bluuebunny/crossref_metadata_2025 huggingface dataset:
ТӨЛӨГӨН КАСЫМБЕКОВДУН ЧЫГАРМАЛАРЫНДА СӨӨК КОЮУГА БАЙЛАНЫШКАН ЫРЫМ-ЖЫРЫМДАРДЫН ЧАГЫЛДЫРЫЛЫШЫ
Authors: Бердалиева Нурсулуу , Мурзакметов Абдымиталип
Published: March 2024

Бул макалада Т.Касымбековдун чыгармаларында сөөк коюуга байланыштуу ырым-жырымдардын чагылдырылышы каралды. Элдин өткөн турмушун сүрөттөгөндө сөзсүз архаикалык сөздөр, даилектизмдер колдонулат. Чыгармада кыргыз эли колдонгон макал-лакап, көөнө сөз, фразеологизмдер өтө көп кездешет. Дал ушундай локалдык өзгөчөлүктөр, диалектизмдер жазуучулар тарабынан кеңири пайдаланса адабий тил да байып, бир элдин маданиятындагы өзгөчөлүктөр жекеликтен жалпылыкка айланат. Жазуучу Т.Касымбеков чыгармаларында мындай ыкманы кеңири пайдаланат. Бир гана архаизм же диалектизм сөздөрдү эле колдонбостон кыргыз элинин каада-салттарынын өзгөчөлүктөрүн чыгармаларында пайдаланган. Ушул маселелерди изилдөө максатында жазуучу Т.Касымбековдун “Сынган кылыч” тарыхый романындагы кыргыз элинин руханий маданиятына байланышкан мисалдарды, анын ичинен сөөк коюуга тиешелүү көрүнүштөрдү белгилеп көрсөттүк.
КЫРГЫЗ ЖАНА АЛТАЙ ЭПОСТОРУНДАГЫ БААТЫРГА АТ КОЮУГА БАЙЛАНЫШТУУ МОТИВДЕРДИН САЛТТУУ БЕРИЛИШИ
Authors: Жолдошова Кимсан
Published: March 2024

Макалада кыргыз жана алтай эпосторундагы баатырга ат коюуга байланыштуу мотивдердин салттуу берилиши иликтөөгө алынды. Кыргыз жана алтай элдери түбү тектеш элдер болуу менен бирге маданий жана адабий жалпылыктарга да ээ. Бул айрыкча эки элдин  эпосторунан ачык көрүнөт. Кыргыз жана алтай эпосторунун тутумундагы баласыздык, ата-эненин түшүнө аян берүү менен баатырдын укмуштуу болуп төрөлүшү, ат коюу, өтө тез өсүп, күчтүү болуп эрезеге жетиши, укмуштуу эрдиктерди көрсөтүшү сыяктуу мотивдер аталган эки элдин эпосторундагы салттуу көрүнүштөрдөн болуп саналат. Изилдөөдө кыргыз жана алтай элдеринин элдик оозеки чыгармачылыгындагы орток эпикалык чыгармаларына басым жасалып каралып, алардын эпосторундагы баатырга ат коюуга байланыштуу орток жана архаикалык мотивдерге азыркы көз караштан туруп мүнөздөмө берилип, айрым көз караштар, пикирлер салыштырылып талдоо жүргүзүлдү. Эки элдин эпосторунун арасындагы байланыш, типтүү белги-касиеттер, окшоштуктар жана айырмачылыктар  аныкталып каралды.
Epigenetics behind tumor immunology: a mini review
Authors: Sistigu A.
Published: March 2024

Immunogenic- and immune-therapies have become hot spots in the treatment of cancer. Although promising, these strategies are frequently associated with innate or acquired resistance, calling for combined targeting of immune inhibitory signals. Epigenetic therapy is attracting considerable attention as a combination partner for immune-based therapies due to its role in molding the state and fate of cancer and immune cells in the tumor microenvironment. Here, we describe epigenetic dysregulations in cancer, with a particular focus on those related to innate immune signaling and Type I interferons, and emphasize opportunities and current efforts to translate this knowledge into treatment regimens with improved clinical benefit.
Mapping Research on Fashion Marketing Using Biblioshiny- R (2014-2024)
Authors: Ismail Nisrina Nur , Nurjanah Lina
Published: March 2024

