bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Sistem Imbalan, Otonomi Pekerjaan dan Lingkungan Kerja Terhadap Kinerja Karyawan Pada Perusahaan Pembiayaan Sepeda Motor Di Kota Batam
Authors: Se Hyronimus , Timba Tobias
Published: July 2023

Penelitian ini bertujuan untuk menganalisis ada tidaknya pengaruh sistem imbalan, otonomi pekerjaan dan lingkungan kerja terhadap kinerja karyawan pada perusahaan pembiayaan sepeda motor di Kota Batam. Populasi dalam penelitian ini adalah karyawan perusahaan pembiyaan yang berlokasi di Kota Batam yang berjumlah 460 orang dengan jumlah sampel sebanyak 214 responden  yang tersebar di perusahaan pembiayaan yang ada di Kota Batam. Teknik pengambilan sampel menggunakan simple random sampling.Teknik analisis data menggunakan SPSS 18.0 for windows. Hasil penelitian menunjukkan sistem imbalan tidak signifikan terhadap kinerja karyawan sedangkan otonomi pekerjaan dan lingkungan kerja berpengaruh signifikan terhadap kinerja karyawan.
PENGARUH KEBIJAKAN ALOKASI ASET DAN TINGKAT RISIKO TERHADAP KINERJA REKSA DANA DI INDONESIA (PERIODE 2016-2018)
Authors: Yudhistira Ahmad Hanif Dinsri , Putra R. Aditya Kristamtomo
Published: July 2023

This study aims to determine, explain and analyze the effect of asset allocation policies and risk levels on the performance of Islamic mutual funds in Indonesia (Period 2016-2018). The independent variable in this study is the Asset Allocation Policy and Risk Level, while the dependent variable in this study is the Performance of Sharia Mutual Funds. The sample selection technique used purposive sampling and used 10 samples of Islamic mutual funds. The method used to calculate the performance of Islamic mutual funds is the Sharpe Ratio. The method used is quantitative methods with descriptive approach to the verification by descriptive statistical tests, classic assumption, multiple linear regression analysis, coefficient of determination, and hypothesis testing using Software SPSS 16. The results show that asset allocation policy variables and the level of risk has a positive and significant impact on the performance of Islamic mutual funds registered with the OJK and still active in the 2016-2018 period. The coefficient of determination test results show that the value of Adjusted R Square is 0.461. The results of 46.1% state that the independent variable can explain the dependent variable, while the remaining 53.9% is explained by other factors not examined in this study.
PEMBERDAYAAN MASYARAKAT DALAM MENINGKATKAN SEMANGAT KEWIRAUSAHAAN DI DESA SEBENTE
Authors: Usman Usman , Hapsari Veneranda Rini , Ayustia Rissa
Published: July 2023

The problem of poverty is not only due to the pressure of economic factors but there are other factors that are more influential, namely the very low human resource factor of farmers. The problems of unemployment and poverty remain problems that have not been resolved properly in the Indonesian government. Unemployment in Indonesia, one of which is the unavailability of jobs for new graduates and lack of adequate human resources. The purpose of this study is to describe how big the role of village heads is in increasing the entrepreneurial spirit for people's lives, in order to improve the welfare of economic life for As a real effort that can be made by the Village Head is to conduct various trainings and assistance for farmers so that they can have skills that they can use, as a provision for them to work. The research method used is descriptive qualitative method. Result: The spirit of service shown by the village head and the approach of a leader figure who is able to provide a good example to the community so that it can influence changes in the mindset of the community itself. Changes in the mindset of the community can occur by conducting a lot of training and mentoring. Conclusion: In this study, the findings are described in several parts: The spirit of service and the approach of a leader who is able to set a good example to the community turns out to influence changes in the mindset of the community for the better. As a solution to the problem of lack of adequate human resources, a lot of training and mentoring can be done.
EXPERIENTIAL LEARNING SEBAGAI MODEL PEMBELAJARAN DALAM MENGOPTIMALKAN MOTIVASI BELAJAR MAHASISWA GUNA MENGHINDARI DO PADA POLITEKNIK NEGERI AMBON
Authors: Andriany Dynne
Published: July 2023

Penelitian ini bertujuan untuk mengetahui pengaruh experiential learning  sebagai model pembelajaran dalam mengoptimalkan motivasi belajar mahasiswa Penelitian ini merupakan penelitian kuantitatif. Metode penelitian yang digunakan adalah Pre- Eksperimental menggunakan One Group Pretest-Posttest Design. Populasi dalam penelitian ini adalah mahasiswa akuntansi semester V kelas A yang mengambil mata kuliah akuntansi keuangan lanjutan pada Politeknik Negeri Ambon. Teknik pengambilan sampel menggunakan cluster random sampling. Sampel yang terpilih yakni kelas A semester V sebagai kelas eksperimen. Instrumen pengumpulan data yang digunakan adalah  tes pilihan ganda (multiple choice) yang diberikan melalui pretest dan posttest dengan menggunakan aplikasi kahoot  . Data hasil penelitian ini dianalisis menggunakan statistik deskriptif dan statistik inferensial yaitu uji-t. Dari hasil penelitian diketahui hasil uji-t thitung sebesar 9,327 > ttabel sebesar 1.708 . maka dapat disimpulkan bahwa terdapat pengaruh yang signifikan terhadap penggunaan experiential learning  sebagai model pembelajaran dalam mengoptimalkan motivasi belajar mahasiswa.
Selected potential pharmaceutical and medical benefits of phenolic compounds: Recent advances
Authors: Elgadir M. Abd , Chigurupati Sridevi , Mariod Abdalbasit Adam
Published: July 2023

