bluuebunny/crossref_metadata_2025 huggingface dataset:
33. KẾT QUẢ BƯỚC ĐẦU PHẪU THUẬT NỘI SOI ĐIỀU TRỊ U THẬN SỬ DỤNG MÔ HÌNH IN 3D TẠI BỆNH VIỆN E TỪ 2021 ĐẾN 2024
Authors: Liên Nguyễn Đình , Thịnh Nguyễn Thế , Lực Mai Văn , Quang Nguyễn
Published: May 2024

Mục tiêu: Đánh giá kết quả phẫu thuật u thận có ứng dụng in 3D mô hình thận được cá thể hóa tại bệnh viện E từ 2021 đến 2024.
Đối tượng và phương pháp: Quan sát mô tả 16 bệnh nhân được phẫu thuật u thận có sử dụng in 3D mô hình thận được cá thể hóa tại bệnh viện E từ tháng 4/2021 đến hết tháng 02/2024.
Kết quả: 16 bệnh nhân gồm 8 nam (50,0%) và 8 nữ (50,0%). Độ tuổi trung bình là 61,7 tuổi, trong đó đa số nằm trong độ tuổi 60 – 69 (50%). Có 9 bệnh nhân mắc u thận bên trái (56,2%) và 7 bệnh nhân mắc u thận bên phải (43%), trong đó u cực dưới chiếm tỷ lệ cao nhất (43%). Kích thước trung bình u là 29x26x27mm. Thời gian phẫu thuật trung bình là 152 phút. Hầu hết các trường hợp được tiến hành phẫu thuật nội soi sau phúc mạc (14/16 trường hợp, chiếm 87,5%). Có 3 trường hợp phải cắt thận toàn bộ (chiếm 18,75%) do u xâm lấn bể thận. Có 2 trường hợp phải chuyển mổ mở (chiếm 12,5%). Có 3 trường hợp gặp biến chứng sau phẫu thuật (18,75%).
Kết luận: Phẫu thuật nội soi điều trị u thận có ứng dụng in 3D mô hình thận được cá thể hóa cho thấy kết quả khả quan, với thời gian phẫu thuật ngắn, tỷ lệ bảo tồn thận cao và biến chứng thấp.
Relationship Between Activities of Visits to the Elderly Posyandu and The Elderly's Level of Independence
Authors: Yuningsih Aneng , Indah KKH Dara , Wahyu Nandang
Published: May 2024

Background: Posyandu for the elderly is a service for the elderly community which aims to improve health and create a happy, healthy, independent and efficient old age. For elderly people who do not actively utilize health services at the elderly posyandu, their health condition cannot be monitored properly, so that if they experience a risk of disease due to a decline in body condition and the aging process, it is feared that this could have fatal and life-threatening consequences. Objective: This research aims to find out The relationship between active visits to elderly posyandu and the level of independence of elderly people at Posbindu Waluya Purwaharja 1, Banjar City. Research Method: This research is a quantitative correlation research with a survey research design. Time approach with a retrospective method. Results: from the results of the Chi Square statistical test, a P value of 0.000 is smaller than alpha 0.05. Conclusion: There is a relationship between the activeness of elderly posyandu visits and the level of independence of elderly people at Posbindu Waluya Purwaharja 1, Banjar City. Suggestion: Elderly people are expected to have greater awareness of the importance of elderly posyandu, the need for family support and new innovations to increase the attractiveness of elderly people to come to elderly posyandu
Estrategias administrativas en las empresas pospandemia
Authors: Cortés Paola Alejandra , Joya Quinteros Manuel , Delgado Díaz Luz Amparo , Valencia Sandoval Araceli Anayanzi , Gómez Chávez Lino Francisco Jacobo , Hernández Islas Mónica , Mendoza Cortés Mireya , Becerra Bizarrón Manuel Ernesto , Martínez Andrade Ricardo Josué , Vargas Aceves Miriam del Carmen , Ruiz Guangorena Mariam , Sandoval Ballesteros Georgina Dolores , Vázquez Altamirano Moisés , Espinoza Sánchez Rodrigo , López Sánchez José Alejandro , Peña Casillas Carlos Salvador , Cortés Velázquez María del Consuelo , Ortega Ceja Rosa Isela , Zepeda Peña Héctor Hugo , Montes Zambrano Indira Rosalía
Published: May 2024

El libro “Estrategias administrativas en las empresas pospandemia” analiza cómo las empresas pueden adaptarse y prosperar en un mundo transformado por la pandemia de COVID-19. En su núcleo, la obra propone un enfoque proactivo para la gestión empresarial en tiempos de incertidumbre. La pandemia ha alterado radicalmente el panorama empresarial, lo que requiere estrategias flexibles y creativas para sobrevivir y crecer. El texto explora diversas estrategias administrativas que las empresas pueden adoptar para navegar por este entorno cambiante. Desde la implementación de tecnologías digitales, hasta la reevaluación de cadenas de suministro y modelos de negocio, se examinan en profundidad las acciones que pueden tomar las organizaciones para mantener su relevancia y competitividad. Además, se abordan temas como la gestión del talento humano en un entorno laboral remoto, la importancia de la agilidad organizacional y la innovación continua como impulsores del éxito empresarial en la era pospandemia. El libro también destaca la necesidad de una comunicación clara y efectiva tanto interna como externa, así como la importancia de mantener un enfoque centrado en el cliente para garantizar la lealtad y la satisfacción del cliente en un mercado cambiante. Se presentan herramientas y enfoques para identificar y mitigar riesgos emergentes, así como para anticipar cambios en el mercado y aprovechar nuevas oportunidades de crecimiento.
A Methodology for Solving Fuzzy Linear Programming Problem as a Fuzzy Linear Complementarity Problem
Authors: Jenifer D H
Published: May 2024

