Reviewerly/exHarmony huggingface dataset:
2022 Emergency Assistance Act — USGS recovery activities

First posted May 17, 2022 For additional information, contact: Associate Director, Natural Hazards Mission AreaU.S. Geological Survey12201 Sunrise Valley DriveReston, VA 20192Contact Pubs Warehouse The Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43) was enacted on September 30, 2021. The U.S. Geological Survey received $26.3 million in supplemental funding to repair and replace facilities and equipment, collect high-resolution elevation data, and complete scientific assessments to support direct recovery and rebuilding decisions in areas affected by declared disasters—earthquakes, wildfires, hurricanes, and floods—that occurred between 2019 and 2021.
Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification

Open-world classification in dialog systems require models to detect open intents, while ensuring the quality of in-domain (ID) intent classification.In this work, we revisit methods that leverage distance-based statistics for unsupervised out-of-domain (OOD) detection.We show that despite their superior performance on threshold-independent metrics like AUROC on test-set, threshold values chosen based on the performance on a validation-set do not generalize well to the test-set, thus resulting in substantially lower performance on ID or OOD detection accuracy and F1-scores.Our analysis shows that this lack of generalizability can be successfully mitigated by setting aside a holdout set from validation data for threshold selection (sometimes achieving relative gains as high as 100%).Extensive experiments on seven benchmark datasets show that this fix puts the performance of these methods at par with, or sometimes even better than, the current stateof-the-art OOD detection techniques.
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?

For any e-commerce service, persuasive, faithful, and informative product descriptions can attract shoppers and improve sales.While not all sellers are capable of providing such interesting descriptions, a language generation system can be a source of such descriptions at scale, and potentially assist sellers to improve their product descriptions.Most previous work has addressed this task based on statistical approaches (Wang et al., 2017), limited attributes such as titles (Chen et al., 2019;Chan et al., 2020), and focused on only one product type (Wang et al., 2017;Munigala et al., 2018;Hong et al., 2021).In this paper, we jointly train image features and 10 text attributes across 23 diverse product types, with two different target text types with different writing styles: bullet points and paragraph descriptions.Our findings suggest that multimodal training with modern pretrained language models can generate fluent and persuasive advertisements, but are less faithful and informative, especially out of domain.
Academic performance in geometry of 8th grade students with signs of “clip thinking”

The concept of “clip thinking” covers a whole range of features of cognitive activity and is often used in modern literature when speaking about training effectiveness. Many authors suggest that it is “clip thinking” that reduces training effectiveness and has a negative effect on school performance. At the same time, geometry for most students is the most difficult subject, and academic performance in this discipline has fallen over the past few years. The paper aims to study the relationship between “clip thinking” and academic performance in geometry. The hypothesis is that the performance in geometry among students with signs of “clip thinking” is lower compared to other students. To confirm this hypothesis, an experiment was carried out. To collect data, students of two 8th grade classes were asked to perform an assignment that involved finding information and applying it. The results obtained by the students were then analysed. To assess academic performance, average marks in geometry were calculated. Cluster analysis was used to identify two groups of students: those who show signs of “clip thinking” and those who do not. Then a comparative analysis was carried out between the groups. The results obtained confirmed the hypothesis—i. e., that progress in geometry among students with signs of “clip thinking” is slightly lower in comparison with students who manifest such signs to a lesser degree. The empirical results obtained add details to the understanding of the specifics of thinking processes in modern students. The study showed that “clip thinking” is quite common among modern students. Teachers are therefore advised to take this fact into account: include assignments aimed at students with “clip thinking,” pay more attention to the generalisation and systematisation of knowledge, use assignments that require logical problem solving, highlight cross-disciplinary links, demonstrate real-life applications of the discipline, etc.
Evolution of a Subject Heading: The Story Continues

In 2018, the author published a paper that describes the process by which catalogers at Program for Cooperative Cataloging (PCC) institutions create and propose new subject headings for inclusion in the Library of Congress Subject Heading (LCSH) controlled vocabulary. In a related vein, this paper describes the process of proposing a revision to an established subject heading via the Subject Authority Cooperative (SACO) Program’s Subject Heading Proposal System. Two separate proposals are presented: one to revise the authority record for the subject heading, Concentration camps [150] by removing the cross reference, Internment camps [450], from that authority record; the other proposal is to establish the cross reference as an authorized subject heading. The reasons for revising subject headings are explored, and a detailed review of the revision process using the SACO Proposal System is presented for the benefit of other catalogers seeking to make changes to subject headings they encounter in their own collections.
SPKP: A Web-based Application System for Managing Mental Health in Higher Institution