Purpose: Scholars have been actively exploring various aspects of fashion marketing framework, with a focus on delineating the characteristics and trends of keywords, authors, journals, and citations. This review aims to analyze existing literature to identify key issues, models, solution approaches, and potential future directions in this field. Design/methodology/approach: Our approach utilizes a dataset comprising 195 articles on fashion marketing research sourced from Scopus. Employing a combination of statistical, bibliometric, and analytical techniques, we systematically examine how the literature addresses these themes. Data analysis is conducted using biblioshiny and VOSviewer software to generate bibliometric maps of research advancements in fashion marketing. Findings: The findings reveal that research developments in this domain are visually represented through six clusters. Cluster one encompasses 12 topics, cluster two includes 7 topics, cluster three comprises 5 topics, cluster four entails 5 topics, cluster five encompasses 4 topics, and cluster six consists of 4 topics. This research endeavors to assess the evolution and trajectory of fashion marketing maps as documented in Scopus-indexed journals. The dataset under scrutiny comprises 195 publications, and the ensuing export data is meticulously processed and analyzed utilizing the R Bibliometrix application program. The objective is to delineate the bibliometric map of fashion marketing research development. The findings reveal a noteworthy surge in the number of publications focusing on fashion marketing. Notably, the Journal of Global Fashion Marketing and Management emerges as the predominant journal, with Ko E. being the most prolific author, and a substantial proportion of citations originating from works authored by Kong HM (2021). The prevalent themes identified through keyword analysis encompass consumer behavior, consumption behavior, sustainability, and fashion industry, fashion industry, consumption behavior, and strategic planning. In terms of conceptual structure, the research employs thematic maps to visually represent the distribution of themes and sub-themes across four clusters: dropping or emerging themes, basic themes, highly developed and isolated themes, and motor themes. The resulting conceptual framework not only sheds light on the current landscape but also serves as a catalyst for ongoing research in this burgeoning field. This comprehensive understanding stands to benefit academics, researchers, and practitioners on a global scale. Research limitations/implications: This study is restricted to articles discussing the fashion marketing framework.
Cutting-Edge Innovations in Minimally Invasive Techniques for Skin Cancer Treatment
Authors: Najafizadeh Elahe , Alkhateeb Ahmad , Mankovskaia Regina
Published: March 2024

Skin cancer is a common and possibly deadly disease that requires immediate and efficient treatment. Conventional surgical methods, although successful, frequently lead to the formation of scars and extended periods of recuperation. In recent years, there have been significant developments in minimally invasive treatments for treating skin cancer. These techniques provide patients with alternative options that result in better cosmetic outcomes and shorter recovery periods. This article is a comprehensive summary of state-of-the-art advancements in minimally invasive procedures, including as laser therapy, cryotherapy, electrochemotherapy, and radiofrequency ablation. We analyze the benefits of these procedures, including minimized scarring, improved cosmetic outcomes, and faster healing periods, while also examining the difficulties and factors involved in their application. We showcase the concrete advantages that patients receive when they undergo minimally invasive therapy for skin cancer, using case studies and success stories as evidence. In addition, we examine potential future paths in research and development, anticipating a favorable outlook for the ongoing use of minimally invasive methods in the treatment of skin cancer. The global prevalence of skin cancer is a substantial health issue, leading to continuous progress in treatment strategies aimed at enhancing patient results. Conventional surgical techniques, however efficient, can lead to conspicuous scarring and extended recuperation periods. Recent advancements in minimally invasive procedures have significantly transformed the treatment of skin cancer, providing patients with alternative options that yield better esthetic results and shorter recovery periods. This article offers a comprehensive analysis of state-of-the-art advancements in minimally invasive procedures, encompassing laser therapy, cryotherapy, electrochemotherapy, and radiofrequency ablation. We use case studies and success stories to demonstrate the concrete advantages that patients gain from these operations, such as minimized scarring and improved cosmetic outcomes. In addition, we explore the difficulties and factors to take into account when putting these methods into practice, along with potential areas for further investigation and advancement. Our goal is to emphasize the hopeful future of minimally invasive treatments in skin cancer care, which will ultimately enhance patient experiences and outcomes.
The Relationship Between Individual Social Capital and Life Satisfaction Among University Students in China: The Mediating Role of Resiliency
Authors: Zhang Xiaomei , Ju Soon-Yew
Published: March 2024

This present paper has aimed to investigate the university students’ life satisfaction in the city of Ji’nan in China. Due to the important role of university students, their life satisfaction has been valuable and necessary to be examined. The extent literature about students’ life satisfaction has left a blank for the three variables in the study. Therefore, this paper has tried to give an explanation for the relationship among university students’ life satisfaction and individual social capital by the mediating effect of resilience, which may be a new conceptual model seldom conducted in previous studies, especially in Ji’nan. As a non-experimental descriptive research design, a quantitative (deductive reasoning) technique has been employed to quantify the issue, in which survey questionnaire has been used to gather numerical data and then turned into practical statistics.
WHIGET and TETRAS Ratings of Action Tremor in Patients with Essential Tremor: Substantial Association and Agreement
Authors: Hernandez Adreanna B. , Berry Diane S. , Grill Natalie , Hall Talía M. , Burkes Allison , Ghanem Ali , Sharma Vibhash D. , Louis Elan D.
Published: March 2024

