bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent prediction for remaining life of aero-engine --A Study on CNN-BiLSTM Model Based on Scores Loss Function
Authors: Li Yufei , Xi Yujie , Zhou Xin
Published: October 2024

With the advent of the era of big data and artificial intelligence, predicting and managing the remaining service life of aero-engines has become a key challenge, which has a direct impact on the enhancement of autonomous control capabilities. In this paper, a new deep learning model combining a one-dimensional convolutional neural network (1D-CNN) and a bidirectional long and short-term memory network (BiLSTM) is proposed to efficiently handle dynamic and uncertain engine health state data. The concurrent model takes full advantage of 1D-CNN in extracting local features and BiLSTM in capturing time-dependence, avoiding the loss in the information transfer process in conventional models. Empirical studies on NASA's C-MAPSS dataset show that the model significantly improves the accuracy and robustness in predicting the remaining service life, reducing the RMSE by up to 5.05% and the Scores by up to 54.89% compared to the conventional model. Especially in the short-term prediction task, the model shows higher stability and accuracy, which provides strong support for advance warning in the field of aviation safety.
Prediction of tennis match results based on logistic regression
Authors: Wang Xinyue
Published: October 2024

More and more people like tennis, and the demand for the accuracy of predicting the results of tennis matches in sports betting is getting higher and higher. In this paper, a model is built to predict the results of tennis matches. In this paper, we first use the random forest model to analyze the factors that will have an impact on the outcome of the game, and the authors have selected out five factors that may have an impact on the outcome, which are: break of serve, Serve, Score, Net points , And they were assigned proportionally and the distribution was Break of serve 34.10%, Serve 24.30%, Score 38.00%, Net points 3.60% and using these proportions the influencing factors were calculated numerically, in this paper, the calculated value is named “momentum”. Then Pearson's correlation coefficient was used to analyze the relationship between momentum and match results, and the analysis found that the correlation between momentum and match results was as high as 0.807. Finally, a logistic regression model was used to predict and test the results of tennis matches. The final test results found that the model established in this paper has a high accuracy rate, and the research results also provide a new idea for tennis betting industry.
Research on the Detection Algorithm of Elderly Falling Behavior Based on AlphaPose Model
Authors: Chen Yang , Xu Haitao , Li Jingfeng , Qiu Cihai , Zhang Yitian
Published: October 2024

This study aims to address the challenge of quickly and accurately detecting high-risk behaviors such as falls in elderly people in hardware environments with limited power consumption and cost. Therefore, this article proposes an optimized behavior anomaly detection algorithm based on the AlphaPose model. The algorithm first improved the human target detection and pose estimation models to achieve faster pedestrian detection and pose joint point inference; Then, using the adjusted AlphaPose model, efficiently obtain the image coordinate data of each joint point in the human body; Finally, by analyzing the relationship between the linear velocities of the human head and hip joints, as well as the changes in the angle between the vertical line of the human center and the X-axis of the image, it is determined whether a fall event has occurred. This study deployed the proposed algorithm on the JetsonNano embedded development board and compared its performance with mainstream fall detection algorithms based on human posture, including YOLOv3+Pose, YOLOv4+Pose, YOLOv5+Pose, trtpose, and NanoDet+Pose. The experimental results show that on the set embedded platform, when the image resolution is 320×240, this algorithm achieves a detection rate of 8.83 frames per second and an accuracy of 0.913, both of which are superior to the compared algorithms. In summary, this algorithm has high real-time performance and accuracy, and can effectively identify the falling behavior of elderly people in a timely manner.
Design and Application of Intelligent Recommender Systems in Vocational Rehabilitation
Authors: Yang Siran
Published: October 2024

With the rapid development of information technology, the application of intelligent recommender systems in various fields has become more and more extensive, and vocational rehabilitation, as a field focusing on personalized services, faces the challenge of how to effectively use big data and intelligent algorithms to enhance the rehabilitation effect. This paper discusses the design principles and key technologies of intelligent recommender system in vocational rehabilitation, combining data-driven recommendation algorithms with users' personalized needs to achieve accurate recommendation of vocational rehabilitation programs. Through the optimization of system architecture and functional implementation, the intelligent recommender system shows remarkable effects in practical application, effectively improving the decision-making efficiency and user satisfaction in the rehabilitation process. Finally, this paper gives an outlook on the future development of the intelligent recommendation system in the field of vocational rehabilitation, and proposes possible research directions and application expansion paths.
Study on the Influence of Sex Ratio on Ecology Based on Improved Lotka-Volterra Model
Authors: Wang Sihao , Xu Jiawei , Yang Haocheng
Published: October 2024

In a pioneering study of lamprey population dynamics, we employ an enhanced Lotka-Volterra model to illuminate the profound influence of sex ratio shifts on ecosystems. This exploration delves into how such changes affect resource availability, ecosystem equilibrium, and sustainability. We employ dynamic differential equations to simulate population fluctuations among males, females, and predators, incorporating elements like birth rate, mortality rate, competition coefficient, mating success rate, and predation rate. The differential equations are numerically resolved using the Runge-Kutta method, enabling us to analyze population dynamics across various scenarios. Concurrently, we construct Jacobian matrices to appraise ecosystem stability and equilibrium points. The refined Lotka-Volterra model effectively encapsulates the impact of sex ratio variations on reproductive and predation processes, offering profound insights into predator-prey interactions and ecosystem dynamics. Our pivotal discoveries underscore the influence of sex ratio modifications on reproductive capacity, population growth rates, social structure, genetic diversity, and predator-prey relationships. This study emphasizes the criticality of comprehending the repercussions of sex ratio shifts on ecosystems and communities.
Study on the Electronic Design Automation of Taximeter
Authors: Wang Yuyang
Published: October 2024

