bluuebunny/crossref_metadata_2025 huggingface dataset:
Design Thinking e metodologias ativas no ensino de ciências: um estudo de caso com graduandos em nanotecnologia
Authors: Rocha Lizandra Viana Maurat da , Vieira Filipe Oliveira , Brito Lennon Luiz Corrêa de , Thorley Vitória Peres , Romano Kássia Alves , Spina Liz , Pessôa Maria Clara Silva
Published: May 2024

Este estudo de caso examina os resultados derivados da aplicação do design thinking e de metodologias ativas no ensino de Nanotecnologia para alunos de bacharelado, ao longo de um semestre letivo. Os objetivos primordiais foram envolver os alunos na resolução de problemas reais, estimular sua criatividade e aprimorar suas habilidades na busca, seleção, integração e redação de dados, com ênfase na preparação e compreensão holística dos conceitos relacionados ao desenvolvimento, caracterização e estudo transversal de nanopartículas e nanocompósitos poliméricos sustentáveis. Para atingir tais objetivos, empregou-se uma variedade de métodos, incluindo a autoavaliação, questionários para diagnóstico inicial, revisão e avaliação formativa, além de prototipação. Os nanomateriais fabricados pelos alunos em laboratório foram cuidadosamente estudados, com os resultados experimentais sendo analisados e discutidos de maneira contínua e dinâmica, o que propiciou um maior engajamento e uma compreensão mais profunda dos conceitos abordados. Este estudo ressalta a importância da busca por abordagens educacionais centradas no estudante, tornando-o protagonista do processo de uma aprendizagem mais significativa, em que as novas ideias se entrelaçam com o entendimento prévio do estudante e podem assim ser consolidadas de forma mais plena. Além disso, destaca-se a relevância do desenvolvimento dos aspectos psicopedagógicos específicos desta área de ensino, com o intuito de formar pesquisadores e cientistas competentes e conscientes de seu papel na sociedade, bem como profissionais da ciência e tecnologia. Em síntese, este estudo evidencia que a integração do design thinking e de metodologias ativas no ensino de Nanotecnologia não apenas estimula um maior engajamento dos alunos, mas também fomenta uma compreensão mais profunda e abrangente dos conceitos, contribuindo para a formação de profissionais mais capacitados e conscientes de suas capacidades e responsabilidade social e científica.
Biblioteca Eva Mills e a formação de leitores no interior do Maranhão (1957 – 1969)
Authors: Mendes Elizânia Sousa do Nascimento , Lima Regina Célia Costa
Published: May 2024

O texto apresenta reflexões sobre práticas de leitura no interior da Escola Normal Regional Maranata a partir de vestígios da biblioteca Eva Mills. Tanto a Escola Normal quanto a biblioteca funcionavam no interior do Internato Maranata, instituição que atuou no campo educacional maranhense entre 1952 a 1970 como parte de um projeto evangelístico-educacional promovido pela agência missionária inglesa, Unevangelized Fields Mission, em parceria com prosélitos nacionais. À título de introdução, situa-se a atividade educacional protestante da UFM na esteira dos protestantismos que foram se constituindo por meio do impresso e da leitura. O diálogo com a história cultural é apresentado como subsídio teórico-metodológico sobre o qual se constitui a reflexão, cuja operação investigativa contempla, além de documentos escritos, o remanescente de 622 títulos que pertenceram àquela biblioteca. Por meio de tais indícios, procura-se estabelecer proposições sobre a constituição da referida biblioteca, bem como identificar as conexões entre seu acervo e a política nacional de impressos para a formação de professores primários à época. Observa-se que a constituição do acervo pode ser situada em uma rede de conexões transnacionais e que a observação de vestígios inscritos em contracapas e folhas de rosto guardam registros de práticas e relações que ultrapassam o objetivado pelo conteúdo impresso. Sobre a política de formação de professores que os vestígios fazem emergir, estabeleceu-se a possibilidade de pouco acionamento da biblioteca “COLTED” fornecida via política educacional do Estado Brasileiro. À guisa de conclusão, o estudo apresenta a formação da biblioteca Eva Mills dentro de um projeto educacional proselitista para a formação de leitores do texto bíblico, apontando para a ampla rede de conexões e de informações que os vestígios das bibliotecas escolares podem oferecer.
Analysis of Emergency Protection and Evacuation Strategies for Disabled People in the Noto Earthquake in Japan
Authors: Xie Xuejiao
Published: May 2024

This article takes the Noto earthquake in Japan as the background, studies the emergency protection and evacuation strategies for disabled people during earthquakes, analyzes the characteristics of the Noto earthquake, including the basic information such as the time, location, and magnitude of the disaster, as well as the particularities of the disabled group in terms of physical, psychological, and economic aspects. The article discusses the existing problems, such as incomplete infrastructure, poor information transmission, and insufficient social support, and proposes optimization countermeasures, including improving infrastructure, strengthening information transmission, and increasing social support. This article aims to provide useful references and guidance for the emergency protection and evacuation of disabled people in earthquakes.
Research and Design of STM32 and Qt based Medical Smart Cockpit Convenient Medical Care System
Authors: Li Chen , Hou Zhesheng , Wang Yu , Zhang Xin
Published: May 2024

