bluuebunny/crossref_metadata_2025 huggingface dataset:
17. KẾT QUẢ QUẢN LÝ ĐIỀU TRỊ BỆNH NHÂN THOÁI HOÁ KHỚP GỐI BẰNG PHƯƠNG PHÁP CẬN TAM CHÂM KẾT HỢP BÀI THUỐC TAM TÝ THANG VÀ VẬN ĐỘNG TRỊ LIỆU TẠI BỆNH VIỆN Y HỌC CỔ TRUYỀN TỈNH THỪA THIÊN HUẾ
Authors: Như Nguyễn Hồ Minh , Tân Nguyễn Thị
Published: September 2024

Mục tiêu nghiên cứu: Mô tả kết quả quản lý điều trị bệnh nhân thoái hoá khớp gối bằng phương pháp Cận tam châm kết hợp bài thuốc Tam tý thang và vận động trị liệu tại bệnh viện Y học cổ truyền Tỉnh Thừa Thiên Huế.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu can thiệp lâm sàng không có nhóm chứng, so sánh kết quả trước sau điều trị, trên 45 bệnh nhân ≥ 40 tuổi được chẩn đoán xác định thoái hoá khớp gối giai đoạn I, II, III. Trước điều trị bệnh nhân được đánh giá lâm sàng và cận lâm sàng theo thang điểm VAS, chỉ số WOMAC, tầm vận động khớp gối, sau đó được tiến hành điều trị kết hợp ba phương pháp: Châm cứu theo Cận tam châm, sử dụng bài thuốc Tam tý thang và tập vận động trị liệu. Đánh giá kết quả sau 7 và 15 ngày điều trị.
Kết quả: Bệnh nhân thoái hoá khớp gối sau 15 ngày điều trị, điểm VAS từ 6,08 ±1,54 giảm xuống 1,33 ± 1,37 với hiệu số giảm là -4,75 ± 0,69 (p<0,05); Chỉ số WOMAC tổng trung bình giảm từ 49,58 ± 11,19 xuống còn 12,11 ± 7,71 (p<0,05); ba chỉ số về WOMAC đau, WOMAC cứng khớp và WOMAC vận động đều giảm có ý nghĩa với p<0,05; Tầm vận động khớp gối có hiệu số tăng là 21,86 ± 7,68° (p<0,05). Không ghi nhận các triệu chứng cơ năng không mong muốn trong quá trình điều trị.
Kết luận: Kết quả quản lý điều trị bệnh nhân thoái hoá khớp gối nguyên phát đáp ứng tốt với ba phương pháp điều trị kết hợp gồm: Cận tam châm, bài thuốc Tam tý thang và vận động trị liệu; và an toàn trong quá trình điều trị người bệnh.
26. THỰC TRẠNG BỆNH NGHỀ NGHIỆP NHIỄM ĐỘC BENZEN VÀ ĐỒNG ĐẲNG KÈM THEO MỘT SỐ YẾU TỐ LIÊN QUAN Ở NGƯỜI LAO ĐỘNG LÀM VIỆC TẠI CÔNG TY XĂNG DẦU NĂM 2022
Authors: Thi Lâm Quốc , Sang Thông Thiên , Thái Đoàn Minh , Thư Huỳnh Nguyễn Minh , Hà Đàm Thị Thu , Tâm Lê Văn , Thư Trần Thị Mai , Lành Vưu Thị Mỹ , Nam Huỳnh Trần Quốc , Vũ Hồ Hoàng
Published: September 2024

Đặt vấn đề: Dung môi hữu cơ là một nhóm chất hóa học có thể gây độc đối với hệ thần kinh, tim mạch, hệ thống tạo máu trong một thời gian dài. Benzen, Toluen, Xylen và các đồng đẳng có độc tính với con người đã được thế giới cũng như Việt Nam quan tâm nghiên cứu từ rất lâu. Ở nước ta, bệnh do tiếp xúc với benzen và các đồng đẳng đã sớm được đưa vào danh mục các bệnh nghề nghiệp và được bảo hiểm năm 1976.
Mục tiêu: Mô tả thực trạng bệnh nghề nghiệp nhiễm độc Benzen và đồng đẳng kèm theo một số yếu tố liên quan ở người lao động tiếp xúc với xăng dầu năm 2022.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang tiến hành từ 05/2022 đến tháng 10/2022 với cỡ mẫu là 336 người lao động.
Kết quả: Có 10 người lao động theo dõi bệnh nhiễm độc Benzen nghề nghiệp chiếm tỷ lệ 3%. Trong đó, các triệu chứng thường gặp nhất bao gồm: Đau đầu, chóng mặt, buồn nôn thường xuất hiện buổi trưa nắng nóng, rối loạn về dòng hồng cầu. Nhóm công nhân tuổi nghề ≥ 10 năm có nguy cơ nhiễm độc gấp 41,5 lần so với nhóm tuổi nghề dưới 10 năm (p<0,001, Fisher’s exact test). Bệnh nhiễm độc Benzen nghề nghiệp xảy ra chủ yếu ở nhóm tuổi từ 30- 49 tuổi, nữ nhiều hơn nam, nhóm công nhân lái xe chở xăng dầu có nguy cơ cao hơn nhóm bán xăng dầu (p>0,05).
Kết luận: Tỷ lệ bệnh nghề nghiệp nhiễm độc Benzen ở người lao động tiếp xúc với xăng dầu là 3%, các triệu chứng thường gặp là đau đầu, chóng mặt, buồn nôn, rối loạn về dòng hồng cầu. Có mối liên quan giữa bệnh bệnh nghề nghiệp nhiễm độc Benzen với tuổi nghề và vị trí ngành nghề công việc.
28. KẾT QUẢ BƯỚC ĐẦU VỀ QUẢN LÝ VĂN HÓA TỔ CHỨC TẠI MỘT SỐ BỆNH VIỆN, THÀNH PHỐ HỒ CHÍ MINH, NĂM 2024
Authors: Ngọc Lê Thị , Tập Nguyễn Văn , Chiến Lê Thanh , Bảo Phí Vĩnh , Thắng Trần Quốc
Published: September 2024

