Reviewerly/exHarmony huggingface dataset:
Construction of College Students’ Physics Innovative Design Competition Base

This paper mainly discusses the construction of the base of college students’ physics innovative design competition from three aspects: first, the basic situation and construction conditions; second, the base construction planning and construction content; third, the projects that the base can provide.
Building an Academic Atmosphere in Approaches and Methods in English Language Teaching (AMELT) Classes by Implementing the Lesson Study Method

This study aims to develop new teaching materials to meet the need for achieving mastery of the basic theories of teaching English to speakers of other languages and for encouraging student-teacher awareness in English as a foreign language (EFL) classes. This five-step study is primarily aimed at developing the teaching materials of the Approaches and Methods in English Language Teaching (AMELT) subject matter. In developing the teaching materials, approaches, methods, strategies, and English teaching techniques are considered. To achieve this, the lesson study (LS) method is applied at the exploration and model development stages of the study. Sources of data are the focus group’s observations and discussions on the preparation of learning materials and teaching practices. The observations and observer notes are compiled to generate reflective reports about the Approaches and Methods in English Language Teaching (AMELT) lessons taught by the teaching students in the English Education Department of Muria Kudus University in Central Java, Indonesia. These findings are demonstrated by applying design-specific instructional goals, engaging in disciplinary commitment, and encouraging professional action and behavior. It shows the pedagogical impact of the study, in which several points of attention have been given to building a good academic atmosphere during the teaching and learning processes. Keywords : lesson study, academic atmosphere, language teaching, English language.
Exploratory Research on Simulation Hypothesis and the research method analysis

The principle of simulation hypothesis and test process interpretation is investigated in this article. The findings indicate that the simulation hypothesis is the belief that everything is a digital simulation. This scientific theory is the systematic technique that must be followed for any appropriate scientific endeavors [1]. The relationship between philosophy in the context of the hypothesis and quantitative experimental research is continually established with this approach. The scientific method has evolved to include a modern phase that includes the use of computer simulations and simulation experiments [1]. Computer models may be used in modeling experiments to assess theories until they are tested experimentally as they are integrated into hypothesis formulation. An iterative input between these experiments and existing theories makes it possible to improve the hypothesis preliminarily and create smarter research protocols. Technological advancements would eventually lead to the creation of automated human superintelligence, which will in turn lead to the creation of simulations that can help us truly comprehend the world. This lends credence to the notion that superintelligence currently exists and has produced simulations that humans already occupy. The idea that life is pure simulation may seem absurd at first glance, but it is based on decades of experimental study and is supported by scholars, scientists, and entrepreneurs such as Stephen Hawking and Elon Musk
Kematian Akibat Luka Tembak Sangat Dekat

At present victims of violent gunshot wounds are very often found because more and more members of civil society have firearms, both for self defense, and for other purposes.In principle, the examination of victims of gunshot wounds, the same as examining wounds for other trauma, but there is one specific, namely, doctors must know and understand about firearms, ammunition and bullets (1) .In gunshot wounds there are several types of injuries, including,ngunshot wounds in and out gunshot wounds.Incoming gunshot wounds can be divided into: contact wound, contact wound very close (close wound), close wound (near wound), and gunshot woundfar (distant wound) (1,2) .This case report aims to determine the cause of death of the victim found through forensic and histopathological examination, whether the victim died purely because of a gunshot wound suffered by the victim or other motives.The case that occurred in Serdang, a woman aged 45 years, the victim was found dead at his home.On examination the outside and inside found the wound gunshot entrance on the cheek next to the right to penetrate the cavity mouth, tearing vessels blood large right neck, penetrate the right lungs of passage above, penetrate five and six ribs bone rear right, the projectile is an a layer of right back muscle, encountered entrance gunshot wound on the right neck, pierce the skin of the right neck ( shoot out wound) and found the blisters wound on the right neck to the bottom left jaw ( child bullet track).The cause of death of the victim was
Darknet Data Mining -- A Canadian Cyber-crime Perspective

Exploring the darknet can be a daunting task; this paper explores the application of data mining the darknet within a Canadian cybercrime perspective. Measuring activity through marketplace analysis and vendor attribution has proven difficult in the past. Observing different aspects of the darknet and implementing methods of monitoring and collecting data in the hopes of connecting contributions to the darknet marketplaces to and from Canada. The significant findings include a small Canadian presence, measured the product categories, and attribution of one cross-marketplace vendor through data visualization. The results were made possible through a multi-stage processing pipeline, including data crawling, scraping, and parsing. The primary future works include enhancing the pipeline to include other media, such as web forums, chatrooms, and emails. Applying machine learning models like natural language processing or sentiment analysis could prove beneficial during investigations.
Recognition of Handwritten Currency Symbols using Fuzzy Inference System