In this paper, the linear complementarity problem with Fuzzy parameters is discussed. The Linear Programming Problem can be transformed into a Linear Complementarity Problem. The Maximum Index method is used to solve the converted Linear programming problem. The maximum index method has been introduced as a potential approach for identifying a complementarity feasible solution to the Linear Complementarity Problem. The fuzzy arithmetic operations are utilized for the triangular fuzzy numbers. A real-life example has been provided to demonstrate the suggested approach.
On the Geometry of Grassmannian Manifold
Authors: T. Venkatesh
Published: May 2024

We start with basics in Differential manifold such as complex manifolds, tangent space to a manifold, complex sub manifolds and sub varieties and specified their generalizations to projective spaces with its rich topological and smooth manifold structure.
A Comparison Study on Replacing Machines in Uncertain Environments whose Maintenance Costs Increase with Different Scrap Values Over Time
Authors: Saranya. V
Published: May 2024

Replacement is a type of maintenance performed on a system to ensure that it operates efficiently and effectively. Replacement theory is commonly used to describe the replacement of machines or equipment due to deterioration, decreased efficiency, failure, or breakdown. In applications dealing with uncertainty, an intuitionistic fuzzy set has been used. The purpose of this study is to investigate the replacement problem with uncertainty. This problem involves imprecise capital cost, imprecise scrap value or salvage value, and an imprecise maintenance cost. The imprecise values are assumed to be positive intuitionistic fuzzy numbers in this case. Scrap fuzzy value is the value of a physical item's separate parts when the asset is regarded to be no longer useful. After a long-term asset, such as machinery, a vehicle, or furniture, has served its purpose, it may be disposed of. Based on the age of the machine or equipment, this article examined three different replacement models. The first is based on rising imprecise maintenance costs and no scrap value. When the price of fuzzy Maintenance costs is rising. Because it is assumed that the asset will be obsolete at the end of the longer depreciation period. The second is based on increasing imprecise maintenance costs in conjunction with a scrap fuzzy value. In some circumstances, a piece of business machinery's scrap fuzzy value may remain constant for a number of years after it has reached the end of its useful life.. The third is based on rising imprecise maintenance fuzzy costs and falling scrap fuzzy value. When imprecise maintenance costs increase, most of the time, the scrap value falls. The soundness of the proposed method is to determine the age of a machine or piece of equipment without converting fuzzy values to crisp values.
V2G Nonlinear Connection in EV’s for Wireless and Sustainable Mobility with Support of Machine Learning
Authors: Sudeepthi Govathoti
Published: May 2024

In order to achieve reliable, rapid, and affordable charging solutions, this study examines the several approaches and strategies used in electric vehicle wireless charging systems. Wireless charging offers an eco-friendly and user-friendly alternative to standard cable systems by doing away with the need for physical connections. In the first section of the review, presented below are the numerous modes of wireless power transfer, with an emphasis on the inductive & capacitive methods. Next, the essay delves into the several kinds of electric vehicle wireless charging systems, including mobile and static alternatives, and how they are categorised. Noteworthy to this research is its examination of dynamic charging systems' standard model and design characteristics, which enable wireless charging in moving vehicles. It also shows how important control system features are for effective power transmission and communication between charging receiver and transmitter parts. In addition to reviewing various battery models and comparing various types of batteries, the article acknowledges the crucial function that batteries play in electric vehicles and highlights how they affect the parameters of the charging system. Finally, the paper delves into a discussion of its findings and makes suggestions for further research in this area.
Depression Classification using Harris Hawk Optimization (HHO) based Recurrent Fuzzy Neural Network (FRNN) for Sentiment Analysis: An Applied Nonlinear Analysis
Authors: P. Suganya
Published: May 2024

The research introduces a novel approach for sentiment analysis by combining Harris Hawk Optimization (HHO) with a Recurrent Fuzzy Neural Network (FRNN). Sentiment analysis, crucial in natural language processing, often struggles with the complexities of language. The proposed methodology addresses these challenges by leveraging HHO's adaptability and FRNN's temporal modeling capabilities. FRNN, with recurrent connections, effectively captures temporal dependencies in sequential data, making it suitable for sentiment analysis. Additionally, fuzzy logic in FRNN handles linguistic uncertainty, enhancing model robustness. The methodology involves preprocessing tweets, feature extraction using techniques like Latent Semantic Analysis (LSA), Independent Component Analysis (ICA), and lexicon-based analysis. Feature selection methods like PMI, chi-square, and DFS are employed to reduce dimensionality. The sentiment classification utilizes Kernel Extreme Learning Machine (KELM), where KELM's kernel function eliminates the need for setting hidden node size. The sentiments are then detected using the HHO-based FRNN, optimizing weight parameters for classification accuracy. HHO's hunting phases aid in the convergence of the algorithm, reducing computational complexity. Experimental evaluations demonstrate superior performance over existing techniques, offering a promising avenue for sentiment analysis in natural language processing research.
Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis
Authors: Y Padma
Published: May 2024

