bluuebunny/crossref_metadata_2025 huggingface dataset:
Sosialisasi Kehidupan Kampus dalam Memperkenalkan Dunia Perpajakan kepada Calon Mahasiswa Baru
Authors: Eliza Eliza , Wulandari Tamimah Putri , Auliya Dinah
Published: June 2024

Sosialisasi kehidupan kampus dan pengenalan dunia perpajakan kepada calon mahasiswa baru merupakan aspek penting dalam pendidikan tinggi, yang mendukung transisi mereka ke lingkungan akademik dan sosial yang baru. Kegiatan ini tidak hanya membantu calon mahasiswa memahami dan menyesuaikan diri dengan kehidupan kampus, tetapi juga memberikan mereka pengetahuan esensial tentang perpajakan, yang penting untuk pembangunan kewarganegaraan yang bertanggung jawab. Pengetahuan perpajakan membantu mahasiswa mengenali sistem ekonomi dan kebijakan publik, serta dampaknya pada kehidupan sehari-hari, mempersiapkan mereka untuk berpartisipasi secara efektif dalam kehidupan ekonomi dan politik. Kegiatan sosialisasi kehidupan kampus melibatkan orientasi mahasiswa ke dalam struktur akademik dan sosial kampus, pengenalan terhadap kegiatan ekstrakurikuler, serta norma dan nilai yang berlaku. Proses ini membantu calon mahasiswa mengembangkan jaringan sosial, kemandirian, dan persiapan menghadapi tantangan akademik. Pengenalan perpajakan membantu mereka memahami konsep keadilan, efisiensi, dan transparansi dalam tata kelola publik, menguatkan konsep kewarganegaraan aktif. Metode pelaksanaan melibatkan sosialisasi interaktif, diskusi kelompok, dan sesi tanya jawab, memastikan transfer pengetahuan yang efektif. Pembicara dan moderator yang kompeten memainkan peran penting dalam proses pembelajaran. Diskusi kelompok mendorong pertukaran ide dan pengembangan keterampilan kritis dan analitis. Hasil kegiatan menunjukkan antusiasme peserta yang tinggi dan peningkatan pemahaman tentang perpajakan dan kehidupan kampus. Kegiatan ini memberikan kontribusi signifikan dalam membekali calon mahasiswa dengan pengetahuan dan persiapan akademik dan sosial, meningkatkan kesadaran tentang perpajakan dan kewajiban sipil, serta membantu dalam pembentukan sikap dan pemahaman yang mendalam tentang aspek-aspek kehidupan kampus dan perpajakan. Kegiatan ini juga mempersiapkan peserta untuk menghadapi tantangan dan memanfaatkan kesempatan di masa depan, baik dalam konteks akademis maupun sosial. Ini menggambarkan kontribusi penting kegiatan ini dalam perkembangan pribadi dan profesional peserta, mempersiapkan mereka untuk berkembang dan berkontribusi secara efektif dalam masyarakat.
Lemongrass (Cymbopogon citratus) oil nanoparticle synthesis, characteristic, and evaluation of antibacterial and antifungal effects and the influence on hardness of acrylic resin
Authors: Sugiaman Vinna K. , Saputri Rosalina Intan , Naliani Silvia , Amalia Jane , Jeffrey Jeffrey
Published: June 2024

Context: Acrylic resin is used in dentistry as a removable denture base. It can cause various pathologies when not properly cleaned. One of the pathologies is denture stomatitis caused by Candida albicans and Streptococcus mutans accumulation on the acrylic resin surface. Therefore, microbial agents such as denture cleansers are needed. Aims: To evaluate the characteristics of lemongrass (Cymbopogon citratus) nanoparticles as a better antibacterial and antifungal herbal ingredient and their relationship with acrylic hardness. Methods: C. citratus oil nanoparticles (LON) were synthesized and analyzed by transmission electron microscopy (TEM). Electrospray ionization tandem mass spectrometry (ESI-MS) analysis was used to analyze the characteristics of LON bioactive components. Minimum inhibitory concentration (MIC) and minimum bacterial concentration (MBC) against C. albicans and S. mutans and mechanical hardness test of acrylic were performed. Results: The LON concentration of MIC and MBC against C. albicans and S. mutans was 25 and 100%, respectively. One-way ANOVA showed no significant difference between groups of LON with different concentrations (p=0.687). A paired t-test showed significant differences in acrylic resin hardness before and after treatment of LON with 100% (p=0.022) and 50% (p=0.021) concentration. There was no significant difference in hardness before and after treatment of other concentrations of LON and chlorhexidine as positive control. Conclusions: LON treatment on acrylic resin decreased the growth of C. albicans and S. mutans without altering the mechanical properties (hardness).
Morphological Variations and Germination Behaviour of Seeds of Four Fodder Tree Species
Authors: Tomar Anita , Beauty Kumari , Singh Bijay Kumar , Kumar Dinesh
Published: June 2024

