Reviewerly/exHarmony huggingface dataset:
Spotlights on Recent <i>JACS</i> Publications, Volume 145, Issue 36

ADVERTISEMENT RETURN TO ISSUESpotlightNEXTSpotlights on Recent JACS Publications, Volume 145, Issue 36ACS Contributing CorrespondentsACS Contributing CorrespondentsMore by ACS Contributing CorrespondentsCite this: J. Am. Chem. Soc. 2023, 145, 36, 19421Publication Date (Web):September 6, 2023Publication History Received5 September 2023Published online6 September 2023Published inissue 13 September 2023https://doi.org/10.1021/jacs.3c09723Copyright © 2023 American Chemical SocietyRequest reuse permissions This publication is free to access through this site. Learn MoreArticle Views649Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (605 KB) Get e-AlertscloseSUBJECTS:Anions,Genetics,Lanthanides,Nitrogen,Perovskites Get e-Alerts
The Effect of ICT in Education and Teaching: Student Evaluation Based Verification

ICT, Information Communication Technology, is a course that is being taught in several different institutions. The role of this course is crucial in the teaching and grading process. The significance of this course is based on several different factors. ICT increases the mental capabilities of the students. In this study we have shown that IT based knowledge and accessibility to the internet increase the capability of students for rapid absorbing of information, fast processing, and achievement of smart conclusions. High speed modeling and simulation by digital techniques enable students to learn by doing, leading to actual and real implementation of the invented models and IT obtained knowledge. Quantified knowledge, by numerically represented data and their smart distribution, leads to deterministic and logical decision. The tests we have performed, in addition to this work, methodology we have applied, by using temporal based distribution of data and information, have shown the advantage of IT and internet, for a better and faster understanding process of absorbing and incubating the knowlage by the students, during the learning and teaching process, leading to the optimal conclusion. Our study is based on three possibilties, modes or cases: First case: The tests are performed to the studens with no IST education. Second case: The test is introduced to the groupe of students with superfisial or lack of proper ICT education or training. Third case: A group of students trained in a proper way, where thoroughly professional manner is applied. A correct representation of the data is verified by Fourier Transform Technique and frequency representation of information. Knowing how to manipulate with the computer models and platforms or prograns accesible at internet, that can be used for primary and secondary school teaching, is a very important approach and possibility that is being used today in different teaching sessions.&#x0D; &#x0D; Received: 13 April 2023 / Accepted: 10 August 2023 / Published: 5 September 2023
Random Encoding Models

In this chapter, we review random encoding models that directly reduce the dimensionality of distributional data without first building a co-occurrence matrix. While matrix distributional semantic models (DSMs) output either explicit or implicit distributional vectors, random encoding models only produce low-dimensional embeddings, and emphasize efficiency, scalability, and incrementality in building distributional representations. We discuss the mathematical foundation for models based on random encoding, the Johnson-Lindenstrauss lemma. We introduce Random Projection, before turning to Random Indexing and BEAGLE, a random encoding model that encodes sequential information in distributional vectors. Then, we introduce a variant of Random Indexing that uses random permutations to represent the position of the context lexemes with respect to the target, similarly to BEAGLE. Finally, we discuss Self-Organizing Maps, a kind of unsupervised neural network that shares important similarities with random encoding models.
Conclusions and Outlook

This chapter concludes the book with a general summary of the current state of distributional semantics, its future prospects, and challenges.
Distributional Semantics beyond the Lexicon

This chapter presents current research in compositional distributional semantics, which aims at designing methods to construct the interpretation of complex linguistic expressions from the distributional representations of the lexical items they contain. This theme includes two major questions that we are going to explore: What is the distributional representation of a phrase or sentence and to what extent it is able to encode key aspects of its meaning? How can we build such representations compositionally? After introducing the classical symbolic paradigm of compositionality based on function-argument structures and function application, we review different methods to create phrase and sentence vectors (simple vector operations, neural networks trained to learn sentence embeddings, etc.). Then, we investigate the context-sensitive nature of semantic representations, with a particular focus on the last generation of contextual embeddings, and distributional models of selectional preferences. We end with some general considerations about compositionality, semantic structures, and vector models of meaning.
Gangguan Kecemasan Masa Remaja sebagai Sumber Ide Penciptaan Karya Seni Lukis