Background: Evaluating tremor severity is a critical component of diagnosing and clinically managing patients with essential tremor (ET). We examined the comparability of tremor severity ratings derived from two frequently used tremor rating scales: the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) rating scale and the Tremor Research Group Essential Tremor Rating Scale (TETRAS).
Methods: A trained assistant administered and videotaped a neurological examination, including eight items assessing upper limb action tremor (arms outstretched, arms in the wingbeat position, finger-nose-finger maneuver, and drawing of Archimedes spirals). An experienced movement disorders neurologist reviewed the videos and assigned WHIGET and TETRAS ratings. We calculated associations between TETRAS and WHIGET ratings using Spearman rank order correlations. Subsequently, we collapsed these ratings into four tremor severity categories (absent, mild, moderate, severe) and then two broader tremor severity categories (absent/mild, moderate/severe). We calculated weighted Kappa coefficients to assess agreement between category assignments based on the TETRAS and the WHIGET.
Results: Spearman’s r’ s were significant for all items (p’s ≤ 0.001, mean r = 0.89). Weighted Kappa’s revealed substantial to near perfect agreement for all eight items (mean k = 0.86, range = 0.64 to 1.00).
Conclusion: Analyses revealed substantial strength of association and substantial to near perfect agreement between items rated with the WHIGET and TETRAS scales. These data indicated that ratings provided by each scale are highly comparable.
Perfil epidemiológico da população acometida pela dengue em Três Lagoas-MS
Authors: Silva Mauro , Brito Diogo
Published: March 2024

Contexto: O município de Três Lagoas, em Mato Grosso do Sul, possui uma população de 132.000 habitantes, e um crescimento urbano acelerado nos últimos anos, tendo como consequência problemas sócio ambientais e de ordenamento do território. Nos últimos anos vários episódios de surtos e epidemia de dengue foram registrados no município. Assim, a pesquisa buscou compreender o perfil epidemiológico da população acometida pela Dengue em Três Lagoas entre janeiro a julho de 2023. Métodos: Foram analisados dados da evolução dos casos notificados de dengue referente as 30 primeiras semanas epidemiológicas de 2023. As referências das informações foram   pautadas   nas “Fichas de Investigação” do Sistema de Informação de Agravos e Notificações –SINAN-NET, cedidas pela Secretaria Municipal de Saúde de Três Lagoas.  As variáveis utilizadas para a análise epidemiológica foram: incidência de casos; faixa etária; gênero; raça, escolaridade, dados clínicos, e evolução. Resultados: Os resultados mostraram que nas semanas epidemiológicas 10 a 13 as taxas de incidências evoluíram de 300 à patamares acima de 600 casos notificados de dengue para cada 100 mil habitantes, sendo o período mais preocupante no primeiro semestre do ano de 2023 em Três Lagoas. Foi revelado ainda que a principal característica epidemiológica da população acometida pela dengue é de pessoas do sexo feminino em sua maioria, predomínio de pardos e pretos e com idades entre 19 a 60 anos, porém os idosos foram os que mais evoluíram para óbito. Os principais sintomas foram Febre, Mialgia e Cefaleia.
Monitoring of Carbendazim residues in post-harvest treated Red Delicious apples
Authors: Mandal Silpa , Sharma P.K , Parray Roaf Ahmad , Banerjee Tirthankar , Arora Alka , Bhowmik Arpan , Gaur Rudra Shalini , Parida Chinmayee , Kushwah Ajay
Published: March 2024

This research paper aims to provide a comprehensive analysis of the presence and levels of Carbendazim residues in post-harvest treated Red Delicious apples in two condition i.e. ambient stored condition and cold stored condition. Carbendazim, a benzimidazole fungicide, has gained prominence as an effective means of controlling fungal diseases in apple orchards, including the commonly encountered apple scab and powdery mildew. The residue levels of Carbendazim in post-harvest treated Red Delicious apples, however, raise concerns about consumer safety and environmental impact. The investigation encompasses residue analysis methodologies, factors influencing residue levels, and potential mitigation strategies to ensure food safety and sustainability. The study showed that Carbendazim residue persistence was more in cold stored apple compared to ambient stored apple and to reduce its concentration to less than 5ppm it took 60 days, if pesticide applied ate recommended dose. It indicates, that the apple can be produced residue free and safe for consumption if judicious use of pesticides with respect to concentration and time is followed. Pesticides applied properly and scientifically avoiding drift to environment can reduce the impact on human health.
Effect of Priming on seed viability of artificial aged black gram (Vigna mungo L.) seeds
Authors: Jadhav Sujit S , K. Pathak Sudheer , Parveen Shama , Ingale Vinayak B
Published: March 2024

Black gram (Vigna mungo L.) is a crucial Indian pulse crop, valued for its nutritional and agricultural importance. However, seed aging adversely affects germination and viability, impacting yield. This ITM University study explores the efficacy of various seed priming treatments in enhancing seed quality and viability for improved growth and yield. Accelerated aging was induced before applying priming methods with GA3, PEG, and KNO3 . Results underscore the potential of 1% KNO3 priming to enhance seed quality, viability, and growth attributes. These findings offer insights for optimizing black gram cultivation and addressing seed aging challenges.
IoT Threat Mitigation: Leveraging Deep Learning for Intrusion Detection
Authors: Babu Dr. Ch. Suresh , Hruday Boppa Sri Satya Sai , Krishna Jonnala Veera Venkata Sai , Sandeep Chellinki , Naveen Boddu
Published: March 2024

