bluuebunny/crossref_metadata_2025 huggingface dataset:
IR detection module with integrated real-time FIR filter implemented in FPGA
Authors: Achtenberg Krzysztof , Mikołajczyk Janusz , Bielecki Zbigniew
Published: March 2024

Infrared detectors are usually characterized by 1/f noise when operating with biasing. This type of noise significantly reduces detection capabilities for low-level and slow signals. There are a few methods to reduce the influence of 1/f noise, like filtering or chopper stabilization with lock-in. Using the first one, a simple 1st-order analog low-pass filter built-in amplifier usually cuts off 1/f noise fluctuations at low frequencies. In comparison, the stabilization technique modulates the signal transposing to a higher frequency with no 1/f noise and then demodulates it back (lock-in amplifiers). However, the flexible tuned device, which can work precisely at low frequencies, is especially desirable in some applications, e.g., optical spectroscopy or interferometry. The paper describes a proof-of-concept of an IR detection module with an adjustable digital filter taking advantage of finite impulse response type. It is based on the high-resolution analog-to-digital converter, field-programmable gate array, and digital-to-analog converter. A microcontroller with an implemented user interface ensures control of such a prepared filtering path. The module is a separate component with the possibility of customization and can be used in experiments or applications in which the reduction of noises and unexpected interferences is needed.
Doctoral Theses in the Digital Age – ICT use by Social Sciences PhD Students of The Maria Grzegorzewska University
Authors: Romaniuk Miłosz W. , Szarfenberg Aneta , Pawłowska Izabela , Choszczyk Katarzyna
Published: March 2024

The article is a result of a complementary advanced publication workshop accompanying the curriculum course exercises for PhD students, on the role of ICT in the research work of a scientist. To fulfill the extended course requirements the participants decided to write relevant paper, if possible, related to their individual research endeavors and their relations to the digital world. The paper consists of a collection of short chapters written by young researchers. They express their own views, based on early research experience, relevant generally to the inclusion of critical digital age components in their theses. The chapters are only moderately consulted by the tutor in the direction of finding a common denominator related to social sciences.
The effect of meteorological conditions on the course of development stages and yield of winter wheat in southern Poland
Authors: Skowera Barbara , Kulig Bogdan , Ziernicka-Wojtaszek Agnieszka , Grygierzec Wiesław , Ziółkowska Elżbieta , Lepiarczyk Andrzej
Published: March 2024

Yield and the course of crop vegetation are the result of the interaction between the level of cultivation technology and the course of meteorological conditions, which are a variable production factor. The aim of the study was to quantify the effect of meteorological conditions on the course of development stages and yield of winter wheat cultivated in two technological variants (A1 – medium-intensive and A2 – intensive). The paper uses data on yield and timing of winter wheat development stages from four Experimental Stations for Variety Testing (Pol. Centralny Ośrodek Badania Odmian Roślin Uprawnych – COBORU) experimental stations from 2007–2016 located within the Upper Vistula and Upper Oder River basins. To determine the dependence of the length of development stages of winter wheat on the values of selected meteorological elements, the linear regression metod, correlation coefficient. It was found that the lengths of the selected developmental stages are positively correlated with air temperature and negatively correlated with the sum and number of days with precipitation in these stages. A 1°C increase in air temperature resulted in a shortening of the shooting – heading and heading – full maturity periods by 2.5 and 2.8 days respectively. An increase of 100 mm of precipitation in the periods sowing – full maturity and heading – full maturity resulted in an increase of these periods by 5 and 10 days. Increasing the number of days with precipitation by 10 days in the sowing – full maturity and heading – vax maturity stages resulted in extending these stages by 4.1 to 4.4 and 7 to 7.5 days for the A1 and A2 cropping technologies, respectively.
Sustainability evaluation of a smallholder cocoa plantation on the Sebatik Island, Indonesia, using a multidimensional scaling approach
Authors: Hidayanto Muhamad , Fiana Yossita
Published: March 2024

The Sebatik Island is one of the main cocoa-producing regions in Indonesia, but its productivity has been reported to be below the potential production volume. Therefore, this study aims to evaluate the sustainability index for smallholder cocoa plantations on the Sebatik Island using the multidimensional scaling (MDS), known as the RAP- SEBATIK (rapid appraisal for cocoa on Sebatik Island) that adopts from the RAPFISH (Rapid Appraisal for Fisheries). The MDS was used to evaluate the sustainability status of cocoa across six dimensions, while the leverage analysis was applied to identify the status of the most influential attributes of each dimension. The results showed that the average sustainability index value for such dimensions as ecological, economic, sociocultural, infrastructural and technological, law and institutional, as well as defence and security was 46.23, 48.58, 75.20, 40.49, 36.39, and 36.39%, respectively, based on the current conditions. According to these findings, only the sociocultural dimension was sustainable in smallholder cocoa plantations on the Sebatik Island. The main attributes that need improvement for the sake of sustainability apply to the following dimensions: ecological, economic, sociocultural, infrastructure and technology, law and institutional, as well as defence and security. Attributes that need intervention are the average age of cocoa, the community’s level of formal education, fertilisers application for cocoa, the operation of a shop for agricultural production facilities, and defence and security facilities and infrastructure.
Co dalej z oceną parametryczną?
Authors: Kundzewicz Zbigniew
Published: March 2024