In order to simplify the process of patients' medical treatment and realise contactless and efficient medical treatment in the post-epidemic era, a convenient medical treatment system oriented to medical smart cockpit is designed to facilitate patients' medical treatment. The system is based on STM32F103RCT6 as the main controller chip, and the peripheral circuit consists of MAX30102 sensor, DS18B20 sensor, and Bluetooth module, which can realise the transmission of basic physiological data collected from patients to the doctor's end. The system uses Qt Creator to design the application interface, and eventually the patient can complete the relevant medical process in the cockpit. This design reduces the contact between the patient and the healthcare personnel and improves the efficiency of hospital visits.
Review of the Antimicrobial Properties of Rosemary Extract for Preservative Functions
Authors: Zhang Shunyuan , Wang Yong , Fan Huajun Shawn , Li Rong
Published: May 2024

Rosemary extract has physiological activities such as anti-cancer, anti-viral, anti-inflammatory, antiseptic, antibacterial and antioxidant, and has great economic and research value. The extraction methods of rosemary extract include solvent extraction and supercritical fluid extraction. Its purification methods include crystallization, solvent extraction, and macroporous resin adsorption. This article focuses on the analysis of rosemary extract, which mainly includes the key research results both at home and abroad in terms of its antibacterial and antiseptic, biological functions and extraction, purification and antiseptic mechanisms. The purpose of the study is to promote the application of rosemary extract in antibacterial and antiseptic and provide a theoretical basis.
The Role of Exosomes in The Pathogenesis of Parkinson's Disease and Potential Therapeutic Strategies
Authors: Wen Shaowen
Published: May 2024

The pathogenesis of Parkinson's disease (PD), the second most prevalent neurodegenerative disorder after Alzheimer's disease, continues to be a focal point of research within the medical community. In recent years, advancements in exosome research have revealed a significant role of exosomes in the pathogenesis of Parkinson's disease. Exosomes, distinguished by their lipid bilayer membrane, are small vesicles actively secreted by cells. Exosomes play a crucial role not only in modulating the immune response and serving as transporters in inflammatory pathways but also have a substantial impact on tumor initiation, progression, and therapeutic strategies in the field of medicine. In PD, disturbances in exosome functionality can directly influence neuronal health. Research suggests that exosomes in PD patients may experience changes in quantity, composition, and function. These alterations have the potential to cause neuronal damage and death, thus exacerbating the disease progression. This study delves into the role of exosomes in the pathogenesis of PD and explores potential therapeutic approaches.
Subway Tunnel Crack Identification based on YOLOv5
Authors: Mei Chongbin , Wen Yucheng
Published: May 2024

In view of the complex environment in the tunnel and the uneven lighting of the acquisition system, the lining images produced shadows and low contrast, a method of automatic color equalization combined with Laplacian pyramid (LP-ACE algorithm for short) was proposed in this paper. The computational complexity is reduced from the original O(N^4) to O ), which significantly reduces the amount of image computation and greatly improves the working efficiency. Due to the problems such as short time to identify skylights for cracks in key areas of subway tunnel, slow efficiency of manual method, inaccurate and difficult identification, an improved algorithm for key areas of power plant based on YOLO v5 was proposed: SD-YOLO. Ghost module is used to replace the traditional convolutional module to reduce the model parameters and improve the detection accuracy. The feature learning and feature extraction of crack region images are enhanced by the fusion of CBAM focus mechanism modules, while the influence of background on detection results is weakened. The bidirectional feature pyramid network is used for multi-scale feature fusion to reduce redundant calculation and improve the ability of the algorithm to detect small targets. The SD-YOLO algorithm proposed in this paper performs well in real samples, with an average accuracy of 93.1%, 11.3 percentage points higher than the original model, and significantly reduced parameters compared with the original model. Compared with YOLOv5s under the condition of reducing parameters, the model reasoning speed and detection accuracy are significantly improved by the proposed method, which can be effectively applied to tunnel detection.
Establishment and Verification of a Method for Detecting Trypsin Residues
Authors: Jiang Baoqin , Wang Kai , Feng Dejie , Liu Chenming
Published: May 2024

Establish a detection method for residual trypsin and validate the method. Using enzyme-linked immunosorbent assay (ELISA) to detect residual trypsin in the single virus harvest solution and stock solution of oral trivalent reconstituted rotavirus attenuated live vaccine (Vero cells) (hereinafter referred to as trivalent rotavirus vaccine). At the same time, according to the requirements of Part 9101 of the Chinese Pharmacopoeia (2020 edition), the specificity, accuracy, repeatability, intermediate precision, linearity, durability, quantification limit and other indicators of the method are evaluated. The specificity verification results show that the recovery rates of recombinant trypsin standards at each concentration level are within the range of 70% to 125%, and the impact of MEM on the recovery rates of standards can be ignored. The accuracy verification results show that the recovery rates of the three concentrations of high, medium, and low (5ng/mL, 2.5ng/mL, 1.25ng/mL) diluted standard samples are all between 70% and 125%. The repeatability verification results showed that the relative standard deviation (RSD) of the six measurements of the trivalent rotavirus vaccine stock solution and the single virus harvest solution were both less than 15%. The intermediate precision validation results showed that the relative standard deviation (RSD) of the six measurements conducted by the two researchers on the trivalent rotavirus vaccine stock solution and the single virus harvest solution were both less than 15%. The standard curve plotted by the Logistic five parameter fitting curve calculation method based on the results of three freeze-drying standard sample tests for linear validation has a correlation coefficient R2 greater than 0.98. The durability validation results showed that there was no significant difference (P>0.05) between the three enzyme-linked immunosorbent assay (ELISA) results under 36℃ and 38℃ conditions and those under 37℃ conditions. The quantitative limit validation results show that after diluting the freeze-dried standard to the theoretical minimum value, the bottom limit value that is closest to the theoretical value and has the highest recovery rate is 0.312ng/mL. The enzyme-linked immunosorbent assay (ELISA) is suitable for the determination of residual trypsin in the single virus harvest solution and stock solution of trivalent rotavirus vaccines.
Progress in the Study of the Cariogenic Effect of Epigallocatechin Gallate
Authors: Wu Jieli , Zhang Jing , Peng Wei , Lu Siqi , Wang Kangjing
Published: May 2024