In recent years, soft computing techniques have played an important role in the field of Handwritten Recognition. These techniques have been applied by different researchers to recognize handwritten scripts, alphabets, characters and so on. But no system has been proposed for the recognition of handwritten currency symbols. In this study, an automated intelligent system has been presented to recognize the handwritten currency symbols efficiently using Fuzzy Inference System (FIS). The experimental study has been conducted on the real dataset of the handwritten currency symbols of five topmost Asian richest countries. FIS has been implemented with subtractive clustering (SC) and fuzzy c-means (FCM) methods. The experimental result predicted that FIS with Subtractive Clustering achieved accuracy of 96.4% whereas FCM based FIS predicted 84% accuracy; hence SC-FIS outperformed FCM-FIS.
The Impact of Customer Management Models, Organizational Readiness, and Personal Capabilities on Non-financial Performance of Computer Technology Companies in Dubai

Organizational performance is an essential element for the success of any economy around the globe and has attained the focus of recent studies and regulators. Thus, the current study investigates the impact of the customer management model, organizational readiness, and personal capabilities on the non-financial performance of computer technology companies in Dubai. This study has followed the quantitative method and used the questionnaires to collect the data from the respondents and also used the smart-PLS to examine the relationships among the variables. The results indicated that the customer management model, organizational readiness, and personal capabilities have a positive and significant association with the non-financial performance of computer technology companies in Dubai. This study is meaningful for the new studies who want to investigate this area in the future and also guided to the regulators who want to develop the regulations regarding the non-financial performance of the organization.
AUTOMATIC CONCEPT MAP GENERATION AND SUMMARIZATION FROM TEXT

There is an enormous amount of textual information on the web and it is growing every single day. It is present in the form of web pages, blogs, articles, etc. and it needs to be structured so that it is easy for someone to get the context and the gist of the overall data in a concise form. It is a tedious task for humans to arrange the data manually and it also requires rigorous analysis of data. For that purpose, the data needs to be summarized. Nowadays, due to advancing technologies, understanding and interpreting concepts has become easier due to the visual representation of data. Concept maps are one of the ways to visually structure and represent data. Concept maps allow the users to group related information so that generation of a concept map becomes easier. This study proposes the method of a machine learning model for summarization and concept map generation without using the existing tools that are already present on the web. Various steps are performed to achieve the final output that is data summarization and concept map generation.
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs

High Bandwidth Memory (HBM) provides massive aggregated memory bandwidth by exposing multiple memory channels to the processing units. To achieve high performance, an accelerator built on top of an FPGA configured with HBM (i.e., FPGA-HBM platform) needs to scale its performance according to the available memory channels. In this paper, we propose an accelerator for BFS (Breadth-First Search) algorithm, named as ScalaBFS, that builds multiple processing elements to sufficiently exploit the high bandwidth of HBM to improve efficiency. We implement the prototype system of ScalaBFS and conduct BFS in both real-world and synthetic scale-free graphs on Xilinx Alveo U280 FPGA card real hardware. The experimental results show that ScalaBFS scales its performance almost linearly according to the available memory pseudo channels (PCs) from the HBM2 subsystem of U280. By fully using the 32 PCs and building 64 processing elements (PEs) on U280, ScalaBFS achieves a performance up to 19.7 GTEPS (Giga Traversed Edges Per Second). When conducting BFS in sparse real-world graphs, ScalaBFS achieves equivalent GTEPS to Gunrock running on the state-of-art Nvidia V100 GPU that features 64-PC HBM2 (twice memory bandwidth than U280).
Impact of a Social Network of Government Dependencies on the Dissemination of Motor Actions during Confinement

The new reality in the world, caused by the COVID-19 (SARS-CoV-2) pandemic, has led the daily activities that we knew to a virtual adaptation, physical activity and physical exercise have been mainly one of them throughout the world and in our social contexts. The aim of this study is to carry out an analysis of the virtual strategies that were carried out to carry out exercise, sports, actions, activity and physical education at home, undertaken by some municipalities of Veracruz State, as well as sports institutes of the State of Colima and Nuevo Leon. The data collected was made through the Facebook (R) social network, counting the number of actions or strategies undertaken, expressions, shared and reproductions in the case of video graphics material. Among the results found, the main actions include physical exercise with music, as well as guidelines on physical exercise with materials and objects from your home (indoors). The conclusion is clear of the effort of the municipal and state authorities to keep society physically active and impact the health of the body with the benefit of physical activity and sport.
Measure the degree of availability of the learning organization’s dimensions and their applications at Fakeeh College for Medical Sciences: قياس درجة توفر أبعاد المنظمة المتعلمة وتطبيقاتها في كلية فقيه للعلوم الطبية