Content-Based Image Retrieval (CBIR) systems have witnessed significant advancements in recent years, particularly in the domain of medical image analysis. This paper provides an introductory overview of these advancements in CBIR systems tailored for medical image analysis. The evolution of CBIR techniques and their applications in the medical field are discussed, highlighting their importance in tasks such as diagnosis, treatment planning, and research. Various modalities of medical imaging, including X-rays, CT scans, MRI, and PET, are addressed in the context of CBIR systems. Lung cancer incidence rates vary across regions, with the highest rates observed in North America, Europe, Eastern Asia, and South America, and the lowest rates in certain geographic areas. Moreover, the integration of machine learning and deep learning approaches in CBIR systems is explored, emphasizing their role in enhancing image retrieval accuracy and efficiency. Additionally, challenges and future directions in the development and deployment of CBIR systems for medical image analysis are discussed, providing insights into potential avenues for further research and innovation in this rapidly evolving field.
Application of Clothing Design Based on Computer Vision Technology Using Hybrid Graph Convolution Neural Network and Lotus Effect Optimization Algorithm
Authors: Bei Li
Published: May 2024

The garment identification problem finds application in both computer vision and deep reading. In academic circles, clothing classification is a topic of great interest. This manuscript proposes an application of clothing design based on computer vision technology using hybrid graph convolution neural network (HGCNN) and lotus effect optimization algorithm (LEA) (ACD-CVT-HGRNN-LEA). Initially, the extracted images from computer vision are collected from Fashion-MNIST dataset. Collected images are pre-processed to improve the quality of cloth design using hybrid graph transformer collaborative filtering (HGTCF). Later, pre-processed images are given to feature extraction; morphological features like shape, structure, colour, pattern, and size are extracted based on proportion-extracting synchrosqueezingchirplet transform (PESCT). Finally, the extracted features are fed to hybrid graph convolution neural network (HGCNN)for effectively classify the cloth design. In, general hybrid graph convolution neural network classifier does not express adapting optimization strategies to determine optimal parameters to ensure accurate cloth design detection system. Hence, the proposed method examined utilizing performance metrics like accuracy, precision, Fl-score, specificity, Recall, Least square error, and computation timing. Proposed ACD-CVT-HGRNN-LEA method attains 99% higher accuracy, and 150 (s) low times analysed to the existing methods respectively.
Assessment and Prediction of University English Teaching Effect Using Progressive Recurrent Generative Adversarial Network
Authors: Zhiyong Sun
Published: May 2024

An intelligent evaluation technique of English teaching ability based on enhanced machine learning algorithm is proposed to fully explore the quality of English teaching, fully exploit the effect of intelligent evaluation of English teaching ability. It can guarantee rational allocation of English teaching resources, evaluate big data of constraint parameters of English teaching ability evaluation, attain frequent item sets of English teaching quality depend on big data mining technology. In this paper, Assessment and Prediction of University English Teaching Effect Using Progressive Recurrent Generative Adversarial Network (APETE-PRGAN-GOA) is proposed. Initially the input data is collected from fig share, it is given to preprocessing. The preprocessing, remove useless words using Learnable Edge Collaborative Filtering (LECF). Then the pre-processed output is fed to Prediction of English Teaching Effect. Here, Progressive Recurrent Generative Adversarial Network (PRGAN), is used to Predict English teaching ability. In general, PRGAN classifier does not express any optimization adaption approaches for determining optimum parameters to assure the assessment. Here Gazelle Optimization Algorithm utilized to optimize PRGAN classifier, for English Teaching Effect. The proposed technique executed in Python, performance of proposed technique is analysed with evaluation metrics likes,evaluation accuracy, correlation coefficient, mean squared error, evaluation time, occurrence (time), recall, F1-score, RoC are analyzed. The proposed APETE-PRGAN-GOA method attains 30.58%, 28.73% and 35.62%, higher evaluation accuracy, 20.48%, 24.73%, 29.32% higher RoC and 30.98%, 26.66% and 21.32% lower mean squared error analysed with existing models such as intelligent assessment method of English teaching ability depend on enhanced machine learning algorithm (ISM-ETE-CNN), application of machine learning with IoT methods in evaluation of English teaching effect in colleges (CNN-ETE-IOT),English teaching evaluation technique depend on association rule algorithm with machine learning (ETE-ARA-SCN) respectively.
Socialized Teaching of English Learning in Mobile Internet Technology
Authors: Jing Tang
Published: May 2024

