bluuebunny/crossref_metadata_2025 huggingface dataset:
MANEJO ALIMENTAR PREVENTIVO PARA SÍNDROME DE CÓLICA EQUINA
Authors: Zumack Rannyelle Pagel Galvão , Araújo Kleberson Conrado de
Published: October 2024

A síndrome de cólica equina acomete grande parte dos animais dessa espécie, podendo ocorrer em qualquer equino, sem preferência de sexo, idade ou raça. A condição é caracterizada por dores abdominais agudas ou crônicas que alteram o comportamento do animal, podendo ser ocasionada por produção excessiva de gás no ceco, torção gástrica ou obstrução intestinal, a qual é a mais comum na rotina clinica veterinária. A grande parte dos motivos da cólica é ocasionada pela falta de manejo alimentar adequando com esses animais, sendo administrado o alimento em horário incorreto ou ofertando a quantidade de proteínas, fibras e minerais de forma inadequada, resultando nessa condição. Portanto é de grande relevância que os criadores de equinos tenham o conhecimento correto quanto a esse assunto. Com um entendimento sólido sobre as necessidades nutricionais dos equinos, os criadores podem prevenir problemas de saúde, minimizar os riscos de cólica e, assim, assegurar o bem-estar e o desempenho de seus animais. A educação contínua sobre práticas de manejo é essencial para promover uma criação responsável e sustentável.
SALMONELOSE AVIÁRIA: REVISÃO DE LITERATURA
Authors: Falkowski Gabrieli Luisa , Ramella Keli Daiane Cristina Libardi
Published: October 2024

A avicultura no Brasil é uma das principais atividades do setor agropecuário, destacando-se como líder na exportação de carne de frango. Contudo, com a modernização e otimização do setor, doenças emergentes passaram a ter relevância nos últimos anos, como as salmoneloses aviárias. Causadas pela bactéria Salmonella spp., a pulorose e o tifo aviário representam desafios significativos para a economia, enquanto o paratifo aviário traz um elevado risco para a saúde pública. Os surtos de salmonelose em aves podem resultar em perdas substanciais, afetando a produtividade das granjas e, consequentemente, a cadeia de suprimentos de carne e ovos. Além disso, a contaminação pode se transmitir para os seres humanos, levando a infecções alimentares graves. Essas doenças ressaltam a importância de implementar rigorosas medidas de biossegurança e manejo adequado, visando proteger tanto a saúde animal, quanto a segurança alimentar da população.
An Indoor-Outdoor Layered HD Map Construction for Unmanned Ground Vehicles
Authors: Gao Huimin , Zhong Ruofei , Qi Xingyu , Xie Donghai , Sun Zhenxing , Sun Haili
Published: October 2024

Abstract. High-Definition Maps (HD Maps) are lane-level 3-dimensional road network models that ensure the safe operation of autonomous vehicles and drive the continuous advancement of autonomous driving technology to higher levels. However, HD Maps currently face challenges regarding limited coverage and description of indoor environments (e.g. underground parking), as well as the lack of uniformity between indoor and outdoor map formats. Therefore, this paper proposes a Layered HD Map model for both indoor and outdoor environments. The map model consists of 6 layers, allowing effective representation of indoor and outdoor environments, as well as transitional areas. The paper also establishes an Unmanned Ground Vehicle (UGV) to collect and update map data using LiDAR (Light Detection and Ranging) SLAM (Simultaneous Localization and Mapping) and autonomous exploration technology, aiming to enhance the efficiency and automation of HD Map acquisition. In order to verify the validity of the proposed map model, this paper conducted a navigation experiment in a double decker parking lot containing entrances and exits. The results of the experiments demonstrate that the Layered HD Map generated through autonomous LiDAR SLAM can effectively describe the indoor and outdoor environments, and enable successful navigation of UGVs.
Three-dimensional Change Detection and Description in Complex Construction Scenarios
Authors: Ge Xuming , Liu Xinjing
Published: October 2024

Abstract. In large-scale engineering construction scenarios, construction objects and equipment are numerous; their spatial positions and postures change frequently and are complex and varied. Describing the changes between construction entities and the entities themselves in a three-dimensional (3D) geometric space and functional semantic space is challenging. In response to this challenging, we propose a novel workflow to detect and describe the changes in a construction site. First, we add the constraint of object surface continuity to the octree change detection (OCD), exclude the independently changing cells, and improve the change detection robustness. Second, based on the changes in entity elements that occur in the 3D geometric space, we introduce six-type semantics to characterize the changes that occur. Differing from existing change detection semantic description methods that focus on the attribute semantics of changed entity elements, our method focuses on the semantic description of the change process. Finally, for the variations in different semantic types, we propose specific quantization methods that can better quantify the variations in entity elements in 3D geometric space. For the proposed solution, we tested it using two sets of multi-period time-series point cloud data, which can accurately identify the changing construction entities in space and complete the calculation of bridge construction progress, including the building demolition and construction, and the change in the construction apparatus position.
Forest Change Mapping using Multi-Source Satellite SAR, Optical, and LiDAR Remote Sensing Data
Authors: Hosseiny Benyamin , Zaboli Mahdieh , Homayouni Saeid
Published: October 2024

