bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship between Service Quality, Customer Satisfaction, Customer Perceptions, and Brand Loyalty at Nestle Indonesia Official Store in Shopee
Authors:   School of Business and Management, Insitut Teknologi Bandung, Bandung, Indonesia, Madani Muhammad
Published: August 2024

Customer loyalty is a crucial factor for achieving long-term profitability by fostering strong relationships with customers. Loyal customer exhibit behaviors such as repeat purchases, willingness to recommend the company’s products, and resistance to competitor offerings. The level of satisfaction with the services provided by a company is initial predictor of customer loyalty behavior. Nestle Indonesia’s new strategy of opening online stores through major e-commerce platforms in Indonesia has increased opportunities for customers to access the company’s products. However, Nestle’s customers have faced issues in their online shopping experience due to a significant gap between their expectations and the actual performance of Nestle’s service quality. This study aims to examine the relationship between service quality, customer satisfaction, customer perception, and brand loyalty using a path analysis approach based on Partial Least Square (PLS). Data was collected by distributing questionnaires to 400 customers, determined using the Slovin formula. The sampling technique used for these 400 customers was purposive sampling. The results of this study indicate that Nestle’s service quality is perceived as suboptimal, particularly in terms of reliability and responsiveness. This has led to low customer satisfaction, poor customer perception of Nestle, and consequently low customer loyalty. The influence of service quality, customer satisfaction, and customer perception on customer loyalty is 90.9%, and customer perception shows as a mediating variable between service quality and brand loyalty.
Marketing Strategy for Online Condition Monitoring (Case Study: Nanoprecise Machine Doctor)
Authors:   School of Business Management, Bandung Institute of Technology, Indonesia, Aldo Wahjudi Paulus , Wandebori Harimukti ,   School of Business Management, Bandung Institute of Technology, Indonesia
Published: August 2024

Today’s industry is facing ever-increasing competition. To stay competitive, a company needs to maintain the high reliability and productivity of its assets. Companies must invest in maintenance programs to prevent unplanned downtime and reach their optimal reliability. Predictive maintenance or condition-based maintenance is an important aspect of a maintenance program to maintain asset reliability. One emerging predictive maintenance tool, fueled by digital disruption, is online condition monitoring. Online condition monitoring provides diagnostics with shorter intervals than walking survey analysis with portable analyzers, allowing it to diagnose faults not detectable by other condition monitoring methods. Adikari Wisesa Indonesia, a firm specializing in maintenance services, has partnered with Nanoprecise Sci Corp and is the sole distributor of Machine Doctor sensors in Indonesia to enhance its maintenance service. However, the sales of Machine Doctor were suboptimal. This study aims to identify the business issue, provide analysis, and propose a solution to the business issue. The market is analyzed using the STP framework. Then, the general environment (PESTEL), industry environment (Five Forces), and competitor analysis are performed to better understand the external environment Adikari Wisesa is currently in. After analyzing the external environment, the internal environment of Adikari Wisesa is studied by using a Resource-Based View, VRIO, and Value Chain Analysis. Then, a SWOT analysis is performed summarizing the business situation of the company. A business solution is then proposed based on a TOWS matrix.
Analysis of Sarcasm Language Use on Instagram Social Media (Case Study of Students from the Faculty of Social Sciences UINSU)
Authors: Yasmin Adelina Putri , Zuhriah Zuhriah
Published: August 2024

This article aims to examine the dynamics of sarcasm language use by students of the Faculty of Social Sciences at the State Islamic University of North Sumatra (UINSU) in their interactions on Instagram social media. The urgency of this research arises from the observation that sarcasm, although often used as a communication tool, frequently leads to misinterpretations and interpersonal conflicts in the digital context that lacks non-verbal cues. This study adopts a qualitative case study approach with a constructivist paradigm, using thematic analysis techniques to interpret data obtained through in-depth interviews and observation of social media activities. Data validity testing was conducted through source triangulation to ensure the reliability of the findings. The research results indicate that students have significantly varied understandings of sarcasm, which is often misinterpreted as serious communication, leading to undesired emotional reactions. In the segment "Social Cognition: Student Poll on Sarcastic Comments on Instagram," it was found that although students could identify sarcasm, emotional reactions to sarcasm varied, indicating a need for higher digital literacy to effectively manage and process information in social interactions. The discussion in this article emphasizes that sarcasm on social media, while being a dynamic expression tool, requires deep contextual understanding to avoid misinterpretation. Therefore, enhancing media literacy is crucial to help students understand communication nuances and reduce the risk of misunderstandings in digital interactions. This study highlights the importance of effective digital literacy education, which not only enhances students' communication skills but also prepares them to navigate the complex and often ambiguous digital ecosystem.
Implementasi Sosial Media Marketing Cv.Padang Gadget Indonesia Cabang Solok Melalui Sosial Media Instagram Pada Program Akhir Tahun 2023
Authors: Akbar Taufiq Muhammad , Flowerina Indria
Published: August 2024

