bluuebunny/crossref_metadata_2025 huggingface dataset:
Eficácia do mavacamten no tratamento da cardiomiopatia hipertrófica: uma revisão integrativa
Authors: Bittencourt Vera Laura Andrade , Inocêncio Mariana Lima de Morais , Melo Neto José de Oliveira , Gusmão Jady Almeida de Melo , Pires Larissa Di Paula Souza , Torres Maria Beatriz Guimarães , Santos Júnior Márcio Daniel Nunes dos , Silva Aline Scalzer , Santos Edna de Souza Alves , Lima Sara Carolline Gomes de Araujo , Alves Júnior Josivaldo de Araújo , Conde Caio Belo Coêlho , Nobre Paulo Vytor Cardoso
Published: June 2024

Introdução: O mavacamten é uma terapêutica inovadora no manejo da cardiomiopatia hipertrófica (CMH), uma condição genética caracterizada pelo espessamento anormal do músculo cardíaco, que pode levar a uma variedade de sintomas, incluindo dispneia, dor torácica e, em casos graves, morte súbita cardíaca.  Objetivo: avaliar os efeitos do mavacamten no tratamento da cardiomiopatia hipertrófica. Métodos: Consiste em uma revisão integrativa realizada através das bases Scopus, PubMed® e SciELO, utilizando os descritores mavacamten, cardiomiopatia hipertrófica e tratamento. Foram incluídos estudos publicados nos últimos oito anos, em idioma inglês, espanhol ou português, que abordassem a temática. Resultados e discussões: Evidências mostram que mavacamten melhora a classe funcional NYHA, pontuações KCCQ-CSS, gradiente de VSVE pós-exercício e IMVE, com aumento moderado em eventos adversos, mas sem diferenças significativas em eventos adversos graves ou suspensão do tratamento. O mavacamten pode reduzir a necessidade de procedimentos invasivos como a SRT, oferecendo alívio sintomático eficaz para CMH. Conclusão: Os dados sugerem que o mavacamten pode melhorar significativamente os desfechos clínicos em pacientes com CMH, além de não apresentar associação com eventos adversos graves relevantes.
A produção do conhecimento gerado por pofessores do ensino presencial mediado por tecnologia (EPMT), em educação física da Universidade do Estado do Amazonas (UEA), de 2018 a 2022
Authors: Gama Matheus Moraes , Guimarães Lucas Galvão , Ferst Nilton Cesar , Amaral Sheila Moura do
Published: June 2024

Na Universidade do Estado do Amazonas (UEA), o curso de Educação Física foi oferecido pela primeira vez em 2008, na modalidade de Ensino Presencial Mediado por Tecnologia (EPMT), de acordo com a Resolução nº 014/2007-CONSUNIV. Atualmente, o curso é regulamentado pela Resolução nº 46/2018-CONSUNIV/UEA/2018, conforme descrito no Projeto Político Pedagógico (PPC), e é oferecido na forma de licenciatura, via Ensino Presencial Mediado por Tecnologia (EPMT). Este estudo de caso tem como objetivo investigar a produção de conhecimento dos professores assistentes do curso EPMT em Educação Física da UEA. A pesquisa possui um caráter exploratório descritivo e utiliza a análise documental como método de coleta de dados. Os critérios de inclusão na pesquisa são baseados na participação dos professores assistentes que trabalharam no curso EPMT, identificados por meio dos editais dos processos seletivos do curso de Educação Física da UEA entre 2018 e 2022. Na primeira fase da pesquisa, foram identificados os docentes que ingressaram como tutores em EPMT de Educação Física por meio de processo seletivo. Em seguida, foram analisados os currículos Lattes de todos os selecionados para verificar sua formação, incluindo pós-graduação lato sensu, mestrado e doutorado. Por fim, foi realizado um levantamento das produções científicas no período de 2018 a 2022. A pesquisa identificou os respectivos professores, destacando suas formações e percurso acadêmico, além de analisar as temáticas das produções, revelando que 47% delas abordavam temas regionais e 53% tratavam de temáticas gerais, contribuindo para o avanço científico na área da educação física.
Use of the Material Point Method (Mpm) for Hipotetical Rupture Analysis of a Tailing Pile
Authors: Maciel José Thiago da Silva , Souza Tiago de Jesus , Querelli André
Published: June 2024

Pensando em um uso sustentável de água, e considerando o compromisso com a segurança de estruturas de disposição de rejeitos, a construção de pilhas de rejeitos tem se tornado uma alternativa vantajosa em relação às barragens convencionais, considerando os acidentes envolvendo este tipo de estrutura. Dessa forma, este estudo apresenta simulações numéricas 2D focadas em uma pilha de rejeitos, visando simular uma ruptura hipotética e determinar a extensão da massa rompida usando o método do ponto material (MPM) para este tipo de obra. Uma metodologia padrão foi definida para analisar rupturas hipotéticas em taludes de pilhas, considerando diferentes fases do projeto. O nível de detalhamento necessário em cada fase (viabilidade, conceitual e básica) foi estabelecido, juntamente com a forma apropriada de apresentar os resultados, incluindo a identificação de zonas de risco e o mapeamento das estruturas afetadas. Este estudo oferece uma abordagem abrangente para analisar potenciais rupturas, contribuindo para a compreensão dos impactos e riscos associados à obra em questão.
Ứng xử của kết cấu ngầm bê tông cốt thép (btct) nguyên khối chịu tác dụng của tải trọng nổ trong môi trường đất sét lẫn đá hộc
Authors: Trần Văn Hùng , Hà Đức Bình
Published: June 2024

