bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS KINERJA KEUANGAN PEMERINTAHAN PROVINSI JAWA TENGAH TAHUN ANGGARAN 2019-2022
Authors: Berizky Kekieta Gustie , Kurniawan Rudi
Published: January 2024

Berdasarkan masalah pokok yang ada di temukan yaitu bagaimana kinerja keuangan BPKAD Provinsi Jawa Tengah terhadap tingkat kemandirian dan tingkat ketergantungan provinsi Jawa tengah atas bantuan keuangan dari pemerintah pusat. Jadi tujuan penelitian ini adalah bertujuan untuk menganalisis kinerja keuangan pada Badan Pengelolaan Keuangan dan Aset Daerah (BPKAD) Provinsi Jawa Tengah selama tiga tahun terahir (2019-2022).Penelitian ini menggunakan Pendekatan Teknik data deskriptif yaitu dengan cara melakukan perhitungan terhadap perhitungan analisis data kuantitatif. keuangan yang diperoleh guna menyelesaikan dan menyelesaikan masalah yang ada sesuai dengan tujuan penelitian. dimana variabel Y yaitu kinerja keuangan Provinsi Jawa Tengah dimana kinerja keuangan pemerintah provinsi jawa Tengah dalam mengelola keungannya secara seccra efektif, efisien, akuntabel, dan tranparan. Kinerja keuangan yang ada di variabel Y akan diukur dengan beberapa variabel X yaitu rasio- rasio yang dipakai untuk mengukur kinerja keuangan Provinsi Jawa Tengah yaitu rasio kemandirian keuangan, rasio efektifitas PAD, rasio efisiensi, Rasio keserasihan.
PENGARUH GAYA KEPEMIMPINAN TRANSAKSIONAL TERHADAP KINERJA KARYAWAN DENGAN MOTIVASI KERJA SEBAGAI MEDIASI PADA FARKHANSS TOWING SERVICE KOTA SURABAYA
Authors: Samudera Farkhan , Agustina Tri Siwi
Published: January 2024

Dalam suatu perusahaan diperlukan senantiasa meningkatkan efektifitas terkait gaya kepemimpinan transaksional dalam perusahaan untuk dapat bertahan dan berkompetisi ditengah perubahan persaingan pasar dan lingkungan yang berkembang pesat Tujuan dari dilakukannya penelitian ini guna mengetahui signifikansi terkait gaya kepemimpinan transaksional mempengaruhi kinerja , motivasi dan terkait kinerja dengan motivasi sebagai mediasi..Dalam prosesnya, penulis menggunakan metode kuantitatif dengan media pengisian kuesioner dengan skala likert yang diisi oleh karyawan Farkhanss Towing Service yang kemudian data akan dianalisis dengan metode PLS-SEM dengan SmartPLS. Hasil penelitian didapatkan nilai T-statistics = 1,630 dan p-value = 0,104 yang artinya tidak adanya pengaruh positif pada Gaya Kepemimpinan dengan Kinerja Karyawan.  Selanjutnya, pengaruh Motivasi terkait Kinerja Karyawan memiliki nilai T-statistics = 3,144 dan p-value = 0,002 yang dapat disimpulkan bahwa adanya pengaruh positif Motivasi terkait Kinerja Karyawan.
In vitro assessment of thrombolytic potential of red and white ginger (Zingiber officinale)
Authors: Pinontoan Reinhard , Leke Patricia Ansyra Injilia , Lesmana Jevon Aaron , Purnomo Jonathan Suciono , Dikson Dikson , Samantha Ariela
Published: January 2024

Background:  Cardiovascular diseases (CVDs) are a leading cause of death, and their pathogenesis is commonly attributed to thrombosis. Although existing medications are effective and fast-acting for thrombosis management, they tend to be expensive and cause severe side effects. Plant-based thrombolytic agents are actively sought after as inexpensive and safe alternatives for the treatment and prevention of thrombosis. Red ginger (Zingiber officinale var. rubrum) and white ginger (Zingiber officinale var. officinale) are widely used in foods and beverages and are believed to confer a wide variety of health benefits. Objective: This study aims to elucidate the thrombolytic and fibrinolytic potential of red and white ginger extracts in vitro.Methods: In this study, in vitro analyses were performed using erythrocyte liberation, euglobulin degradation, fibrin degradation, and fibrin zymography assays. The ability of crude enzyme extracts from both red (rgEx) and white ginger (wgEx) to degrade blood clots was analyzed using the erythrocytes liberation assay. Then, the thrombolytic and fibrinolytic activities of rgEx and wgEx were evaluated using euglobulin and fibrin degradation assays, both of which were visualized using Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis (SDS-PAGE). Finally, fibrinolytic enzymes were identified using a fibrin zymography assay. Results: Red and white ginger extracts were found to have strong thrombolytic properties via high total liberated erythrocyte count from the erythrocyte liberation assay. The ginger extract proteases can rapidly degrade euglobulin and fibrin, with their priority order beginning with A
Research on Imputation Method for Missing Values of Nuclear Power Plants’ Operation Data
Authors: Liu Jie , Qi Xiaodi , Wu Zhiqiang , Jiang Wei , Chen Zhi , Jian Yifan , Wen Juan
Published: January 2024

