Reviewerly/exHarmony huggingface dataset:
Investigation of energy demand correlation during pandemic using self-organizing map algorithm

The world faces a significant impact from the coronavirus disease 2019 (Covid-19) pandemic, which also influences energy consumption. This study investigates the substantial connection of the classified data between power consumption, cooling degree days, average temperature, and covid-19 cases information using mathematical and neural network approaches regression analysis, and self-organizing maps. It is well established that various data mining methods have revamped the classification process of data analytics. Specifically, this study investigates the correlation between the collected variables using regression analysis and selecting the best-matching unit under the normalization method using self-organizing maps. The selforganizing maps become better when the datasets have variations; the result denotes that this method produced high mapping quality based on the map size and normalization method. Furthermore, the data crossing connection is indicated using the regression analysis method. Finally, the classified data results during the movement control order are validated in self-organizing maps to achieve the study objective. By performing these methods, this study established that the correlation between the energy demand towards cooling degree days, average temperature, and covid-19 cases is very weak. The verification has been made where the ‘logistic’ normalization method has produced the best classification result.
Impact of review of histopathology specimens at a tertiary oncology hospital in Eastern India – lessons learnt

A central review of histopathology specimens at tertiary oncology hospitals is important for optimum patient care in the modern era of personalised medicine. The challenges of healthcare delivery and access to ancillary investigations faced by a pathologist from the Indian subcontinent are different from the western world. We undertook an audit to analyse the differences of opinion between the diagnosis offered at peripheral hospitals and a tertiary oncology hospital in Eastern India. By analysing the differences, common pitfalls and diagnostic discrepancies are identified which need to be addressed in future. This audit also highlights the need of setting up of tertiary oncology diagnostic centres to help both peripheral pathologists and cancer care clinicians like a hub and spoke model. This is most needed for haematopathology, soft tissue and gynaecologic oncology where the need of ancillary investigations is high.
Keterlambatan Pelaksanaan Retensi Dokumen Rekam Medis di Rumah Sakit: Literature Review

Retention of medical record documents in hospitals must be implemented to limit the number of documents that have been stored on storage shelves for five (five) years, so that they do not accumulate between active and inactive medical record documents. However, several variables contributed to the delay in the implementation of the medical record retention policy. The purpose of this study was to determine procedures, Standard Operating Procedures (SOP), and other factors that contributed to delays in retention of medical records in hospitals. The study was conducted with a literature review of searches on Google Scholar and Garuda. The literature data were analyzed according to the inclusion and exclusion criteria, namely through cross-sectional research methodologies, descriptive surveys, qualitative studies, and journals published between 2017 and 2021. Of all the journals that have been obtained, the procedure for implementing the retention of medical record documents in hospitals is still not implemented properly. The SOP that has been set does not fully explain the procedure for implementing the retention of medical record documents because there are no certain procedures. The delay in the implementation of retention of medical record documents in hospitals is due to differences in the characteristics of archiving officers, supporting facilities and infrastructure, and schedules for storing medical record documents. SOP is important to be made as a guideline to reduce officer errors, and there are several components that cause delays in the implementation of retention of medical record documents in hospitals.
Efektivitas Workshop Academic Writing Untuk Meningkatkan Academic Self-Efficacy Pada Mahasiswa Semester Akhir

This research was to determine the effectivity of academic literacy writing workshop in improving senior college student’s self efficacy. The method used in the research was Pre-Experimental Design method. The experimental design used was The One Group Pretest-posttest Design which uses a single group design with pretest and posttest carried out by experimenting with one group, without using a comparison group (Shaughnessy et al, 2007). Analysis of the data used to test the hypothesis of this study is statistical analysis. This data analysis technique uses quantitative analysis with two related sample tests with Paired t test. The results showed that academic writing workshops were less effective in increasing academic self-efficacy with a significance value of 0.135, which is greater than 0.05. However, judging by the results per subject, it was found that there were five subjects who experienced a decrease in academic self-efficacy and there were nine subjects who experienced an increase in academic self-efficacy, although the results were not significant. This shows that the academic literacy writing workshop demonstrates its role in improving academic self-efficacy..
Growth directions for the JDMS community

The Defense Modeling and Simulation community as been working to improve decisonmaking for the past 75 years. This invited editorial highlights several open problems in our field, which I believe we need to collectively make progress against in order to maintain our relevance into the next era.
Environmental elements in the Bonfim W-Au(Bi-Te) deposit, NE Brazil