Nauką zajmuje się wiele milionów ludzi na całym świecie, dlatego potrzebne są narzędzia wspierające decyzje o kierunkach strumieni finansowania. W wielu krajach wykorzystuje się w tym celu wskaźniki bibliometryczne, które stały się praktyczną „walutą”, umożliwiającą prostą i wygodną wycenę naukowca lub instytucji naukowej. Polska ma skomplikowany system ewaluacji, z licznymi słabościami. Szczególne zastrzeżenia dotyczą listy rankingowej nauk czasopism, która w latach 2021–2023 została arbitralnie zmieniona w kierunku promującym czasopisma krajowe, niewytrzymujące międzynarodowej konkurencji. Od grudnia 2023 powszechna jest świadomość kardynalnych słabości istniejącego systemu ewakuacji. Konieczne było przyjęcie szybkiego rozwiązania awaryjnego, w celu umożliwienia ewaluacji za lata 2022–2025. Jednak niezbędne jest przemyślenie przyszłego systemu oceny. Autor proponuje obiektywizację oceny parametrycznej, która w sposób systemowy zmniejszałaby ryzyko patologicznego rozwoju sytuacji.
Profesor Ida Kurcz (1930–2024) Pierwsza Dama psycholingwistyki w Polsce
Authors: Bokus Barbara
Published: March 2024

Profesor Ida Kurcz zmarła 25 stycznia 2024 roku. Nauka polska straciła wybitną Uczoną o niekwestionowanym autorytecie w świecie. To ona wprowadziła psycholingwistykę do krwioobiegu polskiej psychologii i nadawała ton jej rozwojowi. Nie bez przyczyny była tytułowana Pierwszą Damą psycholingwistyki w Polsce. Niniejszy tekst przypomina Jej biografię, osiągnięcia naukowe, dydaktyczne i organizacyjne.
Wspomnienie o Profesorze Piotrze Węgleńskim
Authors: Bartnik Ewa , Stępień Piotr P.
Published: March 2024

19 stycznia 2024 r. zmarł prof. Piotr Węgleński, wybitny genetyk, członek Polskiej Akademii Nauk, były rektor i prorektor Uniwersytetu Warszawskiego. Był odpowiedzialny za początki inżynierii genetycznej w Polsce. Wybitny nauczyciel akademicki, wspaniały popularyzator, i świetny Szef – tak go zresztą nazywaliśmy. Od początku swojej kariery naukowej związany z Uniwersytetem Warszawskim, gdzie pracował do końca na Wydziale Biologii, a w ostatnich latach także w Centrum Nowych Technologii.
Unilateral nephrectomy in dogs is associated with a high rate of intraoperative and postoperative complications
Authors: Johnson Carley , Piegols Hunter , Lapsley Janis , Selmic Laura E.
Published: March 2024

OBJECTIVE

To determine the incidence of complications in the intraoperative and postoperative period for dogs undergoing nephrectomy for renal disease.

ANIMALS

69 dogs.

METHODS

Medical records of dogs undergoing nephrectomies for renal disease were reviewed for signalment, date of surgery, results of blood analyses, and intra- and postoperative complications. Long-term follow-up was obtained via client telephone interview or referring veterinarian medical records. A Fisher exact test was used to assess the relationship between postoperative acute kidney injury and NSAID administration with long-term development of chronic kidney disease.

RESULTS

Complications occurred in 44.9% and 42.6% of dogs in the intraoperative and postoperative periods, respectively. Most of these were lower-grade complications, though a total of 7 dogs died during the postoperative period. An acute kidney injury was diagnosed in 12 dogs postoperatively, with 2 dogs euthanized due to the severity of the injury. Long-term follow-up was available for 53 dogs, with 24 (45.3%) dogs developing chronic kidney disease. Postoperative acute kidney injury (P = .385) and NSAID administration (P = .519) were not statistically associated with the development of chronic kidney disease in this population.

CLINICAL RELEVANCE

Unilateral nephrectomy is associated with high intraoperative and postoperative complication rates in dogs. Chronic kidney disease was diagnosed in almost 50% of the population with available long-term follow-up.
Virtual Simulation Research on Resonance Box Vibration Characteristics of College Symphony Orchestra Driven by Artificial Intelligence Technology
Authors: Wang Xinye , Zhang Xiaomei
Published: March 2024

This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college symphony orchestra to improve the understanding and optimization of the acoustic performance of the instrument. The study uses the finite element method and digital waveguide technology to simulate and analyze the vibration characteristics of the stringed resonating musical instrument, which is realized by the vibration equation of an ideal string and the principle of digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic characteristics of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.
Analysis and Modeling of Geodetic Data Based on Machine Learning
Authors: Wu Tong
Published: March 2024

This paper underscores the significance of earth deformation observation in analyzing earth tide curves and predicting earthquakes, positioning it as a cornerstone of Earth observation technology. We delve into the critical task of detecting and diagnosing anomalies in geodetic data. Utilizing Python for data preprocessing, our approach identifies missing values, categorizes them by their spatial occurrence, and employs spline interpolation and autoregressive prediction methods for data imputation. This process ensures the integrity of the dataset for subsequent analysis and modeling, reinforcing the precision and reliability of geodetic data analysis in Earth science research.

