bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoreo de los niveles séricos de Infliximab y anticuerpos anti-infliximab en pacientes pediátricos con enfermedad inflamatoria intestinal: experiencia en un hospital pediátrico de alta complejidad de Buenos Aires, Argentina
Authors: Micheletti Eugenia , Eichhorn Cristina , Antoniska Mariela , García Franco , Pérez Laura , Weyersberg Christian , Contreras Mónica
Published: July 2024

Introducción. El infliximab es la droga más utilizada en el tratamiento de pacientes con enfermedad inflamatoria intestinal en pediatría. La monitorización de sus niveles es el mejor predictor de respuesta al tratamiento instituido y es un recurso importante para optimizar su uso, dado que la pérdida de respuesta primaria o secundaria es un factor a tener en cuenta, sobre todo en pediatría donde las opciones terapéuticas son limitadas.
Objetivo. Evaluar en pacientes con enfermedad inflamatoria intestinal los niveles séricos de infliximab y los anticuerpos antidroga durante la inducción y el mantenimiento, así como también su relación con las diferentes variables que pueden alterar el clearance de la droga.
Materiales y métodos. Estudio prospectivo, descriptivo, longitudinal y observacional, realizado desde octubre 2021 hasta febrero 2023. La población se dividió en 2 grupos: el Grupo A conformado por los pacientes en inducción (determinaciones en semanas 12 a 15) y el Grupo B que agrupó a los pacientes en mantenimiento (determinaciones inmediatamente previas a la siguiente infusión del fármaco). Se estimaron como adecuados los niveles en sangre entre 3-7 ug/ml y los anticuerpos antidroga > 10 AU/ml fueron considerados elevados.
Resultados. Se incluyeron 58 pacientes, el 81,03% (n=47) con enfermedad de Crohn y el 18,9% (n=11) con colitis ulcerosa. En el Grupo A el 20.6% se debió optimizar el tratamiento y el 19% mostró una pérdida de la respuesta primaria, mientras que en el Grupo B el 64.4% tuvo pérdida de respuesta secundaria y se pudo determinar el mecanismo subyacente a la misma, siendo inmunogénico en más del 30% de los pacientes.
Conclusión. Conocer los niveles de infliximab y de los anticuerpos antidroga es una herramienta útil, que en nuestra experiencia cambió el curso del manejo de los pacientes, permitiendo un seguimiento y tratamiento individualizado.
The Work of the Olfactory Cell
Authors: Myjkowski Jan
Published: July 2024

Work is the basic physical quantity that determines the amount of energy needed to perform a given task. In the case of smell, it is a complex process of receiving odor signals from the outside world, transforming them in the olfactory cell into the form of chemical bonding energy, which is converted into electrical energy of the action potential at the synapse between the I and II neurons of the olfactory pathway. Regardless of the many transformations of energy along the way, the signal reaching the brain must be recognizable in quality and intensity. The olfactory organ works around the clock, although olfactory sensations do not reach the brain at night. Very strong odors like ammonia can wake you from sleep. The entire system uses external energy to perform work. Similar to the nerve cell and the auditory cell, the olfactory cell is an excitable cell, meaning that the action of an external stimulus leads to a response in the form of depolarization of the cell. A bidirectional action of the cell is created. In addition to the normal work related to the life of the cell - like with any other cell, for that matter, there is work related to the transformation of the olfactory signal in the cell and the transmission of this signal to the synapse. These two levels of olfactory cell activity are closely related, dependent on each other, using the same substrates and frequently the same transmission pathways. The level related to cell life is the constitutive level, while the second level, related to signal transmission, is the regulated level. This latter level begins with taking over the energy of odor substance - an odorant, which, regardless of its size, has kinetic energy, potential energy and electron energy. By binding with the GPCR receptor and acceptor, the odorant causes the transfer of some of its own energy, that associated with the odor. The electron cloud of the odorant, after combining with the electron cloud of the receptor, loses a certain amount of electrons or protons. After transmitting information to the acceptor, such a molecule is detached from the receptor and enzymatically destroyed. OBP is just an intermediary for these reactions. Further transformations of the energy of the olfactory signal take place in the cell and synapse.
A RETROSPECTIVE STUDY ON PUBLIC ENTREPRENEURSHIP IN THE FOUNDING YEARS OF THE REPUBLIC
Authors: Tutar Hasan , Karademir Ömer
Published: July 2024

In its founding years, the Republic of Türkiye aimed to be an economically self-sufficient, productive, and value-creating country, and great efforts were made in public entrepreneurship for this purpose. The primary purpose of this research is to examine Turkish public entrepreneurship from a retrospective perspective. Public entrepreneurship emphasizes the government's role in transforming societies by using entrepreneurial principles on issues such as innovation and the effective delivery of public services. The research aims to examine the success stories of the past and the problems that have survived since then, focusing on understanding the origins and evolution of public entrepreneurship in the founding years of the Republic of Türkiye. Additionally, the research aimed to address public entrepreneurship's potential future impacts and challenges. This retrospective analysis focuses on better understanding the effects of public entrepreneurship on public policy and society's well-being.
Do Integrated Community Psychiatry Services in Primary Health Care Settings Improve Continuity of Care? A Mixed-methods Study of Health Care Users’ Experiences in South Africa
Authors: Abdulla Saira , Robertson Lesley , Kramer Sherianne , Goudge Jane
Published: July 2024