Distractions and multitasking can hinder the effectiveness of language learning, requiring innovative strategies to engage and maintain learners focus. Equitable access to mobile internet technology and ensuring accurate and culturally appropriate language learning materials are challenges in the socialized teaching of English learning in mobile internet technology. To overcome this issue, present for Socialized Teaching of English Learning in Mobile Internet Technology (STEL-MIT) is proposed. Initially, the data is collected from English education database. In pre-processing segment; it removes the noise and enhances the input data’s utilizing Sub Aperture Keystone Transform Matched Filtering (SAKTMF).Afterward, the data’s are fed to pre-processing. In pre-processing segment; it eliminates the missing data and enhances the input data’s utilizing Sub Aperture Keystone Transform Matched Filtering (SAKTMF).The outcome from the pre-processing data is transferred to the ITFCZNN. The listening, speaking, reading, writing are successfully classified by using ITFCZNN. The MCOA is used to optimize the weight parameter of ITFCZNN. The proposed method is implemented using MATLAB, and several performance metrics, including accuracy, precision, recall, sensitivity, F1 score, and calculation time, are used to determine the proposed STEL-MIT method's efficiency. Proposed STEL-MIT method attains higher accuracy 16.65%, 18.85% and 16.45%; higher sensitivity 16.34%, 12.23%, and 19.12%; higher precision 14.89%, 16.89% and 20.67%,higher recall 16.34%, 12.23%, and 18.54% analysed to the existing methods, such as Access to Online Learning: Machine Learning Analysis from a Social Justice Perspective (AOL-ML-SJP), Design of Online Intelligent English Teaching Platform Based on Artificial Intelligence Techniques (OIET-AI), and Novel Attack Finding System for Investigating Pedagogical Challenges of Mobile Technology to English Teaching (IPC-MT-ET), respectively.
Incursión de la gastronomía tradicional mexicana en la esfera pública a partir del reconocimiento de la Unesco
Authors: Sánchez-Valdés Arlen , Millán García Carlos , Icaza Castro Gloria
Published: May 2024

En el año 2010 la gastronomía mexicana formó parte de la Lista Representativa del Patrimonio Cultural Inmaterial de la Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO). Esto marcó un parteaguas en su estudio, promoción e investigación, reconociéndose no solo el valor cultural sino también su importancia económica y social. Así, el entender cómo la gastronomía se transformó en un problema de interés público es parte del objetivo de este artículo. Para esto se llevó a cabo una revisión histórica de entrevistas disponibles en YouTube, documentos oficiales y artículos, principalmente en revistas indizadas, con el objetivo de entender la evolución del reconocimiento público de la gastronomía mexicana, los actores involucrados y los principales retos en el corto y mediano plazo. Así, este estudio logra identificar la existencia de importantes avances en materia pública que incidirán en la conservación de la gastronomía tradicional mexicana, pero aún hay muchos retos por lo que, su relevancia en la esfera pública se inserta como factor clave para su supervivencia.
Apology Strategies: Appropriateness and Frequency of Use by Saudi EFL Students
Authors: Qutub Hassan
Published: May 2024

The present study aimed at investigating the apology strategies employed by Saudi FEL university students. The researcher examined the appropriateness of participants’ apologies, first through analyzing them in terms of Olshtain and Cohen’s “semantic formulas in the apology speech act set” (Olshtain & Cohen, 1983), then by having native speakers of English to evaluate them for appropriateness on a four-point Likert scale. Results indicated that “illocutionary force indicating device” (e.g., I am sorry) was the most frequently used strategy as it was utilized in 75% of the responses. As for the appropriateness of the apology strategies used by Saudi EFL undergraduate students, 23.4% of the responses to the situations that required apology were inappropriate or strongly inappropriate. Exposure to culturally dense language content was suggested to help EFL learners utilize apologies appropriately.
The Enzyme Histochemistry of Eimeria-Infected Lambs
Authors: Özüiçli Mehmet , Kısadere İhsan , Aydın Mehmet Faruk
Published: May 2024

Objective: We aimed to investigate the effects of Eimeria infection on ANAE-positive lymphocyte percentages of lambs in the present study. Materials and Methods: For this purpose, fecal samples were taken from 200 animals into sterile containers on day 0. Eimeria positivity was detected in lambs according to the Fulleborn saturated saline method. Besides, oocyst load was detected by using the Mc. Master method in lambs. Forty of 200 lambs (n=40) aged approximately 60-75 days from a farm where Merino sheep were raised were included in this study. Experimental groups were established as Eimeria-positive male lambs (n =10), Eimeria-negative male lambs (n =10), Eimeria-positive female lambs (n =10), Eimeria-negative female lambs (n =10). Blood samples were collected to determine ANAE-positive lymphocyte percentages in lambs. Results: Results of the present study shown that Eimeria positivity was detected in 10 male and 10 female lambs according to the Fulleborn saturated saline method. According to the Mc. Master method, oocyst load was determined between 10.000-15.000 in male and female positive lambs. Eimeria-positive male and female lambs had the greatest ANAE-positive lymphocyte percentages in our study (p < 0.05). Conversely, the lowest ANAE-positive lymphocyte percentages were found in Eimeria-negative female lambs, which were not statistically different from male lambs in the present study. It was the first report according to the detection of ANAE-positive lymphocyte percentages in Eimeria-infected lambs. Conclusion: In conclusion, ANAE-positive lymphocyte percentages can be affected by Eimeria positivity and oocyst load (between 10.000-15.000) both in male and also female lambs.
The Rising Insecurity In Nigeria: Interogating The Linkage Between Poverty And Banditry
Authors: Mayowa Oladoyin Anthony , Uwa Osimen Goddy , Adi Isaac , Dada Omolara
Published: May 2024

Security creates an environment in which people in an economy can set goals and invest in their future and where social bonds and institutions are strengthened, which leads to economic growth and development. The paper went into detail about the rise of insecurity in Nigeria and how security threats and banditry are linked to the country's high poverty level. Even though poverty is not the only reason why people in Nigeria engage in banditry and other related crimes. Poverty was identified as a major cause in the paper. Other reasons cited include religion and a lack of education, both of which may be indirectly related to poverty. According to the study, banditry has direct consequences such as the destruction of lives and property and the displacement of people, as well as indirect consequences such as a decrease in foreign investment, a widening in the production gap of food items, a spike in food prices, deterioration of educational institutions, and loss of confidence of local and foreign investors, among others. Banditry is worsening Nigeria's poverty situation. The study concludes that insecurity threatens not only the affected Northern region of Nigeria, but also the country's overall growth and development. To address the insurgency problem in Nigeria, the government should focus not only on combating insecurity through militancy, but also on developing human capital and empowering the youth.
Development And Validation Of My Choice My Future (Mcmf) Career Indicator: A Comprehensive Indigenous Personality Assessment
Authors: Sk Dr Priyadharshini , Balammal Dr. Aruna , G P Dr. Girish , L S Dr. Ganesh
Published: May 2024