Epigallocatechin gallate (EGCG), a compound rich in tea, has long been recognized for its diverse biological activities, including its remarkable antioxidant, anti-inflammatory, antibacterial, and anti-tumor properties. However, recent research has uncovered a new, promising application of EGCG: its role in the prevention of dental caries. This paper aims to comprehensively review the mechanisms underlying EGCG's involvement in caries development and progression, focusing on three key areas: its regulation of matrix metalloproteinases (MMPs), its inhibitory effects on Streptococcus mutans, and its promotion of dentin and enamel remineralization. Matrix metalloproteinases (MMPs) are a family of enzymes that play a crucial role in the degradation of extracellular matrix components. In the context of caries, MMPs are involved in the breakdown of tooth structure, facilitating the progression of the disease. EGCG has been shown to regulate MMP activity, thus potentially slowing down the destructive process associated with caries. By inhibiting MMPs, EGCG could help maintain the integrity of tooth structure and prevent further damage. Another significant aspect of EGCG's caries-preventive action is its inhibitory effect on Streptococcus mutans, a bacterium that plays a key role in caries development. S. mutans produces acids that erode tooth enamel, leading to caries formation. EGCG has been found to inhibit the growth of S. mutans and reduce its acid production, thereby reducing the risk of caries development. Lastly, EGCG promotes the remineralization of dentin and enamel. Remineralization is the process of depositing calcium and phosphate ions back into tooth structure, helping to repair damage caused by caries. EGCG has been shown to enhance this process, potentially leading to the reversal of early caries lesions and the restoration of tooth health.
Intelligent Service of College Library based on the Demand of Compound Talents Training Path Analysis
Authors: Song Han , Gan Luying , Sha Yue
Published: May 2024

Cultivating talents is a major plan for the long-term development of the country and the nation, the new era, the country and society put forward higher requirements for college and university students, college libraries as a culture of education, moral education, as an important position, shoulder with an important mission. This paper uses the new concept of General Secretary Xi Jinping on the work of talents in the new era as a guide, and takes the demand of compound talent cultivation as the orientation. Analyze the shortcomings of intelligent services in university libraries in western border areas such as Yunnan, and explore feasible solutions for improving and optimizing library intelligent services, in order to enhance the efficiency of intelligent services and expand service capabilities of university libraries in the region, thereby promoting the improvement of talent cultivation quality in universities.
Study on the Stable Water and Sediment Parameters in the Middle Reaches of Fenhe River
Authors: Li Guodong , Bai Wenju , Guo Zhen , Tian Peng
Published: May 2024

River evolution is related to the life and economic security of the surrounding people. At present, there is no unified standard for river evolution, and the law of river resistance can well reveal the process of river morphology change. Therefore, this paper takes the middle reaches of Fenhe River as the research object, and studies the water and sediment conditions to maintain the stability of the river based on the river resistance, so as to provide reference for the management of other rivers in China. In this paper, an expression of resistance coefficient considering sediment inflow and sediment incipient velocity is proposed and verified. The results show that the resistance coefficient expression can be used to divide the river type in the middle reaches of the Fenhe River, and the division results are consistent with the actual situation. According to the water and sediment conditions, the river state is divided, and the new situation of no sediment in the incoming water is proposed. Under the new situation, the river will maintain a single state for a long time, which is conducive to the stability of the river type.
The Feasibility Study of Carotid Artery Stent Implantation Surgery Simulation based on CFD Technology
Authors: Song Yanhan , Wang Xue , Meng Yikai , Lin Xin , Zhang Xinyue , Liang Xinyu , Zhu Na , Zhu Hongfei , Yu Guo , Sun Wendi , Wang Liya , Wu Jianhui
Published: May 2024

Carotid artery stenting (CAS) is an emerging endovascular intervention technique that has the potential to reduce the risk of stroke; however, it may be associated with a variety of complications postoperatively. Consequently, it is imperative to identify risk factors prior to CAS preoperative. Computational Fluid Dynamics (CFD) simulation uses numerical calculation methods to simulate and analyze the physical phenomena of blood flow. This research leverages a carotid ultrasound database to construct 3D models and conducts stent implantation simulations at sites of carotid stenosis to predict postoperative recovery outcomes. By providing more comprehensive and accurate information as feasibly as possible, the aim is to assist physicians in optimizing surgical plans, enhancing the success rate of surgeries, minimizing operative risks and ultimately delivering superior therapeutic results to patients.
Progressions in Agriculture and Farming Practices: Indispensable in leading to Up-gradations of Rural Communities
Authors:   Pedagogy and Organizational Culture in Nursery Schools, Delhi University, New Delhi, India., Kapur Dr. Radhika
Published: May 2024