Background: A community psychiatry service is provided from selected primary health care (PHC) clinics in Gauteng, South Africa. This study described the demographic and clinical characteristics of health care users (HCUs), and explored HCUs’ experiences of these services in order to shed light on the challenges of integrating psychiatric services into PHC.
Methods: A mixed-methods study was conducted at two PHC clinics, where 384 clinical records were reviewed and 23 HCUs were interviewed. In Clinic-1, community psychiatry services were co-located, while in Clinic-2, these services were physically integrated into the PHC clinic.
Results: HCUs from both clinics were generally female (55%), had not completed secondary level education (65%), and were unemployed (80%). Both clinics struggled with medication stock-outs and had the same number of community psychiatry health care providers. Compared to the co-located clinic, the physically integrated clinic had insufficient consultation rooms (compromising confidentiality), higher caseloads (910 compared to 580), more HCUs with psychotic disorders (61% compared to 44%) and a history of missed medication (58% compared to 40%). In both clinics, overall care coordination was limited, although some nurses coordinated care for HCUs. While organisational integration approaches improved the proximity of mental health services, there were challenges in continuity of care within and across health care sites.
Conclusion: Coordination and continuity of care were constrained in both clinics, regardless of the organisational integration approaches used. As low- and middle-income countries work towards integrating mental health care into PHC, the implementation of organisational integration approaches should consider physical space, caseload, HCU need, and the inclusion of dedicated providers to coordinate care.
The Role of Innovation in Sustainable Development in the Selected Countries during the Period (2007-2020)
Authors: Ali Shihab Muhammad , Bouabid Dr. Anis
Published: July 2024

The study aimed to identify the impact of technological innovation on the sustainable development of the countries of the study sample, which included (Iraq, Tunisia, Egypt and Kuwait) during the period (2007-2020), and the cross-sectional data method was used and the fixed effects model was used to analyze the study variables, and this study resulted in a positive and statistically significant effect of total capital formation and expenditure on research and development as a percentage of GDP on GDP and a negative relationship between labor force and GDP. The study also recommended that governments increase government spending on infrastructure, invest in education and training, and increase government funding for research and development.
Exploring The Nature Of Industry-College Partnerships In China: Insights From The “China Model”
Authors: Yan Chen , Andin Christina
Published: July 2024

This paper studies the industry-college partnerships of the college and industry partners in four cases from Shandong Vocational College of Light Industry. Based on in-depth interviews, surveys and literature research, this paper explores the nature of industry-college partnerships from four aspects: course system construction, teaching process management, teacher management and practical teaching management, and developed a “China model” of industry-college partnerships.
Transformasi Pengajaran Tata Bahasa Arab dalam Buku 'Maharah Lughawiyah' karya Rusydi Ahmad Thu’aimah
Authors: Rochimul Umam  , Nasiruddin
Published: July 2024

Bahasa adalah alat utama dalam penyebaran ilmu, komunikasi antarbudaya, dan pewarisan peradaban. Pengajaran bahasa Arab memiliki peranan penting dalam pendidikan, terutama di negara-negara Islam. Dalam pengajaran bahasa, tiga elemen kunci adalah suara, kata, dan struktur, dengan tata bahasa atau "tarkib" menjadi aspek vital untuk memastikan ketepatan makna. Artikel ini mengulas tingkatan studi tata bahasa dalam pengajaran bahasa Arab berdasarkan penelitian Rusydi Ahmad Thu’aimah. Thu’aimah mengidentifikasi tiga tingkat pengajaran tata bahasa: pemula, menengah, dan lanjutan, dengan fokus berbeda pada setiap tingkat. Pendekatan deskriptif dan analitis digunakan dalam penelitian ini, dengan data dikumpulkan dari literatur akademik dan penelitian lapangan. Hasilnya menunjukkan bahwa metode pengajaran yang tepat dan pengklasifikasian materi berdasarkan tingkatan pelajar dapat meningkatkan pemahaman dan keterampilan berbahasa Arab. Namun, tantangan masih ada dalam pengajaran tata bahasa Arab bagi non-penutur asli, sering kali disebabkan oleh metode pengajaran yang tidak sesuai. Pembaruan dalam program pengajaran tata bahasa diperlukan agar sesuai dengan tingkat pemahaman pelajar, menggunakan metode pembelajaran yang efektif seperti deduktif, induktif, problem solving, gramatikal, dan terjemah gramatikal. Pendekatan bertahap ini dapat membantu pelajar menguasai bahasa Arab secara lebih efektif.
Pensamiento económico del Profesor Giovanni Riva y su propuesta de Economía de Compañía
Authors: Merino Samuel , Nicolò Ferrari
Published: July 2024

