bluuebunny/crossref_metadata_2025 huggingface dataset:
Occupational therapy intervention for people with movement disorders and cognitive impairment
Authors: Sychov Sergiy , Syrotynska Olena
Published: March 2024

The article deals with the use of occupational therapy intervention for people with movement disorders and cognitive impairment. The relevance of the research lies in the fact that for many people with movement disorders and cognitive impairment, self-care and limited household activity are difficult even in the conditions of their own home, and it is extremely difficult to visit various institutions for domestic purposes. Therefore, the aim of the study was to substantiate the effectiveness of occupational therapy intervention to avoid pathological and pre-pathological changes in people with movement disorders and cognitive impairment. The research methods used were the analysis of literary sources, occupational therapy observation, questionnaires and conversations with people with movement disorders and cognitive impairment. The sequence of actions of ergotherapeutic intervention in the correction or compensation of movement disorders and cognitive insufficiency of the patient is determined. Recommendations are provided for an ergotherapeutic program, regarding the use of means of rehabilitation for people with movement disorders and cognitive impairment, which includes: treatment of position, joint play, restoration of balance and gait, cardio training, physical exercises, research of individual cognitive functions such as memory, attention, spatial perception etc. The importance of using special technical devices for people with severe diseases of the upper limbs and leg joints who cannot perform self-care is shown. The goal of occupational therapy intervention for cognitive impairment is outlined, which includes achieving maximum self-sufficiency and independence of a person in everyday activities (in the home, work and social environment). The use of occupational therapy intervention in practical activities will help to avoid pathological and pre-pathological changes in people with movement disorders and cognitive impairment and will speed up recovery.
Programming of technical and tactical training of young football players 14-15 years old in the annual cycle of training
Authors: Sobko Serhiy , Sobko Nataliya , Lipchanska Liliya
Published: March 2024

It was found that at any of the stages of long-term football training, there is the preparation of football players for competitive activities, where technical and tactical actions have a significant weighting factor, the mastery of which, a priori, is impossible without planning technical-tactical classes in the training process of young football players. The purpose of the work is to program the technical and tactical training of young football players aged 14-15 in the annual cycle of training. The methodological basis of the research was: theoretical analysis and generalization of the experience of sports practice in matters of technique and tactics, technical and tactical training of young football players; pedagogical methods, the method of surveying football coaches; programmatic approach. The scientific novelty of the study is the creation of an approximate program of technical and tactical training of young football players aged 14-15 in the annual training cycle. With the help of the analysis of scientific and methodical literature, the questionnaire method, the importance of technical and tactical training in the process of development and formation of sportsmanship of young football players for the coaching workshop was determined. Using the advice of V.V. Nikolayenko and M.I. Vorobyov (2023) regarding the quality and effectiveness of the training process aimed at the individual development and education of a creative player, conducting educational and training sessions in the form of games against a heightened emotional background, implementing a phased (gradual) system of technical and tactical training of young football players, developed an indicative program of technical - tactical training for young football players 14-15 years old in the annual cycle of training. Taking into account the recommendations of the Technical Department of the Football Association of Ukraine not to divide the annual cycle of training into periods for young football players up to 15 years of age, a rotation of weekly classes, which had a cyclical nature during the month, was proposed. The program is valid for the "school" period from September to June inclusive.
Physiological and metabolic aspects of adaptation to special physical loads of the organism of sports walkers
Authors: Stankevych Liudmyla , Khmelnytska Yuliia , Tron Ruslan
Published: March 2024

Purpose: to evaluate the efficiency of the use of interval training loads by athletes specialising in race walking in different periods of training using biochemical and physiological indicators. Methodology. In solving the tasks of increasing the functionality of training of the organism of sports walkers, the progressive method of training, which is aimed at improving special endurance through the use of certain physical activities, is crucial, taking into account specific periods of training. Their rational use contributes to the growth of functional capabilities and metabolism, which ensures the growth of sports performance. According to the literature, interval training loads are one of the most effective ways to accelerate speed potential and special speed endurance in cyclic sports. The interval training method is characterised by the repeating of physical exercises in a strict sequence, where the intervals are planned in advance, and the speed of passing certain distance segments with a strictly regulated break - a rest interval - is also provided for. At the same time, the interval training method can be composed with little changes, where rest intervals can vary in time, and the length can be variable, increasing with each subsequent segment. The value of this method, according to the literature, is that it increases the heart's capacity almost twice as fast as by covering distances using the continuous method. Scientific novelty. In addition to the available scientific data, we proposed the effectiveness of the use of interval training loads in the preparatory and competitive period. Conclusions. The tasks of our researches were the analysis of efficiency of the use of interval training loads (2000m x7 times) and performance of tempo work of 10 km of specially-preparatory and competitive periods. It was established that the use of interval training, accompanied by the accumulation of lactate up to 12 mmol·l-1 in the blood and an increase in heart rate over 180 beats∙min -1, leads to an improvement in sports result, which indicates an improvement in the speed capabilities and high-speed endurance of athletes in the competitive period compared to the preparatory period. The used interval loads confirm the correct choice of the training load programme, which has shown its effectiveness in the competitive period of training in comparison with the preparatory period: it contributed to the improvement of test results, speed capabilities and high-speed endurance of athletes.
Diagnostic and prognostic markers of morphofunctional heart state impairment and long-term persistence of heart failure in patients with myocarditis
Authors: Cherniuk S. V. , Marchenko K. S.
Published: March 2024