The collection of nuclear power plants operating data is the basis for subsequent fault diagnosis and obtaining the operating status of nuclear power plants, but equipment failures and external interference will lead to missing operating monitoring data, which will reduce the quality of the data and thus reduce the accuracy of the subsequent analysis results. To solve this problem, this paper utilizes the fact that nuclear power plants have accumulated a large amount of operational data and researches the method of generating adversarial imputation network (GAIN)–based imputation method for missing values of nuclear power plants’ operational data. The generator in the model estimates the missing values by learning the distribution of the true values, and the discriminator in the model discriminates which values are true and which are generated with the help of a hint matrix. The hint reveals partial information about the missing original samples to the discriminator, which the discriminator uses to focus its attention on the quality of the imputation of particular data values. Finally, a training set and a test set were constructed for comparative experiments on the PCTran simulation platform by simulating the operational data of the AP1000 as an example. The experimental results demonstrate that the investigated algorithm achieves lower root mean square error (RMSE), verifying the feasibility and accuracy of the method.
First-Order Linear Ordinary Differential Equation for Regression Modelling
Authors: Kek Sie Long , Chen Chuei Yee , Chan Sze Qi
Published: January 2024

This paper discusses the data-driven regression modelling using first-order linear ordinary differential equation (ODE). First, we consider a set of actual data and calculate the numerical derivative. Then, a general equation for the first-order linear ODE is introduced. There are two parameters, namely the regression parameters, in the equation, and their value will be determined in regression modelling. After this, a loss function is defined as the sum of squared errors to minimize the differences between estimated and actual data. A set of necessary conditions is derived, and the regression parameters are analytically determined. Based on these optimal parameter estimates, the solution of the first-order linear ODE, which matches the actual data trend, shall be obtained. Finally, two financial examples, the sales volume of Proton cars and the housing index, are illustrated. Simulation results show that an appropriate first-order ODE model for these examples can be suggested. From our study, the practicality of using the first-order linear ODE for regression modelling is significantly demonstrated.
Convolutional Neural Network Image Segmentation of Alzheimer’s Disease Based on Multi-Order 3D U-NET
Authors: Sun Ningsen , Yuan Yuan , Zhang Lanhua , Han Zhongdong
Published: January 2024

Alzheimer’s disease will lead to the atrophy of the Hippocampus. In order to recognize the position changes of Hippocampus, improve the image contour quality, further improve the accuracy of convolution, and achieve the purpose of accurately extracting image information, convolutional neural network is introduced to recognize the Hippocampus region with brain magnetic resonance imaging, and a method combining multi-level 3D U-NET is proposed based on single-stage U-NET. The results showed that this model could enhance the segmentation performance, significantly improved the segmentation accuracy which had certain clinical significance for the brain to recognize the Hippocampus and the automatic discrimination of Alzheimer’s disease.
A Study on the Prediction of Illegal Fishing Crime in the Yangtze River Basin
Authors: Hao Weiyang , Li Xiang , Zhou Qi
Published: January 2024

In 2020, the state issued a ten-year ban on fishing in the Yangtze River basin, which has put forward more stringent requirements for public security officers to combat illegal fishing crimes. At present, there are problems such as low control efficiency, limited monitoring scope and no direction for arrests in combating illegal fishing activities in the Yangtze River basin. In this paper, we use police data as samples, extract the characteristics of criminal personnel using the TF-IDF algorithm, then use these characteristics as weights, use the combination of coefficient of variation plus hierarchical analysis algorithm to predict the key suspect, and finally use the trajectory carving model to carve the front, middle and back ends of the suspect’s crime execution to establish an early warning model of illegal fishing crimes in the Yangtze River basin. It provides investigative ideas for the detection of illegal fishing of aquatic products, curbs the spread of illegally caught aquatic products, improves regulatory measures and forms a normal and long-term mechanism for prevention and control and governance.
“Three Education” Reform of Public English for Higher Vocational Education Empowered by Information Technology – Taking Shanghai Technical Institute of Electronics & Information as an Example
Authors: Xiao Xiao , Sun Hui
Published: January 2024

This paper explores the practical problems of the “Three Education” Reform in the context of information technology changes, and builds up the “Three Education” Reform model of public English for higher vocational education with “teacher competence + textbook content + teaching method innovation” as the main line of information technology empowerment. The new model of “Three Education” Reform was explored. The model takes teacher reform as a guide, textbook reform as a carrier, and teaching method reform as a medium to promote the match between vocational education personnel training objectives and job competencies, achieve a basic match between teaching and production processes, narrow the gap between the education, industrial and talent chain, and truly realize the application of learning.
An Event Recognition Method for Distributed Acoustic Sensing Based on Convolutional Neural Network
Authors: Chen Xiehao
Published: January 2024

Distributed Acoustic Sensing (DAS) is a novel technology has been widely applied in pipeline monitoring, railway safety monitoring, perimeter security, and other field. In particular, an effective algorithm for classing events is of the most importance. In our work, a method for event recognition based on convolution neural network is proposed. This method only used raw temporal-spatial signal data into gray scale image for the input of CNN. In order to recognize vibration events quickly and accurately, a small Convolutional neural network structure is proposed. Field experiment results show that our approach can achieve 96.32% classification accuracy and a 0.46 second recognition speed under 1200m distance length of optical fiber cable.
A Scheme for Charging Load Prediction of EV Based on Fuzzy Theory
Authors: Wang Sike , Yu Liansong , Cao Peng , Hu Huafeng , Pang Bo , Luo Wei , Ge Xiaohu
Published: January 2024