Este es un estudio exploratorio, con enfoque cualitativo, de un primer avance de tesis doctoral, mediante el cual se analizarán los textos del profesor Giovanni Riva, filósofo, escritor literario, poeta y fundador de numerosas obras de solidaridad en favor de los más necesitados; principalmente en países de América Latina, como universidades y escuelas, entre otros.
Riva, a través de las iniciativas que realizaba, proponía una forma diferente de entender los recursos materiales y las propias capacidades; no solamente al servicio del individuo, sino, en favor de los demás. A esto lo llamaba: “Economía de Compañía”. Se considera que una revisión de las propuestas de la Doctrina Social de la Iglesia Católica de los temas sociales y económicos ayudará a una mayor interpretación de las ideas de Riva; por otra parte, se ha recurrido a teorías económicas ya estructuradas con visiones similares a las del autor en estudio, como lo es la propuesta de “Economía para la Vida” de Hinkelammert y Mora.
En el marco de las controversias entre la economía convencional y heterodoxa, se considera que este tipo de aportaciones económicas teóricas puedan contribuir siempre más al sentido de ser de la economía como ciencia social.
(In)segurança ontológica e processos de paz: perspectivas para a transformação de narrativas conflitantes em prol da construção de uma paz duradoura
Authors: Pellens Priscila Carolina
Published: July 2024

O artigo explora a relação entre os processos de busca por segurança ontológica e de construção da paz, bem como suas contribuições para uma paz inclusiva e duradoura. Parte-se do pressuposto de que a possibilidade de transformação de conflitos induz a produção de insegurança ontológica, em razão de afetar narrativas, rotinas e sistemas de significados enraizados nas sociedades/grupos beligerantes. Por meio da revisão da literatura, investiga-se formas de administração das chamadas ansiedades de paz, para abertura à possibilidade de mudança nas narrativas conflitivas, que conduza à transformação dos conflitos e a manutenção do estado de paz. Para tanto, explora-se tanto o papel da desecuritização como da implementação de políticas agnósticas, que permitem reconstrução de relações de inimizade por lógicas adversárias, possibilitando a coexistência pacífica e pluralista de narrativas múltiplas e contestatórias. Essa abordagem se relaciona às perspectivas críticas sobre a paz, que instruídas por uma sensibilidade pós-colonial, buscam combater a suposta universalidade da paz liberal em busca de um pluralismo ontológico. Outrossim, a coexistência de diversas concepções de paz, conforme as diferentes culturas e realidades sociais existentes, mostra-se essencial à construção de formas sustentáveis de paz e de segurança ontológica e, consequentemente, para a geração de uma paz positiva híbrida.
Supporting leadership development through mentoring
Authors: Rao Amra Saleem , Cate Tim , Pote Helen
Published: July 2024

You cannot teach a man anything. You can only help him discover it within himself.

– Galileo Galilei, Italian astronomer, physicist and engineer
Reflections on the NHS lothian psychological wellbeing after Covid-19 group sessions
Authors: Tandon Aiyana , Falla Joni
Published: July 2024

Long-Covid symptoms and increased psychological distress have been recognised to have had a significant longterm impact on those who were hospitalised due to Covid-19. To address the needs of this population, the Lothian Mental Health after Covid-19 Hospitalisation (MACH) Service developed and delivered a pilot group intervention which offered psychoeducation and a space to connect with others. The present article seeks to evaluate this group intervention, learning from its successes and challenges to better inform future interventions for this population.
Observing the Effects of Probiotics Combined with Rexine and Peptisonide Enteral Nutrition Guidance in Postoperative Intracerebral Hemorrhage Patients
Authors: Liu Fei , Zhao Ya-nan , Zhang Li-qian , Gao Nai-kun , Qiao Zhi-fei , Yao Jie
Published: July 2024

Objective: To investigate the therapeutic effects of probiotics combined with Rexine or Peptisonide enteral nutrition guidance in postoperative intracerebral hemorrhage (ICH) patients. Methods: Clinical data of 60 ICH patients treated at our hospital from May 2022 to January 2024 were retrospectively analyzed. The patients were divided into an observation group (OG) (probiotics combined with Peptisonide) and a control group (CG) (probiotics combined with Rexine), with 30 cases in each group. The comparison of neurological function scores, immunoglobulin levels, inflammation and infection markers, and adverse reactions between the two groups was conducted during the treatment process. Results: Before treatment, the two groups were comparable in terms of The National Institutes of Health Stroke Scale (NIHSS) scores, Immunoglobulin A (IgA), Immunoglobulin G (IgG), Immunoglobulin M (IgM), D-lactic acid, and Procalcitonin (PCT) levels (P>0.05). After treatment, the NIHSS scores significantly decreased in both groups, with a more pronounced reduction observed in the OG (P<0.05). Levels of IgA, IgG, and IgM significantly increased, with a more substantial rise in the OG (P<0.05). The D-lactic acid levels significantly decreased, and both the D-lactic acid and PCT levels were lower in the OG (P<0.05). The incidence of vomiting, gastric retention, and gastrointestinal bleeding did not differ significantly between the two groups (P>0.05), but the incidence of diarrhea and constipation was notably lower in the OG compared to the CG (P<0.05). Conclusion: The probiotic combined with Peptisonide enteral nutrition scheme significantly improves neurological function, enhances immunity, reduces inflammatory response, and decreases adverse reactions.
Educação sexual, pornografia e os impactos psicogênicos na disfunção erétil em homens cisgêneros jovens adultos
Authors: Andrade Ismael Mendes , Mota Luiz Henrique Silva , Mendes Adrielly dos Santos , Paz Camila Torres da , Silva Josenilde Couto da , Passos Nubia Cristina Rocha , Almeida Tatiane Santos Couto de
Published: July 2024