The integration of Field Programmable Gate Arrays (FPGAs) into the design of digital taximeters signifies a transformative step forward in the field of Electronic Design Automation (EDA), catering to the evolving needs of urban transportation systems. This paper details the development and implementation of an FPGA-based digital taximeter that aims to enhance fare calculation accuracy, operational reliability, and adaptability to regulatory changes through the use of sophisticated technology. FPGAs are chosen for their ability to perform high-speed processing and to be reprogrammed in the field, which allows the taximeter system to adapt quickly to new fare structures and transportation regulations.
Decorative Art of the Latvian SSR, Searching the Way Between Party-mindedness and National-mindedness
Authors: Lavins (Ļaviņš) Imants
Published: October 2024

სოციალისტური რეალიზმის ძირითადი პრინციპს წარმოადგენდა საბჭოთა კავშირის მმართველი კომუნისტური პარტიის (პარტიული აზ­როვნების) მიერ შემოთავაზებული პოლიტიკური იდეალების რწმენა, რო­მელიც განზავებული იყო ეროვნულ ცნობიერებასა და იდეურობასთან (იდე-ო­ლოგიური შინაარსით). უკვე 1930-იანი წლების დასაწყისიდან საბჭოთა კავშირში ყოველი კულტურის მუშაკი ხელოვნების თითოეულ დისციპ­ლინაში მკაცრად უნდა მიჰყოლოდა სოციალისტური რეალიზმის მეთოდს. სოციალისტური რეალიზმის კანონი თანაბრად გამოიყენებოდა სახვითი ხელოვნებისთვის, ისევე როგორც გამოყენებითი ხელოვნებისთვის, რომლის სპეციფიკური ფუნქცია უნდა ყოფილიყო წმინდა უტილიტარული და­ნიშ­ნულება.  საბჭოთა კავშირის ეროვნულ რესპუბლიკებში დეკორატიული ხე­ლოვნება, ჩვეულებრივ, ხალხური ხელოვნების  ფორმებს ითვისებდა, 1960-იანი წლების დასაწყისიდან კი  დეკორატიული ხელოვნება აღიქმებოდა საბ­ჭოთა კულტურის განუყოფელ კომპონენტად. ამ დროისათვის  საბჭოთა კულტურის არსი უკვე ათწლეულების  ჩამოყალიბებული იყო,  ის შინაარსით სოციალისტური და ფორმით ეროვნული უნდა ყოფილიყო,  რაც ხაზს უს­ვამდა ეროვნული ტრადიციების მნიშვნელობას.
ამ პრინციპის განხილვა შესაძლებელი იყო სხვადასხვა, თუნდაც ძალიან განსხვავებული გზით, ამიტომ პარტიული პრინციპების ერთგულების პრობ­ლემა და ეროვნული გამორჩეულობის გამოვლენა თეორიული და პრაქ­ტიკული განხილვის ამოუწურავი თემა გახდა. კონცეპტუალური გაურკვევ­ლობა, ისევე როგორც ძალიან განსხვავებული ხედვები, შემოქმედებს, თე­ორეტიკოსებს, ასევე პარტიულ ჩინოვნიკებს შორის, არ იძლეოდა გამოყე­ნებითი ხელოვნების ერთიანი თეორიის შემუშავების საშუალებას. ზემო­აღნიშნული გაურკვევლობისა და აზრთა პლურალიზმის გამო გამოყენებითი ხელოვნების წარმომადგენელ მხატვრებს შეეძლოთ ესარგებლათ შემოქ­მედების გარკვეული თავისუფლებით, სოციალისტური რეალიზმის კანო­ნების პირდაპირი დარღვევის გარეშე.
ნაშრომის ავტორი განიხილავს და აანალიზებს იმდროინდელ ლატ-ვიის სსრ-ში პროფესიული დეკორატიული ხელოვნების განვითარებას, ხე­ლოვნების თეორიის იდეოლოგიურ  მიმდინარეობებს და ცენტრისა და პერიფერიის ურთიერთობას.
Exploring Students Awareness, Access and Utilization of Artificial Intelligence (AI) in Architectural Design
Authors: Cheche Kalu Kalu , Johnson Egwu Oyim , Odom Christopher U. , Eguzouwa Chinemerem Uchechukwu
Published: October 2024