The problem of myocarditis, has gained special relevance in recent years, therefore, the search for new diagnostic and prognostic markers of the disease unfavorable course is expedient for the timely appointment of optimal drug therapy, strengthening of regimen measures and adequate monitoring of the patient’s clinical condition. The purpose of the study: to establish laboratory and instrumental markers of morphofunctional heart state impairment and to develop a mathematical model for early prediction of long-term heart failure persistence in patients with myocarditis. We included 80 patients with acute myocarditis with a severe course and reduced left ventricular ejection fraction (LVEF) – ≤40 %. Assessment of laboratory and instrumental indicators was carried out in the 1st month from the onset of symptoms, after 6 and after 12 months of observation. All patients underwent for immunological studies, 24-hour ECG monitoring, echocardiography with speckle-tracking and cardiac magnetic resonance imaging. After 12 months of follow-up frequency of adverse cardiovascular events (ACE) was assessed. Statistical processing included Student’s t-test for comparison of mean values, binary logistic regression and ROC analysis, discriminant analysis. A set of morphofunctional instrumental indicators determined during the 1st month from the onset of myocarditis, which can serve as predictors of cardiovascular events during the next 12 months, was established: left ventricular ejection fraction ≤30 %; indicator of longitudinal global strain ≤7.0 %; the presence of paroxysms of non-sustained ventricular tachycardia; the presence of inflammatory changes in ≥6 segments and delayed contrast enhancement in ≥5 segments of the left ventricle. A mathematical model has been created, with the help of which it is possible to predict the adverse course of the disease with long-term (at least 12 months) persistence of heart failure already within the 1st month from the onset of myocarditis.
The influence of chronic hyperhomocysteinemia on the structure and immune processes of the spleen in young rats
Authors: Dzevulska I. V. , Gritsenko A. S. , Tymoshenko I. O. , Zakalata T. R. , Lavrinenko V. Y. , Smolko D. G. , Gunas I. V.
Published: March 2024

Homocysteine is a sulfur-containing amino acid that is an intermediate product of methionine metabolism. Entering the body with products of animal origin, methionine undergoes a number of biochemical transformations. Hyperhomocysteinemia has a negative effect on the body, causing damage to all organs and systems and leading to disruption of homeostasis. The study aims to study the characteristics of changes in the structure and immune processes of the spleen of young rats with chronic hyperhomocysteinemia. Experiments were performed on 22 white male rats. The animals were divided into control and experimental groups (11 individuals in each group) during the experiment. Chronic hyperhomocysteinemia was achieved by administering D, L-thiolactone homocysteine hydrochloride to experimental group animals at a dose of 200 mg/kg of body weight intragastrically in a 1 % starch gel solution once a day for eight weeks. After the end of the experimental simulation of chronic hyperhomocysteinemia, the animals were removed from the experiment by anaesthetising by decapitation and using thiopental anaesthesia. Histological preparations were studied using an SEO SСAN light microscope. Experimental modelling of chronic hyperhomocysteinemia in young rats was not accompanied by significant morphological changes in the stroma and red pulp of the spleen. T-cell periarterial sheaths and B-cell nodules in animals from the experimental group underwent changes. B-cell proliferation leads to growth within the white pulp, expansion of the marginal zones, which become more blurred and infiltration of these cells into the red pulp. Evaluation of the red pulp in the spleen of young rats from the experimental group showed a particular expansion in the venous sinuses, which may be a sign of reaction to the influence of homocysteine and slight swelling of these vessels. The number of T-cells in young animals in the periarterial cuffs is slightly reduced, which can be explained by the increasing activity of macrophages. However, T-cells also infiltrated the red pulp. Such penetration of white blood cells into the red pulp is accompanied by the expansion and “washing out” of the marginal zones of lymph nodes. Thus, the increased homocysteine level significantly potentiated proliferation and partially inhibited apoptosis in T-lymphocytes but did not directly affect dormant T-cells.
Game-Changing Technological Advancements for Next-Gen Space Exploration
Authors: Ackerson Thomas N.
Published: March 2024

Several key materials processes and techniques positively impact weight reduction and reusability of parts designed for travel to the moon, Mars, and beyond. This article addresses how advances in technologies such as additive manufacturing, friction stir welding, and surface analysis, can help further enhance design and fabrication of space systems.
Heat Treatment in the Era of Industry 4.0
Authors: Buzzi Paolo
Published: March 2024

Getting connected and using data for operations and maintenance decisions is a great place to start when implementing Industry 4.0 concepts. This article reviews the steps that heat treaters must take toward adopting this technology, with an emphasis on implementing or enhancing predictive maintenance capabilities.
Microstructural Evolution and Mechanical Properties in Simulated Heat Affected Zone Regions of Grade 91 Welds
Authors: Stritch Kyle , Alexandrov Boian T.
Published: March 2024