Abstract. This study highlights the efficacy of leveraging multi-source satellite remote sensing for precise and dependable forest change mapping. Forests play a crucial role as carbon reservoirs and are indispensable components of the global carbon and water cycle, providing essential ecosystem services. Despite their significance, forests face deforestation, diseases, and climate change threats. Recent satellite remote sensing technology advancements have facilitated accurate, persistent, and large-scale forest dynamics monitoring. New generation satellite LiDAR systems, such as GEDI and ICESat-2, offer frequent and global height information at high spatial resolutions. This research presents a processing framework for mapping forest changes by integrating SAR and optical features from Sentinel-1 and Sentinel-2 imagery with canopy heights derived from GEDI and ICESat-2 datasets. Multiple experiments and analyses were conducted in two study areas. The findings underscore the significant impact of incorporating canopy height information in enhancing the accuracy of forest change mapping, resulting in a 15% improvement in precision and a 13% enhancement in F1-score in the experimental setups. Furthermore, the developed model exhibits increased reliability and confidence in identifying correctly changed and unchanged areas while being less confident in incorrect predictions.
Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets
Authors: Li Yucai , Huo Liang , Zhu Wangzhang , Bao Peng , Zhang Miao , Li Binghan
Published: October 2024

Abstract. Aiming at the problems of islands, redundancy and sharing difficulties of spatial and temporal business models and data in geospatial and spatial business systems, this paper proposes an integrated and coupled expression method of models and data guided by metadata sets, based on the research on core metadata of information resources and component-based encapsulation. First of all, this method classifies the model and data features, and constructs the metadata description and expression framework dominated by feature meta-components; then, establishes metadata sets through the expansion of the metadata description and expression framework; then, constructs the correlation between the model and the data through the use of the established metadata sets by means of the component-based encapsulation method, so as to complete the integrated coupling of the model and the data; and finally, realises the integrated coupling expression of the model and the data in the digital pipeline business system. The results show that this method integrates the expression of digital pipeline element models and data, solves the problems of silos, redundancy and conflicts of heterogeneous models and data from multiple sources, ensures the integrity of the attributes of the models and data elements, and promotes the structured expression and application of the models and data.
POI VizNet: New QGIS Tool to construct Visibility Networks in Cities
Authors: Natapov Asya , Dalyot Sagi , Cohen Achituv
Published: October 2024

Abstract. Network science and graph theory offer attractive models to describe urban phenomena and examine cases of urban planning and design. However, none of the existing network analysis tools consider simultaneously human visual perception and locations of urban activities. In this paper we introduce POI VizNet, a new QGIS plug-in that constructs various 2-dimentianal undirected graphs of unobstructed lines of sight. The plug-in integrates an increasing amount of available GIS-based data of Point Of Interest (POI) and visibility into one readily accessible analytical framework. Graphs are created between two types of decision points during urban travel – street intersections and POIs, origins, and destinations of travel, by connecting these potential observer’s decision locations in an open space between buildings. In addition, POI VizNet provides advanced options to build graphs using a predefined viewing distance and perceptual perspective. Visibility graphs are constructed and visualised as new layers in QGIS and delivered as network files suitable for further exploration, analysis, and visualisation in various network software packages.
The Framework of Modeling Buddhist Head in 3D with Semantic Information
Authors: Pan Yuehan , Li Huabiao , Fan Hongchao , Gu Botong , Zhao Xiaoyu , Hou Miaole
Published: October 2024

Abstract. Buddhist statues hold profound spiritual and cultural significance, yet their comprehensive analysis and identification remain largely reliant on manual annotation and expert scrutiny. Despite advancements in 3D modeling, the nuanced representation of these statues, essential for automated analysis, remains elusive. Integrating semantic information such as symbolic and cultural elements poses a further challenge. There currently exists no standardized method for modeling Buddhist heads in 3D with semantic information. This paper proposes a framework for the component-based analysis of Buddhist statues, particularly focusing on their heads, to bridge this gap. Drawing from diverse disciplines including archaeology, art history, and conservation, the framework leverages advancements in 3D reconstruction to provide a detailed depiction of intricate features. Building upon existing research outcomes, the framework facilitates the seamless integration of semantic information, capturing not only the physical attributes but also the cultural, historical, and spiritual dimensions of these sculptures. This approach aids in overcoming challenges in automated analysis and virtual restoration, providing a dynamic tool for exploration, preservation, and interpretation of cultural heritage. By enabling interdisciplinary synergy, the framework emerges as a dynamic tool for exploring, preserving, and interpreting the profound heritage of Buddhist art with unprecedented depth and clarity.
Unsupervised Bushfire Burn Severity Mapping Using Aerial and Satellite Imagery
Authors: Bai Ting , Stütz Dominik , Liu Chang , Bulatov Dimitri , Hacker Jorg , Ge Linlin
Published: October 2024