Within rural communities, individuals are contributing efficiently in promoting better livelihoods opportunities. The participation of the individuals in agriculture and farming practices is regarded as one of the primary occupations of the individuals, belonging to rural communities. The agricultural labourers and farmers are making use of traditional methods and procedures in doing their jobs. Furthermore, there are agricultural labourers and farmers who are making use of modern, scientific and innovative methods and procedures. These are regarded as essential in leading to an increase in productivity and profitability. Furthermore, it is vital for individuals to hone their competencies, abilities and aptitude. They need to generate information in terms of various factors, which are facilitating in generating desired outcomes. These include, marketing strategies, labour market factors, customer demands and so forth. As a consequence of being well-aware in terms of all these factors, individuals will be well-prepared in carrying out all types of tasks and activities in an adequate manner. In this manner, they will contribute efficiently in leading to up-gradations of overall living conditions. Therefore, it is well understood, progressions in agriculture and farming practices are indispensable in leading to up-gradations of rural communities. The main concepts that are taken into account in this research paper are, understanding the importance of progressions in agriculture and farming practices; measures to be implemented in leading to progressions in agriculture and farming practices and measures to be implemented in improving conditions of agricultural labourers and farmers.
Valorisation of Wool Waste and Chicken Feathers for Medical Textile Applications
Authors:   Department of Fibres and Textile Processing Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Matunga, Mumbai (Maharashtra), India., Panhalkar Mr. Sumit , Tari Shriyasha ,   Department of Fibres and Textile Processing Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Matunga, Mumbai (Maharashtra), India., Athalye Dr. Ashok ,   Department of Fibres and Textile Processing Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Matunga, Mumbai (Maharashtra), India.
Published: May 2024

Waste valorisation is the key to waste minimization. Chicken feathers and wool fabric waste are rich in protein content. Keratin forms a major part of these two materials. However, these keratin rich material are often discarded and finally end up as waste in landfills or incinerated. This research aims to upcycle woolen waste and chicken feathers by selectively extracting keratin from them. This study reports the development of a wound-healing nanofibre patch derived from non-conventional keratin sources like waste wool and chicken feathers. It aims to repurpose these abundant and underutilised materials, taking advantage of their high crude protein content. A three-step process for developing wound healing material is reported: cleaning waste wool and chicken feathers and extracting keratin to make electrospun nanofibre patch. The electrospun keratin patch is incorporated with honey, a natural antiseptic agent for producing desired wound healing properties. The extraction of keratin is initially tested qualitatively using Biuret test. The Scanning Electron Microscopy (SEM) images confirm the successful electrospinning of keratin nanofibres, demonstrating a well-defined and uniform fibrous surface morphology. The FT-IR spectrum confirms the presence of functional groups associated with keratin. Furthermore, the antimicrobial study shows promising results, indicating that the protein-based nanofiber patch supports cell growth activity. These findings suggest that the keratin-based nanofiber patch derived from waste wool and chicken feathers has the potential to facilitate the regeneration of damaged tissue and can aid in the wound-healing process. The findings of these study confirms possible extraction of keratin from wool waste and chicken feathers and its application in medical textile applications.
Robust Financial Market Share Prediction using Intuitionistic Possibility Fermatean Neutrosophic Soft Set
Authors:   Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia, Mohammed Mohammed ,   Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia, Ragab Mahmoud
Published: May 2024

An addition of soft set theory, Neutrosophic soft set theory offers a versatile framework for handling indeterminacy and uncertainty in data. Using this theory for the prediction of market share includes representing market data in a neutrosophic soft-set format, where elements pose truth, indeterminacy, and false degrees. The predictive model is constructed to estimate future market shares with consideration for ambiguity and uncertainty by analyzing previous market factors and trends affecting market dynamics within these frameworks. The stock market prediction pattern is interpreted as a significant action and it is more beneficial. Therefore, stock prices will result in substantial profits from sound taking choices. Thus, stock market forecasting is a main task for investors to spend their money to create maximum profit due to the noisy and stagnant data. Stock market prediction uses learning tools and mathematical strategies. Therefore, this manuscript offers the design of Financial Market Share Prediction using the Intuitionistic Possibility Fermatean Neutrosophic Soft Set (FMSP-IPFNS) technique. In the FMSP-IPFNS technique, a three-stage approach is followed. Firstly, the data normalization process is executed using a min-max scalar approach. Secondly, the prediction process can be carried out using the IPFNS approach. Thirdly, the parameter adjustment of the IPFNS approach takes place using the grasshopper optimization algorithm (GOA). To validate the performance of the FMSP-IPFNS system, a sequence of experimentations were tested. The obtained values demonstrate the promising results of the FMSP-IPFNS system compared to other models
COPRAS Neutrosophic Approach with Big Data Analytics for Enhancing Multi-Dimensional Customer Churn Prediction on Corporate Performance Assessment
Authors:   Accounting Program, Applied College at Muhyle, King Khalid University, Kingdom of Saudi Arabia, Adam Adam
Published: May 2024