Grade 91 steel has been found to be susceptible to Type IV cracking in the base metal heat affected zone (HAZ). In order to better understand this type of failure, a study on the metallurgical reactions occuring within the HAZ was conducted, particularly within the fine grained (FG) and intercritical (IC) regions where Type IV cracking is most commonly found to occur. The course grained (CG), FG and IC regions of the HAZ in Grade 91 steel were simulated using a Gleeble 3800 Thermo-Mechanical Simulator. A dilatometer was used to determine the phase transformations occuring during simulation of weld thermal histories. For the first time, it was shown that ferrite can form in the IC HAZ of Grade 91 steel welds. The magnitude of the ferrite transformation was observed to decrease with faster cooling rates. The presence of ferrite in the simulated IC HAZ microstructure was shown to decrease the high temperature tensile strength and increase the high temperature elongation compared to HAZ regions that did not undergo ferrite transformation. Welding parameters such as heat input, preheat and interpass temperature can be selected to ensure faster cooling rates and reduce or potentially avoid formation of ferrite in the IC HAZ.
Microstructural Evolution and Steam Oxidation Resistance of Field-Tested Thor 115 Steel
Authors: Ferrara A. , Ortolani M. , Escorza E. , Scardi P. , D'Incau M.
Published: March 2024

A new ferritic steel branded as Thor 115 has been developed to enhance high-temperature resistance. The steel design combines an improved oxidation resistance with long-term microstructural stability. The new alloy was extensively tested to assess the high-temperature time- dependent mechanical behavior (creep). The main strengthening mechanism is precipitation hardening by finely dispersed carbide (M23C6) and nitride phases (MX). Information on the evolution of secondary phases and time-temperature-precipitation behavior of the alloy, essential to ensure long-term stability, was obtained by scanning transmission electron microscopy with energy dispersive spectroscopy, and by X-ray powder diffraction on specimens aged up to 50,000 hours. The material behavior was also tested in service conditions, to validate the laboratory results: Thor 115 tubing was installed in a HRSG power plant, directly exposed to turbine flue gasses. Tubing samples were progressively extracted, analyzed and compared with laboratory specimens in similar condition. This research shows the performance of Thor 115 regarding steam oxidation and microstructure evolution up to 25,000 exposure hours in the field. So far, no oxide microstructure difference is found between the laboratory and on field tubing: in both cases, the oxide structure is magnetite/hematite and Cr-spinel layers and the oxide thickness values lay within the same scatter band. The evolution of precipitates in the new alloy confirms the retention of the strengthening by secondary phases, even after long-term exposure at high temperature. The deleterious conversion of nitrides into Z phase is shown to be in line with, or even slower than that of the comparable ASME grade 91 steel.
Microstructural Analysis of Service Exposed IBN1 MarBN Steel Boiler Tubing
Authors: Lockyer Scott , Jepson Mark , Xu Xu , Philpott Will
Published: March 2024

Extensive research and development has been undertaken in the UK on MarBN steels. These were first proposed by Professor Fujio Abe from NIMS in Japan. Within the UK, progress has been made towards commercialisation of MarBN-type steel through a series of Government funded industrial collaborative projects (IMPACT, IMPEL, INMAP and IMPULSE). As part of the IMPACT project, which was led by Uniper Technologies, boiler tubes were manufactured from the MarBN steel developed within the project, IBN1, and installed on the reheater drums of Units 2 and 3 of Ratcliffe-on-Soar Power Station. The trial tubes were constructed with small sections of Grade 91 tubing on either side of the IBN1 to allow direct comparison after the service exposure. This is the world’s first use of a MarBN steel on a full-scale operational power plant. In September 2018 the first tube was removed having accumulated 11,727 hours operation and 397 starts. This paper reports microstructural and oxidation analysis, that has been undertaken by Loughborough University as part of IMPULSE project, and outlines future work to be carried out.
Influence of Unique Layered Microstructure on Mechanical Properties of TiAl-Based Alloys Prepared by Electron Beam Melting
Authors: Cho Ken , Sakata Masahiro , Oh Jong Yeong , Yasuda Hiroyuki Y. , Todai Mitsuharu , Ikeda Ayako , Ueda Minoru , Takeyama Masao , Nakano Takayoshi
Published: March 2024

Electron beam melting (EBM) is one of the candidate manufacturing processes for TiAl alloys which have been considered as next generation high-temperature structural materials. The microstructure and mechanical properties of Ti-48Al-2Cr-2Nb (48-2-2) alloy bars fabricated using EBM were investigated, with a particular focus on the effect of processing parameters such as input energy density and building direction. We observed that the microstructure of the alloy bars fabricated using EBM depends strongly on the processing parameters used during the fabrication process of alloy. In particular, the alloy bars fabricated under appropriate processing parameters have a unique layered microstructure composed of duplex regions and equiaxed γ-grain regions (γ bands). Because of their fine microstructure and deformable soft γ bands, the alloy bars with the unique layered microstructure exhibit higher strength and higher ductility at room temperature (RT) than that of cast alloys. In addition, the alloy bars fabricated at an angle between the building direction and the loading axis of 45° show good fatigue properties at RT even without hot isostatic pressing treatment.
The Status of Continued Development of Heavy Section Castings in 9%Cr Steels and Nickel Alloys for High Temperature Applications
Authors: Roberts Steve , Leese Ryan , Birks Steve
Published: March 2024

