Reviewerly/exHarmony huggingface dataset:
Pendidikan Pengurangan Risiko Bencana Pada Anak Penyandang Disabilitas Untuk Mengurangi Kerentanan Bencana Di Sekolah: Systematic Review

This research focuses on disaster risk reduction which is specially designed for students with disabilities in both inclusive schools and special schools (SLB). The following research has several research objectives such as: (1) analyze the role of schools in increasing the level of preparedness of students with disabilities in schools. (2) Identifying challenges faced by inclusive schools or special schools in increasing disaster understanding of students with disabilities. (3) Interpreting the strategies implemented by schools in increasing disaster understanding for students with disabilities. Researchers in conducting the research used qualitative methods with a research design in the form of narrative analysis. The results of the study explained that the role of schools in relation to DRR efforts can be carried out through DRR education for students with disabilities and providing good services for people with disabilities. The challenges faced by several schools also vary. These challenges, in the form of the various limitations of persons with disabilities, make schools have to create a special strategy to meet their needs, some schools do not have a curriculum on disaster, and the lack of facilities provided by some schools to support DRR programs for students with disabilities. The school's strategy to make DRR efforts for people with disabilities can be done through education about disasters which is translated into the learning process and into learning media. The third strategy for schools is to conduct an assessment of the regulatory framework with the aim of aligning disaster risk reduction programs in schools with existing regulations. Based on the results statement above, to improve disaster risk reduction programs, both in inclusive schools and special schools, the roles of various parties are required, such as listing stakeholders in the implementation of the DRR program.
Non-iterative Modal Logics are Coalgebraic

A modal logic is \emph{non-iterative} if it can be defined by axioms that do not nest modal operators, and \emph{rank-1} if additionally all propositional variables in axioms are in scope of a modal operator. It is known that every syntactically defined rank-1 modal logic can be equipped with a canonical coalgebraic semantics, ensuring soundness and strong completeness. In the present work, we extend this result to non-iterative modal logics, showing that every non-iterative modal logic can be equipped with a canonical coalgebraic semantics defined in terms of a copointed functor, again ensuring soundness and strong completeness via a canonical model construction. Like in the rank-1 case, the canonical coalgebraic semantics is equivalent to a neighbourhood semantics with suitable frame conditions, so the known strong completeness of non-iterative modal logics over neighbourhood semantics is implied. As an illustration of these results, we discuss deontic logics with factual detachment, which is captured by axioms that are non-iterative but not rank~1.
Smart voting web based application using face recognition, Aadhar and OTP verification

There are currently two ways to vote in India. They are secret ballots and electronic vote machines, but these two processes have some limitations or disadvantages. The current system is also insecure. Many people miss the opportunity to vote simply because they need to go to the polling station and wait for several places to vote. In this paper, we proposed a voting method. In our method, the voting process has three security stages. The first stage is facial recognition, the second stage is Election ID (EID) number verification, and the third stage is One-Time-Password (OTP) verification using the user's mobile phone number registered.
Expression Analysis System

Expression is the most basic personality trait of an individual. Expressions, ubiquitous to humans from all cultures, can be pivotal in analyzing the personality which is not confined to boundaries. Analyzing the changes in the expression of the individual can bolster the process of deriving his/her personality traits underscoring the paramount reactions like anger, happiness, sadness and so on. This paper aims to exercise Neural Network algorithms to predict the personality traits of an individual from his/her facial expressions. In this paper, a methodology to analyze the personality traits of the individual by periodic monitoring of the changes in facial expressions is presented. The proposed system is intended to analyze the expressions by exploiting Neural Networks strategies to first analyze the facial expressions of the individual by constantly monitoring an individual under observation. This monitoring is done with the help of OpenCV which captures the facial expression at an interval of 15 secs. Thousands of images per expression are used to train the model to aptly distinguish between expression using prominent Neural Network Methodologies of Forward and Backward Propagation. The identified expression is then be fed to a derivative system which plots a graph highlighting the changes in the expression. The graph acts as the crux of the proposed system. The project is important from the perspective of serving as an alternative to manual monitoring which are prone to errors and subjective in nature.
Farewell Print Textbook Reserves: A COVID-19 Change to Embrace

Changes since March 2020 have clearly revealed the coming shift from print textbook reserves to digital learning materials that all students can equitably afford to access.
IMPROVING DESCRIPTIVE WRITING ABILITY OF THE FIRST YEAR STUDENTS OF SMA TOHA PRAKTIKA GILIGENTING-SUMENEP BY USING PICTURES

