Reviewerly/exHarmony huggingface dataset:
Optimal Allocation of Resources for the Integrated Medical Care and Elderly Care Model under Dynamic Monitoring

Aiming at the problems of poor fairness of resource allocation and long time-consuming allocation of traditional methods, a method of resource optimization allocation under dynamic monitoring of medical care combined with elderly care mode is proposed. The integrated medical and elderly care model is analyzed, the role of dynamic monitoring in the optimal allocation of resources in the integrated medical and elderly care model is discussed, and a general model for optimal allocation of medical and elderly resources based on the analysis results is established. Based on the criterion of “minimum variance of estimation error,” a combined prediction model is established to obtain the combined prediction results. The investment objects of the optimal allocation of resources in the elderly care model are clustered in advance by using the clustering method, and the investment objects of the optimal allocation of resources in the elderly care model are comprehensively evaluated by using the principal component analysis method. According to the actual results of the comprehensive evaluation, the improved whale algorithm is used to allocate pension resources reasonably, and the fairness and applicability of the allocation results are analyzed experimentally. The results show that the method proposed in this paper has strong rationality and can effectively realize the rational distribution of pensions.
Students’ Need Analysis in the Content of English for Hotel Accommodation of Vocational High School

Different students’ need in vocational high school with senior high school direct the teachers to analyze the needs of the students in order to design an appropriate teaching-learning activity. The students’ need is emphasized to produce professional students to work in line with their particular field as the aim of vocational high school. The aim of this study was to identify some factual information about the students’ need in English learning, especially in the fourth English language skills, namely listening, speaking, reading, and writing as well as the components of English, namely grammar, vocabulary, and pronunciation. The subject in this study were the tenth-grade students of hotel accommodation program in SMK N 2 Singaraja especially class XP 1 and XP 2. Questionnaire and interview were used to collect the data in this study. The results showed that the students’ need is to meet their own academic professions and their future needs. It was done by covering everyday language of hotel’s activity with its language structure and examples which portray real hotel’s activity in each language skill and its components.
Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution

Training models with massive inputs is a significant challenge in the development of Deep Learning pipelines to process very large digital image datasets as required by Whole Slide Imaging (WSI) in computational pathology and analysis of brain fMRI images in computational neuroscience. Graphics Processing Units (GPUs) represent the primary workhorse in training and inference of Deep Learning models. In order to use GPUs to run inference or training on a neural network pipeline, state-of-the-art machine learning frameworks like PyTorch and TensorFlow currently require that the collective memory on the GPUs must be larger than the size of the activations at any stage in the pipeline. Therefore, existing Deep Learning pipelines for these use cases have been forced to develop sub-optimal "patch-based" modeling approaches, where images are processed in small segments of an image. In this paper, we present a solution to this problem by employing tiling in conjunction with check-pointing, thereby enabling arbitrarily large images to be directly processed, irrespective of the size of global memory on a GPU and the number of available GPUs. Experimental results using PyTorch demonstrate enhanced functionality/performance over existing frameworks.
Design of a Rule-Based and ADL Analysis System to Support Care of the Elderly

Medical advances have allowed people to live longer and this has presented different challenges to support them to keep living independently at home. The COVID-19 pandemic has affected the situation with less care staff and resources available for the elderly, which have also been spending more time at their homes without external contact. Elderly people are typically looked after by formal (professional carers) and informal (relatives and friends) carers. The work of carers has been increasingly supported using technologies for communication and wellbeing monitoring of Activities of Daily Living (ADLs) that elderly people perform in order to detect abnormal events that could negatively affect their wellbeing. This paper presents the design of a rule-based and ADL analysis system that takes data from different sensors as input and presents a number of visualisations in a dashboard as output. The dashboard is as user friendly as possible for both formal and informal carers of elderly people. It is intended that the proposed system can identify both immediate problems, but also trends and deviations from the individual’s norm, or that of a comparable cohort, which indicate the opportunity for pro-active care. This research has been done in collaboration with the Kraydel company, whose staff supported with ideas and with the commercial needs to be considered in the solution design presented in this paper.
Design of Distributed Human Resource Management System of Spark Framework Based on Fuzzy Clustering