The study intricately explores development and validation process of an indigenous assessment tool known as 'My Choice, My Future' (MCMF) Career Indicator. This tool is meticulously crafted through five rigorous stages of thematic exploration aimed at aiding users in aligning their career choices with their unique personalities. Development of the MCMF engaged a diverse array of inputs from experts, including psychologists, career counselors, professionals, educators and researchers spanning across five phases. The phases encompassed identification of 12 core personality traits and creation of six foundational building blocks for each trait which culminated into 72 items. Validation of the items was carried out using triangulation technique. Mapping of traits to 25 career clusters along with their respective domains and required skill sets was conducted ensuring relevance within Indian context. Driving force behind this endeavor was the necessity for a culturally and psychometrically robust career interest assessment instrument tailored specifically for career guidance. Given its intended use in Indian context, the approach leaned towards naturalism rather than positivism. By integrating both etic (Western) and emic (Indian) research approaches, an effective indigenous assessment tool specific to career guidance was successfully developed ensuring its cultural relevance and efficacy.
Excision of basocellular carcinoma in the face with the rieger flap and A-T flap methods: a narrative review
Authors: Asen Hégon Henrique Scandoalara , Olenik Gabriel Czlusniak , Centa Ariana , Dal-Pont Gustavo Colombo
Published: May 2024

Basal cell carcinoma (BCC), a subtype of non-melanoma skin cancer, is aggressive and has metastatic potential, resulting from genetic alterations. The diagnosis of BCC is established by skin biopsy, and surgical approach is the most effective therapy for treatment. This study aimed to define BCC, describe its pathophysiology, clinical signs, diagnosis, and surgical treatment through the use of Rieger and A-T flaps in the excision of a facial BCC, via a narrative literature review. The search was conducted in the PubMed, BVS, and SCIELO databases, selecting 34 studies. Early diagnosis is essential for a favorable prognosis, with surgery being the main treatment, including the use of skin flaps. Among these, Rieger and A-T flaps stand out for their effectiveness in reconstructing complex defects in the facial region, offering satisfactory aesthetic and functional results. The Rieger flap addresses the nasofacial sulcus to the glabellar region, with subsequent wide detachment of the skin on the nasal dorsum, while the A-T flap covers the nasolabial sulcus and the lower orbital rim, regions with a high prevalence of BCC.
Correlation of the use of electronic cigarettes with sex and family income in young people
Authors: Corrêa de Moraes Nardo Giovana , Fernandes Juan Carlos , Pelielo Natália , Alves Leticia , Nogueira Lylian Gabriella , Gradim Maria Eduarda , Totti Júlia , Avezum Valentina , Zonetti Vitória , Cola Paula
Published: May 2024

Objective: To list young people’s dependence on the use of electronic cigarettes correlate to gender and family income. Methods: The study followed a primary, observational, cross-sectional, descriptive and analytical design. With the participation of 126 young electronic cigarette users, aged between 18 and 30, 44 men and 82 women from different family incomes. The research was developed through the development of an electronic questionnaire via Google Forms, based on the Fagerström test, which assesses the degree of nicotine dependence through an interview with pre-determined scores. Spearman's correlation test was used for statistical analysis. Result: There was no correlation between the degree of dependence and gender (male p=0.2188; female p=0.1881). Both sexes are distributed across all degrees of dependence. Regarding family income, there was also no significant correlation in the three income ranges (p=0.218, for incomes of up to 1,500 reais; p=0.391 for incomes of up to 5,000 reais, and p=0.284 for incomes above 5,000 reais). Conclusion: The use of electronic cigarettes among young people does not correlate with gender and family income.
Use of biologic agents in rheumatoid arthritis: a bibliographic review
Authors: Juda Luiza Horta Barbosa
Published: May 2024

Rheumatoid Arthritis (RA) is an autoimmune and chronic disease, which presents a heterogeneity of clinical manifestations and high potential for disability, consequently leading to a difficult diagnosis and treatment by health professionals. Common symptoms are pain, swelling, tenderness, warmth and redness in the affected joints, with long-term joint destruction, demonstrating the importance of early diagnosis and rapid initiation of treatment to prevent and control the pathogenic activity of the disease. Pharmacological treatment aims to mitigate and prevent joint damage, in addition to improving the patient's quality of life. Drug therapy varies according to the clinical stage and is based on the use of analgesics, corticosteroids, disease-modifying drugs, immunosuppressants and biologic agents. This article aims to address the treatment of RA, focusing on the use of biologic and targeted synthetic response modifiers and the best therapeutic choice, based on an integrative review with a survey of scientific data from 2017 to 2022, through guiding questions, based on of health data. The expected results include a synthetic and complete study of the treatment of RA and a thorough data analysis that in fact allows a better choice in the treatment of the disease.
Clinical audit on evaluating situations where patients are prescribed long-term steroids without appropriate monitoring for adverse effects such as osteoporosis, diabetes, or adrenal suppression
Authors: Abbas Waseem , Ahmed Aamir , Mehran Zoya , Ahmad Muhammad Saad , Khan Ahmad , Bukhari Syed Faraz , Ali Kashif , Ullah Sami , Lodhi Aiman Usman , Munawar Mehrub
Published: May 2024

