bluuebunny/crossref_metadata_2025 huggingface dataset:
Revolutionizing Leather Industry Wastewater Treatment: A Game-Changing Approach for Sustainable Environmental Management
Authors:   Department of Zoology, West Bengal State University, Berunanpukuria, North 24 Parganas –700126, West Bengal, India., Mallick Md. Abu Imran , Malakar Riya ,   Department of Zoology, Rishi Bankim Chandra College, Naihati, West Bengal 743165, India., Ghorai Narayan ,   Department of Zoology, West Bengal State University, Berunanpukuria, North 24 Parganas –700126, West Bengal, India., Saha Aloke ,   Department of Zoology, University of Kalyani, Kalyani 741235, Nadia, West Bengal, India., Mukherjee Pronoy ,   Department of Zoology, Rishi Bankim Chandra College, Naihati 743165, West Bengal, India., Sanyal Tanmay ,   Department of Zoology, Krishnagar Govt. College, Krishnagar, West Bengal 741101, India.
Published: March 2024

The substantial volume of wastewater generated by the leather industry, laden with high levels of pollutants, poses a significant environmental threat. Without proper treatment, the discharge of such wastewater could have severe and detrimental effects on the environment. The treatment of wastewater in the leather industry is pivotal for mitigating environmental impacts and represents a cornerstone of sustainable environmental management. The industry not only minimizes its environmental impact but also aligns with and contributes to various sustainable development goals (SDGs). The industry’s commitment to responsible practices is demonstrated by employing diverse methods such as BOD, chlorides, COD, Cr (III), heavy metals, sulfates, and TDS. This includes adsorption, biochemical/biological treatment, chemical precipitation, Electro-coagulation, Fenton oxidation, hybrid processes, ozonation, electro-oxidation, photo-catalytic ozonation, and physical treatment. Moreover, a sustainable approach involves the recovery of valuable substances from the treated wastewater. The solid waste generated, particularly after chromium removal, contains minerals such as phosphorus (P) and potassium (K), which are categorized into 4R (reduce, reuse, recycle, and recover) dimensions. Integrating advanced wastewater treatment methods and resource recovery processes in the leather industry not only helps mitigate environmental impacts but also aligns with broader sustainability objectives, embodying a responsible and forward-thinking approach to wastewater management. Combining effective wastewater treatment in the leather industry is a cornerstone of sustainable environmental management. The emphasis on recovering valuable substances and repurposing solid waste underscores a holistic and responsible approach toward resource utilization. This comprehensive strategy indeed reflects a commitment to environmental stewardship and sustainability in the leather industry.
Utilizing Climate Physics: Advancing SDG 13 with Integrated Low Carbon Energy from Diverse Sources – A Glimpse Ahead
Authors:   Department of Physics under Basic Science & Humanities, Narula Institute of Technology, Agarpara,Kolkata, West Bengal 700109., Chatterjee Soumya , Mukherjee Pronoy ,   Department of Zoology, Rishi Bankim Chandra College, Naihati, West Bengal, India., Saha Aloke ,   Department of Zoology, University of Kalyani, Kalyani 741235, West Bengal, India., Sen Koushik ,   Department of Zoology, Jhargram Raj College, Jhargram, West Bengal, India., Das Raju ,   Assistant Secretary (Administration), West Bengal Council of Higher Secondary Education,Vidyasagar Bhavan, Karunamoyee Block DJ, Sector II, Salt Lake City Kolkata 700091, W.B., India., Sanyal Tanmay ,   Department of Zoology, Krishnagar Govt. College, Krishnagar 741101, West Bengal, India.
Published: March 2024

This study examines the crucial role of climate physics in advancing Sustainable Development Goal (SDG) 13, “Climate Action,” through the incorporation of low-carbon emission energy derived from both traditional and unconventional sources. As the international community grapples with the urgent imperative to address climate change, a profound understanding of the intricate dynamics of climate physics is essential for formulating effective solutions. This research delves into the intricacies of climate physics, exploring how they can be utilized to facilitate the shift towards sustainable energy systems. The investigation draws insights from a spectrum of energy sources, encompassing conventional options like solar, wind, and hydroelectric power, alongside nonconventional sources such as geothermal and tidal energy. The primary objective of this study is to showcase the viability and effectiveness of integrating a diverse range of energy resources to mitigate carbon emissions. Through a thorough examination of existing literature and case studies, this project aims to provide a glimpse into the prospective future of energy systems marked by diminished environmental impact and heightened resilience to climate change. By elucidating the synergies between climate physics and sustainable energy technologies, this research endeavours to furnish practical insights for policymakers, energy professionals, and stakeholders engaged in the pursuit of SDG 13. Ultimately, harnessing climate physics as a catalyst for integrating sustainable energy holds substantial potential to propel global initiatives toward a more resilient, low-carbon future.
THE ROLE OF ERYTHROPOIETIN IN A RAT MODEL OF RENAL ISCHEMIA/ REPERFUSION INJURY
Authors: Kartal Bahar , Bozkurt Mehmet Fatih , Alimoğulları Ebru , Saçık Uygar
Published: March 2024