To meet worldwide emission targets many Government policies either avoid the use of coal burning plant for future energy production, or restrict emissions per kilogram of coal consumed beyond the capability of most conventional plant. As a result this has accelerated current worldwide developments of steel and nickel alloys for coal-fired plant to operate at temperatures in excess of 625°C. Within the UK a modified 9%Cr steel has been developed which is based on the MarBN steel first proposed by Professor Fujio Abe of NIMS Japan, and has been designated IBN-1. The steel is modified by additions of, typically, 3% cobalt and tungsten with controlled additions of boron and nitrogen. While development of 9%Cr steels has continued since the last EPRI high temperature material conference in 2016 (Portugal), parallel developments in nickel alloy castings for even higher temperature and pressure applications have also continued. This paper summarises the latest developments in both of these material types.
Microstructure Effect on Enhancement of Room-Temperature Ductility in β-Ti Containing γ-TiAl Based Alloys
Authors: Yamagata Ryosuke , Okada Yotaro , Nakashima Hirotoyo , Takeyama Masao
Published: March 2024

Effects of microstructure constituents of α2-Ti3Al/γ-TiAl lamellae, β-Ti grains and γ grains, with various volume fractions on room-temperature ductility of γ-TiAl based alloys have been studied. The ductility of the alloys containing β phase of about 20% in volume increases to more than 1% as the volume fraction of γ phase increases to 80%. However, γ single phase alloys show very limited ductility of less than 0.2%. Microstructure analysis have revealed that intragranular fracture along γ/γ grain boundary occurred in γ single phase alloy whereas it does not along β/γ interphase in alloys containing β phase. In addition, local strain accumulations along β/γ interphase have been confirmed. The present results, thus, confirmed the significant contribution of β phase, especially the existence of β/γ interphase to enhancement of the room-temperature ductility in multicomponent TiAl alloys.
Governança Corporativa, Compliance e a Atuação do Chief Compliance Officer: Relação Entre Direito e Sustentabilidade Empresarial
Authors: Ryndack Jaqueline Maria , De Oliveira Lourival José
Published: March 2024

No presente trabalho busca-se defender a implantação da Governança Corporativa e do Compliance como meios para a efetivação dos Direitos Fundamentais. Por meio da utilização da metodologia de pesquisa bibliográfica, assentada no método hipotético dedutivo, iniciamos expondo o que é Governança Corporativa e seus pilares, detalhamos a pilastra Compliance e a atuação do Chief Compliance Officer. Percebe-se que o Compliance é a adoção de um procedimento por parte das empresas com fulcro em cumprir mecanismos de controle que previnam os riscos da prática de infrações ligadas às atividades empresariais, ao criar códigos internos de cumprimento normativo e implementação do respectivo cumprimento com rotinas de controle, bem como, Chief Compliance Officer cumpre o papel de profissional da ética empresarial, sendo atribuído o dever de criar, gerenciar, fiscalizar e instituir o programa de integridade; e ainda, a responsabilidade sobre o dever de vigilância, controle e comunicação das irregularidades ao conselho ou diretores.
Benefícios Fiscais: Proibição de Vantagem em Decorrência de Patrocínio ou Doação
Authors: Correia Neto Celso de Barros
Published: March 2024

The article analyzes the prohibition of receiving an advantage due to sponsorship or donation, present in several tax incentive laws. Based on the legislation that regulates Law No. 8,313, of December 23, 1991, Law No. 11,438, of December 29, 2006, and Law No. 12,715, of September 17, 2012, the study proposes a reading systematized prohibition, as a legal principle structuring tax incentives that authorize the deduction of sponsorships or donations intended for third parties.
Correlation of Non-Financial Compensation and Work Loyalty of Administrative Employees at Madrasah Aliyah Negeri in Bandung
Authors: Sulhan Moh. , Gustini Neng , Sambella Mutiara , Hali Ali Usman
Published: March 2024

This study aimed to 1) identify the description of non-financial compensation at the State Aliyah Madrasah in Bandung, 2) describe administrative work loyalty at the State Aliyah Madrasah in Bandung, and 3) analyze the relationship between non-financial compensation and the work loyalty of administrative employees at the State Aliyah Madrasah in Bandung. This study employs a quantitative approach with ex post facto methods. The sample consists of 39 administrative employees selected using a non-probability sampling method with a purposive sampling technique. Data collection was conducted through questionnaires, and the data analysis technique utilized the SPSS 26 program. The results indicate that the non-financial compensation variable received an outstanding respondent's response of 88.17%, with the Reality (X) Non-financial compensation variable falling into the "Very High" category due to its interval range of 4.20-5.00 and obtaining a value of 4.40. The Reality variable (Y), Job Loyalty, also falls into the "Very High" category, with an interval range of 4.20-5.00 and a value of 4.33. The correlation coefficient value is 0.612, indicating a strong positive relationship as it falls within the range of 0.61 – 0.80.
The Role Of The Constitutional Court In Testing The Presidential Threshold Law For The 2024 Presidential Election
Authors: Maksum Maksum , Hamid Abdul
Published: March 2024

