bluuebunny/crossref_metadata_2025 huggingface dataset:
Solution of the Saint-Venant torsion of orthotropic bar by the method of boundary collocation
Authors: Ecsedi István , Lengyel Ákos József , Baksa Attila , Gönczi Dávid
Published: November 2022

This paper deals with an approximate solution of Saint-Venant torsion problem of orthotropic bar with solid cross section. The boundary collocation is used to get the approximate analytical solution of the torsion problem. Examples illustrate the applications of the presented numerical solution.
Improving hydrocyclone efficiency by changing geometric parameters
Authors: Hegyes Zsolt , Petrik Máté , Szepesi Gábor L.
Published: November 2022

Hydrocyclone is a very simple and cost-effective way to separate inhomogeneous fluid-solid mixtures. It is important to ensure adequate separation efficiency during their operation. Many researchers have worked to identify the factors that influence separation. Geometry has been identified as one of the most important influencing factors. This article summarises the results of this research in order to provide a comprehensive picture of the importance and impact of each geometric element.
Design of new anti-buckling fixture for cyclic tension-compression testing of sheet metal
Authors: Ebrahim Jemal , Lukács Zsolt
Published: November 2022

The currently available anti-buckling fixtures for uniaxial tension-compression testing of sheet metal could not fulfill the requirements and standards. In this study, a unique system of the anti-buckling fixtures to enable getting accurate and repeatable isotropic and kinematic behavior of sheet metal was designed. The front surface of the specimen was fully supported during the initial position, tension, and compression and free from any buckling. Because using acrylic blocks, has a greater level of optical clarity, there was the possibility to measure the deformation on the front surface of the specimen using a digital image correlation system. The special pusher vice with compressed spring was attached to the fixture to avoid misalignment and calculating supplementary forces related to uniaxial direction. Furthermore, the new fixture was simple, flexible, and suitable for any universal testing machine.
Modelling different aspects of final exam scheduling problems for a graph-based state space reduction method
Authors: Trautsch László Kálmán , Erdős Szilvia
Published: November 2022

Final exam scheduling is a subtopic of scheduling where various special requirements with different levels of strictness should be managed. The formalisation of these requirements can be a challenge in itself. The number of possible schedules that should be examined is usually large, so the state space is vast. However, many of these schedules can be excluded completely at an early stage based on their inconsistency with the hard requirements, thus reducing the state space. The modelling approach for different aspects of final exam scheduling problems is presented in this paper through the modelling of an actual, complex problem. The created model was used as the basis for a state space reduction method. The results show that the method could handle all the hard and soft constraints of the problem and reduce the state space significantly based on them. The modelling approach can be used for formalising the requirements of various final exam scheduling and similar problems.
Communication solutions for smart buildings
Authors: Szopkó Szilárd , Bölkény Ildi
Published: November 2022

Building energy is a priority in the European Union's energy efficiency directives. In line with this, the EnerOptima module implemented within the framework of the Earth Energy Competence Center Project aims to optimize the building energy of existing buildings. The selection of the communication of the measuring and control modules to be implemented in the project requires great care, as it determines the quality of the IoT network. The article deals with the communication options used in different building energetics and their comparison. The purpose of this article is to compare communication protocols that are well-suited to the project and to select the optimal one for the project.
YANG MUDA YANG BERKARYA: PENDIDIKAN BAGI GENERASI MUDA PENERUS BANGSA
Authors: Lusia Oktafiana Marbun  , Maria Saragih  , Masniur Trima  , Pahlawanty Simanullang  , Merlin Minarni Siahaan  , Rani Juniar Manik
Published: November 2022

The purpose of this research is to provide an understanding that dares to be a witness. Don't be afraid to work even though you are still young, it will be the main idea. The method used in this study is a qualitative research method. The result of the research is that in general, young people have a lifestyle that tends to be instant, easily influenced by things around them. The same goes for church youth. The family and community in which he is located also influence his lifestyle. With regard to the matter in one's understanding of it shows a very influential influence on the application of it in life. The purpose of witnessing christianity is so that people may know God, believe in God and even be witnesses also. There are challenges faced when being a witness. The obstacles experienced came from within the person who testified and from outside. Challenges from outside are related to the context of the local community, ethnic differences, and religions that lead to different understandings or concepts about salvation.
SMART (splitting-merging assisted reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks
Authors: He Xingyu , Calhoun Vince , Du Yuhui
Published: November 2022