Objective: A powerful activator of erythroid progenitor cells, erythropoietin (EPO) is markedly elevated during hypoxia. A major cause of renal cell death is renal ischemia caused by artery blockage or organ transplantation, and reperfusion exacerbates the damage. The study aimed to investigate the effect of EPO treatment on renal injury following ischemia and reperfusion (I/R).
Method: Thirty rats assigned to five groups of six rats each as control, EPO, ischemia, ischemia/reperfusion (I/R) and I/R+EPO.The renal tissue samples were evaluated in terms of hematoxylin-eosin (H&E) staining for histopathological changes, immunoexpression of Beclin-1 for autophagy, and the TUNEL assay for apoptosis.
Results: The H&E staining showed the impairment in the tubular epithelium, glomerular and peritubular hemorrhage in the renal tissues of I/R group. Less histopathological changes were observed in I/R + EPO group. Renal tissue Beclin-1 immunoexpression and TUNEL positive cells were significantly increased in the I/R group compared with the others (p
Pengaruh Karakteristik Kepala Daerah Terhadap Kinerja Pemerintah Daerah Provinsi di Indonesia
Authors: Bunadi Ilik , Saputro Derdjo Djony , Nurmalasari Nurmalasari
Published: March 2024

Kepala daerah memiliki peran penting dalam pengambilan keputusan dan kebijakan di masing-masing pemerintahan daerah. Peran kepala daerah dalam mengambil keputusan harus benar-benar dipikirkan secara matang dan efektif agar keputusan yang diambil tidak merugikan pemerintah maupun masyarakat setempat. Hasil pengambilan keputusan kepala daerah dapat dinilai dari kinerja penyelenggaraan pemerintah daerah. Dalam penelitian ini ukuran kinerja tersebut dilihat dari rasio derajat desentralisasi. Diduga karakteristik kepala daerah berpengaruh terhadap kinerja pemerintah daerah. Indikator karakteristik kepala daerah yang digunakan dalam penelitian ini yaitu rekam jejak (birokrat), usia, dan masa jabatan. Penelitian ini menggunakan pendekatan kuantitatif. Data diperoleh dari data laporan keuangan pemerintah daerah (LKPD) periode 2015-2019. Sampel ditentukan sebanyak 170 data pengamatan, yang merupakan data laporan keuangan pemerintah daerah dari 34 provinsi di Indonesi selama periode pengamatan. Hasil penelitian menunjukkan bahwa seluruh indikator karakteristik kepala daerah tidak berpengaruh terhadap kinerja pemerintah daerah.
L'esposizione dei bambini e degli adolescenti a messaggi di odio e immagini violente online
Authors: Marchetti Federico
Published: March 2024

Un numero impressionante ed inatteso: la consapevolezza, l'educazione (ci riguarda) e i passi concreti da fare (industria e governi)
Arap Dilinde İştirâk-i Lafzî ve Kur’ân’daki Yeri
Authors: Aydın Mustafa
Published: March 2024

Çok anlamlılık (iştirâk-i lafzî, polysemy), her dilde görüldüğü gibi Arap dilinde de bulunmaktadır. Erken dönemlerden itibaren Arap dilcileri iştirâk-i lafzî konusunda çeşitli çalışmalar yapmışlardır. Dilcilerin çoğu iştirâk-i lafzînin dildeki varlığını kabul ederken bazıları bunu reddetmiştir. Her grup kendi görüşünü destekleyen birtakım gerekçeler ileri sürmüştür. Arap dilinde bir kelimenin birden çok anlama sahip olması demek olan bu konu için genellikle “el-iştirâkü’l-lafzî” tabiri kullanılmakla birlilkte, “el-iştirâk”, “el-müşterek” ve “el-müşterekü’l-lafzî” başlıklarının -özellikle sonraki dönemlerde- da kullanıldığı görülmektedir. Arap dilinin en eski yazılı kaynaklarının başında gelmesi nedeniyle konunun Kur’ân-ı Kerîm’de araştırılması ile Arap dilinde (şiir ve nesir) araştırılması eş zamanlı olmuştur. Arap dilcileri, bu konunun lafızların lügavî delaletlerinin kısımlarından biri olması nedeniyle benzerlik, zıtlık ve çelişiklik yönünden iştirâk-i lafzîyi “mütebâyin”, “müterâdif” ve “mütezâd” ile karşılaştırma yoluna gitmişlerdir. Bu çalışmada iştirâk-i lafzinin sözlük ve terim anlamı, iştirâkin Arap dilinde varlığı hakkındaki tartışmalar, varlığını kabul eden ve etmeyen dilciler, iştirâki doğuran sebepler, iştirâkin olumlu ve olumsuz etkileri hakkında bilgi verilmiştir. Son olarak Kur’ân ilimlerinden olan vucûh ve nezâir konusuna değinilerek iştirâk-i lafzî ile ilişkisine işaret edilip Kur’ân-ı Kerîm'den örnekler sunulmuştur.
Consecuencias anatómicas y funcionales de la masticación unilateral en el sistema estomatognático
Authors: Sosa Gallegos Daniela , Ubilla Mazzini William
Published: March 2024