Objective: Phenolic compounds are essential for defense reactions, including antioxidant, anti-inflammatory, antidiabetic, anti-proliferative activity, and anti-aging activity. Coming from the class of phytomedicine, they are widespread in the plant kingdom and are commonly taken as substances in the daily diet. They are mainly found in various types of edible plants, especially fruits, vegetables, and tea. Phenolic compounds have been investigated for their effects on human health due to their beneficial effects against oxidative stress activities. The proposed main mechanism of this protective effect against harmful oxidation processes is related to the radical scavenging activity of the phenolic compounds due to reactive oxygen and nitrogen substances. The review uses up-to-date data via manual screening of the titles and abstracts of retrieved articles using string pharmaceutical and medical benefits of phenolic compounds as keywords to obtain publications from the electronic databases PubMed and Google Scholar using the publish or perish tool. However, priority has been given to the scientific papers, reports, and literature issued within the past 5 years.Several types of research have been conducted on phenolic compounds due to their potential pharmacological activities. Dietary intake of phenolic compounds is also associated with reducing the risk of cardiovascular disease, mainly caused by oxidative stress and behavioral risk factors such as alcohol abuse, tobacco use, a high-fat diet, and a sedentary lifestyle. They are effective in fighting against various types of diseases.Conclusion: This review article highlights the currently available information and knowledge on the potential pharmaceutical and health benefits of phenolic compounds.Keywords: Phenolic compounds, flavanoids, Heart disease, Antioxidant, Cancer, Diabetes mellitus
Clinical and Laboratory Profiles of 109 Patients diagnosed as Multiple Myeloma in Erbil City.
Authors: Yassin Ahmed K.
Published: July 2023

Background: Multiple myeloma is characterized by clonal expansion and accumulation of abnormal plasma cells in the bone marrow compartment. This study was conducted to determine the frequency and hematological presentation of multiple myeloma in Nanakaly Hospital in Erbil city.patients and Methods: This descriptive retrospective study was carried out at Nanakaly Hospital over a period of six years from January 2007 to August 2012. A total of 109 patients who were diagnosed with multiple myeloma all were included to analyze the clinical and laboratory profiles. All patients were selected based on preset diagnostic criteria by the WHO.Results: The study showed a male: female ratio of 1:1.1, the mean age of male patients was 57.8 years and for females were 57.9. Backache was the most frequent presentation (41.28%) of the patient then bone pain (33.94%), followed by pallor (10.1%) and bone mass (9.2%). The hematological findings showed anemia in 72% patients. Forty five percent of the bone marrow nucleated cells were plasma cells.Conclusions: Males are affected equally to females by multiple myeloma. Majority of patients present with backache, bone pain and anemia.
The Pro-inflammatory IL6 and serum glucose in Polycystic Ovary Syndrome
Authors: AL-Hadithi Hayfaa S. , Al-Derzi Aida R.
Published: July 2023

Background: Polycystic ovary syndrome (PCOS) is one of the most common female endocrine disorders. PCOS produces symptoms in approximately 5% to 10% of women of reproductive age (12–45 years old).Objective: To detect the level of IL-6 in PCOS patients correlated with their serum glucose.Patients and methods: This is a prospective study carried out at Baghdad teaching hospital in Baghdad/Iraq from November 2011 to January 2012. In this study, 80 blood samples (40 untreated women with PCOS cases and 40 healthy control) were collected to investigate their IL-6 levels by using Enzyme linked immunosorbent assay (ELISA) technique and fasting blood sugar (FBS) by enzymatic assay.Results: Serum IL-6 elevated in PCOS patients mainly those with high blood sugar.Conclusion: Serum IL-6 levels were significantly higher among PCOS women than in healthy group. PCOS patients had high blood sugar when compared to control group. Significant statistical positive association was seen between serum IL-6 level and FBS among study cases.
Einleitung zum Themenschwerpunkt: Demokratieinnovationen, Repräsentation und Politikwandel
Authors: Freier Nora , Mittendorf Volker , Sack Detlef
Published: July 2023

Der Themenschwerpunkt befasst sich mit Demokratieinnovationen, das heißt mit direktdemokratischen Initiativen, Begehren und Entscheidungen wie auch mit dialogischen und deliberativen Verfahren, wie etwa Bürgerräten. Dabei interessieren Fragen der Repräsentation, der Selbstwirksamkeit und der Effekte auf den Policy-Wandel. Der Stand von Demokratieinnovationen zwischen organisatorischer Diffusion und institutionellem Layering wird skizziert. Um die teilweise komplementären, teilweise konkurrierenden Zugänge auf und Analysen von Demokratieinnovationen zu strukturieren, wird eine idealtypische Schablone präsentiert, die die Forschungsperspektiven an der Schnittstelle von „partizipationsorientierter Deliberationsforschung“ einerseits und „prozessorientierter Public-Policy-Forschung“ andererseits darstellt. Nach der Übersicht über die Beiträge des Themenschwerpunktes werden Mehrwert wie auch weiterhin existierende Desiderate, insbesondere bei der Forschung zu Repräsentationsdefiziten und Policy-Effekten von Demokratieinnovationen ausgewiesen.
Direktdemokratisches Layering mit sozialer Schlagseite? Privatisierung und Kommunalisierung bei Begehren und Entscheiden
Authors: Mittendorf Volker , Müller Joel W. , Sack Detlef , Warwick Vanessa
Published: July 2023