Brain functional networks (FNs) are promising for understanding brain function and dysfunction. Independent component analysis (ICA) has been widely applied to extract FNs. However, it is difficult to accurately determine an optimal model order (i.e., component number) in ICA, which raises a critique about the reliability of FNs. Here, we propose a SMART (splitting-merging assisted reliable) ICA that can automatically extract reliable FNs by clustering the independent components (ICs) from multi-model-order ICA while providing linkages among different-scale FNs. Furthermore, we develop a framework to extend SMART ICA to multiple-subject fMRI analysis. In the framework, initial group-level ICs under different model orders are clustered to obtain reliable group-level ICs, and then noise ICs removal is executed to retain reliable group-level FNs that are used to guide the computation of subject-specific FNs via our previously proposed group information guided ICA. We validate SMART ICA using both simulated and real fMRI data. For both the group-common and group-unique components in the two groups of simulated data, the estimated subject-specific FNs have high similarity with the ground-truth FNs. Using two age-matched groups of fMRI data involving 1950 healthy subjects, the reliable group-level FNs are greatly consistent between the two groups, and the subject-specific FNs show both correspondence and specificity, with a progressive change along with the increasing age. Importantly, brain FN templates at both small and large scales are provided. Taken together, SMART ICA automatically identifies reliable FNs without the need of setting a specific component number, while also providing linkages between multi-scale FNs.
Granulosa Tumour of the Ovary: A Case Report
Authors: Guindo Dr. Boubakary , Diarra Broulaye , Diaby Moctar , Guindo Ilias , Kouma Aminata
Published: November 2022

Granulosa tumours of the ovary are quite rare. We report an observation and review of the literature on its clinical, therapeutic and prognostic features.
Effect of Alienation in Franz Kafka’s The Metamorphosis
Authors: Wardani Dyah Purwita , Pratiwi Diah Anggesti , Basuki Imam , Cahyawati Erna , Murti Ghanesya Hari
Published: November 2022

The Metamorphosis is a novella written by Franz Kafka. This novel tells about a young man named Gregor Samsa who has experienced alienation. This research aims to understand the effects of alienation experienced by Gregor Samsa as a major character in The Metamorphosis. Erich Fromm's theory about three mechanisms of escape is used to analyse the effort of Gregor Samsa in solving his psychological problem of alienation. Modern man usually uses three mechanisms of escape by Erich Fromm to reduce the feeling of fear and isolation of burdened freedom when they want to be free. This research uses qualitative research in which the data are in the form of words and sentences in this novella. This study applies the documentary method as the technique of data collection. The data can be taken from various sources, such as documents, books, and journals. This research shows that Gregor Samsa’s alienation has influenced his entire life, family, and society.
Biometric Clocking System Infrastructure and Performance of Selected Tertiary Institutions in Kiambu County, Kenya
Authors: Muchiri Jemimah Wanjiku , Kyalo Dr. Josphat
Published: November 2022

Kenya's higher education institutions are in charge of offering top-notch instruction in order to realize Kenya's Vision 2030. The administration of Kenya's chosen public universities has made the performance or accomplishment of these institutions a top priority. Higher education institutions' most valuable assets are generally their employees. As a result, a lot of higher institutions in Kenya have made investments in biometric clocking system analytics to deal with the absenteeism problem. Reports indicate that poor performance as a result of staff absenteeism continues to be one of the biggest challenges facing Kenyan higher institutions, despite major investment in biometric clocking system analytics. The study anticipated to ascertain the effect of biometric clocking system infrastructure on performance of selected tertiary institutions in Kiambu County. The study was founded on Resource-Based View Theory. The target population was the staff of the selected tertiary institutions including Kenyatta University, Mount Kenya University, Zetech University and Kiambu Institute of Science and Technology, within Kiambu County. From the population of 4117 staff a sample of 363 was adapted to represent the entire population. The proposed study adopted stratified random sampling where the population was grouped in according to different responsibilities played in the institutions. The instrument returned a Cronbach’s’ reliability of 0.86. The results exhibited that biometric infrastructure (β=0.386: p<0.05) have a significant influence on performance of tertiary institutions. The study recommends that, institutions should focus on deployment of suitable hardware and software for biometric analytics. Finally, organizations need to create passwords and verification techniques that are secure and impossible for cyber hackers to crack in order to improve performance of Biometric analytics. This study may contribute to increased knowledge on current indicators of on the .....
Pelaksanaan Pembelajaran Bernyanyi Secara Unisono Di Kelas VII-5 SMP Negeri 22 Pekanbaru
Authors: Nabila Rifa , Epria Darma Putra Irdhan
Published: November 2022

This study aims to describe the implementation of cultural arts learning in unisono singing material. This type of research is qualitative research with a descriptive approach. Data collection techniques through literature studies, observations, interviews and documentation. Data analysis is carried out by classifying primary and secondary data then systematically compiled until conclusions are drawn.The results showed that the implementation of singing learning unisono was not optimal, due to the lack of teacher mastery of the learning implementation plan (RPP). The lack of understanding of teachers' understanding of unisono singing learning so that students are less guided in carrying out singing practices unisono in grades VII-5. The learning strategy used by teachers is Discovery Learning (The ability of students to search so that they can find their own). However, many of the students have not been able to sing unisono in accordance with the established techniques. Due to the lack of mastery of songs owned by students.
Functional evaluation of the double-bundle vs single-bundle anterior cruciate ligament ligamentoplasty. Prospective com-parative study.
Authors: Sánchez-Alepuz Eduardo , Miranda Ignacio , Miranda Francisco J.
Published: November 2022