The growth of smart gadgets connected via the Internet of Things (IoT) in today’s modern technology landscape has substantially improved our everyday lives. However, this convenience is juxtaposed with a concomitant surge in cyber threats capable of compromising the integrity of these interconnected systems. Conventional intrusion detection systems (IDS) prove inadequate for IoT due to the unique challenges they present. We propose and evaluate an intrusion detection system (IDS) based on a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model in this paper. The model is designed to capture both temporal and spatial patterns in network data, offering a robust solution for detecting malicious activities within IoT environments. The CNN-LSTM model displayed excellent accuracy, reaching 98% in both multi-class and binary classifications when trained on the UNSW-NB15 dataset. Furthermore, we explore the real-world applicability of the model through testing on Raspberry Pi, showcasing its effectiveness in IoT scenarios. The system is augmented with alert mechanisms, promptly notifying relevant parties upon intrusion detection. Our findings highlight the CNN-LSTM model's efficacy in strengthening IoT network security.
Possíveis comorbidades associadas a interrupção do ciclo circadiano em decorrência do trabalho noturno: uma revisão sistemática
Authors: Borges Marques Hellouyse , Pereira de Souza Emily , Guimarães Machado Erika Daniela , Alves Marcelino da Silva Amanda
Published: March 2024

Introdução: O ciclo circadiano é responsável por regular diversos hormônios que possibilitam o funcionamento adequado do organismo e sua interrupção é capaz de provocar disfunções e comorbidades. Os trabalhadores noturnos são uma população suscetível à ocorrência dessas comorbidades tendo em vista o seu turno de trabalho que impossibilita dormirem no horário adequado. Objetivo: Analisar as comorbidades presentes na população que trabalha a noite visto a interrupção do ciclo circadiano. Materiais e métodos: Artigos quantitativos selecionados nas bases de dados no período de novembro de 2023 a janeiro de 2024 nos idiomas inglês, português e espanhol. 14 artigos foram selecionados para análise. Resultados: Os profissionais noturnos apresentaram comorbidades no âmbito físico e psíquico. Discussão: Acometimentos metabólicos, alterações hormonais, depressão, e redução da capacidade cognitiva foram associados a interrupção do ciclo circadiano. Conclusão: O funcionamento inadequado do ciclo circadiano em trabalhadores noturnos pela indisponibilidade sono adequado provoca comorbidades em diferentes âmbitos no organismo.
Manifestações psíquicas em indivíduos acometidos por COVID-19
Authors: De Mello Konzen Vanessa , Pez Fagundes Roberta , Luiz Alt Luciano , Wibelinger Lia Mara
Published: March 2024

Introdução: Frequentemente indivíduos acometidos pela COVID-19 desenvolvem manifestações negativas relacionados a sua saúde mental, tais como distúrbios do sono, ansiedade e depressão. Objetivo: Verificar as manifestações psíquicas em indivíduos acometidos por COVID-19. Métodos: Realizou-se revisão integrativa em 4 bases de dados entre setembro e dezembro de 2020, por meio da combinação dos descritores “depression”, “coronavirus infections” e “mental health”. Resultados: Encontraram-se 404 artigos, dos quais quatro preencham os critérios de seleção do presente estudo. Observou-se uma alta prevalência de manifestações psíquicas em indivíduos acometidos pela COVID-19, sobretudo nas taxas de distúrbio do sono, ansiedade e depressão, respectivamente. Ainda, outros sintomas foram observados, como irritabilidade, transtorno de estresse pós-traumático, sintomas compulsivos e obsessivos e estresse. Conclusão: A prevalência de manifestações psíquicas em indivíduos acometidos pela COVID-19 é alta, sobretudo nas taxas de distúrbio do sono, ansiedade e depressão. Ainda, outros sintomas podem ser observados, fazendo necessário a identificação precoce das sequelas psiquiátricas.
The Role of AI Design Assistance on the Architectural Design Process: An Empirical Research with Novice Designers
Authors: Zeytin Emine , Öztürk Kösenciğ Kamile , Öner Dilan
Published: March 2024

This study explores the integration of Generative Design Assistants (GDAs), specifically machine learning based tools, in the architectural design process. It investigates how these tools, once confined to experimental realms, are now influencing mainstream architectural practice, particularly among novice architects. The research focuses on third and fourth-year architecture students, examining how they adapt to and integrate these advanced AI tools into their design workflows. Through an empirical online workshop, the study collected data of design process recordings, design output success scores of students by an independent jury, and post-experiment surveys. This approach provided insights into the timing, frequency, and sequence of GDA usage, as well as the influence of specific GDA features on design success. The research reveals that three primary strategies emerged in students' GDA usage: continuous use throughout the design process, selective problem-solving use, and initial ideation use followed by traditional methods. However, an over-reliance on GDAs was noted to potentially limit the designer’s interpretive and developmental input. The survey shows that different GDAs have distinct strengths and impacts on the design process. In terms of selected GDAs for the experiment, ArchiGAN aids in discovery and ideation, while HouseGAN excels in reframing design problems. In conclusion, the study underscores the transformative potential and challenges of GDAs in architectural design and highlights the need for balanced GDA integration. The research outputs show that future research should focus on the long-term implications of GDAs in architectural education. This research aims to guide the effective integration of AI in architecture, enhancing the human designer's role rather than overshadowing it.
Analysis on The Influence of Salary Level and Employee Satisfaction
Authors: Dingyang Zhou
Published: March 2024

