Share on FacebookShare on X (formerly Twitter)Share on PinterestShare on LinkedInPANAMA CITY Anastacio this week as she received her Golden Apple Award Teaching at Patronis Elementary School for 30 years she said she drives in everyday from Destin because it is the best She said she enjoys teaching her 2nd graders because “They’re like little sponges and they take in everything that I can give them and they’re just a lot of fun.” She describes everyday as being different with many different ways to approach the day you will also have fun and your day flies by.” Anastacio explains the benefits of staying in one place and how she would like to thank the wonderful students “For teaching this many years you get to know that everybody has different skills Everybody brings different things to the table it’s just been great being in the same place for so many years.” To stay up to date on all the latest news as it develops, follow WJHG on Facebook, Instagram and X (Twitter) Have a news tip or see an error that needs correction? Email news@wjhg.com Please include the article’s headline in your message Keep up with all the biggest headlines on the WJHG News app, and check out what’s happening outside using the WJHG Weather app a paraprofessional at Patronis Elementary School in Panama City Beach was called to the principal's office on April 3 the tall Brazilian with big-big energy was surprised by several colleagues they presented him a bouquet and certificate of statewide achievement Bay District Schools was notified by the Florida Department of Education that their trilingual language assistant was recognized as one of the state's top five school-related employees of the year In January, Anastacio won the “Support Employee of the Year” award during the 2024-25 Excellence in Education Awards Ceremony held at Bay High School As a key figure in Patronis Elementary's international community Anastacio bridges language barriers for students ensuring every child has the support they need to succeed said Anastacio represents everything about Bay County and the state."He's just all the things that students love," Loyed said that's 90% of the battle … just get pumped up about the day." Anastacio said he wasn't expecting the recognition but wanted to thank everyone who trusted him and supported him on the big achievement The language facilitator will represent Bay County at the state competition in Orlando later this year Anastacio is currently enrolled at Gulf Coast State College and wants to become an English as a Second Language educator (That's Portuguese for "Congratulations on all your hard work!") (WJHG/WECP) - A Bay District Schools’ employee is making a statewide impact Patronis Elementary School’s language assistant received a surprise announcement—he’s a finalist for Florida’s top school employees Shock, excitement, and pure joy filled the room as Mr. Eduardo Anastacio learned he is a finalist among Florida’s top five school-related employees of the year for 2025. Just months ago, he was named Bay District Schools’ support employee of the year and he was just as excited then as he is now The Florida Department of Education’s program recognizes outstanding educational support personnel honoring the contributions they make to their schools This Brazilian native teaches English to 38 foreign students at Patronis Elementary School making them his biggest motivation to go to school every day “As a language assistant I have to help kids learn English and dynamic; are all qualities that represent Mr “He’s just everything you would want in a support employee or a full-time faculty member he’s just all the things that students love; he’s personable he has energy,” said Patronis Elementary School’s principal Brooke Loyed Anastacio also has a second job and is working towards his teaching certification to soon become a full-time ESOL teacher “I remember learning English by myself when I was taking a shower He will now be heading to the state competition to represent Bay District Schools This website is using a security service to protect itself from online attacks The action you just performed triggered the security solution There are several actions that could trigger this block including submitting a certain word or phrase You can email the site owner to let them know you were blocked Please include what you were doing when this page came up and the Cloudflare Ray ID found at the bottom of this page Countries & Areas Bureaus & Offices About Narcotics Rewards Program: Brought to Justice the Sinaloa Cartel is largely responsible for the massive influx of fentanyl into the U.S On March 18, 2023, Soto Vega was arrested in Athens, Greece, on a provisional arrest warrant based on charges in a criminal complaint which were later included in an indictment.  He remains in custody pending extradition to the U.S.. On April 4, 2023, a federal grand jury in the Southern District of New York returned an indictment against Anastacio Soto Vega and others charging them with Fentanyl Importation Conspiracy, Possession of Machineguns & Destructive Devices, and Conspiracy to Possess Machineguns & Destructive Devices. The U.S. Department of State is offering a REWARD OF UP TO $1 MILLION for information leading to the conviction of Anastacio Soto Vega. If you have information, please contact the DEA via email at ChapitosTips@dea.gov.  If you are located outside of the U.S., you may also visit the nearest U.S. Embassy or Consulate.  