Artificial intelligence has become a trending topic in the last decade and has permeated all spheres of life and profession and Architecture is no exception. The use of artificial intelligence in architecture is still in its infancy as more research is still being carried out in the application of artificial intelligence in architecture to solve problems ranging from intelligent material design to architectural plan solutions. This study aimed to examine students’ levels of awareness, access, and use of artificial intelligence in architectural design at selected tertiary institutions in Southeast Nigeria. The three tertiary institutions selected are; The Department of Architectural Technology, Akanu Ibiam Federal Polytechnic Unwana, The Department of Architectural Technology Abia State Polytechnic, Aba and The Department of Architecture, Abia State University, Uturu. The main objective is to carry out a survey to investigate the awareness, access, and utilization of artificial intelligence (AI) in architectural design among students in selected tertiary institutions in Southeast Nigeria. This study adopted a descriptive research design of the survey method and employed a three-sectioned questionnaire to elicit information from the respondents. The sample size included a multistage sample of 300 undergraduates across three tertiary institutions in Ebonyi State and Abia State.  The findings of the study were that the majority of the students are not aware of artificial intelligence and will use AI if they are aware of it and have access to it for their architectural design. Therefore, there is a need for integrating AI-related courses and workshops into the Architectural curriculum which can lead to better-prepared graduates who are proficient in using advanced design tools, potentially increasing their employability and innovation in the field.  This study concluded that students' ability to explore digital resources such as AI for Architectural design is dependent on their awareness and access to digital technologies. A lack of these will result in a lack of use and lack of skill to use them.
DANCE THERAPY – THE PSYCHOTHERAPEUTIC USE OF MOVEMENT TO PROMOTE THE EMOTIONAL, SOCIAL, COGNITIVE AND PHYSICAL INTEGRATION OF THE ELDERLY
Authors:   University of Bucharest, The Faculty of Psychology and Educational Sciences, 90 Panduri Street, sector 5, Bucharest 050663, BUTURĂ George-Cosmin
Published: October 2024

Background. Elder adults often require adaptive activities to maintain or regain their physical fitness. Dancing is one of the most complex activity for people. Dance is an activity which develops social, emotional, cognitive and physical skills that can improve the life quality of elder. The old age is a problematic, so the therapists have to work more with this segment. Every activity or therapy is welcome to prevent the needs of elder people. Dancing is one of this theraphies and I will show the benefits of this activity. Method. The purpose of this case study is to describe the process of developing, pilot testing and implementing a dance-based exercise class at the Seniors Club of Bucharest City Hall. This participant observation-based case study makes use of holistic observations during the process of developing and offering the class in cooperation with the Director of the Seniors Organization. Participants will complete a “Course and Instructor Evaluation”, reporting their experience with the class, including any perceived benefits, concerns and willingness to pay and participate in future dance offerings. The weekly class format includes 10-minute warm-up/introduction, 40 minutes of cardiovascular oriented dance instruction with pre-recorded accompanying music, and a 10-minute cool down/review. Results: In consultation with the program, a dance-based exercise class for seniors was approved, designed, advertised, and implemented. Participants displayed signs of enjoyment during the class meetings and the small class size allowed all to engage in a dynamic, powerful, and rewarding experience of dance regardless of level of ability. Through repetition and reinforcement of movements participants learned dance steps often working beyond their conceived limitations. Dance has shown promise in improved fitness, social connections and overall physical and cognitive benefits. Conclusion: Our study is meant to show that a professional trainer, a good program, implicated people takes to good results. For elders is very important to take good activities. The study will show that the dance therapy is an instrument that is proper to improve the elders life, make they feel good and in the end the quality of life of elder people.
STUDY REGARDING THE MOTOR PROFICIENCY AGE OF THE PRIMARY SCHOOL STUDENTS
Authors:   DEFS, University of Bucharest, Romania, Gozu Bogdan
Published: October 2024

Background. In the primary school cycle, physical education and sports plays an important role in the development of the child’s personality. From the point of view of its special objectives, psychomotricity offers the child both the details and the frame favorable to the development and the improvement of a system of acquirements, by means of which he can act in an efficient way and adapt in optimal conditions to the request imposed by the environment in which he develops his activity. This elicits from the point of view of those involved in a direct and indirect way in the instructional-educational process the comprehension of the internal mechanisms which lie at the basis of the psychomotor phenomenon and the identification of the main evaluation modalities of its different components, in a certain moment, in order to emphasize the possible deviations from a child’s normal ontogenetic development. A correct and specific approach of all the psychomotor components that takes into account both the age and the objectives of the instruction already established, will be reflected at the level of the child’s behavior by getting some essential acquisitions, which will form the premises of his development to a superior stage and the acquirement of new behaviors. Purpose. Using a part of the Bruininks-Oseretsky Test – Second Edition, the main goal of this study was to analyze a possible difference between motor proficiency age and chronological age of the subjects, in the Upper-Limb Coordination subtest. Methods. Regarding the methods, 40 subjects, male and female primary school students, coming from urban and rural areas, were selected to participate in this research experiment. Results. The average motor proficiency age for the Upper-Limb Coordination subtest is 10 years and 5 months. The average chronological age of 9 years and 3 months is lower than the average motor proficiency age by 1 year and 2 months. The standard deviation and the coefficient of variation indicate a nonhomogeneous structure of the lot in relation to the motor proficiency age. The effect size index of Cohen indicates that the differences between the two ages are medium towards high. The verification of the statistical hypothesis through the dependent t-Test indicates a statistically significant difference of means (P=0.002 is smaller than 0.05). Conclusion. Besides the outline of an objective image regarding the psychomotor development of the students in the primary school cycle, at the level of the evaluated aspects, the analysis of the results of this experiment constitutes an essential feed-back in the design and monitoring of the training programs specific to the educational process.
Transformative Leadership in the Data Era: Driving Global Organizational Success
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter examines the role of transformative leadership in navigating the complexities of the data-driven era, where leveraging data has become essential for global organizational success. It explores how leaders are integrating data into strategic decision-making, fostering a data-driven culture, and utilizing advanced technologies like AI and big data to drive innovation. By highlighting case studies of successful organizations, the chapter demonstrates how leaders can empower teams, enhance operational efficiency, and remain competitive in an increasingly digital marketplace. The chapter also emphasizes the importance of ethical leadership in ensuring responsible data use and addresses emerging trends in leadership as organizations adapt to rapid technological advancements. Ultimately, it offers insights into how transformative leaders can guide their organizations to long-term success by embracing the opportunities of the data era. Keywords: transformative leadership, data-driven decision-making, global organizational success, data culture, AI, big data, innovation, operational efficiency, digital transformation, ethical leadership, data use, leadership trends, technological advancements.
Education Infrastructure for Inter-organizational University Collaborations
Authors: Linse Charlotta , Lilliesköld Joakim , Gulliksen Jan , Petersson Joakim
Published: October 2024