Abstract. It is critical to assess bushfire impact rapidly and accurately because bushfires play a significant role in forest degradation and present a threat to ecosystems and human lives. Over the past decades, several supervised algorithms of burn severity mapping have been proposed, facing the significant drawback of time-consuming labeling. Moreover, there is no robust framework for burn severity mapping through fusing multi-sensor, multi-resolution, and multi-temporal remote sensing imagery from satellite and aerial platforms. Therefore, this paper presents an unsupervised two-step pipeline: processing 2D data followed by 3D data for burn severity mapping, both of which are acquired from either aircraft or satellites. For the 2D data processing, our proposed unsupervised burned area detection (UsBA detection) model enhances burned area mapping accuracy by integrating Ultra-High Resolution (UHR) aerial imagery with bi-temporal medium-resolution PlanetScope imagery, using a Segment Anything Model (SAM)-assisted UNetFormer (pre-trained on the target-style public dataset – LoveDA Rural) for refinement. The model demonstrates superior burned area segmentation, evidenced by improved evaluation metrics calculated from labeled test sites. For the 3D analysis, the burned areas extracted from 2D processing are further assessed using pre- and post-event airborne laser data. We implement a voxel-based workflow, including necessary steps such as ground filtering through Superpoints in RANSAC Planes (SiRP) method and biomass change analysis. The results indicate that the 3D branch provides a reliable lower bound of the actual damage map, because the vegetation growth between two measurements remains, in essence, undetected. The proposed framework offers a more accurate and robust solution for burn severity mapping utilizing combined 2D and 3D data, evaluated on a multi-source dataset from a real bushfire event that occurred in Bushland Park, South Australia.
A Multi-Scene Roadside Lidar Benchmark towards Digital Twins of Road Intersections
Authors: Tang Miao , Yu Dianyu , Li Peiguang , Song Chengwen , Zhao Pu , Xiao Wen , Chen Nengcheng
Published: October 2024

Abstract. In recent years, the evolution of digital twin technology has paved the way for the construction of intelligent holographic intersections. This can be facilitated by utilizing precise point clouds from roadside lidar. With its capability of real-time monitoring, lidar plays a crucial role in enhancing intersection perception, enabling precise detection and tracking of road objects, as well as providing accurate speed estimates. Despite the introduction of few roadside lidar datasets aimed at enhancing supervised learning algorithms, their applicability to intelligent intersection monitoring remains limited. To address this, this paper presents an Intelligent Intersections (Int2sec) dataset, which exhibits several salient features: 1) it encompasses a broad array of urban intersection scenarios accompanied by a substantial quantity of object annotations; 2) the deployment of dual lidar stations facilitates a thorough scanning of scenes, thereby ensuring expansive scene coverage and mitigating the mutual occlusion phenomenon amongst objects; and 3) the dataset not only catalogues the coordinates, dimensions, and orientations of objects but also encompasses additional attributes such as tracking IDs and real-time motion statuses. Furthermore, the paper evaluates the efficacy of various prominent benchmarking networks, providing a critical analysis and prospective for future research.
Automated Pipeline for Multi-LiDAR Extrinsic Calibration: Experimental Evaluation and Performance Analysis
Authors: Barnwal Surbhi , Koshti Mansi , Goel Salil
Published: October 2024

Abstract. In recent years, 3D LiDAR (Light Detection and Ranging) has become a crucial sensor in various applications such as autonomous vehicles, robotics, object detection, precision forestry, and agriculture. However, specific LiDAR sensors, such as Velodyne VLP16, exhibit some drawbacks, such as a limited field of view and sparse data density, making them inadequate for certain specific applications. Hence, this research proposes a method for calibrating two VLP16 LiDAR sensors to improve coverage and reduce blind spots. The pipeline for performing the calibration begins with mounting LiDARs correctly in a rod at a specific orientation and distance, followed by the selection of multiple sites for data collection, then performing a registration algorithm for estimating calibration parameters, and then an accuracy assessment of the calibrated point clouds. The registration algorithm used here is a modified version of ICP (Iterative Closest Point), which overcomes the need for initialization and eliminates manual intervention in installing targets or retro-reflectors. Finally, we evaluated the accuracy of the fused point cloud collected in an open environment using two calibrated Velodyne VLP16 sensors. For accuracy assessment, we used the PCA eigenvalue and RMSE value to observe how tightly point clouds are fused. As a calibration result, we got the orientation and translation parameters, which are used to achieve the common coordinate system, and accomplished calibration accuracy up to single-digit precision from all the experimental sites. Now the system of two calibrated VLP16 sensors will provide higher coverage and increased data density and might be useful for forest applications.
The Performance of the Optical Flow Field based Dense Image Matching for UAV Imagery
Authors: Yuan Wei , Ran Weihang , Adriano Bruno , Shibasaki Ryosuke , Koshimura Shunichi
Published: October 2024