For problem I To expand the data set, we propose three models.

Model I: Adding gaussian noise to the data.

Model II: Resample the data.

Model III: Using machine learning methods to learn the internal laws of the data and predict itself to generate new data. For each model, we discuss its advantages and disadvantages. Finally, we structurally fuse the three models to complete data enhancement.

For problem II To extract the noise, we use DB4 wavelet transform to denoise the data set and extract the noise. Then we make descriptive statistics on the noise distribution, and use Laplace distribution to fit the probability distribution of noise, and finally get the accurate noise distribution.

For problem III We start from the time domain and frequency domain to extract the features of the data. First, 17 features are extracted in the time domain, then the discrete fourier transform algorithm is used to transform the data into frequency domain data, and 13 are extracted. Therefore, we encode each data as a feature vector with a length of 30. We first use the decision tree as the baseline model to establish the recognition model to select the features. Logistic Regression, KNN, Naive Bayes and SVM are used to establish the recognition model. Finally, we use the Voting ensemble learning method to fuse the model, achieving an accuracy of 86% on the test set.
Innovation and Practice of Public Management Mode in Colleges and Universities under the Background of Informatization
Authors: Ma Ting
Published: March 2024

This study addresses the challenges faced by traditional public management in universities due to advancements in educational information technology and the growing scale of higher education institutions. We propose a novel public management model for universities that leverages “Internet+” concepts, aiming to enhance internal audit systems and the competencies of management personnel. We use the AHP-TOPSIS fusion algorithm to assess the model’s impact on campus infrastructure and services management, selecting a central Chinese university for empirical Analysis. The findings reveal substantial improvements in campus road and landscape management, with weight values of 0.785 and 0.736, respectively, and a 74.67% satisfaction rate among students regarding cafeteria services. The success of this model demonstrates its effectiveness and introduces a forward-thinking approach to university management.
Impacts of climate change on hydrological hazards: mechanisms, predictions and coping strategies
Authors: Lu Yan
Published: March 2024

Climate change is triggering more frequent and intense hydrological disasters, which significantly impact society and economy. This paper discusses the specific impacts of these changes on hydrological hazards. It analyzes the early warning mechanism, risk assessment, and coping strategies to provide a scientific basis for effective response. This paper aims to explore the impact of climate change on hydrological disasters and develop effective prediction and response strategies. The effects of climate change on the mechanisms of hydrological disasters, risk assessment theory, influencing factors, and early warning mechanisms is studied through a comprehensive analysis method. According to the study, climate change significantly impacts the frequency and intensity of hydrological disasters. In a particular region, there has been a 30% increase in the frequency of floods caused by heavy rainfall over the past 20 years, leading to a 40% increase in economic losses. In addition, climate model-based risk assessment methods effectively predicted the potential impacts of these disasters. The study revealed that enhancing early warning systems and raising public awareness can reduce catastrophe risk. Climate change significantly impacts hydrological hazards, and more systematic and integrated management strategies are needed to reduce their impacts.
Research on Substation Network Security Situational Awareness Strategy and Equipment Remote Operation and Maintenance
Authors: Bai Jing , Jiao Jianlin , Han Meng , Zhou Xianfei , Liu Chao
Published: March 2024

Substation network security is the key to maintaining the stable operation of power systems. In the face of growing threats of network attacks, traditional security protection measures have been brutal to meet the needs of modern power systems. Research on substation network security, situational awareness strategies, and remote operation and maintenance of equipment is essential to improve network defense capability and ensure the continuity and reliability of power supply. This study explores effective security situational awareness methods and remote operation and maintenance techniques to provide new solutions for substation network security. This paper builds an efficient network attack detection model by introducing linear discriminant analysis (LDA) and radial basis function (RBF) neural networks. The experiment uses the KDD Cup99 dataset, which is preprocessed to provide the model training and testing data. The LDA-RBF model in this paper outperforms the traditional RNF neural and BP neural networks regarding recognition rate. Specifically, the recognition rate reaches 90.2% for the Smurf attack and 100% for the Ipsweep attack. The proposed model of the study also performs well in terms of leakage and false alarm rates, with an overall recognition rate of 97.00%. This study proposes a network security situational awareness strategy and equipment remote operation and maintenance method that can effectively enhance substation networks’ security and operation and maintenance efficiency.
Deep Learning Model Based Behavioural Recognition Technology for Electricity Operators and Its Safety Guardianship Analysis
Authors: Ye Ligang , Xu Guohui , Zhu Jiyang , Wu Shengli , Qiu Kaiyi , Li Jingya , Zhang Zhengchao
Published: March 2024