The study was conducted for the morphological and germination behavior of four fodder tree species viz., Gmelina arborea, Sesbania grandiflora, Moringa oleifera and Bauhinia purpurea under nursery conditions. The experiment was carried out at the nursery of the ICFRE Eco-Rehabilitation, Prayagraj, Uttar Pradesh, during April 2021 and different germination parameters viz., germination percent, survival percent, germination capacity, germination energy, vigour index, mean daily germination and mean germination time along with seed morphological parameters were studied in four replications. The highest seed length and width was recorded in B. purpurea (17.57 mm ± 2.79) and (13.38 mm ± 1.95) respectively, seed thickness in M. oleifera (10.92 mm ±1.39), the highest seed weight was recorded in G. arborea (65.95 gm ± 0.79). Seeds of S. grandiflora recorded highest germination percent (83.42%), seedling vigour index (762.30), mean daily germination (6.41) and germination index (66.11), highest seed germination capacity value (84.90%), seed germination value (52.50%), highest survival of seedling value (96.16 %) among three other fodder species despite being the smallest seed size. Such an investigation may help in developing conservation strategies in nursery conditions and fodder availability during lean period.
Strengthening the Role of Artificial Intelligence Technology in the Role of Court Judges in Indonesia
Authors: Yanwiyatono Yanwiyatono , Bakir Herman
Published: June 2024

This research explores the strengthening role of artificial intelligence (AI) technology in supporting the duties and responsibilities of court judges in Indonesia. In the digital era, the integration of AI in the judicial system is necessary to improve efficiency, accuracy, and fairness in legal decision-making. This research uses a qualitative method with literature studies, in-depth interviews, and case analysis from other countries that have implemented AI in their justice systems. The results show that AI can reduce judges' workload, speed up case resolution, and minimize human error and bias. However, there are challenges such as ethical issues, data privacy, and public trust in AI decisions. This research emphasizes the need for a clear regulatory framework and specialized training for judges to ensure the effective and responsible use of AI. In addition, the importance of collaboration between governments, legal institutions, and technology developers to create AI solutions that comply with the principles of fairness and transparency was expressed. In conclusion, although AI has great potential to strengthen the role of judges in Indonesia, its implementation must be done carefully to maintain the principles of fairness.
Indian Agriculture after Liberalisation
Authors: Sen Abhijit , Ghosh Jayati
Published: June 2024

This paper examines broad trends in agricultural output growth, food prices and the viability of cultivation over the period of liberalising economic reforms in India since the early 1990s. These trends are considered in relation to the current perceptions of agrarian crisis in India and the degree to which the economic liberalisation process may have contributed to this crisis. The relationship between patterns of cultivation and technological changes as well as environmental concerns is also highlighted.
Determinants of Adoption of Rice Yield Gap Minimisation Technology in Bangladesh
Authors: Asaduzzaman M. , Anik Asif Reza
Published: June 2024

Increasing rice production through reducing the yield gap between what experiments in research stations achieve and what farmers get in their fields is much emphasised in different policy documents in Bangladesh. By analysing farm level survey data collected from 300 paddy growers belonging to nine different districts in the country, this paper attempts to find out the factors that affect adoption of technology (or technologies) that minimises rice yield gaps and the level of adoption by the adopters. Econometric analysis shows that farm level adoption decision is influenced by a wide range of socio-economic, demographic and natural-physical factors such as education, farm size, off-farm income, access to extension services, adoption of related other practices as well as agro-ecology although their effects on adoption decision may vary. The findings argue for some specific policy interventions and emphasise the importance of designing strategies for technology dissemination considering farm level factors.
Smallholder Agriculture and Inclusive Rural Transformation
Authors: Rahman Atiqur
Published: June 2024

In spite of the predictions of gradual withering away of small farms in developing countries, they still exist in large numbers. This paper examines the rationale for their persistence, and the opportunities they and rural small and medium enterprises (SMEs) offer for rural and hence overall economic development in the rapidly diversifying rural sectors of developing countries. The paper notes that the urban manufacturing and the services sectors have not been able to create employment in large enough scale to absorb the rural un- and under-employed, and argues that small farmers and rural SMEs with larger and well-managed investments can achieve inclusive rural transformation, i.e. help these countries to achieve zero poverty and hunger (Sustainable Development Goals 1 and 2), promote growth and take the countries beyond the “Lewis turning point.”
Bangladesh Experience in Rural Development: The Success and Failure of the Various Models Used
Authors: Toufique Kazi Ali
Published: June 2024

This paper describes the experience of rural development in Bangladesh by (i) highlighting the key stylized facts about the dynamics of the rural economy, (ii) summarising the key approaches, policies and programmes adopted for rural development, and (iii) making recommendations for improvement of rural development strategies. The rural economy has become more complex due to the growth of the non-farm sector, migration, commercialisation, development of infrastructure and appearance of new actors such as the NGOs. Farming still plays a critical role but not the central one and rural development strategy has to be more cross-sectoral and multi-occupational in approach.
การพัฒนาเกมสถานการณ์จำลองท่องเที่ยววิถีช้าง
Authors: พาสวรรค์ อนุรักษ์ , สุวรรณศรี ไพรสันต์ , สุวรรณศรี พิมพ์ชนก
Published: June 2024