New detailed data concerning mineral chemistry using modern microanalytical techniques (PIXE and electron microprobe) were used to evaluate the geoavailability of chemical elements and the potential of environmental contamination in the Bonfim deposit. The results show that As, Ag, Cu, Pb, Zn, Mn, Ni, Se, Bi, Te and Mo are the main environmental elements detected. Except for Mn, all of these elements mainly occur in sulfides. This study reveals the geoavailability of some chemical elements of environmental concerns in the tailings of the Bonfim mine. Additionally, the cyanide ore processing executed at this mine may increase the potentiality for environmental contamination, since cyanide could enhance the release of some elements to the environment.
New exploration criteria for ‘megabreccia’-hosted Cu-Co deposits in the Katangan belt, central Africa.

The stratiform-stratabound Cu and Cu-Co deposits of the Katanga Supergroup occur in three different tectonostratigraphic settings. A continuous succession of the Lower Roan Group strata unconformably overlying the pre-Katangan basement hosts the major orebodies of the Zambian Copperbelt. However, the deposits in the Democratic Republic of Congo (DRC), and some deposits in Zambia, occur in allochthonous megablocks containing Roan-correlative strata and embedded in megabreccias. Contrary to past opinion of purely tectonic origin, recent results show that the ‘megabreccias’ are synorogenic conglomerates. They were deposited in two foreland basins formed in response to two orogenies. Proximal conglomerates of the Guba Group in Zambia record the early foreland basin. The Fungurume Group in the DRC documents sedimentation in the late foreland basin. The foreland successions have features applicable in exploration for Roan-correlative megablocks. The elements of the new exploration model are defined by stratigraphic position, boundaries, lithology/derivation of clasts, and vertical and lateral trends of sedimentary features.
Geological setting and sulphur isotope distribution for late Silurian volcanogenic massive sulphide deposits, Lachlan Fold Belt, NSW, Australia

Volcanic-hosted massive sulphide mineralisation comprises a major precious-metal enriched, base metal sulphide resource in Late Silurian felsic volcanic rocks in the eastern Lachlan Fold Belt of New South Wales. Sulphur isotope data for 12 deposits indicate a broad range in composition for ore sulphides (-1.7 to 14.1 per mil), exceeded by the δ34S composition for related pyrite from ore and host rocks (range -7.4 to 20.4 per mil). The study presents a relation favouring lower S-isotopic composition and a higher inferred magmatic S contribution for ores formed in proximity to defined centres of volcanism. VMS ores are more common in the deeper marine volcano-sedimentary packages, in contrast to vein-style and disseminated mineralisation developed in inferred shallow-marine environments
Sandstone-hosted stratabound copper deposits of the south Pyrenean foreland basin

Numerous small, noneconomic copper deposits are associated with syn-tectonic sandstones of Tertiary age in the south Pyrenean foreland basin. Copper, primarily as sulphides or oxides, replaces woody organic debris and earlier formed pyrite. Sulphide sulphur and organic carbon concentrations are generally low (&lt;2 wt. %) and δ34S values are compatible with bacteriogenic derivation from Pyrenean evaporites, which suggests that Cu-rich fluids were introduced into reduced sediments during diagenesis. Mineralizing processes took place in two different periods: the first one related to the filling of the Jaca basin during erosion of Pyrenean basement and the second one related to the emplacement of a thrust ramp which provoked the erosion of the previously formed cupriferous sandstones.
Creative K-16 Learning Inspired by Technology and Spirituality

Traditionally, school science has been built around well-defined problems, mostly involving top-down approaches where the decisions on learning methods are made by educational experts and organizations.In the real world, however, the problems are not always well defined and clear-cut decisions on the best learning modules are very difficult.Consequently, a restructuring of school science around real-world problems has been suggested by educational experts and organizations [1] [2] [3] , leading to several studies focusing on inquiry [4] [5] [6] [7] .Notable examples of inquiry-based studies are Design-Based Science (DBS) [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] and Learning By Design (LBD) [18] [19] [20] .Considering how important problem solving is when it comes to STEM (Science, Technology, Engineering and Mathematics) design, it is surprising that, despite all these learning techniques and presence of multi-million funded learning centers, math and science scores are not improving as expected.Recently, new learning techniques have focused on the use of technology that sparks the interest of children.A learning technique may be approved by educational experts and organizations but if it does not spark the interest of children, its efficacy may be limited or questionable.A further development of the Design concept has benefited from virtual reality (VR) and augmented reality (AR) [21] [22] [23] [24] [25] [26] [27] , the later combines real and virtual worlds.Not only do studies suggest that spatial abilities can be improved through AR [22] [23] VR/AR can also help explain complex concepts, devices, and systems in an interesting manner to students.For example, using characters from popular animated films, such as Bug's Life, to explain complex concepts of math and science can substantially increase student interest.This paper explores possible link between technology and spirituality in developing educational techniques that are based on technology that is very simple to very complex.
P184. Anomaly Detection for Schizophrenia on Functional Connectivity Using Graph Convolutional Neural Network