Collaboration is a long and strong academic tradition. Over the years we have seen many investments in increasing collaborations, nationally and internationally, such as Erasmus +, EIT etc. Many of these attempts fall short, there are some collaborations, some development of platforms/infrastructure, but as soon as funding ends, collaboration ends. This paper makes a strong argument for a structured approach to inter-organizational university collaborations where the opportunities and challenges of different alternatives are evaluated. The paper proposes that solutions for national inter-organizational university collaborations can be designed by combining the choice of technical educational platforms with an idea for how to organize the collaborative processes.  
We argue that it is possible to stake out the overall approach for inter-organizational university collaborations. Learning from previous initiatives, there are three main alternatives to choose from; (1) Focus on creating organizational collaborations; (2) Focus on creating and sharing content; and (3) Focus on creating common delivery of courses. It is noteworthy to mention that these are not mutually exclusive alternatives but can and should be combined.
Monitoring system for physical activity and fitness based on service robots and biomechanics
Authors: Zeng Qingtian , Ye Yingman
Published: October 2024

Exercise is one of the important ways for people to exercise, with characteristics such as sociality and strong participation. Especially with the improvement of the level of economic development and the improvement of the quality of life of the people, more and more people begin to attach importance to the maintenance of their own health. Physical fitness monitoring, as an effective means, is widely used in daily life, especially among the elderly. However, most of the existing monitoring methods are relatively simple, lacking pertinence, and the data collection process is relatively cumbersome and unstable, which cannot meet current needs. Therefore, it is very necessary to explore a new type of equipment that can more comprehensively and accurately monitor various physiological parameters of the human body to replace existing traditional detection technologies. Service Robots are currently the most promising intelligent hardware products. They mainly provide personalized services centered on users, sensing user behavior and implementing intelligent decision-making based on their characteristics, thereby better meeting the needs of different groups of people. This article focused on the research and development of Service Robots, and designed a comprehensive solution for Service Robots based on theories such as the Internet of Things, cloud computing, big data technology, and artificial intelligence. This article compared existing intelligent monitoring systems with fitness monitoring systems based on Service Robots, and proved that the user experience of fitness monitoring with robot participation has improved by about 4.68%. Its application scenarios were richer and its effects were more significant, enabling it to better complete tasks such as analysis and prediction of physical fitness status, real-time warning, etc., reducing the risk of people suffering from diseases, and enhancing individual protection awareness.
Impact of climate change on Chinese college students’ consumption behavior: A case study of Jilin University
Authors: Feng Xiangrong , Zou Xiaolong
Published: October 2024

This study investigates the impact of climate change on the consumption behavior of Chinese college students, especially their daily expenses. Using a survey method, data were collected and analyzed to understand the correlation between climate change awareness and consumption choices among students at Jilin University. The findings indicate that over 70% of respondents believe climate change significantly affects their daily lives and consumption habits. Particularly, changes in transportation choices were most prominent, with 68% of students opting for greener travel options. However, less willingness was observed in reducing online shopping or paying carbon taxes. These insights highlight the need for tailored educational interventions to enhance climate change awareness and promote sustainable consumption practices among college students.
Optimizing the Role of MSMEs in Regional Economic Growth: Challenges and Opportunities
Authors: Hasbiah  , Teguh Suharyanto  , Virda Febriani Putri Irwan  , Fika Faridotul  , Chasanah
Published: October 2024

This research aims to analyze the role of Micro, Small, and Medium Enterprises (MSMEs) in boosting the economy of West Papua, with a focus on the challenges and opportunities faced by this sector. Using a mixed-method approach, data were collected through surveys, in-depth interviews, and focus group discussions. The findings indicate that MSMEs in West Papua face several key challenges, including limited access to capital, low financial literacy, and inadequate infrastructure, such as internet and electricity access. Despite these challenges, there are significant opportunities for MSMEs to grow, particularly through the use of digital technology and e-commerce. The study also found that government policy support has not been fully effective in aiding MSME development in this region. Proposed solutions include improving access to capital, enhancing financial literacy, and digitizing business processes to increase MSME competitiveness. This research offers policy recommendations that can be implemented to encourage MSME growth in West Papua, thus contributing more significantly to the national economy.
Building Sustainable Tourism and Strengthening Local Economies in Tourism Villages Through Homestay and Stakeholder Participation
Authors: Wayan Suardana  , Puput Puji Astuti  , Risman Jaya  , Muhammad Taufik
Published: October 2024