งานวิจัยนี้มีวัตถุประสงค์ เพื่อพัฒนาเกมสถานการณ์จำลองท่องเที่ยววิถีช้าง กลุ่มตัวอย่างคือนักศึกษามหาวิทยาลัยราชภัฏเชียงใหม่ สาขาคอมพิวเตอร์ศึกษา ชั้นปีที่ 3 จำนวน 20 คน ได้จากการสุ่มอย่างง่าย เครื่องมือที่ใช้ในการพัฒนา ได้แก่ เกมสถานการณ์จำลองท่องเที่ยววิถีช้าง และแบบประเมินความพึงพอใจต่อการใช้งานเกมสถานการณ์จำลองท่องเที่ยววิถีช้าง วิเคราะห์ผลด้วยค่าเฉลี่ย และส่วนเบี่ยงเบนมาตรฐานผลการวิจัยพบว่า ในการพัฒนาเกมด้านกราฟิก ผู้วิจัยได้ออกแบบให้มีความกึ่งเสมือนจริงใช้องค์ประกอบที่มีความสมจริง เช่น ต้นไม้ ภูเขา แม่น้ำ เป็นต้น ผสมกับความเป็นเกมโดยใช้โมเดลที่มีอยู่แล้วภายในโปรแกรม  โรบล็อกซ์สตูดิโอที่มีผู้พัฒนาอื่น ๆ สร้างไว้ ส่วนของอนิเมชั่นใช้โปรแกรมเบลนเดอร์ (Blender) ในการสร้าง   อนิเมชั่นการขยับของช้าง เช่น การเดิน การแสดงโชว์ของช้าง เป็นต้น พัฒนาเกมด้วยโปรแกรมโรบล็อกสตูดิโอใช้ภาษาเลือ (LUA) เป็นหลักในการพัฒนาระบบภายในเกม การเล่นเกมสถานการณ์จำลองท่องเที่ยววิถีช้าง เป็นเกมที่มีการโหลดข้อมูลที่ใช้ในการแสดงผลเป็นจำนวนมาก จำเป็นอย่างยิ่งที่จะต้องใช้เครื่องคอมพิวเตอร์ หรืออุปกรณ์ที่มีประสิทธิภาพเพื่อการประมวลผลของภาพและเสียงที่สมบูรณ์ ผลการประเมินความพึงพอใจต่อเกมสถานการณ์จำลองท่องเที่ยววิถีช้าง โดยรวมอยู่ในระดับมากที่สุด
ประสิทธิผลของการใช้โปรแกรมติดตามทางโมบายแอปพลิเคชันตามแนวทางการจัดการเมื่อพบผู้ที่มีความดันโลหิตสูงในโรงพยาบาล แผนกผู้ป่วยนอก โรงพยาบาลวานรนิวาส
Authors: โยตะศรี จรรยา
Published: June 2024

การวิจัยในครั้งนี้เป็นแบบกึ่งทดลอง (Quasi-experimental research) ) ชนิดสองกลุ่ม Difference between two independent means วัดก่อนหลัง เพื่อศึกษาประสิทธิผลของการใช้โปรแกรมติดตามทาง โมบายแอปพลิเคชันตามแนวทางการจัดการเมื่อพบผู้ที่มีความดันโลหิตสูงในโรงพยาบาล แผนกผู้ป่วยนอก โรงพยาบาลวานรนิวาส ประชากรและกลุ่มตัวอย่าง มีการคัดเลือกแบบเฉพาะเจาะจง (Purposive sampling) จำนวน 28 คน ผู้วิจัยดำเนินการเก็บข้อมูลตามโปรแกรมติดตามทางโมบายแอปพลิเคชันตามแนวทางการจัดการเมื่อพบผู้ที่มีความดันโลหิตสูงในโรงพยาบาล แผนกผู้ป่วยนอก โรงพยาบาลวานรนิวาส ทุกระยะ การวิเคราะห์ค่าสถิติพื้นฐาน ได้แก่ ค่าความถี่ ร้อยละ ค่าเฉลี่ย ส่วนเบี่ยงเบนมาตรฐานผลการศึกษา พบว่า การเปรียบเทียบความแตกต่างของการประเมินผลลัพธ์ตามแบบประเมินผลลัพธ์ในการติดตามผู้ป่วยที่ได้รับการวินิจฉัยและการรักษาที่เหมาะสม กลุ่มทดลองมาพบแพทย์ตามนัด มีค่าเฉลี่ย 0.95 ครั้ง ซึ่งมากกว่ากลุ่มควบคุมที่มาพบแพทย์มีค่าเฉลี่ยเพียง 0.44 ครั้ง ค่าเฉลี่ยความดันโลหิตสูง 7 วัน กลุ่มทดลอง มีค่าเฉลี่ย 114/76 mmHg ส่วนกลุ่มควบคุมมีค่าความดันโลหิตเฉลี่ย 138/92 ซึ่งเมื่อเปรียบเทียบกับก่อนการทดลองอยู่ในระดับดีขึ้น (p-value ‹ 0.01)กลุ่มตัวอย่างทั้งกลุ่มทดลองและกลุ่มควบคุมเข้ารับบริการในโรงพยาบาล ร้อยละ 100 มีแนวปฎิบัติตามโปรแกรมติดตามทางโมบายแอปพลิเคชันตามแนวทางการจัดการเมื่อพบผู้ที่มีความดันโลหิตสูงในโรงพยาบาล แผนกผู้ป่วยนอก โรงพยาบาลวานรนิวาส
Improved Glowworm Swarm Optimization for Parkinson’s Disease Prediction Based on Radial Basis Functions Networks
Authors: Sivakumar M. , Devaki K.
Published: June 2024

Parkinson’s disease is caused by a disruption in the chemical products that enables the communication between brain cells. The brain’s dopamine cells are responsible for movement control, adaptability, and fluidity. Parkinson’s motor symptoms manifest when 60–80% of these cells are damaged due to insufficient dopamine. Researchers are working to find a way to identify the non-motor symptoms that manifest early detection in the disease to stop the disease’s progression because it is believed that the disease starts many years before the motor symptoms. This research presents Parkinson’s disease diagnosis based on deep learning. Processes for feature selection and classification encompass the suggested diagnosis technique. The proposed model searches for the best subset of characteristics using the Improved Glowworm Swarm Optimization (IGSO) algorithm. Radial Basis Functions Networks (RBFN) classifiers evaluate the chosen features. The suggested model is tested using datasets from Parkinson’s Handwriting samples and Parkinson’s Speech and voice with various sound recordings. With an accuracy of about 95.78%, the suggested algorithm forecasts Parkinson’s disease using the VoicePD dataset more precisely.
YOLOv7-PD: Incorporating DE-ELAN and NWD-CIoU for Advanced Pedestrian Detection Method
Authors: He Yu , Wan Liang
Published: June 2024