Quá trình hình thành sóng nén tác dụng lên kết cấu khi nổ trong môi trường đất đá khôngđồng nhất tương đối phức tạp. Tuy nhiên dưới sự hỗ trợ của máy tính và các phần mềm tính toánchuyên dụng, quá trình đó sẽ được mô phỏng và tính toán dễ dàng hơn. Bài báo đánh giá ứng xử củakết cấu BTCT nguyên khối chịu tải trọng nổ trong môi trường đất sét đồng nhất và môi trường đất sétkhông đồng nhất có lẫn đá hộc. Nội dung này hiện chưa có bài nghiên cứu và mô hình hoá nào. Nghiêncứu này sử dụng mô hình vật liệu của G.R Johnson và T. J. Holmquist [1] để mô hình hoá vật liệu giònnhư bê tông và đá, mô hình đàn dẻo lý tưởng Mohr-Coulomb được sử dụng để mô hình hoá mô trườngđất. Phương trình trạng thái “Jones-Wilkins-Lee” (JWL equation of state) được sử dụng để tính toánáp lực nổ do bom đạn gây ra. Các mô phỏng được thực hiện trên phần mềm ABAQUS 2022 và sửdụng phương pháp kết hợp Coupled Eulerian - Lagrangian (CEL) để thu được kết quả. Nội dungnghiên cứu cho thấy rõ khả năng giảm áp lực của sóng nén lên kết cấu ngầm BTCT khi chèn lẫn đáhộc xung quanh kết cấu trong quá trình san lấp bên ngoài.
PENGARUH ELEMEN FISIK BANGUNAN UNIVERSITAS NEGERI MANADO
Authors: Attaufiq Muhammad Muhdi , Katuuk AL Grace , Harimu Threesje A. N. , Lombok Claudia Irene , Rahman Misran
Published: June 2024

Elemen fisik sebagai pembentuk dari bangunan  memiliki  peranan  penting  dalam  menciptakan  kesan nyaman baik secara  termal  maupun visual.  Desain fisik bangunan  mampu memberikan pengaruh terhadap aktivitas di dalam bangunan. salh satunya adalah penerapan elemen fisik dalam menunjang kenyamanan termal. Berbagai tulisan tentang elemen fisik bangunan termasuk pengaruhnya terhadap kenyamanan penggunan bangunan. Penelitian ini bertujuan untuk meninjau pengaruh elemen fisik bangunan terhadap aktivitas dan kenyamanan pengguna di lingkungan  Universitas Negeri  Manado. Penelitian  ini dilakukan dengan mengambil dua fakultas yakni fakultas teknik dan fakultas ilmu pendidikan dan psikologi. Dengan menggunakan  metode  observasi yakni pengumpulan data dengan pengamatan terhadap kondisi fisik yakni: i) Atap, ii) Bukaan, iii) Dinding/Fasad, iv) Lantai, v) Lingkungan Luar, hingga pengukuran suhu dengan menggunakan termometer pada waktu siang hari. Berdasarkan hasil yang kemudian di komparasikan dengan pendapat ahli, dapat disimpulkan bahwa kondisi fisik bangunan berpengaruh kenyamanan penghuni. Secara umum kondisi bangunan dalam kondisi nyaman sehingga menjadi rekomendasi terhadap fisik bangunan.
Microplastics exposure altered hematological and lipid profiles as well as liver and kidney function parameters in albino rats (Rattus norvegicus)
Authors: Yahaya Tajudeen Olanrewaju , Ibrahim Abdulgafar Bala , Kalgo Abdulrahman Sani , Adewale Mutiyat Kehinde , Emmanuela Chikelu Chinelo , Abdulkadir Baliqees , Fari Adamu Zainab , Attahiru Asiya Koko , Saadatu Abdullahi , Wanda Joseph Dahali
Published: June 2024

The global occurrence of microplastics and their poorly understood health implications underscore the need for scientific investigation. This study aimed to assess the effects of microplastics exposure. Twenty-five (25) albino rats (Rattus norvegicus) were divided into five (5) groups, each consisting of five rats. Group 1 (the negative control) received normal feed; group 2 (the positive control) was administered a 10 % lead acetate solution; and groups 3, 4, and 5 were administered 1 %, 5 %, and 10 % microplastic solutions, respectively. The rats were monitored for 28 days, after which blood samples were taken for hematological and lipid profiles as well as liver and kidney function parameters. The results revealed dose-dependent significant (p < 0.05) alterations in the health indices of the treated rats and the positive control compared with the negative control. Specifically, the hematological parameters, including the white blood cells (WBC) and its subtypes, were reduced, indicating immunosuppressive effects, and the red blood cells (RBC), hemoglobin (HGB), hematocrit (HCT), platelets, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) were reduced, indicating anemia. The 1 % and 5 % microplastic solutions raised the lipid profiles of the treated rats, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), while the 10 % concentration decreased them, causing hyperlipidemia and hypolipidemia, respectively. The liver function parameters, including total protein (TP), albumin (ALB), aspartate transaminase (AST), alanine transaminase (ALT), and alkaline phosphatase (ALP), were elevated, indicating liver damage. Elevation of kidney function parameters, including sodium ion (Na+), potassium ion (K+), chloride ion (Cl-), urea, and creatinine (CRT), were noticed, suggesting kidney injuries. It can be inferred from these results that microplastics are toxic. Hence, human exposure to microplastics should be reduced to a minimum.
Factors of Local Community Participation in Tourism-Related Business in Kuala Terengganu, Malaysia
Authors: Mokhtarulbari Nor Fazlina , Mhd Rashid Munira
Published: June 2024