Eigentumsfragen bei Infrastrukturen und Dienstleistungen im öffentlichen Interesse waren seit Mitte der 1980er Jahre Thema direktdemokratischer Begehren und Entscheide. Deren Häufigkeit wird hier in Beziehung zu den Privatisierungs- und Kommunalisierungsaktivitäten in den deutschen Ländern und Kommunen gesetzt. Zwei Ergebnisse zeigen sich: Wenn über Privatisierung abgestimmt wird, dann wird sie weit überwiegend abgelehnt. Somit wird der Befund der politikwissenschaftlichen Privatisierungsforschung bestätigt, dass Begehren und Entscheide als Veto-Positionen fungieren können. Im Abgleich mit dem Umfang der Privatisierungs- und Kommunalisierungsaktivitäten zeigt sich jedoch auch, dass gegen Privatisierung in geringem Maße politisch mobilisiert wird. Die Salienz des Issues reicht weit überwiegend nicht hin, um direktdemokratische Begehren und Entscheide zu initiieren. Dies wird mit den geringen Kapazitäten von Milieus erklärt, die von Privatisierungsentscheidungen negativ betroffen sind (sozialer Bias), und mit institutionellen Restriktionen für entsprechende Initiativen. Der Artikel trägt zur Forschung über direkte Demokratie in Regierungssystemen bei, in denen direktdemokratische Verfahren institutionell angelagert werden (Layering).
Partizipative Klimapolitik: Wie die Integration von Stakeholder- und Bürger*innenbeteiligung gelingen kann
Authors: Oppold Daniel , Renn Ortwin
Published: July 2023

Politisch Verantwortliche, die vor gesamtgesellschaftlichen Herausforderungen wie der Entwicklung einer wirksamen Klimapolitik stehen, sind aufgrund der Komplexität und Tragweite der Materie mehr denn je auf die Beteiligung von Stakeholdern und Bürger*innen angewiesen. Dies gilt insbesondere für die kommunale Ebene. In diesem Beitrag zeigen wir auf, welche Potenziale in der prozeduralen Integration von Stakeholder- und Bürger*innenbeteiligung liegen und wie diese Kombination in der Praxis gelingen kann. Dazu bereiten wir zunächst die theoretischen und praktischen Kernmerkmale der verbreiteten Beteiligungsinstrumente Bürger*innenrat und Runder Tisch auf. Anschließend analysieren wir zwei empirische Fallstudien, in denen jeweils sowohl eine Stakeholdergruppe als auch eine nach dem Zufallsprinzip geloste Bürger*innengruppe im Rahmen eines Gesamtprozesses gemeinsam Empfehlungen für klimapolitische Maßnahmenkataloge erarbeitet haben. Unsere Analyse zeigt, dass integrierte Gesamtbeteiligungsprozesse bei einer sorgfältigen Strukturierung der Interaktionen zwischen Stakeholdern und zufällig ausgewählten Bürger*innen sowie einem toleranten Umgang mit auftretenden Dissensen sachlich fundierte und politisch wirksame Ergebnisse erzielen können.
Die Elektronische Aufenthaltsüberwachung in Deutschland. Die Fallkonferenzen als entscheidendes Koordinationsinstrument einer progressiven Policy-Maßnahme im Strafsystem?
Authors: Wiegand Anna-Lena , Fromm Nadin
Published: July 2023

Die in Deutschland im Jahr 2011 gesetzlich eingeführte elektronische Aufenthaltsüberwachung (EAÜ) bietet die technische Voraussetzung zur Überwachung entlassener Straftäter*innen mit negativer Legalprognose. Dies betrifft insbesondere Sexualstraftäter*innen und betont den Ausnahmecharakter der EAÜ als ultima ratio in Deutschland. Das Bundesland Hessen als Pionier der elektronischen Überwachung in Deutschland setzte in der Vergangenheit institutionelle Maßstäbe für die bundesweite Implementation. Bei der praktischen Umsetzung sind Akteur*innen verschiedener Behörden beteiligt, die bei sog. Fallkonferenzen über den EAÜ-Einsatz entscheiden. Die Fallkonferenzen wurden erst mit der Einführung der EAÜ ins strafrechtliche SanktionssystemDeutschland initialisiert. Sie sind ein innovatives, bisher wenig erforschtes Instrument einer ressortübergreifenden Verwaltungskoordination. Im vorliegenden Beitrag werden auf Basis von Interviews mit Expert*innen einer exklusiv besetzten Stichprobe sowie mit Hilfe des akteurzentrierten Institutionalismus die Bedeutung der Fallkonferenzen für die erfolgreiche Koordination der EAÜ exploriert.
Safety BIM intelligent modeling analysis of prestressed concrete continuous girder bridge construction scene
Authors: Li Tao , Cong Bori , Yan Maowang , Li Qingying , Zhu Xinyuan
Published: July 2023