Background: The anatomical reconstruction of the anterior cruciate ligament is of great interest because its function is directly related to its anatomy. The aim of the study was to compare dou-ble-bundle with single-bundle ligamentoplasty of the anterior cruciate ligament using a biome-chanical analysis of gait and balance.
Methods: Prospective comparative experimental clinical study on 64 people, 27 health subjects and 37 patients with anterior cruciate ligament injury. 19 injured subjects were assigned to single-bundle and 18 to double-bundle technique. Gait biomechanical analysis in all individuals were performed by means of four test and injured subjects ones were repeated at 3, 6 and 12 months after surgery: 1) kinematic test, to characterize gait pattern; 2) kinetic test, to characterize forces against floor, du-ration of treads, symmetry of both legs, and the reproducibility of the gait; 3) pivot-shift gait test, to analyze the rotational stability of the knee in the sagittal axis; and 4) equilibrium test.
Results: The two surgical techniques achieved an improvement of the functional alteration (gait pattern, changes in the forces against floor, duration of treads, symmetry of both legs, and the re-producibility of the gait, and changes in bipedal standing equilibrium), with little differences be-tween the two techniques, with neither being superior to the other.
Conclusion: Reconstruction of the anterior cruciate ligament with the double-bundle technique offered very similar improvement in functional recovery than the single-bundle technique. At 12-months after surgery, double-bundle technique did not result in better rotational stability of the knee.
Deception Recognition Method Based on Machine Learning
Authors: Chhajer Siddth Kumar , Satpathy Rudra Bhanu
Published: November 2022

Money extortion is a developing issue with far results in the budgetary business and keeping in mind that numerous procedures have been found. Information removal is effectively functional to back records to computerize the investigation of colossal volumes of multifaceted information. Information removal has additionally assumed a notable job in the location of Visa deception in online exchanges. Deception recognition in credit card is an information mining issue, it gets testing because of two significant reasons–first, the profiles of typical and deceitful practices change much of the time and besides because of the reason that Mastercard extortion informational collections are exceptionally slanted. This paper examines and analyze the presence of the Decision tree, Random Forest, SVM, and strategic regression on exceptionally slanted credit card extortion information. Dataset of Visa exchanges is sourced from European cardholders containing 274,335 exchanges. These function are used to crude and preprocessed information. The presentation of the strategies is assessed dependent on exactness, affectability, explicitness, accuracy. The outcomes demonstrate the ideal accuracy for logistic regression, decision tree, Random Forest and SVM classifiers are 96.8%, 94.4%,99.5%, and 96.6%. Keyword : Credit Card,Decision Tree,Deception Recognition, and Support Vector Machine.
Recurrent Neural Networks for Recommender Systems
Authors: Rath Ankit , Sahu Subhrajyoti Ranjan
Published: November 2022

The Internet is becoming one of the biggest sources of information in recent years, keeping people updated about everyday events. The information available on it is also growing, with the increase in the use of the Internet. Due to this, it takes a great deal of time and effort to locate relavent knowledge that the user wants. Recommender systems are software mechanisms that automatically suggest relavent user-needed information. Recurrent Neural Networks has lately gained importance in the field of recommender systems, since they give improved results in building deep learning models with sequential data. Unlike conventional recommendation models, RNN models more easily capture irregular and complex user-item relations. This paper provides a thorough analysis of the research content of recommendation systems based on RNN models. Keyword : Recommender systems, Recurrent Neural Networks, Recommendations, Gated Recurrent Unit, Long Short Term Memory.
Artificial Intelligence Role in Individual Decision Making
Authors: J Sunil Gavaskar , S Swetha
Published: November 2022

By the partial blast in large facts and the constant obligation for growth, AI is cutting available a better advert in our common community. Over the situation terminal based abilities, it transmits additional opportunities to switch numerous problems inside suggestions. It additionally raises new difficulties about its utilization and cutoff points. This theory expects to offer a higher ability of the occupation of people and AI in the hierarchical Decision-Making method. An examination centres on information serious firms. The fundamental exploration question that directs our examination is the accompanying one: In what capacity can AI re-plan and build up the procedure of authoritative Decision-Making inside information serious firms? We defined three increasingly point by point inquiries to direct us: (1) what are the jobs of people and AI in the Decision-Making procedure? (2) How can authoritative structure boost the Decision-Making procedure using Artificial Intelligence? (3) How can AI help to defeat the difficulties experienced by leaders inside information concentrated firms and what are the new difficulties that emerge from the utilization of AI in the Decision-Making procedure?. Keyword : Artificial Intelligence, Decision makers, Decision making process, Knowledge-concentrated firms, Organizational structure, Organizational test, Smart decisions.
Comparative Analysis of Stock Price Prediction by ANN and RF Model
Authors: Hota Lopamudra , Dash Prasant Kumar
Published: November 2022

The elementary goal of this paper is to predict the best model for estimation of stock market. Machine Learning is a blooming field in computer science that has contributed to many predictions and analysis-based algorithm in Financial and economical field. Some of the algorithms used for predictions are Random Forest (RF), Support vector machine (SVM), Long-Short Term Memory (LSTM), Artificial Neural Networks (ANN). Random Forest is an ensemble supervised learning algorithm for classification problems with high accuracy factor. ANN has matured to a great extend over the past years. With the advent of high-performance computing ANN has assumed tremendous significance and huge application potentials in recent years. The innovation of ANN technology mimics the large interconnections and networking that exists between the nerve cells to process complex task. The paper has presented ANN and RF model for stock price estimation based on historical data and computed the future price, with comparative result analysis of their performance. Further, a candlestick model is designed of the stock to show the variation in price of stock over a stipulated period of time. Keyword: Random Forest, Candle-stick, ANN, RNN, CNN, Support Vector Machine, Deep Learning
Scope and Integration of Computational Intelligence in Traditional Power Sector
Authors: Banik Ayan
Published: November 2022