Tourism development has enabled the involvement of local communities, particularly in tourism-related business. Community involvement can improve the socio-economic status of the locals, especially in removing them from the clutches of poverty. Recognizing the importance of community involvement, this study attempts to measure the level of local participation in tourism-related business and identify the factors that stimulate community involvement in tourism-related business. A quantitative method of survey questionnaire was employed for data collection on the tourism-related micro and small enterprises in Kuala Terengganu. The study employed a purposive sampling method, obtaining responses from 113 tourism-related businesses across various categories, including accommodation, amenities, attractions, accessibility, and activities. The study used descriptive analysis, multiple regression and mean analysis. The result of the study reveals a high level of local community participation in tourism-related business in Kuala Terengganu, and encouragement from family was found as the most significant factor for participation. This study contributes to the body of knowledge on tourism-related business in suburban areas. The findings of the study will be useful for the tourism and authority stakeholders in the planning to promote participation of the local community in the tourism industry through involvement in business.
Environmental, Social and Governance (ESG) and Financial Performance: A Bibliometric Analysis using Biblioshiny
Authors: Debnath Prashant , Chellasamy P.
Published: June 2024

This study conducts a bibliometric analysis of the relationship between ESG (Environmental, Social, and Governance) factors and financial performance. The purpose is to gather bibliometric data on citations, scientific publications, authors, sources, affiliations, contributions from different nations, keywords, trending aspects, and potential future research fields. The study collects data from the Scopus research database covering the period from 2013 to 20th May 2023. Biblioshiny in R Studio is used for data evaluation. The analysis includes annual publication output, average citations, influential authors and institutions, commonly used keywords, and country-wise research output. The analysis reveals a consistent and growing interest in ESG and financial performance research, with a significant increase in scientific articles over time. Earlier publications have higher average citations, indicating their impact, while recent ones show lower citation rates. Key focal points include "financial performance" and "ESG." Noteworthy institutions such as the University of Zaragoza, Nord University, New York University, and the Journal of Sustainable Finance and Investment demonstrate high overall impact. The study emphasizes the ongoing research interest in the relationship between financial performance and ESG and the growing importance of sustainability and corporate social responsibility in corporate practices. The findings indicate a recent emphasis on ESG, financial performance, CSR, sustainability, and corporate governance within environmental studies.
İLHANLILARDA KOMUTANLIKTAN KÜREGENLİĞE EMİR HÜSEYİN
Authors: Coşkun Derya
Published: June 2024

Türkçede güveyi anlamına gelen Küregen kelimesi, Moğollar zamanında Cengiz soyundan gelen Moğol prensesleriyle evlenen kişiler için kullanılan bir unvan olarak karşımıza çıkmaktadır. Gerek Moğol gerekse Timur döneminde sık rastlanılan bu unvan, küregen olan kişilere devlet idaresinde belirli imtiyazlar sağlamıştır. Böylece siyasi bir kimlik kazanan Küregen unvanı, özellikle Moğollarda belirgin bir güç olarak kullanılmıştır. Bu konuda en dikkat çeken isimlerden biri hiç şüphesiz Celâyirli Emir Hüseyin’dir. Onu diğer küregenlerden ayıran bazı durumlar söz konusudur. Bunlardan ilkini sırasıyla Gazan Han, Olcaytu Han ve Ebu Said Bahadır Han olmak üzere üç farklı hükümdar döneminde çeşitli hizmetlerde bulunmuş olması oluşturmaktadır. Diğer bir özellik ise Moğol tarihinde ilk defa bir emirin Horasan’ın yönetimine getirilmesi durumudur. Zira Horasan ikinci hükümdarlık merkezi olması hasebiyle genellikle şehzadeler tarafından idare edilen bir bölgedir. Fakat bu durum Emir Hüseyin’le beraber değişmiş, Horasan’ın idaresi ilk defa bir emire bırakılmıştır. Bu bağlamda makale, Emir Hüseyin’in İlhanlılarda komutanlıktan küregenliğe hayatını ve Hanlar dönemi siyasi faaliyetlerini konu edinecektir.
ORTA ÇAĞ’DA BİR TİCARİ KRİZ: BULGAR PAZARI SORUNU (894-897)
Authors: Akar Kaan
Published: June 2024

Boris Han’ın 852 yılında Tuna Bulgar Devleti tahtına çıkmasının ardından iktidarının ilk 10 yılında Doğu Roma ve Frank İmparatorluklarına karşı sürdürdüğü savaşlar devletinin insan ve maddi kaynaklarını tüketmeye başlamış ancak buna karşılık istenen başarılar elde edilememiştir. Askeri alanda sonuçsuz kalan uğraşlara ek olarak sosyal olarak da sancılı bir süreçten geçen Tuna Bulgar Devleti aynı zamanda gayrı resmi olarak Hristiyanlaşma ve Slavlaşma tehdidi altında bulunmaktadır. Bulgarların Doğu Roma İmparatorluğunun askeri baskısına da maruz kalması Boris Han’ı radikal bir karar vererek Hristiyanlığa girmeye zorlamıştır. Bu doğrultuda Boris Han 865 yılında Doğu Roma İmparatoru III. Michael’ın vaftiz babalığında oğlu Simeon ile birlikte vaftiz olarak Hristiyanlık dinine girmiş ve devletinin de bir Hristiyan devleti olduğunu açıklamıştır, bu aslında malumun da ilandır. Boris Han ile birlikte vaftiz edilen oğul Simeon da 10 yaşlarına gelmeden eğitim alması amacıyla gerçek anlamda ise dönemde oldukça sık uygulanan bir gelenek olan “soylu rehine” vasfıyla İstanbul’a gönderilmiştir. Simeon 888 yılında babasının çağrısı ile Tuna Bulgar topraklarına geri dönmüştür. Çalışmamızda Simeon ’un babası ve ağabeyi Vladimir’in ardından 893 yılında Tuna Bulgar Devleti hükümdarı olmasının bir yıl sonrasında başlayan ve “pazar sorunu” sebebiyle bir ticaret savaşı hüviyetinde olan Bulgarafigon savaşına giden süreç ve dönemdeki Bulgar¬-Doğu Roma siyaseti konu edilecektir.
Augmented reality in surgery: improving precision and reducing risk
Authors: Robaina Castillo Jose Ignacio
Published: June 2024