This paper explores the role of diverse stakeholders in the sustainable development of homestays, emphasizing the critical importance of collaboration among various actors to achieve long-term success. Local governments play a crucial role by creating supportive regulations, providing essential infrastructure, and offering training for homestay operators on sustainable practices that can improve service quality and environmental responsibility. Homestay managers are essential for delivering quality services and implementing eco-friendly operations, such as effective waste management and energy conservation. Community involvement is equally vital, as residents can engage in managing homestays and offering local products, thereby ensuring that economic benefits reach a broader segment of the community. Additionally, tourism industry players, including travel agents, promote homestays to a larger audience, while NGOs contribute by educating communities about sustainable tourism practices and advocating for supportive policies. The findings suggest that a collaborative approach among stakeholders is essential for successful and sustainable homestay development, ultimately benefiting local economies and preserving the environment.
Natural Potential and Local Resources of Tourism Villages in Extreme Poverty Alleviation
Authors: Daniel Adolf Ohyver  , Risman Jaya  , Sudarmi  , Ismail  , Alisyahbana Andi Naila Quin Azisah
Published: October 2024

This study aims to explore the natural and local resources that can be utilized as economic assets to alleviate extreme poverty in Kolaka Regency. A qualitative research approach was employed, gathering data through interviews with beach managers, field observations, and documentation. The findings indicate that the area's natural beauty, marine resources, and rich cultural traditions play a critical role in attracting tourists and serving as sustainable economic drivers. These resources not only enhance tourism but also provide opportunities for local communities to develop businesses and improve livelihoods. However, to ensure the continued success of tourism as a poverty alleviation tool, environmental preservation and cultural conservation must be prioritized. This includes implementing eco-friendly tourism practices that protect the natural environment while promoting local traditions. Additionally, collaboration between local communities, the government, and stakeholders is essential to create inclusive and long-term benefits. This research is expected to contribute to formulating effective tourism development strategies that can alleviate extreme poverty and improve the well-being of the local population.
Função sexual e satisfação conjugal de mulheres climatéricas assistidas na atenção primária
Authors: Ferreira Santos Thaise , dos Santos Lucas , Narriman Silva de Oliveira Boery Rita
Published: October 2024

Introdução: O climatério é evento fisiológico de preparo para o envelhecimento que pode comprometer não só o estado físico e mental, mas também influenciar a qualidade das interações interpessoais desta mulher. Objetivo: Reconhecer os fatores associados à disfunção sexual e satisfação conjugal em mulheres climatéricas assistida na Atenção Primária. Métodos: Pesquisa transversal, realizada entre outubro/2019 e março/2020, com 83 mulheres entre 40-65 anos, cadastradas nas Unidades de Saúde da Família de um município do interior baiano, em relacionamento conjugal, vida sexual ativa nos últimos 6 meses com pontuação mínima igual a 5 na escala Menopausa Rating Scale (MRS). Excluídas gestantes, histórico de ooforectomia bilateral, distúrbios hormonais prévios e outros que dificultasse a participação no estudo. Para coleta dos dados utilizou-se instrumento sociodemográfico, de condições de saúde, estilo de vida. O MRS; Quociente Sexual - feminina (QS-F) e a Escala de Satisfação Conjugal-Dela Coleta. Para análise utilizou-se teste Qui-quadrado de Pearson ou teste exato de Fisher, nos casos em que a frequência foi menor que cinco. Em ambos o nível de significância foi de 5%. O estudo foi aprovado pelo Comitê de Ética em Pesquisa. Resultados: Maior prevalência de disfunção sexual (DS) entre aquelas com idade ≥60 anos; sem ocupação remunerada; com comorbidade; em uso de medicação contínua e sintomas climatéricos severos. A função sexual se mostrou associada a satisfação conjugal. Conclusão: idade ≥60 anos, sintomas climatéricos severos, comorbidades, uso de medicação contínua, predispõe a DS. As alterações fisiológicas associadas a nível de interação com conjugue pode influenciar na DS. Palavras-chave: Climatério; Disfunção sexual; relacionamento conjugal.
Aplicativo móvel como coadjuvante na adesão ao tratamento fisioterapêutico de pacientes com fibrose cística
Authors: da Costa Teixeira Renato , do Socorro Pereira de Freitas Erisandra , Soares de Carvalho Junior Luiz Carlos
Published: October 2024