An electrical power system is an infinite vast complex network of sophisticated equipment and confederate control to ensure a sustainable energy supply. Ever-increasing power demand in the recent decade has made it difficult to maintain its viability. A rapid transformation in the internal architecture of power system infrastructure is the need of the hour to continue the fictitious lifeline. With the passage of time, electricity has become one of the most crucial elements with almost no substitute. Cutting edge energy-efficient technologies and modern generation computational tools can trigger its growth to maximize its potential, which may entirely transform the power sector scenario and make it future-ready. It is predicted that the adoption of artificial intelligence mutually with data science must have a remarkable outcome to incorporate and develop automation and move towards a smart grid by slashing energy consumption, lowering prices, enhance transparency, gear up efficiency and boost clean green renewable sources globally. AI can further improve the planning, operation, and intelligent control of power systems. Data-intensive technologies can be introduced in diverse dimensions of the electricity value chain following an authentic road map which may considerably reduce the conventional challenges and create significant value. In this work, the authors have attempted to study, investigate, and explore the Power System's present outline in context to India and summarize future possibilities, difficulties, and specific outcome in a systematic, logical manner. This novel work shall benefit distinct researchers and dynamic academicians to get a fundamental idea and strengthen their existing knowledge over the subject. Keyword : Energy, power system, AI, data science, cloud computing, automation, management
Hybrid Spectrum Sensing Techniques in 5G Cognitive Radio Networks in Soft Computing: A Review
Authors: Neshe Nishat Nabila Haque , Singh Manwinder
Published: November 2022

This paper describes an updated and efficient method for Hybrid spectrum sensing in cognitive radio (CR) system utilizing soft computing paradigms. The suggested soft computing approach utilizes an artificial neural network and for learning and decision making as a solution to the problems when a new product is subjected to the CR framework, developed the ability for unlicensed cognitive users to access radio frequencies through a spectrum hole and understand its implications through mechanisms spectrum sensing. The suggested soft computing approach could then be referred to as the Neuro technique. The need for higher bandwidth is important with the rise in the number of communication devices. Usage of cognitive radio for the fifth generation 5G communication network of the next generation Consider the fact that CR technology will efficiently optimize the use of much of the unused communication spectrum bands for the future 5G of wireless network and beyond. Keyword : Hybrid spectrum sensing, 5G Cognitive Radio (CR), ANN technique.
Predictive Analytics of Selected Datasets using DTREG Data Mining Tool
Authors: N Megha
Published: November 2022

Predictive analytics is making a significant wave in healthcare Industry. Predictive analytics is an analytics offshoot which helps to make future predictions, resulting in more informed decisions. Data is central to accurate predictions. Several concepts like Data Mining, AI (Artificial Intelligence), Machine Learning and statistics need to work in tandem to ensure precise predictions. The main aim of the research work was to analyse the datasets of selected diseases using the DTREG data mining tool. Two datasets namely Alzheimer’s and Breast Cancer were taken from a public repository and analysed. Various algorithms namely single tree, decision tree, tree boost, support vector machine and neural network were studied. The results obtained were interpreted to understand which algorithm works best in each case. Also, the important predictors in each study were recorded. Interpretation of Alzheimer’s and breast cancer data using DTREG revealed neural network as the best algorithm. The significant predictors for Alzheimer’s were estimated as total intracranial blood volume, clinical dementia rating and age, and for breast cancer were uniformity of cell size, cell shape, benign and malignant and clump thickness. Data mining, artificial Intelligence and machine learning can thus be of very good help in determining the line of treatment to be followed by extracting knowledge from such suitable databases. Keyword : Terms—Algorithms, Alzheimer’s, Breast Cancer, DTREG
Design of Self Adaptive Fuzzy Sliding Mode Controller for Robot Manipulators
Authors: Kalshetti Sunil , Dixit Dr. Shantanu
Published: November 2022

This paper intends to design and develop an adaptive fuzzy sliding mode controller (SMC) for robotic manipulator. Since it is not viable to pair the SMC operations with the system model every time, this paper adopts a Fuzzy Inference System (FIS) to replace the system model. It effectively achieves the experimentation in two phases. Accordingly, in the first phase, it attains the accurate features of the system model based on varied samples to characterize the robotic manipulator. In the second stage, it represents the derived fuzzy rules based on adaptive fuzzy membership functions. Moreover, it establishes the self-adaptiveness using Grey Wolf Optimization (GWO) to attain the adaptive fuzzy membership functions. The analysis distinguishes the efficiency of the adopted technique with the optimal investigational scheme and the traditional schemes such as SMC, Fuzzy SMC (FSMC) and GWO-SMC. Moreover, the comparative analysis is also performed by including the noise and validates the effectiveness of the proposed and conventional models. Index Terms : Sliding Mode Control, Robot manipulators, Controller, Noise.
An Analysis of the Supervised Learning Approach for Online Fraud Detection
Authors: Reddy Dhoma Harshavardhan
Published: November 2022