La masticación unilateral, un fenómeno común sin causas bien definidas, puede tener efectos negativos en la oclusión, como dolor en la ATM, problemas de masticación, desgaste dental, asimetrías faciales, acumulación de placa bacteriana, hipoacusia y atrofia de cóndilos. Detectarla temprano es crucial para evaluar sus consecuencias anatómicas y funcionales en el sistema estomatognático y mejorar los tratamientos. Objetivo: Determinar las consecuencias anatómicas y funcionales de la masticación unilateral en el sistema estomatognático. Materiales y Métodos: Investigación de enfoque cuantitativo, de tipo descriptivo. Se aplicaron métodos analítico, sintético y estadístico. El universo fue de 160 docentes de pregrado y posgrado de la facultad de Odontología de la Universidad de Guayaquil. La muestra fue de 35 especialistas en Ortodoncia y Rehabilitación Oral. Se aplicó una encuesta para conocer el nivel de conocimiento y experiencias de los docentes sobre la masticación unilateral por medio del análisis de 5 dimensiones. Resultados: el sexo mas predominante de la masticación unilateral fue el masculino y la edad entre 20 a 30 años. La inspección clínica constituyó el método de diagnóstico mas utilizado, adicional indicaron que se puede presentar en ambas arcadas. Es mas frecuente en la dentición permanente. La falta o pérdida prematura de piezas dentarias es la causa mas común, y el dolor en la ATM la alteración predominante. Mientras que la rehabilitación neuroclusal es el tratamiento de elección. Conclusión: es importante para el odontológo conocer métodos de diagnóstico y planes de tratamientos efectivos que permitan la corrección de la mordida unilateral para devolver la funcionalidad y estética del sistema estomatognático.
PREPARATION AND EVALUATION OF MELOXICAM CHEWABLE TABLETS FOR BETTER ORAL DELIVERY
Authors:   College of Pharmacy, PGIMS (SDPGIPS) Pt. B. D. Sharma University of Health Sciences, Rohtak-124 001, Haryana, India, Sharma Garima , Dhall Manish
Published: March 2024

In the current study, meloxicam (MXM) chewable tablets were formulated and evaluated with an aim of improving its solubility, bioavailability and masking its bitter taste in order to create an effective oral drug delivery system. Meloxicam (BCS class II drug), non steroidal anti-inflammatory drug (NSAID) with analgesic and antipyretic properties, acts by inhibition of prostaglandin synthetase leading to inhibition of prostaglandin synthesis. MXM chewable tablets were made by three different techniques: AG (aqueous granulation), NAG (non-aqueous granulation) and DC (direct compression). The chewable tablets of MXM so prepared were assessed for various parameters, namely, palatability test, hardness, weight variation, mechanical strength, disintegration, friability, percent assay and in vitro testing for dissolution profile. The variation found in dissolution profile for all prepared batches was in the order: DC>NAG>AG. The percent assay was found within the range (90-110%). Observations from palatability study showed good overall tolerance levels for DC and AG and moderate tolerance levels for NAG.
Development of Proteasome Inhibitors for Cancer Therapy
Authors: Chen Xu , Wu Xuan , Li Linyan , Zhu Xiaoming
Published: March 2024

Review
Development of Proteasome Inhibitors for Cancer Therapy

Xu Chen † , Xuan Wu † , Linyan Li, and Xiaoming Zhu *

State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau SAR, 999078, China
* Correspondence: xmzhu@must.edu.mo
 
 
Received: 12 January 2024
Accepted: 19 February 2024
Published: 18 March 2024
 

Abstract: The ubiquitin proteasome system (UPS) is considered a crucial degradation machinery in cellular processes of protein quality control and homeostasis. Dysregulation of the UPS is closely associated with many diseases. The proteasome is a key core component of the UPS, which can prevent the accumulation of misfolded proteins and regulate various cellular processes such as cell cycle, apoptosis, and immune responses. In the past two decades, a total of three proteasome inhibitors have been approved for the treatment of hematological malignancies, including bortezomib, carfilzomib, and ixazomib. Additionally, accumulating reports have suggested that some natural product-derived proteasome inhibitors have been developed as anti-cancer drug candidates. In this review, we summarize the development of proteasome inhibitors as well as the mechanisms involved, clinical application progress, and drug resistance. The natural products of proteasome inhibitors and their future perspectives will also be discussed.
Breaking Boundaries: Novel Effects of Levosimendan in Various Diseases
Authors: Zhang Hongyuan , Zhao Minxing , Liu Yanrong
Published: March 2024

Review
Breaking Boundaries: Novel Effects of Levosimendan in Various Diseases

Hongyuan Zhang 1, Minxing Zhao 2, and Yanrong Liu 1,3,*
1 Michael Smith building, Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, M139PT Manchester, UK.
2 Loreto High School, Chorlt on, M217SW Manchester, UK.
3 The Department of Cardiology, the 1st Affiliated Nanjing Medical University, 300 Guangzhou Road, Nanjing, China.
* Correspondence: yanrong.liu@manchester.ac.uk

 
 
Received: 6 February 2024
Accepted: 23 February 2024
Published: 18 March 2024
 

Abstract: Levosimendan, an inodilator that has been applied in clinical use for over two decades, has transcended its initial indication in the management of acutely decompensated chronic heart failure. Over the years, it has been adopted in septic shock, perioperative use of cardiac surgery, advanced end-stage heart failure, and has shown potential for inhaled administration, highlighting its versatility. Levosimendan has diverse mechanisms of action which mediate its non-traditional uses. Ongoing research aims to expand our understanding and develop personalized treatment strategies for the use of levosimendan. The significance of levosimendan in acute decompensated heart failure and cardiogenic shock, highlights its evolving role in contemporary cardiovascular medicine. This comprehensive review explores its pharmacodynamics, effects, and the challenges and opportunities it presents in various clinical settings. We describe levosimedan’s expanding usage, ranging from septic shock, intermittent intravenous in advanced heart failure, perioperative cardiac surgery and pulmonary hypertension management by inhaled levosimendan as well as its future prospects.
O papel do educador: transformando o ensino de primeiros socorros com jogos interativos
Authors: Cabanha Regiane Santana da Conceição Ferreira , Paiva Geilson Mendes de , Abreu Tamaia Batista , Nunes Jordson Kaique Oliveira , Marceliano-Alves Marília Fagury Videira , Almeida Filho Rogério Benedito , Romeiro Edenilze Teles , Campos Adilson Gomes de , Barbosa Thays Menezes Guimarães , Zanoni Rodrigo Daniel
Published: March 2024