A neutrosophic set (NS) is a new computing technology that accesses ambiguous data through three memberships. A soft expert set (SES) is based on the concept of a “soft set” with an expert system. Now, this technique has been applied in different domains namely measurement theory, intelligent systems, game theory, probability theory, cybernetics, etc. Customer Churn prediction implies identifying which consumers are expected to cancel a subscription to a service or leave a service. It is a crucial forecast for several businesses because obtaining new users frequently costs more than holding existing ones. The Churn prediction modeling methods try to understand the accurate customer attributes and behaviors that signal the risk and timing of customers leaving. This manuscript offers the design of an AI-based Multi-Dimensional Customer Churn Prediction for Corporate Performance Assessment (AIMD-CCPCPA) technique. The AIMD-CCPCPA technique mainly aims to detect the presence of customer churns and non-churns. It involves a two-stage process. At the initial stage, the AIMD-CCPCPA technique exploits the COPRAS Neutrosophic Method for prediction purposes. Secondly, the AIMD-CCPCPA technique involves parameter selection using a butterfly optimization algorithm (BOA). The experimental analysis of the AIMD-CCPCPA model is examined using a benchmark dataset. The acquired outcomes stated the supremacy of the AIMD-CCPCPA technique equated to other models
Trademark Empowerment using Optimal Neutrosophic Topological Vector Space for Maximizing Customer Attraction
Authors:   Applied Management Program, Applied College at Muhyle, King Khalid University, Saudi Arabia, Alsadig Alsadig
Published: May 2024

Neutrosophic set is introduced as a generalization of intuitionistic fuzzy set, where any elements x ∈ X we have membership (T), non-membership (F), and indeterminacy (I)degrees. Neurosophic vague topological spaces are presented in various notations like neurosophic vague compactness and continuity. Trademarks are the essential components of intellectual property that allow owner to earn profit based on their name. In this industry, retailers typically use feedback channels like customer care service, website review complaints and suggestions boxes to gain user reviews on service satisfaction. But, there is a gap between these techniques. Customers are not fulfilled with them due to lack of trust in management, a lack of flexibility and slow responsiveness. This has prompted examination of the effect of customer feedback channels (CFCs) on client satisfaction and the necessity to develop a new CFC using artificial intelligence (AI). Thus, this study designs a Trademark Empowerment using Optimal Neutrosophic Topological Vector Space (TE-ONTVS) technique for Maximizing Customer Attraction. The intention of the TE-ONTVS technique lies in the prediction of customer behaviour and attraction. To accomplish this, the TE-ONTVS technique undergoes data scaling using Z-score normalization. In addition, the TE-ONTVS technique uses NTVS approach for the identification of customer behaviour and attraction. Lastly, whale optimization algorithm (WOA) is applied for optimal parameter tuning of the NTVS algorithm. A series of experiments were involved to demonstrate the enhanced outcomes of the TE-ONTVS algorithm. The obtained results stated that the TE-ONTVS technique reaches optimal performance over other models
Women in Orthopaedics: 10-Year Trends of Fellowship Match Rate and Subspecialty
Authors: Naclerio Emily , Sekar Molly , Ghattas Yasmine S. , Steinmann Scott , Cannada Lisa K. , Dehghan Niloofar
Published: May 2024

Background:

Orthopaedic surgery has consistently remained one of the least diverse specialties in medicine. There are limited data on the match rate by sex into orthopaedic fellowships.

Purpose:

The goals of this study were to determine (1) how the percentage of women applying to orthopaedic fellowships has changed from 2011 to 2021, (2) whether there was a correlation between sex and the likelihood of a successful fellowship match, and (3) which subspecialties tend to have a greater proportion of female applicants and fellows.

Methods:

The San Francisco (SF) Match service was used to obtain US orthopaedic fellowship applicant data from 2010 to 2021. San Francisco Match has run the match for the orthopaedic fellowship match since 2010. International medical graduates' applications, incomplete applications, or withdrawn applications were excluded. The following variables were collected and assessed: sex, subspecialty choice (except for hand because they do not use SF Match services), and match outcome. The number of female applicants and matches was recorded by year and compared with the number of male applicants and matches. Chi-square analysis was used to analyze categorical variables.

Results:

A total of 6969 applicants to all orthopaedic specialties within SF Match were included during the study period. Overall, 859 were female (12.3%), and 6110 were male (87.7%). The number of female applicants had an increasing trend over the 10-year period from 65 applicants in 2011 to 111 in 2021. The overall proportion of female applicants was between 10.1% and 14.4%. The annual match rate for female applicants was 90.7% to 100% during the study period while the match rate for male applicants was 93.7% to 97.3%. Regarding successful matches, pediatrics had the highest proportion of women (range: 30.2% to 46.2%), followed by foot and ankle (range: 9.8% to 26.4%). Spine (range: 3.2 to 10.9%) and adult reconstruction (range: 3.9% to 9%) had the least number of women among matched applicants.

Discussion:

This study found that the number of female applicants to orthopaedic fellowships has increased over the past 10 years. The difference in fellowship match rates among male versus female applicants did not statistically differ during this 10-year period; however, the proportion of female fellows is not equally distributed among subspecialties, with a higher proportion of women matching into pediatrics and foot and ankle and lower proportion in reconstruction and spine. These data can provide a benchmark for department chairs and society leadership to ensure they are recruiting, interviewing, and selecting candidates who are representative of the current sex demographics of orthopaedic fellowship graduates.
Membentengi Generasi Muda: Penanaman Nilai-Nilai Pancasila untuk Mencegah Korupsi
Authors: Syawang Sirilus Daniel Agung , Muhammad Ilham Iskandar  , Crist Evan Lamhot Turnip  , Darrell Hammam Luthfiadi  , Haikal Putra Gustiansyah  , Mufti Malik Falhadi  , Yayang Furi Furnamasari
Published: May 2024