Enterprise salary level has a positive impact on employee satisfaction. However, with the development of society and the progress of the times, the status of enterprise salary level in many dimensions of influencing employee satisfaction is gradually declining. It is not difficult to find that most employees are dissatisfied with the salary level. This paper studies the relationship between salary level and employee satisfaction. The imbalance of salary and good growth working environment played significant roles on employee satisfaction. This study suggested that human resource management improve employees' salary satisfaction by pay attention to employees' salary satisfaction and give full of democracy to ensure smooth communication between two parties.
Research of Chinese Internet Enterprise Supply Chain Strategy
Authors: Yu Wang
Published: March 2024

The level of informationization of the supply chain management strategy of Internet companies is crucial and an effective means to test the competitiveness of enterprises. In this paper, based on the factors affecting the informationization level of Internet enterprise supply chain management, this paper proposes a method based on improved gray correlation degree, which is the combination of analytic hierarchy process and entropy weight method to determine the index weight, and the informationization strategy of supply chain management for Internet enterprises. put in order. Through the analysis of examples, it can be known that the improved gray correlation method using comprehensive confirmation can avoid the subjectivity of weight setting, and thus can more objectively and accurately evaluate the supply chain strategy information level of Internet enterprises. At present, this method provides new ideas for the strategic management of enterprises.
Численное исследование структуры ламинарного предварительно перемешанного метановоздушного пламени, направленного на плоскую охлаждаемую преграду
Authors: Сластная Д.А. , Хребтов М.Ю. , Мулляджанов Р.И. , Дулин В.М.
Published: March 2024

В работе представлены результаты численного исследования структуры предварительно перемешанного метановоздушного пламени (φ = 0.92, Re = 1000), направленного на плоскую охлаждаемую преграду, для различных расстояний между стенкой и кромкой сопла. Вычисления проведены методом прямого численного моделирования с детальным кинетическим механизмом GRI-MECH 3.0. Рассчитанные поля температуры соответствуют ранее полученным экспериментальным данным при тех же условиях. Анализ интенсивности теплового потока на стенке, а также распределений температуры и радиальной компоненты скорости на удалении от оси симметрии, показал, что решения для пламени, направленного на преграду, имеет автомодельный вид. Кроме этого, было определено, что максимальное количество диоксида азота выделяется в конфигурации, когда вершина конуса только соприкасается с поверхностью преграды.
Impact of Super Absorbent Polymer and Polyacrylamide on Water Holding Capacity on Ultisol, Lampung
Authors: Ramadhani Winih Sekaringtyas , Cahyono Priyo , Syaifudin Akhmad , Afandi Afandi
Published: March 2024

Methods of soil and water conservation in tropical wetlands have been carried out is using chemicals to increase the stability of soil aggregates and water-holding capacity. The experiment aims to improve soil stability using Polyacrylamide (PAM) and Super Absorbent Polymer (SAP) materials. Experiment was carried out in R&D Dept. PT. Great Giant Pineapple (PT. GGP), Lampung. The treatment was to mix ingredients into the water with variations the ratio of ingredients (g): water (ml), among others, 1:100, 1:200, 1:300, and 1:400. Next, the SAP/PAM material is mixed into 100 g of soil with a dose of 0 g, 4 g, 8.5 g and 10 g of SAP. After the soil was mixed with the SAP, take as much as 15 g and place it in a pot containing 1 kg of soil. Results experiment show the SAP is a polymer capable of increasing water availability in ultisols and sand used in the experiment and can increase the water content by 18% if compared control. Meanwhile, PAM is a more dominant polymer in its function as an aggregate adhesive instead of a water binder. Super Absorbent Polymer (SAP) and Polyacrylamide (PAM) can chemically function as chemicals for soil conservation.
House Type Specification for Housing Development Project Using Machine Learning Techniques: A Study From Bangkok Metropolitan Region, Thailand
Authors: Tochaiwat Kongkoon , Pultawee Patcharida
Published: March 2024

Specifying the house type of a housing development project is extremely necessary. However, the determination of a project type nowadays has become a delicate matter, requiring the expertise and knowledge of seasoned project developers. This study aimed to apply four machine learning techniques: Decision Tree, Random Forest, Gradient Boosted Tree and Ensemble Classifier, to analyze the data from 179 housing estate projects collected from market reports of real estate companies in Thailand, with a focus on selecting projects with average monthly sales rates that are higher than the average of all acquired projects. This process resulted in a reduced dataset of 59 projects, including 31 townhouses, 22 single-family houses, and six semi-detached houses. As a result, the Ensemble Classifier model has the highest accuracy of 90.91%. The factors most influential in identifying the type of project are the distances from a main road, sky train station, bus station, hospital, and department store. Single-detached house projects are suitable for locations with high potential. The ideal location should be in proximity to a main road, bus station, department store, and hospital. In addition, townhouse projects are ideal for medium-potential locations that are not near shopping malls, but still require proximity to a hospital, sky train station, or bus station. Ultimately, semi-detached house projects are ideal for medium-potential locations that require proximity to a main road for convenient access to sky train station or public transportation, depending on the specific context.
Equidade e atenção à saúde das mulheres em situação de rua: problemáticas em torno de uma população vulnerável
Authors: Eugênio Aline Pacheco , Silva Francisca Bárbara Gomes da , Meneses Islândia Barbosa Dantas de , Aquino Jael Maria de , Mendes Paulo Cezar , Martins Júnior Leônidas Nelson , Araújo Samuel Guedes de Souza , Mindelo Émille Caroline de Souza , Sousa Francismara Gomes de , Bezerra Anne Milane Formiga
Published: March 2024