O papel do educador é fundamental na construção de uma sociedade mais segura e preparada para lidar com situações de emergência. No contexto do ensino de primeiros socorros, sua influência é crucial para capacitar os indivíduos a agirem de forma eficaz e rápida diante de eventos adversos.O objetivo do estudo é é investigar e analisar o papel fundamental do educador no contexto do ensino de primeiros socorros por meio da utilização de jogos interativos. Trata-se de uma revisão integrativa, com buscas entre setembro de 2023 e fevereiro de 2024,  nas bases de dados  SciELO; BVS e Google Acadêmico, foram usados os descritores "Jogos", "Educador", "Primeiros Socorros" e "Material de Ensino". Foram usados apenas estudos em português, livres para acesso e dentro do recorte temporal  de 2016 e 2024. Estudos repetidos e fora do escopo foram eliminados. Apenas 12 artigos compuseram a amostra final. De acordo com os estudos, os educadores promovendo uma conexão significativa entre os conceitos explorados nos jogos e suas aplicações práticas no mundo real. Através dessa abordagem contextualizada, os estudantes são incentivados não apenas a adquirir conhecimento, mas também a desenvolver habilidades tangíveis, como ressuscitação cardiopulmonar (RCP), tratamento de ferimentos e identificação de condições médicas agudas. Essa integração eficaz entre teoria e prática não apenas fortalece o aprendizado, mas também prepara os alunos para enfrentarem desafios do dia a dia com confiança e competência. Em conclusão, os educadores atuam como guias, facilitando o acesso dos alunos aos recursos disponíveis e fornecendo orientações sobre como utilizar essas ferramentas de forma eficiente.
Teoria histórico-cultural e a relação entre o uso das tecnolo-gias assistivas na educação infantil e nos primeiros anos do ensino fundamental
Authors: Almeida Siderly do Carmo Dahle de , Spada Ana Paula Pedrina , Lemes Silmara Pimentel Barbosa
Published: March 2024

O texto aborda a importância das tecnologias assistivas na educação, fundamentada na Teoria Histórico-Cultural de Lev Vygotsky, destacando seu papel na promoção da inclusão e do desenvolvimento humano. A revolução digital tem modificado todos os aspectos da vida cotidiana, inclusive a educação, e as tecnologias assistivas emergem como ferramentas essenciais para facilitar o acesso ao conhecimento e à aprendizagem para crianças com diferentes capacidades. A Teoria Histórico-Cultural enfatiza que o desenvolvimento humano é influenciado pelo contexto social e cultural, sugerindo que a aprendizagem é um processo social que ocorre através da mediação. As tecnologias assistivas, nesse sentido, servem como mediadores, permitindo que crianças com deficiências ou dificuldades de aprendizagem participem ativamente do processo educacional. Estas tecnologias compensam limitações físicas, cognitivas ou sensoriais e promovem a autonomia e a inclusão social das crianças. O artigo destaca a necessidade de uma integração efetiva da tecnologia no currículo educacional, o que vai além da mera inserção de novas ferramentas. Para que a tecnologia tenha um impacto significativo, é necessário que ela seja integrada de maneira a atender às necessidades específicas dos alunos. Isso implica um desafio para os educadores, que devem se formar para utilizar essas ferramentas de forma eficaz, alinhando-as aos princípios pedagógicos e às necessidades de seus alunos. O texto faz uso da metodologia "Estado da Arte" para analisar a produção acadêmica e científica sobre o uso de tecnologias assistivas na educação, identificando tendências, debates e lacunas no conhecimento existente. Isso oferece uma visão abrangente dos avanços e desafios na integração das tecnologias assistivas no contexto educacional, fornecendo uma base sólida para pesquisas futuras. Conclui-se que as tecnologias assistivas, quando alinhadas com a Teoria Histórico-Cultural e integradas de forma eficaz ao ambiente educacional, têm o potencial de transformar a educação, promovendo a inclusão e maximizando o desenvolvimento de todas as crianças.
Otimização da produtividade agrícola e altos lucros em pequenas propriedades: uma abordagem integrada de modelagem matemática e agricultura familiar
Authors: Silva Carla Michelle da , Luciano Bernardo Hamuyela , Silva Cássia Mara Alexandrino , Lima Mariel Wágner Holanda , Almeida Lucilo José Morais de , Silva Lucas Santos da , Barreto Daniel de Jesus , Santos Maria Neuman , Silva Jakeline Florêncio da , Oliveira Anderson Augusto do Nascimento , Silva Júlio Sérgio Leite da , Corrêa Glaucus Mattos , Silva Antônio Veimar da
Published: March 2024