Illegal online financial transactions are now more sophisticated and global in scope, which costs both parties—customers and businesses. For fraud prevention and detection in the online setting, many different strategies have been proposed. While all of these techniques aim to detect and stop fraudulent online transactions, they differ in terms of their features, advantages, and disadvantages. This study assesses the current fraud detection research in this area to detect the employed algorithms and assessing in accordance with predetermined standards. The systematic quantitative literature review methodology was used to assess the research studies in the subject of online fraud detection. A hierarchical typology is created based on the supervised learning methods in scientific articles and their properties. Therefore, by integrating three selection criteria—accuracy, coverage, and costs—our research presents the best methods for identifying fraud in a novel approach. Index Terms : Detection, Online fraud, Online transaction, Supervised Learning Algorithm.
Satellite Image Processing Using Fuzzy Logic and Modified K-Means Clustering Algorithm for Image Segmentation
Authors: Jain Geerisha
Published: November 2022

Satellite images are useful in providing a real time dynamic picture of the earth and its environment. The large assemblage of remote sensing satellites orbiting the earth provide an extensive and periodic coverage of the planet through the capture of live images round the clock, in turn enabling numerous uses for the benefit of mankind. In the field of satellite image processing, image segmentation is one of the vital steps for extracting and gathering huge amount of information from the satellite images. The basic k-means clustering algorithm is simple and fast in terms of dealing with the required segmentation, but the limitation associated with this clustering is its inability to produce the same result for every run, as the resulting clusters depends on the initial random assignments. In this paper, an enhanced modified k-means clustering algorithm is proposed for the effective segmentation of the satellite images with an objective to overcome the demerits of the traditional k-means by combining fuzzy logic with the membership function. The proposed methodology continuously produces the same result for each run. As an outcome, the experimental results proved that the enhanced k-means algorithm is an effective and more efficient process for the precise and accurate segmentation of satellite images. Index Terms : Image Segmentation, Satellite Imagery, Fuzzy logic, K-Means, Clustering.
НЕКОТОРЫЕ БИОЛОГИЧЕСКИЕ ОСОБЕННОСТИ БАКТЕРИЙ РОДА KLEBSIELLA, ВЫДЕЛЕННЫХ ИЗ РАЗЛИЧНЫХ ОБЪЕКТОВ ОКРУЖАЮЩЕЙ СРЕДЫ
Authors: Элиева М.А. , Усаева Я.С. , Турлова Ф.С.
Published: November 2022

Исследованы некоторые метаболические особенности бактерий рода Klebsiella. Исследуемые бактерии были выделены из разных источников и различались по вирулентности. Патогенные и сапротрофные энтеробактерии были выделены на основе их реакции на добавление углеводов или нитратов в среду. Патогенные Klebsiella spp. проявляли в основном смешанный муравьино-кислотный тип брожения и были более устойчивы к нитратам, чем сапротрофные бактерии с бутандиольным типом брожения. Бактерии Klebsiella pneumoniae subsp. Клебсиеллы, выделенные из разных источников, таких как пациенты, здоровые люди или окружающая среда, не проявляли существенных различий в метаболизме и вирулентности.
ГРАФИЧЕСКИЕ СРЕДСТВА ВЫРАЗИТЕЛЬНОСТИ В ХУДОЖЕСТВЕННОМ ТЕКСТЕ
Authors: Довлеткиреева Л.М.
Published: November 2022

В данной статье исследуются графические средства выразительности на материале художественных текстов, в том числе автор анализирует стилистическую функцию и эмоционально-смысловую нагрузку различных знаков препинания, роль тире, многоточия и других средств пунктуации в авторской стилистике, значение так называемых «авторских знаков», выявляет знаки препинания, к которым тяготеют те или иные авторы художественных произведений, определяя их место в идиостиле. На примере творчества Анны Ахматовой рассматривается проблема соотношения авторских и вариативных знаков. Также в статье представлены другие графические приемы выразительности: намеренное отсутствие знаков препинания, использование прописной буквы, прием парцелляции, фигура графической сегментации, эксперименты с формой поэтического текста в виде графической анафоры, логогрифа, различных геометрических и иных фигур построения текста – лестницы, треугольника и т.д.
ВЛИЯНИЕ ТЕМПЕРАТУРЫ И ВЛАЖНОСТИ НА РЕОЛОГИЧЕСКИЕ СВОЙСТВА ПОЛИАМИДА 6 И ЕГО КОМПОЗИТОВ
Authors: Акаева М.М.
Published: November 2022