The diagnostic classification of neuropsychiatric disorders is usually considered as a supervised classification problem, which suffers from insufficient patient samples. Anomaly detection method can utilize the abundant samples of controls to construct a normal pattern and detect outliers.
How Much Do We Remove the Effects of the Site in Multisite MRI-Based Machine Learning?

Multisite MRI-based machine-learning benefits from larger sample sizes, but the use of different MRI devices introduces effects of the site (EoS). Several methods (e.g., ComBat) remove EoS, increasing accuracy. However, these methods may leave residual EoS that biasedly inflate the accuracy. Thus, we cannot know if EoS-removal methods associated with increased accuracy truly remove more EoS or, conversely, fail to remove EoS that inflate the accuracy. We present a strategy to measure the true efficacy of EoS-removal methods.
Intention to adopt e-Voting: A Perspective of South African Youth

In July 2020, the Independent Electoral Commission (IEC) of South Africa tabled its intention to introduce electronic voting (e-voting) to lower the costs of voting, improve electoral transparency and efficiency, and to improve overall voter participation. However, more research is required to explain the factors that could potentially influence voters, particularly the youth demographic (18-35 years), to adopt e-voting technology. This research investigated the factors that influence the intention of young South Africans to adopt electronic voting in South Africa by combining constructs from three theories: theory of planned behaviour (TPB), technology acceptance model (TAM) and the diffusion of innovation theory (DOI). An online survey was used to collect data (n&#x003D;412). Confirmatory factor analysis applied on a pre-tested and pre-validated quantitative survey reveal that technology stickiness, access to ICT, ICT skills, attitude towards ICT, relative advantage and political affiliation influence the intention to use e-voting. This research provides actionable insights for stakeholders in the electoral process management regarding e-voting adoption in the global South.
UM ESTUDO SOBRE A APLICAÇÃO DA P+L EM UMA CONSTRUTORA

Civil construction wastes (RCDs) are impacted by different construction waste (RCDs).In this context, Cleaner Production, P+L, emerges as a strategy that helps in the waste management process, as it suggests adding value to products, as it maximizes the use of raw materials and reduces the generation of waste.waste, consequently.Thus, the study aims to propose an implementation of LP concepts in a construction company.From its implementation, it was possible to propose improvements about the treatment and use mainly of wood, before environmental improvements.In addition, suggested improvements that could be other future suggestions and projects in the area.
Physical Education’s Role in Public Health based on the combination of speech recognition and behavior capture

Based on speech recognition and behavior capture, human motion correction is designed. In the process of movement, the real-time movement change of human posture is recognized, and the result of movement correction analysis is given after the movement. In the process of motion capture and correction, the position data of human bone joints should be taken into account, and the adjacent joints should be used to form the direction of the limb to carry out real-time motion correction. Specifically, according to the standard action corresponding to the joint point coordinates of the action to be detected, when the joint point bone data and the estimated value of the action to be detected are within the allowable range, it is judged to be in line with the standard action; on the contrary, according to the symbol of the error between the joint point and the estimated value, the deviation direction of the action to be detected is judged and corrected. Because the difference of action sequence can be regarded as the difference of feature in action sequence, the appropriate feature is selected to describe the process of motion difference according to the action sequence composed of bone joint position data. For action comparison analysis, considering the existence of action sequences with different lengths, firstly, the dynamic time warping method is used to align the action sequence; then the feature vector of the aligned action sequence is extracted, the cosine similarity is used to judge the action similarity, and the angle feature is used to describe the motion trajectory to obtain the result of action comparison analysis..
LABORATORY WORKSHOP IN PHYSICS IN ECOLOGICAL UNIVERSITY

The importance of a laboratory physics workshop in the formation of the foundation of scientific knowledge in the development of a physics course is well known. The recently changed conditions for training specialists with an updated register of goals and objectives required a revision of methodological approaches in the organization of the educational process. In this regard, the laboratory physical practice has also undergone significant changes. In the example of a laboratory workshop on optics, possible ways of its improvement, taking into account new educational realities, are shown.
From Search Queries to Conversations in the Design of Information Retrieval and Access Systems