Mục tiêu: Mô tả kết quả bước đầu về quản lý văn hóa tổ chức tại một số Bệnh viện, Thành phố Hồ Chí Minh, năm 2024.
Phương pháp: Thiết kế cắt ngang mô tả được tiến hành trên 320 nhân viên y tế có thâm niên công tác từ 1 năm trở lên tại 8 Bệnh viện, Thành phố Hồ Chí Minh từ tháng 05/2023 đến tháng 11/2023. Sử dụng bộ công cụ OCAI để các đối tượng nghiên cứu tự điền.
Kết quả: Văn hóa tổ chức hiện tại của một số Bệnh viện, Thành phố Hồ Chí Minh là sự kết hợp của bốn loại hình văn hóa tổ chức, xu hướng văn hóa cấp bậc (3,57 ± 0,48 điểm), kế đến là văn hóa gia đình (3,48 ± 0,48 điểm), văn hóa sáng tạo (3,45 ± 0,55 điểm), văn hóa thị trường (3,36 ± 0,58). Không có sự chênh lệch lớn giữa các xu hương văn hóa mặc dù văn hóa hiện tại của bệnh viện đang thể hiển tính chất hướng nội nhiều hơn. Trong tương lai, nhân viên y tế mong muốn các bệnh viện phát triển văn hóa gia đình (3,87 ± 0,40 điểm) và văn hóa sáng tạo (3,74 ± 0,41 điểm), giảm ảnh hưởng của văn hóa thị trường (2,96 ± 0,23 điểm) và văn hóa cấp bậc (3,22 ± 0,20 điểm).
Kết luận: Văn hóa cấp bậc đang chiếm ưu thế nhưng mong muốn của nhân viên y tế trong tương lai là tăng xu thế văn hóa gia đình và văn hóa sáng tạo.
39. TỶ LỆ NHIỄM TRÙNG THANH NÂNG NGỰC VÀ CÁC YẾU TỐ LIÊN QUAN SAU PHẪU THUẬT NUSS ĐIỀU TRỊ LÕM NGỰC BẨM SINH
Authors: Vỹ Trần Thanh , Bằng Hồ Tất , Tấn Nguyễn Minh , Cường Lâm Thảo , Đình Lê Quang
Published: September 2024

Mục tiêu: Xác định tỷ lệ và các yếu tố liên quan đến nhiễm trùng thanh sau phẫu thuật Nuss điều trị lõm ngực bẩm sinh tại Bệnh viện Đại học Y Dược thành phố Hồ Chí Minh.
Phương pháp: Nghiên cứu hồi cứu tại Bệnh viện Đại học Y Dược TP. Hồ Chí Minh, phân tích hồ sơ bệnh án của 218 bệnh nhân lõm ngực đã thực hiện phẫu thuật Nuss từ tháng 1/2019 đến tháng 5/2024. Dữ liệu bao gồm đặc điểm nhân khẩu học, kỹ thuật phẫu thuật và kết quả hậu phẫu. Các phân tích thống kê, như kiểm định t-test và chi-squared, được sử dụng để xác định các yếu tố nguy cơ nhiễm trùng đáng kể.
Kết quả: Tỷ lệ nhiễm trùng thanh là 1,4% (3/218), thấp hơn so với tỷ lệ 4% đã báo cáo ở các nghiên cứu trước đó. Nhiễm trùng liên quan đáng kể đến lõm ngực lệch tâm và sử dụng thanh kép. Tất cả bệnh nhân nhiễm trùng đều có lõm ngực lệch tâm (100%, p = 0,031), và 85,71% sử dụng thanh kép (p = 0,008). Thời gian phẫu thuật dài hơn cũng liên quan đến nguy cơ nhiễm trùng cao hơn (100 ± 17,32 phút đối với nhiễm trùng so với 69,54 ± 26,41 phút không nhiễm trùng, p = 0,042).
Kết luận: Nghiên cứu của chúng tôi chỉ ra rằng tỷ lệ nhiễm trùng thanh sau phẫu thuật Nuss thấp hơn so với các nghiên cứu trước đây, tuy nhiên, vẫn có các yếu tố nguy cơ đáng kể như cấu trúc ngực lệch tâm, sử dụng thanh kép, và thời gian phẫu thuật kéo dài. Tăng cường các biện pháp phòng ngừa và tối ưu hóa kỹ thuật phẫu thuật là cần thiết để giảm thiểu các biến chứng và cải thiện kết quả điều trị.
41. CHẤT LƯỢNG CUỘC SỐNG Ở NGƯỜI BỆNH SUY TĨNH MẠCH MẠN TÍNH CHI DƯỚI
Authors: Vỹ Trần Thanh , Bằng Hồ Tất
Published: September 2024

Mục tiêu: Đánh giá chất lượng cuộc sống (CLCS) của bệnh nhân suy tĩnh mạch mạn tính (STM) chi dưới bằng cách sử dụng thang đo CIVIQ-20.
Phương pháp: Nghiên cứu cắt ngang được thực hiện từ tháng 09/2022 đến tháng 06/2024 tại Bệnh viện Đại học Y Dược TP.HCM. Tổng cộng 201 bệnh nhân được chẩn đoán STM chi dưới và có chỉ định can thiệp laser nội mạch đã được đưa vào nghiên cứu. Thang đo CIVIQ-20 được sử dụng để đánh giá CLCS, tập trung vào bốn khía cạnh: Cơn đau, thể chất, tâm lý và xã hội.
Kết quả: Điểm trung bình của thang đo CIVIQ-20 là 57,4 ± 8,2, cho thấy chất lượng cuộc sống của bệnh nhân ở mức trung bình. Khía cạnh xã hội có điểm số thấp nhất (trung bình: 8), cho thấy các hoạt động xã hội và mối quan hệ xã hội bị ảnh hưởng tiêu cực nhất bởi STM. So sánh với các nghiên cứu trước đó tại Việt Nam, chất lượng cuộc sống của bệnh nhân trong nghiên cứu này tốt hơn, nhưng vẫn thấp hơn so với các nghiên cứu ở các khu vực khác.
Kết luận: Suy tĩnh mạch chi dưới ảnh hưởng đáng kể đến CLCS của bệnh nhân, đặc biệt là trong khía cạnh xã hội. Cần ưu tiên các can thiệp nhằm cải thiện chức năng xã hội để nâng cao CLCS tổng thể cho nhóm bệnh nhân này.
Digital Transformation Framework in Consumer Goods Wholesale Industry SMEs : Case Study in Wholesale SMEs of Babelan Districk
Authors: Hidayat Fadli , Hasbullah Hasbullah , Purba Humiras Hardi
Published: September 2024