Client psychology profile is one of the methods used by UUM's Counselling Centre to analyze client psychological health conditions.This psychological profile is in a physical form which means the questions that need to be answered are on the paper.This psychology profile consists of three types of psychological modules whereby each module consists of questions related to psychology.The estimated time taken to answer this psychological profile is around 10 minutes.This physical form method may cause data to be lost and it will create issues when counselors want to retrieve the data back.This paper is aimed to develop Sistem Profil Kesejahteraan Psikologi (SPKP) for Counselling Centre of Universiti Utara Malaysia (UUM) in helping to know the client's psychological health before meeting up with the counselor.By focusing on analyzing Counselling Centre client's data, the basis of this web application system is to create a new space that will help Counselling Centre to improve the way they collect data, store data, and also improve their quality in time management whereby all those data can be collect, store, retrieve and analyze in a single click.By developing this system, Counselling Centre can monitor clients' psychological health before they meet up with the counselor.
Management of Electronic Word of Mouth Communication for Culinary Products on Instagram

Information on culinary products is currently easy to find on Instagram.Businessmen who are members of the Footy MSME community located in Bandung Regency in marketing culinary products do a marketing communication, namely e-WOM (Electronic word of mouth) on Instagram.Initially, term of 'word of mouth' communication was conveyed by mouth to mouth, but now the communication is done through electronic media, one of which is Instagram.This study aims to analyze the ability of businessssmen in compiling e-WOM messages, the ability to overcome obstacles in managing e-WOM messages and create relationships with consumers.This research method uses qualitative research methods with a case study approach.This study found that businessmen can compose e-WOM messages, overcome obstacles in managing e-WOM messages, and build relationships with consumers, so that consumers closely engange to the products being sold.
The Design of Comprehensive Scoring System of SCM Course via CIPP-CDIO

Under the background of the education reform in domestic universities, the effective evaluation of students' course process is a crucial problem.Utilizing the theory of fuzzy inference, a comprehensive scoring system of SCM is designed in this study.The students' course process can be properly evaluated by the system, which laid a solid foundation for the quality improvement of teaching further.
PENGEMBANGAN APLIKASI MOBILE LEARNING UNTUK MENINGKATKAN KEMANDIRIAN DAN PRESTASI BELAJAR PADA MATA KULIAH REKAYASA PERANGKAT LUNAK

This study aims to produce learning media, namely mobile learning applications that are suitable for use for software engineering courses for fifth semester students, determine the effect of mobile learning application learning media on student achievement in fifth semester, and determine the effect of mobile learning application learning media on student learning independence semester V. This research is an R &amp; D research with ADDIE design which consists of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. The developed application was tested on 26 students of the fifth semester of informatics engineering study program, Muhammadiyah University of Gresik. Data collection was carried out by giving validation sheets to material experts, media experts, course lecturers to assess the feasibility of the product as well as student response questionnaires to provide input for the developed product. Procurement of pretest and posttest to determine the increase in learning outcomes and filling out questionnaires by students, observations in class, and interviews to determine the increase in students' learning independence. The results showed that the product resulting from the development of the media was declared feasible based on the assessment of experts, lecturers and student response questionnaires in the good category, the developed learning media could improve the learning achievement of software engineering courses with a gain value of 0.6 or in the medium category, and The developed learning media can increase the learning independence of students with a gain value of 0.2 or in the low category.
Augmenting Convolution Neural Networks by Utilizing Attention Mechanism for Knowledge Tracing

The devastating, ongoing Covid-19 epidemic has led to many students resorting to online education. In order to better guarantee the quality, online education faces severe challenges. There is an important part of online education referred to as Knowledge Tracing (KT). The objective of KT is to estimate students’ learning performance using a series of questions. It has garnered widespread attention ever since it was proposed. Recently, an increasing number of research efforts have concentrated on deep learning (DL)-based KT attributing to the huge success over traditional Bayesian-based KT methods. Most existing DL-based KT methods utilize Recurrent Neural Network and its variants, i.e. Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) etc. Recurrent neural networks are good at modeling local features, but underperforms at long sequence modeling, so the attention mechanism is introduced to make up for this shortcoming. In this paper, we introduce a DL-based KT model referred to as Convolutional Attention Knowledge Tracing (CAKT) utilizing attention mechanism to augment Convolutional Neural Network (CNN) in order to enhance the ability of modeling longer range dependencies.
FOCUS: Frequency Based Detection of Covert Ultrasonic Signals

Today’s evolving and inventive attacks allow an adversary to embed tracking identifiers or malicious triggers in ultrasonic sound and covertly transmit them between devices without the users’ knowledge. An adversary can exploit an electronic device by manipulating the microphone, gyroscope or speaker using ultrasonic sound. Almost all types of electronic devices are vulnerable to this type of attack. Indeed, some preventive measures are in place to counter ultrasonic invasion. However, they are primitive and often are not capable of detecting the attacks. To this end, we propose FOCUS: Frequency based detection of Covert Ultrasonic Signals. In particular, FOCUS displays a low-end, low-cost ultrasonic detection mechanism that can be employed anywhere. We validate FOCUS through two proof-of-concept (PoC) implementations utilizing Raspberry Pi and Arduino based hardware modules, respectively. The results demonstrate that FOCUS can detect ultrasonic sound and alert users of possible ultrasonic invasion.
Machine Translation Systems for English Captions to Hindi Language Using Deep Learning