With the development of the electric vehicle industry, the increasing charging load of electric vehicles has brought enormous pressure to urban distribution networks, affecting their safety and efficiency. Therefore, the power system needs a better load forecasting model to predict the load value more accurately. Considering that traditional electric vehicle charging load prediction models still have many shortcomings, this article uses fuzzy theory to deal with uncertain influencing factors and combines fuzzy clustering method to analyze the charging habits of local residents. In order to make the power load prediction results more effective and reliable, this paper proposes a fuzzy neural network prediction model that takes into account user habits. The key influencing factors are fuzzy processed, and the fuzzy c-means clustering method is introduced for mining. The law of charging time for most car owners is analyzed. The superiority of the prediction model incorporating fuzzy theory was verified through comparative experiments. The accuracy of the final time-sharing prediction is above 90%.
Research on Criminal Clues Analysis Model of Illegally Added Toxic and Harmful Substances in Food
Authors: Wang Yutian , Yang Qianye , Chen Haowei , Chen Jiongkai
Published: January 2024

With the continuous development of the era of big data and the corresponding technical means, the technical demand for data mining and analysis research and judgment in maintaining food safety is also increasing, and how to combine the trend of The Times to strengthen the fight against food safety crimes and innovate the means of handling cases is particularly important. Therefore, in order to further improve the ability and efficiency of relevant departments in investigating food cases, this paper, based on actual case data, uses big data police analysis technology as a means to build a clue analysis model for illegal addition of toxic and harmful substances to food crimes, establishes a multi-channel data collection system, preprocesses case texts and defines standards, and innovatively uses knowledge ontology database construction technology. Then it is classified according to the business theme, and the overall framework of the analysis model of food crime clues of illegal addition of toxic and harmful substances is reused vertically, and the horizontal expansion is flexible, and the analysis, judgment and comprehensive treatment ability of hot issues of food crime of illegal addition of toxic and harmful substances in the disposal of food safety crimes the model is greatly improved.
Understanding Public Concerned Ethic Issues and Ethical Acceptance of AI Surveillance Technology: Analysis from Social Media Data
Authors: Wan Yan , Peng Ziqing , Wu Fei , Gao Jinping , Li Minghui
Published: January 2024

The accuracy, fairness, and data security of AI surveillance technology have caused a wide range of social discussions. How to guarantee the security of such AI technologies in the application process? This study proposes a computational framework based on machine learning algorithms to extract the public-concerned ethical issues and ethical acceptance of AI surveillance technology from social media data. This study provides a method for the government and enterprises to identify and monitor the public-concerned ethical issues and ethical acceptance of AI surveillance technology. The results can promote the governance and development of AI surveillance technology. This study provides a new research approach and perspectives for AI ethics and governance research.
Magnetic Field-Insensitive Anapole State in Gyromagnetic Media
Authors: Zhang Yujie , Niu Chuanning , Zhao Jia , Wang Zuojia
Published: January 2024

In this paper, a metasurface consisting of periodic ferrite disks that shows insensitive responses to external biased magnetic field has been designed and numerically investigated. Microwave ferrite materials with high permittivity support anapole mode arising from destructive interference between electric and toroidal dipole moments. When a low external magnetic field is applied, the magnetic resonant mode splits into two chiral resonances. The transmission spectra of the anapole mode and magnetic resonant mode exhibit different trends as the external bias magnetic field is increased, but the anapole state does not change. The bias magnetic field only impacts the magnetic dipole resonance peak, according to the multipole decomposition theory, hence the anapole possesses features that are insensitive to the magnetic field. We anticipate that our study will pave the way for a variety of applications in some strong magnetic environments thanks to the magnetic field-insensitive property of the suggested metamaterial.
Design and Implementation of a Fatigue Detection System Based on Dlib for Driver Facial Features
Authors: Bao Yiqin , Xu Wenbin
Published: January 2024

There are currently three commonly used methods for detecting fatigue driving, namely physiological feature based detection, vehicle driving information based detection, and driver behavior feature based detection. The first two methods have issues such as invasiveness to drivers and low detection accuracy, which makes them unable to be put into large-scale use under actual production conditions. This article adopts a driver fatigue detection method based on Dlib, using the 68 person face feature point model database contained in the Dlib database for facial localization. The driver is judged whether they are tired driving by the three fatigue features of blinking, yawning, and nodding. The three features are standardized, and the number of blinking, nodding, and yawning is counted using coordinate points to determine whether they are tired. The recognition success rate is about 95%, More than 90% reach the application level.
In Silico Insights into Micro-Mechanism Understanding of Extracts of Taxus Chinensis Fruits Against Alzheimer’s Disease
Authors: Chen Meimei , Wang Fengzhen , Lei Huangwei , Yang Zhaoyang , Li Candong
Published: January 2024