Small and Medium Industry (SMEs) is one type of business that has experienced a fairly developed growth valuation. Consumer goods wholesale SMEs have experienced rapid growth in the sales sector, specifically in the Babelan sub-district the consumer goods wholesale industry still uses a manual control system in running its business. The sales process with the Conventional System is carried out starting from stock control, sales activity control, sales process, cashier and revenue generation is still done manually. The manual control process causes a slow counting process, and a long process of re- ordering goods and losing assets. The solution needed at this time is the creation of a framework for Digital Transformation Steps in the sales process to facilitate the control of wholesale consumer goods business processes. The digital transformation framework is expected to modernize the sales process starting from the cashier system, revenue control system, sales activity control process and make it easier for wholesalers to order goods. This applied research is expected to be able to provide suggestions for wholesale consumer goods businesses in running their business in a more efficient and practical direction and can be a recommendation to be able to carry out a digitally transformed sales process.
Inventory Planning of Raw Materials for Furniture Products (Case Study: CV XYZ Furniture)
Authors: Dendra Feby Gusti , Amrina Elita , Imansuri Febriza , Nurhadi Hikari Qurrata’ain
Published: September 2024

The burgeoning industrial sector in Indonesia has intensified competition among businesses vying for market share. The furniture industry is a prime example of this dynamic landscape. To expand their market reach, companies must demonstrate their ability to fulfill every consumer demand. Failure to meet these expectations will prompt consumers to seek alternatives. One crucial factor in meeting consumer demands is product availability, which is directly influenced by the availability of raw materials within the company. CV XYZ Furniture, a furniture company based in Padang City, exemplifies this challenge. The company produces a diverse range of furniture, primarily utilizing rattan as its raw material. However, CV XYZ Furniture currently lacks a structured inventory planning method for raw materials, resulting in excess inventory for each period. To address this issue, this research aims to establish an optimized inventory planning strategy for raw materials used in furniture production at CV XYZ Furniture. The continuous review system method serves as the foundation for this endeavor. The research outcomes encompass the determination of optimal demand quantity, reorder point, and safety stock. The implementation of the continuous review system model yielded a significant reduction in total inventory costs, amounting to Rp8,625,594 or 2.03%. It can be proven that the continuous review system model is suitable for calculating raw material inventory at CV XYZ Furniture for raw material planning in the following years.
EVALUATION OF THE EXTERIOR IN DIFFERENT LINES OF THE BELARUSIAN HARNESS BREED AND THEIR INTERRELATION WITH BREEDING QUALITIES
Authors:   Vitebsk State Academy of Veterinary Medicine, Zayats О.V. , Rudak A.N. ,   Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Breeding, Sidorkevich Y.L. ,   Vitebsk State Academy of Veterinary Medicine
Published: September 2024

The article presents the material on the exterior evaluation of mares in the broodstock of the Belarusian harness breed, depending on the linear affiliation. Basic measurements were obtained for horses of the Belarusian harness breed and physique indices were calculated. A breeding assessment of horses by origin, type, size and exterior was also carried out, followed by the calculation of a comprehensive index of breeding value. The findings establish that, in terms of breeding, the most valuable line bred in the CUPAE "Osveisky" is the Bayan line, whose mares had the highest comprehensive index of breeding value, which amounted to 101.72%. Thus, the evaluation of the exterior of horses does not lose its relevance and should be used as an additional factor in the selection of workable horses.
FUSARIUM FUNGI – DIVERSITY OF PROPERTIES, IMPORTANCE AS OBJECTS OF INDUSTRIAL BIOTECHNOLOGY
Authors:   LLC «BIOIN-NOVO», Moscow, Russian Federation, Nugmanova T.A.
Published: September 2024

The paper presents an analytical review of the variety of properties of fungi of the genus Fusarium. An analysis of available experimental studies has shown that this genus has many amazing properties. This is expressed in the production of metabolites that are both extremely harmful to humans, animals and plants, possessing all the characteristics of highly pathogenic substances, exceeding the activity of poisons, and very useful, with medicinal properties. These metabolites find their place both in the treatment of a wide range of diseases and in the form of dietary supplements for humans and animals, as well as stimulants for plant growth and development.
Safety assessment of subsea gas condensate field complex using risk-based inspections
Authors:   Sergo Ordzhonikidze Russian State University for Geological Prospecting, Moscow, Russian Federation, Kharchenko Y.A. , Belikova D.A. ,   National University of Oil and Gas “Gubkin University”, Moscow, Russian Federation
Published: September 2024

Subsea hydrocarbon production is becoming one of the most prioritized types of field development on the Russian shelf. Due to the short navigation period, access to subsea equipment is difficult. Thus, the inspection system is a key process in the life cycle of subsea equipment due to the increased production hazard of offshore fields. The paper considers the peculiarities of application of subsea production units inspection methodology based on risk analysis in the water area of the freezing sea.
JOINT QUASI-OPTIMAL ALGORITHM FOR PROCESSING RADIO SIGNALS OF RADIO EMISSION SOURCES BY AVIATION RADIO SURVEILLANCE FACILITIES
Authors:   Central research radio engineering Institute named after academician  A.I. Berg, Biryukov I.D.
Published: September 2024