Objective study This is for know The Role of the Constitutional Court in Reviewing the Presidential Threshold Law for the 2024 Presidential Election As for the method study This is a qualitative study, and research qualitative is a research method used to understand social phenomena in depth. As for the type of research used by the researcher, i.e., studies, usage studies, because the researcher can understand in a way the deep context, process, and complexity of the phenomenon researched. The research results show that the Constitutional Court has the responsibility to ensure that the presidential threshold requirements are in accordance with the constitution and the basic principles of democracy. Controversial cases in various countries and the challenges associated with presidential threshold testing demonstrate the complexity and controversy involved in these arrangements.
Keseimbangan Perlindungan Hukum Kreditor dan Debitor Dalam Pinjaman Online
Authors: Riswandie Iwan
Published: March 2024

Pinjaman online merupakan mekanisme perbuatan hukum yang berkembang seiring dengan perkembangan teknologi di masyarakat dengan menawarkan kemudahan dari berbagai aspek terhadap hubungan yang terjadi. Hanya saja di samping dengan berbagai kemudahan yang ditawarkan kepada para pihak (kreditor sebagai peminjam dan debitur sebagai pihak yang melakukan pinjaman) dimana hubungan yang terjadi didasari atas kesepakatan (kebebasan berkontrak) tidak jarang hubungan ini menimbulkan dampak signifikan yang cukup meresahkan masyarakat, sehingga hubungan hukum yang saling menguntungkan tersebut harus diintervensi oleh negara dalam kerangka memberikan perlindungan kepada para pihak yang ada didalamnya. Keseimbangan Perlindungan Hukum Kreditor dan Debitur Dalam Pinjaman Online”. Metode yang dipakai ialah melalui analisis hukum dan konsep, dengan menggunakan norma-norma yang ada dan landasan perundang-undangan. Pada akhirnya, kesimpulan dari tulisan ini yaitu adalah pinjaman Online yang mengakomodir perkembangan teknologi dimana Kreditor (pemberi pinjaman) dan debitur (penerima pinjaman) terjadi hak dan kewajiban dari para pihak yang dilandasi hukum perjanjian diwilayah privat, dimana kesepakatan para pihak adalah merupakan Undang-Undang bagi yang membuatnya. Kondisi yang dilandasi dengan koridor kesepakatan tentunya akan membawa dampak yang signifikan terhadap kewajiban pemenuhan hak dan kewajiban Kreditor dan debitur sama-sama dalam kondisi yang tidak menguntungkan apabila hak dan kewajiban tersebut tidak dilakukan, sehingga dalam hal ini perlu regulasi dari instrumen hukum (perundang-undangan) untuk bisa membawa hak dan kewajiban masing-masing pihak ke ranah publik dengan tetap memberikan kebebasan dalam wilayah teknis untuk diatur atas dasar kesepakatan yang sudah di perjanjian dalam pinjaman berbasis Online ini.
Revolutionizing MSMEs: The Impact of Mobile Payment Readiness through TOE Framework
Authors: Aprisca Devtania Putri , Aligarh Frank
Published: March 2024

This study seeks to examine the influence of the Technology, Organization, and Environment (TOE) Framework on the adoption of mobile payments and its consequential impact on firm performance. Employing a purposive sampling technique, data analysis was conducted using Structural Equation Modeling-Partial Least Square (SEM-PLS). Questionnaires served as the primary data collection method and were distributed among 202 micro, small, and medium enterprises (MSMEs) in Surakarta City. The results underscore that TOE Framework factors, encompassing relative advantage, compatibility, innovativeness, and competitive pressure, wield a positive and significant influence on the adoption of mobile payments. Nevertheless, mobile payment knowledge and external support were found to have no substantial effect on mobile payment adoption. Notably, the study establishes a positive and significant relationship between mobile payment adoption and firm performance. These findings contribute valuable insights for businesses aiming to leverage mobile payment technologies to enhance overall performance in the contemporary business landscape.
FUNCTIONAL ACTIVITY OF PLATELETS FOR THE PATIENTS WITH CHRONICAL GENERELIZED PERIODONTITIS AND CORRECTION OF THE HYPERAGREGATIONAL CHANGES IN THE COMPLEX TREATMENT BY THE GINKGO BILOBA EXTRACT
Authors: Pavelko N.M. , Tarnavska L.V. , Kimak H.B. , Dombrovych V.S.
Published: March 2024

The presented results determine the functional activity of platelets in 35 patients diagnosed with chronic generalized periodontitis (CGP). Dystrophic changes in the periodontium were assessed by measuring pathological periodontal pockets and the Ramfjord index. The level of inflammation in periodontal tissues was determined by PMA and PBI indices.