Corruption has become a serious problem that undermines the foundations of morals and society. Corruption is not only economically damaging, but also threatens the integrity of the nation and state. Combating corruption is not only the task of the government, but also requires the active role of the community from all social layers, especially the younger generation who are the future successors of the nation. This study aims to determine the importance of instilling Pancasila values to fortify the younger generation from acts of corruption. The research was conducted using a qualitative case study method. Information was collected through observation of documents from scientific articles by entering keywords: Pancasila, corruption, young generation. The data analysis technique used is inferential, by generalizing the information obtained and processing the information to more specific information. The results of this study show the importance of instilling Pancasila values as the key to forming anti-corruption characters in the younger generation to achieve the ideals of the country
An Ensemble Classification Model to Predict Alzheimer’s Incidence as Multiple Classes
Authors: P Radhika Raju , A Ananda Rao
Published: May 2024

This study introduces an ensemble classification model designed to categorize Alzheimer’s disease (AD) into four distinct classes—mild dementia, no dementia, moderate dementia, and very mild dementia—using Magnetic Resonance Imaging (MRI). The proposed model entitled the Ensemble Classification Model to Predict Alzheimer's Incidence as Multiple Classes (PAIMC) that integrates a six-dimensional analysis of MR images, encompassing entropies, Fractal Dimensions, Gray Level Run Length Matrix (GLRLM), Gray Level Co-occurrence Matrix (GLCM), morphological features, and Local Binary Patterns. A four-fold multi-label cross-validation approach was employed on a benchmark dataset to evaluate the model's performance. Quantitative analysis reveals that PAIMC consistently achieves superior Decision Accuracy, F-Score, Specificity, Sensitivity Recall, and Precision metrics compared to existing state-of-the-art models. For instance, PAIMC's Decision Accuracy and Precision outperform the second-best model by a notable margin across all folds. The model also demonstrates a significant improvement in Sensitivity Recall and Specificity, reinforcing its efficacy in the multi-class classification of AD stages. A novel data diversity assessment measure was developed and utilized, further confirming the robustness of the PAIMC model. The results underscore the potential of PAIMC as a highly accurate tool for AD classification in clinical settings.
Ảnh hưởng của động cơ vay, nhận thức về lợi ích và rủi ro đối với ý định sử dụng dịch vụ cho vay ngang hàng của sinh viên đại học tại Việt Nam
Authors: Nguyễn Thành Hưng
Published: May 2024

Xu hướng phát triển của công nghệ tài chính (Fintech) ngày càng gia tăng dẫn đến dịch vụ cho vay ngang hàng qua các ứng dụng di động ngày càng phổ biến. Sinh viên đại học luôn là khách hàng tiềm năng của dịch vụ này. Do đó, nghiên cứu khám phá mối tương quan giữa động cơ vay, nhận thức về lợi ích, nhận thức về rủi ro và ý định của sinh viên đối với hoạt động vay ngang hàng. Nghiên cứu sử dụng bảng câu hỏi để thu thập dữ liệu từ 295 sinh viên tại một trường đại học công lập, kết hợp với phân tích hồi quy phân cấp (hierarchical regression), nghiên cứu đã chỉ ra động cơ vay ảnh hưởng trực tiếp đến nhận thức về lợi ích và rủi ro việc vay ngang hàng. Đồng thời, kết quả khảo sát cũng cho thấy động cơ vay, nhận thức về lợi ích và rủi ro cũng có tác động trực tiếp đến ý định sử dụng dịch vụ và ý định giới thiệu dịch vụ vay ngang hàng của người sử dụng. Qua đó, bài viết đề xuất một số khuyến nghị về hoạt động đào tạo nhằm cải thiện kỹ năng quản lý tài chính cá nhân của sinh viên đại học.
Manajemen Pengembangan Kompetensi Tenaga Pendidik Di Madrasah
Authors: Sintasari Beny
Published: May 2024

This research aims to analyze the management of competency development for teaching staff at MA Darul Ulum Bandung Jombang. The method used is qualitative with data collection techniques through observation, interviews and documentation. The research results show that the professionalism competency of teaching staff at MA Darul Ulum Bandung Jombang has reached a good level. This competency development occurs through an effective planning, implementation and evaluation process. Planning is carried out through regular supervision and work meetings to identify teacher training needs. Implementation is carried out through training and workshops which teaching staff must attend every year. Evaluation is carried out after training or workshops to evaluate the achievements and success of teaching staff. Thus, it can be concluded that MA Darul Ulum Bandung Jombang has succeeded in managing and increasing the professional competence of its teaching staff, which is an important basis for improving the quality of education at the institution.
Prognostic value of simple frailty and malnutrition screening tools for determining surgical risk in patients with chronic limb threatening ischaemia undergoing major vascular surgery: a retrospective cross-sectional study
Authors: Palmer J , Pymer S , Smith GE , Ingle L , Harwood AE , Chetter IC
Published: May 2024