Introduction: augmented reality is applied in different spheres and provides broad possibilities as educational technology, it is a way to interact with physical reality in real time, having multiple applications in the field of medicine.
Objective: characterize the application of augmented reality in the field of surgery.
Method: a review of the available literature was carried out using synthetic and historical-logical analytical methods using articles recovered from databases such as SciELO, Dialnet, Scopus, Researchgate, recovering a total of 15 reference articles from available literature related to the topic. in question, included in the time frame between 2018 and 2024.
Results: augmented reality can be used as a tool to facilitate the visual positioning of surgeons in the intervention of minimally invasive surgeries given the continuous evolution of medicine towards minimally invasive treatments, computing is increasingly present. Augmented reality (AR) in medicine facilitates the preparation and development of surgical operations, plays a very significant educational role, is characterized by being a cognitive process with which one learns at the same time as performing the activity, improves training surgical and effectiveness.
Conclusions: currently and in the future, augmented reality constitutes a necessary tool for preclinical training, due to its application in different fields of medicine, including surgery, guiding this technology to improve clinical and surgical capabilities of professionals.
Augmented reality as an accessory technology in surgery
Authors: Rodríguez-Pérez José Alejandro
Published: June 2024

Introduction: Augmented reality technology uses 3D reconstruction, visualization, registration and tracking techniques to create images from MRI data. It has three basic characteristics: combination of real and virtual worlds, real-time interaction and precise three-dimensional recording of virtual and real objects. The objective was to characterize AR as an accessory technology in surgery.
Method: a total of 22 articles in Spanish and English were reviewed, from Pubmed, Scielo and Scopus; using as keywords: augmented reality, surgery, virtual reality, being more than 50 % of the last five years.
Result: Although primarily used for training, this technique can be used for planning and navigation in the operating room; since the precision and complexity of the three-dimensional reconstructed images are crucial to providing the correct data in surgery. Its main advantage is the integration of sensations and real-time interaction of the doctor while its limitations include technological ones and those associated with the way of use by the staff. Medical education has benefited from the popularization of virtual reality as it reduces ethical conflicts and promotes self-learning.
Conclusions: augmented reality systems combine the preoperative model with the intraoperative scenario to project images in real time, ensuring better results in terms of time, error rate and precision. Despite this, its use is not globalized and the available bibliography on its validity is insufficient.
Systematic review on Augmented Reality in health education
Authors: Gómez Cano Carlos Alberto , Sánchez Castillo Verenice
Published: June 2024

Introduction: Augmented Reality is an innovative and promising tool for health education, which can improve the teaching-learning process and facilitate the development of professional competencies. Objective: to describe the findings on the applicability of AR in health education. Method: a systematic review was carried out using the PRISMA method, based on the search in databases related to health sciences, PubMed, Science Direct and Scopus, as well as Google Scholar. The aim was to answer the question: What results has the application of AR had in health education? Results: 15 articles that met the inclusion criteria were identified. Most of the studies were conducted in the context of medical education. The results showed that AR has a positive effect on learning, motivation, satisfaction, self-efficacy, confidence and transfer of knowledge and skills to practice. However, some limitations and challenges were also found, such as cost, availability, quality, safety and evaluation of the effectiveness of AR. Conclusions: the use of AR in health education reveals a diverse and promising scenario, but also poses important challenges and limitations that must be overcome to exploit the full potential of these emerging technologies.
Prompt lawyer: a challenge in the face of the integration of artificial intelligence and law
Authors: Romero-Carazas Rafael
Published: June 2024

Introduction: The implication of artificial intelligence in the framework of the exercise of law is framed in new forms or conceptual areas of its own professional actions.
Objective: to characterize the research published in Scopus regarding Prompt lawyer
Method: a bibliometric study was carried out. 41 documents located in the Scopus database referring to the research topic were studied as a universe, located through a search strategy. Bibliometric indicators were analyzed. Descriptive statistics were applied.
Results: The year 2020 stood out with the highest number of investigations (5 articles for 12,19 %). Original articles predominated with 26 investigations equivalent to 63,41 %. Research related to the social sciences stood out (26 works; 48 %). Among the institutions with the greatest scientific contribution, the University of Cambridge (United Kingdom), McGuireWoods LLP (United States) and Stevens and Lee Health Law Department (United States) stood out with two investigations respectively (4,87 %). The articles from the United States stood out with 17 investigations equivalent to 41,46 %.
Conclusions: the use and use of Prompt lawyer shows constant and gradual growth, based on research with results. At the same time, it diversifies into different thematic areas, with representation from the main centers and countries with the greatest research trends.
Gamification in personal health management: a focus on mobile apps
Authors: Auza-Santiváñez Jhossmar Cristians , Carías Díaz José Alejandro , Vedia Cruz Oscar Angel , Robles-Nina Sara Milca , Sánchez Escalante Carlos , Apaza Huanca Blas
Published: June 2024

This review article explores the concept and applications of gamification in personal health management, with a focus on mobile apps. Gamification is the use of game elements and techniques in non-game contexts to motivate and engage users in achieving certain goals or behaviors. Gamification has been applied to various domains of health, such as wellness, diet, exercise, chronic disease management, and mental health. The article discusses the benefits and challenges of gamification for health, as well as the theoretical frameworks and empirical evidence that support its effectiveness.
Epilepsy Web, a tool for learning content related to epilepsy in pediatrics
Authors: Moreno Cubela Fidel Jesús , Escalona Zaldivar Niurka María , Figueredo Torres Yordanis R. , Garrido Benítez Katherine de la Caridad , Marzo Torres Arnaldo , Vegas Torres Nabia Isabel
Published: June 2024