If in the U.S., you can contact the local DEA office in your city. ALL IDENTITIES ARE KEPT STRICTLY CONFIDENTIAL. Government officials and employees are not eligible for rewards. We use cookies to make our website work better and improve your experience. By continuing to use the site, you agree to our privacy policy. Volume 9 - 2021 | https://doi.org/10.3389/fchem.2021.787194 Despite the increasing number of pharmaceutical companies less than one percent of initially researched drugs enter the commercial market virtual screening (VS) has gained much attention due to several advantages reduced reagent and consumable costs and the performance of selective analyses regarding the affinity between test molecules and pharmacological targets VS is based mainly on algorithms that apply physical and chemistry principles and quantum mechanics to estimate molecule affinities and conformations VS has not reached the expected results concerning the improvement of market-approved drugs comprising less than twenty drugs that have reached this goal to date may comprise a powerful tool to improve VS results concerning natural products that may be used both simultaneously with standard algorithms or isolated This review discusses the pros and cons of GNN applied to VS and the future perspectives of this learnable algorithm which may revolutionize drug discovery if certain obstacles concerning spatial coordinates and adequate datasets Mathematic modeling comprises a valuable important tool in the development of the pharmacology and chemistry fields since their beginning as formal disciplines (Gaddum, 1953; Atkinson and Lalonde, 2007; Finlay et al., 2020) most traditional pharmacologists and chemistries are very accustomed in employing math modeling to solve or aid current issues regarding the development of new drugs The first chemoinformatic assessment was reported by Ray and coworkers (1957) who employed a new algorithm to detect molecular substructures Representations of tensors in different orders (dimension Column 1 lists the elements that compose the sets corresponding to each dimension The number of sets is in agreement with the number of dimensions except for the dimension 0 as one element only is used to represent a scalar More elements could have been used in each set for dimension 1 and above but only two elements were used to reduce the complexity of the figure comprising the same two elements in all dimensions Column 2 contains elements “boxed” and spatially arranged in correspondence with the respective data structure These comprise a row vector of “boxes” for dimension 1 a matrix with rows and columns of “boxes” for dimension 2 Column 3 exhibits an equivalent arrangement as in the preceding column except that each element is represented with “one-hot” encoding instead of numeric encoding The “one-hot” representation is usual in neural networks to input information representing a set of features Each feature is represented by a finite set of possible values of a specific feature attribute with values ordered as positions in a sequence of values “0” and “1.” As an example if a specific feature has an attribute summarized as having N possible values it is represented by a sequence where one numeric value “1” is located in correspondence with the observed value of the attribute and N-1 values “0” are located in the positions corresponding to the other values composed by a longer sequence chaining the “one-hot” representation of all features Column 4 of the table presents examples of tensor representations as they are usually coded in computational language (Python coding At the beginning and ending of the data representation the number of square brackets must conform to the tensor dimension Columns 5 and 6 are the nomenclature of each kind of tensors up to rank 4 and its respective dimensions This review focus on a subtype of deep learning algorithm named graph neural network (GNN), currently one of the most applied. Despite being recent, the use of deep learning algorithms employing GNN may revolutionize the VS field, considered by some authors as the state of the art due to its high accuracy rates (Gaudelet et al., 2021) This article is mainly directed towards scientists teachers and students that work with drug discovery or enthusiasts concerning this topic a more didactic language and clear figures will be employed to clarify this theme and “recruit” new users of this technology Structure-based drug design is mainly employed when the structure of target is known through the application of structural methodologies nuclear magnetic resonance and cryo-electron microscopy The term “deep” in deep learning indicates a hidden layer or “hidden neurons,” as this network is initially based on neural functioning and it is important to compare “math neurons” to biological neurons to better understand deep learning impacts in any modern world area a synapse between the sensitive neuron with an interneuron that synapses onto (A) Schematic representation of a hand touching a hot pan and receiving a temperature sensory receptor stimulus (B) The stimulus provokes a signal that will travel through a sensory neuron into the spinal cord releasing excitatory neurotransmissions when it synapses with an alpha motoneuron that innervates the biceps The sensory neuron will also synapse with an interneuron that synapses with an alpha motoneuron that innervates the triceps although in this case inhibitory neurotransmitters are released (C) Channels from the TRP family expressed in sensory neurons will open following the thermal stimulus leading to an entrance of cations such as sodium resulting in membrane depolarization that could trigger an action potential (D) Reflex of removing the hand from the heat after touching the pan It is important to note this movement is performed through the association of inhibitory and excitatory synapses that work as positive and negative weights in artificial neural networks Comparative model of perceptron and real neuron A neuron receives both excitatory and inhibitory signals through the release of different neurotransmitters from different biological neural networks that generates postsynaptic excitatory or inhibitory potentials These potentials can add up with space or time in a continuous manner If this voltage reaches the potential threshold it will trigger an AP in the axon implantation cone (hillock) which will lead to the passage of the signal through the axon and the axon terminals until it synapses with other neurons This type of signal can be classified as digital because it occurs (binary 1) or not occurs (binary 0) depending on the signal reaching the action potential threshold It is important to point out that the discovery of the action potential mechanism comprised a fantastic association of bench work and modeling performed by Huxley and