Este artigo tem como objetivo avaliar o consumo execessivo da pornografia e os seus impactos psicogênicos relacionados à disfunção erétil em homens cisgêneros jovens adultos. O adequado funcionamento sexual figura como um dos componentes fundamentais para influenciar positivamente o equilíbrio psicológico de um indivíduo. Quando a experiência sexual não atinge plenamente a satisfação, é classificada como disfunção sexual, originada por excitações em diversas fases do ciclo de resposta sexual. A exemplo da disfunção erétil (DE) que é caracterizada pela dificuldade total ou parcial em iniciar ou manter uma ereção que possibilite penetração até a ejaculação. O método estudo foi uma revisão narrativa com abordagem qualitativa, na perspectiva de corroborar premissas e expandir a compreensão de outras pesquisas, estimulando reflexões, pensamentos e debates. Os resultados destacaram que a DE está frequentemente relacionada a impactos no bem-estar psicológico e social dos homens, bem como em seus relacionamentos com parceiros/as, tornando-se, assim, uma importante causadora de diminuição na qualidade de vida. Portanto, a utilização excessiva de redes sociais, em especial o consumo abundante de pornografia na internet por parte de homens jovens, tem repercussões diretas no desenvolvimento da disfunção sexual. O envolvimento demasiado com conteúdo pornográfico pode acentuar a manifestação da DE. Contudo, é importante mencionar que o uso excessivo de redes sociais e o consumo excessivo de pornografia na internet também desempenham um papel significativo na inadequação sexual.
Vibrações em mãos e braços de operadores de motosserras: uma revisão sistemática
Authors: Brandelero Catize , Berger Gabriel , Silva Edvaldo Faour Coutinho da , Nunes Érika Jamily Alves , Russini Alexandre , Lovato Luana da Rosa , Silva Júnior Josias Alves da , Herzog Daniela
Published: July 2024

As motosserras são as principais máquinas utilizadas na colheita florestal semimecanizada, sendo os operadores expostos a problemas decorrentes de esforços ergonômicos, com destaque a fadiga, ruídos e vibrações. Neste sentido, o presente estudo teve por objetivo realizar uma revisão sistemática acerca das vibrações em mãos e braços de operadores de motosserras em âmbito nacional e internacional que reportam o uso dos padrões previstos em normativas específicas. Foram definidas as bases de dados para a seleção dos artigos a Web of Science, SciELO, ScienceDirect e Latindex, tendo-se o retorno de 65 artigos, dentre os quais foram selecionados 26 que abordaram os principais condicionantes de busca. Os resultados apontam o aumento das pesquisas partir do ano de 2009, onde 65,38% dos estudos de vibrações em operação com motosserras analisados foram realizados em países europeus, 26,93% na América do Sul e 7,69% na Ásia. Quanto as normativas adotadas, 57,69% apontou a ISO 5349 como referência. No entanto, 15,38% das pesquisas não mencionam os tipos de acelerômetros utilizados, aliado a 65,38% que não descreveram o procedimento de calibração. Em relação ao posicionamento dos transdutores, 88,46% informam o local de instalação dos sensores, porém 76,92% não descrevem o material utilizado na fixação. Ademais, 61,54% dos artigos avaliados ocorreram a campo, 7,69% em laboratório e 30,77% não citam o local; 73,08% declaram as espécies florestais utilizadas e 53,95% ao menos mencionam a cilindrada das máquinas utilizadas nos experimentos. Portanto, na proposição de novas pesquisas deve-se observar as normas específicas juntamente com os preceitos de descrição metodológica, a fim de comparabilidade futura dos resultados.
Post-war British Cinema: Constructing an Imagined Community Through National Cinema
Authors: Gegen Gegen
Published: July 2024

Benedict Andersons masterpiece Imagined Communities: Reflections on the Origin and Spread of Nationalism has influenced the discipline of national cinema greatly since its publication . This paper aims to decode British national cinema from the late 1940s to early 1960s to rediscover the situation of British society at that time through Andersons conception of imagined communities. Through reading closely on two representative British films A Matter of Life and Death (Emeric Pressburge, 1946) and Saturday Night and Sunday Morning (Karel Reisz, 1960), the paper portrays the great changes happened in Britain from the end of the the Second World War to the beginning of the 1960s.
Reflections and Prospects of China-Iran Relations under the Impact of COVID-19
Authors: He Zheng
Published: July 2024

The Corona virus causes major changes in the world, among which China-Iran relation is to change more or less under the influence. The worsened relations with the US of both countries are expected to push the two countries to have a more intimate friendship; the bilateral cooperation and the common interests of both countries also demonstrate a bright future. On the other hand, with the impediment of the second outbreak of the virus, the uncertainty of Iranian attitudes, and the impact of other countries, the improvement of the bilateral interactions is not all plain sailing. The essay aims to give analyses on these factors as well as some reasonable predictions.
Rethinking the Debate over Motherhood Protection During the Taisho Period
Authors: Li Kexuan
Published: July 2024