The article discusses the development of a joint quasi-optimal algorithm for processing radio signals from radio emission sources by aviation means of radio surveillance. The Bayesian method of a joint quasi-optimal algorithm is used to conduct an independent synthesis of decision rules on discrimination (recognition and detection), resolution, and assessment of the state parameters of a radio source. A block diagram of the developed algorithm is presented. An analysis of the feasibility of a quasi-optimal algorithm is carried out, taking into account the required computational costs for its implementation. Mathematical modeling of the blocks of the developed algorithm was carried out, confirming the increased efficiency of radio signal processing.
Development of an aerial complex for determining the coordinates of ground-based radio sources by the basic correlation method
Authors:   Central research radio engineering Institute named after academician  A.I. Berg, Kustkov I.A. , Tektinov A.O. ,   Central research radio engineering Institute named after academician  A.I. Berg, Volkov E.V. ,   Central research radio engineering Institute named after academician  A.I. Berg, Lomakina D.Yu. ,   Central research radio engineering Institute named after academician  A.I. Berg
Published: September 2024

The article presents the results of the development of an airborne radio intelligence complex that implements a difference-rangefinder method for determining the coordinates of radio-emitting targets with basic correlation processing. The justification of the choice of the coordinate determination method is given. The applied technical solutions are described, which made it possible to reduce the RMS error of determining coordinates, and provided the possibility of mixing the complex on an unmanned aerial vehicle.
Application of Machine Learning in Education: Recent Trends Challenges and Future Perspective
Authors: A. Y. Abdulgaffar , R. Faisal , Mu’az B. , U. Haruna , S. Abbas , A. Y. Ismail , A. I. Hamza , M. A. Bashir
Published: September 2024

In recent times, Machine learning (ML) is one of the most valuable fields of artificial intelligence (AI) that is transforming education. The application of ML in education provides a promising benefit both to the scientists and researchers and this is the focus of this study. This paper reviews recent trends and advancements of ML in education focusing on areas such as personalisation of learning, predictive analytics, plagiarism detection, intelligent tutoring systems, gamification of learning and recommendation systems. After conducting the literature review we found out the current benefits and challenges of ML in education. The paper also provides insight into the applications and provide the recommendations to address the challenges of ML in the field of education.
Power Outage and Vandalism in Akwa Ibom State, Nigeria
Authors: U. V. Esara, , M. E. Asuquo, , F. F. Obonah, , H. T. Eshiet,
Published: September 2024

There are prevalent cases of vandalism on the national grid which usually throws Akwa Ibom State and Nigeria into darkness due to power outages. Transmission Company of Nigeria (TCN) is facing serious challenges of vandalism on electricity facilities across the country as it affects power supply, a situation that has become a social problem affecting both the rich and the poor. This study was conducted to examine the cause of power outage in Akwa Ibom State, Nigeria. Participants were selected using multiple sampling techniques; this includes purposive, snow-ball and simple sampling techniques. Primary data were collected through interview and participant observation. Secondary data were collected from extant literature to make it more scientific. The study recommends that the government should provide a security network that would protect electricity facilities across the state. Government should prosecute any vandal caught sabotaging electricity facilities in the state.
Economic Load Dispatch for Thermal Power Plants using Excel Solver
Authors: Manohar Kalgunde
Published: September 2024

Economic load dispatch (ELD) is a technique used in power system operation to determine the optimal allocation of power generation among available generators to meet the system demand while minimizing the total operating cost. The goal of ELD is to achieve a balance between the demand for electricity and the supply of electricity in the most cost-effective manner. Excel Solver is one of the powerful add-in tools in Microsoft Excel which can be utilized to find global optimum solution for a given optimization problem. It allows users to find the optimal solution to a variety of problems by adjusting specific input variables within certain constraints. In this article, an optimization problem is developed for ELD and Excel Solver is proposed to find the solution. Two case studies viz. 3-unit and 10-unit system are considered and results are obtained using proposed tool. The results show that the proposed tool is effective and user-friendly for solving ELD problem. Overall, this article provides a valuable overview of Excel Solver to solve the ELD problem.
Exploring Machine Learning Techniques for Predictive Analytics in Computational Mathematics
Authors: Vidya Chitre
Published: September 2024

The machine learning (ML) called predictive analytics has become a useful tool in computer mathematics. It lets you make models that can predict what will happen in the future based on data from the past. This paper looks at several machine learning (ML) methods used in predictive analytics within the field of computational mathematics. It focuses on how they work, what they can be used for, and how well they work. We look at regression analysis, neural networks, decision trees, support vector machines (SVM), and ensemble methods in depth, looking at both their theoretical bases and how they are used in real life. It is possible to understand how factors are related using regression analysis, which includes both linear and polynomial regressions. However, because it is so simple, it may not be able to be used for complicated, non-linear situations. Because they are based on biological systems, neural networks are very good at making predictions, especially when dealing with big datasets with lots of complex patterns. But their training process uses a lot of computers and a lot of skill to keep it from overfitting. Decision trees work well for classification and regression tasks because they are simple and easy to understand, but they can become unstable when small changes happen in the data. Because they are based on strong theory, support vector machines work best in spaces with a lot of dimensions and are especially good at solving classification problems. Some methods, like random forests and gradient boosting, use more than one model to make predictions more accurate and reliable. However, they can use a lot of resources and be hard to tune. This paper gives a full picture of what's going on in predictive analytics for computational mathematics by comparing the pros and cons of each method. The new information is meant to help academics and practitioners choose the right machine learning methods for their specific predictive modeling needs. This will eventually help the field of computational mathematics by making predictive analytics more accurate and efficient.
An Computational Framework for Enhanced Early Detection of Diabetic Retinopathy with Transfer Learning Methods
Authors: Harsha Jitendra Sarode
Published: September 2024