&#x0D; In Indonesia English is a foreign language, not a second language. As a result, it is very difficult for the students to write a paragraph in English because writing is a complex process that allow writers to explore thoughts and ideas, and make them visible and concrete. The indonesian students’ achievement in writing descriptive paragraph is very low due to several reasons. Firstly, the Indonesian community does not support the existence of the English situation&#x0D; Based on the fact, the researcher focuses this thesis on the problem of improving descriptive writing ability of the first year students of SMA Toha Praktika Giligenting Sumenep by using pictures. The research problem is How can the use of pictures improve the students’ability in writing a descriptive paragraph at SMA Toha Praktika?. The researcher thought that if the students can develop their imagination by the pictures, they will be able to create descriptive paragraphs that are meaningful.&#x0D; To answer the research problem, this research use the classroom action research at SMA Toha Praktika on the first year students academic year 2010/2011 who have difficulties in writing descriptive paragraph. Exercises was done to know how high the students’ ability in writing descriptive paragraph. the data collection involved instruments, namely writing observation, composition test and questionnaires. The composition test was to measure the students’ ability in writing descriptive and questionnaires was to know the students’ opinion about the implementation of pictures. All of the data were analyzed and compared with the criteria of success that the minimun score of the students was 60 and there was 60% or 17 students mastered the material and can made descriptive paragraph.
Is Kenya ready to Leverage Blockchain Technology in Horticulture Traceability

The Blockchain technology (BCT) can offer traceability in the food supply chain thus guaranteeing food safety, efficient transactions and reduced food frauds. This study sought to investigate the existing traceability systems in Kenya’s domestic horticultural supply chain in order to assess the level of stakeholders’ readiness to leverage the huge prospects BCT offers.The Network Readiness Index (NRI), an assessment tool widely used by World Economic Forum to rank how countries are doing in the digital world, was used to survey the usage of traceability systems in the horticulture industry.low acceptance of BCT in Kenya’s horticultural sector are lack of regulatory and policy framework, deficiency of knowledge, and inadequate collaboration among actors.
Data Citation Detectives: The Role of a Bibliographer for a Social Science Data Archive

Presented as a lightning talk at the virtual Midwest Data Librarian Symposium on October 15, 2020.
Exploring structure dependencies of gas-surface interactions with curved single crystals

Curved single crystals provide variable, but well-defined surface structures. These curved surfaces have enormous potential for applications in surface chemistry, e.g. to unravel the role of specific sites in the reaction mechanism. Measurements can be repeated on the same crystal with incremental changes of the surface structure. Because effectsof sample heterogeneity are avoided, curved crystals make it possible to detect even subtle differences in surface reactivities and assign them to specific surface sites. They were used throughout this thesis to study the effects of surface structure onelemental chemical reaction steps, such as hydrogen dissociation and recombination, or water desorption.
LibGuides: Public Libraries of CT, NJ & NY: Suffolk Cooperative Library System

The Tri-State Region is home to the States of NY, NJ and CT. For patrons outside of NYC you are eligible to get a library card from your local public library.
Utveckling av hjälpmedel till palleteringsprocess

This thesis is aimed at improving a palletizing process. At present, the packaged cartons are loaded on pallets by hand and with a forklift as lifting aid. The process include several dangers for t ...
Forming a methodology for developing students' creativity using creative methods in teaching chemistry to future chemistry teachers

This article is devoted to the development of students 'creativity in the study of chemistry, analysis of chemical and methodological literature, methods of using creativity in the educational process, the use of creative psychological and pedagogical technologies in teaching chemistry, increasing the creativity of students' thinking opinions and comments on the formation of their communication scills and competencies
Lower Bounds for Off-Chain Protocols: Exploring the Limits of Plasma

Blockchain is a disruptive new technology introduced around a decade ago. It can be viewed as a method for recording timestamped transactions in a public database. Most of blockchain protocols do not scale well, i.e., they cannot process quickly large amounts of transactions. A natural idea to deal with this problem is to use the blockchain only as a timestamping service, i.e., to hash several transactions tx_1,…,tx_m into one short string, and just put this string on the blockchain, while at the same time posting the hashed transactions tx_1,…,tx_m to some public place on the Internet (off-chain). In this way the transactions tx_i remain timestamped, but the amount of data put on the blockchain is greatly reduced. This idea was introduced in 2017 under the name Plasma by Poon and Buterin. Shortly after this proposal, several variants of Plasma have been proposed. They are typically built on top of the Ethereum blockchain, as they strongly rely on so-called smart contracts (in order to resolve disputes between the users if some of them start cheating). Plasmas are an example of so-called off-chain protocols.In this work we initiate the study of the inherent limitations of Plasma protocols. More concretely, we show that in every Plasma system the adversary can either (a) force the honest parties to communicate a lot with the blockchain, even though they did not intend to (this is traditionally called mass exit); or (b) an honest party that wants to leave the system needs to quickly communicate large amounts of data to the blockchain. What makes these attacks particularly hard to handle in real life is that these attacks do not have so-called uniquely attributable faults, i.e. the smart contract cannot determine which party is malicious, and hence cannot force it to pay the fees for the blockchain interaction. An important implication of our result is that the benefits of two of the most prominent Plasma types, called Plasma Cash and Fungible Plasma, cannot be achieved simultaneously.Besides of the direct implications on real-life cryptocurrency research, we believe that this work may open up a new line of theoretical research, as, up to our knowledge, this is the first work that provides an impossibility result in the area of off-chain protocols.
LibGuides: Faculty Resources: eReserve Media / Electronic Reserves