The construction of human resource management system is a key part of enterprise management and control. A perfect human resource management system is conducive to the long-term development of enterprises. Aiming at improving the current situation of enterprise human resource management, a distributed human resource management system is proposed in this paper based on Spark framework. Aiming at the disadvantages of traditional <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>k</mi> </math> -means algorithm in processing massive data, such as low computational efficiency and high time complexity, an improved <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>k</mi> </math> -means algorithm based on Spark computing framework is proposed. Through the spatial location relationship with the cluster center, redundant calculation is reduced and the ability of processing massive data is improved for the system. Combined with the actual situation of the enterprise, the human resource management system architecture is designed by using Java EE human-computer interaction. The proposed system can achieve user management, employee information, attendance, evaluation, performance, salary, personnel change, and other business management. The experimental results demonstrate that the system can effectively reduce the time complexity of calculation and improve the system efficiency.
The attitude of teachers toward students’ self-assessment of educational achievements in inclusive education lessons

Self-assessment is to engage students as active participants in their learning and to reflect the results of their efforts since the key idea of self-assessment is that a child should achieve the learning goal and realize his achievements. The purpose of the study is to reveal the factors causing the lack of self-assessment in primary school lessons. The research collected data using observations and a questionnaire. The participants included 60 primary school teachers from the school of Almaty, the Republic of Kazakhstan. The collected data were analyzed using percentages. Based on the results of the research, the lack of the self-assessment component in the educational process is caused by the lack of assessment tools, which explains the negative attitude of teachers toward self-assessment. The efficiency of the implementation of the innovation in inclusive education needs to ensure the proper training of teachers, including key competencies for working in inclusive classes, and strengthening of its practical component.&#x0D; Keywords: self-assessment, educational process, assessment, students with SEN
DISTRIBUTION OF DRUGS ON THE INTERNET

The article clearly states the reasons for the active use of the Internet for the illicit trafficking of drugs, psychotropic substances and their analogues. Methods of selling drugs via the Internet are described, the principles of operation of online stores in general are shown.
Correction to: Unconditionally Secure Computation Against Low-Complexity Leakage

We consider the problem of constructing leakage-resilient circuit compilers that are secure against global leakage functions with bounded output length. By global, we mean that the leakage can depend on all circuit wires and output a low-complexity function (represented as a multi-output Boolean circuit) applied on these wires. In this work, we design compilers both in the stateless (a.k.a. single-shot leakage) setting and the stateful (a.k.a. continuous leakage) setting that are unconditionally secure against $$\mathsf {AC}^0$$ leakage and similar low-complexity classes. In the stateless case, we show that the original private circuits construction of Ishai, Sahai, and Wagner (Crypto 2003) is actually secure against $${\mathsf {AC}}^{0}$$ leakage. In the stateful case, we modify the construction of Rothblum (Crypto 2012), obtaining a simple construction with unconditional security. Prior works that designed leakage-resilient circuit compilers against $$\mathsf {AC}^0$$ leakage had to rely either on secure hardware components (Faust et al., Eurocrypt 2010, Miles-Viola, STOC 2013) or on (unproven) complexity-theoretic assumptions (Rothblum, Crypto 2012).
Synthesis and characterization of β-MnO2 nanoparticles for hydrogen production

The nanoparticles were hydrothermally synthesized using β-MnO2 nanoparticles were primed using a chemical reduction method. β-MnO2 nanoparticles were validated to occur in the type of nanocrystals with a high specific surface area of 109 m2 /g. While β-MnO2 nanoparticles were used as a photocatalyst for wastewater treatment, they demonstrated vastly more efficient hydrogen production action. The greater hydrogen production evaluate (750 mol-1 /h) was attained by separating the artificial sulphide effluent (0.2 M) using β-MnO2 NPs in a photocatalytic reaction. The findings demonstrate the β-MnO2 NPs' efficient power abilities, notably for photocatalytic hydrogen detachment from sulphide wastewater. From this investigation, we evidenced a recyclable tactic for impactful sewage treatment through the use of photocatalytic water splitting employing βMnO2 NPs.
Hand gesture recognition system based on laser ladar

New requirements are put forward for the commander's gesture recognition when driving tanks and armored vehicles. Image-based gesture recognition technology is vulnerable to illumination and easy to expose. A gesture recognition method based on laser radar is proposed. The palm motion posture is judged by analyzing the distance and angle information of the received hand points. The experimental results show that the gesture recognition method based on laser radar has the advantages of low cost of system construction and is not affected by light. The communication between night tanks, armored vehicle drivers and commanders provides new technical means.
A DFA Approach for Motion Model Selection in Sensor Fusion