Mulheres em situação de rua enfrentam desafios significativos que impactam diretamente sua saúde e bem-estar, especialmente devido às barreiras de acesso aos serviços de saúde e às disparidades de gênero na assistência. O objetivo do estudo é refletir sobre a equidade para mulheres em situação de rua. A falta de moradia segura e estável, juntamente com questões como violência de gênero e falta de acesso a recursos básicos, contribui para a deterioração de sua saúde física e mental, tornando a equidade na saúde crucial para garantir atenção adequada a essas mulheres. Para promover uma abordagem mais equitativa na saúde das mulheres em situação de rua, é crucial adotar estratégias que considerem suas necessidades específicas. Isso inclui a implementação de políticas públicas para garantir o acesso universal aos serviços de saúde, programas de capacitação para profissionais de saúde lidarem com essa população de forma sensível e empática. A equidade e atenção à saúde das mulheres em situação de rua é um problema social de extrema gravidade, sendo urgente a necessidade de implantação de políticas sociais e ações governamentais destinadas a reduzir esse quadro de vulnerabilidade. E termos imediatos, investimentos em abrigos temporários, promoção de parcerias para a existência de programas de empregos, capacitação profissional, campanhas de combate ao estigma associado a situação de rua e sobretudo, um contínuo apoio psicossocial para essa população e seus familiares, são ações já consolidados e que podem ser implantadas em curto espaço de tempo pela administração pública. Como limitação, este estudo deixa claro o cenário de invisibilidade dessa população, tanto na sociedade quanto nas políticas públicas de atenção à saúde, o que evidencia a extrema urgência de prestar atenção às suas particularidades, uma vez que seus padrões de enfermidade estão intimamente relacionados às questões de gênero.
Research on Cup and Handle Price Pattern Based on Svm Method
Authors: Zhou Yutian
Published: March 2024

Analysis of the data of stock is one of the most important methods for investor to knowing if the stock is going to have a uptrend and determine whether call and put the stock. This is one of the methods that can highly decrease the risk of investing. Therefore, to decrease the risk of loss and increase the return, prediction of the stock price become a crucial task and has attracted many investors. To introduce a new method to solve the problem, this paper didn’t focus on predicting the price of stock but cup and handle pattern. This pattern always implies that there is an upward trend follows this. The trouble is how to find out the stock has the pattern from many stock data. Based on machine learning (ML) techniques, this paper uses support vector machine (SVM) model to classify the data and to determine whether this set has the pattern or not. The model uses gaussian radial function as kernel function. The experiment result demonstrates that the classify model reach a relatively satisfied result and can give a relative good, classified result.
Research on the Prediction on the Sales of Electronic Games
Authors: Huang Weiqi
Published: March 2024

This essay's primary goal is to predict and analyze the sales characteristics of electronic games based on different features, including but not limited to release time, ranking, publisher, and game genre. The methods employed in this paper include a neural network architecture where the activation function is ReLU , XGBoost model, and LightGBM model. Through experiments, this paper effectively constructs machine learning models using these three methods to predict video game sales. Furthermore, the performance of these three methods is compared and analyzed using three evaluation metrics: root mean squared error (RMSE), mean absolute error (MAE), and mean squared error (MSE). And the prediction error of each model is plotted as a related line chart to visually show the details of the three methods in analyzing this problem. Finally, by comparing the experimental results of these three methods in the field of electronic game sales prediction, this article analyzes the advantages and disadvantages of neural networks, XGBoost, and LightGBM in related problem analysis, providing readers with reference and reference.
Study on Creditor Remedies in Corporate Capital Reduction
Authors: Yu Zixuan
Published: March 2024

This paper aims to study the remedies available to creditors in the context of corporate capital reduction. It explores the risks and challenges faced by creditors during the process of corporate capital reduction and discusses measures to safeguard their rights and interests. Firstly, it introduces the concept and background of corporate capital reduction, analyzing the potential losses that creditors may suffer in this process. Subsequently, it provides a detailed analysis of the legal framework surrounding corporate capital reduction, including legal regulations, procedures, and a comparison of creditor protection mechanisms under different legal systems. In terms of remedies available to creditors, it examines the exercise of recovery rights, applications for preservation orders, as well as the deadlines and requirements of remedial procedures. By conducting practical case studies, it summarizes the practical experience and effective methods for creditors' remedies. Lastly, it offers suggestions for improving creditor protection measures, such as enhancing laws and regulations, strengthening supervision, and promoting information disclosure. This study provides valuable insights for protecting the rights and interests of creditors in corporate capital reduction. It also contributes to the further enhancement of creditor protection mechanisms by relevant institutions and legislators, thereby fostering the rational development of corporate capital reduction.
Research on Influence of Digital Media Works on Painting Work
Authors: Na Li
Published: March 2024