Machine Translation is the process of translating text from one language to another which helps to reduce the conversation gap among people from different cultural backgrounds. The task performed by the Machine Translation System is to automatically translate between pairs of different natural languages, where Neural Machine Translation System stands out from all because it provides fluent translation along with reasonable translation accuracy. The Convolution Neural Network encoder is used to find patterns in the images and encode it into a vector that is passed to the Long Short Term Memory decoder which finds the caption word-by-word to best describe the image. Upon reaching the end-line token, the entire description of the image in English is generated and that is our output for that particular image. Automatically creating the description of an image in English using any natural language sentences and then translating it using Neural Machine Translation to Hindi is a very challenging task. It requires expertise in both image processing as well as natural language processing. In this paper, the aim is to compare the two Machine Translation Systems: Google Translation System and the proposed Neural Machine Translation System to convert the text obtained from an image in English to Hindi language.
Portability of Interfaces in Healthcare EAI Environments

Enterprise Application Integration (EAI) and HL7 (Health Level Seven) messaging are well established technologies in healthcare environments. Due to the age and longevity of HL7 standards (especially HL7 V2.x) and their widespread use, many interfaces outlive the middleware on which they run and must be ported to new systems. This often requires the entire code of the interface to be rewritten, which is associated with great effort and costs. This paper shows a generic EAI framework based on configuration and dependency injection for implementing reusable interfaces upfront and the results when applied to a real production EAI environment of an Austrian healthcare provider.
Image encryption using improved Cubic map and Henon map

In this paper, constructing the improved chaotic map which multiplies the output value of the chaotic map by a large value, and subtracts its integer part. Simulation results show that the chaos range of the improved chaotic map is enlarged. The generated chaotic sequence has strong randomness. A double chaotic image encryption algorithm is proposed by combining the improved chaotic maps with the permutation and diffusion encryption structure. The algorithm can reduce the complexity while ensuring the encryption effect. The simulation results show that the encryption algorithm can resist statistical attack and has excellent robustness, and has a good development prospect in information security.
Digital Product Innovation Model for News Publishers

In order to stay competitive in high-pressure environments such as the news media industry, an agile and adaptive approach to product management is needed. We present a model of digital product innovation which allows news publishers to quickly determine the priority of innovations, whether radical or incremental. Careful observation of key performance indicators (KPI) and company resources, resulted in the categorization of key parameters included in the model: innovation type (4), impacted areas/KPIs (14), resources required (6), investment cost (3), who requested the development of the new feature (9), urgency (3), time of realization (9), risk (3) and platforms affected (8). The model was successfully applied in the case of Telegraf.rs, one of Serbia's leading internet news portals.
English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation

As high-quality Malay language resources are still a scarcity, cross lingual word embeddings make it possible for richer English resources to be leveraged for downstream Malay text classification tasks. This paper focuses on creating an English-Malay cross-lingual word embeddings using embedding alignment by exploiting existing language resources. We augmented the training bilingual lexicons using machine translation with the goal to improve the alignment precision of our cross-lingual word embeddings. We investigated the quality of the current state-of-the-art English-Malay bilingual lexicon and worked on improving its quality using Google Translate. We also examined the effect of Malay word coverage on the quality of cross-lingual word embeddings. Experimental results with a precision up till 28.17% show that the alignment precision of the cross-lingual word embeddings would inevitably degrade after 1-NN but a better seed lexicon and cleaner nearest neighbours can reduce the number of word pairs required to achieve satisfactory performance. As the English and Malay monolingual embeddings are pre-trained on informal language corpora, our proposed English-Malay embeddings alignment approach is also able to map non-standard Malay translations in the English nearest neighbours.
THE THEORETICAL EXPLANATION OF THE RESULTS OF ONE DEMONSTRATIVE EXPERIENCE USED IN PHYSICS/ՖԻԶԻԿԱՅՈՒՄ ՕԳՏԱԳՈՐԾՎՈՂ ՄԻ ՑՈՒՑԱԴՐԱԿԱՆ ՓՈՐՁԻ ԱՐԴՅՈՒՆՔՆԵՐԻ ՏԵՍԱԿԱՆ ԲԱՑԱՏՐՈՒԹՅԱՆ ՄԱՍԻՆ