This research aims to identify the implementation of social media marketing on the Solok branch of CV. Padang Gadget Indonesia via social media Instagram at the end of 2023 program, both in terms of strategy, implementation, and challenges. The social media marketing strategy implemented by CV. Padang Gadget Indonesia Solok branch is to improve brand awareness, increase sales, and expand market reach. As one of the most massive sources of information, social media is a very effective and efficient marketing channel. To describe this research, researchers used the AIDDA theory. In this theory there are 5 (five) stages / social media marketing strategies, namely Attention, Interest, Desire, Decision, and Action. This research uses descriptive qualitative methods, research that produces descriptive data in the form of writing or speech, as well as the behavior of people being observed. This method is applied to describe and analyze phenomena, events, social activities, attitudes, beliefs, perceptions, thoughts of people individually and in groups. CV. Padang Gadget Indonesia Solok branch has implemented the AIDDA theory in the social media marketing strategy they implement. For each content produced for each AIDDA theory, CV. Padang Gadget Indonesia Solok branch focuses on 3 (three) important points, which are the choice of appearance/design and content that suits the target market and a consistent narrative. In the end of 2023 program, social media marketing implementation strategy of CV. Padang Gadget Indonesia Solok branch succeeded in showing positive results. This can be seen from the increase in sales and improvements in insight on social media Instagram @padanggadget_solok. Meanwhile, the obstacle faced is managing the content creation schedule. The strategies implemented are also always evaluated at the end of each month or each program. Through this strategy, CV. Padang Gadget Indonesia Solok branch is able to become the top-of-mind and remains the main choice for their target.
Climate change impacts: exploring the rising climate-security nexus in Pakistan
Authors: Saad Shiza , Mahsud Muhammad Irfan , Mian Gulandam
Published: August 2024

This research aims to bring to the fore the climate security nexus in Pakistan. According to this study, the anthropogenic climate change in Pakistan has been a probable cause of internal migrations that have played an important role in exacerbating the existing conflicts in Khyber Pakhtunkhwa (KP), Sindh, and Balochistan provinces. The climate security nexus in Pakistan is established through a deductive approach using the lens of environmental security and political ecology. The study plays a crucial role in shaping Pakistani policy-making circles, providing insights into climate change mitigation, conflict-sensitive adaptation, and societal resilience. The study adopts an exploratory approach using primary and secondary data sources with semi-structured interviews and multidisciplinary assessment to analyse the issue comprehensively and provide accurate findings. The study concludes that the anthropogenic climate change-induced internal migration exacerbating armed conflict in the Pakistani regions of KP and Balochistan has the potential to cause significant economic losses in the future. It argues that the migration triggered by resource scarcity due to climate change can lead to armed conflict and provide fertile grounds for militant groups to gain strength.
Projeto computacional para geração de soluções arquitetônicas de habitações em edifícios verticais
Authors:   , Dornelas Wallace Roberto Silva
Published: August 2024

Com o crescente avanço do uso de ferramentas computacionais para auxiliar nas mais diversas áreas, pondera-se sobre a possibilidade de aplicar tais recursos para agilizar e potencializar a abrangência de processos que, manualmente, seriam muito mais dispendiosos. A pesquisa centra-se na exploração dessa possibilidade, buscando apropriar-se dos recursos de programação visual, através do software Grasshopper, para gerar um algoritmo que auxilie no processo de projeto de Arquitetura de edificações verticais, principalmente em torno das seguintes questões: sendo a habitação um dos temas de maior interesse acadêmico e sendo o acesso à habitação uma questão tão emergente, como podemos nos utilizar de um código pra diversificar as soluções de projeto, de forma a fugir das plantas-tipo na verticalização, para direcionar a solução de cada unidade habitacional para a própria pessoa que a utilizará como residência. Para endossar nossas reflexões, discutimos sobre questões referentes ao Open Building, que defende uma Arquitetura aberta e mutável, voltada para integrar aos seus usuários e a seus arredores; sobre questões de customização, que é uma possibilidade que vem sendo explorada por designers de produtos para endereçar suas soluções diretamente para as demandas e preferências do usuário; e sobre as principais vantagens de se aplicar um processo projetual complexo em uma interface computacional, beneficiando-se de tecnologias presentes nos dias de hoje, como ferramentas paramétricas e softwares de base BIM, que possibilitam o máximo de integração entre modelo virtual e propriedades específicas sobre a sua contraparte do mundo real, como propriedades de material, coeficientes de resistência, dentre outros. Nossa pesquisa analisa uma série de ferramentas existentes para embasar uma ferramenta própria, destinada a sanar essa questão da variabilidade de soluções de edifícios verticais, que depois será aplicada em um exercício projetual, para explorar seu potencial. Palavras-chave: Projeto computacional. Projeto paramétrico. Open Building. Customização. Edifícios verticais.
OʻQUVCHILARDA DEVIANT XULQ SHAKLLARINING NAMOYON BOʻLISHI VA TAHLILI
Authors: Usmonov Abdurashid
Published: August 2024