Motherhood protection means that the government provides protective measures to help mothers during pregnancy and childbirth. During Taisho period, there was a heated discussion over motherhood protection among feminists. The leading feminists in this discussion, Hiratsuka Raicho and Yosano Akiko, held totally opposed ideas towards motherhood protection. It is worth noting that the differences in their views are mainly due to their different life experiences. This heated debate lasted for several years, although it did not reach a concrete conclusion, it left a valuable legacy for later generations of feminists. Analyzing the reasons for their different attitudes and exploring the theoretical logic behind their different attitudes can provide lessons for solving the problems of low fertility and motherhood protection in Japan and the world today. To truly protect women's interest and promote gender equality, motherhood protection should focuses more on the plight of women due to childbirth than national interest, making becoming a mother no longer be an obstacle to women's self-achievement and personal independence.
Portfolio Designed Based on Markowitz Model in Terms of Wine Industry of China
Authors: Wan Wangfangyu
Published: July 2024

Contemporarily, China's Wine industry has a special social status because of the prevalence of the culture of drinking. Since the 21st century, the Wine industry has flourished, and the stock price has risen sharply, which makes it become the favorite object of plenty of investors. Facing the unexpected COVID-19, the Wine industry recovered and maintained a rising trend immediately after a short blow, showing its strong risk resistance. In order to find the best investment strategy for Wine industry, this paper applies the financial analysis method to screen out stocks worth investing and the Markowitz modelto determine the optimal portfolio as a reference for investors with quantitative analysis. To be specific, several typical stocks in the industry are chosen and the effective frontier is obtained. According to the models, the performances of the optimal case are illustrated and demonstrated. These results shed light on guiding further exploration of Wine industry and other similar industries.
The Adaptability of Costa Coffees Organisational Management in Its Sinicization Operation
Authors: Zeng Ni
Published: July 2024

The research aims to understand the difficulties that Costa Coffee is facing during its development in China. Key research findings indicate that marketing strategy, low brand awareness and high turnover are the main issues for Costa Coffee. Furthermore, Costa Coffees current challenges could result in financial losses, failed market share acquisition, and eventual failure to grow in the Chinese market. Hence, it is critical to address the issues raised in this study related to Costa Coffee. This research demonstrates two suggestions based on organizational behavior theory related to solve the existing issues. With the help of Maslows hierarchy of needs and McGregors Theory X and Theory Y, Costa Coffees current challenges in the Chinese market can be effectively solved.
Analysis of the Main Influencing Factors of Automobile Sales Based on Empirical Analysis
Authors: Guan Wei
Published: July 2024

The automobile industry has always been an essential pillar of China's national economy, but its rapid development needs strengthening. The renewal of tradi-tional fuel vehicles to new energy vehicles will be a point of growth for the auto-motive industry, which will also reduce environmental pollution. Although the state strongly advocates for people to buy new energy, the effect is insignificant. This paper uses SPSS and SPSSPRO software to establish a linear regression model and conduct an empirical analysis of car production, car ownership, oil consumption, road mileage, GDP, and gross national income. According to the model results, the most significant impact on car sales is car production, and oil consumption, road mileage, and GDP also affect car sales. At the same time, most of the independent variables are correlated. According to the model results, relevant suggestions are put forward to help boost the sales of new energy vehi-cles to maintain the development of the automobile industry and protect the environment.
Research on path planning of 4-link robot based on optimized Q-learning algorithm
Authors: Liu Lili
Published: July 2024

In Q-learning algorithm, the balance between exploration and exploitation is crucial for the success of the entire algorithm. If the algorithm is too biased towards exploration, it may waste too much time on unnecessary paths, while if the algorithm is too biased towards exploitation, it may miss better paths. Ensuring the balance between exploration and exploitation in Q-learning algorithms requires comprehensive consideration of various aspects of the algorithm, including learning rate, state space representation, reward function design, policy selection, and addition of random noise. This paper proposes and verifies the construction of the state and action sets for a three-degree- of-freedom robotic arm within a specified space, where the reward values are reasonably set, and Q-learning with an introduced exploration factor is used as an improvement to prevent the robotic arm from insufficient exploration in action selection, which can lead to the algorithm failing to find a better strategy. The results of experiment illustrate that introducing the exploration factor can significantly enhance the convergence speed of the algorithm.
A bibliometric review of technical applications of deep learning in computer vision
Authors: Weng Gengjia
Published: July 2024

Computer vision is a field of Artificial Intelligence (AI), which is the field of technology that allows computers and systems to capture meaningful information from visual inputs such as images, videos, etc. through external cameras, data, and internal algorithms, and to take action or provide recommendations based on the captured information. Common application scenarios of computer vision are image recognition, image classification, object detection, pose detection, image segmentation, etc. In the era of artificial intelligence, computer vision plays the role of a "perceptron", which is the "eye" of the artificial intelligence era, and provides the "planning" and "decision-making" for the artificial intelligence. "Decision-making" provides an effective source of information and information support, and promotes the breakthrough development of computer vision technology while realising the iterative update of AI technology. By 2022, the market value of this field reaches $48.6 billion. In this paper, a visual knowledge graph data analysis of relevant literature on Web of Science (WOS) and China National Knowledge Infrastructure(CNKI) was conducted through CiteSpace. Among them, it focuses on analysing the development trend of image restoration technology based on diffusion model, which provides some help for scholars to carry out research.
Predicting game popularity through graphic modeling
Authors: Wu Siyuan , Yang Tingting
Published: July 2024