Hodgkin with seminal papers published after the Second World War comprising a cornerstone of computational neuroscience (Schuetze, 1983; Hausser, 2020). In same period, McCulloch and Pitts (1943) were the first to mathematically model a neural network Macculloch had an undergraduate degree in psychology and a graduate degree in medicine both engineers that worked on the Second World War radar defense system and his team at the Cornell Aeronautical Laboratory developed the perceptron algorithm implemented in an IBM 704 consisting of the first “perceptron computer” to detect visual stimuli a significant perceptron innovation comprised weights that act as excitatory and inhibitory neurotransmitters chemical synapses in neurons The nervous system transduces external and internal signal as explained above through receptor potentials The receptor potential and postsynaptic potentials can be added temporally and spatially act as an aggregation function in perceptron and deep learning methods These potentials can trigger an action potential in areas displaying a high number of voltage-gated sodium channels when the potential reaches a certain threshold the analogic signal become a digital signal generates different frequencies to “pass along the message.” binary step function or heaviside function–This function was used in the early perceptron era It is unsuitable for gradient descent learning methods since its derivative is 0 along almost the entire domain (B) Logistic or sigmoid function—This is perhaps the most extensively applied activation function depending on the value of parameter δ (C) Hyperbolic tangent (TanH)—This function is used as an alternative to the sigmoid function when a range of output from −1 to 1 is needed instead of the range from 0 to 1 given by the sigmoid function (D) Softplus function or rectifier (as the shape of the function resembles the behavior of a rectifier diode)—It is differentiable along the entire domain as the two previous functions since its derivative exhibits non-zero values along the entire positive domain while sigmoid and hyperbolic tangent present derivatives approaching zero asymptotically for large argument values A non-zero derivative along a broader range may contribute to speed up the learning process The derivative of the softplus function is the sigmoid function (E) Rectified linear unity function (ReLU)—This function is used as a simple linear alternative to the softplus maintaining the same advantage of a non-zero derivative along the entire positive domain but suffering the problem of a discontinuity in the derivative for argument equal to 0 (F) Leaky ReLU—This function is a “leaky” form of ReLU The answer of this function in the negative domain comprises an attenuated version of the linear response in positive domain Depending on the attenuation parameter being a constant or an adjustable value the function may be also named Parametric ReLU The non-zero negative domain provides some decrease in the occurrence of dead neurons the region of ReLU curve where any signal corresponds to zero as a response where an illustrative example of a prediction using message passing neural network (MPNN) is provided including graphical (such as 3D structures) One way of representing a molecule is to use graphs that work as a kind of an abstract version of a molecular modeling kit The instructions to mount a given molecule model with N atoms labeled by sequential numbering (formally known as nodes) can be given by a table with N rows and N columns where the existence of a bond (named edge) between each pair of atoms i and j is represented by a value 1 in row i and column j in the given table (named adjacency matrix) and with every other position in the table presenting value 0 A molecular prediction process scheme employing a message passing neural network (MPNN) as molecule embedder (A) Ammonia was chosen as a candidate for prediction (B) Text representation of ammonia as a simplified molecular-input line-entry system (SMILES) sequence and molecular formula (C) The SMILES sequences are converted to a graph with three edges representing a molecular bond between hydrogen (green) and nitrogen (yellow) (D) h0 is the feature space for a specific atom is didactically associated with the corresponding atom number (E) These features comprise the atom features which are averaged with the message function (F) An example of how the first step of the MPNN is computed for nitrogen (n4) is provided (G) The final step of MPNN is a feature embedding for each atom which can be summed to be then used by a feed-forward network for final predictions (H) M is the feature embedding for each atom consisting in a shape of (N Atoms x E Embedding space) This (NxE) tensor can be feeded into a more simplistic network architechture i.e.: Feed Forward to train task-specific models Summary of main graph neural network architectures employing schematic neurons to demonstrate the signal passage through different layers The predicted value named ŷ is obtained in the final layer This value will be decreased from the real y value The process is repeated until the smallest possible error is reached through a backpropagation algorithm It is possible to extrapolate a molecule representation in the same graph-like structure of a social network, where atoms comprise the people and bonds are equivalent to relationships. It is also possible to convert a textual representation into a graph representation. Figure 6 provides an example of this conversion with ammonia represented as its molecular formula and SMILES (simplified molecular-input line-entry system) The latter presents some conventions that make molecule interpretation easier by computer programs The sequence is converted into a graph displaying the aforementioned edge and bond relationship graphs allow for not only modeling relationships but also for adding node and edge information it is possible not only to store how friends are related but the name of each friend (which would be node-added information) or when the friendship began (edge-added information) this allows for information on atoms (i.e. bond type) to be stored