Pedagogik tadqiqotlarning psixologiya bilan ugʻunlashuvi orqali  oʻquvchilarda deviant xulq atvor alomatlari kuzatilgan, oʻquvchilarda deviant xulq atvorning shakllanish sabablari, klassifikatsiyasi, deviant hulq atvorli oʻquvchilarning  hatti harakati, moyilligi, ularni nazorat qilish, oʻrganish, komunikativ muloqat oʻrnatish, ularga ta’sir koʻrsatuvchi omillar haqida ma‘lumotlar keltirilgan boʻlib ularda xarakter aksentuatsiyasining mavjudligi, psixik rivojlanishidagi ogʻishish, oʻz-oʻzini hurmat qilishning pastligi, oʻz-oʻzini noadekvat baholash holatlari haqida keltirilgan.
Seismic Behaviour of Steel Building with And Without Bracing System by Performance Point
Authors: Harshil J. Senghani  , Nirmal S. Mehta  , Arjun M. Butala  , Jayraj V. Solanki
Published: August 2024

Steel structures have been playing an important role in the construction industry in recent years. It is necessary to create a model that performs well under seismic loading. Seismic performance of multi-storey steel framed buildings is designed as per the provisions of the Indian Code (IS 800 -2007). The ductility of the structure can be increased by adding steel support to the structure. There are different types of support for retrofitting. X-brace, diagonal brace, V-shaped brace, inverted V-shaped brace etc. There are many ways to prepare steel supports such as: The frame of the building is designed with or without different types of connections such as diagonal, X-brace, V-brace and inverted V-brace, which will be considered in this study. The performance of each frame was examined by nonlinear static analysis (pushover analysis) using the ETABS-2021 software package. The comparison of braced and unbraced frames was based on the examination of base shear forces, hinge consequences and lateral displacements of different frames. Compare the response curves and performance points of different frames with and without support systems to know the relationship between the various frames involved.
Transformando dados em informação: aplicação de business intelligence para a automação da análise de dados em saúde
Authors: Gaioti Cleiton Schwambach , Silva Michael Ruberson Ribeiro da , Meira Eduardo Frizzera , Santos Jéssica Barreto Ribeiro dos , Barros Junior Antonio Almeida de
Published: August 2024

Contexto: avanços científicos recentes indicam uma nova fronteira na epidemiologia: a análise de grandes conjuntos de dados (Big Data), onde ferramentas de Business Intelligence desempenham um papel fundamental. Objetivo: Implementar um Data Warehouse (DW) para análise de dados em saúde e testar sua utilização na análise de indicadores de saúde mental no Espírito Santo (ES). Métodos: O estudo foi dividido em quatro fases: 1) identificação de bases de dados e indicadores; 2) extração, transformação e carga de dados, 3) criação de um Data Warehouse e; 4) processamento analítico com visualização de dados. Resultados: A partir da criação do DW, identificou-se que foram gastos R$ 53,7 milhões em internações relacionadas à saúde mental no estado do Espírito Santo, com uma redução progressiva ao longo dos anos. Durante a pandemia de covid-19, houve um aumento superior a 100% nos óbitos relacionados a transtornos mentais, especialmente ligados ao uso de álcool e tabaco, mais comuns entre indivíduos pardos, do sexo masculino e entre 45 e 59 anos. Conclusão: A implementação de um DW para análise de dados em saúde permitiu identificar importantes indicadores de saúde mental no Espírito Santo e permitirá novas análises no contexto da saúde pública no ES e Brasil.
Impact of Structured Physical Activity on Attention Span in Young Children in Ethiopia
Authors: Bikila Abebe
Published: August 2024

Purpose: The aim of the study was to analyze the impact of structured physical activity on attention span in young children in Ethiopia.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings:  Impact of structured physical activity on the attention span of young children in Ethiopia reveals several key findings. The studies indicate that regular, organized physical activities significantly enhance children's attention spans, leading to improved focus and cognitive performance in educational settings. These activities help in developing better self-regulation skills, which are crucial for maintaining attention during tasks. The research also highlights that children who engage in structured physical exercises show fewer signs of hyperactivity and distractibility compared to those who do not participate in such programs.
Unique Contribution to Theory, Practice and Policy: Cognitive load theory, self-determination theory & ecological systems theory may be used to anchor future studies on the impact of structured physical activity on attention span in young children in Ethiopia. The recommendations for integrating structured physical activities into educational curricula offer a practical contribution by providing actionable steps for educators to enhance children's attention span and cognitive development. The policy recommendations contribute uniquely by emphasizing the need for supportive educational policies that mandate and fund structured physical activities.
Brace Use for ACL Injury Prevention in Soccer: Impacts on Rehabilitation and Performance
Authors: Yueh Kristin , Huang Janice
Published: August 2024