BIM intelligent modeling is used to analyze the safety of the construction scene of prestressed concrete continuous girder bridge, so as to realize the safety management of the bridge construction scene and improve the construction efficiency. The construction safety analysis system is used to analyze the binding data of construction safety, and the data is combined with the self-applicable equilibrium control and the game equilibrium control to build the construction scene safety objective function model. On this basis, combined with the control constraints of the whole life cycle, the statistical analysis regression model is used to build the scene safety analysis model based on BIM. The whole life cycle safety intelligent analysis of the construction scene is realized, and the improved particle swarm optimization algorithm is used to solve the model by adaptive differential evolution, so as to shorten the calculation time of the model. The experimental results show that the safety management performance of the proposed method is high, and the safety management evaluation grade is 285. The identification accuracy of main beam stress change is high. Under the conditions of unbalanced load, combination of unbalanced load and prestress, combination of wind load and prestress and unbalanced load, the safety analysis of upper edge stress and lower edge stress of main beam can be effectively completed, and the construction safety of prestressed concrete continuous beam bridge can be realized.
Disconnection of Network Hubs Underlying the Executive Function Deficit in Patients with Ischemic Leukoaraiosis
Authors: Wang Mengxue , Zhao Guofeng , Jiang Ying , Lu Tong , Wang Yanjuan , Zhu Yixin , Zhang Zhengsheng , Xie Chunming , Wang Zan , Ren Qingguo
Published: July 2023

Background: Cognitive impairment is the most common clinical manifestation of ischemic leukoaraiosis (ILA), but the underlying neurobiological pathways have not been well elucidated. Recently, it was thought that ILA is a “disconnection syndrome”. Disorganized brain connectome were considered the key neuropathology underlying cognitive deficits in ILA patients. Objective: We aimed to detect the disruption of network hubs in ILA patients using a new analytical method called voxel-based eigenvector centrality (EC) mapping. Methods: Subjects with moderate to severe white matters hyperintensities (Fazekas score ≥3) and healthy controls (HCs) (Fazekas score = 0) were included in the study. The resting-state functional magnetic resonance imaging and the EC mapping approach were performed to explore the alteration of whole-brain network connectivity in ILA patients. Results: Relative to the HCs, the ILA patients exhibited poorer cognitive performance in episodic memory, information processing speed, and executive function (all ps < 0.0125). Additionally, compared with HCs, the ILA patients had lower functional connectivity (i.e., EC values) in the medial parts of default-mode network (i.e., bilateral posterior cingulate gyrus and ventral medial prefrontal cortex [vMPFC]). Intriguingly, the functional connectivity strength at the right vMPFC was positively correlated with executive function deficit in the ILA patients. Conclusion: The findings suggested disorganization of the hierarchy of the default-mode regions within the whole-brain network in patients with ILA and advanced our understanding of the neurobiological mechanism underlying executive function deficit in ILA.
Mild Cognitive Impairment is Associated with Poorer Everyday Decision Making
Authors: Fenton Laura , Han S. Duke , DiGuiseppi Carolyn G. , Fowler Nicole R. , Hill Linda , Johnson Rachel L. , Peterson Ryan A. , Knoepke Christopher E. , Matlock Daniel D. , Moran Ryan , Karlawish Jason , Betz Marian E.
Published: July 2023

Background: Older adults are faced with many unique and highly consequential decisions such as those related to finances, healthcare, and everyday functioning (e.g., driving cessation). Given the significant impact of these decisions on independence, wellbeing, and safety, an understanding of how cognitive impairment may impact decision making in older age is important. Objective: To examine the impact of mild cognitive impairment (MCI) on responses to a modified version of the Short Portable Assessment of Capacity for Everyday Decision making (SPACED). Methods: Participants were community-dwelling, actively driving older adults (N = 301; M age = 77.1 years, SD = 5.1; 69.4% with a college degree or higher; 51.2% female; 95.3% White) enrolled in the Advancing Understanding of Transportation Options (AUTO) study. A generalized linear model adjusted for age, education, sex, randomization group, cognitive assessment method, and study site was used to examine the relationship between MCI status and decision making. Results: MCI status was associated with poorer decision making; participants with MCI missed an average of 2.17 times more points on the SPACED than those without MCI (adjusted mean ratio: 2.17, 95% CI: 1.02, 4.61, p = 0.044). Conclusion: This finding supports the idea that older adults with MCI exhibit poorer decision-making abilities than cognitively normal older adults. It also suggests that older adults with MCI may exhibit poorer decision making across a wide range of decision contexts.
The Association Between 24-Hour Blood Pressure Profiles and Dementia
Authors: Gibson Madeline , Yiallourou Stephanie , Pase Matthew P.
Published: July 2023