Background: This study aims to explore the prognostic value of simple frailty and malnutrition tools for determining postoperative outcomes at 30 days and one year in patients with chronic limb threatening ischaemia (CLTI) undergoing major surgery. Methods: This was a single-centre retrospective observational cross-sectional study in a tertiary UK Vascular Centre. We applied the Derby Frailty Index (DFI), the Acute Frailty Network Criteria (AFNC), the Prognostic Nutritional Index (PNI) and the Geriatric Nutritional Risk Index (GNRI) to routinely collect clinical audit data recorded from a combination of medical and nursing notes, blood test results and discharge letters. Results: We included 73 patients who had undergone amputation (mean age 69 (range 57–77) years; 71% male; mean body mass index (BMI) 27 (range 23–31) kg/m2) and 66 patients who had undergone bypass surgery (mean age 73 (range 64–81) years; 70% male; BMI 26 (22–30) kg/m2). The 30-day mortality rate of a frail patient (DFI and AFNC, respectively) was 21% (n=8/39) and 23% (n=6/26) compared with 7% (n=7/100) for non-frail patients. Frailty was associated with 30-day (DFI: odds ratio (OR) 3.4 (95% CI 1.2 to 10.2), p=0.027; AFNC: OR 3.4 (95% CI 1.1 to 10.7), p=0.034) and one-year (DFI: OR 7.95 (95% CI 3.4 to 18.6), p<0.001; AFNC: OR 5.9 (95% CI 2.4 to 14.7), p<0.001) mortality. Frailty, according to the AFNC, was also associated with an increased risk of re-admission. Neither of the malnutrition screening tools was associated with 30-day or one-year mortality (p>0.05). Conclusions: Our analysis confirms that both the DFI and AFNC tools identify patients with CLTI who are at the greatest risk of poor outcomes following major surgery. Frailty warrants further investigation and should be part of the consent and joint decision-making process in this patient population, to personalise care and minimise the risk of poorer outcomes.
Cloud Assisted IoT-Operated Small Residential Microgrid with Collusive Model Approach for Energy Trading
Authors: Das Epsita , Banerji Ambarnath , Biswas Sujit
Published: May 2024

This article explores a strategic approach for an energy-self-sufficient and economically sustainable small residential community, powered by rooftop solar photovoltaics. This community plays the role of a microgrid (MG) with a microgrid operator (MO). It operates in two distinct modes: within the MG (peer-to-peer or P2P) and with the utility grid. The P2P transfer is experimentally performed with open-source Internet of Things (IoT) applications from the cloud. This will enable a low-cost MG operation for developing countries. Residents from the community are elected considering their support towards community welfare, and they are considered as delegates. The MO with delegates, control the energy transfer operation. This approach distributes generated energy among community members at low prices if there is energy demand, minimizing carbon footprint. The action of selling energy by a prosumer during the need of fellow resident is considered as the token of social service towards the community. A social service counter (SSC) is chosen to identify services for each prosumer in the MG. When a seller sells energy within the community, the SSC increases. This count rewards the prosumer in several ways. MO only allows prosumers to participate in energy trading with the grid during the high-demand hours of the day. Delegates play an essential role in protecting the community's interest while selling energy outside the community. They try to form a coalition among participants to reduce installation costs and maximize the cumulative payoff. A comparative study between the proposed coordination game and two competitive game approaches, namely Cournot and Stackelberg's algorithm in the restricted domain, reveals that the proposed method is well suited for a small residential MG. Shapley value is a tool that identifies each delegate's contribution during the game. The paper employed this method for the overall coordination game to identify the most acceptable payoff for individual players.
BARQAROR MOLIYALASHTIRISHDA BANKLARNING ROLI
Authors: Tashxodjayev Abdurasul
Published: May 2024

Ushbu tadqiqotda, banklarning barqaror moliyalashtirishga jalb etilishi bilan bog‘liq muammolar va imkoniyatlarni o‘rganildi, ular tartibga solish talablariga muvofiqlik va hisobot talablaridan tortib bozor dinamikasi va manfaatdor tomonlarning kutishlarigacha. Unda banklarning barqarorlik tashabbuslarining ishonchliligi va samaradorligini ta’minlashda risklarni boshqarish bo‘yicha ishonchli amaliyotlar, shaffoflik va hisoblashning ahamiyati muhokama qilinadi. Bundan tashqari, tadqiqotda banklar uchun barqaror moliyaning potentsial afzalliklarini, jumladan, obro‘sini oshirish, mijozlarga sodiqlik va yangi bozor imkoniyatlariga kirishni o‘rganiladi. Unda banklarning barqaror rivojlanish katalizatori sifatidagi roli, ularning moliyalashtirish va investitsiya faoliyati orqali inklyuziv va barqaror iqtisodiyotga o‘tishga ko‘maklashuvchi roli ko‘rsatilgan. Xulosa qilib aytganda, tadqiqot barqaror moliyani rivojlantirish yo‘lidagi global sa’y-harakatlarga hissa qo‘shishda banklarning hal qiluvchi rolini aniqlandi.
O‘ZBEKISTON JAHON SAVDO TASHKILOTIGA A’ZO BO‘LISHINING MAMLAKAT FOND BOZORIGA TA’SIRI
Authors: Yuldasheva Nilufarxon , Nusratullayev Burxonjon
Published: May 2024