ACL injuries are extremely common, especially in soccer, and often require extensive and invasive treatment such as surgery. Braces are almost always used to provide support and stability to the knee during the recovery period, following injury, and for preventative purposes. Additionally, braces aid the patient by preventing excessive movement and rotation that can further damage the ligament.
This review article aims to explore the use of braces in the prevention and recovery of ACL injuries, especially in soccer. In addition to the physiology and biomechanics of the ACL, this article will also discuss the factors that contribute to ACL injuries including gender, playing surface, and neuromuscular traits. It will also explore the different types of braces and their unique functions and role in injury prevention and rehabilitation. With more research, we can move towards a future where ACL injuries in soccer could become a rarity rather than a common concern.
The Implementation of Ethical AI Within Autonomous Vehicles
Authors: Fedorov Vadim , Curran Noah
Published: August 2024

The integration of Artificial Intelligence in the rapidly evolving landscape of autonomous vehicles necessitates an in-depth exploration of the associated ethical implications, especially in life-or-death scenarios. This research paper delves deeply into the multifaceted ethical issues associated with the deployment of AI-driven autonomous vehicles and the moral implication regarding this development. A core inquiry of this work is discerning the appropriate entity responsible for critical decision-making when human lives are in the balance. Given the unique context of autonomous driving, where split-second decisions could be a norm rather than an exception, we aim to investigate both the current algorithms' decision-making processes as well as their lack of transparency and question the underlying ethics that shape them. Drawing from real-world incidents involving autonomous vehicles, and juxtaposing them with theoretical predicaments, this study endeavors to present a holistic view of the prevailing ethical perspectives. Building on this foundation, we introduce a fitting ethical decision-making framework, rooted in deontological principles, designed to guide autonomous vehicles through morally complex scenarios on the road. To validate and refine our framework, we employ diverse case studies from the world of autonomous driving. Simultaneously, recognizing the inherent challenges that any ethical framework might encounter, we also discuss potential pitfalls and offer suggestions to enhance its robustness and applicability. As a result, this research underscores the pressing need for meticulously crafted guidelines governing AI within autonomous vehicles, ensuring that safety, individual autonomy, and ethical qualifications to be implemented within the age of driverless transport.
Asian American adolescents’ adaptation to American society
Authors: Du Lucas
Published: August 2024

As presented by the National Longitudinal Study of Adolescent to Adult Health in 2019, suicide was the most common cause of death among 15-24 years old Asian American youth. Such devastating influence includes many factors like generation gaps, language fluency, cultural differences, and family problems. Asian American adolescents have gone through experiences of discrimination from prejudices and stereotypes, and many scholars have conducted research on the mental health effects. This paper focuses on Asian American adolescents’ adaptation to conditions in American society today. It can help readers understand how resilience is important in this growing American society and provide a reference for other adolescents on how mental health awareness needs to be considered.
Jazz and its Impacts on Racism: A Cultural Consideration
Authors: Du Lucas
Published: August 2024

This paper reviews the impacts of jazz on racism through a cultural perspective. It examines the various changes to jazz music and whether black jazz musicians were affected through the production of jazz. Many black jazz musicians today are still facing discrimination in the music industry. However, jazz audiences have continued to retain interest in jazz music and jazz has certainly transformed and continues to evolve and adapt to changing music preferences.  As long as African Americans continue to produce jazz and advocate for their music, jazz music can create positive impacts in American society and reduce racism.
Age-guided Cardiovascular Disease Diagnosis from Retinal Images: A Multitask Deep Learning Framework
Authors: Ryu Ellen , Lee Seunghyuk , Sim Youngjae , Marks Devon
Published: August 2024

One of the major global health concerns today is cardiovascular disease. A cardiovascular disease is a disease that involves the heart and blood vessels, its most common causes being smoking, alcohol, high blood pressure and blood cholesterol, etc. Added to the fact that it is a major global health issue, the fact that it is incurable once diagnosed makes the disease significantly more severe. Hence, an early diagnosis is crucial in preventing the disease and, if detected, mitigating it. Traditionally, detection for cardiovascular diseases was usually done by computerized tomography scans; however, these methods are too costly and not easily accessible for the general population. Because of these shortcomings of the traditional diagnosis method, there is a need for a more automated, accessible early diagnosis system, and that is the center of this research. In this study, we propose a novel machine learning-based approach for the detection of cardiovascular diseases using retinal images. The proposed method comprises three modules: a feature extractor, an age prediction network, and a cardiovascular disease diagnosis network. We consider the diagnosis of cardiovascular diseases as a classification task, aiming to assess the severity level of the condition based on the retinal image. The proposed method classifies retinal images into one of four categories, each corresponding to a specific level of disease severity. Through extensive experimentation, the results demonstrate that the proposed method outperforms state-of-the-art approaches. We expect that the proposed method holds the potential to become a novel machine learning-powered biomarker for diagnosing cardiovascular diseases.
Artificial Intelligence in Supply Chain Management
Authors: Awasthi Shyla
Published: August 2024