Thanks to the technological revolution, mankind has entered the interactive era. Under the trend of digitalisation, the application of AI robots, meta-universe, ChatGPT, NFT, VR, virtual space and other technologies in creation, the combination of traditional painting and digital media technology not only changes the form of expression of the paintings themselves, but also guides the artist's way of thinking and semantic output in the act of creation, making the artist's The way of expression, media materials, creative stance and the state of the viewer have all undergone significant changes. What many artworks nowadays pursue is not the effect of the picture in the general sense, but the programme and process of the formation of the work. From this point of view, the aesthetic experience focuses on the process of contact between the viewer and the artwork, and the viewer's participation becomes more and more important in reflecting the value of the artwork. With the help of case studies, this article develops from three major points, namely, creative thinking, creative process and expression of works, to analyse the qualities of contemporary digital media art creation, focusing on the role of cultural aesthetics and way of thinking for artists and audiences. Finally, through the self-analysis and summary of the author's works combined with digital media technology.
Compare the Beneficial Ownership Identification System from the Perspective of Anti-Money Laundering Between China and the UK
Authors: Chen Mingyang
Published: March 2024

This study mainly focuses on the comparative study of the identification of beneficial owner system in anti-money laundering supervision of China and the UK. China scored poorly in The Financial Action Task Force's assessment of its anti-money laundering regime, which singled out major deficiencies in the system for identifying beneficial owners. Beneficial owner is an important concept in anti-money laundering regulation. The beneficial owner is, literally, the true beneficiary behind the company's various business practices. In today's very active economic activities, money laundering has always been the focus of law enforcement. At the same time, the complexity of corporate ownership structure and the diversity of money laundering forms have brought great obstacles to the supervision of money laundering. In such an environment, the identification and supervision of the actual beneficiaries behind the company can improve the efficiency of the supervision of money laundering. The UK received a high rating in The Financial Action Task Force's assessment and is considered to have set up an advanced anti-money laundering regulatory system internationally. Therefore, this study will find suggestions and directions for China's future institutional improvement by comparing the identification systems of beneficial owners in anti-money laundering supervision between China and the UK.
Efficient Market Hypothesis in Contemporary Applications: A Systematic Review on Theoretical Models, Experimental Validation, And Practical Application
Authors: Xu Chuer
Published: March 2024

Financial markets are fundamental to the stable development of the socioeconomic landscape. This study focuses on the efficient market hypothesis (EMH) positing that financial markets reflect all available information. The importance of studying EMH lies in assessing its feasibility in contemporary society and trying to make markets become "efficient". This paper reviews the theoretical models of EMH, explores statistical validation methods, and investigates leveraging machine learning for stock price prediction. Those findings suggest that while the feasibility of EMH in today's society may be reduced, its theoretical framework and derivative formulas still hold reference value. Furthermore, when utilizing machine learning for stock price prediction, it is essential to consider subjective human factors, such as irrational behavior. In conclusion, this research highlights the diminished feasibility of EMH in modern society, underscores the continued improvements of its theory and formulas, and emphasizes the significance of considering subjective human factors in utilizing machine learning for stock price prediction.
Pricing and Optimization Model of European Options
Authors: Li Muxi
Published: March 2024

Financial market forecasts are gradually gaining the attention of investors. The options market is an integral and important part. Commonly used analysis methods include traditional BS formula and CRR model. This article obtained the transaction data of SP&500 from February 2013 to February 2018, used the data of the first 4 years to train the model, and finally explored the actual price and predicted value of the European call option. To forecast the stock price, a hidden Markov model (HMM) is first applied. And on this basis, improve the parameter estimation in the traditional method BS-CRR, and compare each model with the actual value of the option. Compared with the traditional model, to some extent, the Hidden Markov Model can predict the state of the stock market., get rid of the limitations of the BS model assumptions, predict the direction of the price trend, and verify the feasibility of its application in the financial field.
A Comprehensive Analysis of Stock Investment Recommendations Based on the Liquor Industry: Risk, Profitability, and Ratio Perspectives
Authors: Liu Kexu
Published: March 2024

Focusing on the liquor industry, this study takes Kweichow Moutai Liquor Co., LTD., Shanxi Xinghuacun Fen Distillery Co., LTD., and Sichuan Tuopai Shed Liquor Co., LTD., as the objects, and provides targeted investment suggestions for different types of investors by analyzing risk, profitability, valuation and other indicators. The results show that Kweichow Moutai has an excellent performance in market value and ROA, which is suitable for index investment and ratio analysis investors. Shanxi Xinghuacun Fen Distillery attracts the attention of income investors with its high dividend rate; Sichuan Tuopai Shede Wine's low PE Ratio may attract value investors. Depending on the type of investment, we provide investment advice for index investors, ratio analysis investors, income investors, value investors, PEG investors, discounted cash flow investors, momentum investors, insider trading investors and share buyback investors. The results and analysis of this study can help investors more accurately evaluate the investment value of different liquor companies to meet their specific investment objectives and risk preferences.
Freshippo's New Retail and New Logistics Business Model Development Strategy Analysis
Authors: Zheng Linye
Published: March 2024