Easier early spotting of diabetes retinopathy is important for getting patients help quickly and improving their results. In this research, we used transfer learning techniques to make deep learning models better at automatically finding diabetic retinopathy. Firstly, we used methods for "data augmentation" to make our training sample more diverse. This made our models better at generalization. After this proposed method used fine-tuned the hyperparameters of the transfer learning models. Four transfer learning models caught our attention as MobileNetV2, EfficientNet, VGG16, and a Hybrid Ensemble (DenseNet + Inception). The method focused on the DenseNet model because it had good results in past research and could clearly pick out complex details in medical Images. When combined with data enhancement and fine-tuning, our experiments showed that the DenseNet model worked better than the others in terms of both accuracy and speed. This model, DenseNet, had an amazing success rate of 88.81%, showing that it could be a useful tool for finding diabetic retinopathy early on. The work shows how important transfer learning is in medical image analysis and how to use deep learning models most effectively for finding diabetic retinopathy early. Using advanced machine learning methods to help find and fix diabetic retinopathy will be studied more in the future.
Mathematical Modeling of Multi-Physics Phenomena in Smart Materials and Structures
Authors: Pramod Ambadas Karole
Published: September 2024

Smart materials and buildings show interesting multi-physics effects, where the interaction of different physical fields like mechanics, electromagnetics, thermodynamics, and sound is very important. This essay gives an in-depth look at different mathematical modeling methods used to understand and predict how smart materials and buildings will behave in various situations. At its core, the modeling framework combines guiding equations from various physical fields. This calls for a comprehensive method that takes into account how these events interact with each other in complex ways. The basis is mechanics, which includes fundamental equations that show how materials react to mechanical forces, including elasticity, viscoelasticity, and flexibility. Electromagnetic effects are very important in materials like magnetostrictives and piezoelectrics, where the way electrical and mechanical fields combine determines how they work. To correctly describe this electrical connection, Maxwell's equations are linked to mechanical equations. This lets devices like sensors, motors, and energy harvesters be designed and improved. Thermodynamics is used for shape memory metals and phase change materials, whose behavior is controlled by changes in temperature. Adding heat transfer equations to mechanical and electromagnetic equations helps us fully understand how these materials interact with heat, motion, and electricity, which is important for many uses, from medical devices to spacecraft structures. Structures with active shaking control systems that use piezoelectric materials have interesting acoustic effects. With the help of mechanical and electrical algorithms and acoustic wave transmission models, it is possible to study and create smart structures that can reduce noise and shocks while also improving their performance and integrity. The study also talks about numerical methods, like finite element methods and multiphysics modeling tools, that can be used to quickly solve the linked equations. These tools help us learn more about how complicated materials behave in various working situations.
Tekerlekli Sandalye Basketbol Sporcularının Relatif Kol Kuvvetlerinin İvmelenme Hızı Üzerine Etkileri
Authors: Marangoz İrfan
Published: September 2024

Tekerlekli sandalye basketbolu (WB), en popüler Paralimpik sporlardan biridir ve engelli bireyler tarafından uygulanan başlıca sporlardan biridir. Tekerlekli sandalye basketbol sporu özellikle tekerleği çevirme, ribaund alma, pas atma, baş üstü seviyede şut atma gibi manevralar ve yüksek yoğunluktaki aktivitelerle karakterize, kural ve sınıflandırmalar çerçevesinde oynanan bir spordur. Tekerlekli sandalye ile mobilize olan bireylerde üst ekstremite kas kuvveti oldukça önemlidir. Tekerlekli sandalye basketbol sporunda sporcuların üst ekstremite kas kuvveti, dayanıklılık, sürat ve el becerisi gibi parametreler; hem basket atma, pas atma, fırlatma ve tekerlekli sandalyenin itilmesi gibi spora özgü aktiviteleri yerine getirmede, hem de tekerlekli sandalyeyi kontrol etmede kritik önem arz eder. Tekerlekli sandalye oyuncularının fiziksel durum değerlendirmesinde, tekerlekli sandalye kullanımını ve itişini doğrudan etkilemesinden dolayı üst ekstremite kuvveti ve gücü önemlidir. Kas dengesi bir kas veya kas grubuyla bunu karşılayan, ters yönde hareket sağlayan kas veya kas grubuyla ilişkilidir. Sporcunun maksimal kuvvetini kullanabilmesi ve en uygun düzeyde performansa dönüştürebilmesi için belirli bir kas dengesine ihtiyaç vardır. Bugün pek çok spor branşında, kuvvet çalınmalarının daha fazla uygulanması suretiyle kuvvetin daha fazla geliştirilmesi istenmektedir. Kas kuvvetinin artışı, iyi planlanmış ve organize edilmiş antrenmanların içeriğine bağlıdır. Newton’ un ikinci aksiyonuna göre ivmelenme kuvvetin büyüklüğüyle pozitif ilişkiye sahiptir. Bu ilişki kuvvet antrenmanları ile sürat özelliğinin geliştirilebileceği konusuna ışık tutmaktadır. Bunun nedeni olarak, tekerlekli sandalye basketbolunda sporcuların hızlı bir şekilde hareket etmesine engel olan dış faktörlerden en önemlisi tekerlekli sandalyenin zemin ile arasındaki friksiyonudur. Güç ortaya çıkarma becerisi açısından tekerlekli sandalye basketbolu, koşan basketbolculardan (engelli olmayan) ayıran en belirgin özellik, sporcunun kendi ağırlığına ilave olarak tekerlekli sandalyenin ağırlığı ile yerçekimine ve zemindeki friksiyona karşı verdiği mücadeledir.
THE EFFECT OF WORKING FROM HOME ON JOB SKILLS IN THE CONTEXT OF WORK-FAMILY CONFLICT: THE REFLECTION FACE OF COVID-19
Authors: Naktiyok Serkan , Zengin Yunus
Published: September 2024