Given the recent surge in AI technology, companies are increasingly using it as part of their supply chain. This paper explores how different types of Artificial Intelligence can be used to improve supply chain activities. AI can help overall functions or specific parts of the supply chain including planning, sourcing, manufacturing, delivering and returning. The paper analyzes Amazon as a case study, as they have implemented AI in almost all aspects of their supply chain, from ordering a product to receiving it at your doorstep. Finally, limitations and challenges to implementing the AI are discussed.
Social Impact of South Korea’s Economic Polarization in the 21st Century
Authors: Oh Junhwan(Jayden)
Published: August 2024

Polarization has gained popularity as a pivotal lexicon to understand modern society. The rich and poor gap has been excessively widening to the point where the low and middle classes believe the effort is meaningless. Despite polarization being a global concern, this essay shall examine South Korea’s economic polarization and its social impact. Specifically, the essay spotlights the potential causes of extreme discrepancy between the high-class and low-middle class, alongside social division. The gist of this piece is to propose that economic disparities in classes have resulted in social polarization. The essay shall be structured into three sections. First, I analyze the possible causes of economic polarization. Second, this part delineates how economic polarization has been manifested in South Korea. Third, the social impact of such disparity will be analyzed. These sections suggest that aggravated economic polarization significantly dwindles the low and low-middle classes to self-actualize.
Exploring the role of CRISPR in cell-based cancer immunotherapy
Authors: Farrokhi Meha , B Divya
Published: August 2024

Cancer immunotherapy, particularly CAR-T cells, has transformed the landscape of cancer treatment, offering a paradigm shift in prognosis. To enhance the efficacy of cancer treatment, recent scientific endeavors have concentrated on harnessing the potential of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated protein 9 (Cas9) technology where they use this technology to cancer treatments and cancer immunotherapy including the engineered CAR-T cell. There have been a lot of advances including correcting genetic mutation, curing genetic disorders, etc. this review paper will cover cancer immunotherapy, CAR-T cell therapy  and it;s mechanism, successful clinical trials, ongoing clinical trials, the current limitations as well as the future advantages of this technology.
The Effect of age on the performance of teenage male cricket players in regional India
Authors: Uday Nayak Ananth , Lumiere Education  , Vo Khoi
Published: August 2024

The purpose of the study is to determine the effect of age on teenage male cricket players in regional India. Age is a significant predictor of outcomes in athletes. It has been previously studied in the sport of cricket, but hasn’t been researched in India. The study aimed to examine the age of the teenage male cricket players and whether they are willing to go professional in the future. A Survey was conducted to collect the data related to age and desire to go professional. A chi-square test was used to compare the data at various age categories with the hypothesis that the ages 17 years -18 years will have a higher desire of playing a higher level including professional compared to their juniors. The research was based on data of male cricket players between the age of 15 years to 18 years. These age groups were chosen because they are the most promising age category the selectors look at for building a balanced team for the future.
Organ-Agnostic Whole Slide Image Analysis using Self-Supervised Transfer Learning
Authors: Sim Jiwoo , Kohl Bruce
Published: August 2024

Traditional methods for pathology image analysis are well-known for their time-consuming and labor-intensive nature, often relying on the expertise of pathologists. In recent years, numerous research studies have been proposed to develop automated systems using machine learning approaches to address these challenges. While these systems have demonstrated promising performance, they often exhibit bias towards specific organs, cells, or tasks, limiting their ability to provide generalized solutions for pathology image analysis. To address this issue, I propose an organ-agnostic pathology image analysis system that leverages a self-supervised transfer learning approach. The proposed system comprises two stages: self-supervised representation learning and transfer learning. In the self-supervised representation learning phase, a machine learning model is trained to consistently extract essential features encapsulating the characteristics of diverse pathological images such as visual patterns of tumors. Subsequently, in the transfer learning phase, these well-pretrained models are utilized to train downstream tasks, such as tumor type classification or cancer area segmentation. The proposed approach outperforms all existing state-of-the-art supervised methods in multiple public pathology image benchmarks.
Biophysical Mechanisms of Microfluidic Devices: Future in Diagnostics and Microcellular Analyses
Authors: Platzman Matthew , Rahman Maisha
Published: August 2024