Midlife hypertension increases risk for dementia. Around one third of adults have diagnosed hypertension; however, many adults are undiagnosed, or remain hypertensive despite diagnosis or treatment. Since blood pressure (BP) follows a circadian rhythm, ambulatory BP monitoring allows for the assessment of BP over a 24-hour period and provides an important tool for improving the diagnosis and management of hypertension. The measurement of 24-hour BP profiles, especially nocturnal BP, demonstrate better predictive ability for cardiovascular disease and mortality than office measurement. However, few studies have examined 24-hour BP profiles with respect to dementia risk. This is an important topic since improvements in BP management could facilitate the primary prevention of vascular cognitive impairment and dementia. Therefore, this review discusses the evidence linking BP to dementia, with a focus on whether the implementation of 24-hour BP measurements can improve risk prediction and prevention strategies. Pathways linking nocturnal BP to dementia are also discussed as are risk reduction strategies. Overall, limited research suggests an association between 24-hour BP elevation and poorer cognition, cerebral small vessel disease, and dementia. However, most studies were cross-sectional. Further evidence is needed to substantiate 24-hour BP profiles, over and above office BP, as predictors of vascular cognitive impairment and incident dementia.
The APOE-TOMM40 Humanized Mouse Model: Characterization of Age, Sex, and PolyT Variant Effects on Gene Expression
Authors: Gottschalk William K , Mahon Scott , Hodgson Dellila , Barrera Julio , Hill Delaney , Wei Angela , Kumar Manish , Dai Kathy , Anderson Lauren , Mihovilovic Mirta , Lutz Michael W. , Chiba-Falek Ornit
Published: July 2023

Background: The human chromosome 19q13.32 is a gene rich region and has been associated with multiple phenotypes, including late onset Alzheimer’s disease (LOAD) and other age-related conditions. Objective: Here we developed the first humanized mouse model that contains the entire TOMM40 and APOE genes with all intronic and intergenic sequences including the upstream and downstream regions. Thus, the mouse model carries the human TOMM40 and APOE genes and their intact regulatory sequences. Methods: We generated the APOE-TOMM40 humanized mouse model in which the entire mouse region was replaced with the human (h)APOE-TOMM40 loci including their upstream and downstream flanking regulatory sequences using recombineering technologies. We then measured the expression of the human TOMM40 and APOE genes in the mice brain, liver, and spleen tissues using TaqMan based mRNA expression assays. Results: We investigated the effects of the ‘523’ polyT genotype (S/S or VL/VL), sex, and age on the human TOMM40- and APOE-mRNAs expression levels using our new humanized mouse model. The analysis revealed tissue specific and shared effects of the ‘523’ polyT genotype, sex, and age on the regulation of the human TOMM40 and APOE genes. Noteworthy, the regulatory effect of the ‘523’ polyT genotype was observed for all studied organs. Conclusion: The model offers new opportunities for basic science, translational, and preclinical drug discovery studies focused on the APOE genomic region in relation to LOAD and other conditions in adulthood.
Modelling a stacked dense network model for outlier prediction over medical-based heart prediction data
Authors: Krishna Boddu L.V. Siva Rama , Mahalakshmi V. , Nookala Gopala Krishna Murthy
Published: July 2023

Recently, deep learning has been used in enormous successful applications, specifically considering medical applications. Especially, a huge number of data is captured through the Internet of Things (IoT) based devices related to healthcare systems. Moreover, the given captured data are real-time and unstructured. However, the existing approaches failed to reach a better accuracy rate, and the processing time needed to be lower. This work considers the medical database for accessing the patient’s record to determine the outliers over the dataset. Based on this successful analysis, a novel approach is proposed where some feasible and robust features are extracted to acquire the emotional variations for various ways of expression. Here, a novel dense-Convolutional Neural Network (CNN) with ResNet (CNN-RN) extracts features from patients’, while for establishing visual modality, deep residual network layers are used. The significance of feature extraction is less sensitive during outlier prediction while modeling the context. To handle these issues, this dense network model is used for training the network in an end-to-end manner by correlating the significance of CNN and RN of every stream and outperforming the overall approach. Here, MATLAB 2020b is used for simulation purposes, and the model outperforms various prevailing methods for consistent prediction. Some performance metrics include detection accuracy, F1-score, recall, MCC, p-value, etc. Based on this evaluation, the experimental results attained are superior to other approaches.
A novel approach to enhance the quality of health care recommender system using fuzzy-genetic approach
Authors: Gautam Devendra , Dixit Anurag , Banda Latha , Goyal S.B. , Verma Chaman , Kumar Manoj
Published: July 2023

In recent generations of the digital world medical data in Recommender Systems. Health Care Recommender System (HCRS) analyses the medical data and then predicts the user’s or patient’s illness. Nowadays, healthcare data is used by various users or patients in recommendation systems which are useful for everyone. Analysing and predicting medical data provides awareness to users and these data predictions may be enriched using various techniques of RS. Machine learning techniques are used to make sure that health data is reliable and of high quality. In every RS the issues are targeted such as scalability, sparsity and cold start problems. In many social networking applications, these issues are resolved using ML algorithms. However, there is a significant gap between IT systems and medical diagnosis. The fuzzy genetic method is used in HCRS in order to bridge the gap between IT and healthcare applications. Through the use of the mutation and crossover operators, a real-value genetic method is used in this to compute similarity. With the user’s extra personalized information, fuzzy rules are later generated for the database. The Hybrid fuzzy-genetic method, also known as this situation, combines both techniques to improve recommendation quality. Utilizing this method will improve the quality of the recommendation process by discovering the most precise similarity measures among different users. Six factors are subjected to fuzzification, including age, gender, employment, height, weight, and region. Genre-interesting measure weights are then used, including Very Light, Light, Average, Heavy, and Very Heavy. Finally, the evaluation metrics used MAE and RMSE to evaluate the recommendation accuracy which showed the best results in comparison with baseline approaches such as Convolutional Neural Networks and Restricted Boltzman Machine.
Detection of ovarian follicles cancer cells using hybrid optimization technique with deep convolutional neural network classifier
Authors: Janakiraman Bhavithra , Prabu S. , Senthil Vadivu M. , Krishnan Dhineshkumar
Published: July 2023