Получены полимерные композиционные материалы на основе полиамида 6 и оксида цинка методом экструзии. Для определения термостойкости и влагостойкости образцы полиамида 6 и композитов на основе полиамида 6 выдерживали в печи при температуре 50 ͦС и влажности 60%. Измерена реологическая характеристика предел текучести расплава полиамида и композитов в процессе экспонирования. Композиты содержащие менее 2,5 % оксида цинка демонстрируют относительную термо- и влагостойкость по сравнению с исходными образцами. Образцы композитов с более высокой концентрацией оксида цинка деструктируют при более длительной выдержке, возможно в системе протекает гидролитическая деструкция с последующей сорбцией.
ПРОЯВЛЕНИЕ НАСИЛИЯ К ПАРТНЕРУ И МЕЖПОКОЛЕНЧЕСКАЯ СВЯЗЬ
Authors: Базуева К.И.
Published: November 2022

Цель этой статьи – определить исходные факторы, которые активируют каскад условий, которые приводят или продолжают цикл насилия над партнером между поколениями, и доказать, что ни социальные факторы окружающей среды, ни биологические факторы не могут объяснить это явление в одиночку; сочетание взаимодействий генов и окружающей среды демонстрирует наибольшую предрасположенность к совершению насилия над партнером и виктимизацию. Во-первых, мы объясняем доминирующую литературу о межпоколенческом насилии, в которой основное внимание уделяется социальным теориям, таким как теория социального обучения и теория привязанности, которые исключительно приписывают совершение насилия между поколениями и виктимизацию в более позднем возрасте факторам окружающей среды. Для такого типа рамок путь к совершению или виктимизации насилия начинается с раннего воздействия насилия. Тем не менее биологически связанные семьи также имеют общие гены, поэтому необходимо учитывать и биологические факторы, такие как когнитивные функции, нейрохимические функции, психофизиологические функции и гены. С точки зрения биологии, путь к совершению насилия или виктимизации индивида начинается с гена или физиологического состояния. Мы попытаемся раскрыть и найти связь и взаимодействие между генами и окружающей средой и их значительном влиянии на пути связи насилия между поколениями.
BIOGAS PRODUCTION AND ITS USES IN AGRICULTURE
Authors: Harish Kumar D. K  , N. Indianraj
Published: November 2022

This article deals with the production of biogas by using organic wastes such as animal manure ,food wastes, sewage water and other agricultural wastes . Biogas is a mixture of gases, primarily consisting of methane, carbon dioxide and hydrogen sulphide, produced from raw materials such as agricultural waste, manure, municipal waste, plant material, sewage, green waste and food waste. It is a renewable energy source. This article involves both the industrial and domestic production of biogas and its benefits ,uses and applications of biogas.
KEYWORDS: Biogas , BARC, Sakthi – Surabi biogas plant and biogas production
Az Európai Unió Bíróságának európai polgári eljárásjogot érintő esetjoga 2021-ben
Authors: Horváth E. Írisz
Published: November 2022

A polgári és kereskedelmi ügyekben folytatott európai igazságügyi együttműködés keretében a tagállami bíróságoknak 1971 óta van lehetőségük ügyeikben az Európai Bírósághoz, majd a névváltoztatást követően az Európai Unió Bíróságához fordulni az egyes nemzetközi jogi dokumentumok, illetőleg a másodlagos jogforrások rendelkezéseinek értelmezése céljából. A tagállamok gyakran folyamodnak ehhez az eljáráshoz, és az Európai Unió Bírósága évente 20-25 európai polgári eljárásjogi ítéletet hoz, ezzel próbálva iránytűként szolgálni a jogalkalmazók számára az európai polgári eljárásjog bonyolultnak tűnő rendszerében. Jelen tanulmány az ötödik abban a sorozatban, amelynek az elmúlt évekhez hasonlóan az egyetlen célja az európai polgári eljárásjog forrásaival kapcsolatban 2021-ben hozott döntések bemutatása, ezzel is megkönnyítve a téma iránt érdeklődők munkáját.
Hybrid-attention based Feature-reconstructive Adversarial Hashing Networks for Cross-modal Retrieval
Authors:   School of Information and Communication Engineering, Communication University of China, Bei Jing, China, Li Chen , Wang Hua ,   School of Information and Communication Engineering, Communication University of China, Bei Jing, China
Published: November 2022

With the massive growth of data of various modal types, people no longer use a single modal retrieval method, but a cross-modal retrieval method when performing retrieval tasks. Such methods often need to store data efficiently while maintaining the characteristics of fast query. Because the hashing learning method can represent the original high-dimensional data through a simple and compact binary hash code, which can greatly compress the data size and facilitate data storage and mutual retrieval, the cross-modal hashing retrieval has gradually become a hot topic in recent years. However, how to bridge the gap between modalities to improve the retrieval performance further is still a challenging problem. In order to solve this problem, we propose a Hybrid-attention based Feature-reconstructive Adversarial Hashing (HFAH) networks for cross-modal retrieval. First, a label semantic guidance module is introduced to guide the extraction process of text features and image features through the learning of labels, so as to fully maintain the semantic similarity between different modal data. Then, the hybrid-attention module is introduced to make the extracted data contain richer semantic information. Finally, the feature reconstruction network is used to make the relevant degree between similar cross-modal data pairs higher than that between dissimilar data pairs. Related experiments on two benchmark datasets confirm to us that HFAH performs better than several existing cross- modal retrieval methods.
Updating and Re-production of Scientific-technical Knowledge is the Most
Important Factor for Ensuring Employment
Authors: Revaz Shengelia Revaz Shengelia , Zhuzhuna Tsiklauri-Shengelia Zhuzhuna Tsiklauri-Shengelia , Natia Shengelia Natia Shengelia
Published: November 2022