This paper investigates the use of different motion models in order to choose the most suitable one, and eventually reduce the Kalman filter errors in sensor fusion for user tracking applications. A Deterministic Finite Automaton (DFA) was employed using the innovation parameters of the filter. Results show that the approach presented here reduces the filter error compared to a static model and prevents filter divergence.
The Impact of Strategic Alignment on Enhancing Organizational Reputation: An Exploratory Study for The Opinions of a Sample of Senior Leaders in the Ministry of Health, Iraq

The study aims to find the impact relationship between the strategic alignment with its apparent dimensions in achieving organizational reputation.The problem of the study was determined by many questions that centered on the nature of the influence relationships between the variables of the study, and for this purpose, a hypothetical model was developed that expresses the main research hypothesis.The importance of the study lies in drawing the attention of decision-makers in the Ministry of Health to the importance of the study variables (strategic alignment, organizational reputation), which are expected to benefit from improving their performance through the different points of view of these two variables.A number of objectives were formulated in the light of the study's questions, including testing the impact relationship between strategic alignment and organizational reputation to diagnose the reality of applying strategic alignment as a modern approach that enables the Ministry of Health, the study sample, to rely on it in achieving organizational reputation.The study relied on five dimensions of the independent variable strategic alignment, which are (communication, governance, partnership, infrastructure, and skills), and the dependent variable is organizational reputation.The method used in the study is the descriptive analytical approach, and a questionnaire was designed to collect the necessary data.An elite group of medical staff represented by the following (General manager, assistant general manager, department manager, division manager), was chosen as a non-random, intentional sample, in their capacity as the departments responsible for managing the strategies, and their number is ( 139) persons from the study community,the study used two ready-made statistical programs (SPSS.v.25) and (AMOS.v.25) to extract the results, and the study relied on a set of descriptive statistics methods (Normal distribution, percentages, arithmetic mean, standard deviation, coefficient of variation, and relative importance).And perform confirmatory factor analysis to identify the nature of the data to test the appropriate statistical analysis.As well as inferential statistics (simple linear regression, multiple regression), and the use of a set of tests (F, T).Among the most prominent conclusions reached by the study is that strategic alignment has an impact on achieving organizational reputation, which was represented by the validity of the study's hypotheses and the validity of the hypothetical model of the study, with the existence of an influence relationship between strategic alignment and organizational reputation.Among the recommendations and proposals that were made is to guidance the Ministry of Health administration to know and work with the dimensions of strategic alignment and try to adopt those dimensions in line with the capabilities of the Ministry.
120 years of georesources research in Switzerland: the Swiss Geotechnical Commission (1899–2018)

Abstract Geological surveys have a wide range of tasks for their countries: to map the geology and to assess the georesources potential for metallic ores, industrial minerals, geothermal energy, fossil fuels, aggregates and groundwater. In Europe, most countries founded geological surveys around the mid-nineteenth century in order to create an overview of the geological resources they wanted to exploit. In Switzerland, at that time, the industrial revolution triggered a tremendous demand for infrastructure and energy raw materials. However, no national georesources institution was established when the nation-forming process among the 25 cantons culminated in the foundation of the Swiss Federal State in 1848. The Swiss Geological Survey was founded 138 years later in 1986. How did Switzerland map the country, assess the resource potential and provide fundamental data for land use planning without such an organisation? This paper elaborates on the evolution of Swiss institutions mandated to study the geological resources, with a focus on the Swiss Geotechnical Commission (SGTK, 1899–2018). Given the low financial resources, no long-term nation-wide investigation programs could be implemented. The commission's study program was mainly driven by external societal and political factors. World War I for example reactivated the search for coal which was intensively exploited during those years. Before and during World War II, the focus temporarily shifted to oil and gas exploration. From 1970 onwards, SGTK was involved in several applied research projects and collaborations with various industry partners. In this paper, we revisit the key turning points in the evolution of the commission's investigation program, including related financial and organisational aspects, and discuss how Switzerland’s federalistic structure influenced the geological survey activities. The history of the SGTK represents an exemplification of how a nation managed its geological survey activities, until 1986 in the absence of a geological survey and without large hydrocarbon and metallic ore resources and a corresponding, significant mining industry. The SGTK case also shows that flexible, project-based investigations can be advantageous as they respond to current challenges at short notice. This could to some degree substitute the initial absence of a geological survey, as shown by the numerous SGTK monographs that are key references also 100 years after their publication.
About special properties of triangular numbers for immediate factorization