Background: The taxus chinensis fruit (TCF) shows promises in treatment of aging-related diseases such as Alzheimer’s disease (AD). However, its related constituents and targets against AD have not been deciphered. Objective: This study was to uncover constituents and targets of TCF extracts against AD. Methods: An integrated approach including ultrasound extractions and constituent identification of TCF by UPLC-QE-MS/MS, target identification of constituents and AD by R data-mining from Pubchem, Drugbank and GEO databases, network construction, molecular docking and the ROC curve analysis was carried out. Results: We identified 250 compounds in TCF extracts, and obtained 3,231 known constituent targets and 5,326 differential expression genes of AD, and 988 intersection genes. Through the network construction and KEGG pathway analysis, 19 chemicals, 31 targets, and 11 biological pathways were obtained as core compounds, targets and pathways of TCF extracts against AD. Among these constituents, luteolin, oleic acid, gallic acid, baicalein, naringenin, lovastatin and rutin had obvious anti-AD effect. Molecular docking results further confirmed above results. The ROC AUC values of about 87% of these core targets of TCF extracts was greater than 0.5 in the two GEO chips of AD, especially 10 targets with ROC AUC values greater than 0.7, such as BCL2, CASP7, NFKBIA, HMOX1, CDK2, LDLR, RELA, and CCL2, which mainly referred to neuron apoptosis, response to oxidative stress and inflammation, fibroblast proliferation, etc. Conclusions: The TCF extracts have diverse active compounds that can act on the diagnostic genes of AD, which deserve further in-depth study.
Analysis method of permanent magnet eddy current brake under impact load
Authors: Shen Yanping , Liu Ning , Sun Mingliang , Wang Biaobiao , Liang Yuxia
Published: January 2024

Permanent magnet eddy current brake (PMECB) with high damping performance is widely used in engineering vibration suppression and braking. In this study, based on the braking dynamics of PMECB under impact load, the analysis method related to the damping characteristics are established, including a static magnetic model with flux leakage, a uniform damping force model with demagnetization effect and skin effect, and an acceleration damping force model with magnetic field distortion. The comparison of the analysis method, numerical simulation and experimental results verifies that the analysis method can reproduce the damping law under impact load. The results show that the maximum displacements of the analysis method and numerical simulation deviate from the experimental results within 3%. The analysis method can complete the calculation of the damping characteristics within a few seconds. The variations of the thickness, conductivity of the conductive cylinder, and air gap thickness have significant effects on the nonlinear and critical characteristics of the velocity-damping force curve, which can be corrected by changing the coefficients in the analysis method. In summary, the proposed analysis method can provide insights for rapid engineering design and optimization calculation of the PMECB by its completeness, accuracy, adaptability and rapidity.
Burden of Disease of Duchenne Muscular Dystrophy in Denmark – A National Register-Based Study of Individuals with Duchenne Muscular Dystrophy and their Closest Relatives
Authors: Rudolfsen Jan Håkon , Vissing John , Werlauff Ulla , Olesen Charlotte , Illum Niels , Olsen Jens , Poulsen Peter Bo , Strand Mette , Born Alfred Peter
Published: January 2024

Background:

Duchenne Muscular Dystrophy (DMD) is a progressive genetic disease with a prevalence of 1 per 3,600–6,000 male births. Individuals with DMD are typically diagnosed at age 4–7 years; median survival is 30 years. They require multidisciplinary care, personal assistance, and often special education.

Objective:

The aim was to assess the burden of disease in DMD in Denmark. This includes incidence, prevalence, use of healthcare services, labour market participation, educational outcomes, and overall attributable costs due to DMD. Impact on the closest relatives (siblings and parents) was also investigated.

Methods:

The comprehensive Danish national health and administrative registers were used to assess the burden of disease following individuals with DMD and closest relatives from five years before, and up to 20 years after DMD diagnosis. Individuals with DMD (and relatives) from 1994–2021 were included. All outcomes were compared to matched control groups without the disease drawn from the Danish population.

Results:

213 unique individuals with DMD were identified. They had lower grades in school, required more special education and more healthcare and home care compared to their control group. The extra costs of special education summed to EUR 180,900 over the course of 11 years elementary school. They had an annual average productivity loss of EUR 20,200 between the age of 18 to 30. The extra healthcare costs of DMD in the 20 years after diagnosis were estimated to EUR 1,524,000. If an individual with DMD lives to be 30, total extra costs sum to EUR 2,365,800.

Conclusions:

Using national register data this study presented detailed results on the burden of disease of DMD, including impact on closest relatives. With 60 additional hospital admissions and 200 extra outpatient contacts in 20 years healthcare costs, but also costs of home care and special education, increases as disease progresses.
Addressing Comorbidities in People with Parkinson’s Disease: Considerations From An Expert Panel
Authors: Carroll Camille , Clarke Carl E. , Grosset Donald , Rather Arshad , Mohamed Biju , Parry Miriam , Reddy Prashanth , Fackrell Robin , Chaudhuri Kallol Ray
Published: January 2024

In the UK, guidance exists to aid clinicians and patients deciding when treatment for Parkinson’s disease (PD) should be initiated and which therapies to consider. National Institute for Health and Care Excellence (NICE) guidance recommends that before starting PD treatment clinicians should discuss the following: the patient’s individual clinical circumstances; lifestyle; preferences; needs and goals; as well as the potential benefits and harms of the different drug classes. Individualization of medicines and management in PD significantly improves patients’ outcomes and quality of life. This article aims to provide simple and practical guidance to help clinicians address common, but often overlooked, co-morbidities. A multi-disciplinary group of PD experts discussed areas where clinical care can be improved by addressing commonly found co-morbidities in people with Parkinson’s (PwP) based on clinical experience and existing literature, in a roundtable meeting organized and funded by Bial Pharma UK Ltd. The experts identified four core areas (bone health, cardiovascular risk, anticholinergic burden, and sleep quality) that, if further standardized may improve treatment outcomes for PwP patients. Focusing on anticholinergic burden, cardiac risk, sleep, and bone health could offer a significant contribution to personalizing regimes for PwP and improving overall patient outcomes. Within this opinion-based paper, the experts offer a list of guiding factors to help practitioners in the management of PwP.
AI-Based Decision Support Systems in Intensive Care
Authors: Theilen Raphael , Wittenstein Jakob
Published: January 2024