Microfluidic dеvicеs (MFDs) havе rеvolutionizеd fluid manipulation and analysis at thе microscalе. They sustain prеcisе control ovеr fluid flow through intricatе nеtworks of microchannеls that allow for the integration of multiplе laboratory practicеs onto a singlе chip, transforming sciеntific rеsеarch and practical applications in biology, chеmistry, and mеdical diagnostics. MFDs havе fundamеntal charactеristics that contributе to thеir functionality and vеrsatility, such as matеrials likе Polydimеthylsiloxanе (PDMS), providing composition flеxibility, cost-effectiveness, and biocompatibility. In MFDs, fluid motion rеgulation involvеs еmploying various flows, microvalvеs, and capillary forcеs, stimulating fluid transport without external еnеrgy. Thе narrow width of the microchannels is advantageous in biomedical applications, as it assures efficient fluid separation and reduced sample volumеs. This tеchnology has еxhibitеd practicality in protеin charactеrization, DNA analysis, cеll sеparation, and hormonal signal rеcognition, еnabling sеnsitivе dеtеction and quantification of biomolеculеs. This provides researchers with valuablе insight into complеx biological procеssеs and disease mechanisms. MFDs play a crucial rolе in simulating complеx biological procеssеs on a small scalе, leading to the emergence of organ-on-a-chip and lab-on-a-chip tеchnologiеs. MFDs hold rеmarkablе promisе in rеvolutionizing cancеr diagnostics, sеrving as еffеctivе platforms for isolating and analyzing cancеr-spеcific biomarkеrs, facilitating еarly dеtеction, pеrsonalizing mеdicinе, and monitoring tumor dynamics in real time. MFDs allow for thе evaluation of therapeutic efficacy and investigation into cancеr metastasis, еnhancing intraopеrativе pathological еvaluation. By lеvеraging thеir uniquе charactеristics, MFDs havе thе potеntial to drivе significant advancеmеnts in cancеr diagnostics and improvе our insight into complеx biological procеssеs, leading to enhanced and personalized therapeutics.
Beyond Stereotypes: A Socialist Feminist Exploration of Female Characters in Shoujo Anime and Their Impact on Traditional Gender Roles in Japanese Society
Authors: Wang Zinong
Published: August 2024

This study explores the complex portrayal of female characters in shoujo anime, focusing on how they challenge or subvert traditional gender roles and stereotypes in Japanese society. Through the examination of three popular shoujo anime series—“Nana”, “Skip and Loafer,” and “Violet Evergarden”—the paper investigates how the shoujo genre has evolved within the context of Japan’s cultural, historical, and political landscape. Utilizing a socialist feminist perspective, the research highlights the intersectionality of gender, class, and power, providing insights into gender equality’s universal challenges and opportunities. This investigation emphasizes shoujo anime’s potential to shape perceptions of gender roles among viewers, inspire alternative narratives, and contribute to the ongoing struggle for respectful and empowering representations of women. The study concludes with recommendations for fostering a culture that respects and values diversity in gender roles and expressions.
Bilingualism and the Intellectual Advantage
Authors: Singh Shribani , Bostian Diana
Published: August 2024

Bilingualism has been becoming more common within today’s generation as the significance and value of knowing more than one language increases. With the prominence of bilingualism, the purpose of this study is to determine whether there is a correlation between bilingual first/second generation Americans and the intellectual advantage. From previous research, many studies have considered the variables of socioeconomic status [SES], impacts of immigration and culture, and the differing language backgrounds of students. This study will address the gap of clear correlation between bilinguals and the intellectual advantage by determining the relationship between student executive functions and their bilingualism as first/second generation Americans. This was a three-part, quantitative correlational study. Subjects completed a 29.5 minutes three test study including Verbal Fluency Test, SAT passage, and the Stanford-Binet Test. There were eighteen participants for the research study. Of the eighteen, there were nine who were monolinguals and nine who were bilinguals from all grades within the high school. The results had shown increased scores for monolinguals among the three test experiments. Monolingual participants scored especially higher on the Verbal Fluency Test, Stanford-Binet test, and SAT scores. The SAT test scores were similar among both monolingual and bilingual groups. The goal of this experiment was accomplished. We were able to determine whether there was a potential correlation between bilingualism and the intellectual advantage including the factor of first/second generation Americans.
Exploration of Health Trends: Are systematic injustice and disparities causing unequal consequences?
Authors: Mukkuzhi Sarah
Published: August 2024

While most of the world holds a heavy dependence on drug use, addiction affects society’s most vulnerable in an unbalanced manner.  Although addicts are dismissed for not taking advantage of resources around them to succeed, it is not widely known how disadvantaged communities are predisposed to fail in the United States from the very moment they are born. America possesses deep, horrifying roots of systematic injustice concerning substance use, seen evidently during the crack cocaine epidemic. It is a common notion that substance addictions lead to one being impoverished; however, historical lack of opportunities and no education leads to poverty, which in turn will lead to addiction. Prevalent mental health illnesses can be associated with drug use used for coping mechanisms when individuals are presented with a lack of better alternatives or education. Creating more accessible resources and education to those who are struggling is one of the first steps in correcting existing disparities caused by historical injustices. Minorities are found to disproportionately have worse mental and physical health, a trend mirrored by history. New models of proactive care have to be implemented to address the growing health gap in our country to prevent the growing problem, most importantly at a young age before individuals follow the trend of society which predetermined some to live unhealthier lives based on social conditions.
Exploring Mechanisms and Promising Treatments of Malignant Melanoma
Authors: Pan Iris , Bhatnagar Sanchita , Wang Dan
Published: August 2024