The gaming industry has been a profitable area. But recently given the saturation of the market where there are more than 100,000 games on steam, each game must under go careful planning prior to its release. The planning often involves making sales predictions given various features of the game. Our model incorporates a graphical neural network in making binary classification using data provided by the Steampower APl. There exists prior methods such as deep factorization machine, random forest, and graph convolutional network in targeting similar issues but none of them have been used to analyze game popularity. Referring to Tab GNN, we first implemented a multiplex graph embedding using the features obtained from Steam power then applied GCN conv to enhance the learning of graphical embedding. These embeddings were then fed into a 3-layer-DNN to make binary predictions. Experiments with other baseline models were conducted showing that our model is possible in making relatively more accurate results in predicting game popularity.
The impact of big data on the sports industry: Enhancing athlete training, evaluation, and minority empowerment
Authors: Shao Bo
Published: July 2024

The sports industry has witnessed a transformative shift with the advent of big data technologies. This paper explores the profound influence of big data on athlete training and evaluation, examining how it has emerged as a catalyst for empowering athletes from minority backgrounds. By leveraging vast amounts of data, sports organizations and athletes gain valuable insights, make informed decisions, and optimize performance. Traditional, subjective methods of athlete evaluation are being replaced by objective, data-driven approaches that provide a more accurate assessment of performance. Big data also promotes inclusivity within the sports industry by identifying talented individuals from minority backgrounds who may have been overlooked in the past. Several case studies highlight the role of big data in revolutionizing sports, such as its use in basketball for improved decision-making and soccer for optimized training regimens. In conclusion, big data transforms athlete training, evaluation, and inclusivity in sports while shaping the future of the industry.
Prediction of cardiovascular disease based on machine learning
Authors: Li Jiesi
Published: July 2024

Cardiovascular disease is one of the deadliest diseases worldwide, causing millions of deaths every year. Major risk factors include hypertension, hyperlipidemia, smoking, unhealthy diet, and lack of physical activity. To achieve a simple and effective prediction of cardiovascular disease, a study comparing the performance of common machine learning algorithms was conducted. The dataset used in this research consists of a population of 70,000 individuals from Kaggle. During the data processing phase, abnormal values within the feature variables were removed, and a BMI feature variable was added to the dataset to visualize the relationships between the data more intuitively. Deep neural networks were used to predict cardiovascular disease and were compared with eight traditional machine learning algorithms with respect to accuracy, F1 score, PR and ROC. The results indicated that the deep neural network (DNN) is the optimal model for predicting cardiovascular disease.
Comparative analysis of typical UCB algorithm performance
Authors: Qin Mengmeng
Published: July 2024

Amidst the burgeoning Internet service industry, there's an escalating demand for robust recommendation systems. To cater to this need, this study meticulously examines the UCB algorithm, renowned within the Multi-Armed Bandit (MAB) paradigm. Through a meticulous comparative analysis, distinctions between the classic UCB approach and its modern counterpart, the randomized UCB, are drawn, with an emphasis on their performance on real-world datasets. The empirical findings accentuate the proficiency of the randomized UCB. It showcases a measured growth rate and a notably reduced overall regret. These results are more than mere statistical data; they attest to the randomized UCB's unparalleled efficiency in practical environments. Furthermore, the insights gleaned can potentially spur cutting-edge developments in recommendation system algorithms, setting a new benchmark in the domain. Conclusively, as the digital realm remains ever-evolving, this research vehemently advocates for the relentless refinement of algorithms, ensuring they remain adept at navigating the intricacies of the modern digital landscape.
Exploring the current status and application of machine learning in disease risk prediction models in medical examination
Authors: Xiao Shengyu
Published: July 2024

As the aging population problem continues to grow in Asia, an efficient medical examination system based on machine learning will be required. By detecting diseases early, healthcare professionals can provide early interventions and treatments to improve patient's quality of life and overall health outcomes. Therefore, this paper explores the feasibility of utilizing disease risk prediction models based on lifestyle factors in medical examinations and examines possible implications that could arise from applying such models. This study aims to discuss the potential application of machine learning in disease risk prediction models based on lifestyle factors, such as heart disease and cancer, in medical examination. The aim is to use machine learning models in medical examinations to detect diseases in their early stages. The lifestyle factors can be collected through forms and put into a general machine learning model. There will be three machine learning models that could be used as references, which could be used to support the idea's feasibility.
The prediction of suicide rate based on machine learning
Authors: Luo Tianzhuo
Published: July 2024

Suicide rates have a profound impact on individuals and society, making it a significant social issue warranting extensive research. To predict and understand suicide rates, researchers employ various methods, including social science research, psychological surveys, and data analysis. The principal aim of this investigation was to develop a reliable forecasting model that can accurately predict suicide rates and provide credible references for relevant populations. In this research, multiple machine learning and deep learning methods, Neural networks, Random Forests, and Support Vector Machines (SVM) were among the learning techniques used., and XGBoost. These methods were chosen due to their effectiveness in handling complex and multidimensional data. The results demonstrated that a comprehensive analysis of multiple indicators was crucial, with neural networks yielding the best performance and SVM performing the worst. These research findings offer valuable insights into the factors influencing suicide rates and can inform the formulation of prevention and intervention strategies.
Sequential domain adaptive network in objection detection
Authors: Xie Ning
Published: July 2024