Abstract. With the rapid development of sensing platforms, unmanned aerial vehicle (UAV)-based mapping has become increasingly popular because of its economic efficiency and flexibility, especially for providing 3D information to support urban growth monitoring and change detection to meet sustainable development goals (SDGs). This paper presents an improved optical flow field-based dense matching algorithm (OFFDM) for low-altitude UAV images based on the Ph.D. thesis of Yuan (Yuan, 2018). First, high-precision seed points were used to compute the optical flow field within stereo pairs, effectively minimizing redundant calculations during the fine-matching phase. Second, a fine-matching approach, integrating multiple constraints, was applied to refine the coarse matching results based on the optical flow field. Extensive dense matching experiments on UAV low-altitude aerial imagery assessed the performance of OFFDIM across four dimensions: 3D point cloud visualization, matching success rate, precision, and reliability. Extensive experiments on low-altitude UAV imagery, characterized by a resolution of 7cm per pixel over a 10,608×8,608 pixel dimension and a 60% forward overlap, evaluate the OFFDM's efficacy. The quantitative evaluation revealed that the proposed method achieved an accuracy of ±0.7 pixels in image coordinates and ±20 cm on the ground, with a matching success rate exceeding 97%. The processing time was approximately 272 seconds for handling one single stereo pair. When compared to the widely adopted PMVS algorithm, known for its effectiveness in dense matching for UAV images, the proposed method demonstrated higher completeness and improved matching efficiency by more than five times. These results demonstrated that the proposed approach is more suitable for dense matching on UAV imagery-based high-precision 3D spatial data extraction, supporting global mapping tasks more effectively.
NeRF-based Localization and Meshing with Wearable Laser Scanning System: A Case Study in Underground Environment
Authors: Zhang Yizhe , Li Jianping , Zhao Xin , Liao Youqi , Dong Zhen , Yang Bisheng
Published: October 2024

Abstract. Due to the subterranean scene’s poor lighting conditions and variability of the environment, real-time localizing and meshing in complex underground scenes present a challenging task, with high-potential applications in mining and tunnel protection. In this work, we propose a method that combines SLAM and NeRF for mesh reconstruction in the underground environment with a wearable device. First, a LiDAR-Inertial odometry is used for pose estimation. The resulting poses and sequential laser frames are synchronized to generate a novel data structure, scan-block, which is crucial for improving efficiency and ensuring local precision. This structure is designed to enhance efficiency and ensure local precision. Finally, the generated scan-blocks are passed to the backend NeRF for real-time mesh reconstruction. The experiments are carried out in a complex underground space. The experimental results proved that this method achieved good results. The demo video can be found at https://youtu.be/_y1vbaW06EM?si= hFnAl12u-ffU933h.
Glenohumeral joint septic arthritis and osteomyelitis caused by Moraxella catarrhalis after arthroscopic rotator cuff repair: case report and literature review
Authors: Kim Yong-Beom , Kim Jinjae , Song Min Gon , Kim Tae Hyong , Choi Tae-Yoon , Seo Gi-Won
Published: October 2024

Abstract. Moraxella catarrhalis commonly colonizes the upper respiratory tract of humans, but infection caused by M. catarrhalis after orthopedic surgery is rare. Here, we report the first case of septic arthritis of the shoulder caused by an M. catarrhalis infection and outline the diagnosis and treatment steps as well as differences compared with other cases.
Analysis of the Implementation of Electronic Medical Records in Efficiency, Productivity, and Performance of Health Services at the Sriamur Bekasi Health Center with the Wellbeing Method
Authors: W.D.1 Himas , Ria Rajagukguk Jenni , Muktiono Ayub
Published: October 2024

The application of digital technology in health services has significantly improved efficiency and service quality. Electronic Medical Record (E.M.R.) is a technology implementation that records, stores, and manages patient medical data electronically. This study aims to analyze the impact of using E.M.R. on the productivity and efficiency of health services at the Sriamur Bekasi Community Health Center. This research uses the Wellbeing method with a qualitative approach. Primary data was collected through in-depth interviews and questionnaires distributed to the medical and administrative staff of the Sriamur Community Health Center. Secondary data on the number of patients before and after E.M.R. implementation was also analyzed. The leading indicators measured include service time, quality, error rate, and human resource utilization. The research results show a significant increase in productivity and efficiency after E.M.R. implementation. The number of patients served per day increases, and the time required for recording and retrieving patient data is reduced. Respondents indicated high satisfaction with using E.M.R., with the majority assessing that the system helps speed up administrative processes and improve the accuracy of medical data. Implementing E.M.R. at the Sriamur Bekasi Community Health Center has increased the medical staff's operational efficiency and productivity. This technology makes it easier to access and manage patient data and reduces the administrative burden so that medical personnel can focus more on health services. To maximize the benefits of E.M.R., ongoing training and regular evaluation of existing systems and procedures are required.
"Nach einem andern Stern wollen": Kafka y la búsqueda del yo judío
Authors: Alemany David , Lorente Esther
Published: October 2024

El presente artículo aborda la compleja relación de Franz Kafka con su identidad judía, explorando la intersección entre su biografía, escritos y contexto cultural. A través de su literatura personal, Kafka retrató la tensión entre la asimilación y la tradición, rebelándose contra la primera a través de una búsqueda de un ideal del yo judío en múltiples facetas de la judeidad: desde el yidishismo hasta el sionismo. Su búsqueda representó un desafío a la dinámica de la asimilación y fue un intento de emanciparse de la totalizante figura de su padre, Hermann, quien encarna las consecuencias de la asimilación en la autonarración de Kafka.
La búsqueda del yo judío llevó a Kafka a enfrentar tensiones inherentes a la experiencia del antisemitismo, pero también al anhelo por una identidad estable que, al igual que muchos de sus contemporáneos,
supuso la búsqueda de toda una vida.
CONTENT AND LANGUAGE INTEGRATED LEARNING IN CONDITIONS OF LIFELONG EDUCATION IN THE REPUBLIC OF KAZAKHSTAN
Authors:   M.Kh. Dulaty Taraz Regional University, Abdrakhman Gulnar , Issabekova Gulnur ,   M.Kh. Dulaty Taraz Regional University
Published: October 2024