Malignant melanoma is one of the 4 main types of skin cancer, among basal cell carcinoma, squamous cell carcinoma, and Merkel cell carcinoma, and it is the most aggressive and metastatic form. Unfortunately, advanced-stage, metastatic patients have a 5-year survival rate of a mere 5% to 19%. 
The traditional first-line treatment option for localized cutaneous melanomas is a tumor and margin excision surgery; however, in advanced-stage patients, chemotherapy drugs and targeted therapies have emerged as a more effective treatment option. The rising incidence of malignant melanoma in the fair-skinned populations of North America, Europe, and Australia, along with rising resistance to immune checkpoint inhibitors (ICIs), underscores the importance of new, efficacious melanoma treatments. The novel and breakthrough development of two types of immunotherapies, T-cell receptor (TCR) engineered T-cell immunotherapy (TCR-T) and mRNA vaccines, are promising treatment options, especially for advanced-stage, metastatic patients. While these treatments are in the early stages of development, various clinical trials have resulted in positive outcomes. Lastly, this review will highlight the challenges and setbacks to immunotherapy and future directions. Immunotherapy may become the standard for melanoma treatment, however, by overcoming current barriers, only time will tell.
DrugSimNet: Enhancing Drug Representation Learning through Drug Similarity for Accurate Drug-Drug Interaction Prediction
Authors: Park Jisu , Oh Ryan , Kim Taehee , Marks Devon
Published: August 2024

The field of drug discovery has garnered significant attention, particularly in light of advancements brought about by the "Homo Hundred" generation. Among the critical processes in drug discovery is drug screening, which is an important process in identifying and eliminating candidates that may pose potential side effects in the human body before in vivo experiments. The drug screening is often conducted via prediction of drug-drug Interaction, which utilizes algorithms to assess the likelihood and potential consequences of interactions between different drugs. This approach is a multifaceted process that involves the identification of potential new therapeutic entities by employing a combination of computational, experimental, translational, and clinical models. Traditional approaches to predicting drug-drug interactions in the context of drug discovery and polypharmacy heavily rely on empirical knowledge, in vitro assays, and animal experiments. However, these methods suffer from drawbacks such as being time-consuming, resource-intensive, and limited in their ability to capture the complete complexity of drug interactions. Therefore, there is a pressing need to develop automated and efficient methods that can accurately predict drug-drug interactions. To address the aforementioned problem, we proposed a novel representation learning based framework for prediction of drug-drug interaction. The proposed framework consists of two stages: representation learning, which focuses on extracting meaningful features from drugs, and transfer learning, utilized to train the drug-drug interaction prediction network. Through extensive experimentation, we have shown that the proposed drug-drug interaction prediction framework surpasses existing methods in terms of performance.
Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification
Authors: Subramanian Sharan , Gilpin Leilani
Published: August 2024

The application of Artificial Intelligence in the medical market brings up increasing concerns but aids in more timely diagnosis of silent progressing diseases like Diabetic Retinopathy. In order to diagnose Diabetic Retinopathy (DR), ophthalmologists use color fundus images, or pictures of the back of the retina, to identify small distinct features through a difficult and time-consuming process. Our work creates a novel  CNN model and identifies the severity of DR through fundus image input. We classified four known DR features, including micro-aneurysms, cotton wools, exudates, and hemorrhages, through convolutional layers and were able to provide an accurate diagnostic without additional user input. The proposed model is more interpretable and robust to overfitting. We present initial results with a sensitivity of 97% and an accuracy of 71%.  Our contribution is an interpretable model with similar accuracy to more complex models.  With that, our model advances the field of DR detection and proves to be a key step towards AI-focused medical diagnosis.
CLASSICAL AUTHORS IN SIDONIUS APOLLINARIS’ LETTERS
Authors: BOHÎLȚEA-MIHUȚ Florica
Published: August 2024

This article aims to highlight how Sidonius Apollinaris, a mem
ber of the 5th century Gallic and Christian aristocracy, employs vocabulary of col
ours to depict the physical and psychological portraits of his contemporaries, as
discussed in his letters. By skilfully utilizing literary techniques and adopting mod
els from classical authors he studied extensively, Sidonius demonstrates not only
his robust education but also the continuity of the “color”ʼs semantic pluralism:
“color” in its literal sense, “color” as a means of emphasizing human character, and
“color” as a rhetorical concept.
QUAND L’AMOUR CHRÉTIEN REVÊT LE PÉPLOS D’APHRODITE (ANTHOLOGIA PALATINA, LIBER V)
Authors: NICOLAE Simona
Published: August 2024