Recent advancements in object detection models heavily depend on annotated data, which often requires substantial time and resources to gather. To tackle this challenge, the field of unsupervised domain adaptive object detection focuses on adapting detectors trained on a labeled source domain for effective use in an unlabeled target domain. However, this process faces challenges such as high computational demands and instability in training, due to the significant discrepancies between domains. Our paper presents an efficient Sequential Domain Adaptive Network (SDAN) designed to incrementally minimize these domain differences. The network effectively mitigates the disparities in both initial and subsequent phases. We utilize the Fourier transform for spectrum switching, eliminating the need for training in this stage. To further address the issue of domain shift, the model employs unsupervised adversarial learning for the alignment of varying feature distributions. Extensive experiments demonstrate that our model exhibits strong performance against the most advanced domain adaptive object detection models currently available.
Trust the Process: Improving Translator Training Workshops
Authors: Morgan Paul Franklin
Published: July 2024

This practical paper aims to apply the advances in pedagogical principles of translator training to the overall conception and evaluation of translator training workshops, which form the core training environment for many Bible translators in Africa. Beginning with the essential principles as elaborated by Ernst-Kurdi (2017), namely, that translator training should be process-centered, participatory and collaborative, authentic, focused on priorities, and objectively evaluated, the author considers how these principles shape the development of the curriculum and the accountability structures of the training program. By reorienting training and evaluation around the processes of translation, and by implementing a social learning and accountability structure, workshops can become more effective.
O GRANDE SALTO NO VAZIO: ASPECTOS CLÍNICO-SOCIAIS DA SÍNDROME DA ADOLESCÊNCIA NORMAL
Authors: Matias Paulo de Tarso Alves , Assis Savio Vinnicius Macedo , Souza Juan Vitor Barboza , Silva Lorena Alves da , Dias Matheus Ribeiro Pinheiro , Martins Ingrid Susany Miranda , Santana Neto Sebastião Alves , Alves Alexandro de Almeida , Coutinho Renata Bechara , Pimentel Maria Nayane Xavier , Fiorentino Rafael Araújo , Melo Roberta Félix Garret de
Published: July 2024

A adolescência é definida como o período entre 10 e 19 anos de idade, no qual ocorre desenvolvimento social, espiritual, psíquico e comportamental. É necessário reconhecer a adolescência como uma etapa complexa por se tratar de uma fase que engloba mudanças esperadas e comuns, de ordem física, social e psíquica. Às mudanças comportamentais típicas da adolescência, dar-se o nome de Síndrome da Adolescência Normal. Este contexto engloba fatores marcados por distintos cenários sociais que são capazes de promover maneiras diferentes de viver a adolescência.  É fundamental que o médico seja capaz de reconhecer as nuances da Síndrome da Adolescência Normal, bem como sua relação com classe econômica, situação familiar, acesso à informação e à educação. A Síndrome da Adolescência Normal é explicada pela tendência contraditória que perpassa a adolescência. Trata-se do confronto entre o mundo infantil e o adulto, somado ao medo do desconhecido traduzido pela exigência de responsabilidade que acompanha as expectativas sociais. Um olhar holístico e consciente voltado para o público adolescente pode ser capaz de orientar e fortalecer a relação médico-paciente.
ИССЛЕДОВАНИЕ И АНАЛИЗ РАСЧЕТА КОНСТРУКЦИЙ НА ДЕФОРМИРУЕМОМ ОСНОВАНИИ
Authors: МАРУФИЙ А.Т. , ТУРДАЖИЕВА Э.Н. , АЛИЕВА А.П.
Published: July 2024

В данной статье произведен подробный обзор и анализ исследований расчета конструкций на деформируемом основании. Основной целью работы является выявления актуальных вопросов, представляющих научный и практический интерес, путем совершенствования существующих методов расчета. В статье предлагается введение параметров в исходное дифференциальное уравнение изгиба конструкций на деформируемом основании. В частности, учет неполного контакта конструкции фундаментов с грунтовым основанием, учет продольных усилий, приложенных в срединной плоскости балок и плит на упругом основании. Эти совершенствования могут наиболее полно отображать реальную работу конструкций фундаментов зданий и сооружений. Такого рода постановки задач в теории расчета конструкций на упругом основании ранее не рассматривались.
ANALISIS MAKNA TEMBANG DOLANAN LIR-ILIR MELALUI PENDEKATAN SEMIOTIK PADA KAJIAN BAHASA JAWA
Authors: Novaliana Selvia Eva , Setyawan Bagus Wahyu
Published: July 2024

Islam is the religion of rahmatan lil alamin or that which is divine for all of nature. The values contained in Islam have a very broad scope relating to various aspects of life. The spread of Islam in Java is growing rapidly brought by Walisongo, or what is called the nine Wali. One of the trustees who uses a unique preaching media is Sunan Kalijaga. He creates lir-ilir song, which without realizing it in this song, has a very meaningful meaning in life. The meaning in it awakens the Javanse people to always think about carrying out the pillars of Islam, and to improve themselves if they make mistakes. However, not everyone knows the meaning contained in the lir-ilir song. In this study, the overall meaning of the song lir-ilir will be examined using a semiotic approach. The semiotic approach here relates to the system of signs and symbols in human life.
PERAN KOMUNIKASI ANTARPRIBADI DAN KOMUNIKASI ORGANISASI DALAM MENJAGA TRADISI RUWAT BUMI DI DESA KARANGSARI, KECAMATAN KARANGANYAR, KABUPATEN PEKALONGAN
Authors: Hibrizi Azzam Nabil , Saffanah Syafika
Published: July 2024