The evaluation of platelet functional activity in patients with CGP was conducted before and after combined treatment, including the administration of "Tanakan" (orally 120mg/day for 1 month). It was observed that an increase in adhesive-aggregational platelet function is typical for periodontal patients (degree of aggregation% and rate of aggregation%). Additionally, the parallel investigation of coagulation hemostasis in this patient group showed no significant changes in clotting time of plasma citrate. It was found that the prescribed "Tanakan" medication promotes inhibition of platelet aggregational activity, thus improving microcirculation in periodontal pathology.
NLP TRANSFORMERS: ANALYSIS OF LLMS AND TRADITIONAL APPROACHES FOR ENHANCED TEXT SUMMARIZATION
Authors: Işıkdemir Yunus Emre
Published: March 2024

As the amount of the available information continues to grow, finding the relevant information has become increasingly challenging. As a solution, text summarization has emerged as a vital method for extracting essential information from lengthy documents. There are various techniques available for filtering documents and extracting the pertinent information. In this study, a comparative analysis is conducted to evaluate traditional approaches and state-of-the-art methods on the BBC News and CNN/DailyMail datasets. This study offers valuable insights for researchers to advance their research and helps practitioners in selecting the most suitable techniques for their specific use cases.
PERFORMANCE INVESTIGATION OF A 5 MW PHOTOVOLTAIC SYSTEM: ALFASHIR SUDAN
Authors: Ali Abdalftah Hamed , Najafı Atabak
Published: March 2024

This study comprehensively analyzes the operational performance and economic feasibility of a 5MW grid-connected photovoltaic in Sudan over a two-year monitoring period. Leveraging the capabilities of PVSyst software, the actual plant performance was rigorously compared to simulation predictions. Results revealed a significant disparity between observed and simulated energy generation, prompting the exploration of potential areas for enhancement. Seasonal fluctuations in the performance ratio were evident, with peak values during some seasons, albeit not consistently aligning with simulation projections. Despite these challenges, the Plant made a notable impact by reducing CO2 emissions, highlighting the environmental benefits of solar energy. Financial analysis unveiled discrepancies between actual and simulated savings, underscoring the need for optimization and efficiency improvements. The equity payback period, influenced by electricity pricing policies, was estimated at 15 years, emphasizing its role in assessing project economics. The region's high radiation intensity and humidity levels emerged as significant factors affecting plant performance. Addressing these challenges is crucial for maximizing the PV plant's operational efficiency and viability. Our Recommendations include thoroughly examining control system functions during commissioning and improving operational accuracy.
Wanprestasi dalam Perjanjian Pinjam Meminjam Uang pada PT. PNM Mekaar (Studi di Kelurahan Sei Putih Barat Kota Medan)
Authors: Azzahra Lubis Adibah , Syuhada Lubis Mhd. Teguh Syuhada Lubis
Published: March 2024

A money lending and borrowing agreement is an agreement that must be agreed upon by the parties, as well as with PNM Mekaar and customers in Sei Putih Barat Subdistrict, Medan City. Customers who want to borrow money are required to make an agreement that has been made by PNM Mekaar. Of course, there are customers who make loans who default, so this must of course be resolved because it has become an obligation that must be fulfilled. The purpose of this research is to find out agreements for borrowing and borrowing money, to find out the forms of default committed by customers, and to find out the settlement of defaults from PNM Mekaar in Sei Putih Barat Subdistrict, Medan City for customers who make defaults. The method used is to combine normative juridical and empirical juridical. The research results state that the customer must agree to the agreement that has been provided, the contents of the agreement are in the form of obligations that must be fulfilled and the agreement must be agreed upon by the group leader and the person in charge. The form of default that occurred to PNM Mekaar customers, West Sei Putih Village, Medan City, was not making payments on time and there were customers who ran away. The resolution of the default carried out by PNM Mekaar, Sei Putih Barat Subdistrict, Medan City, was to implement a joint and several responsibility payment system, and the group leader tried to find and contact the person in charge of the member who had run away.
Partizipative Klimapolitik. Anforderungen und Aussichten
Authors: Renn Ortwin
Published: March 2024

Klimapolitik ist aufgrund ihrer Komplexität und Reichweite mehr denn je auf innovative Beteiligungsverfahren angewiesen. Mit Hilfe innovativer Formate wie dem analytisch-deliberativen Diskurs, erhalten betroffene Bürger:innen die Gelegenheit, in einem Klima gegenseitiger Anerkennung, sowie des Respekts vor der Legitimität unterschiedlicher Wertesysteme und Präferenzen Probleme neu zu definieren, alternative Handlungsoptionen zu diskutieren und die damit verbundenen Folgen und Implikationen zu bewerten. Solche verständigungsorientierte Diskurse können gerade in der Klimapolitik helfen, komplexe Sachverhalten zu klären, Ziele und Strategien zu reflektieren und gemeinsam eine sach- und wertgerechte Gestaltung der Klimapolitik vorzubereiten.
Learning Submanifold-Specific Normalization and Attention with SPD Matrices for Visual Classification
Authors: Lv Enxu , Tan Hengliang , Du Jiao , Yang Shuo , Yan Guofeng , Zhao Yijian
Published: March 2024