The article reveals the features of content and language integrated learning in the conditions of lifelong education in the Republic of Kazakhstan. This approach is being studied and actively implemented in the educational policies of many countries, including the Republic of Kazakhstan, so the purpose of our research is to determine the features of the dissemination of the CLIL Policy in the conditions of lifelong education in the Republic of Kazakhstan. Objectives: to study and analyze the use of the CLIL definition in foreign and domestic language education related to teaching a subject in a foreign language; analyze the use of various theoretical and predictive models and CLIL lesson plans that form the foreign language communicative competence of specialists in different fields; show the results of the CLIL application in higher educational institutions and educational organizations, identifying the main advantages and problems of implementing CLIL in the conditions of lifelong education in the Republic of Kazakhstan. The article outlines the indicators of professional training for CLIL specialists who are proficient in a foreign language and the CLIL methodology within the context of trilingualism and the updated educational content. It highlights the importance of integrating linguistic and methodological training for CLIL educators in developing academic language and professional competence. The list of Kazakhstani studies presented in the article provides insight into the effectiveness of implementing this approach in the country. The authors have not only attempted to summarize the new paradigm, where CLIL is actively utilized in the multilingual education system, but also to discuss certain significant characteristics that have not found a clear resolution in language education. The results of the survey provided a comprehensive view of the implementation of the CLIL approach in the educational process and identified the challenges encountered during its implementation.
CRITICAL AND DEVELOPMENTAL ANALYSIS IN STUDENTS' RESEARCH ACTIVITIES
Authors:   Abai Kazakh National Pedagogical University, Kappassova Sandugash , Abylkassymova Alma ,   Abai Kazakh National Pedagogical University, Mussaibekov Rashid ,   Sh.Ualikhanov Kokshetau University, Abdirkenova Akbidash ,   Akhmet Baitursynuly Kostanay Regional University
Published: October 2024

The relevance of the article is determined by the need to introduce innovative methods into the educational process. This paper examines methodological approaches to the introduction of critical and developmental analyses into the educational process, as well as their impact on the research skills of schoolchildren. The examples of practical application of these methods are analyzed, their impact on the motivation of students, and the prospects for their further use for the formation of students' independence and critical thinking in the learning process are identified. The research is based on a comparison of the concepts of critical analysis and critical thinking. The scientific significance of paper lies in clarifying the role of the research approach in teaching, and the practical significance lies in the possibility of applying the results to improve educational strategies. The methodology includes an analysis of existing theories and approaches, as well as an empirical study of the application of critical thinking in educational practice. The main results confirm that the research approach contributes to the development of critical thinking in students, which makes the article a valuable contribution to pedagogical practice and theory.
THE READINESS OF SPECIAL EDUCATION TEACHERS AS THE MAIN FACTOR OF THE SUCCESS OF THE INCLUSIVE EDUCATION
Authors:   Abai Kazakh National Pedagogical University, Movkebayeva Zulfiya , Dyussenbayeva Bibigul ,   M.Kozybayev North Kazakhstan University
Published: October 2024

The article discusses the issues of modernizing the training special education teachers to work within inclusive education environment. The widespread of inclusive education has necessitated the reorientation of traditional defect-oriented training for upcoming professional activities in general education kindergartens and schools as the main specialist organizing psychological and pedagogical support for children with disabilities and responsible for their integration into the environment of typically developing peers. The authors analyze foreign and domestic scientific approaches determining the professional competence of a special education teacher to work within inclusive education environment. The authors prove the need to improve the competencies of special education teachers in inclusive educational process. The development of inclusive professional and personal competencies among teachers largely depends on the success of including children with special educational needs in the general educational process. Based on the conducted empirical research, some pedagogical recommendations have been developed and proposed to modernize the training of special education teachers to work within inclusive education environment. The above-mentioned transformations naturally led to a change in the requirements for teachers responsible for organizing, coordinating and for the success of inclusive education.
PREPARING FUTURE TEACHERS FOR THE EARLY ADAPTATION OF YOUNGER STUDENTS TO THE OCCUPATIONAL CHOICE
Authors:   K.Zhubanov Aktobe Regional University, Sary Bolgan , Abdirkenova Akbidash ,   Akhmet Baitursynuly Kostanay Regional University, Zhussupova Zhanna ,   K.Zhubanov Aktobe Regional University, Sultangaliyeva Olga ,   K.Zhubanov Aktobe Regional University
Published: October 2024

