Reviewerly/exHarmony huggingface dataset:
Investigation of the Adsorption Potentials of an Organic Adsorbent for Phenol Removal from Aqueous Solution

Phenol is a prevalent pollutant found in many industrial wastewaters, and it is paid singular attention because of its special features including high toxicity, carcinogenic properties, and vital cumulative ability that affects the health of humans and the environment. The current study investigated the removal of phenol from synthetic aqueous solutions using prepared Moringaoleifera seed shell as an adsorbent. The efficiency of phenol removal by Moringaoleifera seed shell was evaluated in a batch system, and different parameters such as initial concentration of phenol (100, 200, 300, 400 and 500 mg/L), contact time (10, 20, 30, 40, 50 and 60 min), and adsorbent dosage (0.2, 0.4, 0.6, 0.8, and 1.0 g) were studied. The results showed that the highest percentage of phenol removal by the ash occurred at 0.8 g dosage, contact time of 40 min, and initial concentration of 500 mg/L giving 87.2% phenol removal. The adsorption process was modeled with Langmuir and Freundlich isotherms and adsorption kinetics (pseudo-first order and pseudo-second order) at controlled temperatures. The results showed that the experimental data fitted the Langmuir (R2 = 0.8338) much better than the Freundlich model (R2 = 0.7314). For the analysis of the adsorption kinetics, the results showed that the experimental data fitted the pseudo-second order kinetics (R2 = 0.999) much better than the pseudo-first order kinetics (R2 = 0.5042). In general, the results of this study revealed that Moringaoleifera seed shell has suitable potential for use in removing phenol from aqueous solution on operation and practical scales due to its availability and organic nature.
Modeling Cyber Threats as Medical Adverse Events

This chapter reviews best practice approaches to performing cybersecurity risk management. It introduces the cybersecurity risk equation and explains how to apply cybersecurity controls to mitigate cybersecurity risks. The chapter also provides an overview of approaches to identify cybersecurity threats and known categories of cybersecurity threats to digital health.
Physiological Study of Udaan Vayu w.s.r Speech

The purpose of Ayurveda science is to maintain the health of the healthy and cure disease of diseased.In Ayurveda a person is said to be healthy when Dosha, Agni (digestive fire), Dhatu(tissues), all the physiological process are in homeostatic state and soul, sense organ and mind are in a state of total wellbeing. [4]Vata dosha acts as yantratantradhara which means in its normal state it maintains the function of organs and organ systems. [2]Among five Vata Dosha, Udana Vayu is located in urah (thorax region), and travel across Nasa (nasal passage), Nabhi (umbilicus), and gala (throat region).The term Udana itself signifies upward movement of Doshas.Udanavata is considered as Pavanottama. [4]It is responsible for the production of speech, effort, energy and maintenance of strength required for the purpose.It also helps in remembrance of vocabulary required to make the speech meaningful.All the functions of udana vayu can be compared with physiological functions of anatomical structure of contemporary modern medical science.Basically Broca's area, Wernicke's area, thymus gland, serotonin like happy hormone, motor area of cerebral cortex and other structures might be compared with the functions of udana vayu.
Analisis Pengaruh Bentuk Slidding Roller Terhadap Torsi dan Daya Kendaraan Berbasis Continously Variable Transmission

This study aims to determine the ratio of power and torque on an automatic motorbike using two different rollers, namely a cylindrical roller with a sliding roller with a weight of 12 grams each. The method used in this research is the experimental method. The testing and retrieval process carried out at the Gede Widi Motor workshop, and data collection was carried out five repetitions for each variation. After testing, there are differences in torque and power on the cylinder roller with roller sliding. The cylinder roller reaches the highest torque of 7.6 Nm at Rpm 4000. The highest power is 7.46 Hp at Rpm 7000, while in roller sliding, the highest torque is 11.82 Nm at Rpm 4000 and the highest power 7.56 Hp at 7000 RPM.
Designing Information Systems for Transportation Permit of the Coal Mining Industry Based on Rational Unified Process

Indominco Mandiri Ltd. is a private company engaged in coal mining and general trading. The permit process for the transportation of goods is a vital sub-process in supporting the organization's business activities. The transportation permit process employed by the Indominco Mandiri Ltd. is still the manual one. The present study aimed to develop a Transportation Permit Information System for the company. The rational unified process methodology was employed in the designing process, the system and user requirements, and the system design. The results obtained from working on specific practical work tasks are the business process model, software requirements specifications, and software design documents. The resulting software requirements documents and software design documents were produced based on IEEE Std 830 ™ -1998 (R2009) and IEEE Std 1016 ™ -2009. The business process modeling was used in the business process notation model. The system requirements were documented in the software requirements specification based on the use case. The point of view used to design the software was the points of view of composition, logic, dependency, information, and interaction. The diagrammatic models to describe the points of view were a unified modeling language, relational models, data dictionaries, and entity-relationship diagrams. Several processes needed in the transportation permit information system, namely managing form, managing account, validating the form, verifying the form, and managing the register. This research aids developers to develop information systems to suit the needs of the customers. Keywords: rational unified process, business process, software requirement specification, software design description, transportation permit
Foreign Science vis-à-vis Crime Investigation