This study leverages the Openpose system to capture skeletal key points of electric power operators, simplifying network complexity by sharing convolutional layers during the ReLU activation phase. We introduce a graph convolutional network (GCN) to model these skeletal sequences, creating a spatio-temporal deep learning approach for behavior recognition. Tested on a relevant dataset, our Openpose-GCN network demonstrates stability with a training loss of 0.11 after 700 iterations, achieves over 90% accuracy in recognizing operator actions and behaviors, and maintains a recognition error below 0.003 for operations with varying risk levels. These findings underscore the potential of our approach to enhance electric power operation safety through real-time risk warning and control.
Applying Deep Learning Algorithms for Automatic Recognition and Transcription of Texts in Oracle Bones and Golden Texts
Authors: Qiao Yingjie , Xing Lizhi
Published: March 2024

This paper explores applying deep learning techniques for automatically recognizing and transcribing oracle bone and gold texts. We significantly enhance model recognition efficiency by leveraging the power of Generative Adversarial Networks (GANs) for image data enhancement and the Pix2Pix model for text repair. Our approach integrates the ResNet50 model for robust feature extraction with unsupervised domain adaptation, utilizing multiple pseudo labels to achieve efficient text recognition and transcription. We improve the model’s repair capabilities by generating hard-to-distinguish sample data through GANs and employing a U-Net-based text repair model enhanced with dense connectivity and spectral normalization. Further, combining ResNet50 for feature extraction and advanced domain adaptation techniques strengthens the model’s generalization. Our results on the Oracle dataset show an increase in recognition accuracy from 82% to 94.5%, highlighting the effectiveness of our image enhancement strategies. The ResNet50 extractor outperforms others across various Intersection over Union (IoU) metrics, establishing its feature extraction superiority. In real-world scenarios, testing with a combined Oracle and Jinwen dataset yields a recognition accuracy above 80%, demonstrating our model’s ability to effectively fulfill the recognition task. This research underscores the potential of deep learning algorithms in automating the recognition and transcription of ancient texts, offering a novel solution that significantly boosts recognition accuracy through a synergistic blend of image enhancement, feature extraction, and domain adaptation techniques.
Research on the integration and development of public management strategies and rural e-commerce based on the integration model
Authors: Li Xiaoxiao , Zhuo Pan , Zhang Hua
Published: March 2024

This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach that incorporates Deep Belief Networks (DBNs) and weight-sharing to achieve a 40% data compression rate. This advancement significantly lowers storage and energy costs while enhancing computational efficiency. Furthermore, we devise a rural e-commerce logistics and distribution model optimized through an ant colony algorithm to maximize profits and demand coverage. The application of this Model has led to a 20% increase in profits and a surge in demand coverage to 90%, showcasing the efficacy of fusion models in streamlining rural e-commerce logistics. These insights contribute to the broader discourse on innovative public management strategies.
CiteSpace-based Visualization and Analysis of Knowledge Graph in International Supply Chain Domain
Authors: Yang Xiaopeng
Published: March 2024

Along with globalization and technological advances, the complexity and dynamics of international supply chains are increasing. Using CiteSpace to visualize and analyze the knowledge map of the global supply chain helps to deeply understand the industry’s development trends and essential elements. The knowledge map of the international supply chain field is visualized and analyzed using CiteSpace software in this paper, which uncovers the key components and development trends in the field. The study involves collecting and analyzing relevant literature from 2009 to 2021, and applying techniques such as word frequency analysis, co-occurrence network construction, and spectral clustering algorithms to map the knowledge map. Supply chain management, supply chain resilience and risk management are the most popular topics in the supply chain field, in which the word “supply chain management” has a co-occurrence frequency of 485 times, with a centrality of 0.457. Using the spectral clustering algorithm, we identify several key research clusters and find that “supply chain security” has become a recent research topic. Security” has become a hot research topic recently. Research in the field of supply chain is gradually focusing on improving chain flexibility and reducing risks. There is increasing interest in the trend of supply chain futurization and intelligence.
Knowledge Mapping Applied to the Construction of a Theoretical Resource Base for Teaching English at the University Level
Authors: Xie Xia
Published: March 2024

In the evolving field of educational technology, knowledge mapping has emerged as a pivotal tool for university English education. This study examines its role in building a theoretical resource base to enhance the efficiency of organizing, accessing, and utilizing teaching materials. This research constructs a knowledge graph for English teaching resources by employing a seven-step process to create a domain ontology and an enhanced TF-IDF algorithm for keyword extraction. Results show the knowledge graph significantly boosts information retrieval accuracy and user satisfaction. The experimental group reported a 25% increase in learning efficiency, a 30% enhancement in the quality of learning outcomes, and a 12.63% rise in average grades, outperforming the control group. The findings suggest knowledge mapping substantially benefits the development of a theoretical resource base for university English teaching, improving teaching and learning quality.
Research on the Path of Improving Physical Education Teaching in Colleges and Universities Based on Deep Learning
Authors: Yang Hui , Xu Xiaoqin , Shu Bichao
Published: March 2024

This research investigates the application of deep learning to college physical education, proposing an innovative teaching methodology that significantly improves outcomes by fostering students’ practical skills and innovation. We introduce a structured deep learning model encompassing four stages and twelve instructional steps, employing an “independent-cooperative-inquiry” modality in real-world teaching scenarios. Through empirical assessment in various T colleges, notable enhancements were observed in student attitudes toward physical education, collaborative spirit, and physical health, culminating in a 92% satisfaction rate with the teaching approach and an 85% boost in learning effectiveness. Adopting a deep learning-based pedagogy in physical education elevates teaching quality and enriches students’ comprehensive abilities, charting a new course for the pedagogical advancement in this field.
A study of the impact of the two-child welfare policy on the investment cost of urban families’ children’s education--an empirical test based on the HOV model
Authors: Wang Jing
Published: March 2024