Having one’s life threatened by a disease like ovarian cancer is the single most crucial thing in the whole world. It is difficult to achieve high performance without sacrificing computational efficiency; the results of the denoising process are not as good as they could be; the proposed models are nonconvex and involve several manually chosen parameters, which provides some leeway to boost denoising performance; the methods generally involve a complex optimisation problem in the testing stage; Here at DnCNN, we’ve developed our own version of the deep ii learning model, a discriminative learning technique. The goal was to eliminate the need for the iterative optimisation technique at the time it was being evaluated. The goal was to avoid having to go through testing altogether, thus this was done. It is highly advised to use a Deep CNN model, the efficacy of which can be evaluated by comparing it to that of more traditional filters and pre-trained DnCNN. The Deep CNN strategy has been shown to be the best solution to minimise noise when an image is destroyed by Gaussian or speckle noise with known or unknown noise levels. This is because Deep CNN uses convolutional neural networks, which are trained using data. This is because convolutional neural networks, which are the foundation of Deep CNN, are designed to learn from data and then use that learning to make predictions. Deep CNN achieves a 98.45% accuracy rate during testing, with an error rate of just 0.002%.
Vehicle leasing credit risk assessment modeling by applying extended logistic regression
Authors: Chang Yung-Chia , Chang Kuei-Hu , Chen Wei-Ting
Published: July 2023

In vehicle leasing industry which presents a great business opportunity, information completed by applicants was assessed and judged by leasing associates manually in most cases; therefore, assessment results would be affected by their personal experience of leasing associates and decisions would be further affected accordingly. There are few researches on applicant credit risk assessment due to not easy to obtain of vehicle leasing data. Further, the difficulty in vehicle leasing risk assessment is increased due to class imbalance problems in vehicle leasing data. In order to address such issue, a research on credit risk assessment in vehicle leasing industry was conducted in this study. The great disparity in the ratio of high risk and low risk data was addressed by applying synthetic minority over-sampling technique (SMOTE). Then, classification effect of risk assessment model was improved by applying logistic regression in a two-phase manner. In the section of empirical analysis, the feasibility and effectiveness of the approach proposed in this study was validated by using data of actual vehicle leasing application cases provided by a financial institution in Taiwan. It is found that the proposed approach provided a simple yet effective way to build a credit risk assessment model for companies that provide vehicle leasing.
A multi-attribute decision-making framework for enterprise competitive intelligence system evaluation with 2-tuple linguistic neutrosophic information
Authors: Chen Haoying
Published: July 2023

Big data is changing our lives and the way we understand the world, as well as the operational patterns of business and social organizations. Fully understanding the value of data and knowing how to use big data to provide a basis for business decision-making has gradually become the most basic thinking that business organizations should possess in the era of big data. Under the thinking mode of data-driven decision-making, many information science researchers have discussed the model, architecture, operation mechanism and other aspects of big data competitive intelligence system. At the same time, more and more enterprises, such as IBM, Amazon, Google, Microsoft, Wal Mart, etc., have begun to attach importance to the development and construction of big data competitive intelligence software systems, and have achieved certain results. The enterprise competitive intelligence system evaluation in the context of big data is regarded as multi-attribute decision-making (MADM). In this paper, the Hamy mean (HM) and the power average (PA) are connected with 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic numbers power HM (2TLNPHM) operator. Then, use the 2TLNPHM operator to handle MADM with 2TLNS. Finally, taking the enterprise competitive intelligence system evaluation in the context of big data as an example, the proposed method is explained. The main contributions of this study are summarized: the establishment of the 2TLNPHM operator; (2) The 2TLNPHM operator was developed to handle MADM with 2TLNS; (3) Through the empirical application of the enterprise competitive intelligence system evaluation, the proposed method is validated; (4) Some comparative studies have shown the rationality of the 2TLNPHM operator.
Modified cross-entropy methodology for art teaching effectiveness evaluation of primary schools with the triangular fuzzy neutrosophic information
Authors: Wang Guodong , Chen Zhen , Wang Guowei
Published: July 2023

The art curriculum is a compulsory course for students in the compulsory education stage, which is beneficial in cultivating students’ sentiments, cultivating their temperament and improving their intelligence. Since the new curriculum reform, the art curriculum has been implemented for nearly twenty years, and it has made great breakthroughs and gains. However, at the same time, there are many problems in the process of implementing the art curriculum. The art teaching effectiveness evaluation of primary schools is viewed as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) method is designed with help of cross-entropy and triangular fuzzy neutrosophic sets (TFNSs). Furthermore, Then, TFNN-CE method is built to solve the MADM. Finally, a numerical example for art teaching effectiveness evaluation of primary schools is given and some comparisons are conducted to r illustrate advantages of the designed method.
Vestibular mapping of the naturalistic head-centered motion spectrum
Authors: Ertl Matthias , zu Eulenburg Peter , Woller Marie , Mayadali Ümit , Boegle Rainer , Dieterich Marianne
Published: July 2023