O controle de recursos é fundamental para o funcionamento eficaz de todas as organizações, independentemente do seu tamanho, sejam elas microempresas, pequenas, médias ou grandes corporações. Nas empresas rurais, essa necessidade de controle e gestão também é crucial para garantir a eficiência operacional e o sucesso a longo prazo. No entanto, as pequenas propriedades rurais frequentemente enfrentam desafios significativos na implementação de práticas de gestão eficazes, devido a recursos limitados e outras restrições. Este artigo apresenta os resultados de um estudo que objetivou descrever e aplicar uma sequência estruturada de procedimentos visando a implementação do método de custeio baseado em atividades (ABC) em uma pequena propriedade rural. A pesquisa foi quantitativa, qualitativa e descritiva, e foi realizada por meio de um estudo de caso. Os procedimentos utilizados constaram de pesquisa bibliográfica, documental e verificação in loco, apoiada por consultas aos proprietários-gestores. A coleta de dados foi orientada por um roteiro elaborado a partir das bases identificadas no referencial teórico apresentado acerca do método ABC e anotados todas as entradas e saídas financeiras. O estudo foi estruturado em três dimensões: caracterização do objeto de estudo; aplicação do método ABC; e, informações para a gestão. Os resultados obtidos apresentaram contribuições significativas à gestão da pequena propriedade rural, como a identificação dos resultados por atividade e produto, e a identificação dos produtos mais lucrativos. Conclui-se que a aplicação do custeio baseado em atividades fornece, aos proprietários e/ou administradores, informações mais precisas para o planejamento, controle e tomada de decisão das pequenas propriedades rurais.
A new branch of fake review detection research -- A review of fake review detection in the Chinese film industry in the post-epidemic era
Authors: Zhaowei Chen
Published: March 2024

In the post-pandemic era, Chinese moviegoers increasingly rely on online movie reviews, but fake reviews by spreaders can mislead moviegoers to make wrong decisions. Fake review detection has been developed to a certain extent in China. However, there is a lack of application research in the film industry. This paper summarizes some of the more advanced fake review detection methods in China in the post-epidemic era from the perspectives of review text detection and reviewer detection, introduces their indicators, feature selection methods, and training methods, and further discusses the specific steps of these methods in the detection of fake movie reviews combined with the characteristics of fake movie reviews. The research of this paper can bring guidance for the future detection of fake movie reviews, and provide a decision-making basis for consumers and investors.
Exploring the influence of lifestyle on sleep health based on deep learning
Authors: Duan Ziheng , He Yizhou , Wang Zhongyu
Published: March 2024

Sleep plays a crucial role in maintaining overall health. However, various lifestyle factors significantly influence sleep quality and duration. Understanding the relationship between lifestyle choices and sleep health is crucial for individuals seeking to improve their sleep patterns. The purpose of this study is to provide valuable insights into the causes and effects of sleep disorders in order to help individuals make informed decisions to optimize their sleep health. This article implements the CatBoost gradient algorithm for predictive modeling. Among various models including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Xtreme Gradient Boosting (XGBoost), Gradient Boosting Decision Tree (GBDT), Random Forest (RF), Decision Tree (DT), Logistic Regression (LR), Deep Neural Network (DNN), CatBoost shows better overall performance with an accuracy of 0.93, an Fl-score of 0.925, and a recall of 0.95. Through data analysis, Blood-pressure-Systolic, Blood-Pressure-Diastolic, and Stress Level are found to have the greatest impact on the model's output.
Exploring the influence of generator channel number on the quality of anime-style portrait generation based on DCGAN
Authors: Huang Ye
Published: March 2024

In the realm of contemporary image synthesis, this research delves into a crucial objective: exploring the connection between the quantity of generator channels and the production of anime-style portraits through Deep Convolutional Generative Adversarial Networks (DCGAN). Employing an extensive dataset of anime faces encompassing diverse artistic styles, this study systematically examines the nuanced interplay between architectural parameters and the fidelity and intricacy of the generated images. By employing the Frechet Inception Distance (FID) as a metric for image quality, this investigation contributes significantly to the field by enhancing the understanding of how the number of generator channels impacts the ultimate quality of anime-style portraits. The DCGAN framework, and in particular its variants, is the backbone of this investigation. The generator and discriminator components are involved in adversarial training, a competitive process that improves image quality through iterations. The findings reveal a non-linear relationship between the number of generator channels and image quality. While increasing the number of channels initially improves image quality and decreases the FID value, exceeding the optimal threshold leads to diminishing returns and image quality degradation. The intricate interplay between structure selection and image quality is further confirmed by the dynamics of the generator and discriminator loss functions. By elucidating the trade-off between complexity and image fidelity, this study contributes to the advancement of image synthesis techniques and encourages future exploration of architectural nuances in the field of artistic image generation.
Design, development, and deployment of decentralized applications
Authors: Chen Zefeng
Published: March 2024

Beginning with a comprehensive definition of Decentralized Applications (DApps) and their developmental trajectory, this treatise delves into their inception around 2010. It is intriguing to note that by 2020, DApps had already found preliminary applications in diverse sectors, ranging from finance to archaeology. Yet, there remains vast untapped potential awaiting exploration and refinement within the realm of DApps. The discourse then navigates the intricate web of DApps' system architecture, illuminating the cardinal aspects of their design, evolution, and eventual deployment. Herein, the essence of systematic planning during the design phase is underscored, underpinning its pivotal role in shaping the efficacy of the application. Further shedding light on DApps' expansive utility, the paper underscores their transformative influence in areas such as authentication systems and real-time operational control. However, the journey of DApps is not without its challenges. The document elucidates the complexities associated with crafting robust smart contracts, mitigating scalability concerns, and nurturing user acceptance and integration. In light of these hurdles, a clarion call is made for persistent research and avant-garde innovation, propelling DApps to their true potential in the evolving digital landscape.
Optimized design of a 4-bits absolute-value detector based on linear programming
Authors: Wang Zifeng
Published: March 2024