The level of education is one of the main indicators of the country's success and development. The more educated a nation is, the more successful each country is, and vice versa. Educated people create strong institutions, on which, in turn, a strong state is based. Therefore, in the fast-changing competitive world, that national economy wins, and employment is more ensured in those countries in which human capital is formed most effectively and is considered a priority, while at the same time, it is desirable that the development of people proceeds smoothly, throughout their life.
Thus, in the conditions of modern super-competition, taking into account the latest achievements in the age of digital technologies, the renewal of scientific-technical knowledge, qualitative continuous education at all ages for people of any profession, for the country, for any field (including in the field of economy), for the company is of great importance, which, in the end, should provide employment for thousands and millions of people.
Keywords: continuous education, investments, updating and Re-production of scientific-technical Knowledge (STK), human capital, demographic aging; employment.
Predicting Students’ Mobility using Different Statistical Tools : Basis for Students’ Success
Authors: Cenas Paulo V. , Parrone Jennifer M. , Garcia Daniel Bezalel A. , Patacsil Frederick F.
Published: November 2022

This paper investigates students’ success at Pangasinan State University by identifying patterns and models that might be used to correctly classify and predict if a student will transfer or finish their studies. In this study, three categorical variables or attributes and one continuous variable were considered independent variables due to the availability of the data. The results from the binary logistic regression model with the high school general average and course as independent variables (Model 3), and the decision tree model with transition gain as a splitting criterion were fitted to the dataset to generate a model that possibly best describes the students’ mobility in Pangasinan State University Urdaneta City Campus. The decision tree model is better than the binary logistic regression model based on accuracy, AUC, and sensitivity values. This implies that the decision tree model is better at correctly classifying observations as "transferred" than Model 3. Thus, it was concluded that the decision tree model with information gain as the splitting criterion best describes the mobility of PSU students. The results of this paper can be used for school administration involving students’ mobility/success, particularly in classifying whether a student will transfer based on other.
La Gestión de Conflictos como Pilar de Los Programas de Compliance en Privacidad
Authors: Sicuto Guilherme Hernandes
Published: November 2022

El origen de la normativa sobre privacidad y protección de datos inaugura una nueva forma de relación jurídica entre las instituciones públicas o privadas que realizan actividades de tratamiento y los ciudadanos a los que se refiere la información. Hay que considerar, sin embargo, que el tema de la privacidad, aunque presente en las discusiones de la sociedad, aún requiere esfuerzos para ser incorporado al tejido social como un valor concreto. En este escenario de decantación cultural del tema, las instituciones se encuentran invariablemente ante la siguiente necesidad: comprender los intereses de los titulares y terceros involucrados y, en consecuencia, identificar el uso de los recursos, de manera asertiva, con la finalidad de proteger sus actividades y mantener la relación con las demás partes. De esta forma, la composición de un programa de compliance en privacidad debe considerar, además del cumplimiento normativo, el abordaje de los conflictos con el objetivo de evitarlos y, alternativamente, brindar oportunidades para su gestión. Así, esta investigación, identificará las ventajas de aplicación de conocimientos relacionados con el campo de conflicto en acciones de compliance y, finalmente, la indicación de estrategias para la prevención y gestión de conflictos de privacidad.
The Direction of Literacy Education in the context of ‘Datafication’: Reviewing alternative discussions on Data Literacy
Authors:   Korean Association for Literacy, Kim Yeonji , Suh Hyuk
Published: November 2022

This study calls attention to the present question as to literacy education addressing the change of literacy environments driven by datafication. First of all. issues of datafication are discussed in respect to changes of literacy practices. This establishes the argument requiring the intervention of literacy education for learners subject to risks in the context of datafication such as the loss of agency, prevailing data epistemology. control. In what follow, the concept of ‘data literacy’ is examined for the purpose of mapping out literacy education in datafication. Data literacy has received much attention in response to the rise of Big Data technologies. Discourses surrounded by data literacy are explored by dwelling upon interdisciplinary characteristics and main elements of the concept. Attempts to reconceptualize data literacy. which have been made in accordance with critical insights into Big Data technologies, are also explored. Finally, the direction of literacy education in the age of data based on critical literacy is suggested. It is hoped that this study is able to provide an impetus for further studies on literacy education in the context of datafication.
A Study on Kim Eun-seong’s Divisional Plays
Authors:   Korean Association for Literacy, Choi Sang Min
Published: November 2022