The main objective of the study is to address the problems faced by the workers working from home during the COVID-19 pandemic process due to their roles and the mediation status of the individual's work skills level in solving these problems. In this study, in which 450 employees working in the call center were selected as a sample by using a simple random method and questionnaire technique, data were obtained from 254 people. A structural equation model was used to determine the level of statistical significance between the variables in the study and the AMOS program was used. Thus, the validity of the model, the level of influence and relationship between the variables, and the goodness of fit statistics were discussed within the framework of the stated hypotheses. According to the results of the analysis, it has been observed that working from home had a 49% effect on job crafting, while work-family conflict played a partial mediating role (47.2%) in this effect. It is also another result that there is a positive relationship (r= ,357**) between job crafting and work-family conflict.
意義取向的立體學習──芬蘭現象為本學習：政策、理論、轉化及實踐
Authors: 陳玟樺 陳玟樺
Published: September 2024

本書是一深入探討芬蘭教育改革的學術著作。觀照本土教育場域、探索可作為教育問題的多元解方，來為改善未來的境遇服務，作者挾帶本土課室師生教學的敏覺性，深入探討近幾年對芬蘭2016年課綱中小學師生課室經驗觀察，也為本土相對較有缺乏的芬蘭教育微觀層面研究做出補充。

本書以作者2019年的博士論文為基礎，並結合作者近年來的相關研究。全書共分六篇十章，從導論、政策、理論、轉化實踐及本土連結等多方面，系統地闡述了芬蘭現象為本學習的整體框架。書中不僅對芬蘭教育制度和課程改革歷史進行詳盡的分析，亦深入探討現象為本學習的理論基礎、實踐經驗及對於臺灣未來教育的思考。

本書為教育學者、在職（職前）教師及關心教育改革的讀者提供了寶貴的第一手資料。透過本書，將可一探現象為本學習在教育改革中的潛力和相關重要議題，共思本土108課綱於國際上的相近優勢，且共構對於未來教育的想像。

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吳思華　國立政治大學科管智財研究所講座教授、前國立政治大學校長、前教育部長

本書拓展本土教育視窗，作者長期深入探討芬蘭教育創新經驗的貢獻，對本土教學實務和政策制定甚有參考意義。

劉美慧　 國立臺灣師範大學教育學系特聘教授兼教務長

本書從本土教育觀點出發，自芬蘭課室、後臺反思、再與本土教育串聯，論述中展現不卑不亢的敘事與跨文化研究態度。
Pauline Lord’s “My Anna Christie” a Century Later
Authors: Johnson Katie N.
Published: September 2024

Pauline Lord’s article “My Anna Christie” (1922) was an important intervention in the discourse regarding Progressive Era brothel dramas. Describing how she researched and originated the title role in “Anna Christie,” Lord’s article was also one of the few pieces about the play written by a woman during this time period. When the piece appeared, contexts for understanding “Anna Christie” had shifted: whereas previous prostitute plays had been censored for obscenity, Eugene O’Neill’s “Anna Christie” garnered the Pulitzer Prize for Drama. “My Anna Christie” followed in the wake of two pioneering actresses who portrayed courtesans or sex workers and wrote about it: Mrs. Leslie Carter and Mary Shaw. “My Anna Christie” examines sexual exploitation, abandonment, and double standards of sexuality, conjuring sympathy for Anna’s character. More significantly, Lord interviewed prostitutes as part of her research. Rather than sensationalizing or denigrating sex workers as “The Social Evil,” Lord sought to understand them.
“My Anna Christie” a Century Later: Speaking Oneself into Existence as Anna and as Actor
Authors: Brannen-Jurgenson Adrian Deane
Published: September 2024

In this article, the author writes from her perspective as an actor, in particular about her performance of the title character in Eugene O’Neill’s “Anna Christie” (1921) with the Eugene O’Neill Foundation in Danville in 2023. She speaks in conversation with Pauline Lord, the first actor to portray Anna Christopherson, and specifically explores the question of what it means to love a character. She argues that to love requires a committment to feeling (living with the character) the struggle (the anger, pain, and shame) of what there could be to hate in the character and therefore ourselves. She argues that such a committment begins necessarily when the character is (when we are) brave enough to declare herself and have her say.
Global Conquests, Global Infidels: The Junta of Burgos (1512) Seen Through Integrated Mediterranean and Atlantic Contexts
Authors: Devereux Andrew W.
Published: September 2024

Traditional scholarship has been marked by a sharp division between historians working on two apparently discrete maritime systems in the early modern era—the Mediterranean and the Atlantic. In recent years, though, scholars have begun to recognize the extent to which these spheres were in fact imbricated, in the movement of peoples and commodities as well as in the intangibles of ideology and legal doctrines, some of which had very concrete effects on the lives and status of millions of individuals. This article examines several legal questions pertaining to the status of recently conquered peoples by bringing together sources that address the legal status of new subjects of the Spanish monarchy, including the Laws of Burgos (1512), the Amendments of Valladolid (1513), along with several treatises by jurist Juan López de Palacios Rubios, theologian Matías de Paz, and Bartolomé de las Casas. This microhistorical analysis of the questions examined at the Junta of Burgos sheds light on the ways in which our understanding of the legal doctrines of empire is immensely enriched and clarified when we integrate the Mediterranean and Atlantic angles of early modern Spanish commitments.
Japanese Acrobats as Athletes on the Victorian Stage: The Victorian Reception of Japanese Acrobatic Troupes, 1867–70
Authors: Kadis Alexandra
Published: September 2024

This article positions Japanese acrobats as athletes—rather than just performers—in the context of the rise of sports and athletic competitions in England, arguing that displays of Japanese athleticism onstage complicated Victorians’ sense of superiority over non-Western peoples. As the first Japanese people with whom many Britons at home had close encounters, Japanese acrobatic troupes shaped Victorian perceptions of Japan. This survey of Victorian periodicals unpacks how the Victorian reception of Japanese acrobatic troupes in the late 1860s refracted British beliefs about themselves in relation to the Japanese people.
Anthropocentrism and Inheritance in Our Mutual Friend: Return, Recognition, Reanimation
Authors: Braun Gretchen
Published: September 2024