In the pedestrian detection task, the excessive depth of the convolutional network in YOLOv7 results in an abundance of background feature information, thereby posing challenges for the model to accurately locate and detect pedestrians, particularly in small-scale or heavily occluded scenarios. To handle this problem, we propose a pedestrian detection model called YOLOv7-PD, to strengthen the accuracy of detecting small-scale pedestrians and occluded pedestrians. First of all, we propose an improved module called DE-ELAN, an improvement on the existing E-ELAN module, which is based on Omni-Dimensional Dynamic Convolution (ODConv). This module leverages four complementary attention types to enhance feature extraction, capturing rich contextual information. Then, we propose a lightweight receptive field enhancement module called light-REFM, which constructs a pyramid structure and acquires fine-grained multi-scale information through dilated convolutions of different sizes. Finally, we propose an improved regression loss function based on the Normalized Wasserstein Distance (NWD) that combines NWD with Complete-IoU (CIoU), enabling precise position and feature capture for small targets. On the Citypersons dataset, YOLOv7-PD outperforms YOLOv7, improving the average precision (AP) by 7% and reducing the miss rate by 2.58%. Experiments on three challenging pedestrian detection datasets demonstrate a balance between precision and speed, achieving excellent performance.
An Improved YOLOv5x-Based Algorithm for IC Pin Welding Defects Detection
Authors: Wang Xueying , Li Mengyun , Hu Xiaofeng , Guo Bin
Published: June 2024

This study suggests an integrated circuit (IC) pin welding defect detection algorithm based on improved YOLOv5x to address the issues of low detection accuracy caused by small target size and dense pin arrangement in IC pin welding defects identification. The ability of the network to extract features is improved by effective fusing of features with various receptive fields through the inclusion of the D-SPP module to merge different channel information. The introduction of the mask self-attention mechanism module increases the network’s capacity to recognize global feature correlations and raises the algorithm’s detection precision. In order to speed up the model’s convergence and tackle the issue of sample imbalance in BBox regression, the Focal-EIoU loss function is applied. The detection accuracy and speed are increased by using the k-means++ clustering algorithm to create nine clustering centers to figure out the size of the prior box. According to the results of the experiment, the new method achieves average precisions for short-circuit, missing pin, pin-cocked, and little tin faults in IC pin welding of 96.7%, 94.5%, 95.6%, and 93.3%, respectively. The mean average precision increases to 95.0% at a threshold of 0.5, which is 13.3% and 8.9% greater than YOLOv3 and YOLOv5x, respectively. A reference value for IC pin welding defect identification is provided by the improved algorithm, which has a detection time of 0.142 seconds per image. This meets the speed requirements of IC quality inspection.
An Overview of Behavioral Recognition
Authors: Xie Yunjie , Xiang Jian , Li Xiaoyong , Duan Jiawen , Li Zhiqiang
Published: June 2024

Human behavior recognition has become a popular research topic in the field of computer vision. With the introduction of deep learning and attention mechanisms, this field has been further promoted. However, issues such as dataset acquisition and preprocessing operations on multimodal datasets, modeling of long time information in videos, and fusion of temporal and spatial information still exist. In this paper, we first outline some video action recognition datasets and related preprocessing techniques, including frame extraction, optical flow extraction, and skeletal feature acquisition. Then, the relevant models are classified and parsed according to their characteristics and the types of input data modalities. In addition, we evaluate the performance of the models on several benchmark datasets to gain a deeper understanding of the model development process. Finally, we summarized the current challenges faced in the field of video behavior recognition, including model timeliness, data set subjectivity and effective fusion of multi-modal features, and proposed possible future improvement directions in order to provide more ideas and methods for subsequent research.
Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised Learning
Authors: Liu Jing-Jing , Yao Jie-Peng , Wang Zhuo , Wang Zhong-Yi , Huang Lan
Published: June 2024

Realistic scenarios produce labeled data and unlabeled data, however, there are significant challenges in labeling time series data. It is imperative to effectively integrate the relationship between labeled and unlabeled data within semi-supervised classification model. This paper presents a novel semi-supervised classification method, namely Data Augmentation-Fast Shapelet Semi-Supervised Classification, which employs a data augmentation module to enhance the diversity of data and improve the generalization ability of the model, as well as a feature fusion module to enhance the semi-supervised network. A conditional generative adversarial network is used to synthesize excellent labeled time series samples to enhance the homogeneous data in the sample space, the fast shapelets method is used to quickly extract the important shape feature vectors in the time series, self-supervised and supervised learning are combined to fully learn the unlabeled and labeled data of the time series dataset. Thejoint loss function combines the loss functions of the two networks to optimize multiple objectives. Reinforcement learning is used to determine the weight coefficients of the joint loss function, at the same time, the reward function is modified to bias the supervisory loss, which improves the classification performance of the model under limited labeled data, and the model can also better achieve the semi-supervised classification task. The proposed method is validated on the UCR benchmark dataset, Electrocardiogram dataset, and Electroencephalogram dataset, the results show that the semi-supervised classification method can perform a more accurate semi-supervised classification of the time series, with an accuracy better than the comparison methods. Meanwhile, we use the plant electrical signal dataset obtained from actual measurements for testing, the visualizationanalysis can clearly show the model role in the semi-supervised classification task, and the experimental results fully demonstrate the effectiveness and applicability of the proposed method.
Research on Autonomous Mobile Robot Path Planning Based on M-RRT Algorithm
Authors: Tang Zhuozhen , Ma Hongzhong , Xue Bin
Published: June 2024