Introduction: epilepsy is a recurrent neurological disease that is part of the curriculum of Medical Sciences students in Pediatrics. It appears as a complex module even for professionals.
Objective: to create a website on epilepsy in Pediatrics as a reference tool that compiles in a didactic way contents according to the syllabus of the Medicine course.
Method: a development study was carried out at the University of Medical Sciences of Granma, from February 2023 to July 2023. For the evaluation of the elaborated web page, users' criteria were taken into account through a survey. The data were processed in a computerized way using descriptive statistics.
Results: the acceptance of the product by users and computer experts was high, rating it 98.9 %, 100 % and 90 % as very adequate.
Conclusions: a web site on epilepsy in Pediatrics was created, which from the didactic requirements constitutes a useful tool for the medical student.
Real-time number plate detection using AI and ML
Authors: Swathi Patakamudi , Sai Tejaswi Dara , Amanulla Khan Mohammad , Saishree Miriyala , Babu Rachapudi Venu , Kumar Anguraj Dinesh
Published: June 2024

The abstract presents a research study focusing on real-time license plate verification, a key feature of electronic systems that operate by rapidly identifying and removing identification numbers from vehicle registration in a dynamic global environment. The research leverages the combination of artificial intelligence (AI) and machine learning (ML) techniques, specifically the integration of region-based convolutional neural networks (RCNN) and advanced RCNN algorithms, to create a powerful and readily available system. In terms of methods, this research optimizes algorithm performance and deploys the system in a cloud-based environment to improve accessibility and scalability. Through careful design and optimization, the proposed system has achieved a consistent result in license recognition, as evident from the well-accounted evaluation of performance, including precision, recall, and computational efficiency. The results demonstrate the efficiency and usability of this system   in a real installation and promise to revolutionize automatic vehicle identification. Finally, the integration of artificial intelligence and machine learning technology into real-time license plate recognition signifies changes in traffic management, assessment safety and   smart city plans. Therefore, interdisciplinary collaboration and continuous innovation are crucial to shaping a sustainable and balanced future for intelligent transportation systems.
A research on a music recommendation system based on facial expressions through deep learning mechanisms
Authors: Swathi Patakamudi , Sai Tejaswi Dara , Amanulla Khan Mohammad , Saishree Miriyala , Babu Rachapudi Venu , Kumar Anguraj Dinesh
Published: June 2024

In this study, we propose a new music recommendation system (MRS) that combines facial expression recognition technology and deep learning algorithms to respond to the changing music industry environment and provide personalized music recommendations based on the user's emotional state. Our approach includes a thorough study of facial expression recognition, emotion-based music recommendation systems, and deep learning engines, as well as a detailed presentation of the MRS design, system architecture, and deep learning engines used. Through extensive experiments, we evaluate MRS's ability to accurately recognize facial expressions, filter music based on emotional states, and effectively recommend music to users. We analyze the results of follow-up experiments to identify the strengths and limitations of MRS compared to existing approaches, and conduct a comparative study with the latest music recommendation systems based on deep learning and emotion. This comparison highlights the originality and potential of the proposed MRS system to improve user experience and promote the development of artificial intelligence-based music recommendation systems. This study demonstrates the problem of accurately determining a user's emotional state from facial expressions, which requires the integration of facial expression recognition systems, deep learning, and music recommendation systems. Using advanced deep learning techniques and a comprehensive experimental setup, the proposed MRS provides a solution to this problem by facilitating accurate emotional state identification and personalized music recommendations. Overall, MRS represents a powerful and innovative response to the growing demand for accurate and reliable music recommendations and shows significant potential for future collaboration and development of AI-based music recommendation systems.
Mesenteric polycystic lymphangiomatosis in a pediatric patient. Case report
Authors: Callizaya Macedo Giovanni , Auza-Santivañez Jhossmar Cristians , Cussi Quitihuari Evely Rocio , Vallejos Rejas Daniel Ramiro Elías , Antezana-Muñoz Jose Bernardo , Zurita Villazón Magaly
Published: June 2024

Introduction: Mesenteric polycystic lymphangiomas are rare cystic tumors, with a 5% incidence compared to their incidence in the neck and axillae (95%), seen more frequently in pediatric patients, rare in patients over 20 years of age.Clinical case: A 3-year-old male patient presents with a clinical picture of one day of evolution, reporting abdominal pain of moderate intensity, temperature rises and vomiting. Physical findings show abdominal distension, with ultrasound showing a polycystic lesion, and contrast-enhanced tomography corroborating a lobulated multi-separated cystic formation. Exploratory laparotomy revealed a polycystic tumor at the level of the ileum mesentery. The anatomopathological study describes a polycystic mesenteric lesion. Exeresis is performed and the postoperative evolution is satisfactory.Conclusions: Polycystic mesenteric lymphangiomatosis is a rare tumor that mainly affects the mesentery of the small intestine and/or colon. In pediatric age, this condition should be considered as a differential diagnosis of acute abdomen. Conventional or laparoscopic surgery is the cornerstone of treatment
Association between levodopa administration and melanoma: A systematic review
Authors: Luparelli Mello Fernanda , Estrin Marcelo Adrian
Published: June 2024

Introduction: Parkinson's disease (PD) is a neurodegenerative disease and levodopa is the main drug used in the treatment of this disease. A study conducted in Denmark demonstrated a two-fold higher incidence of malignant melanoma in patients with Parkinson's, but no correlation was found between levodopa treatment and this incidence. Material and methods: The present systematic review used search engines such as pubmed and Google academic to search for articles of the clinical and randomized trial type. Results: The results of the systematic review indicate a complexity in the relationship between levodopa administration, Parkinson's disease, and melanoma risk. The evidence reviewed suggests that levodopa does not appear to be a significant causal factor in the development of melanoma in patients with Parkinson's disease. Despite the problems raised, the well-established therapeutic benefits of levodopa in the management of the symptoms of Parkinson's disease continue to outweigh the potential risk of causing melanoma. Conclusion: The study concludes that there is an increased risk of developing melanoma in patients with Parkinson's disease but that there is no evidence of a causal role of levodopa in increasing this risk or accelerating its growth
Duration and effect of new formulation of botulinum toxin type a, daxibotulinumtoxina on glabellar lines: Systematic review
Authors: Pérez Zambrano Valeria Estefanía , Estrin Marcelo Adrián
Published: June 2024