The idea raised in this paper is Anxiety Disorder. Anxiety disorders experienced by the author since her youh until now. Anxiety disorders arise from past trauma due to bullying in the family and in society. Anxiety disorders which experienced by the author are related to excessive fear and anxiety accompanied by behavioral disorders. Events that are imprinted on the memory give rise to noisy thoughts and feelings. The problems to discuss in this article with the following. problem formulation are 1) What is an anxiety disorder 2) Why the concept of anxiety disorder is the source of the idea of creating a painting 3) How is the visualization of a painting with the concept of an anxiety disorder as the source of the idea for creating a work of art. The purpose of this Art Creation Thesis is to be the concept of painting creation that visualized by a drawing technique using drawing pen and charcoal on linen paper. Black and white works are applied to convey thoughts, feelings and everyday experiences. The works present using black frames with passepartout along with performance art video. Performance art that includes in this artwork is to be used as a medium to convey honesty through the body. This art work creation practice produces novelty in terms of the concepts, techniques and presentation.Keywords: Anxiety Disorder, Art Painting, Drawing Techniques.
MULTIPLE EXPOSURE DAN DIGITAL IMAGING SEBAGAI METODE PEMBUATAN PHOTOBOOK BAHASA ISYARAT

This study explores photographic works that can be utilised as fine artwork and as learning media for deaf people. The research method used in creating works of art is searching for ideas, deepening and developing them. Through this method, the creation of photography works bg visualizing hand movement and expressions using two techniques, namely multiple exposure and digital imaging. The object of this photo is someone who has mastered sign language. This research then produced several photographic works combined into a photobook that can be used as a teaching and learning media for teachers and students at special schools.Keywords: photography, sign language, photobook, learning media.
ABOUT CHATBOTS, THEIR RELEVANCE AND IMPORTANCE FOR IT STUDENTS

The rapid development of the IT industry in recent years has brought about revolutionary advancements and transformative changes across various sectors of society, impacting how we live, work, and interact with technology. In light of these profound shifts, it becomes increasingly imperative for individuals and organizations to recognize the significance of aligning with these emerging trends and embracing the ever-evolving landscape of the IT field to stay competitive and foster innovation.
Manajemen Pendidik Dalam Mengembangkan Bahasa Melalui Media Buku Cerita Bergambar Di Paud Anak Negeri

One aspect of child development that must develop is language development, so that children are able to communicate well in their social environment, training children to speak can improve communication and speak better, at an early age, the development is very good and it is very important for a teacher to stimulate child development to develop well, the role of a teacher or educator is very important in PAUD Anak Negeri. Educators who promote children's language development through picture book media and so-called "mewaran" media can help children begin to concentrate on what they hear, become more active with language, and learn to tell stories in simple words. By being able to complete it, you can successfully develop your child's language. language. This study uses qualitative and descriptive research types. High-quality research is research that illustrates research findings in this area. This study suggests that language development using the medium of picture books may have a positive impact on children.
Model Project Based Learning untuk Meningkatkan Hasil Belajar Matematika Materi Penyajian Data Kelas IV

Learning in classes that are less interesting causes learning to be held less than optimally. This has a negative impact on mathematics learning outcomes in data presentation material. This study aims to improve students' learning achievement through the application of the Project Based Learning (PjBL) learning model. This type of research is classroom action research carried out in three cycles. Each cycle consists of planning, action implementation, observation/evaluation, and reflection stages. The subjects of this study were fourth grade students at SD Negeri 1 Ternyang, totaling 23 students. Methods of data collection using tests. The test is used to measure student learning achievement after applying the Project Based Learning (PjBL) learning model. Data analysis techniques using quantitative and qualitative descriptive analysis. The results showed that there was an increase in learning outcomes at the pre-cycle stage, student learning outcomes only reached an average of 60 with a complete learning of 30.43%, in cycle I there was an average increase of 78.26 with a completeness of 78.26%, in cycle II the average increased to 84.13 with 86.96% mastery. In cycle III the average increased to 86.08 with 96.65% mastery. So the application of the Project Based Learning (PjBL) model was able to improve the learning achievement of fourth grade elementary school students. The implications of this research are expected to have a positive impact on student achievement.
The Evaluation of Distractor in English Semester Exam at Junior High School