alongside the bonds and atoms that represent the molecule itself information coding concerning atomic features corresponding to one value choice among a set (for example the kind of the atom in a node being chosen from a list of M possible atoms) may be performed by “one-hot” coding where the position in the list that corresponds to the specific feature of the atom occupying the node being set to 1 and the remaining M-1 positions considering a short list of possible atoms as (H the nitrogen in the ammonia molecule would be represented by (0,0,1,0,0,0,0,0) and each of the hydrogen atoms by (1,0,0,0,0,0,0,0) Features that can be expressed by integer values may be coded by the integer value itself or also by “one-hot” coding considering a list of all possible values attributable to the investigated feature considering an entire set of atomic features is obtained by concatenating the codes attributed to all these features in the form of a vector in a defined order it is usual for these vectors to present a dimension around one hundred or more The features of the entire molecule are thus represented by a matrix whose rows corresponds to the feature vectors of the atoms according to the sequential order in which they are labeled even small molecules may be represented by matrices with hundreds to thousands of values A neural network layer with a matrix of features like these as input and a number of neurons about the same order as outputs would easily surpass millions of parameters to be adjusted by training In this context, convolution techniques have been proven useful to enhance molecular features while, at the same time, significantly reduce the dimension of the feature matrix, as depicted in Figure 7 Convolution has been extensively employed in image or language processing and consists in multiplying a small matrix known as “filter” or “kernel,” by the data matrix (the feature matrix The dimension of the filter usually comprises few rows and columns and the multiplication takes the same number of elements as the filter from the data matrix considering the element in the first row and the filter column being aligned with one element in the data matrix in a variable position for each element in the filter a corresponding element is noted in the data matrix with an equivalent offset of rows and columns regarding the first filter element The data matrix and filter elements are multiplied position by position and summed (an operation equivalent to the scalar product) the scalar product is obtained for each alignment position by moving the filter from the first row and first column of the data matrix known as “stride,” corresponds to a value in the range from 1 to the corresponding filter dimension (A) Example of an atomic feature matrix and an adjacency matrix for ammonia j in the adjacency matrix are representations of the connection between atoms i and j A combination of the feature and adjacency matrix is performed by column wise multiplication Each atomic bond corresponds to a “page” in the array A filter (kernel) corresponding to a 3D matrix with the same number of pages as the combined data set feature-adjacency is applied to the matrix through a scalar product when inserted in a neural network comprise weight parameters for the connections and its values are adjusted by training defining the filter characteristics in an optimized manner The offset of the filter with respect to the data set is swept to cover the entire indices range The result of the convolution operation in this example is a 2D array with four rows and N-2 columns where N is the number of columns in the feature matrix (B) Example of a hypothetical neural network used to calculate the value of a property of a given molecule Several convolution layers are chained to perform the embedding of the data representing the atomic features and the atomic bonding the result being a 1D vector which is further submitted to a fully connected neural network The output of this network is the desired parameter The training algorithm adjusts the parameters of all kernel filters and the weights of the output neural network until the error of the predictions compared to the training set are minimized Comparing the dimension of the original data matrix with to the corresponding dimension of the convoluted matrix and convolution filter displaying a dimension J rows by K columns and a stride value of Sr and Sc for rows and columns when dimensionality reduction is not a desired convolution result a convenient filling with all zero to rows and columns around the data matrix may be performed previously to convolution known as “padding.” Considering the addition of Pr rows with zeros above and below the data matrix and Pc columns with zeros on the left and right of the data matrix techniques combining the features matrix with the adjacency matrix forming a multidimensional array followed by use of convolution techniques to obtain smaller arrays or even vectors as a result a general process usually known as “embedding,” provides a more compact representation joining atomic and bond features This representation is much more convenient to be used as input in a final fully connected feed forward neural network to obtain the final value of the molecular property of interest being modeled Chaining groups of graph representation layers and graph convolution layers in a network structure to predict molecular properties has been reported as achieving superior performance in some molecular property predictions (Wang et al., 2019) Despite having the same single bond to the new hydrogen as it had to the previous hydrogen atom ammonium displays many different properties compared to ammonia The addition of a new hydrogen affects the other atoms in the molecule altering its shape from triangular pyramidal to tetrahedral This can be construed as the message propagating from one atom and bond (from the nitrogen to the new hydrogen) to the others atoms (the remaining hydrogens) This message function is one of the learned functions within the MPNN the purpose of the MPNN is to convert the unstructured data of a graph (which previously comprised a simple