Chronic inflammatory diseases are better managed with long-term steroid therapy. Nevertheless, it predisposes the patient to numerous complications if not monitored properly. The current clinical audit was carried out at the Emergency Lady Reading Hospital to check on the adequacy of monitoring practices of prolonged steroid use. In particular, the study focused on preventing adverse effects such as osteoporosis, diabetes, and adrenal suppression, which remain significantly high but are largely unaddressed in many clinical settings. The audit focused on a 54-year-old male patient under treatment for chronic obstructive pulmonary disease and rheumatoid arthritis, who was managed under long-term prednisone therapy for 8 years. The patient presented symptoms as severe fatigue, muscle weakness, and bone pain, which could be interpreted as indicative of adrenal insufficiency and osteoporosis. These were once again confirmed by the diagnostic tests, which again revealed a very critical gap in monitoring and managing his steroid therapy.  In this way, key recommendations include the need for periodic screening of bone density and adrenal function, and patient education on the risks of steroid use,  it would be of great importance in ensuring the safety of patients and increasing the approaches to treatment to prevent these cases in the future.
Comparison between flexible ureteroscopy in pre-stented group of patients and none pre-stented patients
Authors: Allahyani Hossam , Alhayek Rafe , Akhtar Zeeshan
Published: May 2024

Background: Ureteroscopy has a low re-treatment rate and a high stone-free rate, making it a very successful therapy for ureteral stones. Though ureteral stent installation may make ureteroscope and ureteral access sheath insertion easier, it may come with more complications before and after the procedure.  Aim: The objective of the research was to examine the disparities between pre-stenting and non-presenting ureteroscopy in the management of ureteral stones. Summary: Preoperative implantation of a ureteral stent may somewhat reduce the duration of surgery and enhance the stone-free rates in individuals having flexible ureteroscopy (fURS), however the effect is not statistically significant. Preoperative stenting resulted in a longer hospital stay and higher hospital expenses, but did not affect the incidence of complications and re-operations. Based on these data, it may be concluded that it is not justifiable to perform preoperative ureteral stent implantation before fURS for the treatment of upper urinary calculi. Nevertheless, due to the constraints of our study, more rigorous research, such as prospective randomized clinical trials, is necessary to validate our results.
صحاح ستہ کی روشنی میں بچوں کی اخلاقی تربیت: نبوی منہج و اسلوب
Authors: Muhammad Husnain Raza  , Samira Karamat
Published: May 2024

Abstract
The basic requirement of human nature is society, so for the moral training of a human being, the essential element is to learn the manners of mutual interaction. If that individual a Muslim, then qualities are increasing even more importance. In Islamic teachings, human character and morals were given a key position because these attributes are the mirror of any personality, and these attributes provide guidance to one person to identify another person. Therefore, it is the most important responsibility of the parents to train their child in such template which makes him a useful member of the society, in which he will grow towards good morals and always stay away from bad morals. In this article, the moral training of children will be reviewed in the light of the most reliable books of Islamic teachings.
Assessment of Lipid Peroxidation and biochemical diagnosis in digestive tract diseases
Authors: Bushra Nisar1  , Amaar Yasir Shah  , Saima Zaheer  , Farhana Aman  , Muhammad Junaid
Published: May 2024

In this research comparison of Oxidative stress, Lipid Profile, Electrolytes minerals were studied between Digestive tract diseases patients and normal. The subjects for this study include digestive patients (n=51) and normal or control group n=15. In Oxidative stress two parameters VIT C and CAT were studied. The value of VIT C and CAT was low as compared to normal group. Lipid profile different parameters like Cholesterol, TG, HDL, and LDL were studied. The value of Cholesterol and TG in digestive diseases were low as compared to normal while an increase was observed in the value of HDL and LDL as compared to normal at p>0.05. Electrolytes minerals parameters like Na, K, Cl and Bicarbonate were studied and increases of these values were observed. Hematological parameters like WBCs, RBCs, neutrophils, Eosinophil, Hematological, MCV and Platelets were also studied. An increase of Neutrophils, RBCs, Hemoglobin and MCV were observed at p < 0.005 and a decrease of WBCs, Eosinophil and platelets were observed during the study.
Coaching at scale: A strategy for strengthening the early learning workforce
Authors: Schachner Abby , Yun Cathy , Melnick Hann , Barajas Jessica
Published: May 2024

This report examines five early childhood coaching systems—two state systems (Alabama and Washington) and three California county systems (El Dorado, Fresno, and San Diego)—that have developed systemic coaching approaches. We studied these coaching systems to understand the different ways that comprehensive coaching systems can be implemented at scale, the types of coaching approaches used, and the supports offered. Although there is no singular strategy to scale effective coaching, this research provides insights for policymakers and program administrators seeking to incorporate coaching into their efforts to improve the quality of early childhood education.
Eksistensi Nilai-Nilai Pancasila di Era Society 5.0
Authors: Supriatna Chandra , Bahani Fadli Nur , Ramzar Falih Athofa , Hakim Luqman Muhammad Fadhlul Nul , Kholid Muhammad Haidar , Dzakwan Rifqi Muhammad , Furnamasari Yayang Furi
Published: May 2024