BACKGROUND: Naturalistic head accelerations can be used to elicit vestibular evoked potentials (VestEPs). These potentials allow for analysis of cortical vestibular processing and its multi-sensory integration with a high temporal resolution. METHODS: We report the results of two experiments in which we compared the differential VestEPs elicited by randomized translations, rotations, and tilts in healthy subjects on a motion platform. RESULTS: An event-related potential (ERP) analysis revealed that established VestEPs were verifiable in all three acceleration domains (translations, rotations, tilts). A further analysis of the VestEPs showed a significant correlation between rotation axes (yaw, pitch, roll) and the amplitude of the evoked potentials. We found increased amplitudes for rotations in the roll compared to the pitch and yaw plane. A distributed source localization analysis showed that the activity in the cingulate sulcus visual (CSv) area best explained direction-dependent amplitude modulations of the VestEPs, but that the same cortical network (posterior insular cortex, CSv) is involved in processing vestibular information, regardless of the motion direction. CONCLUSION: The results provide evidence for an anisotropic, direction-dependent processing of vestibular input by cortical structures. The data also suggest that area CSv plays an integral role in ego-motion perception and interpretation of spatial features such as acceleration direction and intensity.
Bioethical Assessment of Research with Humanoid or Humanized Biological Entities with Uncertain Moral Status
Authors: Gómez-Tatay Lucía , Tudela Julio
Published: July 2023

A number of studies have been conducted in recent years with humanoid or humanized biological entities such as hybrids or mixtures of species that involve a human contribution to the resulting individual. These include embryos whose genetic makeup is exclusively human but which do not come from the fertilization of gametes, and embryoid models obtained from stem cells, all of them with an uncertain moral status. Both conceptual and empirical limitations make it difficult to classify such entities within the pre-established biological categories, resulting in uncertainty as to the moral licitness of generating such entities and using them in experimentation.

In the question of chimera research, the state of science currently permits a very low human contribution to the animal individual, so there are no doubts about the biological nature and moral status of the chimeras that can now be generated. However, the possibility of further refinement of the technique requires us to consider what limits to set in this regard.

Given the inability to establish clear boundaries to systematize the degree of differences that should distinguish zygotes and embryos obtained by fertilization from those obtained by cloning, parthenogenesis or induced cellular dedifferentiation, the principle of bioethical prudence should be applied to current research with a view to preventing them from threatening human lives which, even in a very genetically imperfect state, should continue to be regarded as such.
Leveraging Fine-Tuned Language Models in Bioinformatics: A Research Perspective
Authors: Shahid Usama
Published: July 2023

Bioinformatics, an interdisciplinary field combining biology, computer science, and statistics, has advanced with deep learning and natural language processing techniques. This perspective explores the applications of fine-tuned language models in bioinformatics, highlighting their potential in various domains while discussing challenges and limitations. Fine-tuned language models benefit biomedical literature analysis, extracting information from scientific papers to synthesize knowledge and generate synthetic sequences for DNA, RNA, and protein research. In drug discovery, these models can identify novel drug targets, accelerate virtual screening, and aid drug repurposing by finding new therapeutic indications for existing drugs. For clinical decision support, fine-tuned language models can analyse patient data, medical literature, and guidelines to provide personalized recommendations and alerts to healthcare professionals. They can also aid accurate protein structure prediction for drug design and target identification. In pharmacovigilance, these models can analyse unstructured data sources to detect adverse events from social media, patient forums, and health records, enabling early intervention and improving patient safety. However, challenges like data availability, domain-specific knowledge, bias, interpretability, resource efficiency, ethics, and validation must be addressed for reliable application. Addressing these challenges will unlock the full potential of fine-tuned language models in bioinformatics, driving advancements and benefiting human health. Collaboration between computational and experimental biologists, ethicists, and regulatory bodies is crucial to establish ethical guidelines and best practices for their use.
PENGARUH UKURAN PERUSAHAAN, LEVERAGE DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN
Authors: Hidayat Imam , Tasliyah Mayla
Published: July 2023

This study aims to examine the factors that influence company value. There are several factors used, including company size, profitability, leverage. The purpose of this study is to empirically examine whether company size, profitability, leverage, influence the value of the company in consumer goods industry companies listed on the Indonesia Stock Exchange. In this study experienced a fluctuating phenomenon in the consumer goods industry sector companies listed on the Stock Exchange in 2014-2017. The population used as the object of observation is 23 consumer goods industry companies listed on the Indonesia Stock Exchange in the period 2014- 2017. Determination of research samples using purposive sampling method and obtain a sample of 43 consumer goods industry companies based on certain criteria. The results showed that the size of the company did not affect the company's value, leverage and profitability had a significant effect on the value of the company. In this study there were still many limitations and disadvantages, namely, the influence of the independent variable was only able to explain 79.6% so it needed additional other independent variables.
Уран өндірісі маңында тұратын халықтың биологиялық сынамаларындағы уранның мөлшерін бағалау
Authors:   Astana Medical University, Bizhanova D.S. , Bakhtin M.M. ,   Astana Medical University
Published: July 2023

Pollution of the environment by industrial waste is one of the urgent problems today. Therefore, for the population living near the storage of radioactive waste, it is important to study its impact on the human body for many years and determine ways to solve this problem. The article presents an overview of the issues of ensuring radiation safety in the areas of radioactive waste warehouses, data on the current state of radioactive waste storage sites in the country. It also provides the characteristic of the ways of movement of radionuclides, mainly in the objects of the uranium series environment, as well as an overview of the main methods for assessing the content of radionuclides in the human body and calculating radiation doses. The main attention was paid to the determination of uranium in biological samples (hair, nails, urine).
Examples of Clinical Use of Botulinum Toxin: A Literature Review
Authors:   Al-Farabi Kazakh National University, Zhantleuova A.K. , Karimova A.S. ,   Al-Farabi Kazakh National University, Davletov B.A. ,   University of Sheffield
Published: July 2023