The system relating to technology and science application in criminal detection and examination and discharging of justice is not recently uncovered in India. Forensic science in the area of criminal justice is now making a primary contribution by providing evidence that could help establish the malfeasance of the suspect. Directly opposed to what is broadcast on TV in several Crime Investigating Shows, forensic science needs greater comprehension and is complicated when demonstrating to the bench, especially if not from a science context. Because of the scientist's cluelessness or the evidence portrayed is contradictory, when a case declines in the courtroom, it increases the risk of inability to adhere to justice. Forensic Science addresses the application of the knowledge and techniques of various areas of science in the legal arena. This paper is a comprehensive study towards forensic science.
Integrated Application Model for Hand Gesture Recognition

Hand gesture-based human-computer interaction is both intuitive and versatile, with diverse applications such as in smart homes, games, operating theaters, and vehicle infotainment systems. An effective human-computer interaction system is required a good accuracy rate of recognition and speed. In our work, we have proposed a system model for static hand gesture recognition by using multiple common features. There are three contributions in this model:(1) A multiple features classification based on the Non-Dominated Sorting Genetic Algorithm II (NSGAII). The use of NSGAII can be reduced redundant features and minimizing feature value which effective on the execution cost of the system. (2) Proposed a new methodology of multiple features convolutional neural network (MFCNN) model to recognize both common and real-time hand gestures. (3) The generation of sequence sentences based on the Beam Search (BS) algorithm. Data of image labels that were received from the recognition stage combine with the CNN/Dailymail dataset is used to generate sentences.
Improving Classifier Confidence using Lossy Label-Invariant Transformations

Providing reliable model uncertainty estimates is imperative to enabling robust decision making by autonomous agents and humans alike. While recently there have been significant advances in confidence calibration for trained models, examples with poor calibration persist in most calibrated models. Consequently, multiple techniques have been proposed that leverage label-invariant transformations of the input (i.e., an input manifold) to improve worst-case confidence calibration. However, manifold-based confidence calibration techniques generally do not scale and/or require expensive retraining when applied to models with large input spaces (e.g., ImageNet). In this paper, we present the recursive lossy label-invariant calibration (ReCal) technique that leverages label-invariant transformations of the input that induce a loss of discriminatory information to recursively group (and calibrate) inputs - without requiring model retraining. We show that ReCal outperforms other calibration methods on multiple datasets, especially, on large-scale datasets such as ImageNet.
Jambi City Tourism Information System Design

The very rapid development of technology helps a lot in terms of disseminating information to be faster, more accurate, and not limited by place and time. Technology in the tourism sector is not only used as a promotional medium, but technology is also a learning medium for entrepreneurs in the tourism sector so it is important for the tourism sector to have an information system as a medium for disseminating information. The Jambi City Tourism Information System is an information system that contains a collection of information data that summarizes information about the region, province or tourism place in the city of Jambi which is compiled in a web-based information system, with this information system it can make it easier for the public to obtain information. , accelerating the service of information sources. The design of the tourism information system in the city of Jambi is built in a web-based form with system design assisted by several tools such as the programming language PHP, Javascript, MySQL, Xampp, and Adobe Dreamweaver.
Research on Innovation and Entrepreneurship of Higher Vocational Education Based on CiteSpace

Abstract Based on the CiteSpace, the core Chinese journals in CNKI general library from 2005 to September 2020 were searched, 2855 papers on innovation and entrepreneurship were obtained and analyzed. The development of innovation and entrepreneurship in Higher Vocational Education in China was objectively analyzed by drawing the knowledge map of the research authors, research institutions and research topics in this field. The results show that the research authors and research institutions form less cooperation, in the research institutions, with the increasing number of coastal economic development zones, vocational education innovation and entrepreneurship research main force to the relatively developed areas of the transfer. Research is carried out on hot issues such as political education, modern apprenticeship system and the integration of dictatorship. It is suggested that we should continue to strengthen the research on the integration of “proprietary” and pay attention to the improvement of the curriculum system and teaching methods according to local conditions. The specific content of innovation and entrepreneurship education should be improved to diversify innovation and entrepreneurship.
Educational Studies and the Disciplines