In recent years, the aging of the population and the tightening of the labor market have made the relaxation of the two-child policy a pivotal measure to promote population growth. As an essential part of socio-economic development, urban families’ changes in the cost of their children’s education investment under the two-child policy are significant in understanding the policy effect and optimizing the demographic structure. This paper analyzes the impact of the two-child welfare policy on urban families’ education investment costs using the HOV model to provide data support and decision-making reference for policy formulation. The research methods include analyzing the distribution of educational resources, predicting the impact of the two-child policy on the cost of educational investment using the HOV model. The cost of educational investment for urban families increased significantly after the two-child policy was implemented. The average price of educational investment increased by 15%, and the impact was more noticeable for low-income families. The two-child policy is beneficial for population growth but also increases urban families’ educational burden. It is recommended that the Government optimize the relevant welfare policies to reduce the burden on families, and at the same time improve the allocation efficiency of educational resources to ensure the sustainability and fairness of the policy.
Synergistic emulsification of polyetheramine/nanofluid system as a novel viscosity reducer of acidic crude oil
Authors: Cao Yang , Guo Yanlin , Wu Tao , Sun Dejun
Published: March 2024

Oil is a critical raw material for energy and industry, the depletion of conventional oil reserves necessitates efficient extraction and production of unconventional resources like acidic crude oil. However, its high viscosity poses significant challenges for transportation and processing. To address these challenges, this study developed a novel emulsion viscosity reducer. We designed a nanofluid based on a synergistic polyetheramine/nanofluid system consisting of alkyl ethoxy polyglycosides (AEG) as a green surfactant, SiO2 nanoparticles, and an organic alkali polyetheramine. The mixture was evaluated for its viscosity reduction and emulsification performance with acidic crude oi obtained from Qinghe oil production plant in Shengli Oilfield. The results showed that the optimized viscosity reducer achieved a remarkable reduction rate of 98.1% at 50◦C in crude oil viscosity from 6862 mPa·s to 129 mPa·s. This demonstrated the reducer effectively transformed acidic crude oil into a low viscosity oil-in-water (O/W) emulsion with high stability. Furthermore, the core imbibition simulation tests demonstrated that the viscosity reducer could improve the recovery of acidic crude oil from 29.6% to 49.4%, indicating the potential application of the optimized viscosity reducer in the exploitation of acidic crude oil. In conclusion, this study developed a novel emulsion viscosity reducer, which can reduce the viscosity and improve recovery of acidic crude oil by emulsifying into O/W emulsion. The optimized formula has potential for practical application in the exploitation of acidic crude oil.
Pola Asuh Orang tua dalam Perkembangan Jiwa Keagamaan Anak Usia Dini Perspektif Islam
Authors: Harahap Efridawati
Published: March 2024

This journal discusses the crucial role of parental caregiving in guiding the spiritual development of young children, with a focus on the Islamic perspective. Comprehensive caregiving in Islam encompasses various aspects such as worship, religious education, morals and ethics, role modeling, instruction on prayers and supplications, understanding the history of Islam, community engagement, media and environmental control, and open communication with children. The journal also emphasizes the importance of an individualized approach to cater to the unique needs of each child.Keywords: Parental Caregiving, Parents, Spiritual Development, Early Childhood, Islam
Tindakan Bullying terhadap Gender di Lingkungan Sekolah
Authors: Nufus Ajijah Sadiah , Lestari Maya
Published: March 2024

he act of bullying plays a role in self-identity, namely gender, this self-identity consists of male and female. Basically, men and women have their own characteristics of behavior related to acts of intimidation. There are various kinds of bullying, namely bullying through actions, verbal and gadgets. Schools are not spared from an intimidating environment that should create a sense of comfort and safety for students. This study uses a qualitative research case study approach which has three stages, namely data collection, data presentation and data reduction. The fact that the school field is still a place of intimidation or bullying for students and students, educators and students. When a child finds it difficult to do a task and is the last to finish it, they are teased or verbally intimidated, namely "well... it's lousy to collect it late, I'm not smart". When waiting in line to buy food in the canteen where classmate grabs the underclassman's queue by nudging/ elbowing, solid group mates will also intimidate other group mates such as during a ceremony where group mates have to line up close together so that if there are other group members they will be bullied. Where are you friends, don't be here" while mocking, and bullying behavior of educators with students, namely a teacher who should give an example verbally and behavior not bullying, the teacher intimidates students who have tofu flies with a size large enough on the face, mocks by calling "the smudge".
Alat Permainan Edukatif untuk Meningkatkan Perkembangan Nilai Agama dan Moral Anak Usia Dini
Authors: Hasibuan Afrah Nadhilah
Published: March 2024