In decentering “Man,” a category long rhetorically constructed as the privileged species of a divine creator, Charles Darwin’s theory of natural selection necessitated a reexamination of how human subjectivity should be represented in fiction. This article uses the example of Charles Dickens’s Our Mutual Friend (1864) to track and scientifically contextualize how anthropocentrism is constructed and interrogated in fiction after publication of On the Origin of Species (1859). Competing nineteenth-century theories of species transmutation recognized physiological fluidity and variation within species and type, yet unlike Darwin, they sought to define uniquely human qualities of mind. Literary narratives, such as Dickens’s final completed novel, engaged this intellectual project—attempting to stabilize a dominant form of human subjectivity while recognizing shifting varieties of being. Protagonist John Harmon is oddly vacant as an imagined human consciousness; his actions create or resolve conflict within the story, but he fails to demonstrate any stable motivation. Depicting the initial misrecognition, and eventual recognition, of an English heir newly returned from abroad, Our Mutual Friend articulates cultural anxieties about the potential mutability of identity and type and the origins and durability of English dominance. Its post-Darwinian model of consciousness challenges traditional realist valorization of the individualistic, agential subject.
TATARNESS REIMAGINED: LANGUAGE, MEMORY, AND IDENTITY IN POST-CIVIL WAR TAJIKISTAN
Authors:   Chuo Gakuin University, SAKURAMA-NAKAMURA Mizuki
Published: September 2024

This paper examines the transformation of ethnic identity among the Tatar community in Tajikistan in the wake of the Tajik Civil War. Drawing on in-depth interviews, it analyses how the war and subsequent dispersion and migration have reconfigured Tatar ethnic ties and fostered the emergence of a hybrid identity. The findings reveal a complex process of identity formation, where the loss of homeland and language intertwines with the development of a Tajikistani national identity and the experience of differentiation through labour migration. The paper argues that the Tatar community’s self-definition as ‘Tatar of Tajikistan’ epitomises the resilience of people navigating multiple contexts and transcending conventional categories of ethnicity and migration. It offers insights into the dynamics of identity politics amidst post-socialist transition and war.
Evaluation of an E-Learning Training Package by Nurses of Various Designations for Developing Clinical Skills and Knowledge
Authors: Narayan Nitasha A , Clark-Burg Karen , Bate Frank
Published: September 2024

Education helps nurses maintain, improve and broaden their professional knowledge to meet their obligations to provide ethical, safe and competent care. Globally, electronic learning (e-learning) has emerged in the last decade as a flexible mechanism to provide education for nurses. However, not enough is known about how nurses view e-learning as continuing education and whether the skills and knowledge gained are transferable to daily practice. A descriptive correlational design applying a non-experimental quantitative approach was employed to evaluate an e-learning training package used by nurses of various designations for developing clinical skills and knowledge at a private hospital in Perth, Western Australia. Data were collected via a survey method over 3 years. Findings suggest an e-learning training package effectiveness is mainly dependent on the implementation process, the way learning is packaged and sequenced, and the instructional design of the package. When the e-learning training package uses materials participants can apply with patients in the clinical setting, there is higher active engagement and application of content to practice. This study’s findings reveal more flexible implementation approaches might be considered in the future, including blended learning.
Gender Differential Prevalence of Overweight and Obesity, Hypertension and Diabetes in South India: A Population-Based Cross-Sectional Study
Authors: Sundaresan Mohanraj , Velmurugan Ganesan , Dhivakar Mani , Ramakrishnan Arulraj , Cherian Mathew , Alexander Thomas , Swaminathan Krishnan
Published: September 2024

Background: India is facing triple epidemic of Non communicable diseases (NCDs) including high body mass index (BMI), high blood pressure and high blood glucose, contributing to more than half of deaths of all mortality, however, information in different demographics is limited, especially, in India. The aim of the study is to compare the prevalence of overweight, obesity, hypertension, and diabetes, along with the occurrence of multi-morbidity, across gender-specific populations in rural, suburban, and urban regions of India.
Methods: This was a cross-sectional, population-based study including adults aged 20 and above in rural, suburban, and urban areas near Coimbatore, India. All participants were interviewed using a detailed questionnaire and had their anthropometric measurements, including height, weight, blood pressure, and blood samples collected. Gender specific and location specific prevalence of overweight, obesity, hypertension, diabetes, and multimorbidity were assessed.
Results: This study included 2976 individuals, of which 865 were from rural areas, 1030 from sub-urban areas, and 1081 from metropolitan areas. The mean systolic and diastolic blood pressure were higher in rural participants than in sub-urban and urban participants, despite the fact that the prevalence of hypertension was higher in sub-urban (47.1%) than in rural (36.4%) and urban (39.7%, p < 0.001). In sub-group analysis, sub-urban areas had a greater prevalence of hypertension in both men and women (53.5% and 41.7%, p < 0.001) than rural areas (41.9% and 31.3%, p = 0.001) or urban areas (45.9% and 35.5%, p < 0.001). Compared to rural (16.1%) and urban (23%), sub-urban areas had a greater prevalence of diabetes (25.8%, p < 0.001). Urban residents (47.5%) had higher rates of overweight and obesity than rural (31.4%) and sub-urban (34.1%, p < 0.001) residents. The association between diabetes and hypertension was present in the unadjusted model and persisted even after age and BMI adjustments. Though not in men, higher levels of education were associated to a higher prevalence of diabetes in women. Diabetes was associated to being overweight or obese in women, however this association was significantly reduced once BMI was taken into account. The overall multimorbidity was 3.8%, however, women had a higher overlapping prevalence (2.8%) compared to men (1%, p < 0.001).
Conclusions: Diabetes and hypertension were prevalent comorbidities across all demographics, with higher rates in suburban and urban areas. Women exhibited higher rates of multimorbidity than men, regardless of the demographic area.
Revolutionising classrooms with AI: Educators' insights on transformative opportunities and challenges
Authors: Van den Berg Geesje
Published: September 2024