The aim of the study was to explore and highlight the importance of preparing young schoolchildren for early adaptation to a profession. American psychologists Joseph Luft and Harrington Ingham help people understand individuals using their multifaceted concept of the Johari Window. The Johari Window helps every professional reflect on their role. In defining the research problem, criteria and indicators for preparing future teachers to support young schoolchildren in adapting to a profession were initially studied. Experimental work was then conducted in accordance with these specified criteria and indicators. Kyzylzhar secondary school in Aktobe and Myrzhakyp Dulatov lyceum school No. 63 took part in the study. Myrzakypa Dulatova. In this context, the study involved working with 2nd-grade students. A total of 8 classes participated, consisting of 238 children. The average age was 7.6 years (SD=95). All students attended in-person classes and were divided into existing academic groups. During the study, students were randomly divided into groups of 7 for each academic class. Within these groups, career guidance programs were taught and implemented. Considering the goals of the experiment, the permissible sampling error did not exceed p=4.36, indicating that the current student model is representative for the purposes of the research. As a result, a ranking of survey questions was determined, and the reliability of the survey was assessed using Cronbach's alpha coefficient.
Industrial, managemental, and company-size determinants of tax avoidance in the coal mining sector
Authors: Febiansyah Egi Saputra , Stiawan Hari
Published: October 2024

This study aims to determine whether there is an influence of institutional ownership, independent managerial ownership and company size on tax avoidance in coal sub-sector mining companies listed on the Indonesia Stock Exchange for the period 2017-2022. This study uses quantitative descriptives. The sampling technique used is purposive sampling with a total sample obtained of 8 companies within 6 years so that 48 samples were obtained after the criteria data were taken. The analysis used is panel data analysis using Eviews 9 software. The results of the analysis test state that the variables of institutional ownership, independent managerial ownership, and company size have an influence on tax avoidance simultaneously. Partial testing states that the variables of institutional ownership and independent managerial ownership do not have a positive effect on tax avoidance, while company size affects tax avoidance
part that social media plays in advertising MSMEs goods in Patas 1 Village, Gunung Bintang Awi District, South Barito Regency
Authors: Marlina Dika , Yuriawati Ardita , Subakti Akbar Ridho , Darmawan Cahyo Wahyu
Published: October 2024

This study discusses the role of social media in marketing products of Micro, Small, and Medium Enterprises (MSMEs) in Patas 1 Village, Gunung Bintang Awai District, South Barito Regency. MSMEs are an essential sector in the village's economy, with various businesses such as culinary, handicrafts, and traditional weapon production. Social media platforms like Facebook and WhatsApp have helped some MSME actors expand their markets and increase product sales. However, some MSMEs have yet to utilize social media due to limited knowledge fully. This study aims to evaluate the effectiveness of social media use in MSME marketing and provide appropriate strategy recommendations. The evaluation methods used were interviews and direct observation. The study's findings indicate that social media significantly expands market networks, builds consumer interactions, and increases product sales. However, challenges such as lack of creativity and competition from similar products remain. Therefore, training and socialization on social media use for MSME actors are necessary to maximize their marketing potential in the digital era
Analysis of production cost calculation using full costing method on selling price of Sogistudio MSMEs in Pasuruan
Authors: Haliza Sabrina Ainur , Nurrahma Ilfi , Afdhillah Nur Aini , Chilmi Hanum Roudhotul , Fahriani Dian
Published: October 2024

Cost of goods manufactured (COGS) is the direct and indirect costs incurred to improve an item so that it can be sold. Before determining the selling price, it is necessary to calculate the cost of goods produced. This descriptive qualitative research uses interview methods and literature studies to collect, analyze, and interpret data to obtain a deep understanding. This study aims to determine the importance of calculating the cost of production of t-shirt products at the Nobashi shrimp factory in Sogi Studio MSMEs using the full costing method. this research uses the full costing method analysis tool, where the definition of the full costing method is a method of determining the cost of production to take into account all elements of production costs into the cost of goods manufactured. The results of this study indicate that Sogi Studio MSMEs have made accurate calculations. Researchers classify production costs into three categories: raw material costs, direct labor costs, and factory overhead costs, which can be both variable and fixed costs
influence of profitability, company size, and the audit committee on earnings quality
Authors: Magdalena Annastasia , Rahmiati Rahmiati , Diarsyad M. Ichsan
Published: October 2024

This study aims to provide an empirical explanation of the effect of profitability, company size and audit committee on earnings quality. This study uses quantitative descriptive research with secondary data in the form of annual financial reports of food and beverage companies listed on the Indonesia Stock Exchange for the period 2018-2022. The sample selection used purposive sampling, and the number of samples used was 115 samples, and the analysis tool used was Statistical Product and Service Solutions (SPSS) 26. The analysis techniques used are descriptive analysis and multiple linear regression analysis. The results of the research indicate that profitability has no effect on earnings quality; 2) company size has no effect on earnings quality; 3) audit committee has a positive and significant effect on earnings quality; and 4) profitability, company size and audit committee simultaneously affect earnings quality.
Updated Profile of Clinical Manifestations of Onchocerciasis after Repeated Ivermectin Treatment in Middle Imo River Basin, Nigeria
Authors: A. A. Amaechi, , J. I. Iwunze, , D. Uzowuru, , A. U. Ebeh-Njoku, , O. U. Chimara, , G. E. Alisi, , M. C. Nwokeji, , C. P. Tony-Nze, , A. Aderibigbe, , I. Orimogunje, , O. H. Aremo,
Published: October 2024