Intensive Care Units (ICUs) serve a critical role in providing specialized care to critically ill patients in modern healthcare. The ICU environment poses numerous challenges, including high workload, complex decision-making, management of large healthcare data, and the consideration of individual patient needs and preferences. Decision support systems (DSS) in healthcare aim to improve care and aid decision-making by providing person-specific information and recommendations. Recent advancements in Artificial Intelligence (AI) have enabled the development of AI-based DSS, which analyze extensive medical data to identify patterns, make predictions, and personalize care. Various AI models and approaches, such as regression models, decision trees, random forest models, support vector machines, and neural networks have been employed to analyze patient data and help with decision making in the ICU. Evaluation of AI tool performance employs metrics such as accuracy, precision, sensitivity, and specificity, with validation against external databases being necessary. Gaining insights into decision-making factors, integrating subjective factors, and addressing ethical concerns are essential for the acceptance and deployment of AI-DSS in clinical practice. Clarification regarding responsibility, accountability, and the ability for clinicians to override AI-DSS recommendations is necessary to ensure appropriate utilization. While efforts have been made to evaluate AI-DSS in the ICU, most applications remain retrospective and lack clear evidence of improved clinician performance or patient outcomes. The majority of AI models rely on supervised learning for detection and identification tasks, but their efficacy is limited by the scarcity of high-quality data and inadequate consideration of human factors.. Furhtermore, the implementation of AI in the ICU still faces limitations and skepticism from healthcare personnel. Transparent explanations of modeling methods and operational procedures are necessary to instill clinician confidence. Addressing challenges such as the lack of standardized ICU databases and regulatory frameworks is pivotal for widespread adoption of AI in the ICU.
Deep Learning to Explore the Correlation Between Screen Time and Depression Through Analysis of the NHANES Dataset
Authors: Regis Anne W
Published: January 2024

The explosion in the number of digital gadgets and the increasing integration of technology into daily life have led to a significant rise in screen time usage across various age groups. Also, the pandemic has moved us indoors leading every work to be done online. The screen time including the smart phones, Laptops and Televisions have increased among the teenagers with the advent of online education becoming a necessity and exceed the American Academy of Pediatrics recommendations. The time devoted to social media, online gaming, and entertainment platforms leads to depressive symptoms. The blue light emanating from these devices can cause intensive damage to the metal health of teenagers. The hazards of using these devices for a longer time has an influence both on their behaviour and their rational thinking. The effect on cognitive behaviour is reflected in their mental health like loneliness, degradation of personality level and suicidal thoughts. There arises a debate to find if usage of digital gadgets for a long time has depressive symptoms in teenagers. In this chapter the feasibility of detecting depression based on the screen time usage is explored and an awareness is created to promote healthier digital habits. The NHANES, dataset contains various standardized questionnaires designed to evaluate the severity of depressive symptoms is considered for analysis. Some widely used depression scales include Beck Depression Inventory (BDI), Hamilton Rating Scale for Depression (HAM-D) etc., In this chapter, we have chosen HAM-D to assess the severity of depression in an individual. Higher scores indicate that the person is in severe depression and needs treatment. A Generalized regression neural network (GRNN) depression detection model based on screen time usage is proposed and the model is compared with Multilayer Neural Network (MLNN) Model. The proposed model gives an accuracy of 98.55
STRATEGI PEMBERIAN MANASIK KESEHATAN HAJI DAN TATA CARANYA
Authors: Sholichah Nisa Munadatus , Khotimah Khusnul , Taqwa Ussisa 'alat
Published: January 2024

The pilgrimage health ritual is for the physical and mental well-being of the pilgrims. The first step in the pilgrimage health ritual is a comprehensive health examination. The goal of the pilgrimage health ritual is to maintain the physical and mental health of the pilgrims so that they can perform the pilgrimage smoothly. The initial preparations of the pilgrims aim to reduce the risk of illness and ensure health during the pilgrimage. This research aims to outline health strategies for pilgrims before and after the pilgrimage through literature review. Pilgrims undergo psychological training to face the physical and emotional challenges of the pilgrimage. They are taught strategies to manage stress, stay motivated, and maintain inner peace to serve with focus and calmness. Additionally, the pillars of pilgrimage health also include vaccination and disease prevention. Pilgrims must receive specific vaccinations, such as meningitis and influenza, to prevent the spread of diseases. Infection prevention recommendations, such as regular handwashing, wearing masks, and avoiding contact with sick individuals, are also part of the health pillars of the pilgrimage.
MANAJEMEN PELAYANAN DALAM MENINGKATKAN MINAT CALON JAMA’AH HAJI DAN UMROH PADA PT. TOUR AND TRAVEL AULIYA PERKASA ABADI DI PASAMAN BARAT
Authors: Anesta Khaira Lasmi , Kenedi Jon
Published: January 2024