This paper examines the transformation opportunities of AI in education, focusing on its benefits and challenges from the perspectives of educators. The research methodology involves a qualitative study with practising educators who were students enrolled in a master's program in education at an open distance education university in South Africa. Data collection is conducted through an online discussion forum. The paper concludes that while AI offers exciting transformative opportunities such as personalised learning and effective education, it should be used wisely, complementing traditional teaching methods. It emphasises addressing biases, overuse, plagiarism, and data privacy issues. The study emphasises the need for more information on educator’s use and perceptions to pave the way for AI to complement educators and, in so doing, benefit all educators and students equally.
Human experts and Generative AI interaction: From real-world and real-life language learning diary-research app to a diary-learning app
Authors: Ezra Orit , Cohen Anat , Shany Dror
Published: September 2024

Generative AI (GenAI) could be beneficial for instructional designers, expediting the design of educational mobile apps. One needed app, currently absent, is a digital diary for second and foreign-language learners to record their outside-classroom activities. Given the research and learning merits of keeping such diaries, a diary-research app (Langy) was previously developed to measure learners’ real-life (RL) and real-world (RW) language learning. This study aims to provide design guidelines to transform this app into a learning app based on the interaction with ChatGPT during this design process and examine the human-machine interaction. The prompt submitted to ChatGPT4 described the diary-research app and asked for suggestions on how to transform it into a diary-learning app. ChatGPT produced 14 suggestions, upon which the researchers deliberated. The mutually created design suggestions emerging from this reciprocal interaction provide a blueprint for the new diary-learning app, adding a new purpose of promoting RL and RW learning (in addition to measuring) and relevant features such as goal settings, gaming rewards, and reflective prompts. Three processes were revealed during the complementary human-machine interaction: 1. ChatGPT’s offered generic suggestions, which the researchers adapted to more specific app requirements. 2. The researchers linked between the ChatGPT’s suggestions and added theoretical grounds. 3. The researchers, in some cases, altered or completely negated the ChatGPT’s suggestions. This study contributes to the research field of language-learning diaries. Moreover, it contributes to our understanding of how GenAI can be used as an instructional designer to assist in the design of educational mobile apps.
Integrating Artificial Intelligence in Vocational and Adult Education: A Supplement to the DigCompEdu Framework
Authors: Bekiaridis George , Attwell Graham
Published: September 2024

The AI Pioneers project, funded by the European Union, represents a significant initiative aimed at integrating Artificial Intelligence (AI) into the landscape of adult education and Vocational Education and Training (VET). Through a comprehensive methodology comprising of literature reviews, surveys, and interviews conducted with a wide range of educators and stakeholders, the project has identified key AI competencies that are essential for educators. These competencies align with the six areas of the DigCompEdu framework, including Professional Engagement, Digital Resources, Teaching and Learning, Assessment, Empowering Learners, and Facilitating Learners’ Digital Competence.
The AI Pioneers project’s main findings highlight the need for educators to develop skills in data literacy, computational thinking, ethical considerations of AI use, and the integration of AI tools into educational practices. By supplementing the DigCompEdu framework with AI-specific competencies, the project contributes to the continuing professional development of teachers and trainers, ensuring they are well-prepared for the the challenges and opportunities presented by AI in education. This initiative not only enhances educators' digital competencies but also plays a crucial role in preparing students for a future where AI is ubiquitous, thereby shaping the future of educational practices and outcomes.
The Predictive Power of Teaching Approaches: Unveiling Keys to Enhanced Students' Motivation and Workload in Blended Learning
Authors: Radovan Marko , Meden Ema , Radovan Danijela Makovec
Published: September 2024

This research explores the transformative impact of blended learning on motivation and workload in Vocational Education and Training (VET) settings. As part of the BlendVET project, it investigates how diverse teaching approaches influence student outcomes. Drawing from an online survey of 106 students across seven VET programs, the study reveals that collaborative learning enhances engagement and satisfaction, while technology integration enriches the learning experience. Despite benefits, challenges such as perceived workload increase are acknowledged. Key findings underscore the critical role of assessment and feedback in enhancing student satisfaction and perceived competence. The study advocates for strengthening collaborative learning through diversity support and technological integration, alongside refining assessment and feedback processes. It calls for proactive measures to foster engagement and alleviate stress, urging stakeholders to embrace change for a future where every student can thrive.
Should Universities partner with NGOs? A Case Study of a University of Technology and a Coding School for Refugees
Authors: Wolf Daniela , Ebner Martin
Published: September 2024

This paper explores the advantages of a University-NGO Partnership between the Faculty of Informatics at Vienna University of Technology (TU Vienna) and the NGO „refugees{code}―, a coding school for refugees in Vienna, Austria. The goal of this collaboration is twofold: Firstly, to help students apply coding skills practically and enhance their proficiency through teaching experiences with underrepresented groups; and secondly, to provide refugees with meaningful activities that match their profession, education, and personal interests, which might have been interrupted in their home countries. The study evaluates the perspectives of the stakeholders involved. To do so, written surveys and interviews with computer science students, refugees and team members of the NGO were conducted. The results indicate that meaningful educational benefits for computer science students can be created within such partnerships, such as enhanced teaching abilities, dispelled prejudices, insights into the factors affecting refugees' educational and career trajectories, as well as improved communication and empathy skills. However, challenges for such partnerships also exist, including giving student teachers more time for meetings and discussions, empowering them to make decisions, providing access to counseling psychologists and interpreters, and offering support in managing participants' expectations. The findings shed light on the potential benefits from participating in campus-community partnerships and suggest several measures to improve them, such as providing additional ECTS credits, intensifying promotional activities to encourage greater student participation, providing alumni support, and issuing official certificates.