Tujuan dari penelitian ini adalah untuk meningkatkan alat permainan edukatifdalam pendidikan moral dan agama pada anak usia dini. Penelitian ini menggunakan pendekatan Classroom Action Research (CAR) untuk membantu pendidik anak usia dini dalam menanamkan nilai moral dan agama pada siswanya. Penelitian ini dilakukan di bidang pendidikan anak usia dini di TK Mentari School. Kemajuan signifikan dalam hasil pembelajaran teramati selama siklus I dan II. Rata-rata nilai anak pada pertemuan pertama siklus adalah 52, dengan tingkat kelengkapan sebesar 25%. Nilai rata-rata meningkat menjadi 61 setelah pertemuan kedua, menunjukkan tingkat kelengkapan sebesar 42%. Pada pertemuan ketiga, perkembangan semakin baik dengan tingkat kelengkapan sebesar 50% dan nilai rata-rata 63. Siklus II menunjukkan lebih banyak kemajuan, dengan pertemuan pertama mencatat rata-rata nilai anak sebesar 67 dan tingkat kelengkapan 58%. Pertemuan kedua menunjukkan kemajuan lebih lanjut, dengan nilai rata-rata 75 dan kelengkapan mencapai 75%. Dengan tingkat kelengkapan mencapai 91% dan nilai rata-rata 88, pertemuan terakhir siklus II menunjukkan kemajuan yang mencolok dan menunjukkan efektivitas intervensi pendidikan.
Penetapan Sanksi Qishas Terhadap Tindak Pidana Main Hakim Sendiri Dalam Perspektif Hukum Pidana Islam
Authors: Batu Bara Asmiah , Nasution Muhammad Arsad , Harahap Risalan Basri
Published: March 2024

The problem in this study is regarding vigilante sanctions in the perspective of Islamic criminal law. Because there are no regulations or laws governing vigilante sanctions. This type of research is field research using normative legal and empirical legal approaches. The data source for this research comes from primary data and secondary data. The primary data source is the Investigator from the Criminal Investigation Unit of the Mandailing Natal Resort Police and the secondary data source is books, data, journals and documents. The data collection technique used consisted of interviews, observation, and documentation. Data analysis techniques were descriptive qualitative. The results of this study are that the vigilante sanction in the Mandailing Natal Resort Police area has already been stipulated in accordance with Article 170 of the Criminal Code, but in terms of implementation it has never been carried out because the Resort Police considers that the victim of vigilantism is usually because he was the perpetrator of a previous crime, so the perpetrator is considered as an enemy of society as well. Vigilance in Islamic criminal law already has provisions in which the vigilante is subject to qishas sanctions, but if the victim's family forgives the perpetrator, the sanction is replaced with a diyat.
Tinjauan Yuridis Perbuatan Ingkar Janji (Wanprestasi) Oleh Buruh Tani Ditinjau Dari Kompilasi Hukum Ekonomi Syariah
Authors: Khairani Elfida , Harahap Ikhwanuddin , Harahap Nurhotia
Published: March 2024

The problem in this research is about the practice of broken promises (defaults) by farm workers in the village of Lumban Dolok. This type of research is field research. The primary data source in this study is by conducting direct interviews with farm workers who own the plantation, the Head of Lumban Dolok Village, traditional leaders. while the secondary data is in the form of fiqh muamalah books, and journals related to this research. Data collection techniques using field studies, namely observation, interviews, and documentation. The data analysis technique used in this study is to use a qualitative descriptive method. The results of the study show that the act of breaking a promise (default) by this farm worker begins with a verbal agreement between the owner of the garden and the farm worker in the agreement, one of the points is not being able to cancel the agreement suddenly and not asking for wages before doing the work. . However, in reality, when he was about to implement the farm labor agreement, he canceled the agreement with the garden owner, and asked for his wages on the grounds that he really needed it. This practice of breaking promises (defaults) by farm workers when viewed from a juridical view of this agreement is considered a unilateral cancellation of the agreement without the consent of the other party, in accordance with Article 1338 paragraph (2) of the Civil Code, it is clear that the agreement cannot be canceled unilaterally, because if the agreement is canceled unilaterally, it means that the agreement is not binding between the people who made it. Meanwhile, if viewed from the compilation of sharia economic law, it is explained in article 36 which explains that breaking a promise occurs if you do not do what has been promised, in this case the farm worker does not carry out the agreement in accordance with the agreement and terminates the agreement suddenly without any clear reason. This also contradicts the compilation of sharia economic law article 21 which states that there is no trustworthiness from farm workers, besides that there is also no attitude of openness and good faith from farm workers to find a replacement to be able to continue the agreement that has been canceled.
Tahapan pengembangan koleksi dalam perspektif G. Edward Evans di Perpustakaan STIKES Tri Mandiri Sakti Bengkulu
Authors: Indriyani Meyza , Zulaikha Sri Rohyanti
Published: March 2024