This paper examines aspects of divisional plays appearing in Kim Eun-seong’s plays (2011), (2012), and (2016). There are two specific research goals. First, it is to argue that the author’s perspective on division is different from the previous division plays. Second, it examines the characteristics of the dramatic figuration of the target plays. As a result of the discussion, There are two common themes that appear in these plays. First, these plays imprison themselves in the harsh reality of this land. And critically reveal the loss of humanity that is being identified with the vulgar reality. Second, these plays call for reflection and cognitive transformation of the reader/ audience necessary to confront this reality and overcome it. These plays show several characteristics to dramatically shape the subject. To summarize, First, the characters show a certain comedy. And new perspectives can be found in points that cause comedy. Second, these plays is a characteristic that appears in the narrative composition. These plays shows a unique narrative composition and development in which the time and space of the narrative are mixed, and furthermore, the reality and the surreal are mixed. I considers these characteristics appearing in his plays are to be the basis for the popular success of his plays in matters of style. Third, The characteristic that appears in his plays is the power of narrative lead by the object. In particular, objects such as handkerchiefs/hammers/ notebooks/mirrors have unique meanings in the narrative. Also, they play a certain dramatic role. The author’s stories remain at the point of ‘pain and compassion’. There are also critical views. However, this paper paid attention to the fact that he introduces char-acters who reflect on their reality and strive to show the possibility of overcoming division in his works.
Health Economic Evaluation of Weight Reduction Therapies for Overweight Individuals with a Musculoskeletal Diagnosis - A Systematic Review
Authors:   Bern University of Applied Sciences, Schurz Alexander , Walter Matthias , Liechti Melanie , Lutz Nathanael , Taeymans Jan
Published: November 2022

Review question / Objective: Are therapies that include weight loss strategies in addition to musculoskeletal interventions cost-effective in reducing pain and improving function in patients with overweight or obesity with a musculoskeletal diagnosis compared with musculoskeletal interventions alone? Condition being studied: Full health economic evaluations which investigate weight reduction programs alone or in combination with musculoskeletal treatment for the treatment of overweight or obese individuals with a musculoskeletal diagnosis. Information sources: Abstract, cost of illness studies, study protocols, congress proceedings, grey literature, study protocols or non-academic studies are not deemed relevant. In addition, systematic reviews and meta-analyses are excluded.
Penyuluhan Penyakit Diabetes Melitus Dan Pemeriksaan Kesehatan Di Dusun I Desa Kolam Kecamatan Percut Sei Tuan
Authors: Nasution Muhammad Amin , Nia Novranda Pertiwi  , Hindri Syahputri
Published: November 2022

Kesehatan merupakan faktor penting dalam kehidupan seseorang agar dapat beraktivitas setiap harinya. Kesibukan serta sarana transportasi yang memadai untuk menunjang aktivitas sehari-hari menyebabkan sebagian orang kurang melakukan gerakan fisik dan  berolahraga,  sehingga mengakibatkan  proses metabolisme tubuh menjadi terganggu, hal tersebut merupakan sebagian dari faktor yang mendukung terjadinya penyakit diabetes melitus. Diabetes Melitus (DM) merupakan penyakit gangguan metabolik menahun dan  juga menjadi masalah kesehatan di masyarakat paling utama karena komplikasinya bersifat jangka pendek dan jangka panjang. Oleh karena itu perlu diadakannya penyuluhan dan edukasi kepada masyarakat terkhusus di dusun I desa kolam terkait dengan penyakit diabetes melitus dengan tujuan memberikan tambahan pengetahuan mengenai diabetes melitus baik cara pencegahannya dan penanganannya bagi yang telah terkena diabetes melitus. Metode yang digunakan dalam kegiatan ini dengan memberikan penyuluhan berupa ceramah interaktif dalam bentuk presentase kepada masyarakat. Selain itu, pada acara ini juga dilakukan pemeriksaan Kadar Gula Darah (KGD) gratis bagi masyarakat. Dari hasil kegiatan pengabdian yang dilakukan sebanyak 24 orang peserta diperoleh 7 orang memiliki kadar gula darah diatas normal > 200 mg/dl dan sebanyak 17 orang kadar gula darahnya normal < 200 mg/dl.

 

Kata Kunci: Kesehatan, Diebetes Melitus, Penyuluhan, KGD
The phenomenon of ethno villages in Bosnian rural tourism
Authors: Hudović Kljuno Alma , Halilovic Maida
Published: November 2022

Due to its diverse cultural heritage and rich natural resources, Bosnia is lately becoming more popular among foreign visitors. Currently, many tourists are increasingly focusing on outdoor and rural tourism. To be able to fulfill their needs in terms of accommodation and activities, during the last several years many ethno villages are built throughout the country. The design of such artificial ethno villages often borders on kitsch and does not represent authentic architectural styles of the region. Some of them, as introduced in this paper, tend more towards mass tourism and luxury accommodation offers that are in contradiction to the idea of ecological ethno villages. On the other hand, many villages in the country are partly or entirely abandoned due to the population displacement into cities. This paper aims to compare the touristic offer and quality of the newly constructed ethno villages as a new form of rural tourism with existing, vernacular villages in the country. The research is a comparison study, also addressed by the analytical-historical method with the auxiliary method of the case study which incorporated recordings of site conditions. The focus of this research is the village Idbar and its prospects that offer a solid base for further development of ecological ethno tourism in Bosnia and Herzegovina, which could potentially become one of the leading branches of rural tourism in the country.