Deep manifold learning has achieved significant success in handling visual tasks by using Symmetric Positive Definite (SPD) matrices, particularly within multi-scale submanifold networks (MSNet). This network is capable of extracting a series of main diagonal submatrices from SPD matrices. However, these submanifolds do not take into account the distribution of the submanifolds themselves. To address this limitation and introduce batch normalization tailored to submanifolds, we devise a submanifold-specific normalization approach that incorporates submanifold distribution information. Additionally, for submanifolds mapped into Euclidean space, considering the weight relationships between different submanifolds, we propose an attention mechanism tailored for log mapped submanifolds, termed submanifold attention. Submanifold attention is decomposed into multiple 1D feature encodings. This approach enables the capture of dependencies between different submanifolds, thus promoting a more comprehensive understanding of the data structure. To demonstrate the effectiveness of this method, we conducted experiments on various visual databases. Our results indicate that this approach outperforms the MSNet.
Multi-Label Calibration Memory Support Vector Machine
Authors: Ma Yan , Wang Zhen , Bai Lan
Published: March 2024

Although Rank SVM and its derivative model a novel support vector machine for multi-label classification (SVM-ML) have achieved very good results in multi-label classification problems, neither of these models can achieve zero empirical risk on the training set. Drawing on the memory mechanism used in binary SVM to solve this problem, we propose the MCMSVM model. The experimental results confirm the superiority of MCMSVM in performance on small datasets.
A Lightweight Convolutional Network for Visual Tracking
Authors: Wang Jian , Lv Yaotang , Zhang Kun , Lv Yaotang , Wu Xiaogang , Chen Xingwang , Zi Chengwang
Published: March 2024

Regression trackers have been shown to perform superiorly in visual tracking. However, existing researches in regression trackers mainly explore deep models for feature extraction, and then use sophisticated architectures for online detection. Such systems should optimize a massive number of trainable parameters. In this paper, we present a simple yet effective visual tracking system, called LiteCNT. Our algorithm only consists of three convolutional layers for the whole tracking process. In addition, a multi-region convolutional operator is introduced for regression output. This idea is simple but powerful as it enables our tracker to capture more details of target object. We further derive an efficient and effective operator to approximate multi-region aggregation.
On the Knowledge-Based Study of All Semilattices of Waterloo Automaton
Authors: Abramyan Mikhail , Melnikov Boris
Published: March 2024

The aim is to study the set of subsets of grids of Waterloo automaton and the set of covering automata defined by the grid subsets. The study was carried out using the library for working with nondeterministic finite automata NFALib implemented by one of authors (M. Abramyan) in C#. The results are regularities obtained when considering semilattices of covering automata for Waterloo automaton. A complete description of the obtained semilattices from the point of view of equivalence of the covering automata to the original Waterloo automaton is given, the criterion of equivalence of the covering automaton to Waterloo automaton in terms of properties of the subset of grids defining the covering automaton is formulated. The relevance of the subject area under consideration is due to the need to research of a set of regular languages and, in particular, description of their various subclasses. Also relevant are the problems that may arise in some subclasses. This will give, among other things, the possibility of describing new algorithms for the equivalent transformation of nondeterministic finite automata.
An Empirical Analysis of Factors Influencing Human-Computer Interaction in Digital Learning: Perceived Value, Flow Experience, and Sustained Usage Behavior
Authors: Liang Zhenjie , Liu Shitou , Zhang Ling
Published: March 2024

With digital learning as the background, this paper employs Python, and other technical means to study the impact of human-computer interaction on student learning behaviors, providing technical support for digital education decision-making. The study uses questionnaire surveys to collect student data on human-computer interaction in the learning process, and utilizes Python to conduct statistical analysis, correlation analysis and regression analysis to explore the impacts of perceived value and flow experience on sustained usage intention, validate the research model, and emphasize the importance of optimizing human-computer interaction and focusing on student needs for successful learning. Technical innovation lies in applying Python and other means to demonstrate the impact of human-computer interaction on student learning behaviors, providing technical support for the digital transformation decision-making in education. Starting from the customer value perspective, this study focuses on improving students’ learning experience, and provides theoretical and practical references for student-centered digital transformation in education.
Simulation Driven Intelligent Business Data Analysis and Decision-Making
Authors: Wang Yan , Dai Peihui
Published: March 2024

This paper builds a neural network decision model based on back propagation neural network and deep Q-learning algorithm, studies intelligent business data analysis and decision-making driven by simulation technology, conducts decision model training by collecting actual business data and simulating business data, improves the accuracy and efficiency of decision output, completes real-time business data update decision-making, and provides decision-making basis for business operation.
Research on Automatic Value Identification of Pointer-Type Pressure Gauge Based on Machine Vision
Authors: Hu Peng , Zhu Xiaole , Sun Leyuan , Weng Yinjian , Chang Xiangwei
Published: March 2024