The study aimed to measure the degree of availability of the learning organization’s dimensions and their applications in Fakeeh College for Medical Sciences, by identifying the degree of availability of the learning organization’s dimensions, identifying the areas of application of the concept of the organization, and identifying the obstacles to implementing the concept of the learning organization at Fakih College of Medical Sciences from the respondents ’viewpoint. and to achieve this goal the researcher used the descriptive-analytical approach. She prepared a questionnaire and was distributed to a randomly selected sample, consisting of (100) administrators and faculty members, in the College Fakih for Medical Sciences, and the arithmetic averages and standard deviations were used, and the study concluded with a set of results, the most important of which are: There are three dimensions for the learning organization at Fakeeh College for Medical Sciences from the point of view of its employees to a large degree, namely (level of learning, empowerment of workers, level of technology application). While there are two dimensions for the learning organization in the Fakeeh College for Medical Sciences with a medium degree, they are (the organization's environment, the level of knowledge management). The study recommended that learning be taken care of at all levels and including it within the training programs to acquire its various skills, and to establish an effective methodology for knowledge management that includes knowledge activities such as (finding and acquiring and storage, transfer, retrieval and application of knowledge), and work to increase the cognitive skills of workers, through communication with various Saudi academic organizations Develop their cognitive abilities.
On the Ideological Management of Sailors

This paper elaborates the ideological issues confronted by the crew in our country under the circumstances of sailing missions.It also analyses the current situation they are faced with from three perspectives: laws and regulations, personnel structure, and ideology, and proposes some coping management tactics based on the analysis.These tactics can be applied to release crew's negative psychological emotion in time, and help them maintain a high morale all the time, so that the ideological management of the crew can be promoted in the sailing mission situations.
Fuzzy Left Almost Semihyperring

The left almost semihyperring (LA) is an algebraic hyperstructure satisfying two axioms, these are the left inverse hyperoperation and the distributive axiom between multiplication and addition hyperoperation.In this article, the concept of fuzzy sets is applied to these structures so that we get a new algebraic structure, and it is called fuzzy left almost semihyperring.We show that the set of all fuzzy subsets in LA-semihyperring is also LA-semihyperring.Furthermore, the LA-subsemihyperring and hyperideal fuzzy properties and their relationship to the characteristic function and level set are analyzed.
Peningkatan Minat Belajar Siswa Melalui Pembelajaran E-Learning Via Whatsapp Di Kelas X MIPA Madrasah Aliyah Hasanah Pekanbaru

This research is based on the low interest in student learning towards teaching and learning activities through online. Because there is a limited knowledge of students who are not sensitive to technology and information, some students complain because of the difficulty in accessing this online learning. Even so, there are several learning applications that are free, but because of the low interest in students learning about learning applications and because of a lack of understanding of how to use them, here the researchers conducted student observations of online learning via WhatsApp. The purpose of this study was to determine how much influence the increase in online learning via WhatsApp on student interest in learning. This research is a collaborative classroom action research between the researcher, the teacher as the subject giving action and the students as the recipient of the action. This research was conducted at MA Hasannah in class X MIPA, with 13 students. The data collection method used by researchers is in the form of filling out a questionnaire using google form, while the research instrument is the questions that are presented on the questionnaire filling sheet on the google form. In this study it can be concluded that there is low student interest in online learning so that it affects student learning outcomes, so the solution is to use the WhatsApp application in online learning.
Alternating Fixpoint Operator for Hybrid MKNF Knowledge Bases as an Approximator of AFT

Approximation fixpoint theory (AFT) provides an algebraic framework for the study of fixpoints of operators on bilattices and has found its applications in characterizing semantics for various classes of logic programs and nonmonotonic languages. In this paper, we show one more application of this kind: the alternating fixpoint operator by Knorr et al. for the study of the well-founded semantics for hybrid MKNF knowledge bases is in fact an approximator of AFT in disguise, which, thanks to the power of abstraction of AFT, characterizes not only the well-founded semantics but also two-valued as well as three-valued semantics for hybrid MKNF knowledge bases. Furthermore, we show an improved approximator for these knowledge bases, of which the least stable fixpoint is information richer than the one formulated from Knorr et al.'s construction. This leads to an improved computation for the well-founded semantics. This work is built on an extension of AFT that supports consistent as well as inconsistent pairs in the induced product bilattice, to deal with inconsistencies that arise in the context of hybrid MKNF knowledge bases. This part of the work can be considered generalizing the original AFT from symmetric approximators to arbitrary approximators.
GraphSAT -- a decision problem connecting satisfiability and graph theory