Introdução: A Fibrose Cística (FC) é a principal doença hereditária potencialmente letal entre caucasianos, apresentando complicações sistêmicas e necessidade de um regime terapêutico que demanda tempo e dedicação. Objetivo: Desenvolver um Aplicativo (App) para smartphone que permita orientar e estimular pacientes com FC a realizarem de forma lúdica e correta seus exercícios fisioterapêuticos, contribuindo para a adesão ao tratamento domiciliar. Métodos: Estudo metodológico de inovação tecnológica onde se buscou o desenvolvimento do App FisioResp pelos pesquisadores e por um profissional de TI. Resultados: 13 usuários dentre a lista de pacientes com Fibrose Cística cadastrados no Ambulatório de Fibrose Cística do Hospital Universitário João de Barros Barreto consideram positiva a utilização do aplicativo. O Aplicativo foi desenhado pelos autores tendo como base o Guia de Recomendação Brasileira de Fisioterapia na Fibrose Cística e foi desenvolvido por um profissional da área de Tecnologia da Informação, em uma empresa privada, sendo elaborado na linguagem Java Script utilizando o framework React Native para Smartphones com sistema operacional Android e foi registrado no INPI sob o número BR512024000738-5. Conclusão: Buscamos trazer aos pacientes e aos profissionais fisioterapeutas mais uma ferramenta de auxílio terapêutico para tentar tornar a rotina de tratamento domiciliar mais prática e mais eficiente, sintetizando e possibilitando a prescrição domiciliar dos exercícios mais comumente usados na prática ambulatorial de um Centro de Referência em FC. Uma limitação inicial encontrada no App é o fato de ter sido desenvolvido, por enquanto, apenas para a plataforma Android. Palavras-chave: Adesão terapêutica; fibrose cística; reabilitação; smartphone; aplicativos móveis.
Inteligencia artificial y formas de trabajo emergentes
Authors: Cuadros Garrido María Elisa , Selma Penalva Alejandra , Pardo López María Magnolia , López Insua Belén del Mar , Blasco Jover Carolina , Álvarez Cuesta Henar , Cavas Martínez Faustino , Núñez-Cortés Contreras Pilar , San Martín Mazzucconi Carolina , Fernández Collados M.ª Belén
Published: October 2024

El crecimiento de la capacidad informática, la disponibilidad de datos y los avances en los algoritmos, han convertido la IA en una de las tecnologías más estratégicas del s. XXI. La IA ha dado lugar a la aparición de nuevas formas de desarrollo de la prestación laboral, fuera de los esquemas clásicos del contrato de trabajo. La gestión algorítmica implica el uso de técnicas de IA para planificar y gestionar los recursos humanos de una empresa. Ante ello, los juristas están obligados conceptualizar en clave jurídica el fenómeno, reconocer derechos y facultades donde corresponda, detectar posibles riesgos y peligros y, en consonancia, proponer requisitos, condiciones y límites al su uso de la IA, y este es el fin es el que pretenden conseguir los autores de esta obra. En la monografía se analiza de una forma minuciosa el Reglamento Europeo de IA desde la perspectiva de Derecho del Trabajo, y con diferentes vértices: evaluaciones de riesgo, selección de personal, sesgos y discriminación, prevención de riesgos laborales. Por otro lado, sobre las nuevas formas de trabajo, se estudian los empleos verdes, la regulación europea de plataformas digitales, la relación de las TICs con el derecho a la conciliación de la vida familiar y laboral. En definitiva, una obra de sumo interés para profesionales del Derecho, que puede ayudar a comprender la regulación actual, los derechos del trabajador, las obligaciones del empresario y las carencias normativas existentes.
Geodetic Bounds in the Join of Graphs
Authors: Mariano Rochelleo , Artes Jr. Rosalio , Rasid Regimar
Published: October 2024

In this paper, we establish geodetic bounds of graphs resulting from the join of two noncomplete connected graphs.
DESAFIOS DA APRENDIZAGEM NOS TEMPOS ATUAIS: REFLEXÕES SOBRE AS TRANSFORMAÇÕES EDUCACIONAIS
Authors: Coimbra Elaine Cristina , Gomes Elis Cristina Beltramini , Souza Évy Thaynne dos Anjos , Moreira Kimberly Gabrielly Rodrigues , Silva Lucimara José Pereira de Souza , Assis Maria de Fátima Francisca de , Monteiro Micaelly Andrade , Cirino Silbeny Lima Alves , Turíbio Simone Giacomolli , Silva Valeska Lucas Filgueiras
Published: October 2024

O presente artigo tem como objetivo discutir os principais desafios enfrentados pela aprendizagem no contexto contemporâneo. Com a revolução digital e o impacto crescente das novas tecnologias, o processo educacional passa por profundas transformações, que envolve não apenas as metodologias de ensino, mas também as relações entre professores e alunos, a gestão do tempo e o acesso ao conhecimento. Questões como a desigualdade digital, a sobrecarga informacional e a necessidade de adaptação das práticas pedagógicas a novas competências são centrais para compreender o cenário atual. Além disso, serão abordadas as implicações sociais e psicológicas dessas mudanças, considerando o papel das instituições educacionais na mediação desses desafios.
A EVOLUÇÃO LEGISLATIVA DA ALIENAÇÃO FIDUCIÁRIA DE BENS MÓVEIS EM FRENTE ÀS AÇÕES DE BUSCA E APREENSÃO À LUZ DA JURISPRUDÊNCIA.
Authors:   Edilson Vitorelli Diniz Lima, Barbosa Pedro Fior
Published: October 2024