This article investigates disciplinary ways to deal with instructive examinations in the course of recent years, specifically those created by types of the 'establishment controls' of history, theory, brain research and social science. It researches the foundation of the orders during the main portion of the time frame, and their union, endurance, and variation since the 1970s in a quickly changing instructive and political setting. The idea of the commitment of the controls, both independently and together, to the investigation of training is evaluated. The article additionally thinks about the job of the orders in invigorating a pluralist and mixed way to deal with the investigation of schooling, rather than the idea of a unitary and self-sufficient field of information addressed as 'instructive examination'
PENERAPAN MODEL PEMBELAJARAN COOPERATIF TYPE JIGSAW UNTUK MENINGKATKAN HASIL BELAJAR SISWA TENTANG TEKS INTERAKSI INTERPERSONAL LISAN DAN TULIS PADA MATA PELAJARAN BAHASA INGGRIS

APPLICATION OF THE JIGSAW COOPERATIVE LEARNING MODEL TO IMPROVE STUDENT LEARNING OUTCOMES ABOUT INTERPERSONAL INTERPERSONAL INTERACTION TEXTS AND WRITING IN ENGLISH SUBJECTS This research is a Classroom Action Research by providing action on research subjects in two learning cycles. This study aims to determine the application of the Type Jigsaw cooperative learning model can improve student learning outcomes in English subjects about oral and written interpersonal interaction texts in Class IX Junior High School ( SMP Negeri 5 Kota Bogor )  Odd Semester 2019/2020 Academic Year. Another goal is to describe the process of improving student learning outcomes about oral and written interpersonal interaction texts in English subjects after using the Jigsaw Type Cooperative Learning Model. To measure the magnitude of the increase in student learning outcomes about oral and written interpersonal interaction texts in English subjects after using the Jigsaw Type Cooperative Learning Model in. The results of this study indicate that before using the cooperative learning model Type Jigsaw, the learning outcomes of students only reached an average value of 66.32 then an increase occurred after using the Make A Match cooperative learning model to 73.53 in cycle 1 and 81.03 in cycle. 2. By using the cooperative learning model Type Jigsaw can be a fun variation of learning for students so that it is proven to improve student learning outcomes in Class IX semester 1  Junior High School ( SMP Negeri 5 Kota Bogor ) .
LLS Home: Before you Publish: Creative Commons and funders

It is important to choose which journal you publish in carefully to maximize dissemination, visibility and citations to your research.
IMPLEMENTASI ALGORITMA NAIVE BAYES UNTUK MEMPREDIKSI FREKUENSI TUNAI PADA MESIN ATM DI MASA TRANSISI PEMBATASAN SOSIAL BERSKALA BESAR (PSBB) PANDEMI COVID-19

Determining the need of money for ATM is usually different, that is one of the problems in managing money allocation of ATM. Some seasonal factors such as holidays and the implementation of transition large-scale social restrictions related to the covid-19 pandemic that can affect fluctuations in cash transactions. In this paper aims to determine the frequency of cash withdrawals at ATM since the enactment of transition large-scale social restrictions in Jakarta using the naive bayes algorithm so it can be identified which ATM require more allocation money or not. Providing the right money allocation can improve the quality of service to customers and minimize unused money in ATM. Results of analysis using a Naive Bayes algorithm to predict cash withdrawals frequencies at ATM that show a prediction accuracy up to 81%
Enforcement of intellectual property rights

Intellectual property remains not just economically significant, but also of daily importance to most businesses and individuals. The digital age brings many opportunities, but also presents continuing challenges to IP law, and the EU's programme of harmonisation unfolds in this context. Taking account of numerous changes, the third edition of this detailed yet accessible book offers a fully updated account of the law as it affects all the major rights, free movement and competition matters, and enforcement. It sets the substantive law in its international and policy context, and is essential reading for postgraduate students, academic researchers, and legal practitioners alike.
HYPERSPECTRAL SIGNATURES AND PETRO-CHEMICAL STUDY ON STEATITE DEPOSIT AROUND VADRAHALLI VILLAGE, DHARWAR CRATON, KARNATAKA, INDIA