Ushbu tadqiqot Oʻzbekistonning Jahon Savdo Tashkilotiga (JST) aʼzo boʻlishining uning fond bozoriga taʼsirini oʻrganadi. Oʻzbekistonning JSTga aʼzo boʻlishi jahon iqtisodiyotiga integratsiyalashuv yoʻlidagi muhim qadam boʻlib, uning iqtisodiyotining turli tarmoqlariga, jumladan, fond bozoriga ham taʼsir koʻrsatadi. Sifat va miqdoriy metodologiyalarning kombinatsiyasidan foydalangan holda, ushbu tadqiqot O‘zbekistonning JSTga a’zo bo‘lganidan keyin fond bozoriga kutilayotgan ta’sirlarni tahlil qilishga qaratilgan. Savdo siyosatidagi o‘zgarishlar, bozor qoidalari, investorlarning kayfiyati va makroiqtisodiy ko‘rsatkichlar kabi omillar ularning fond bozori faoliyatiga ta’sirini baholash uchun tekshiriladi. JSTga aʼzolik va Oʻzbekiston fond bozori oʻrtasidagi munosabatlar haqida tushuncha berish orqali ushbu tadqiqot mamlakatning iqtisodiy dinamikasini tushunishga hissa qoʻshish va investorlar, siyosatchilar va manfaatdor tomonlar uchun qimmatli maʼlumotlarni taqdim etishga intiladi.
БОЛАЛАР УЧУН ЯРАТИЛГАН МАТНЛАРНИНГ AНТРOПOЦЕНТРИК ХУСУСИЯТЛАРИ
Authors: Юлдашева Дилафруз
Published: May 2024

Мазкур мақолада мaтн мaълум бир дaвр мaҳcули, муaйян вoқеликни тил вocитaлaридa aкc эттирувчи лиcoний қoбилият мaҳcули эканлиги, бoлa ўзигa тушунaрли мaтн oрқaли oнгидa oлaмнинг aнтрoпoцентрик тaртибгa coлингaн олам мaнзaрacини ярaтиши таъкидланган. Шунингдек, мaтннинг кoгнитив вa лингвoмaдaний жиҳaтдaн aҳaмияти шaкл вa мaзмyн бирлиги, yмyмийлик вa xуcуcийлик уйғунлиги тaмoйилидa aкc этиши, болалар учун яратилган матнларда болаларга хос ички кечинмаларни тасвирлаш натижасида воқелик вужудга келиши мисоллар орқали далилланган.
From small spark to great fire
Authors:   , Grijpma Jan Willem
Published: May 2024

A summary is included in the dissertation.
Multiscale Fusion Convolutional Network in Real-time Semantic Segmentation
Authors: Xing Jiali , Dong Yongsheng
Published: May 2024

To achieve semantic segmentation tasks in practical applications such as autonomous driving, networks need to efficiently process high-resolution images while maintaining high accuracy. This requires methods to effectively fuse spatial information in high-resolution images with semantic information in low-resolution images. To address this, this paper proposes a Multi-scale Fusion Convolutional Network (MFCNet) based on a single-branch network structure. In order to simultaneously handle information at different scales and assist the network in capturing a wide range of contextual information, separable Multi-Scale Convolution Modules (MSCM) are introduced to enable the network to obtain richer and more comprehensive feature representations. Additionally, considering that shallow-level information is difficult to directly restore resolution, a Dual-Attention Fusion Module (DAFM) is designed, introducing two attention mechanisms to respectively weight feature maps at different resolutions. Experimental results demonstrate that MFCNet achieves outstanding performance in real-time semantic segmentation tasks.
IoT Smart Home Design for the Elderly Living Alone
Authors: Yan Qizheng
Published: May 2024

Elderly people living alone face problems such as memory loss and poor safety awareness. However, elderly people have less understanding of smart home and electronic equipment, and some smart devices are complicated to operate, which do not meet the needs of elderly people. Therefore, this paper designs an Internet of Things (IoT) smart home system with automatic prompt, automatic start, monitoring and alarm functions, and takes automatic air conditioning as an example. The realization process is discussed in detail. It aims to improve the convenience of living alone for elderly people.
Role of Technology by Police to Maintain Peace During Muharram
Authors: Gulam Rasul Zahid
Published: May 2024

Over the past several decades, policing agencies have implemented an array of technological advancements to improve operational efficiency. Pakistan has increased security measures across the country for muharram processions carried out for Ashura. Security has been enhanced across the country for the peaceful observance of Ashura due to wave of religious terrorism from previous few decads. For this, a huge personnel of regular police officers, along with an additional reserve officers, are deployed to guard mourning processions and gatherings across the country and to keep the law and order situation under control. Role of police in providing peace during muharram is very significant. Police personel perform their duties for late nights with great spirit during 1st week of Muharram under harsh weather (usually hot days), and danger of terrorism despite limited resources. Good behavior, determination, dedication of police force during the muharram duties is praise worthy and exemplary and it ensured maintenance of atmosphere of law and order work with diligence and commitment. Police officers remain alert to counter any untoward incident and keep keen eye on sensitive areas during Ashura. Police sealed many parts of inner as part of security for Ashura. They blocked roads and streets leading to these places. cellular phone signals remained suspended as part of upgraded security. Checkpoints are kept functional across the country and additional security personnel is served during 9th and10th muharram. District police personnel, bomb disposal units, Scouts, platoons of Constabulary and soldiers are deployed to protect processions and sacred places and authorities took extraordinary measures to confirm the security of people and religious gatherings during Ashura. Police installed closed circuit television cameras (CCTV) along the procession routes. Police champions bear tough circumstances and nothing can down the determination of the of Police force. We hope that the law enforcement agencies would continue to perform their duties in the same way to ensure the protection of life and property of the citizens across the country.