Background: "DaxibotulinumtoxinA (DAXI), an injectable formulation of botulinumtoxintype A, iscurrently underclinical development for treating glabellarlines, as well as various neurological and musculoskeletal conditions. This review under scores the significance of the know ledge that medical profesional spossess in enhancing the quality of specific anatomical relationships related to the reduction of glabellar  lines and determining the irmosten during effects. Material and methods: The chosen methodology for this study is a systematic review and information collection. A manual search was conducted on online data bases, particularly PUBMED, using key Words such as "treatmentofglabellarlines" or "botulinumtoxin new formulation," with specific filters applied. Approximately 14 files were down loaded and organize during the Zotero program for propercitations and references. There search is supported by published and updated literatura that demonstrates the efficacy and duration of glabellar lines with the new formulation of Botulinum toxin, DaxibotulinumtoxinA. Results: Seven articles of the clinical trial or controlled randomized trial type were utilized. These articles, searched and filtered from various databases, collectively indicate that injectable DaxibotulinumtoxinA is a highly effective new formulation for treating glabellarlines. . Conclusion: Following the conducted search, it is evidente that DaxibotulinumtoxinA is avaluable option for a esthetically treating glabellar lines. How ever, it is a knowledged that further research is necessary to valídate its effectiveness compared to other convention altreatments and to assessits specific clinical applicability. Additionally, an evaluation of the elimitations and adverse effects associated with this new formulation is crucial
Challenges and Perspectives on Improving Heat and Drought Stress Resilience in Cotton
Authors: Dabbert Timothy , Gore Michael
Published: June 2024

Global climate change in the form of rising temperatures and increasingly variable rainfall patterns, along with heightened competition for scarce natural resources, potentially threatens the sustainability of cotton cropping systems. Thus, future cotton production is likely to occur under an increased prevalence of multiple abiotic stresses, including extreme and prolonged high temperatures and water deficits. Therefore, it is of increasing relevance that the combined effects of heat and drought stresses on cotton productivity are more comprehensively examined under field conditions. This article reviews the separate influences of heat and drought stress on cotton, outlines known effects of the combination of high temperature and water deficit on cotton and model plant species, discusses the genetic dissection of heat or drought stress tolerance traits in cotton, investigates the potential of field-based phenotyping methods for evaluating the response of cotton plants to heat and drought stresses, and, finally, offers perspectives on the development of stress-resilient cotton germplasm. Importantly, the integration of approaches from several disciplines is needed to allow cotton breeders to efficiently develop superior cultivars for optimal stress resilience in a farmer’s field.
Evaluation of Fusarium Wilt Resistance in Six Upland Cotton Germplasm Lines
Authors: Doan Hung , Davis Michael
Published: June 2024

Fusarium wilt of cotton, caused by the soilborne fungus Fusarium oxysporum f. sp. vasinfectum (FOV),is a widespread and devastating disease occurring in most cotton-growing regions of the world. The most successful strategy to manage Fusarium wilt is the use of resistant cultivars. Recently, two sources of germplasm, MD25-26ne and MD25-27, which have superior yield, fiber quality, and resistance against Fusarium wilt and root-knot nematodes (Meloidogyne spp.), were released. The purpose of this study was to evaluate the response of eight Upland cotton (including MD25-26ne and MD25-27) and two Pima cultivars (susceptible and resistant controls) against seven genotypes of FOV (races 1, 2, 3, 4, and 8 and genotypes LA108 and LA140) in a greenhouse trial. To inoculate plants, roots of 2-wk-old seedlings of each cultivar were dipped for 4 min in a conidial suspension (106 conidia/mL) of each FOV genotype. Based on dry shoot weights and extent of vascular discoloration; Phytogen 800 followed by MD25-26ne and MD25-27 were the most resistant cultivars against multiple genotypes of FOV. FOV race 4 caused mild symptoms on PHY 800, PHY 98M-2983, MD25-26ne, and MD25-27 but caused severe symptoms on DP 744 and Rowden. In addition, Rowden was highly susceptible to FOV races 1, 2, and 8 and LA108 and LA140. Phytogen elite lines PHY x1, PHY x2, and PHY x3 were moderately susceptible to multiple genotypes of FOV. These data indicate that PHY 800, MD25-26ne, and MD25-27 can be recommended for planting in fields with previous histories of Fusarium wilt and can be used in breeding programs as sources of resistance to Fusarium wilt.
Effects of Synthetic Hormones on Fertilization, Fecundity, Hatching and Gonado-Somatic Index of Giant Snakehead (Channa Marulius) in Captivity
Authors: Nazir Sadia , Khan Noor , Hussain Dilawar , Bano Sheeza , Batool Moazama , Asghar Muhammad , Ali Muhammad Adnan , Hussain Zahra , Ayesha Tanveer  , Davies Simon J.
Published: June 2024