The Rapidly-Exploring Random Tree (RRT) algorithm has demonstrated proficiency in adapting to path search challenges within high-dimensional dynamic environments. However, a notable limitation of the RRT algorithm lies in its inability to fulfill the criteria for achieving the shortest and smoothest path for mobile sensing nodes. To address the limitations of the conventional RRT algorithm and enhance the path planning for mobile robots, this paper proposed an innovative approach named M-RRT, designed to overcome the aforementioned shortcomings and optimize the path planning process for mobile sensing nodes. First, the search area is constructed according to the defined coverage density. After searching the path in the search area, the RRT algorithm uses the greedy method to delete the intermediate nodes in the path, and obtains the uniquly optimal path. Finally, the Bezier curve is used to optimize the path, which makes the path shortest and meets the dynamic requirements of the mobile node. Simulation results show that M-RRT has better path and faster convergence speed than traditional RRT, which can better meet the planning requirements of mobile nodes.
Brucellosis: Infectious Disease
Authors: M. Jawad Sahar
Published: June 2024

Brucellosis is a zoonotic disease caused by Brucella species, a small, Gram-negative coccobacilli group, with four species (B. melitensis, B. abortus, B. canis, and B. suis), causing illness in humans. These bacteria have a different type of outer membrane containing lipopolysaccharides (LPS) compared to similar bacteria like those in the Enterobacteriaceae family. Symptoms typically begin with a sudden fever, and as the illness progresses, it can enter into chronic stage characterized by recurring episodes of fever, along with symptoms such as weakness, sweating, and general discomfort. Human brucellosis is caused by various strains of Brucella bacteria, including B. abortus (from cattle), B. melitensis (from sheep and goats), and B. suis (from hogs). While infections from B. canis (from dogs) are infrequent, they have been reported. Among these, B. melitensis and B. suis tend to be more potent in terms of their pathogenicity. Farm animals, raw dairy products, and wild animals such as deer, bison, horses, moose, caribou, hares, chickens, and desert rats can carry brucellosis, which can also infect humans. In this chapter, we will discuss how brucellosis is contracted and the diseases it can cause. We will focus on Iraq, where brucellosis is a common disease.
Perspective Chapter: Zoonosis – Brucellosis a Clinically Relevant Bacterial Disease
Authors: Gulafshan Shahzadi , Singh Rajeev , M. Murhekar Manoj , Raj Dwivedi Gaurav
Published: June 2024

In 2020–2022, infectious diseases were the major causes of infection and death globally. Many viral and bacterial diseases are starting to emerge/reemerge frequently. The zoonotic infections were reported to be dominant in a few decades. Now the holistic one-health approach is the need of the hour to tackle the emerging and reemerging pathogens by extensive and heedless use of antimicrobials, lack of novel antimicrobials, and unavailability of appropriate vaccines increased the severity of pathogens. Brucellosis is a well-known zoonotic disease also called undulant fever, Malta fever, Mediterranean fever, etc. Many components of the genus Brucella will be discussed in this chapter, namely pathogenesis, genes/proteins responsible for diseases in animal and humans, available treatment options, drug resistance phenomenon, etc.
Zoonoses Control in Africa: Measures to Enhance Involvement through Application of Community-Based Intelligence Gathering
Authors: Obukowho Emikpe Benjamin , Deladem Folitse Raphael
Published: June 2024

Many of the zoonosis control measures adopted in Africa over the years have not been entirely successful because of neglect of some socioecological factors which are crucial and peculiar to Africa. This study seeks ways to enhance control of zoonosis by adopting a pattern of research and implementation that incorporates socioecological factors and community-based intelligence gathering of data in Africa. A literature search using established data sources: PubMed and Scopus, scooping review to get information on the previous measures used for zoonosis control. It was seen that previous research was inclined more to problem identification than to an evidence-based problem-solving approach. It was also observed that East and Southern Africa are at the forefront of zoonoses and One Health research in Africa, while West Africa is leading in studies related to heavy metals contamination. The results showed that emphasis should be shifted to newer approaches that embrace socioecological factors; hence, community-based intelligence plays a major role in gathering information in Africa for proper implementation of zoonoses control. To ensure this, a holistic means of acquiring information and applying the One Health approach, which takes cognizance of the interaction of humans, animals, and the environment is essential.
Perceptions of Grade 11 Setswana home language learners regarding English as the language of learning and teaching in a rural South African school
Authors: Azagsiba Joseph , Manyike Tintswalo V
Published: June 2024