Welcome faculty! This guide serves as a reference to our resources and services. We hope you'll find this guide a useful tool for your research and teaching needs.
Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks

Infinite width limits of deep neural networks often have tractable forms. They have been used to analyse the behaviour of finite networks, as well as being useful methods in their own right. When investigating infinitely wide convolutional neural networks (CNNs), it was observed that the correlations arising from spatial weight sharing disappear in the infinite limit. This is undesirable, as spatial correlation is the main motivation behind CNNs. We show that the loss of this property is not a consequence of the infinite limit, but rather of choosing an independent weight prior. Correlating the weights maintains the correlations in the activations. Varying the amount of correlation interpolates between independent-weight limits and mean-pooling. Empirical evaluation of the infinitely wide network shows that optimal performance is achieved between the extremes, indicating that correlations can be useful.
성인학습이론의 범주와 향후 연구과제

This study aims to categorise adult learning theories and to suggest future research agendas. This paper proposed eight categories of adult learning theories. They were instrumental learning theories, humanistic theories, transformative learning theory, social theories of learning, motivational models, reflective models, constructivism, and postmodernism & post-structuralism. In doing this, three trends in the existing adult learning theories were identified: Firstly, the main approach of the existing adult learning theories has moved from psychology to sociology; Secondlly, most of the existing adult learning theories were developed by foreign scholars; Thirdly, adult learning theories primarily took humanistic and constructive viewpoints. The future research agendas suggested in this article are as follows: More interdisciplinary approaches are required for the development of adult learning theories; We need more robust research methodology and analytical tools to explore the underlying mechanisms and processes of adult learning phenomena. For this, more empirical studies on emergent social relationships and adult learning processes are to be conducted; Last but not least, the issues of ontology and epistemology are to be discussed in adult learning theories.
Posicionamiento de la visibilidad académica para una inclusión digital de calidad

The purpose of this article is to promote educational inclusion and to achieve a positioning that makesvisible the actions involved in this academic process. It has as a reference a project aimed at familiesof students with SEN during their schooling, this need arises due to the difficulties that parents haveto cope with the academic performance of children and adolescents. Technology in the educationalcontext is the new trend in the process of teaching and learning in students, the media and digitaleducation are the tools now to promote educational inclusion in the Ecuadorian context. It is intendedwith the implementation of the activities immersed within the programs covered by the project, toreach homes, regionally, nationally and internationally on the management carried out in the chosenpopulation, which are children with SEN. This study corresponds to a mixed research design, becausebibliographic information will be collected from scientific articles from reliable sources on the web andwill be analyzed in the Atlas ti v9 program, and also a respective information gathering through thedevelopment of a survey aimed to know about the effectiveness of the implementation of digitalmechanisms, these data were processed in the SPSS v25 program. The results obtained indicate aclear interest of students in the virtual environment, in addition to making use of the various tools thatcan be provided to improve learning conditions.
PENINGKATAN KEMAMPUAN MENULIS PARAGRAF DESKRIPSI RAGAM KRAMA MELALUI METODE PEMODELAN DAN MEDIA GAMBAR TEMATIK PADA SISWA KELAS X IIS 2 SMA