text) into a semantic embedding which essentially comprises a tensor assumed to be the best molecule summarization This summarization in the form of a tensor can be applied to any subsequent task such as predicting blood-brain barrier permeability The base assumption is that learning how to best summarize the molecule should simplify any following prediction that employs this summarization Recently, Wieder et al. performed a literature survey accounting for about 80 different GNN models in 63 publications, which were applied to different fields such as quantum chemistry, physicochemical property predictions, biophysics, biological effects, and synthetic accessibility (Wieder et al., 2020) This section discussed some recent GNN applications to VS field Currently, an increasing number of articles describing new frameworks to predict interactions between ligands and proteins is noted (Jin et al., 2021) these graph-based neural networks are gaining new adaptations and constantly exhibit better performance than conventional molecular docking programs Jiang et al. created an accurate model (<96%) to predict drug-target interactions, based on the construction of two graphs: one for the molecule according to its SMILES sequence, and one protein graph built from a contact map of the protein sequence. Subsequently, two GNN extracted the information and were able to predict the affinity of the ligand and the target protein (Jiang et al., 2020) Furthermore, GNN algorithms can be used to predict EC50, solubility, and molecular properties. They are also able to perform molecular dynamics simulations (Duvenaud et al., 2015; Klicpera et al., 2020) Although GNN show better results in terms of accuracy than molecular docking methodologies, for example, their applications to VS are still scarce and studies are still recent. This demonstrates that VS is still not able to keep up with the growth rate of the improved GNN models currently being produced. However, this will probably change soon. VS results obtained by GNN are summarized in Table 2 In another study, Hsieh et al. used GNN methodology to discover repurposable drugs to treat COVID-19. Their model was constructed based on the SARS-CoV-2 knowledge graph map, which considers several virus interactions such as baits, host genes, pathways, phenotypes, and drugs. Their work highlighted 22 potential drugs (Hsieh et al., 2020) Liu et al. performed a VS to discover novel anti-osteoporosis drugs from natural products using a pre-trained self-attentive message passing neural network (P-SAMPNN). Among the five hits selected for in vitro tests, a laudanosine derivative and a codamine derivative exhibited activity at the nanomolar range (i.e., 32 and 68 nM, respectively), suppressing osteoclastogenesis-related genes (Liu et al., 2021) Best performance values are mostly associated with graph-based models, with few exceptions comprising non-graph models performing better than graph models when applied to specific databases and properties (Jiang et al., 2021) RF and XGBoost providing the best AUC-ROC values There may be enough room to find synergism in combinations of graph based on descriptor based models to achieve improved results stating that GNNs outperform other ML methods such as Multilayer Perceptrons for chemical predictions regarding SMILES sequences being similar to Natural Language Processing (NLP) sequences further assessments on evaluating GNNs against Transformer-based DL methods that could simplify inputs and are better described in NLP applications these findings indicate that the use of deep learning tools can aid in overcome the long-standing challenges surrounding natural product research as well as accelerate the drug discovery process and NF prepared the tables; All authors critically reviewed the manuscript and improved it The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher We thank Oswaldo Cruz Foundation and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support We also thank the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) for the financial support (“Redes de Pesquisa em Saúde no Estado do Rio de Janeiro” - Grant number: E-26/010.002422/2019) CrossRef Full Text | Google Scholar Introduction of Quantitative Methods in Pharmacology and Clinical Pharmacology: A Historical Overview PubMed Abstract | CrossRef Full Text | Google Scholar Google Scholar Data Resources for the Computer-Guided Discovery of Bioactive Natural Products PubMed Abstract | CrossRef Full Text | Google Scholar XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties CrossRef Full Text | Google Scholar Dobrev, D. 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(2019). Adversarial Attacks on Graph Neural Networks via Meta Learning. arXiv:1902.08412v1. Available at: https://arxiv.org/abs/1902.08412 (Accessed December 20 Google Scholar Dias EA and Jose Aguiar Coelho N (2022) Graph Neural Networks as a Potential Tool in Improving Virtual Screening Programs Received: 18 October 2021; Accepted: 10 December 2021;Published: 20 January 2022 Copyright © 2022 Alves, Ferreira, Maricato, Alberto, Dias and Jose Aguiar Coelho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use distribution or reproduction in other forums is permitted provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited in accordance with accepted academic practice distribution or reproduction is permitted which does not comply with these terms *Correspondence: Luiz Anastacio Alves, YWx2ZXNsYWEzMEBnbWFpbC5jb20= Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher 94% of researchers rate our articles as excellent or goodLearn more about the work of our research integrity team to safeguard the quality of each article we publish Please select what you would like included for printing: Copy the text below and then paste that into your favorite email application Enter your phone number above to have directions sent via text This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply Service map data © OpenStreetMap contributors KOROR (Island Times/Pacnews) — The speaker of the House of Delegates penalties and interest on real estate transactions he conducted in 2015 for which