This article discusses the existence of Pancasila values in the era of Society 5.0. In this era, technology is increasingly dominant and brings new challenges in shaping the nation's character in accordance with the values of Pancasila. This article emphasizes the importance of applying moral and ethical values, especially in balancing digital skills, digital culture, and ethics. Through qualitative methods and literature studies. The method we use is a qualitative method, which is a descriptive method. The main data sources of this research are scientific articles published through google scholar and books relevant to the research topic. Analysis is carried out qualitatively consisting of data reduction, data presentation, and conclusions. The results showed that the values of Pancasila are still relevant and can be applied in the era of Society 5.0, and technology can be used to improve the quality of human life in line with the values of Pancasila.
Provincial parties in the 2023 legislative elections in Ecuador
Authors: Dandoy Régis
Published: May 2024

A significant portion of political parties competing in the 2023 legislative elections in Ecuador can be considered as provincial parties, i.e., as parties that compete and obtain votes in only one province. Provincial parties have a large impact on both national and sub-national politics and are capable of attracting important vote shares. Based on an empirical analysis of all political parties competing for the provincial seats in the Ecuadorian legislative elections of 2017-2023, this article aims at understanding the electoral performance of provincial parties. It observes that – compared to national parties – provincial parties receive an electoral bonus in legislative elections. This is particularly true for provincial parties participating to alliance with at least one national party, indicating that national parties have in interest in forging alliances with provincial parties. The article concludes by calling for further research on provincial parties in Ecuador, and in particular their ideology and electoral strategies.
Perencanaan Kebutuhan Sarana Dan Prasarana Pendidikan Di MTS SA Assanadiyah Palembang
Authors: Annur Saipul , Witahanriani Witahanriani , Ibrahim Ibrahim
Published: May 2024

Penelitian ini berjudul Perencanaan Kebutuhan Sarana dan Prasarana Pendidikan di MTs SA Assanadiyah Palembang. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dengan menggunakan pendekatan deskriftif kualitatif. Teknik pengumpulan data melalui wawancara, observasi dan dokumentasi. Informan penelitian dalam penelitian ini yaitu kepala madrasah, waka sapras, guru dan staf tata usaha. Teknik yang digunakan dalam analisis data kualitatif yang terdiri dari reduksi data, penyajian data dan selanjutnya dilakukan penarikan kesimpulan/verifikasi. Adapun triangulasi dalam penelitian ini yaitu menggunakan triangulasi sumber, triangulasi teknik, dan triangulasi waktu. Hasil penelitian ini menunjukkan bahwasanya perencanaan kebutuhan sarana dan prasarana pendidikan di MTs SA Assanadiyah cukup baik melalui beberapa indikator, yaitu identifikasi dan analisi kebutuhan sekolah, menginventarisasi sarana dan prasarana yang ada, mengadakan seleksi, dan sumber anggaran/dana. Selanjutnya upaya yang dilakukan dalam perencanaan kebutuhan sarana dan prasarana pendidikan yaitu dengan membuat kebijakan, serta menyusun dan mengajukan proposal kepada pihak swasta maupun pemerintah, terdapat juga kendala yang menghambat dalam perencanaan kebutuhan sarana dan prasarana, kendala tersebut yaitu keterbatasan sumber daya manusia, dan keterbatasan dana yang dimiliki sekolah.
STUDENT ATTENDANCE SYSTEM USING QR CODE
Authors: Shrivastava Rangoli
Published: May 2024

The Student Attendance System by QR Scan offers a modern and efficient method for tracking attendance in educational settings. Traditional manual attendance methods are often time-consuming and susceptible to errors, creating administrative challenges for both teachers and administrators. This system employs QR scanning technology to automate attendance recording and improve accuracy. It consists of three key components: QR code generation, scanning, and data management. By utilizing barcode scanning technology, the system swiftly and precisely captures attendance data, eliminating the need for manual records and minimizing human error. The Student Attendance System by QR Scan not only streamlines attendance management but also enhances student engagement and accountability. By automating this process, educators can dedicate more time to teaching, while students benefit from an accurate and efficient record-keeping system.
EXPLORING THE POTENTIAL OF RICE HUSK ASH AS CEMENT AND COCONUT SHELL AS COARSE AGGREGATE WITH LIMITED REPLACEMENTS IN M30 GC
Authors:   Department of Civil Engineering & Dr. K. V. Subba Reddy Institute of Technology
Published: May 2024

As we know that so many wastes which can be used in traditional concrete like E- wastes, biomedical wastes, Agricultural wastes etc. Coconut casing and rice husk ash are also the key waste which is easily and plenty available in home needs and that can be used in usual concrete. This coconut shell can be trampled and used as a coarse aggregate in production of concrete. Coconut shell material could be used in rural areas and places where coconut is plentiful and may also be used where the usual aggregate is costly. Rice husk ash is a waste from rice manufacturing factories and it is a good combination of replacement of cement which has same properties. The elevated cost of usual construction material affects the financial system of structure. It is becoming more difficult to find natural resources. Use of waste material not only helps in getting them utilized in cement, concrete and construction materials but also has several indirect benefits such as diminution in landfill cost savings in energy and defending the environment from feasible pollution effects. The Coconut Shells(CS) were taken on constant 5% with replacement of coarse aggregate and Rice Husk Ash(RHA) were taken on 0%, 4%, 8%, 12%, 16%, 20% & 24% with limited replacement of cement on M30 Grade of Concrete(GC). It is used to compare the results of compressive strength, split tensile strength, flexural strength of concrete. Its utilization is cost effective and eco-friendly. Key Words: Coconut shells (CS), Rice husk ash (RHA), Coarse aggregate, Fine aggregate, Cement, M30 GC.
Los efectos procesales expansivos en la condena solidaria a las empresas.
Authors: Martínez Moya Juan
Published: May 2024