The effects of a crude protein (40% CP) diet on the spawning performance of giant Snakehead (Channa marulius) broodstock were assessed in this study through a three-week feeding trial. Mature C. marulius brood stock (N = 36) was taken from the brooders pond and stocked into nine small experimental breeding ponds, each measuring 4mx2mx1.5m (LxWxD). Following acclimatization, all male and female C. marulius broodstock with an average weight of 1.5–2.5 kg BW and a length of 70 cm were removed from the small breeding ponds. The current study's objective was to induce breeding in C. marulius by injecting synthetic hormones intramuscularly and monitoring fertilization, fecundity, hatching, and gonado-somatic index. Using a completely randomized design (CRD), nine fishponds were split into three treatments (T1, T2, and T3) during the study period, each with three replicates. In addition to evaluating the effects of artificially applied hormones, Conceptal® (T1), Suprefact® (T2), and Ovaprim® (T3), this study aimed to comprehend the reproductive biology of C. marulius. The hormones were injected into the test fish at the following proportion (0.3ml, 0.4ml and 0.5ml to male and 0.8ml, 0.9ml and 1.0ml to female’s ml/kg body weight) and then released into the earthen ponds for large scale production of seed. Two-way analysis of variance (ANOVA) was used. The results showed no successful spawning on Conceptal®. The gonado-somatic index (GSI) estimates for the study period showed that Suprefact had the highest average GSI values for both males and females (3.32±1.62% and 1.67±0.18%, respectively), followed by Ovaprim (1.13±0.56 and 1.22±0.68, respectively). Absolute fecundity was also estimated. The result showed that fish stimulated with suprefact (T2) obtained the highest average fecundity (3079.3±100.7%), fertilization rate (96.33±1.20%), hatching rate (94.67±2.40%), and survival rate (95.75±1.51%), then in ovaprim fecundity rate (1669.3±836.5%), fertilization rate (58.00±29.02), hatching rate (61.27±30.65), survival rate (64.67±32.34%), respectively. In conclusion, the use of Suprefact® and Ovaprim® can optimise the results of C. marulius breeding induction in small experimental breeding ponds, ensuring higher-quality eggs and a greater number of normal larvae.
Patoloji Laboratuvarında Ünitelerin Planlaması ve Altyapı Gereksinimleri
Authors: Hüz Mustafa
Published: June 2024

Patoloji laboratuvarı ünite planlamasının, organizasyonun iş yapma biçimine, güvenliğine ve verimliliğine doğrudan etkisi olduğu söylemek mümkündür. Bu derlemeyle Patoloji laboratuvarındaki üniteler ve tesis içindeki konumu, fiziki gereksinim, güvenlik kuralları, verimlilik ve yalın laboratuvar perspektifiyle incelendi.
Patoloji laboratuvarları ünitelerinin organizasyon ve planlaması, geçmişten gelen bilgi birikimi ve tercihlerle şekillenmektedir. Ancak standartlar, güvenlik kuralları ve mimari gerekliliklerden oluşan evrensel gerçekler, laboratuvarın büyüklüğü veya işleyişi farklı da olsa ortaktır. Hizmet sürecinde insan kaynağı kadar bina ve tesis altyapısını da etkin ve verimli kullanmak organizasyonun iş yapma biçimine ve başarısına etki etmektedir.
Ünitelerin planlamasında değerlendirilecek veriler uluslararası kabulü olan kuruluşların dokümanları, ulusal standartlar ve mevzuat taranarak toplandı.
SAĞLIK ÇALIŞANLARININ MENTAL İYİ OLUŞ DÜZEYLERİNİN YAPAY ZEKA KAYGISI ÜZERİNDEKİ ETKİSİ
Authors: Filiz Mustafa , Karagöz Yalçın
Published: June 2024

Amaç: Bu çalışmada amaç, sağlık çalışanlarının mental iyi oluş algılarının, yapay zeka kaygı düzeyleri üzerindeki etkisini belirlemek ve çeşitli demografik değişkenlere göre farklılıkları ortaya koymaktır.
Yöntem: Araştırmanın örneklemini ankete gönüllü katılım sağlayan 426 sağlık çalışanı oluşturmaktadır. Veriler online olarak toplanmıştır. Veri toplama aracı olarak Warwick-Edinburgh mental iyi oluş ölçeği ve yapay zeka kaygı ölçeği kullanılmıştır. Verilerin analiz edilmesinde t testi, ANOVA testi ve çoklu regresyon analizi yapılmıştır.
Bulgular: Sağlık çalışanlarının, medeni durum, yaş ve cinsiyete göre iyi oluş ve yapay zeka kaygı düzeylerinin farklılık arz etmediği tespit edilmiştir. Sağlık çalışanlarının iyi oluş algılarının iyi düzeyde ve yapay zeka kaygı düzeylerinin ise ortalamanın üstünde olduğu görülmüştür. Son olarak sağlık çalışanlarının iyi oluş düzeyleri, yapay zeka kaygılarını %1 oranında açıkladığı belirlenmiştir.
Sonuç: Sonuç olarak sağlık çalışanlarının iyi oluş düzeylerinin yapay zeka kaygıları üzerinde etkisi olduğu, ancak bu etkinin çok düşük olduğu sonucuna varılmıştır. Yapay zeka kaygısı üzerinde başka değişkenlerin etkisinin araştırılmasının yararlı olacağı öngörülmektedir. Sağlık çalışanları, yoğun iş temposu, stres ve duygusal yükler gibi bir dizi zorluğa maruz kalan bir grup insanı temsil etmektedir. Bu nedenle, bu çalışma, bu önemli meslek grubunun psikolojik sağlığına odaklanarak, onların iyilik hallerini ve yapay zeka ile ilişkili kaygılarını anlamak için kritik bir adım olarak değerlendirilebilir. Ayrıca, yapay zeka teknolojisinin sağlık sektöründeki kullanımı giderek artmaktadır ve bu da sağlık çalışanlarının iş süreçlerinde önemli değişikliklere neden olmaktadır. Bu bağlamda, yapay zeka teknolojisinin sağlık çalışanlarının zihinsel refahı üzerindeki etkilerini anlamak, bu teknolojinin etkili ve sürdürülebilir bir şekilde uygulanması için kritik öneme sahiptir.
Applying Ventricular Wall Shape and Motion Features from CMRI for Aiding Diagnosis of Cardiomyopathies
Authors: Costa Stephani S. H. , Gonçalves Vagner Mendonça , Nunes Fátima L. S.
Published: June 2024