The work is devoted to the theoretical analysis of one experiment used in physics. For a physics teacher, a methodological development of a specific demonstration experience is proposed, which, as an additional source of information, should contribute to the development of the cognitive interests of students, enrich their knowledge in the "Magnetism" section and ultimately increase the effectiveness of the lesson. The reasons for the experimentally observed phenomenon are clarified, and theoretical interpretations of the experimental results are given. The devices and tools used are described in detail. The physical parameters of the means used (for example, rings) were calculated, the main physical characteristics were evaluated. It is shown that the inductive reactance of the ring plays a key role in the considered phenomenon. It was revealed that only one position of the ring is in equilibrium./Աշխատանքը նվիրված է ֆիզիկայում օգտագործվող մի ցուցադրական փորձի տեսական վերլուծությանը: Ֆիզիկայի ուսուցչի համար առաջարկված է կոնկրետ ցուցադրական փորձի մեթոդական մշակում, ինչը, որպես տեղեկատվության լրացուցիչ աղբյուր, պետք է նպաստի աշակերտների ճանաչողական հետաքրքրությունների զարգացմանը, «Մագնիսականություն» բաժնի վերաբերյալ նրանց գիտելիքների հարստացմանը, վերջնարդյունքում՝ դասի արդյունավե-տության բարձրացմանը: Պարզաբանված է փորձի ժամանակ դիտված երևույթը ծնող պատճառները, տրված են փորձի արդյունքների տեսական մեկնաբանությունները: Մանրամասն նկարագրված են օգտագործվող սարքերն ու միջոցները: Կատարված են փորձում օգտագործվող միջոցների (օրինակ՝ օղակի) ֆիզիկական պարամետրերի հաշվարկ և հիմնական ֆիզիկական բնութագրերի գնահատում: Ցույց է տրված, որ քննարկվող երևույթի դիտման գործում առաջնակարգ դեր է խաղում օղակի ինդուկտիվ դիմադրությունը: Բացահայտված է օղակի միայն մեկ դիրքում հավասարակշռության մեջ գտնվելու փաստը:
Torus Mechanics -1

First, I explain the meaning of headline. The term “Torus” came from the book “The Shape of Space “ written by Jeffrey R.Weeks . Torus is a n dimensional Glued Surface. And the term relativity we all are familiar with this basically when we talk Einstein Relativity . So, this paper on Rusho’s general Torus relativity emphasizes the relative occurrence and relative answers of every physical phenomenon . Like for. BIG world or professionally MACROSCOPIC WORLD Newtons Mechanics is replaced by Lagrangian mechanics and lagrangian mechanics is replaced by hamiltonian mechanics. Again this rules also break down and came Einstein theory of relativity, Quantum mechanics for microscopic world . This is also a mechanics or we can called it let say “Torus Mechanics” So what is it’s speciality. We will represent here 3 observation. We will do here some critical thinking also. In first observation , we will evaluate the torus nature of light and shape of space i.e the space is closed and expanding or open and expanding . And in our second observation, we will proof newtons famous Third law ie. Every action has an equal and opposite reaction. And our third observation we will evaluate and proof another famous concept The conservation law in physics !! So lets began.
FEATURES OF METHODOLOGY RESEARCH, RESULT WHAT WAS THE RATIONALE? PHYSICAL EDUCATION OF PERSONALITY

AnnotationIntroduction.It has been 30 years since the author of the article introduced the concept of "non-professional physical education", which significantly changed both the content of research and the practice of physical education in higher education in some countries, formed in the post-Soviet space.Purpose: to reveal the features of the research methodology, the result of which was the substantiation of the concept of physical education of a person.Research methods: analysis of literature sources and regulations, logical-historical analysis, method of discussions, analysis and synthesis, induction and deduction, systematic elaboration of basic concepts (analysis, reconstruction, synthesis), logical methods.Results.It is shown that the new knowledge required for the development of new concepts and provisions of the theory of physical education could be obtained only with the involvement of the provisions of modern methodology.The difference between theoretical works is that the very structure of research allows you to reasonably transfer the knowledge gained under certain conditions and on the same objects to objects that are in other conditions, including the level of practice.Conclusions.The presented information reveals the methodology of theoretical research as a result of which the concept of physical education of the person was formed.
Using Interactive Digital Books to Analyze Students‘ Reading Literacy Skills

This study aims to analyze the reading skills of Students by using interactive books.The subjects of this study were students at the elementary school teacher education study program in state university of Medan who took the basic concepts of physics and chemistry as many as 40 people.The subjects were taken with cluster random sampling.This study uses a qualitative descriptive method to analyze students' reading skills.The results of the analysis of the use of interactive digital books on the basic concepts of physics and chemistry lectures on students' reading skills showed significant.The development viewed from the aspect of literacy reading skills for the category of students from PISA defining reading literacy as: understanding, using, reflecting on, and engaging with writing.