he failed to obtain a license and pay taxes on real estate income of $1.875 million penalty and interest assessed against Anastacio is $3.5 million The court also deferred his prosecution for 24 months or until July 2025 Anastacio at the same time is ordered to obtain a license obey all laws and pay his taxes by July 2025 has drawn significant public attention and raised questions about transparency and accountability among Palau’s leadership Anastacio’s legal troubles involved a series of real estate transactions conducted between January 2015 and January 2016 he reportedly earned over $3.27 million from leasing properties in Aimeliik State One of the key deals was a 49-year lease with Chinese national Qin Zhong that generated a substantial portion of Anastacio’s income Anastacio failed to obtain a valid business license as required by Palauan law (40 PNC §1501) while conducting these transactions he is accused of not reporting the income he received from these deals which mandates that all business-related income be reported for tax purposes Anastacio faces up to 10 years in prison and fines of up to $25,000 for misconduct in public office which is classified as a Class B felony under Palauan law could result in a one-year prison sentence or a fine of $1,000 the court has approved a deferred prosecution agreement allowing Anastacio to avoid immediate trial Anastacio must pay the overdue taxes and obtain a valid business license to continue any real estate activities If he complies with the terms of the agreement and avoids further legal violations the charges against him could be dismissed in July 2025 This allows the speaker to rectify the situation without immediate criminal prosecution while his case undergoes scrutiny The allegations against him have sparked concerns about the ethical responsibilities of public officials including legal experts and watchdog groups have stressed the need for greater transparency and adherence to legal standards among government leaders the case highlights the challenges surrounding accountability in Palau’s public sector as the investigation revealed the complexities involved in enforcing tax laws particularly when government officials are involved The Office of the Special Prosecutor has emphasized the importance of holding public servants to the same legal standards as any other citizen remains open and will be closely monitored over the next two years to ensure that Anastacio complies with the conditions of his deferred prosecution such as paying the full amount of back taxes or obtaining the necessary business license the Republic of Palau reserves the right to resume prosecution potentially leading to the full reinstatement of charges and corresponding penalties which played a central role in investigating Anastacio’s financial activities has vowed to remain vigilant in enforcing Palau’s tax laws The BRT’s findings revealed that Anastacio and his spouse were engaged in leasing mangrove properties in Aimeliik without proper business partnership or corporation registration further compounding the legal issues faced by the couple The case has broader implications for Palau’s leadership and political environment with some questioning how widespread such practices might be among other public officials the spotlight remains on whether he will fulfill the legal obligations set out by the court a matter that many will be watching closely Anastacio continues in his role as speaker of the House but his legal entanglements cast a shadow over his tenure the case serves as a reminder of the critical importance of ethical governance and the need for accountability at the highest levels of Palau’s government Your browser is out of date and potentially vulnerable to security risks.We recommend switching to one of the following browsers: Post Courier Sabino Anastacio  was ordered to pay taxes penalties and interest on real estate transactions he conducted in 2015 where he failed both to obtain a license and pay taxes on real estate income of US$1.875million penalty and interest assessed against Anastacio is US$3.5 million Court order deferred prosecution for 24 months or until July 2025 obey all laws and pay off his taxes by July 2025 Anastacio’s legal troubles are rooted in a series of real estate transactions conducted between January 2015 and January 2016 he reportedly earned over US$3.27 million from leasing properties in Aimeliik State One of the key deals was a 49-year lease with Chinese national Qin Zhong which generated a substantial portion of Anastacio’s income Anastacio failed to obtain a valid business license as required by Palauan law (40 PNC §1501) the Speaker is accused of not reporting the income he received from these deals including up to 10 years in prison and fines of up to US$25,000 for misconduct in public office could result in a one-year prison sentence or a fine of US$1,000 the court has reached a deferred prosecution agreement This type of agreement allows the Speaker a chance to rectify the situation without immediate criminal prosecution but places the case under ongoing scrutiny Anastacio’s high-profile role as Speaker of the House has amplified public interest in the case the allegations have sparked concerns about the ethical responsibilities of public officials The Office of the Special Prosecutor has emphasised the importance of holding public servants to the same legal standards as any other citizen Anastacio continues in his role as Speaker of the House With deferred prosecution and taxes unpaid the case against Anastacio remains active… Get the latest news delivered straight to your inbox Send help right to the people and causes you care about Your donation is protected by the GoFundMe Giving Guarantee Share on FacebookShare on X (formerly Twitter)Share on PinterestShare on LinkedInWICHITA FALLS Texas (KAUZ) - Anastacio Mendoza has been indicted in reference to the wreck on Loop 11 that killed 68-year-old Diane Luckett on March 16 Mendoza is being indicted on the charge of Intoxicated Manslaughter with a Vehicle Medoza has been held in Wichita County Jail since the wreck Luckett passed away in Lubbock on Saturday