Nowadays, neural signal acquisition systems are constantly developing, and spike classification algorithms have been widely studied and concerned. This paper designed a practical spike detection circuit, named as the absolute value detector. Project is committed to adopting only simple gate circuits, by using Morgans theorem to optimize the circuit structure, so that we can ensure that the detector has the following several advantages, simple and beautiful, easy to understand, powerful performance. In addition, this paper also considered the optimization of performance including latency and energy consumption. The increase of Vdd will increase the energy consumption and reduce the delay, while the increase of size will reduce the energy consumption and increase the delay. Using MATLAB software for linear programming, Under the condition of a 1.5-fold increase in the delay, and then adjusting Vdd and size, energy consumption was down by 78 percent.
Harnessing AI and machine learning for enhanced credit risk analysis: A comprehensive exploration of computational techniques in the financial realm
Authors: Li Xinyu
Published: March 2024

Within the confluence of the banking and financial sectors, the integration of machine learning in credit risk analysis signifies a paradigm shift towards data-centric decision-making. Historically, methodologies for credit risk were limited in predictive accuracy and computational efficiency. The advent of expansive language models, exemplified by Ant Group's AntFinGLM, offers a solution. These models, underpinned by deep learning, amalgamate financial texts and transactional data, facilitating the discernment of intricate financial paradigms and market nuances. This paper conducts a rigorous exploration of machine learning methodologies, from Bayesian classifiers to k-means clustering, offering an analytical perspective on their advantages and challenges. As the industry inclines towards innovations like AntFinGLM, the imperatives of professionalism, precision, and data sanctity gain significance. Upholding standards that encompass five dimensions and 28 categories, AntFinGLM epitomises these benchmarks, championing enhanced functionalities while fostering collaborative initiatives with financial entities. Addressing challenges, particularly around data security and professional integrity, becomes crucial. Techniques encompassing intent recognition, fact verification, and robust data protection mechanisms are indispensable. In summation, the endeavours of entities like AntFinGLM underscore the transformative prowess of expansive language models, ushering the financial sector into an epoch characterised by astute, efficient, and safeguarded decision-making paradigms.
Analysis of article type category based on KNN
Authors: Wang Qiushi
Published: March 2024

Natural Language Processing (NLP) boasts a rich historical background, evolving since the 1950s at the crossroads of artificial intelligence and linguistics. Over time, it has seamlessly converged with Information Retrieval (IR), adopting diverse approaches encompassing symbolic, statistical, and connectionist methods. This study focuses on the utilization of the k-nearest neighbours (KNN) algorithm for the categorization of articles. It delves into the feasibility of accurately classifying articles when provided with ample datasets and clearly defined category labels. Through the development of a model and the integration of the KNN algorithm, this experiment successfully conducted content-based article classification. By selecting an appropriate value for k, employing a confusion matrix for performance assessment, and predicting article categories, the experiment achieved an accuracy rate of 0.96. Nonetheless, limitations arise when dealing with small datasets or imbalanced article distributions. This paper delves into the intricacies of article type classification, emphasizing the pivotal roles of data quality and feature engineering in this process. Furthermore, it underscores the potential for in-depth exploration in various contexts using alternative methodologies, such as Bayesian, Support Vector Machines, and deep learning, providing valuable references for future research endeavours.
Revolutionizing the used car market: Predicting prices with XGBoost
Authors: Guo Siqi , Zhang Boruo
Published: March 2024

In contemporary dynamic automobile industry, informed decision-making is crucial for success. Accurate sales predictions are essential for optimizing operations and resource allocation in the used car market. This article explores the application of machine learning, specifically the eXtreme Gradient Boosting(XGBoost) algorithm, in predicting used car prices in the UK. The dataset consists of over 110,000 data points from various brands, including features like model, year, mileage, and more. Data preprocessing, including outlier removal and feature scaling, is performed to prepare the dataset. XGBoost, a powerful machine learning algorithm, is selected for price prediction and compared with traditional regression models. The results show that eXtreme Gradient Boosting(XGBoost) outperforms other models in terms of R2 score, Mean Absolute Error, and Mean Square Error. Its accuracy and efficiency make it a valuable tool for both buyers and sellers in the used car market. However, challenges such as data quality, feature engineering complexity, and model interpretability remain. Future research directions include improving data quality, exploring advanced feature engineering techniques, and integrating external data sources. This study highlights the potential of machine learning in enhancing decision-making in the dynamic used car market.
Necessary neural architecture search in deep learning escalation
Authors: Pu Xingsheng
Published: March 2024

Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both. Since the AI hypothesis was proposed during the twentieth 100 years, With the development of related research and the persistent improvement of PC figuring power, AI has become increasingly more generally utilized. The brain structure search procedure can look through the brain network structure reasonably for a particular errand in an enormous arrangement of competitor organizations since brain engineering search is supposed to accelerate the method involved with finding brain network designs that will create great models for explicit datasets. taken in the paper has summed up certain discovery courses to make sense of the information on profound learning, comprehended presented the brain design search in the advancement of profound learning through writing research, and acquired a few accomplishments toward it. Results show that cell-based search space is additionally effectively utilized by numerous new works. The study will give clues to important examination of profound learning.
Credit card customers churn prediction by nine classifiers
Authors: Chen Yihong
Published: March 2024