Dos empresas fueron condenadas, solidariamente, en la sentencia de instancia al abono de salarios al trabajador. Solo una empresa recurre en suplicación la condena. El recurso de suplicación es estimado por la Sala de lo Social del Tribunal Superior, y absuelve a la empresa recurrente pero no a la empresa que no recurrió. La empresa que no recurrió en suplicación es ahora la parte recurrente ante el Tribunal Supremo en casación para unificación de doctrina. El Alto Tribunal, tras admitir la existencia de contradicción y entender que concurre gravamen para recurrir, decide que en los supuestos de solidaridad pasiva la actuación procesal de la empresa que recurrió en suplicación beneficia al otro deudor solidario que no lo hizo pero que ahora es la empresa que recurre en casación.

Deux entreprises ont été condamnées conjointement par le tribunal de première instance à verser les salaires du travailleur. Une seule entreprise fait appel de la condamnation. L'appel est accueilli par la Chambre sociale de la Cour supérieure et absout l'entreprise appelante mais non l'entreprise qui n'a pas interjeté appel. L'entreprise qui n'a pas fait appel est désormais appelante devant la Cour suprême en cassation pour unification de doctrine. La Haute Cour, après avoir admis l'existence d'une contradiction et compris qu'il existe un droit de recours, décide qu'en cas de solidarité passive, l'action procédurale de la société qui s'est pourvu en supplication profite à l'autre débiteur solidaire (la société qui se pourvoit en cassation).
El registro de jornada no es instrumento hábil para modificar condiciones laborales o desconocer derechos.
Authors: Cavas Martínez Faustino
Published: May 2024

Si de pactos colectivos previos se desprende que la pausa por desayuno que no exceda de veinte minutos y los marcajes de entrada efectuados en los quince minutos posteriores a la hora de inicio de la jornada tienen la consideración de tiempo efectivo de trabajo, la implantación en la empresa de un registro horario que refleja el dato real del momento en que se produce el ingreso no impide considerar que el trabajador que ha fichado la entrada en los quince minutos posteriores a hora de entrada oficial ha sido puntual.

If it appears from previous collective agreements that the breakfast break that does not exceed twenty minutes and the clocking-in carried out within fifteen minutes after the start of the day are considered effective working time, the supervening implementation in the company of a time registration system that reflects the actual data of the time of entry does not prevent the worker who has clocked in within fifteen minutes of the official entry time from being considered to have been punctual.
Composición de la comisión de seguimiento de un acuerdo colectivo en un ERE. Inexistencia de vulneración del derecho de libertad sindical por exclusión del no firmante.
Authors: Vila Tierno Francisco A.
Published: May 2024

En la resolución judicial objeto de comentario se cuestiona si se produce una vulneración del derecho a la libertad sindical de un sindicato, cuya sección sindical no firmó el acuerdo alcanzado en ERE y fue excluido de su comisión de seguimiento. Se llega a la conclusión de que no se vulnera su libertad sindical porque la comisión ejerce funciones de interpretación del acuerdo y, en este punto, resulta esencial la posible revisión de los hechos probados.

Nella decisione giudiziaria in questione, ci si chiede se vi sia una violazione del diritto alla libertà sindacale di un sindacato, la cui sezione sindacale non ha firmato l'accordo raggiunto nell'ERE ed è stata esclusa dal suo comitato di controllo. Si conclude che non vi è alcuna violazione della loro libertà sindacale perché il comitato esercita funzioni di interpretazione dell'accordo e, su questo punto, l'eventuale revisione dei fatti provati è essenziale.
Predicting Coronary Artery Disease Using Machine Learning
Authors: Raj Dahal Keshab , Raj Pokhrel Nawa , Subedi Pramesh , Gaire Santosh , Bhandari Ramesh , Dahal Mimansa , Giwa Modesola
Published: May 2024

Developing a predictive model for detecting Coronary Artery Disease (CAD) is crucial due to its high global fatality rate of approximately 17.9 million people annually. With the advancements in artificial intelligence, the availability of large-scale data, and increased access to computational capability, it is feasible to create robust models that can detect CAD with high precision. This study aims to build a predictive model that can assist health workers in the timely detection of CAD and ultimately reduce mortality. This study performs a comparative analysis of four supervised classification machine learning algorithms- Logistic regression (LR), Support vector machine (SVM), Extreme gradient boosting (XGBoost), and Artificial neural network (ANN),  in predicting the case-control status of the patient. Chi-squared and lasso criteria are employed to select the most relevant ones from the available features. The performance of the employed models is compared using sensitivity, specificity, accuracy, and the area under the receiver operating characteristic (ROC) curve (AUC).
The experimental results indicate that the LR model is the most effective and accurate among the models tested, and its implementation can improve the detection of CAD in clinical settings.