Cardiomyopathies are diseases usually characterized by dilation or hypertrophy of the heart muscle. Left Ventricle (LV) is the heart chamber most affected in most cases. Cardiac Cine Magnetic Resonance Imaging (CMRI) is a powerful tool applied for diagnosis of cardiomyopathies. Although some studies define descriptors based on CMRI images, usually they are related to clinical metrics. In this paper, we explored shape and motion features from the LV ventricular wall to define descriptors based on a priori knowledge about heart anomalies to build Supervised Machine Learning-based classification models capable of discriminating cases of dilated cardiomyopathy, hypertrophic cardiomyopathy, or those ones without anomalies associated with these diseases. The best classification model built and evaluated achieved F1-score = 0.85± 0.05, accuracy = 0.85± 0.04, and AUC = 0.94± 0.02. Our results are promising, indicating the potential of the approach for applications in computer-aided diagnosis systems.
Combinando Elasticidade Proativa e Reativa para Gestão Multi-Hospitalar de Recursos Humanos no Contexto das Cidades Inteligentes
Authors: Fischer Gabriel Souto , Righi Rodrigo da Rosa , Costa Cristiano André da , Roehrs Alex
Published: June 2024

A otimização da utilização de recursos em cidades inteligentes tem o potencial de melhorar o bem-estar dos cidadãos. Através do monitoramento contínuo da saúde das pessoas, é possível a identificação precoce de problemas médicos. No entanto, o problema dos hospitais superlotados persiste, conduzindo a longos períodos de espera para os pacientes que necessitam de tratamento. Trabalhos anteriores tentaram resolver esse problema, porém ainda existe a necessidade de uma solução que possa adequar de forma eficiente recursos humanos em múltiplos ambientes de saúde. Este trabalho apresenta o ElCareCity, um modelo focado em cidades inteligentes para monitorar o uso de ambientes de saúde pelos pacientes e adaptar a alocação de profissionais de saúde para atender às suas necessidades. ElCareCity introduz na literatura um algoritmo que combina abordagens de elasticidade reativa e proativa para alocar profissionais de saúde. O modelo foi avaliado por meio de emulações de uma cidade inteligente com quatro ambientes hospitalares e obteve resultados promissores que reduziram o tempo de espera por atendimento em até 86,8%.
Comparative Analysis of Detection Transformers and YOLOv8 for Early Detection of Pulmonary Nodules
Authors: Ferraz Victor , Oliveira Marcelo , Carvalho Nilson , Ferreira Tarcísio
Published: June 2024

Lung cancer (LC) is the second most prevalent type of cancer worldwide and the deadliest, accounting for one in every five cancer-related deaths globally. The chances of survival for patients detected with this type of cancer increase considerably when the diagnosis is made early, with the 5-year survival rate reaching up to 70%. Radiologists perform LC diagnosis through Computed Tomography (CT) images, but such diagnosis is a complex and error-prone task. Through computer-aided tools, this diagnostic process can be automated, reducing time and effort for specialists, as well as improving confidence in the diagnosis. The objective of this work was to evaluate and compare the effectiveness of Convolutional Neural Network (CNN) and Transformer architectures in detecting small lung nodules (≤15mm), where the guiding research question of this work was “What is the impact of the size of lung nodules on the detection accuracy of CNN and Transformer architectures?”. The dataset used was based on the public database LUNA16, filtering the test set to include only sections with nodules smaller than 15mm. The models chosen for our comparisons were YOLOv8, a CNN considered state-of-the-art in object detection, and DEtection TRansformer (DETR), which combines the transformer architecture with a CNN layer, where we obtained results such as mAP50 = 0.70, Sensitivity = 0.91 and Λ = 0.85 for the DETR and mAP50 = 0.90, Sensitivity = 0.83 and Λ = 0.77 for the YOLOv8. We also assessed the impact of nodule size on the performance of both models, where the performance of YOLOv8 was impacted by the decrease in nodules size, while DETR continued to show satisfactory results regardless of how small the nodules were.
On the Performance of Composite 1D-to-2D Projections for Signal Quality Assessment
Authors: Suzuki Guilherme , Freitas Pedro Garcia
Published: June 2024

Signal quality assessment is essential for health monitoring applications, as good signal quality is needed to reliably inform about the medical conditions of the patient. To achieve this, machine learning algorithms such as convolutional neural networks may be applied. However, the signal needs to be transformed into a 2D representation, which can be done using time series imaging techniques such as Gramian Angular Field (GAF), Markov Transition Field (MTF), and Recurrence Plot (RP), as well as by aggregating their results, which we refer to as Projection Mix. After preprocessing the dataset, Brno University of Technology Smartphone PPG (BUTPPG), into these images, various convolutional neural networks were trained and tested using such data, while also selecting hyperparameters through heuristic searching. The results indicate that our proposal performed better than the state-of-the-art methods.
Aplicação de Redes de Aprendizado Profundo e Algoritmos de Aprendizado de Máquina para Classificar Imagens de Câncer de Pele
Authors: Sá João P. C. A. de , Ensina Leandro A. , Jeronymo Daniel C.
Published: June 2024

O câncer de pele representa um grande desafio para a saúde pública, demandando de tecnologias que auxiliem em seu diagnóstico. Neste trabalho, propomos um método que combina algoritmos de aprendizagem profunda, utilizados para a extração de atributos de imagens de câncer de pele, e algoritmos de aprendizado de máquina tradicionais, utilizados como classificadores. Para isso, empregamos em nossos experimentos o conjunto de dados HAM10000 que nos permite realizar a classificação multiclasse. Utilizamos a rede convolucional VGG como extrator de atributos, os quais foram usados como entrada para algoritmos como Perceptron e LR realizarem a tarefa de classificação. Os resultados alcançados demonstram boa efetividade do nosso método, amparando a continuidade de nossa pesquisa.