Recently, losing credit card customers has been particularly serious. Using the found data set from kaggle website, this paper wants to help the bank manager by predicting for them to identify the customers who are likely to leave, so they can approach them in advance to offer them better services and sway their decisions. Nine classifiers are used to carry out model training and evaluation and finally develop credit card customers churn prediction. AdaBoost, XGBoost, Naive Bayes, Decision Tree, Random Forest, K-Nearest Neighbors, Support Vector Classifier, and Logistic Regression are the nine classifiers. The result shows that the credit card customer churn model can be predicted by all machine learning models. Among them, the XGBoost model performs exceptionally well, with a training accuracy of 100%, a test accuracy of 97%, and the highest F1 score of 92%. So it can be concluded that this model can be applied to relevant datasets for prediction in order to assist banks in better retaining their existing customers.
Predicting the S&P 500 stock market with machine learning models
Authors: Shi Boyu , Tan Chuhua , Yu Yue
Published: March 2024

Predicting stock prices through machine learning models is becoming increasingly important in today's world. This essay aims to present a basic analysis of predicting the S&P 500 stock market using machine learning models, that are linear regression and XGBoost. The research utilizes historical data from the S&P 500 stock market in the past few years, dividing it into training, testing, and verification sets with a distribution of 70%, 15% and 15%, respectively. The linear regression model uses MSE (3.05110^17) and R^2(0.316) in testing group to analyze the accuracy of prediction, while the XGBoost model uses MSE (14816.886) and RMSE (121.725) in testing group to analyze the accuracy. The findings indicate that the accuracy of the XGBoost model surpasses that of the linear regression model. Drawing from the outcomes, one can infer that the XGBoost model is better suited for stock prediction compared to the linear regression model.
УЯЗВИМОСТИ ПОЧТОВОГО СЕРВЕРА ZIMBRA ЗА ПОСЛЕДНИЕ ГОДЫ
Authors: Yessenbayev B.S. , Sagindykov K.M.
Published: March 2024

This article talks about the most dangerous Zimbra mail server vulnerabilities of 2021-2022. In addition, the terms of their use, vulnerable code parts and features are indicated. The risk of vulnerabilities is higher than 7.0 according to the Common Vulnerability Scoring System (CVSS) rating. This shows how easy it is to exploit the vulnerability and how much damage it can do to the system. Using them, attackers can perform various commands on the server itself, starting with accessing mail. If we take into account that Zimbra mail belongs to popular corporate solutions, we can see that its users are business representatives and the public sector. And the value of information in them is important not only for those individuals, but also for the state. After analyzing each vulnerability, their patches for each branch are shown.
Assessment of the Implementation of Respectful Maternity Care Charter in North Central Nigeria (Federal Capital Territory and Kwara State): Study Protocol
Authors: Adeniran Abiodun
Published: March 2024

Respectful Maternity Care (RMC) charter is one of the tools for ensuring quality of care in maternity services. Nigeria is a signatory to RMC charter; therefore, the charter is expected to be the standard of care. However, in Nigeria and other countries, reports of disrespectful maternity care abound; this discourages women from accessing facility-birth. Therefore, to improve the quality of care towards increase in uptake, it is expedient to assess the level of implementation of the RMC charter by key stakeholders for sustainability, impact and scale-up of charter-compliant maternity care in Nigeria. The study aims to assess the implementation of RMC charter in North-central Nigeria. The study is a mixed-method, cross-sectional study; the expected participants are key stakeholders in healthcare (Healthcare workers, Healthcare Administrators, Project Managers, Policy makers) in North-Central Nigeria (Federal Capital Territory and Kwara state). A multistage sampling technique would be used to enroll participants from 18 healthcare facilities (Primary, Private, Secondary and Tertiary) in rural and urban areas and Ministries of Health officials at local and state government levels. Expected outcomes: The study is expected to provide information on the current status of knowledge and implementation of the RMC charter in Nigeria. It would also identify the enablers and barriers to the implementation process and provide evidence for effective scale-up of the process in Nigeria. The outcomes will be widely disseminated to healthcare workers, health administrators and decision-makers in healthcare services through post-study meetings, conference presentations, journal publications and policy briefs for effective RMC charter implementation in Nigeria.
Prospective observational study of intracranial and spinal ependymomas with special reference to immunohistochemical markers in relation to short-term prognosis
Authors: Ghosh Arijit , Ghosh Subhasis , Chaudhuri Shubhamitra
Published: March 2024

The aim of the study was to analyze the intracranial and spinal ependymomas with special reference to immunohistochemical markers in relation to short term prognosis. The present prospective study was conducted in the Department of Neurosurgery, Bangur Institute of Neurosciences and SSKM Hospital, IPGME and R, Kolkata from April 2020 to December 2021 in the Neurosurgery ward. 30 cases admitted in the department operated for suspected cases of intracranial and spinal ependymomas irrespective of any age groups and histologically confirmed thereafter by Pathology Department of SSKM hospital, IPGMER were included in the study. Age, sex, mode of presentation, clinical symptomatology, clinical findings, clinical, radiological investigations, surgical details, outcome data was recorded. The clinical follow-up observation was carried out by outpatient review. The patients were regularly followed up at 3, 6 and 12 months operation. Intracranial and spinal location was reported among 21 (70%) and 9 (30%) subjects respectively. During surgery, complete resection was achieved in 80% of the subjects. Out of 30 subjects, 90% of the subjects survived whereas mortality happened in 10% of the subjects. Most common complication was cranial nerve palsy (33.33%). The mean Ki-67 and p53 proliferative indices were significantly higher in grade III tumors as compared to grade II and grade I tumors. EMA was found to be positive in 70% of the subjects. The results concluded that p53 and Ki 67 indices when performed in routine diagnostic cases can supplement the histological diagnosis and at the same time these values could predict the relative difference in prognosis of various subtypes.
Level-2 Oncoplastic Surgical Techniques for Breast Cancer: A Preliminary Vietnamese Report
Authors: Dung Hoang , Quang Le , Quang Le , Cong Bui
Published: March 2024