We conducted a cross-sectional survey on the impact of ivermectin after repeated treatment in five communities in Imo State, Nigeria. Rapid epidemiological mapping of onchocerciasis (REMO) carried out in 450 subjects in 1994 prior to the launching of mass drug administration were compared with re-examinations of 540 subjects in 2023. We found palpable nodule reduction from 47.2% to 12.2% and popular dermatitis decreased from 42.9% to 5.9%. Reductions in other clinical features were observed. Overall, a significantly higher proportion of males were infected than females (P<0.05). The implications of these results were discussed in line with the reported benefits of ivermectin therapy.
Formulation and Evaluation of Herbal Hand Sanitizer
Authors: Kumar Ankit , Gupta Rajesh
Published: October 2024

Hands are the to begin with mode of transmission of organisms and diseases. Hand cleanliness is a key guideline and work out in the anticipation, control and lessening of contaminations. Due to COVID widespread the require of hand sanitizer has expanded which causes less dryness to hand. Considering the require, we arranged a polyherbal sanitizer utilizing seven plant extricates with other fixings counting isopropyl liquor, camphor, hydrogen peroxide, glycerol and water. The fixings were chosen on the premise of their antimicrobial property. The fixings and sanitizer were assessed for antimicrobial property and appeared strong action against gram positive microbes S. aureus, though blend of extricates appeared strong action against all the bacterial strains utilized but B. cereus. The sanitizer moreover appeared strong action against all the strains utilized in the climbing arrange of Klebsiella spp. > B. cereus > S. aureus > S. pyogenes > P. aeruginosa > Dermatophyte > E. coli and gave zone of hindrance of 18±0.05, 12±0.03, 11±0.01, 10±0.01, 9±0.5, 9±0.01 and 7±0.001 mm separately. The antimicrobial action was compared with other commercial hand sanitizer and greatest movement was appeared against Klebsiella spp. and least against E. coli and P. aeruginosa by all the sanitizer utilized. The adequacy of hand sanitizer was checked on hands of 38 volunteers of research facility specialists, patients and their relatives with composed and verbal assent. The sanitizer decreased or disposed of the development of pathogens confined from hands. Time interim impact was moreover checked at a time crevice of two hours too appeared the impact of hand sanitizer for longer time with diminishment in bacterial development. The sanitizer pH was soluble with great rack, surface and odor. No turbidity was seen when kept at higher temperature for 3 months and appeared no skin dryness with relieving impact after utilizing sanitizer on diverse volunteers.
Predictive Analysis and Judgement Forecasting of Government Employee’s Service Matters under purview of Machine Learning
Authors: Vijay Shanker Pandey
Published: October 2024

The integration of Machine Learning (ML) into the legal system represents a significant advancement, reshaping how judgments are delivered and cases are managed. This paper explores the transformative potential of ML techniques in enhancing the Indian legal system, focusing on predicting case outcomes and improving legal research efficiency. The study specifically addresses the application of ML in predicting judgments within the services tribunal court of Uttar Pradesh, a novel area of research in India. We design and evaluate a machine learning model to classify four types of petitions: Minor Punishment Cases, Major Punishment Cases, Recovery (Financial Irregularity/Loss) Cases, and Retirement/Pensionary Benefits Cases. By training the model on a comprehensive labeled dataset of case characteristics, we employ various ML techniques including Naive Bayes Classifier, Support Vector Machine, K-Nearest Neighbors, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Neural Networks, and Ensemble Learning. The model's performance is assessed through metrics such as accuracy, precision, recall, and F1 score. This ML framework aims to aid judges in predicting case outcomes and streamline the decision-making process, offering valuable insights to both legal professionals and non-specialists. The results indicate that ML can significantly reduce workload, enhance prediction accuracy, and facilitate better case management in the judiciary.
Remote Measurement of Heliostat Reflectivity with the Backward Gazing Procedure
Authors: Hénault François , Flamant Gilles , Caliot Cyril
Published: October 2024

Concentrated solar power is a promising technique enabling renewable energy production with large scale solar power plants in the near future. Estimating quantitatively the reflectivity of a solar concentrator is a major issue, since it has a significant impact on the flux distribution formed at the solar receiver. Moreover, it is desirable that the mirrors can be measured during operation in order to evaluate environmental factors such as day/night thermal cycles or soiling and ageing effects at the reflective surfaces. For that purpose, a backward gazing method that was originally developed to measure mirror shape and misalignment error was developed. The method operates in quasi real-time without disturbing the heat production process. It was successfully tested at the Themis solar tower power plant in Targasonne, France. Its basic principle consists in acquiring four simultaneous images of a Sun-tracking heliostat, captured from different observation points located near the thermal receiver. The images are then processed with a minimization algorithm allowing the determination of the reflectance and slopes errors of the mirrors. In this communication, it is shown that the algorithm allows one to get quantitative reflectivity maps at the surface of the heliostat. The measurement is fully remote and is used to evaluate surface reflectivity that depends on optical coatings quality and soiling effects. Preliminary results obtained with a Themis heliostat are presented. They show that reflectivity measurements can be carried out within repeatability about ± 5% Peak-to-Valley (PTV) and 1% RMS. Ways to improving these numbers are discussed in the paper.
A Technical-Economic Assessment of Producing Hydrogen and Biofuels via Gasification of Biomass in Solar Hybridised Dual Fluidised Bed
Authors: Ngo Nguyet Ky , Hosseini Tara , Ashman Peter , Nathan Graham , Saw Woei
Published: October 2024