This article discusses the stages of collection development in the perspective of G. Edward Evans at the STIKES Tri Mandiri Sakti Library in Bengkulu. The purpose and benefits of this research are to help and make it easier for librarians to carry out collection development activities. The research method uses field research with a qualitative approach. Data collection methods through observation and interviews. Data analysis through data reduction, data presentation, and conclusions. The results showed, a) user analysis: students, lecturers, and employee staff, b) collection development policies: cooperation between libraries, budgets from the Foundation, procurement of collection types according to the health sector, c) collection selection: collection types, collection criteria, selection tools, and selection methods, d) collection procurement: purchases, donations or gifts, exchanges, and self-publications, e) collection weeding: damaged collections,  not worth using, and the publication of the final project or thesis under the last 5 years, f) evaluation once in 4 years.
Peran Adat Dalihan Natolu dalam Kegiatan Moderasi Beragama di Tapanuli Bagian Selatan
Authors: Kamaluddin Kamaluddin
Published: March 2024

Secara gelobal saat ini, kehidupan antar ummat beragama sedang mengalami konflik, yaitu antara ummat Islam dengan Yahudi di Yerussalem, antara ummat Islam dengan ummat Hindu di India dan ummat Islam dengan China di Rohingya.Tujuan penelitian ini  untuk melihat hubungan antar ummat Islam dan Kristen  (moderasi beragama) dan bagaimana peran adat Dalihan Natolu dalam pesta pernikahan (Siriaon) dan kemalangan (Siluluton). Peneiltian ini dilaksanakan di wilayah Tapanuli Bagian Selatan, yakni di Kota Padangsidimpuan, Kabupaten Tapanuli Selatan, Kabupaten Padang Lawas Utara dan di Kabupaten Mandailing Natal. Di daerah ini toleransi antar ummat beragama berjalan sangat baik dan belum pernah terjadi konflik,  padahal jumlah ummat Islam 85 % sedangkan Kristen hanya 15 %. Dengan pendekatan antropologi, sosiologi dan agama,  data dikumpulkan dan disajikan secara deskriptif kualitatif. Sumber data primer adalah tokoh agama Islam dan Kristen, sumber data sekunder adalah Kepala desa, lurah serta masyarakat. Melalui observasi dan wawancara  menunjukkan hasil bahwa faktor-faktor yang membentuk moderasi beragama antara lain ialah faktor konversi agama, pernikahan silang, faktor adat Dalihan Natolu dan faktor agama,  sehingga masyarakat hidup toleran, kerja sama, musyawarah, gotong royong, membenci kekerasan, berkeadilan dan melaksanakan adat Dalihan Natolu. Dalihan Natolu berperan aktif dalam pelaksanaan adat-istadat. Kahanggi, Anak Boru dan Mora tidak dibeda-bedakan dalam pelaksanaan adat siriaon (pernikahan) dan di kemalangan (siluluton). Jika pesta di rumah muslim, maka makanan tidak ada masalah, sedangkan apabila pesta di rumah kristen, kambing atau kerbau dipotong oleh muslim dan dimasak oleh muslim. Sedangkan bagi ummat kristen yang menggunakan adat Toba, mereka memasak sendiri untuk kristen, sedangkan untuk umat Islam dibeli di rumah makan dalam bentuk nasi kotak. Kahanggi berperan sebagai pendukung utama bagi suhut dalam suatu pesta,  Anak boru juga berperan sebagai penanggung jawab dalam kesuksesan pesta, dan mora berperan sebagai pembimbing dan pemberi dukungan dalam pesta. Dalihan Natolu mengamalkan nila-nilai adat- istiadat Angkola seperti “Itte disiriaon, tangi disiluluton.” Salaklak sasikkoru, sasanggar saria-ria, saanak jana saboru, suang songon namarsada ina”. “Songon siala sampagul, rap tuginjang raptu toru, muda malamun saulak lalu muda madabu rap margulu”. ”Salumpat Saindege, sapangambe sapanaili, sahaccit sapakkilala”.(Kehidupan yang penuh kasih sayang dan saling menghormati dan kerjasama dalam hidup bermasyarakat serta seiya sekata dalam musyawarah).
Dampak Pengelolaan Alokasi Dana Nagari Sebelum dan Sesudah Pemekaran Terhadap Kesejahteraan Masyarakat
Authors: Budi Harahap Aisyah , Alfadri Ferri Alfadri Ferri , Salam Muhri Salam
Published: March 2024