South African learners are amongst millions globally who learn English as a second language and also use it as the language of learning and teaching (LoLT) at various levels of their educational careers. The literature abounds with views from language and education experts confirming that proficiency in the LoLT is a prime factor determining the academic success of learners. Conspicuously absent are the voices of learners on a matter that so intimately touches them. This study, therefore, investigated the perceptions of Setswana Home Language (SHL) learners about studying English as a subject and using it as the LoLT. The study was conducted with Setswana Home Language (SHL) Grade 11 learners in a rural public secondary school in the Bojanala Education District, North-West Province, South Africa. Second language acquisition theory and the concepts of Basic Interpersonal Communication Skills (BICS) and Cognitive Academic Language Proficiency (CALP) as espoused by Cummins informed the single case qualitative study. Data were collected through a questionnaire with one purposefully sampled Grade 11 English First Additional Language (EFAL) class and analysed qualitatively. In the findings, learners confirmed that they did not have a thorough understanding of English; lacked confidence when speaking English; had poor speaking and writing skills in English; preferred to have Setswana as the LOLT; were exposed to the use of both the home language (HL) and English in the classroom; and lacked sufficient access to English in their home environments.
Methodology for assessing the competitiveness of an organization
Authors: Ян С. , Сюй Ц.
Published: June 2024

изучение методических аспектов оценки конкурентоспособности предприятий остаётся весьма значимым в современном предпринимательском мире. Грамотное и исчерпывающее оценивание в данной области позволяет руководству компаний понять своё положение на рынке, выявить сильные, слабые стороны, а также определить потенциальные ориентиры для улучшения позиций относительно конкурентов. В условиях интенсивно трансформирующейся и преобразующейся экономической среды, усиливающейся конкуренции важно постоянно анализировать своё место на рынке, принимать соответствующие стратегические решения – тщательно продуманные и аргументированные. Исследование методики оценки конкурентоспособности в этой связи помогает организациям быть гибкими, адаптивными к изменениям, а также эффективно применять имеющиеся ресурсы. Итак, в нынешних условиях изучение методического инструментария является весьма актуальным – из соображений успешного развития бизнеса в динамичных условиях. В рамках данной статьи автором рассмотрены сущностные аспекты оценивания конкурентоспособности организации. Представлено описание базовых методических направлений, используемых в современных условиях. Новизна исследования заключается в том, что на основе анализа концептуальной базы, теоретических положений предложен авторский алгоритм разработки методики оценки конкурентоспособности субъекта хозяйствования – с опорой на систематизацию отражённых в научных публикациях представлений.

the study of methodological aspects of assessing the competitiveness of enterprises remains very important in the modern business world. A competent and comprehensive assessment in this area allows the management of companies to understand their position in the market, identify strengths and weaknesses, as well as identify potential benchmarks for improving positions relative to competitors. In the conditions of an intensively transforming and transforming economic environment, increasing competition, it is important to constantly analyze your place in the market, make appropriate strategic decisions – carefully thought out and reasoned. The study of the methodology for assessing competitiveness in this regard helps organizations to be flexible, adaptive to changes, as well as effectively use available resources. So, in the current conditions, the study of methodological tools is very relevant – for reasons of successful business development in dynamic conditions. Within the framework of this article, the author considers the essential aspects of assessing the competitiveness of an organization. The description of the basic methodological directions used in modern conditions is presented. The novelty of the research lies in the fact that, based on the analysis of the conceptual framework and theoretical provisions, the author's algorithm for developing a methodology for assessing the competitiveness of a business entity is proposed, based on the systematization of ideas reflected in scientific publications.
Features of digital transformation of regions: modern realities, problems and solutions
Authors: Соловьев Р.А.
Published: June 2024

цифровизация в современном понимании рассматривается как движущая сила роста и конкурентоспособности экономических систем на всех уровнях. И хотя переход к цифровым технологиям ассоциируется с возможностями для прогресса, нет никаких оснований полагать, что его результаты сами по себе будут распределены равномерно в разрезе комплексов, территорий, отраслей. В данном контексте в статье рассмотрены особенности цифровой трансформации регионов через призму современных реалий и проанализированы текущие проблемы. Отдельное внимание уделено базисам и тенденциями внедрения цифровых технологий на региональном уровне. Также сформулированы авторские предложения по стимулированию перехода регионов на цифровой вектор развития. Сделан вывод о том, что динамика цифровой трансформации на региональном уровне проявляется в развитии комплекса специфических продуктов в сфере административных, образовательных, культурных, медицинских, информационных и других услуг. При этом процессы распространения предоставления таких услуг способствуют переосмыслению отношений между общественностью, бизнесом и органами местного самоуправления. Отмечено, что цифровые нововведения способны обеспечить получение качественно новых результатов по масштабам, скорости, качеству, точности и стоимости проектов регионального развития.

digitalization in the modern sense is considered as a driving force for the growth and competitiveness of economic systems at all levels. And although the transition to digital technologies is associated with opportunities for progress, there is no reason to believe that its results themselves will be distributed evenly across complexes, territories, and industries. In this context, the article examines the features of digital transformation of regions through the prism of modern realities and analyzes current problems. Special attention is paid to the basis and trends in the implementation of digital technologies at the regional level. The author’s proposals for stimulating the transition of regions to a digital vector of development have also been formulated. It is concluded that the dynamics of digital transformation at the regional level is manifested in the development of a set of specific products in the field of administrative, educational, cultural, medical, information and other services. At the same time, the processes of spreading the provision of such services contribute to rethinking the relations between the public, business and local governments. It is noted that digital innovations can provide qualitatively new results in terms of scale, speed, quality, accuracy and cost of regional development projects.
Problems and prospects of measure the impact of student entrepreneurship on the Russian economy
Authors: Филиппов И.А. , Шешуков К.А. , Стажарова Д.М.
Published: June 2024