This research evaluates the service management of PT. Auliya Tour and Travel in the implementation of Hajj and Umrah. The research method used is qualitative with data collection techniques through interviews, observations, and documentation. Primary data is obtained directly from the company's director, while secondary data comes from theories, documentation, and interviews. The research results indicate that PT. Auliya Tour and Travel implements service management by setting a target of approximately 5000 pilgrims per year. A clear organizational structure is used to direct the implementation towards achieving the goals. Training in manasik guidance and health checks such as meningitis vaccinations is conducted as preparation. In Mecca, there are studies conducted by mutawwif to enhance the pilgrims' insights. Supervision is carried out directly by the director and indirectly through WhatsApp applications, as well as performance reports submitted by department heads or divisions to the director. This management process aims to ensure the perfection and satisfaction of the implementation of Hajj and Umrah for the pilgrims.
EFFECTIVENESS OF PROMOTION (CONVENTIONAL AND SOCIAL MEDIA) AND LEVEL OF EASY SERVICE OF HAJJ AND UMRAH MANAGEMENT BUREAU OR AGENT IN THE PANTURA REGION
Authors: Susdarwono Endro Tri
Published: January 2024

Promotional activities increase product/service knowledge and consumer's perceived value, thus further increasing their desire to make purchases.This research aims to examine the effectiveness of promotions (conventional and social media) and the level of service convenience of Hajj and Umrah management bureaus or agents in the Pantura area. The approach used in the research is quantitative descriptive. The data collection technique uses a questionnaire with purposive sampling type. The respondents used in this research came from Tegal City and Tegal Regency. The technique for analyzing data applies hypothesis testing based on changes in the Cochran version and analysis of variance through Friedman's two-way level. This research concluded that based on testing the Cochran version of the change hypothesis (Cochran change test), it was concluded that the five promotional means, both conventional and social media, used by Hajj and Umrah bureaus or agents had significant differences in effectiveness. Meanwhile, based on analysis of variance through Friedman's two-way level, the final conclusion was that respondents had significant differences in preferences for the four bureaus or agents for the level of convenience of Hajj and Umrah services. The suggestion from this research is that further research is needed to ensure that promotional tools have a better level of effectiveness than the five promotional tools from this research. And it is recommended to test the hypothesis with a more comprehensive method related to measuring the level of ease of Hajj and Umrah services.
Charles Sanders Peirce and the Place of Chaos in the New World Order
Authors: Ratnikov Volodymyr
Published: January 2024

This preprint examines the main ideas of the metaphysics of the prominent American logician and philosopher Charles Peirce. It is shown that a significant part of his "scientific metaphysics" is evolutionary cosmology, characterized, in particular, by the essential role of randomness in the world. Among the innovative ideas of evolutionary cosmology, the idea of the chaotic beginning of the Universe and constructive understanding of randomness stands out. The preprint shows that this idea echoes some modern problems of quantum-relativistic cosmology, and first of all, the problems of the still popular "inflationary model", in which the idea of the chaotic beginning of the evolution of the Universe is one of the central ones.
Thermoelectric properties of the modified natural aluminosilicates
Authors:   V.I. Vernadsky Institute of General and Inorganic Chemistry of the National Academy of Sciences of Ukraine, Boychuk O.V. , Pletenets Ye.S. , Pershina K.D.
Published: January 2024

Natural layered bentonite and its artificial modifications have attracted growing interest in converting low-grade thermal energy into electricity. However, a substantial improvement in the thermoelectrical performance of modified clay remains a significant challenge. Modification is one way to solve the rising thermoelectrical efficiency of clays. Natural bentonite is a promising material for modifications by phosphate ions and magnetite because it is easily prepared in the water media. Such modifications demonstrated high thermoelectrical performance (increasing the Seebek coefficient by two times), thermostability, and durability. IR spectroscopy, X-ray diffraction analysis, atomic absorption spectroscopy, surface area measurements, SEM microscopy, and electrochemical impedance spectroscopy measurements have given the possibility to detect differences in the thermoelectric behavior of the natural and modified bentonite. Magnetite in bentonite enhances the Seebeck coefficient via localization of charge distribution and change in the size of pores, enlarging the non-linear distribution of the electrostatic capacitance due to changing the distribution of the absorbed water, surface, and structure's OH– groups in the natural bentonite. The modification by magnetite decreases the size of the pores to 50–100 nm in bentonite and increases the Seebeck coefficient by 30% on average. The incorporation of phosphate ions causes the decrease of the thermoelectric effect under rising the temperature. Design by PO43– increases the pore sizes more than two times and drops the Seebeck coefficient by 70% on average.
Analisis faktor risiko karies gigi anak prasekolah di taman kanak-kanak
Authors: Adnani Hariza , Amalia Febbika
Published: January 2024