AbstractDharwar Craton composed of large diversified litho units. The rock formations of Karnataka in the geological history are largely confined to two oldest eras the Archean and the Proterozoic, the rest of the great periods from Cambrian to resent. Most of the economical valuable mineral deposits are associated with Precambrian rocks. Steatite is a compact metamorphic rock with much of it talc mineral along with other minor impurities. Due to their unique heat resistant and other physical properties they are used in ovens, masonry heaters, fireplace liners, cookware, electronic insulator and carvings etc. Occurrences and good workable deposit of Steatite around Vadrahalli village of Hassan district have been identified and demarcated. Fresh samples of steatite, metabasalt, basic dyke and pegmatic gneiss were randomly collected in the field through GTC (Ground Truth Check). Rock samples were studied under transmitted light microscope, Reflected light microscope, SEM-EDX and Spectro-Radiometer. Spectral signatures were studied by Spectro-Radiometer (Spectral Evolution SR-3500) instrument, DARWinSP.V.1.3.0 and ArcGIS software. Petrography helped to know the minerals which are associated with steatite, SEM-EDX studies helped to know the high Mg and Cr elemental percentage present in the given steatite sample. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. Spectral signature curves of steatite were derived based on their physico-chemical and optical properties. The present work is aimed for studying the petro-chemical signatures and hyperspectral signatures of steatite and their associated litho units. The final results highlight the spectral characters of steatite for mapping and demarcating the deposit in the study area and also for better mapping in similar terrains around Precambrian terrains, Dharwar Cratonic group of Karnataka State.Keywords: Steatite, Petrography, Hyperspectral Signatures, SEM-EDX studies, Vadrahalli village
UK spies promise to use AI and biometrics ‘ethically’

Britain's main intelligence agency, GCHQ, has surprisingly backed rights campaigners’ calls for AI and biometrics to be used ethically while protecting privacy, reports Tim Ring.
Strategies of College Curriculum Management Planning Based on Cluster Search

To classify students scientifically based on their own personalized data and get more objective evaluation results of students, the beam search algorithm is applied to the reform of higher education curriculum content in this paper. In each step of deep expansion, the scheme cuts off some nodes with poor quality and retains some nodes with high quality. In this way, the space consumption is reduced, the time efficiency is improved, and the similar intermediate state in the search process is removed. Experimental results show that when the university teaching data set is large, the algorithm can quickly find the most correct solution. The experimental results show that the scheme and measures of the algorithm applied to the exploration of higher education reform are effective, and there is no need to increase the output power.
기대일치와 인지된 혜택이 대학의 온라인 수업의 만족도와 지속적 사용 의도에 미치는 영향

PurposeMany students have concerned about the quality and operation of online courses with universities offering online courses to avoid the spread of COVID-19. To deepen our understanding of university online class systems, this research aims to assess students'' satisfaction with online class systems and continuous usage intention on the basis of the perceived benefits and expectation confirmation theory.Design/methodology/approachThis paper empirically analyzes the impact of each perceived benefit on user satisfaction and the intention to use it continuously by dividing the perceived benefits considered in existing literature into utilitarian benefits (convenience), emotional benefits (pleasure), and symbolic benefits (personal benefits). Moreover, the perceived expectations and performance have also been assessed with its impact on satisfaction and the intention to continue use. Data collected from 241 university students were empirically tested against a research model.FindingsAnalysis results showed that perceived advantages (comfort, enjoyment and personalized benefit) significantly affect user satisfaction and that perceived benefits have positive effects on the intention to continue use whereas the expected confirmation do not significantly influence on the intention to continue use.
Detecting Anomaly in Health Care Insurance

Abnormality recognition is tied in with discovering examples of interest (anomalies, special cases, quirks, and so forth) that stray from anticipated conduct inside information. Given this definition, it's significant that inconsistency identification is, along these lines, fundamentally the same as commotion evacuation and oddity location. Oddity discovery can be utilized for a large group of clinical use cases, for example, sepsis avoidance, medical clinic bed designation streamlining, and starter radiology and dermatology screenings. However extortion recognition stays a fabulous oddity discovery venture for the medical services area since it doesn't impact the clinical consideration legitimately, and can help improve clinician trust. There is a reasonable degree of profitability (ROI) with fruitful misrepresentation location AI frameworks, which can show esteem. In the event that specialists and experts don't believe that ML frameworks can offer some benefit or are fit for improving attempted and-tried philosophies, they are probably not going to incorporate them into work processes. Identifying deceitful and harsh cases in medical services is one of the most testing issues for information mining considers. Nonetheless, the majority of the current investigations have a lack of genuine information for examination and spotlight on an extremely restricted form of the issue by covering just a particular entertainer, medical care administration, or infection. The reason for this investigation is to execute and assess a novel system to recognize fake and damaging cases autonomously from the entertainers and products associated with the cases and an extensible structure to present new extortion and misuse types. Intuitive AI that permits joining master information in a solo setting is used to identify extortion and oppressive cases in medical care. To build the precision of the system, a few notable techniques are used, for example, the pairwise correlation strategy for investigative various leveled preparing (AHP) for weighting the entertainers and traits, desire expansion (EM) for grouping comparable entertainers, two-stage information warehousing for proactive danger computations, representation apparatuses for successful examining, and z-score and normalization to figure the dangers. The specialists are associated with all periods of the examination and produce six distinctive strange conduct types utilizing storyboards. The proposed system is assessed with genuine information for six distinctive unusual conduct types for solutions by covering every significant entertainer and wares.