Penelitian ini membicarakan tentang peran komunikasi antarpribadi dalam menjaga tradisi Ruwat Bumi di Desa Karangsari, Karanganyar, Pekalongan. Saat ini, budaya lokal dapat terkikis oleh budaya asing yang masuk. Maka, diperlukan adanya usaha yang kuat untuk menjaga budaya lokal itu. Hadirnya komunikasi antarpribadi mampu menjaga kebudayaan. Komunikasi antarpribadi sendiri memiliki pengertian komunikasi yang bisa dilakukan antar individu tanpa bertemu secara langsung. Terdapat tiga tahap upaya utama yaitu pengetahuan, perencanaan, serta kreativitas. Peneliti memakai metode kualitatif dengan pengumpulan data berupa wawancara dan pengamatan (observasi). Data primer didapatkan dari hasil wawancara. Sedangkan data sekunder didapatkan dari buku dan karya ilmiah. Hasil penelitiannya ialah melalui tiga upaya utama tersebut didapatkan beberapa poin penting. Tahap pengetahuan didapatkan dari informasi para sesepuh. Tahap perencanaannya, ketika para ketua RT dan warga dikumpulkan secara kolektif untuk menentukan tanggal pelaksanaan acara. Tahap kreativitasnya, pada saat acara diselingi dengan pengundian doorprize supaya menarik generasi muda. Beberapa upaya tersebut dilakukan untuk menjaga tradisi yang sudah turun temurun supaya tidak hilang, dan tentunya dalam hal ini komunikasi antarpribadi dan komunikasi organisasi mengambil peran penting dalam terlaksananya tradisi Ruwat Bumi yang berhasil bertahan hingga saat ini.
Adaptation of Directorate General of Taxes employees participating in the Internal Job Vacancy (IJV) program
Authors: Solikhatin Lulus , Utomo Rachmad
Published: July 2024

This research aims to investigate the considerations of employees at the Directorate General of Taxes in participating in the Internal Job Vacancy (IJV) program and their post-placement adaptation practices in the recent workplace. The study adopts a qualitative approach by interviewing individuals who have successfully completed the IJV program and are affiliated with the Directorate General of Taxes. The research describes the various considerations reported by the participants regarding their decision to participate in the IJV program, which are then compared with relevant theories and categorized into four main categories: homebase, passion, organizational policies, and job satisfaction. Furthermore, the research also explores the phenomenon of culture shock and adaptation practices in the recent workplace. The adaptation practices are classified into two categories: job-related and equipment-related adaptation, as well as adaptation with colleagues. Job-related and equipment-related adaptation involves employees participating in training, engaging in self-directed learning, and adopting a "learning by doing" approach. On the other hand, adaptation with colleagues involves open communication and familiarizing oneself with communication practices, including hierarchical communication with managers, within the work environment.
A Comparative Analysis of Apache Spark Dataframes over Resilient Distributed Datasets (RDDs)
Authors: Sahni Ashima
Published: July 2024

Apache Spark is a widely used technology now a days for handling huge datasets in applications due to its flexibility, scalability, robustness, speed and integration with multiple programming languages like Java, Scala, Python. It provides multiple methodologies for implementation like dataframes, RDDs with these programming languages. This paper provides a deep overview of Apache spark dataframes usage for performance enhancement over Apache Spark Resilient Distributed Datasets (RDDs) and SQL based data processing. Spark dataframes are widely used in managing and processing large datasets which can be structured, non-structured or semi-structured. This paper describes the approach towards Spark dataframes for performance enhancement for large data processing in place of traditional usage of Spark RDDs with practical examples and use cases. It highlights the key points on why to use dataframes for a better performance achievement for any application where large dataset needs to be processed into a meaningful output.
Facile and Green synthesis of Novel Fluorescent CQD’S from Calotropis Gigantea (blue) Leaves for Photocatalytic Degradation of Dyes
Authors: Mallikarjuna Dr B
Published: July 2024

A sustainable, economical, and efficient method for producing biocompatible novel fluorescent carbon quantum dots (CQD’s) using the leaves of medicinal plant Calotropis gigantean by using microwave assist method. The obtained CG CQD’S were characterized by UV-Visible spectrophotometer, Fourier Transform Infrared Spectroscopy(FTIR), X-Ray diffraction(XRD), Dynamic light scattering (DLS) and Fluorescence spectroscopy. The synthesized carbon quantum dots (CQD's) are used to study the photo catalytic dye degradation of Bromophenol and Rose Bengal. The photocatalytic degradation of rose bengal by CQD’S with two different concentrations (50μg/ml and 100μg/ml ) was 18.5% and 35.33% degradation respectively. The photocatalytic degradation of bromo phenol blue by CQD’S with two different concentrations (50μg/ml and 100μg/ml) was 19.7% and 36.14 % degradation respectively. Keywords; Green synthesis, Calotropis Gigantea(CG),Carbon quantum dots, Photocatalytic, Rose Bengal, Bromphenol.