Data dari UKGM Puskesmas Banguntapan I Bantul menunjukkan 100% kasus karies gigi ditemukan pada anak usia prasekolah di TK Pertiwi 27 Kretek dan TK PKK III Plakaran. Tujuan penelitian ini adalah untuk mengetahui faktor risiko karies gigi pada anak usia prasekolah. Penelitian ini merupakan penelitian kuantitatif analitik dengan metode penelitian cross sectional. Populasi yang digunakan adalah 20 anak TK A di TK Pertiwi 27 Kretek dan PKK III Plakaran Baturetno. Sampel diambil dengan menggunakan purposive sampling. Data dianalisis dengan Chi Square dan Odd Ratio. Hasil penelitian menunjukkan ada hubungan antara pemberian susu botol dengan karies gigi dengan p = 0,017 dan OR = 1,448 (95% CI 1,448-2,804). Ada hubungan antara usia dini menggosok gigi dengan karies gigi dengan nilai p = 0,011 dan OR = 1,647 (95% CI1,223-2,219). Ada hubungan antara pengawasan dalam menyikat gigi dengan karies gigi dengan nilai p=0,000 dan OR=3,000 (95% CI1,467-6,137). Ada hubungan antara kunjungan ke dokter gigi dengan karies gigi dengan nilai p=0 ,000 dan OR= 11,000 (95% CI 1,697-71,282). Terdapat korelasi antara frekuensi konsumsi kariogenik dengan karies gigi dengan p=0,000 dan OR= 37,800 (95% CI 3,781-377,910). Kesimpulan yang dapat diambil adalah ada hubungan dan peningkatan risiko antara pemberian susu botol, usia dini menggosok gigi, pengawasan dalam menggosok gigi, kunjungan ke dokter gigi atau fasilitas kesehatan gigi, konsumsi makanan kariogenik dengan kejadian karies gigi. Faktor risiko yang paling dominan adalah konsumsi makan kariogenik.
Faktor yang mempengaruhi kecemasan pada santri setelah Covid-19 pandemi di pondok pesantren
Authors: Asri Yuni
Published: January 2024

Pandemi Covid-19 telah memberikan dampak yang signifikan pada berbagai aspek kehidupan global, termasuk pendidikan dan kesejahteraan mental, termasuk kecemasan, sehingga penanganan masalah kesejahteraan mental santri menjadi semakin penting. Tujuan penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi kecemasan pada santri setelah Covid-19 Pandemi di Pondok Pesantren Jawa Timur Indonesia. Desain yang digunakan dalam penelitian ini adalah cross sectional, dan dilakukan di beberapa Pondok Pesantren Jawa Timur yaitu Malang, Jombang, Mojokerto, dan Bojonegoro dengan teknik pengambilan sampel purposive sampling dengan jumlah 425 responden. Instrumen pengukuran ini menggunakan kuesioner DASS-21 untuk menilai kecemasan dan hasil analisis bivariat menggunakan chi-square dan multivariate regression logistic analysis. Hasil menunjukkan bahwa sekitar 92,9% santri mengalami kecemasan, secara keseluruhan, hanya frekuensi kunjungan keluarga yang mempengaruhi kecemasan pada santri setelah Covid-19 Pandemi di Pondok Pesantren dengan nilai odds ratio 4.30 (95% CI: 1.689-10.98). Pentingnya kerja sama dengan staf pondok pesantren dan keluarga santri juga dapat menjadi kunci dalam menjaga kesejahteraan mental para santri, sehingga diharapkan penelitian selanjutnya difokuskan pada layanan
Pengetahuan dan pola makan dengan status gizi siswa SMA Negeri 1 Banguntapan
Authors: Anggoro Sarni , Fitri Anikasari
Published: January 2024

Berdasarkan studi pendahuluan yang dilakukan dengan mewawancarai 10 responden dari kelas XI IPS 3, didapatkan hasil 1 siswa telah mengetahui tentang pengetahuan gizi, sedangkan 9 siswa lainnya belum mengetahui tentang pengetahuan gizi. Diketahui pula, dari 10 siswa ini jarang mengkonsumsi sayur dan buah-buahan, dan sering konsumsi makanan cepat saji. Setelah dikaji lebih lanjut terdapat 1 siswa yang tergolong obesitas dan 2 gizi kurang. Sudah banyak penelitian yang mengkaji tentang hubungan pengetahuan dan pola makan dengan status gizi, namun masing-masing daerah biasanya memiliki karakterisitik tersendiri terkait tema tersebut, dengan ini perlu dilakukan penelitian mengenai hubungan pengetahuan dan pola makan dengan status gizi siswa di SMA Negeri 1 Banguntapan Bantul. Tujuan penelitian, untuk mengetahui hubungan pengetahuan dan pola makan dengan status gizi pada Siswa SMA Negeri 1 Banguntapan. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan cross sectional. Teknik sampling yang digunakan adalah total sampling dengan jumlah sampel 109 siswa kelas XI IPS Negeri 1 Banguntapan Bantul Yogyakarta. Instrumen penelitian yang digunakan berupa kuesioner, timbangan injak, Microtosie. Analisa data menggunakan chi-square. Hasil penelitian menunjukkan ada hubungan antara pengetahuan dengan status gizi dengan nilai p-value (0,026)<(0,05) dan tidak ada hubungan antara pola makan dengan status gizi dengan nilai p-value (0,921)>(0,05). Disimpulkan dari penelitian yang dilakukan yakni ada hubungan antara pengetahuan dengan status gizi siswa dan tidak adanya hubungan antara pola makan dengan status gizi siswa SMA Negeri 1 Banguntapan Bantul
PELATIHAN DAN SOSIALISASI UJI SERTIFIKASI KOMPETENSI TEKNIS BNSP SEBAGAI SARANA PENINGKATAN KOMPETENSI KEAHLIAN
Authors: Rianto Bayu , Jalil Muhammad , Chrismondari  , Muni Abdul , Sudeska Endy
Published: January 2024