Satisfiability of boolean formulae (SAT) has been a topic of research in logic and computer science for a long time. In this paper we are interested in understanding the structure of satisfiable and unsatisfiable sentences. In previous work we initiated a new approach to SAT by formulating a mapping from propositional logic sentences to graphs, allowing us to find structural obstructions to 2SAT (clauses with exactly 2 literals) in terms of graphs. Here we generalize these ideas to multi-hypergraphs in which the edges can have more than 2 vertices and can have multiplicity. This is needed for understanding the structure of SAT for sentences made of clauses with 3 or more literals (3SAT), which is a building block of NP-completeness theory. We introduce a decision problem that we call GraphSAT, as a first step towards a structural view of SAT. Each propositional logic sentence can be mapped to a multi-hypergraph by associating each variable with a vertex (ignoring the negations) and each clause with a hyperedge. Such a graph then becomes a representative of a collection of possible sentences and we can then formulate the notion of satisfiability of such a graph. With this coarse representation of classes of sentences one can then investigate structural obstructions to SAT. To make the problem tractable, we prove a local graph rewriting theorem which allows us to simplify the neighborhood of a vertex without knowing the rest of the graph. We use this to deduce several reduction rules, allowing us to modify a graph without changing its satisfiability status which can then be used in a program to simplify graphs. We study a subclass of 3SAT by examining sentences living on triangulations of surfaces and show that for any compact surface there exists a triangulation that can support unsatisfiable sentences, giving specific examples of such triangulations for various surfaces.
The statistical advantage of automatic NLG metrics at the system level

Estimating the expected output quality of generation systems is central to NLG. This paper qualifies the notion that automatic metrics are not as good as humans in estimating system-level quality. Statistically, humans are unbiased, high variance estimators, while metrics are biased, low variance estimators. We compare these estimators by their error in pairwise prediction (which generation system is better?) using the bootstrap. Measuring this error is complicated: predictions are evaluated against noisy, human predicted labels instead of the ground truth, and metric predictions fluctuate based on the test sets they were calculated on. By applying a bias-variance-noise decomposition, we adjust this error to a noise-free, infinite test set setting. Our analysis compares the adjusted error of metrics to humans and a derived, perfect segment-level annotator, both of which are unbiased estimators dependent on the number of judgments collected. In MT, we identify two settings where metrics outperform humans due to a statistical advantage in variance: when the number of human judgments used is small, and when the quality difference between compared systems is small. The data and code to reproduce our analyses are available at https://github.com/johntzwei/metric-statistical-advantage .
Enabling Drones Collaboration in ITS Applications Using a BDI Architecture Based on a 5-Dimensional

Thanks to their capabilities to track objects and events of interest as well as their capabilities to provide unique real-time views of road sections, drones are being increasingly used in Intelligent Transportation System (ITS) applications To deal with the highly complex ITS tasks, several approaches are allowing these drones to collaborate and ultimately achieve goals beyond their individual capabilities Moreover, recent approaches are highlighting the need to empower drones with intelligence and autonomy, particularly to enable them react more efficiently to changes in the commonly open and highly dynamic ITS environments Intelligence and autonomy will also enable drones optimize the use of their limited onboard resources Within this perspective, we are proposing in this paper an intelligent drone collaboration approach using the Multi-Agent System paradigm Based on a new generic Belief-Intension-Desire (BDI) architecture, our approach implements a five-dimension social model that mimics humans’ reasoning and interactions In contrast with the existing approaches, our solution enables drones to switch between selfish and collaborative behaviors To demonstrate some benefits of our BDI architecture, we run simulations of two types of collaboration approaches;namely Collaboration based on Centralized Planning and Collaboration based on Participatory Planning Our simulations are run to manage road traffic in the advent of an emergency situation like the COVID-19 pandemic © 2021, Springer Nature Switzerland AG
Secure data communication IoT and wireless sensor network for COVID-19

Coronavirus disease (COVID 19) is the dangerous pandemic that scares the world from November 2019 affects more than 50% of the world population. Internet of things (IoT) is coming as a survivor to manage the pandemic situation because of its controlling and monitoring capability without human intervention. In this paper, Secure IoT integrated withwireless sensor network (WSN) for COVID 19 is implemented to monitor the infected patient's health condition. The sensor node's monitored data are encrypted using the different existing encryption algorithms to secure the health care data. Triad parallel advanced encryption standard (AES) algorithmis novel encryption algorithm proposed to encrypt the data in the internet server that improves the security of the stored data and the parallel processing reduces the execution time of the algorithm in insignificant amount. In this proposed work, the performance evaluation of the network in different encryption algorithms are carried out.