from her injuries Charlie Eipper told our crews that a truck was driving westbound on Seymour Highway while a car turned left from eastbound Seymour Highway onto Loop 11 ran the light at a high speed and hit the car The woman was in the vehicle turning onto Loop 11 Mendoza was in the truck driving westbound on Seymour Hwy More information on the wreck can be found here Inform your decision making with data that supports thousands of decisions daily Find out how ICIS data is helping businesses in your sector Meet strategic objectives with specialised analytics that optimise outcomes Optimise outcomes with expert news and analysis on the issues that matter Connecting markets to optimise global resources with unlimited access to ICIS chemicals news across all markets and regions the industry-leading magazine for the chemicals industry Partnering with ICIS unlocks a vision of a future you can trust and achieve We leverage our unrivalled network of industry experts to deliver a comprehensive market view based on independent and reliable data insight and analytics.Contact us to learn how we can support you as you transact today and plan for tomorrow ICIS® is part of LexisNexis® Risk Solutions Copyright © 2025 LexisNexis Risk Solutions Repped by/in: Cadence Films US, Frenzy Paris  Awards:  Best Film at Milan Fashion Film Festival, Philadelphia Museum of Art Official Selection for Design for Different Futures  Exhibition, Best Director NYFFF 2018 Barbara> It’s extremely important for me to understand the product, brand, and market I’m creating for. Not only for obvious practical reasons but also on a personal level - I want to feel aligned and involved with what I’m making.  Barbara> I’m passionate about storytelling and the human experience, whatever genre, form, or subject matter that might be. I truly believe everyone, no matter how apparently dull, has a story worth telling. Empathising with another’s plight is at the core of what I do and what truly draws me. Work that dares to achieve this is what excites me. Barbara> That my work is 'real' and 'authentic'. That’s kind of true to a certain extent but there’s also often a lot of 'staging' that happens before in order to achieve that 'real' look. And I also really enjoy the challenge of creating a fictional world.  I do wish I had more opportunities to do so in commercial work. Barbara> Once while shooting in Oaxaca I had a storm, followed by a mini earthquake, that destroyed our set on the last day of shooting. We had a group of mariachis as part of our cast so we all just took shelter and ended up drinking tequila and singing. It was quite magical and after that, the rainbow came and the bond created by this clearly translated on the footage, even if the set wasn’t as perfect as it should have been. Barbara> In my experience, the stronger and clearer your vision is, the more respected you are and the less of a balance you’ll need to strike. I think it’s really important to discuss with detail and specificity your vision ahead of time so that by the time you’re on set it’s about executing it together. It’s really important to gain trust and space from the client before in order to bring something to life together Barbara> That’s not something I hugely focus on. My main focus is to communicate stories in the best way possible. And at the end of the day, making films or videos is about sculpting with time, space, light, and characters. All else follows... I don’t think the formats should dictate the storytelling but vice-versa. A great story will find its way and adapt to multiple forms. I see the different formats as packaging, but the essential part is what’s really inside it. This website is using a security service to protect itself from online attacks. The action you just performed triggered the security solution. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. You can email the site owner to let them know you were blocked. Please include what you were doing when this page came up and the Cloudflare Ray ID found at the bottom of this page. More fromWork Contact Advertising Opportunities Newsletters Insights + Opinion Creatives + Projects Advice + Resources Culture + Lifestyle Nicer Tuesdays The View From... POV Forward Thinking Review of the Year Jenny Brewer Olivia Hingley Ellis Tree Elizabeth Goodspeed Liz Gorny Extra Search Barbara is the director with enviable access to some of the finest homes in the creative world and the project is a calming conversational film between Barbara and the tenant of the home an anthropology graduate with little experience in film at the time was approached by the then commissioning director of Nowness Raven Smith to direct the series but it wasn’t like a definite commission,” she explains ‘We’d like to take you to some people’s houses and see what you come up with,’” explains the director I really didn’t have a lot of experience at the time.” In the eighth episode of the series Barbara visits the home of advertising legend George Lois the first three were just me filming and asking questions and one guy working on the sound,” Barbara tells It’s Nice That “It was a good way to make people feel confident but it was difficult for me to concentrate on the focus of the camera and be engaging with the person in front of me.” Over time her team expanded to a director of photography to lend a helping hand “But still we keep it really small because that is what keeps people open It’s quite intrusive to go to someone’s house with a camera Marianne Faithful and Peter Shire to name a few could seem a nerve wracking experience Barbara doesn’t spend a lot of time digging into their lives beforehand “For the first ones I really didn’t have time to do so,” she explains “I’m still not sure what is the best approach obviously sometimes I think this is a good one to research This also means that the questions Barbara asks aren’t formally scripted “There are general ones I ask most people but it’s just reacting to what I see in the space mostly That and how they feel that day and even how I am feeling Usually I find it’s more helpful to just feed from that day to see an outcome The original films were