The factorization problem belongs to a group of problems important in the security of information systems and cryptography. The article describes a new number factorization algorithm designed based on numerical experiments. We present an extension of number factorization using triangular numbers features. The described algorithm can be used to increase the security of key generation for the RSA algorithm.
Analisis Kerusakan Saluran Sekunder Daerah Irigasi Susoh Kabupaten Aceh Barat Daya

The Susoh irrigation area is one of the irrigation areas in Sounthwest Aceh Regency, the Susoh Irrigation Area irrigates water with a standartd area of 5,793 Ha and a functional area of 2,571.24 Ha. However, with damage along the channel, the water needs are less than optimal for irrigating water in the rice fields. Damage to one of the irrigation buildings will affect the performance of the existing system, so in the secondary canal of the Susoh Irrigation Area it is necessary to do a research on channel damage analysis. Water discharge, water loss is also the amount of efficiency and effectiveness in the Susoh Irrigation Area. From the results of the analysis, it is known that the amount of water loss in the secondary canal in the Susoh Irrigation Area is 0.15696 m/s, the efficiency value is 77.67257% and the effectiveness value is only 51.79%. From the result of this analysis, it can be seen that the condition of the D.I Susoh secondary canal is mostly damaged, so it needs rehabilitation.
Graphical Interface to Improve Python Language Teaching and Image Processing

The increase in knowledge of programming languages is increasingly high due to current business and educational demands, in many cases it has been reflected that advanced knowledge of a programming language for careers in natural sciences and engineering have improved the possibility of getting a decent job with a good working environment. Many universities propose programming courses on a large scale and in a general way so that the student can investigate and deepen the topics, but when the course is carried out without any structure or interface with which the students present a great interest in it, they tend to fail or regularly make basic schedules to only pass the course. That is why a graphical interface system is proposed to improve the teaching of the Python language due to its various functionalities and improve the interest of image processing. Obtaining as results that, of the 100 students and teachers within the branch of natural sciences and engineering, using 9 indicators of satisfaction an average of 6 thus indicating that the graphic interface does help in the process of learning and interaction of the person did the programming and processing of images. It is concluded that the use of graphical interfaces for any type of teaching is quite useful due to the simulation mode that all these have, thus improving the level of interaction of the student and the possibilities of tests that can be carried out before the implementation or design in real. Keywords— GUI, Python, graphical interface, PyQt, artificial intelligence.
Seeing through unknown, random diffusers using all-optical diffractive networks

We report an all-optical computational imager to restore diffuser-distorted images at the speed of light, without a computer. For seeing through random/unknown diffusers, we trained diffractive networks consisting of successive transmissive layers. After its training, the resulting diffractive layers are fabricated, forming a passive optical network, placed behind random, new diffusers to perform all-optical reconstruction of unknown images entirely covered by unknown diffusers. All-optical diffractive reconstructions are completed at the speed of light propagation from the input to the output, do not require power except for illumination, and might find applications in e.g., atmospheric sciences, biomedical imaging, defense/security, among others.
Sustainability in Open Distance Learning (ODL): Adoption of Market Segmentation and Advertising Strategy

The purpose of this paper is to examine the prospective learner’s perception of effective market segmentation and advertising messages for open distance learning (ODL) advertisements. A descriptive study was conducted to assess the perceptions of prospective ODL learners in Malaysia. Selfadministered questionnaires were used to obtain meaningful data from 314respondents. The study was conducted from January to March, 2021. Based on the analysis, accessibility between the ODL institution and its market segments was viewed by the majority of the respondents as more important than substantiality. Furthermore, the respondents agreed that reminders and persuasive messages are significant in attracting audience attention to an ODL institution. The standardised path coefficients have shown that accessibility, reminders and persuasive messages are significant predictors of the sustainability of ODL institutions, whereas substantiality was perceived by the respondents as being insignificant. The results from this study will help ODL institutions be more focused when designing their advertising messages, and will deepen their understanding of market needs. These findings have strong implications for academic ODL institutions, particularly in the aspect of institutional sustainability based on effective market segmentation and the right strategy of advertising messages.