This study aims to determine the quality of the items in the Odd Semester Final Examination Questions for English Subjects at SMP NEGERI 09 Padang for the 2022/2023 Academic Year. This research is quantitative descriptive. The Odd Semester Final Examination Items for English Subjects of SMP NEGERI 09 Padang consist of 50 multiple choice questions. This type of research is descriptive quantitative research. The participants of this study were 70 students of class VIII at SMP N 09 Padang which were determined through simple random sampling technique. This instrument is documentation of student answer sheet and key answer. From the data analysis the researcher can conclude that in terms of the effectiveness of the distractor, there are 19 items (38%) belonging to the very good and 15 items (30%) categories, 11 items (22%) including the sufficient category, 3 questions (6%) including the poor category, and 2 questions (4%) the questioners fall into the bad category
Analysis Of Students’ Difficulties In Writing Scientific Works At The Faculty Of Culture, Management

In general, students who are compiling their thesis often experience difficulties. The difficulties encountered are very diverse, ranging from a lack of understanding of the problem to be studied, limited references, lack of mastery of theory, not having the desire to start writing, being busy working, and so on. This study aims to analyze the difficulties of seventh semester students in writing scientific papers. This type of research is descriptive research with a qualitative approach. Subject This research is students of seventh semester (semester VII) or final year who are under thesis guidance. Data collection techniques in this study using a questionnaire. A difficulty questionnaire was administered to students who were writing their thesis. Data analysis techniques using percentage techniques are then described. The results of the research generally obtained information that students had difficulty in putting ideas into scientific writing, namely around 58.47%. The use of statistics in data processing is a percentage of 41.64%, and the telling of research results is a percentage of 54.17%. The results of the research are expected to be input, information and reference for all students of the Faculty of Culture, Management and Business of the Mandalika University of Education so that the difficulty factor for students in completing thesis can be overcome.
Zero-Shot Human–Object Interaction Detection via Similarity Propagation

Human-object interaction (HOI) detection involves identifying interactions represented as [Formula: see text] , requiring the localization of human-object pairs and interaction classification within an image. This work focuses on the challenge of detecting HOIs with unseen objects using the prevalent Transformer architecture. Our empirical analysis reveals that the performance degradation of novel HOI instances primarily arises from misclassifying unseen objects as confusable seen objects. To address this issue, we propose a similarity propagation (SP) scheme that leverages cosine similarity distance to regulate the prediction margin between seen and unseen objects. In addition, we introduce pseudo-supervision for unseen objects based on class semantic similarities during training. Furthermore, we incorporate semantic-aware instance-level and interaction-level contrastive losses with Transformer to enhance intraclass compactness and interclass separability, resulting in improved visual representations. Extensive experiments on two challenging benchmarks, V-COCO and HICO-DET, demonstrate the effectiveness of our model, outperforming current state-of-the-art methods under various zero-shot settings.
Adaptive Clustering based Personalized Federated Learning Framework for Next POI Recommendation with Location Noise

Next point-of-interest (POI) recommendation has been a hot research topic, which enables new paradigms for kinds of location-based services in real-world scenarios. Due to the privacy concerns and rigorous data regulations, federated learning provides a distributed learning framework to collaboratively train the recommendation model without sharing the highly sensitive POI data with others. However, there exist two main challenges, namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">location noise</i> , and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">balance between personalization and knowledge sharing</i> , seriously restrict the development of the federated next POI recommendation. To this end, in this work, we propose an adaptive clustering based personalized federated learning framework for next POI recommendation with location noise, named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPF-POI</i> , to address the above challenges. In detail, within the local client, a location recovery module can efficiently remove noises under the given assumption from the noisy POI data in which the recovery error bound can be theoretically proved. Then, within the parameter server, an adaptive clustering scheme is proposed to capture the internal relatedness among all clients to augment positive knowledge sharing. In order to make a balance between personalization and knowledge sharing under personalized federated learning framework, we design an alternative optimization process between clustering similar clients and minimizing local personalized loss functions. Finally, extensive experiments are conducted on two diverse real-world datasets to show the advantages of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPF-POI</i> over state-of-the-art methods. improvement across all metrics on average.
Qualitative Uncertainty Reasoning in AgentSpeak

This paper presents an extension of AgentSpeak using dynamic epistemic logic (DEL) to reason about uncertainty. The extension relies on minimal AgentSpeak syntax to describe uncertainty, while augmenting the language with possibilistic reasoning via modalities. We apply the extension to a realistic navigation example with partial observability and vary the amount of uncertainty to evaluate scalability. Scalability is compared with an existing extension which relies on a less expressive form of DEL. We find that DEL’s increased expressiveness comes with a linear cost in computational complexity.
Students Using Lexia&amp;reg; Core5&amp;reg; Reading Show Greater Reading Gains Than Matched Comparison Students