In order to reduce the workload of staff, break through the data isolation between the front and back ends and enhance the foundation of intelligent construction, Research is carried out on pointer-type pressure gauge which is installed on the gas distribution cabinet based on machine vision to realize the automatic value identification of pointer-type pressure gauge. Using YOLOv3 deep learning framework, the recognition model of multi-pressure gauges under complex conditions is trained, and the automatic extraction algorithm of key information of pointer-type pressure gauges is designed by using the universal structural characteristics of pointer-type pressure gauge. The algorithm we proposed is used to extract and recognize the pointer-type pressure gauge on image and give a reading result automatically. We evaluate the model and calculate the accuracy in a video of pointer-type pressure gauge with changing reading. The calculation and analysis results show that the accuracy of the pressure gauge recognition model established in this paper is 100 % in 66 test pictures, and there is no error detection and missed detection. The dynamic video analysis on pressure gauge with range of 2.5MPa shows that the maximum error of the readings is 0.052 MPa, and the average error is less than 0.01 MPa. Our algorithm is implemented in Python language, which is convenient for the deployment of domestic equipment and has certain popularization and application value in future.
Intelligent Control of Character for AR-Based Remote Psychological Counseling System
Authors: Bao Yihua , Song Zhen , Weng Dongdong , Liu Yue , Su Mo , Chen Junyu
Published: March 2024

As living standards escalate, the need to prioritize psychological and mental health has become increasingly clear. Traditional psychological counseling, constrained by fixed locations and schedules, cannot adequately meet the growing demand for informatization and intelligence. To overcome these constraints, we developed an Intelligent Control Auxiliary System (ICAS) for use in an Augmented Reality (AR)-based remote psychological counseling setting. A comparative experiment was conducted to assess the efficacy of ICAS against the system powered by motion capture technology, with participation from eight licensed psychological counselors who carried out system operations and contributed their professional insights. Most counselors recognized the superior convenience of the intelligent control mode when operating the remote psychological counseling system. Demonstrating similar effectiveness to traditional motion capture control systems, ICAS suggests a promising new pathway for remote counseling methodologies.
Multi-Feature Fusion Graph Convolutional Network Based on Domain Adaptation for EEG Emotion Recognition
Authors: Yi Yufan , Xu Yiping , Hu Xinli , Tian Yan
Published: March 2024

Emotion recognition based on EEG signals facilitates the timely detection of changes in the emotional state of personnel. However, due to personal differences, it is not easy to use the model trained on one individual directly for the emotion recognition of other users. Meanwhile, the current primary EEG signal acquisition devices are 62-conductor acquisition caps, which need to be more convenient and efficient in practical use. For this reason, we propose a graph convolutional network with multi-feature fusion and use the domain adaptation module to improve the model’s adaptability. The multi-feature fusion is also used to improve the multi-feature information of the model. Many experiments show that our proposed method improves the accuracy by 25.7% and reduces the electrodes by 97%.
The Prosthetic Hand Can Grasp Occluded Objects with the Help of 3rd-Eye Based on Artificial Vision and AR Technology
Authors: Shi Chunyuan , Zhao Jingdong
Published: March 2024

Grasping occluded objects is a large challenge for hand amputees because of the hand’s perception loss. This paper proposed an alternative approach based on artificial vision and augmented reality technology, termed 3rd-Eye, to solve the problem. In detail, a live stream of an RGB camera attached to the prosthetic hand was presented to the user who wore an augmented reality helmet, HoloLens 2. The 3rd-Eye was integrated into a hybrid control prosthetic system (i-MYO proposed in our previous work). It was tested in a special reach-and-grasp experiment where the subject needed to grasp an occluded object in cluttered environments (one to six objects in total) using the prosthetic hand. The new approach has achieved satisfactory results (success rate: 100% in all).
An empirical analysis of evolutionary computing approaches for IoT security assessment
Authors: Kumar Sahu Vinay , Pandey Dhirendra , Singh Priyanka , Haque Ansari Md Shamsul , Khan Asif , Varish Naushad , Khan Mohd Waris
Published: March 2024

The Internet of Things (IoT) strategy enables physical objects to easily produce, receive, and exchange data. IoT devices are getting more common in our daily lives, with diverse applications ranging from consumer sector to industrial and commercial systems. The rapid expansion and widespread use of IoT devices highlight the critical significance of solid and effective cybersecurity standards across the device development life cycle. Therefore, if vulnerability is exploited directly affects the IoT device and the applications. In this paper we investigated and assessed the various real-world critical IoT attacks/vulnerabilities that have affected IoT deployed in the commercial, industrial and consumer sectors since 2010. Subsequently, we evoke the vulnerabilities or type of attack, exploitation techniques, compromised security factors, intensity of vulnerability and impacts of the expounded real-world attacks/vulnerabilities. We first categorise how each attack affects information security parameters, and then we provide a taxonomy based on the security factors that are affected. Next, we perform a risk assessment of the security parameters that are encountered, using two well-known multi-criteria decision-making (MCDM) techniques namely Fuzzy-Analytic Hierarchy Process (F-AHP) and Fuzzy-Analytic Network Process (F-ANP) to determine the severity of severely impacted information security measures.