usually apartments in New York as the series continues larger houses are seen “There are some that are a little more challenging in the space itself It’s definitely different to the small apartments I was used to The elements the director decides to include depends on the space “In some cases it’s the structure that is interesting Others it’s the little knick-knacks they have that are interesting.” Barbara’s directorial style is predominately digital in the shorts but small sections cut to characteristic elements of people’s homes in VHS This stylistic decision was informed by Barbara’s grandmother’s house “When the series started I was at my grandmother’s in Brussels and she actually had all these VHS tapes of us When I was looking through them I thought it was perfect it brings you back to childhood videos and how you really live in a space rather than the perfect image of interior design.” On asking Barbara if there were any favourites during her time creating My Apartamento she answers: “They are all kind of special It’s really hard not to appreciate everyone.” However one couple was one Tchaik originally designed for David Hockney Tchaik and Melissa eventually bought the apartment from David and made it their family home Barbara’s ability to make the films so personal as if you’ve actually popped round to this person’s house for lunch it’s very artisanal to me as a piece,” she explains “It’s really subtle things that I look for it’s easier to do it yourself as some editors would cut out those off camera moments the ones when you see the person off guard and how they really live.” My Apartamento: George Lois by Barbara Anastacio for Nowness and Apartamento My Apartamento: Florence Welch by Barbara Anastacio for Nowness and Apartamento My Apartamento: Kelis by Barbara Anastacio for Nowness and Apartamento My Apartamento: Peter Shire by Barbara Anastacio for Nowness and Apartamento My Apartamento: Tchaik Chassay and Melissa North by Barbara Anastacio for Nowness and Apartamento My Apartamento: Marianne Faithful by Barbara Anastacio for Nowness and Apartamento My Apartamento: Jean-Charles de Castelbajac by Barbara Anastacio for Nowness and Apartamento My Apartamento: Adwoa Aboah by Barbara Anastacio for Nowness and Apartamento Lucy Bourton Lucy (she/her) was part of the It’s Nice That team from 2016–2025 first joining as a staff writer after graduating from Chelsea College of Art with a degree in Graphic Design Communication eventually becoming a senior editor on our editorial team a research-driven department with It’s Nice That Fancy a bit of It's Nice That in your inbox Sign up to our newsletters and we'll keep you in the loop with everything good going on in the creative world Instagram TikTok LinkedIn Facebook Twitter Pinterest About Careers at It’s Nice That Privacy Policy Insights Residence Creative Lives in Progress If You Could Jobs © It’s Nice That 2024 · Nice Face Logo © It’s Nice That www.barbaranastacio.com\nwww.nowness.com\nwww.apartamentomagazine.com Barbara Anastacio is a name you may recognise in the opening credits to My Apartamento, an interiors series from Nowness this custom title design balances broken structures with ornate details to embody the protagonist’s sense of disconnection We headed to Arsenal’s training ground to chat to the defender about using creativity to forge a bridge between footballers and the fans Porous is a beautifully tender and tactile meditation on healing from sexual trauma Following the release of his debut book, New York Nico’s Guide to NYC the director and documentary filmmaker Nicolas Heller sat down with our US editor at large Elizabeth Goodspeed to discuss the origins of his widely loved Instagram page his career in filmmaking thus far and why he’s intent on capturing the city’s most charismatic characters About Contact Advertising Opportunities Newsletters Insights + Opinion Creatives + Projects Advice + Resources Culture + Lifestyle Nicer Tuesdays The View From... POV Forward Thinking Review of the Year Jenny Brewer Olivia Hingley Ellis Tree Elizabeth Goodspeed Liz Gorny Instagram TikTok LinkedIn Facebook Twitter Pinterest Careers at It’s Nice That Privacy Policy Insights Residence Creative Lives in Progress If You Could Jobs 2021 at 2:45 pm CT.css-79elbk{position:relative;}Anastacio Salazar of Joliet was arrested by Joliet police late Wednesday night following a domestic violence outburst against his future wife (Mugshot via Joliet Police Department )JOLIET IL —A 28-year-old Joliet man attacked a woman forced her head into a wall and kitchen table in the 300 block of Wheeler Avenue on Wednesday night The woman got away and ran out of the house flagging down a Joliet police officer patrolling the neighborhood Anastacio Salazar was charged with aggravated domestic battery interfering with the reporting of domestic violence an officer was flagged down shortly before 11 p.m near West Marion and Oneill Streets and "officers determined that a female victim had been battered by her fiancé at a residence in the 300 block of Wheeler Avenue." Police said "Salazar attacked the victim multiple times choking her and forcing her head into a wall and kitchen table Salazar refused to let the victim leave the residence." Salazar grabbed the woman's phone throwing it to the ground When the woman ran from the house and tried to drive away "Salazar exited the residence and began punching her vehicle and jumping on the hood The victim was able to flee Salazar and flag down an officer on patrol in the area," police reports state The woman refused medical treatment for her injuries who was arrested by Joliet police in the same area "Salazar was then transported to Amita St Joseph Medical Center by the Joliet Fire Department after complaining about an injury sustained during the incident," police reports show "Salazar was transported to the Will County Jail upon release from the hospital." who lives in Joliet in the 200 block of Westport Drive was booked into the Will County Jail around 3:20 a.m Get more local news delivered straight to your inbox. Sign up for free Patch newsletters and alerts. 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