целью является поиск и отбор критериев для оценки экономического вклада от развития студенческого предпринимательства и его субъектов, студенческих стартапов, на российскую экономику. Методы: в качестве методов в представленном исследовании использовались методы сравнительного анализа, обобщения и систематизации научных трудов. Информационно-эмпирической базой исследования послужили публикации научного и прикладного характера российских и зарубежных авторов, статистические и аналитические данные, опубликованные в открытом доступе. Результаты (Findings): в статье представлены основные проблемы при оценке влияния студенческого предпринимательства на российскую экономику. На основе предложенных критериев предлагается измерить экономический эффект от развития студенческого предпринимательства. Выводы: предложенный в статье метод и набор показателей позволят осуществлять оценку влияния студенческого предпринимательства на российскую экономику, благодаря чему можно будет отслеживать эффективность различных государственных программ поддержки и оценивать их эффективность.

the aim is to search and select criteria for evaluating the economic contribution from the development of student entrepreneurship and its subjects, student startups, to the Russian economy. Methods: methods of comparative analysis, generalization and systematization of scientific works were used as methods in the presented study. The information and empirical base of the research was publications of a scientific and applied nature by Russian and foreign authors, statistical and analytical data published in the public domain. Findings: The article presents the main problems in assessing the impact of student entrepreneurship on the Russian economy. Based on the proposed criteria, it is proposed to measure the economic effect of the development of student entrepreneurship Conclusions: the identified indicators, on the basis of which it is possible to analyze the eSports industry market, will allow not only to describe the current state of the eSports market, but also to assess the prospects for its future development, which is an important contribution to the field of forecasting and planning strategies for the development of the eSports industry, based on the economic situation in each specific country.
On the issue of the organization of management accounting in modern conditions
Authors: Ковалева Т.Н.
Published: June 2024

в статье обосновывается проблема организации бухгалтерского управленческого учета по центрам ответственности. Данный вопрос является очень актуальным, так как позволяет решить множество проблем оперативного и эффективного управления производственным предприятием. В статье рассматриваются способы обобщения информации по центрам ответственности, предлагаются возможные формы сегментарной отчетности для внутренних управленческих целей. Формы могут быть встроены в систему финансового учета и могут использоваться автономно при применении трансфертных цен.

the article substantiates the problem of the organization of accounting management accounting by responsibility centers. This issue is very relevant, as it allows you to solve many problems of operational and effective management of a manufacturing enterprise. The article discusses ways to summarize information on responsibility centers, and suggests possible forms of segmental reporting for internal management purposes. The forms can be integrated into the financial accounting system and can be used autonomously when applying transfer prices.
Problems of risk management at enterprises of the fuel and energy industry
Authors: Чэн С.
Published: June 2024

в нынешних условиях актуализируется проблематика функционирования управленческих механизмов в отношении рисков в организациях топливно-энергетической отрасли. Это обусловливается множеством соображений. Так, данный сектор характеризуется высоким уровнем рисков, связанных с экологическими, технологическими, политическими, экономическими детерминантами. Это делает управление критически значимым для устойчивости, безопасности субъектов хозяйствования. Тема напрямую касается обеспечения энергетического благополучия страны, поскольку анализируемая отрасль играет определяющую роль в экономике государства. Постоянные изменения в законодательстве, ориентированные на ужесточение экологических норм, требуют от предприятий отрасли адаптации, а также разработки новых подходов к управленческим шагам. Прогресс в области технологий предоставляет дополнительные возможности для минимизации рисков, однако также вносит вызовы, требующие пересмотра существующих систем риск-менеджмента. В качестве цели в данной статье ставится исследование современных представлений о наличествующих проблемах управления рисками на предприятиях топливно-энергетической отрасли. Автором предложена собственная версия систематизации проблем, а также намечены соответствующие направления, в русле которых целесообразно подходить к их разрешению на перспективу. Изучение «проблемных зон» позволяет оптимизировать процессы на предприятиях, повысить их надежность, результативность, а также содействует созданию устойчивой, безопасной энергетической инфраструктуры.

in the current conditions, the problem of the functioning of management mechanisms in relation to risks in organizations of the fuel and energy industry is being updated. This is due to many considerations. Thus, this sector is characterized by a high level of risks associated with environmental, technological, political, and economic determinants. This makes management critically important for the sustainability and security of business entities. The topic is directly related to ensuring the energy well-being of the country, since the analyzed industry plays a decisive role in the economy of the state. Constant changes in legislation aimed at tightening environmental standards require industry enterprises to adapt, as well as develop new approaches to management steps. Technological progress provides additional opportunities to minimize risks, but also introduces challenges that require a review of existing risk management systems. The purpose of this article is to study modern ideas about the existing problems of risk management at enterprises of the fuel and energy industry. The author has proposed his own version of the systematization of problems, as well as outlined the appropriate directions, in line with which it is advisable to approach their resolution in the future. The study of "problem areas" makes it possible to optimize processes at enterprises, increase their reliability, efficiency, and also contributes to the creation of a sustainable, safe energy infrastructure.
Analysis of the Effectiveness of Employee Training and Development In Islamic Boarding Schools in Improving the Quality of Education
Authors: Syaroh Amaliyah Rizqi
Published: June 2024