Tahun 2018 Nagari Batahan yang pada awalnya mencakup 26 Jorong dilakukan pemekaran menjadi 5 nagari. Guna dari pemekaran itu adalah untuk memberikan pelayanan dan kesejahteraan kepada masyarakat yang lebih merata juga untuk peningkatan anggaran alokasi dana nagari dan membuka lapangan kerja yang lebih banyak. Rumusan masalah dalam penelitian ini adalah bagaimana pengelolaan Alokasi Dana Nagari (ADN) sebelum dan sesudah pemekaran, bagaimana dampak pengelolaan Alokasi Dana Nagari (ADN) sebelum dan sesudah pemekaran terhadap kesejahteraan masyarakat, apa faktor penghambat pengelolaan Alokasi Dana Nagari (ADN) sebelum dan sesudah pemekaran. Tujuan penelitian ini adalah mengetahui bagaimana pengelolaan Alokasi Dana Nagari (ADN) sebelum dan sesudah pemekaran dan bagaimana dampak pengelolaan Alokasi Dana Nagari (ADN) terhadap kesejahteraan masyarakat di nagari batahan dan nagari pemekaran serta mengatuhi paktor penghambat pengelolaan alokasi dana nagari.Pembahasan penelitian ini berkaitan dengan dampak alokasi dana nagari, teori-teori yang dipaparkan dalam penelitian ini adalah dampak, alokasi dana nagari, pemekaran, kesejahteraan masyarakat, Dan alokasi dana nagari dalam perspektif ekonomi Islam.Penelitian ini adalah penelitian kualitatif, sumber data yang digunakan peneliti adalah sumber data primer dan skunder, teknik pengumpulan data yang digunakan adalah observasi, wawancara dan dokumentasi. Teknik analisis data yang digunakan adalah pengumpulan data, reduksi data, penyajian data, dan menarik kesimpulan. Teknik pengecekan keabsahan data yang digunakan adalah tringulasi sumber dan teknik data, dan menggunkana bahan refrensi.Hasil penelitian ini menunjukkan bahwa sesuai dengan hasil temuan di lapangan menyatakan pengelolaan Alokasi Dana Nagari (ADN) sesuai dengan peraturan pemerintah pasal 5 ayat 1 dan 2, sumber dana dari PAN, Kementerian desa, dan pajak daerah. Dampak dari pengelolaan alokasi dana nagari sebelum pemekaran tidak memberi dampak positif yang adil dan merata bagi masyrakat, sedangkan sesudah pemekaran masyarakat belum mendapat dampak baik, faktor penghambat pengelolaan Alokasi Dana Nagari (ADN) sebelum pemekaran adalah jumlah anggaran yang minim, SDA yang lemah, dan cakupan wilayah yang luas, sedangkan sesudah pemekaran hambatannya adalah belum adanya kantor resmi nagari baru, Covid 19, keterlamabatan anggaran, dan SDA yang masih lemah.
Determining Factors Of Sharia Stock Returns With Bi Rate As A Moderating Variable
Authors: Nurjanah Laila Nida , Khabib Nur
Published: March 2024

Research regarding the factors influencing Shariah stock returns is essential due to the existing disparities where Shariah stock returns continue to exhibit fluctuations amidst the annual increase in the number of issuers and stock investors. The objective of this study is to ascertain the influence of Earnings per Share (EPS), Return on Equity (ROE), and Price to Book Value (PBV) on Shariah stock returns, moderated by the BI rate. The population for this research encompasses all companies listed on the JII for the period 2017-2022. The sampling technique employed is purposive sampling, resulting in a total sample size of 18 companies, yielding 108 observations over a span of 6 years. The data analysis technique utilized is Moderated Regression Analysis (MRA), conducted using Eviews 12 software. The findings of this study reveal that EPS and PBV exhibit a negative and significant impact on Shariah stock returns, while ROE demonstrates a positive and significant influence. The BI rate weakens the influence of ROE on Shariah stock returns, whereas it reinforces the effect of PBV on Shariah stock returns. However, the BI rate does not possess the capability to moderate the impact of EPS. It's important to note that this research is confined solely to companies listed on the JII, consequently suggesting the need for future studies to broaden the population, extend the research period, and incorporate additional variables that may potentially impact Shariah stock returns.
Financial Performance Of Sharia Commercial Banks In Indonesia: Does Capital Structure Matter?
Authors: Syarif Ahmad , Maulana Bisma , Salsabila Zahro , Maulana Angga
Published: March 2024

Islamic banking has experienced a surge in financial growth in the last decade. Global economic challenges have encouraged many conventional banks to transform into sharia banks. Sharia banking can increase its operational efficiency by applying debt and equity financing methods by trade-off theory. This research investigates the effect of capital structure as measured by the debt-to-asset ratio (DAR) and debt-to-equity ratio (DER) on the financial performance of Sharia Commercial Banks as measured by return on assets (ROA) and return on equity (ROE). This research is quantitative with multiple linear regression analysis techniques. The data source comes from OJK Sharia Banking Statistics for 2017-2021. This study shows that DAR and DER have a significant effect on ROA. Apart from that, DAR has a substantial impact on ROE. However, this study indicates that DER does not significantly affect ROE.
A terceira onda de acesso à justiça: da sacralização e legitimação dos tribunais aos cartórios extrajudiais
Authors: Borges de Pietro Lorenzo , Jaques La Flor Martiane
Published: March 2024

O estudo ora apresentado demonstra uma análise acerca da terceira onda de acesso à justiça, vislumbrando a solução consensual do conflito, na figura da mediação, como uma espécie de acesso à justiça. Parte-se da ideia da ritualística e da condição de autoridade para justificar o serviço extrajudicial como passível de abranger a problemática do acesso à justiça. O método utilizado é o dedutivo com base no silogismo, com pesquisa bibliográfica e documental. Adotou-se o modelo de plano francês, dividindo o artigo em duas partes. N primeira se aborda a terceira onda de acesso à justiça, em especial a conciliação e a mediação como meios de solução consensual de conflitos, ao passo em que na segunda se analisa o papel dos cartórios extrajudiciais como meio de garantir o acesso à justiça. Por fim, através de exemplos empíricos, os quais trazem pragmatismo ao estudo, conclui-se que os cartórios perfazem o acesso à justiça através de uma política de consenso.