Botulinum toxin (BoNT), being one of the most toxic substances known to mankind, due to its unique mechanism of action is used as an effective treatment for many diseases, including strabismus, blepharospasm, and hemifacial spasm. BoNT has received particular use as a long-acting analgesic due to its ability to inhibit the exocytosis of pain neuropeptides, including CGRP, Substance P, and modulate the expression of pain-related receptors as TRPV1, NMDA, AMPA, P2X3. Botulinum toxin injections are effective in the treatment of many pain conditions: diabetic neuropathy, chronic migraine, spinal cord injury. This article reviews the possibilities of clinical applications of botulinum toxin based on the analysis of articles in the PubMed database for specific search terms. The keywords “botulinum toxin”, “treatment”, “clinical use”, “pain reduction” were used to obtain references. The possibilities for the clinical use of botulinum toxin are growing every year. Currently, at least 8 commercially available preparations of botulinum toxin types A and B are known, the most recognizable of which are Botox, Dysport, and MyoBloc/NeuroBloc. Future research should focus on improving the safety profile and increasing the efficacy of botulinum toxin-based drugs. New types of botulinum toxin obtained through molecular reengineering will significantly increase its therapeutic efficacy.
Micronucleus test and assessment of changes in peripheral blood erythrocytes of dominant animal species in the Turkestan region
Authors:   Institute of Radiobiology and Radiation Protection, NC JSC Astana Medical University, Ganina А.M. , Bakhtin M.M. ,   Institute of Radiobiology and Radiation Protection, NC JSC Astana Medical University, Kashkinbayev Y.T. ,   Institute of Radiobiology and Radiation Protection, NC JSC Astana Medical University, Kazymbet P.K. ,   Institute of Radiobiology and Radiation Protection, NC JSC Astana Medical University, Aumalikova M.N. ,   Institute of Radiobiology and Radiation Protection, NC JSC Astana Medical University, Uvataeva Zh.S. ,   JSC National Scientific Medical Center
Published: July 2023

The article presents the results of a study of peripheral blood erythrocytes of dominant animal species in the Turkestan region. The relevance of this work is due to the construction of a nuclear power plant on the territory of Uzbekistan (Jizzakh region, Lake Tuzkan), since the areas of the Turkestan region fall under the potential influence of nuclear power plants and biota objects require monitoring at the ‘zero stage’ before the construction of a nuclear power plant. The data obtained are of great importance in assessing the impact of technogenic factors on biota. Given the location of uranium deposits in the Turkestan region, the uranium content was determined in samples (bones, soft tissues) of amphibians and fish. It has been established that the concentration of uranium in samples of biological objects is within the normal range. We have carried out work on the analysis of erythrocytes and micronuclei in the following biota representatives: desert lacerta (lat. Eremias intermedia), yellow ground squirrel (lat. Spermophilus or Citellus), lake frog (lat. Pelophylax ridibundus), rudd (lat. Redd pisces), snakehead (lat. Channa argus). According to the results of studies in the desert lacerta (lat. Eremias intermedia) and lake frog (lat. Pelophylax ridibundus), various pathological conditions of erythrocytes and micronuclei were observed in 11% of the total number of blood products studied.
The Opportunities and Security Risks of Mobile Applications in the Context of Local Economic Development
Authors: Koller Marco , Bányász Péter
Published: July 2023

The spread of information and communication technologies has created an incredible level of dependency in societies nowadays. The efficient functioning of the State and the economy is now unthinkable without these tools. It is undeniable that the Internet and ICTs make a significant contribution to economic growth and play a vital role in all social subsystems. People expect technology to resolve the problems they face, most typically through an application for a smart mobile device. Whether it is elderly care, shopping, public transport, or government administration, mobile apps are the first choice for a growing percentage of users. As a result, they are also playing an increasingly important role in local economic development. In this paper, the authors examine the potential for using these applications and the associated risks.
Citizen Soldiers in Ethiopia: The Experience and Legal Frameworks of Reserve Force, Conscription and Militia System
Authors: Sigatu Kaleab Tadesse
Published: July 2023

This paper aims to offer a historical overview, legal framework and analysis of the reserve force, conscription or compulsory military service, and militia systems in Ethiopia from the period of Emperor Haile Selassie to the present. Methodologically, it employs an empirical examination of literature and legal documents on the reserve force, conscription and the militia. There is an inadequacy of literature on the three major citizen soldier defence institutions in Ethiopia, and this paper is a partial attempt to fill the knowledge gap. The paper discusses the legal framework of the Emperor’s effort to create a reserve force named Territorial Amy, which more or less met its objective, even though the effort to start national military service failed. The military government’s vicious mobilisation of militia and heavy recruitment of the youth for national military service resulted from the extended civil war that ended with the liberation of Eritrea and the toppling of the government. Currently, the government is planning to start national military service; on the other hand, a nominal reserve force exists, and the mostly rural institution of the militia plays an important citizen soldier role.