Combines the traits of the new retail sector with the new retail business model as its subject of study. Because Freshippo is the current benchmark company for new retail in China, this paper examines business model innovation for retail businesses in the context of new technology and a new consumer environment by focusing on the challenges Freshippo faced during its development and potential solutions. Freshippo must completely comprehend the issue as it is and emphasize its own unique qualities. They need to conduct refined management, make full use of the logistics equipment, and enhance delivery management.
Industrial Transformation in Hebei Province of China
Authors: Liu Jiaxin
Published: March 2024

Industrial transformation and upgrading are the main themes of the economy nowadays. However, in the present development, industrial transformation in many districts has encountered bottlenecks. This paper pointed out the problems of industrial transformation in the Hebei province of China and analyzed in depth the causes of the bottleneck of industrial transformation in Hebei. The main reasons were insufficient marketization, brain drain, and insufficient innovation. Based on each of these causes, Hebei should increase marketization, deal with the relationship between the government and the market, increase the Private-Public-Partnership business model, improve the social security mechanism for talents, invest in the education industry, increase the investment in research and innovation, establish a complete innovation ecosystem, and build an economic environment conducive to breaking the bottleneck of industrial transformation.
The Impact of Tesla’s Brake Failure on the Company’s Stock Price
Authors: Wang Yue
Published: March 2024

The research is based on the current social issue, “Tesla brake failure scandal”. The stock price of Tesla has long been a subject that has attracted researchers from a diverse range of fields including mechanism, economy and finance. In this work, theoretical insights of situational crisis communication theory is synthesised in the context of economy principles, based on which a conceptual framework is analysed. In this article, the future price of Tesla stock is predicted through 5 aspects, including: situational crisis communication theory, investor sentiment, investor behavior, market status and economy policies. It is found that the stock price will fall in a short term and rise back in the future. The findings also provide guidelines for Tesla investors in investing and also provide similar example for investors’ investment when facing sudden negative incident. Therefore, the essay is a pioneer in combing the theories and finance market practice, while accurate data could be analyzed in the future.
The Analysis of Immigrant in Europe
Authors: Chen Rui
Published: March 2024

Europe has a lengthy and intricate history concerning immigration, as individuals from various regions of the world have migrated to the continent for numerous reasons over the centuries. This migration has occurred both voluntarily and involuntarily. However, in recent years, the issue of immigrants in Europe has become a highly controversial topic, with divergent perspectives and debates. This paper examined the fundamental aspects surrounding the phenomenon of migration to Europe, including a detailed analysis of the origin and characteristics of the migrant population. Additionally, an extensive discussion and investigation of the impact and transformations brought about by this population will be presented. This paper also provided insights into several potential changes and challenges associated with this group, offering specific recommendations to local governments. Furthermore, this paper suggested the implementation of specialized labor training programs and job opportunities that address the underrepresentation of immigrants in specific industries. The extended researched information and detailed suggestions provided by this paper gave the public a clearer understanding of the general status quo of European immigrants and the chances of solving some essential issues that have been bothering the society brought by the group.
Movie Recommendation System Based on Machine Learning
Authors: Zhang Yinghe
Published: March 2024

In today’s era, with the growth of businesses on an individual basis, many applications are trying to provide more effective services to individual users, and eventually launched personalized services. Simply put, when a user enters certain keywords in a search engine, the recommendation system can push certain information or products to the user. Based on this principle, there are personalized recommendation videos on the homepage of short video platforms, and various music software have launched personalized radio stations. Even if you want to watch a movie on Netflix, it can recommend it to you. These applications are all looking for similar content in the content that users are interested in and recommending it. A simple movie recommendation system only matches similar movies through user history records, and the accuracy of matching is not high and easily affects efficiency. Therefore, a simple movie recommendation system can no longer meet user needs. The movie recommendation system that incorporates Spark and machine learning algorithms can better serve the public. This article will explore the impact of adding different algorithms to machine learning content on the matching degree of recommended content.
Tax Evasion in Personal Income Tax
Authors: Su Yudi
Published: March 2024

Tax evasion is an illegal act of not paying or underpaying tax. With a significant rise in the number of tax evasion cases in recent years, discussions based around this topic has increased overall. Its substantial level of severity not only affects the tax evaders themselves, but also influences the economy as a whole. Although there are many types of taxes that are likely to be evaded, for example corporate income tax, this essay aims to discover several aspects of tax evasion in personal income tax, such as the ways in which people tax evade, including the question of why people tax evade and real life examples of public figures. It focuses on the current consequences of tax evasion in today's society, including research conducted across different countries and how they deal with tax evasion cases. Moreover, detection methods of tax fraud used by tax authorities and the government are mentioned.