This report evaluates the effects of Lexia® Core5® Reading on the reading achievement of students in grades 3–5 during the 2021–2022 academic year. The authors compared the students in the study school district with similar students in similar schools across the United States that did not use Core5. Students who used the program experienced larger average reading achievement gains, but the analysis cannot rule out selection bias.
Review On Odometry Techniques in Robotics Applications

With speedy advancements within the location of robotics and automation, a developing want has arisen in the direction of accurate navigation and localization of transferring gadgets. Modern sensors and algorithms are required for shifting robots with the capability to understand their environment, and enable the deployment of novel localization schemes, which include odometry, or Simultaneous Localization and Mapping (SLAM). For self sufficient navigation, movement tracking, and obstacle detection and avoidance, a robotic need to preserve information of its function over the years. Imaginative and prescient-based totally odometry is a sturdy approach applied for this cause. It lets in a automobile to localize itself robustly with the aid of the usage of best a movement of pix captured through a camera connected to the vehicle. This paper presents a top level view of present day odometry techniques, packages, and demanding situations in cell robots. The observe offers a comparative evaluation of different techniques and algorithms related to odometry and emphasizing on its efficiency and different characteristic extraction functionality, and programs. In this paper we have done a rigorous literature survey on odometry techniques and presented it in a proper format.
Effectiveness and Limitations of existing techniques for privacy preservation data mining (PPDM) for Medical Data

This survey paper examines the application of Federated Learning (FL) and secure Multiparty Computing (MPC) considering medical data privacy, further provides an overview of FL and MPC techniques and discusses their strengths and weaknesses. This also covers other techniques like Homomorphic Encryption, data masking, differential privacy for its efficiency, and limitations.
Secure Internet of Things (IoT) Networks: Study the challenges and develop solutions for securing IoT networks, including authentication, access control, and data protection

The present study focuses on the security issues that arise in the context of IoT networks and puts forward potential remedies in the areas of authentication, access control, and data safeguarding. Through a comprehensive analysis of the extant scholarly works, we ascertain deficiencies and construct a framework incorporating sophisticated procedures and cryptographic techniques. The model in question guarantees data confidentiality and integrity while considering limitations in available resources. The efficacy of network security enhancement is demonstrated through the use of simulations. The present study offers valuable contributions to the domain of IoT security by furnishing pragmatic perspectives for safeguarding IoT networks and promoting confidence in the burgeoning IoT milieu.
Android Mobile Application System for Pet Care Services Using MVVM Architecture

The K1 clinic (Kawan Kewan) is a veterinary clinic in the city of Magelang that was established in 2018. There are many ways to improve the services at the K1 clinic (Kawan Kewan). Pet Owners are worried when going to the vet clinic because they are uninformed of the incurred expenses that they will get after having a medical examination at the clinic. Meanwhile the clinic needs a system that can manage administration and can increase the satisfaction of customers who come to the clinic, as well as manage all administration related to the veterinary service process. The primary goal of this research is to make an Android-based mobile application to simplify administration and give a better experience for every customer who come to the veterinary clinic. In this research, the waterfall method is used as a testing tool because this method allows for departmentalization and control. Therefore, this method is suitable for solving the existing cases at the K1 Veterinary Clinic (Kawan Kewan) by utilizing the MVVM architecture framework for Android application development. The application, which was created utilizing the MVVM design and the Kotlin programming language, was tested on users and produced pleasing results. It efficiently meets the needs of users and clinics, making pet services possible.
On Conway’s Brussels Sprouts

John Horton Conway stood out from many famous mathematicians for his love of games and puzzles. Among others, he is known for inventing the two-player topological games called Sprouts and Brussels Sprouts. These games start with n spots ( n crosses resp.), have simple rules, last for finitely many moves, and the player who makes the last move wins. In the misère versions, the player who makes the last move loses. In this paper, we make Brussels Sprouts colored, preserving the aesthetic interest and balance of the game. In contrast to the original Sprouts, Colored Brussels Sprouts allows mathematical analysis without computer programming and has winning strategies for a large family of the number of spots.