A alienação fiduciária é um instrumento contratual de garantia real que viabiliza a  transferência de uma bem móvel para a garantia do pagamento de uma dívida. O  objetivo da presente monografia é analisar a evolução normativa do instrumento  jurídico de alienação fiduciária, verificando desde os marcos regulatórios das leis  especiais até os entendimentos jurisprudências que serviram como norte para a  interpretação das leis, cujas quais eram omissas ou imprecisas com relação aos  aspectos práticos dos desafios trazidos pelos casos concretos de execução da  garantia em frente ao inadimplemento dos devedores. Por consequência foi analisado  as contradições entre os tribunais em sede de recursos que basearam a necessidade  de melhor interpretação pelo Supremo Tribunal de Justiça, para que este uniformizasse  as decisões proferidas pelos tribunais, no que diz respeito à interpretação da lei. Para  viabilizar o estudo, foram utilizadas fontes bibliográficas, como livros e em especial as  jurisprudências no site do Supremo Tribunal de Justiça. Como resultado, foi verificado  que apesar de inúmeras interpretações já existentes a respeito dos dispositivos da lei,  em virtude de tratar-se de um diploma jurídico muito antigo, este ainda está aberto a  mais interpretações ao decorrer das alterações das necessidades humanas e do  cenário social.
O FENÔMENO DO SUPERENDIVIDAMENTO: A LEGISLAÇÃO Nº 14.181 E O DIREITO DO CONSUMIDOR
Authors: Castro Arlen Darck Aleixo De , Souza Jonhnatan Alves De
Published: October 2024

No presente estudo, investigou-se o fenômeno do superendividamento através da lei inserida ao CDC em 2021. Desse modo, o objetivo geral da pesquisa foi analisar a legislação brasileira nº 14.181 e qual o seu papel na proteção dos direitos dos consumidores superendividados, tendo como objetivos específicos observar o que é, como ocorre e quais as causas do superendividamento, apresentar as consequências do problema e o seu risco ao mínimo existencial e, por fim, apontar os avanços, desafios e limitações da aplicação da lei. Assim, teve-se como metodologia, a pesquisa doutrinária mediante o procedimento de revisão bibliográfica. Logo, percebeu-se que, a prevenção deve ser prioritária nos casos de superendividamento, porém as medidas do legislador para o tratamento desses casos visam, sobretudo, a conciliação e a repactuação harmônica das dívidas, o que possibilitou concluir que os órgãos de defesa do consumidor podem ser instrumentos para facilitação desse processo.
Exploring the Impact of Convolutional Neural Networks on Facial Emotion Detection and Recognition
Authors: Donatus Rexcharles Enyinna , Donatus Ifeyinwa Happiness , Chiedu Ubadike Osichinaka
Published: October 2024

Emotional analytics is a fascinating blend of psychology and technology, with one of the primary methods for recognizing emotions involving facial expression analysis. Facial emotion detection has advanced significantly, utilizing deep learning algorithms to identify common emotions. In recent years, substantial progress has been made in automatic facial emotion recognition (FER). This technology has been applied across various industries to enhance interactions between humans and machines, particularly in human-centered computing and the emerging field of emotional artificial intelligence (EAI). Researchers focus on improving systems’ capabilities to recognize and interpret human facial expressions and behaviors in diverse contexts. The impact of convolutional neural networks (CNNs) on this field has been profound, as these networks have undergone significant development, leading to diverse architectures designed to address increasingly complex challenges. This article explores the latest advancements in automated emotion recognition using computational intelligence, emphasizing how contemporary deep learning models contribute to the field. It provides a review of recent developments in CNN architectures for FER over the past decade, demonstrating how deep learning-based methods and specialized databases collaborate to achieve highly accurate outcomes.
Epidemiology And Biological Mechanisms Of Cardiovascular Disease And Diabetes
Authors: Chaudhary Dr. Raj Kamal , Singh Dr Amrendra Kumar
Published: October 2024

The risk of CVDs in T2DM patients in LMICs is higher than in developed nations. It is essential to make an evaluation of the current situation of CVDs among people with T2DM. These CVDs are easily preventable through intervention especially in T2DM patients and this should be done in a comprehensive manner. The following targets and principles should be considered: individual targets of HbA1c for patients, a rigorous control of cardiovascular risk factors such as blood pressure and lipids, and incorporation of newer anti-diabetic, lipid-lowering and anti-hypertensive agents. It is, therefore, crucial to design a stepped-wedge approach that bundles a patient-level intervention, lifestyle, and pharmacological interventions to reduce the risk of CVD in LMIC T2DM populations. When selecting medications for T2DM patients with cardiovascular conditions, several key considerations must be made: When selecting medications for T2DM patients with cardiovascular conditions, several key considerations must be made: It should be noted that the choice of anti-diabetic drugs should take into consideration cardiovascular safety. SGLT2 inhibitors and GLP-1 agonists are newer agents for managing diabetes and have been found to have cardiorenal benefits. The choice of lipid-lowering should be targeted to lower LDL cholesterol and triglycerides as effectively as possible. If the intensity of statin is high; it is considered first-line therapy, and other optional medication includes ezetimibe and PCSK9 inhibitors. To maintain the best pressure level that is suitable for an individual, and as a result control hypertension, the use of antihypertensive drugs is necessary. This makes ACE inhibitors or ARBs the preferred first-line antihypertensive agents because of their cardiovascular benefits. For the purpose of secondary prevention in individuals who have experienced a cardiovascular event, the antiplatelet drug aspirin in a dosage of between 75 to 150 milligrams per day should be administered. This is to minimize the probability of such difficulties re-emerging by influencing platelet activity. In general, adequate blood pressure management and antiplatelet aggregation therapy are key interventions with specific antiplatelet medication needs in this setting.
Exploring the Impact of Paternal B12 Levels During the Periconceptional Period on IUI Success
Authors: Atea Mouroge Khalaf , Al-Anbari Laith Amer
Published: October 2024