Traditional educational institutions such as Islamic boarding schools combine a curriculum that includes religious subjects, such as tafsir, hadith, and fiqh, with general subjects, such as math, science, and languages. This study aims to analyze the effectiveness of employee training and development in boarding schools in improving the quality of education. Using a qualitative approach, this study examines various training and development programs implemented in several Islamic boarding schools, as well as their impact on the competence of teaching and education personnel. Data were collected through literature studies and analyzed to identify the relationship between training programs and improved performance and teaching quality. The results showed that systematic and continuous training significantly improved the skills and knowledge of the educators, which contributed to a more effective and adaptive teaching and learning process. In addition, continuous professional development helps educators in pesantren to remain relevant to developments in teaching methodologies and educational technology. These findings confirm the importance of investing in staff training and development as a key strategy to improve the quality of education in pesantren.
A Bibliometric Analysis Of Geotextile As Underground Filtration In Subsurface Drainage Towards Slope Stability Using Vosviewer
Authors: Budiono Jason , Irfan Rifai Andri , Jaya Saputra Ade , Handayani Susanty
Published: June 2024

Geotextile is a geosynthetics tool in civil engineering that addresses geotechnical issues. As an alternative employed in dealing with the soil foundation, geotextiles serve functions such as separation, filtration, drainage, reinforcement, stabilization, protection, and a combination of these functions. This study aimed to systematically map the scientific research outcomes on slope stabilization and geotextiles using a quantitative review method known as bibliometric analysis. Bibliometric analysis is a widely used and robust method for investigating and analyzing extensive scientific data sets. This approach allows us to unravel the evolutionary intricacies within a particular field and illuminate emerging areas. With the help of Publish or Perish, the data sourced from the Crossref database will be analyzed using VOSviewer software. The results indicated that the most document publications occurred in 2023, with 74 journals published that year. The findings revealed a significant focus on slope reinforcement among researchers, as evident in the 810 articles published from 2000 to 2023. Of these, 54% consisted of papers published in journal articles. In summary, this research provides a quantitative examination of trends and future directions in this research field, serving as a valuable resource for researchers. Also, this paper will serve as a valuable reference for acquiring insights into the available techniques and procedures for conducting studies utilizing bibliometric analysis.
Analysis of Students' Science Literacy Skills on the Circulatory System Material at SMA Negeri 1 Luwuk
Authors: Haruna Moh. Fahri , Muin Kenta Abd. , Nurlia Nurlia , Anggo Sulasmi , Novrianti S Bungaji Reina
Published: June 2024

Science literacy is an ability that involves various aspects, including knowledge (concepts, facts, and vocabulary), processing skills (thinking and intellectual skills), dispositions (behaviors and attitudes), and the ability to connect them with the reality around us. Effective education is essential to improve the quality of human resources in the era of rapid development of science and technology. This study evaluates students' science literacy skills on circulatory system material at SMA Negeri 1 Luwuk. This study used a descriptive qualitative research method. The sample consisted of 68 students selected from the population of class XI IPA students at SMA Negeri 1 Luwuk in the 2022/2023 school year. The data collection technique used a science literacy test consisting of 27 questions. Data were analyzed using descriptive statistical analysis techniques. The results showed that overall, students' science literacy skills in circulatory system material were in the poor category. This evaluation is based on four indicators of science literacy with the following percentage results: nominal indicator 37.68% (poor), functional indicator 14.91% (abysmal), and conceptual indicator 13.80% (abysmal). The implication of this study is the need for improved teaching methods and the use of more effective learning media to improve students' science literacy. The findings can be used for curriculum improvement and school teaching strategies.
Evaluasi Pelatihan Ekspor dengan Media E-Commerce Alibaba kepada Supplier Agree
Authors: Wibowo Hendrian Bayu
Published: June 2024

Agree adalah salah unit usaha milik PT Telkom Indonesia yang bergerak dalam bidang pertanian dan sudah bekerja sama dengan lebih dari 250 perusahaan agribisnis. Penelitian ini memiliki tujuan dengan berfokus kepada evaluasi untuk melihat efektivitas dan kompetensi peserta dari pelatihan yang sudah dilakukan menggunakan model evaluasi CSE-UCLA (Center for the Study of Evaluation-University of California in Los Angeles) yang mengukur dari dimensi sistem assessment, program planning, program implementation, program improvement, dan program certification. Penelitian ini menggunakan metode mix method kualitatif dan kuantitatif dilengkapi data sekunder serta data primer. Hasil penelitian menunjukkan bahwa efektivitas materi dan kompetensi peserta masuk ke dalam kategori baik, namun terdapat kendala pada operasionalisasi akun Alibaba dimana perusahaan peserta pelatihan ekspor tidak memiliki sumber daya manusia yang selalu siap siaga dalam operasionalisasi akun Alibaba.
Agree adalah salah unit usaha milik PT Telkom Indonesia yang bergerak dalam bidang pertanian dan sudah bekerja sama dengan lebih dari 250 perusahaan agribisnis. Penelitian ini memiliki tujuan dengan berfokus kepada evaluasi untuk melihat efektivitas dan kompetensi peserta dari pelatihan yang sudah dilakukan menggunakan model evaluasi CSE-UCLA (Center for the Study of Evaluation-University of California in Los Angeles) yang mengukur dari dimensi sistem assessment, program planning, program implementation, program improvement, dan program certification. Penelitian ini menggunakan metode mix method kualitatif dan kuantitatif dilengkapi data sekunder serta data primer. Hasil penelitian menunjukkan bahwa efektivitas materi dan kompetensi peserta masuk ke dalam kategori baik, namun terdapat kendala pada operasionalisasi akun Alibaba dimana perusahaan peserta pelatihan ekspor tidak memiliki sumber daya manusia yang selalu siap siaga dalam operasionalisasi akun Alibaba.