The objectives of this research are to increase the quality of learning process in writing paragraph description diversion of krama and students’ paragraph description diversion of krama writing skill result through implementing modeling method and tematical images to X Social Science 2 students of SMA Negeri 3 Boyolali. This research is a classroom action research (CAR) with 2 cycles. Each cycle contains of 4 stages, namely; action plan, conduct action, observation and interpretation, and also analysis and reflection. Subject of this research are the students of X Social Science 2 of SMA N 3 Boyolali which contains of 36 students. The data collection techiques are observation, interview, and test. Validity data test use triangulation method and triangulation data souce. Data analysis techniques are descriptiv comparative and critical analysis. The result of this research indicate that the implementation of make a match model and macromedia unity can increase the quality of  learning process in writing paragraph description  and students’ paragraph description  writing skill result to X Social Science 2 students of SMA N 3 Boyolali. The result can be proven since preaction until cycle 2 in preaction, the average of learning qualiti is about 71. Then in cycle I learning quality becomes 75, and in the end of cycle II it increase becomes 80 or in other words it is a good category. Quality of students writing wangsalan skill also indicate an improve ment, in preaction students who get minimum standard score is about 44,44%, then in cycle I it becomes 77,78% and in the end of cycle 2 becomes 89%.
School principals apply total quality management in the al-Batinah north governorate in the Sultanate of Oman and its impact on teacher performance = تطبيق مديري المدارس لإدارة الجودة الشاملة في محافظة شمال الباطنة بسلطنة عمان وأثرها على أداء المعلمين

This study aimed to find out the application of school principals for total quality management in the North Al Batinah Governorate and its impact on the performance of teachers. The study population )consisted of 10390 teachers, and the study sample was chosen( )from 450 teachers from the schools in the North Al Batinah( Governorate, in a randomized probabilistic way, The study adopted the quantitative approach, using the Smart PLS program, through confirmatory factor analysis and path analysis, and used a developed tool for measurement, according to the study goals and reached the following results, that the application of school management to total quality management, a positive impact on the performance of teachers, has been presented a number of Recommendations based on the results of the study.*******************************************************************************هدفت هذه الدراسة لمعرفة تطبيق مديري المدارس لإدارة الجودة الشاملة في محافظة شمال الباطنة واثرها في على أداء المعلمين، وتكون مجتمع الدراسة من (10390) معلما ومعلمة، واختيرت عينة الدراسة من (450) معلم ومعلمة، من مدارس محافظة شمال الباطنة، بالطريقة الاحتمالية العشوائية، واعتمدت الدراسة المنهج الكمي، باستخدام برنامج، من خلال التحليل العاملي التوكيدي، وتحليل المسار، واستخدمت أداة مطورة للقياس، وفقا لأهداف الدراسة وتوصلت للنتائج الآتية، أن لتطبيق الإدارة المدرسية لإدارة الجودة الشاملة، تأثير إجابي على أداء المعلمين، وقد تم تقديم عدد من التوصيات بناء على نتائج الدراسة .
Deep Active Shape Model for Face Alignment and Pose Estimation in Mobile Environment.

Active Shape Model (ASM) is a statistical model of object shapes that represents a target structure. ASM can guide machine learning algorithms to fit a set of points representing an object (e.g., face) onto an image. This paper presents a lightweight Convolutional Neural Network (CNN) architecture with a loss function being assisted by ASM for face alignment and estimating head pose in the wild. We use ASM to first guide the network towards learning the smoother distribution of the facial landmark points. Then, during the training process, inspired by the transfer learning, we gradually harden the regression problem and lead the network towards learning the original landmark points distribution. We define multi-tasks in our loss function that are responsible for detecting facial landmark points, as well as estimating face pose. Learning multiple correlated tasks simultaneously builds synergy and improves the performance of individual tasks. We compare the performance of our proposed CNN, ASMNet with MobileNetV2 (which is about 2 times bigger ASMNet) in both face alignment and pose estimation tasks. Experimental results on challenging datasets show that by using the proposed ASM assisted loss function, ASMNet performance is comparable with MobileNetV2 in face alignment task. Besides, for face pose estimation, ASMNet performs much better than MobileNetV2. Moreover, overall ASMNet achieves an acceptable performance for facial landmark points detection and pose estimation while having a significantly smaller number of parameters and floating-point operations comparing to many CNN-based proposed models.
Effectiveness of Exhibits Fixed by Nylon Gut in the Museum for Seismic Disaster Mitigation

In order to investigate the effects of exhibits fixed by nylon gut in the museum on seismic ground motion, strength test on nylon gut and excitation experiment of specimen fixed with nylon gut have been performed. In case of weak tension on the nylon gut, since the nylon gut has been extended by the load, the specimen fixed with nylon gut was generated a rocking vibration, and sometime the bottom of specimen was slide. Finally, it has been overturned by shaking. However, in case of strong tension, although the weak rocking vibration was generated, it has not been overturned. The tension on the nylon gut is one of important factor.
Playing the Blame Game with Robots

Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm. In this paper, we explore the moral-psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people’s willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system’s user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived “cognitive” capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system.