Background: The present study is a novel exploration of the effects of vitamin B12 supplementation on seminal fluid parameters and the outcomes of intrauterine insemination (IUI). Specifically, we aimed to evaluate the concentrations of vitamin B12 in blood and seminal plasma before and after two months of supplementation.
Objectives: investigate the effects of vitamin B12 supplementation on the characteristics of seminal fluid parameters and IUI outcomes. 
Material and Methods: A randomized controlled experiment with 100 randomly selected infertile couples. The patients were divided into two equal groups according to their vitamin B12 dosage. Group A consists of 50 couples who are taking B12 supplements. Obtain blood and seminal plasma samples from couples to measure the level of vitamin B12. Group B consists of 50 couples and does not include any supplements. The couples in group B initiated ovulation induction and intrauterine insemination (IUI) during the same month as the medical examination without the use of any additional supplements. Still, after two months of vitamin B12 supplement, group A started ovulation induction. 
Result: Basal semen parameters for sperm count, sperm motility in grades, and sperm morphology in the study group have a higher sperm count than the control group. Vitamin B12 intake for two months improves sperm morphology and increases sperm motility in grades A and B, according to the current study. This has a favorable effect on sperm count overall.
Conclusion: research will determine the positive effect of vitamin B12 supplements on sperm parameters and IUI results.
Efficacy of Bone Anchored Pendulum Appliance Over Conventional Pendulum Appliance during Molar Distalization in the Orthodontic Management of Class II Malocclusion : A Systematic Review
Authors: Vas Nazleen Valerie , R Navaneethan
Published: October 2024

Background: Pendulum appliance used commonly used to achieve molar distalization in the management of borderline class II malocclusion is associated with mesial tipping of the maxillary premolars and proclination of maxillary incisors post-distalization, resulting in round tripping and increased treatment time. Bone Anchored Pendulum Appliance (BAPA) is one of the modifications of the pendulum that could effectively prevent anchorage loss. Aim: To evaluate the effectiveness of Bone Anchored Pendulum Appliance(BAPA) over the Conventional Pendulum Appliance(CPA) for the distalization of maxillary molar in the management of  Class II malocclusion. Materials and Methods: A  web search was done in Google Scholar, MEDLINE, Web of Science, LILAC and COCHRANE Library  databases using PRISMA guidelines. The search included RCTs and Non RCTs  (Both  Prospective and Retrospective studies) comparing distalization achieved by BAPA with CPA in Class II malocclusion. The Risk of bias was assessed using the ROBINS - I tool.  Results: Of the initial 745 articles, 5 studies met the inclusion criteria and were included to the systematic review. The BAPA showed between 4.8 -6.4 mm of molar distalization and between  9 °-11.3° of distal tipping of molars while the distalization achieved with CPA was between 2mm -6.4mm with 6.67° -14.50° of distal tipping. While CPA groups showed mesial tipping of premolars, distal tipping of premolars was observed with the BAPA appliances. Conclusions: BAPA were found to significantly reduce anterior anchorage loss, distalise the premolars and molars. There is moderate evidence that BAPA provides greater distalization with reduced incidence of unwanted tooth movements.
The Effect of Rehabilitation Exercises Accompanied by the Dietary Supplement (ZMA) on Partial Tear in the Deltoid Muscle, indicated by the Electrical Activity of Throwing Athletes
Authors: Tuaimah Mohammed Hasan , Razij Nabaa Radhi
Published: October 2024

The first chapter consists of an introduction to the study in its importance in using ringing magnetic X-ray to find out the range of sports injury. It also refers to the role of the scientific rehabilitation programs which go in harmony with the continuing development of medical and treating sciences as well as the role of treating ways and its importance of applying the rehabilitation programs in the recovery of sports injuries. The researcher also indicates the research significance using the style of identifying the sports injuries using the new modern medical devices and the physical, biochemical and electric action (SMG) signs as ones of developing and improving the tearing deltoid.
This chapter also includes the problems emerged from the injured deltoid of partial tearing of young handbollers and the importance of identifying such problems by the modern medical devices. This helps in finding the proper.
The incident and Molecular Identification of the Cryptosporidium Parvum in Cultivated Carp Fish (Cyprinus carpio) in Baghdad
Authors: Obead Noor Majed , Alhaboubi Amer Rasool
Published: October 2024

The current study aimed to investigate the occurrence of Cryptosporidium species by traditional and molecular methods in freshwater fish in Baghdad city. A convenient number of stomach and intestinal continent samples were collected from three types of freshwater fish from different areas of Baghdad city from November, 2023 to April, 2024. All samples were examined phenotypically using a modified Ziehl-Neelsen stain and genotypically (nested PCR technique) based on a partial sequence of 18SrRNA genes with sequencing and phylogenetic tree analysis. The overall infection rate of fish with C. parvum was 5.5% (10/180). The common carp (Cyprinus carpio) was the only fish type infected, with a rate of 16.66% (10 60). January and February had the highest infection rate, 3.33%. The molecular identification and sequencing confirmed the infections with C. parvum. Molecular speciation of the parasite confirmed microscopical primary identification results. This study suggests that fish became a new source for transmission to humans and livestock.