Background: Breast cancer is the most common malignancy and remains the first cause of death related to cancer among Vietnamese women, with an incidence of 21,555 cases in 2020. Most breast cancer patients present with invasive disease and relatively large tumor sizes. While oncoplastic surgery (OPS) are commonly applied in Western countries, data on Asian population remains relatively limited. Objective: This study aims to assess the outcomes of level-2 oncoplastic techniques in breast-conserving surgeries at the Vietnam National Cancer Hospital. Methods: From January 2017 to June 2021, a cohort of 257 breast cancer patients who underwent breast-conserving surgery with OPS techniques were examined. Surgical complications, cosmetic outcome, recurrence and survival rates were assessed. Results: The mean age was 47.6±9.4 years, most patients had breast cup sizes B and C. The mean tumor size upon pathological examination was 2.00 ± 0.74 cm. Only 7 cases required reoperation, resulting in a mastectomy rate of 1.17%. The overall complication rate was low at 11.46%, with 9 cases (3.56%) experiencing delayed complications. Cosmetic results were rated as “excellent” in 20.6% and “good” in 60.5%, with a statistically significant difference. The rates of local recurrence, regional recurrence, and distant metastasis at five years were 2.78%, 1.19%, and 2.36%, respectively. Conclusion: The level 2 oncoplastic techniques had low complication rates, favorable oncological outcomes, and cosmetically satisfying results.
Actitudes y criterios sobre la planificación familiar y el aborto
Authors: Hernández Rodríguez Gerardo
Published: March 2024

Se examinan varios aspectos relativos a las políticas de control de natalidad y respecto al aborto a la luz de algunas actitudes sociales y de algunos hechos. Las estadísticas anuales de 1976 muestran un total de 13.670 abortos realizados en España en 1974. Estadísticas no oficiales estiman sin embargo que son 400.000 los abortos realizados en España cada año; otras sugieren entre 70.000 y 100.000. Las leyes españolas permiten el aborto provocado tan sólo bajo circunstancias médicas especiales. Se citan las opiniones de médicos expertos y científicos favorables al aborto y al control de natalidad. Se ofrecen los precedentes legales de la política demográfica en España, y las leyes vigentes en otros países (incluyendo Europa Occidental, Gran Bretaña, Europa del Este, Canadá, Latinoamérica, Asía, África y Oceanía) son revisadas. Se discute también la perspectiva moral basada en los derechos del feto, la posición de la iglesia católica y de los partidos políticos españoles. El Partido Socialista y el Partido Comunistas son favorables al aborto, mientras que alianza Popular y el Centro Democrático y Social se oponen al mismo. La Plataforma de Grupos de Mujeres de Madrid ha solicitado información y educativa en temas de sexualidad, anticonceptivos gratuitos y legalización del aborto en una campaña de presión a los partidos políticos llevada acabo con motivo de las elecciones de junio de 1977. Sin embargo, el III Congreso Nacional de la Familia Española ha manifestado en un informe estar a favor de los valores de la familia tradicional y su visión negativa del aborto y del uso de anticonceptivos, los cuales son emparejados a la permisividad social, al rechazo del principio de autoridad y a la trasgresión de la ley.
La evolución reciente de la fecundidad en España
Authors: Agüero Menéndez Isabel , Olano Rey Alberto
Published: March 2024

Se analiza la tasa de natalidad y el promedio de edad y períodos temporales relativos a la reproducción durante el siglo XX. Se comparan lo patrones de fecundidad en España con las tendencias generales de los países de la OCDE en general. Se comenta la alta tasa de natalidad española en 1977, tan sólo superada por Irlanda, Portugal y probablemente Turquía. Sin embargo, este fenómeno debe comprenderse en el contexto de un declive generalizado de las tasas de natalidad en los países occidentales industrializados, declive que comenzó en 1965. Se examinan varias teorías que tratan de explicar este fenómeno. Entre ellas, el modelo teórico propuesto por R. Easterlin et al. (?Demographic Influences on Economic Stability: The United Status Experience?, Population & Development Review, 1978, Mar) parece poseer particularmente un gran poder explicativo. Easterlin postula un paralelismo entre estructura de edad y fecundidad. Se comprueba tal postulado mediante el análisis de las estadísticas españolas relativas a la estructura de edad desde 1960 hasta 1975, sin encontrar resultado alguno. Sin embargo, no queda refutada la posibilidad de los cambios cíclicos en materia de fecundidad. Se aplican varios modelos cíclicos. Mientras que Francia, Alemania Occidental, Inglaterra y los Estados Unidos parecen confirmar el modelo de transición demográfica de J. Bourgeois-Pichat (?La baisse actuelle de la fécondité en Europes?inscrit-elle dans le modèle de la transition démographique?, Population, 1979, 2), su evidencia en España no resulta concluyente. Las estadísticas por provincias para el período entre 1960-1978 indican una evolución irregular de las tasas de natalidad, mostrándose incrementos en algunas provincias que contrastan con el descenso de la media nacional, así como los efectos de la inmigración de los jóvenes.