In this work, the techno-economic performances of three conversion pathways using an upstream solar hybridised dual fluidised bed (SDFB) for biomass gasification were assessed. The annual solar share % over the solar multiple range of 1.4-3.4 varies between 7-17%, with the CO2 emissions avoided relative to the non-solar case varying between 7%-23%, using representative solar viability location in Australia. The projected break-even price varies between 5.5-6.1 AUD/kg (3.8-4.25 USD/kg) for hydrogen, 1.1-1.2 AUD/kg (0.75-0.85 USD/kg) for methanol, and 1.5-1.7 AUD/L (1.1-1.2 USD/L) for liquid fuels over the analysed oversize level of 1.4 to 3.4 at thermal storage capacity designs with less than 1% solar dumping rate for base case scenario. Overall, the derived break-even price from the SDFB gasifier configuration is higher than that of the non-solar gasifier case, yet this is dependent on the cost of supplement heat supply and carbon credit
Factors Affecting the Degree of Harm Patient Safety Incidents in General Hospitals during the COVID-19 Pandemic
Authors:   Korea Safety Culture Society, Jeong Jeon Yu , Kim Yea Eun , Park Jong Ho
Published: October 2024

The objective of this research was to identify the characteristics of patient safety incidents in general hospitals and factors affecting the degree of harm during the COVID-19 pandemic, thereby providing basic data to reduce patient safety incidents and improve the quality of medical care. Patient safety reporting data released by the Korea Institute for Healthcare Accreditation was utilized in this study, including a total of 19,217 cases during the COVID-19 pandemic from 2020 to 2022. The difference in the degree of harm from patient safety incidents according to general characteristics was cross-analyzed using χ2. A multinomial logistic regression analysis was conducted to determine the factors affecting the degree of risk from patient safety Incidents. Regarding patient safety incidents in general hospitals, there were significant differences in the occurrence of near errors, hazardous events, and red flag events depending on gender, age, size of hospital bed, location of incidents occurrence, incidents reporter, and incidents type. Based on these findings, it is suggested that in an 'international public health emergency' such as COVID-19, it is necessary to redeploy personnel in charge of patient safety at the national level, distribute manuals, and prepare a feedback system through the analysis of the status of frequent errors by region and healthcare institutions.
A formação da crítica de Marx à economia política
Authors: Musto Marcello
Published: October 2024

O objetivo deste artigo é reconstruir os estágios da crítica de Marx à Economia Política à luz das aquisições filológicas da Marx Engels Gesamtausgabe (MEGA 2) e, portanto, oferecer uma avaliação mais exaustiva da formação do pensamento de Marx do que se tem oferecido. O texto procura reconstruir os estudos em Economia Política conduzidos por Marx em Paris, Manchester e Bruxelas entre 1843 e 1847 e considerar o destino político e pessoal de Marx durante as revoluções de 1848 e seu exílio em Londres. Sua seção mais longa tem como foco os 26 cadernos de anotação com excertos que ele compilou entre 1850 e 1853, conhecidos como Cadernos de Londres. Estes carregam os traços de sua imersão em dezenas de obras de economia política e tornam possível reconstruir uma fase importante no pensamento de Marx que poucos intérpretes têm investigado até agora. Finalmente, a última seção recapitula o desenvolvimento de sua posição nos artigos que ele escreveu para o New York Tribune, sobre a possibilidade de uma crise econômica na década de 1850. A eclosão de tal crise, eventualmente, coincidiu com o seu trabalho inicial sobre os Grundrisse. Uma tabela, impressa como apêndice, indica a ordem cronológica dos cadernos de anotações, dos manuscritos e das obras sobre Economia Política no período 1843-1858.
Pampulha e Brasília, ou as longas raízes do formalismo no Brasil
Authors: Martins Luiz Renato
Published: October 2024

De onde vem a “forma livre” surgida na Pampulha e marca registrada do “talento” brasileiro para a arquitetura moderna? Raízes do Brasil, publicado alguns anos antes, antecipava uma resposta para a origem de tal talento, que aflora, mas subjaz tal a face oculta dos donos da terra, também sob as formas monumentais de Brasília. Por que retornar ao mito de origem da dita “Cidade Nova”? O da cidade planejada para uma modernização sem conflitos, de que o mitificado governo JK (1956-1961) surge como paradigma? De que valeria evocar o mito de Brasília, ex-voto da cordialidade, quando a “Cidade Nova” aparece engolida por realidade oposta, a de um país de mega-aglomerações urbanas – vísceras do inferno a céu aberto, diante das quais o ato de planejamento da Nova Capital, de JK, parece momento efêmero e de exceção? Importa retornar hoje à origem de Brasília, se for para, ao se atravessar o mito da conciliação, aí se distinguir não a exceção, mas a presença de uma estrutura de raízes coloniais cujo poder ordenador permanece.