Sertifikasi kompetensi adalah proses pemberian sertifikat yang dilakukan secara sistematis dan obyektif melalui asesmen kompetensi yang mengacu kepada standar kompetensi kerja nasional, standar internasional, dan/atau standar khusus lainnya. Pelaksanaan asesmen kompetensi telah diatur pemerintah Indonesia melalui Peraturan Pemerintah (PP) No. 10 Tahun 2018 yang menugaskan Badan Nasional Sertifikasi Profesi (BNSP) sebagai lembaga yang bertugas untuk memastikan pengembangan kompetensi di Indonesia. Berdasarkan kebijakan tersebut, BNSP merupakan lembaga yang sah dan berwenang untuk menerbitkan sertifikasi kompetensi. Sertifikat kompetensi yang diterbitkan oleh BNSP sesuai dengan hasil uji sertifikasi yang diselenggarakan oleh Lembaga Sertifikasi Profesi (LSP) terlisensi. Tujuan kegiatan pengabdian masyarakat ini adalah memberikan sosialisasi dan pelatihan skema sertifikasi teknis BNSP dimana Kegiatan ini ditujukan untuk karyawan/pegawai atau calon karyawan/pegawai di instansi atau perusahaan, serta lulusan SMK Sederajat, alumni dan mahasiswa. Kegiatan dilakukan dengan melakukan sosialisasi dan pendampingan kepada calon peserta uji kompetensi. Diharapkan kegiatan ini dapat memberikan manfaat atas permasalahan yang secara umum sering dihadapi terkait pemahaman mengenai skema sertifikasi teknis dari LSP dan BNSP.
Automated Text Summarization as A Service
Authors: Shahapure Ketan , Shivadekar Samit , Vibhute Shivam , Halem Milton
Published: January 2024

Recent advancements in technology have enabled the storage of voluminous data. As this data is abundant, there is a need to create summaries that would capture the relevant details of the original source. Since manual summarization is a very taxing process, researchers have been actively trying to automate this process using modern computers that could try to comprehend and generate natural human language. Automated text summarization has been one of the most researched areas in the realm of Natural Language Processing (NLP). Extractive and abstractive summarization are two of the most commonly used techniques for generating summaries. In this study, we present a new methodology that takes the aforementioned summarization techniques into consideration and based on the input, generates a summary that is seemingly better than that generated using a single approach. Further, we have made an attempt to provide this methodology as a service that is deployed on the internet and is remotely accessible from anywhere. This service provided is scalable, fully responsive, and configurable. Next, we also discuss the evaluation process through which we came up with the best model out of many candidate models. Lastly, we conclude by discussing the inferences that we gained out of this study and provide a brief insight into future directions that we could explore.
The Challenges of Utilizing Information Communication Technologies (ICTs) in Agriculture Extension
Authors: Kataria Bhavesh
Published: January 2024

The use of Information and Communication Technologies (ICTs) in agriculture and rural development has surged in the past decade. Growing attention has focused on the contributions of these technologies to agriculture and rural development. ICT includes computers and communication technology along with associated software. The activities of generating, processing, transmitting, disseminating, sorting, archiving and retrieving information constitute the information industry. Innovation in ICT to an increase agriculture production and helps farmer’s in decision making in growth of their crops. ICTs have the potential to reach many farmers with timely and accessible content. But the content that the ICTs deliver has more relevance if it is localized and context specific, as this improves the value and action ability of the information, which can have important impacts on farm management. In this paper covered challenges of utilizing ICT in agriculture extension, as ICT took initiate many projects agriculture development, many of these projects were started by NGOs, private organisations, cooperative bodies and governmental organisations.
Entre páxinas cheas de historias: Os libros de Manuel Murguía na Real Academia Galega
Authors:   Real Academia Galega, Pereira González Fernando
Published: January 2024

Manuel Murguía foi unha das personalidades máis importantes de Galicia durante a segunda metade do século XIX e comezos do século XX. A súa vida estivo consagrada a dar a coñecer a historia e a cultura galegas para dignificalas entre os seus contemporáneos. Foi tamén unha vida que transcorreu entre papeis escritos, pois o seu continuo labor a prol de Galicia levouno a consultar unha gran cantidade de libros, de revistas e de manuscritos, moitos dos cales ademais formaron parte da súa biblioteca persoal. Grazas a que gozou dunha longa existencia e a que tivo unha intensa actividade intelectual, esa biblioteca chegou a contar con centos de volumes de temática variada, aínda que cun claro predominio da historia, da literatura e da arte. Nas páxinas deste traballo presentamos o catálogo dos materiais impresos —libros, folletos e revistas— procedentes da biblioteca persoal de Manuel Murguía que hoxe se conservan na Real Academia Galega, unha institución da cal el foi un dos fundadores orixinais e o seu primeiro presidente entre 1906 e 1923. Con esta publicación queremos dar a coñecer cales foron as páxinas impresas que pasaron polas súas mans e tamén ofrecer unha ferramenta que sirva para afondar na súa vida e na súa obra. Por último, temos a esperanza de que este catálogo contribúa a que Murguía sexa recoñecido como un dos grandes intelectuais galegos do século XIX.