With the introduction of new types of devices in our everyday lives such as intelligent assistants, the way people access information and their expectations have significantly changed. Most interactions now happen through conversations held over devices with small interfaces as opposed to search queries. This change has many implications in the design of information retrieval and access (IR) systems: we need to develop systems that can reduce user effort by reducing the number of user interactions needed with the device, while providing correct and unbiased information.
JEEVAN ONLINE HEALTH APPLICATION

The importance of health care is immense in society and over the past years, this sector has been evolving to produce a more efficient and computerized system. On our health service website, we try to develop software in which a patient registers on the website. then the patient is introduced to different features of the website such as health care tips, medication tips,pandemic awareness, nearest hospital location, blood availability and blood availability, and many more. Our software even allows patients to book a bed in a hospital and also allows the patient to buy blood from the nearest blood bank. Moreover, our software provides clear and actionable information for all users. This application maintains the entire data in a centralized and secured database server to maintain consistency in report generation and allows users to access it from any location. This is an online application that allows multi-user access to the system and to track or manage the data simultaneously. Various roles and authentications have been provided and access to various areas in the tool is restricted according to the role given to users. This system design is modularization into various categories. This system has enriched UI so that a novice user did not feel any operational difficulties. This system mainly concentrated on designing various reports requested by the users as well as higher with export to excel options.
Real-Time Detection and Translation for Indian Sign Language using Motion and Speech Recognition

Abstract— Being able to communicate effectively is perhaps one of the most important life skills of all. Speaking is the primitive form of communication and it is what enables us to express ourselves. But life can get really difficult if one lacks the gift of auditory capability. These people communicate with something called sign language. Sign language is a distinctive yet exclusive language, which has been developed for deaf community to be a part of the common culture. In India, there is a large population who are dependent on this form of communication. However, due to the lack of awareness of sign language in our day-to-day lives, they feel isolated and disconnected with the world. Therefore, we have created a platform which can bridge the gap of this isolation and misunderstandings, using the concepts of Deep Learning. Sign-L is a sign language translator, which can translate actions to text and voice to actions through animation. Not just translations, but it also provides tutorials to learn sign language and increase the much-needed awareness among others as well. Keywords— Sign language Translation, Communication, Social Services, Tutorial, Web Application
Big Data Processing in Geo-Distributed Data Centers Using Cost Minimization Methods

Abstract: The explosive growth of demands on huge process imposes a crucial burden on computation, storage, and communication in data centers, that so incurs wide operational expenditure to data center suppliers. Therefore, Price decrease has become Associate in Nursing rising issue for the longer term huge data era. All totally different from customary cloud services, one in each of the foremost choices of huge data services is that the tight coupling between data and computation as computation tasks is also conducted provided that the corresponding data is obtainable. As a result, 3 factors, i.e., task assignment, data placement and data movement, deeply the operational expenditure of data centers. Throughout this paper, we tend to tend to unit of measurement meant to see the worth decrease downside via a joint improvement of these three factors for big data services in geo-distributed data centers. To elucidate the task completion time with the thought of every data transmission and computation, we tend to tend to propose a two-dimensional stochastic process and derive the standard task completion time in closed-form. Moreover, we tend to tend to model the matter as a mixed-integer non-linear programming (MINLP) and propose economical resolution to correct it. The high efficiency of our proposal is valid by thorough simulation primarily based studies Keywords— Nonlinear Programming, Big Data, Computer Centres, Integer Programming, Minimisation, Mixed Integer Nonlinear Programming, Cost Minimization, Data Centers, Big Data Services, Operational Expenditure, Task Assignment, Big Data
Local Energy Based Shape Histogram (LESH) and Adaboost Machine Learning Techniques to Detect Lung Cancer

Abstract: Numerous cancerous tissues develop in a manner that obscures the specific side effects, making it challenging to identify the effects of lung disease. This investigation's findings can be verified using high-resolution images. With this method, the LESH Algorithm's vital activity will be examined in images. In this study, the GLCM approach is used to pre-measure the previews and element extraction framework, as well as to verify a patient's infection rate at a period when it is abnormal to know it. The malignancy stage will be assessed with the help of the results. Patients with malignant growths whose endurance rates can be estimated using the informational index. The outcome is wholly determined by how accurately the tissue patterns were constructed or how incorrectly they were constructed.