Recueillies et transmises par une civilisation chrétienne, compo
sées, pour la plupart, toujours à l’époque chrétienne, autour de Rome ou du Bos
phore, dans des dialectes archaïques et des rythmes anciens, révélant les corps
nus des hétaïres et faisant l’éloge des divinités olympiennes, les épigrammes
d’amour réjouirent les oreilles de ceux qui étaient baptisés dans une nouvelle foi et
qui parlaient une langue considérablement différente. La dichotomie entre l’éros
d’Hellade, charnel, sensuel, tumultueux, et l’amour protecteur appelé agape, ré
servé à l’esprit et détaché des pulsions de l’âme, s’approfondit tellement dans
l’Empire romain des chrétiens que le texte cardinal de ce monde, le Nouveau Tes
tament, bible de l’amour envers Dieu et de l’amour de Dieu, bannit l’Éros et oublie
son nom. Une littérature laïque fleurit cependant dans ce monde gouverné appa
remment par un amour hiératique et sans passion. C’est le fruit de certains écri
vains qui ne renoncent pas à la Sainte Trinité, qui connaissent et citent les Écri
tures, mais se considèrent les « artisans d’un chant nouveau » et rivalisent, à par
tir de cette position de « néotériques » de la Rome seconde, avec les pères des vers
élégiaques. Leur poésie – on cite ici celle d’Agathias Scholasticos, Paulus Silentia
rius, Macedonios le Consul, personnages cultivés, privilégiés de l’époque et
proches de l’empereur Justinien, ainsi que d’autres inconnus ou peu connus – a été
bien trop souvent analysée en tant que résultat conventionnel et anachronique de
la paideia classique, en désaccord avec la vie et la culture de l’époque. On explore
dans notre intervention la relation entre l’Antiquité et le Moyen Âge et l’on se de
mande si la poésie est, dans ce cas, un savoir à transmettre ou un véhicule arché
typal des émotions de l’homme.
THE PREFACES OF METROPOLITAN VENIAMIN COSTACHI – ROLE AND SIGNIFICANCE IN THE AGE OF “NATIONAL REGEN-ERATION” AND “EUROPEAN SENTIMENT”
Authors: NIȚĂ-DANIELESCU Daniel
Published: August 2024

A special role in the work of Metropolitan Veniamin Costachi is played by the prefaces to works translated and printed by him, or published with his blessing and through his care. Their importance, primarily pastoral and cultu­ral, also stems from the need to identify and recommend the most appropriate solutions to meet the challenges of his age, designated as one of “national regene­­ra­­tion” and “European sentiment”. Thus, responses and recommendations can be made to remove the causes of the deplorable state of affairs that legitimized, nourished and enabled the regeneration effort, such as political and social instability, the corruption of morals and the “non-development of culture”.
AETERNITAS IMPERII. L’ARCO DI COSTANTINO, LA MENS IM-PERIALE E L’EVOCATIO CRISTIANA
Authors: CAMPONE Maria Carolina
Published: August 2024

Aeternitas imperii. The Arch of Constantine, the impe
rial mens and the Cristian evocatio. The arch of Constantine, the subject of
numerous studies, has recently returned to the center of attention of critics, who
have highlighted traces of the ancient rite of evocatio. For this reason, the monu
ment was used to reiterate the emperor’s loyalty to the cult of Sol, even after the
battle of the Milvian bridge. The text also analyzes the epigraph in relation to the
knowledge that the Christian world had of the evocatio and its meaning, noting
how a correct use of sources and a careful translation lead to dissuading from
openly unilateral positions.
LA TOMBA DI DECIO MAGIO (SIL. 11, 377-384)
Authors: LAUDANI Carmela
Published: August 2024

The tomb of Decius Magius (Sil. 11, 377-384). Verses
377-384 of the eleventh book of Silius Italicus’ Punica are dedicated to the last vi
cissitudes and death of Decius Magius, the only citizen who publicly disagrees
with the pact signed by the Capuans with Hannibal during the Second Punic War.
The poem celebrates his memory by adopting motifs present in some Hellenistic se
pulchral epigrams, such as the burial far from the homeland and the land that wel
comes the deceased, to positively connote his death. His destiny recalls by contrast
that of Hannibal and, in a minor key, the story of Atilius Regulus.
THE EMPEROR AND THE HISTORIAN: AN ANALYSIS OF ELA-GABALUS’ IMAGE CONSIDERING CASSIUS DIO’S TRAJECTORY AND POINT OF VIEW
Authors: SILVA Semíramis Corsi
Published: August 2024

In the work Roman History (Ῥωμαϊκὴ Ἱστορία), the historian and
senator Cassius Dio constructs a highly negative image of the emperor Marcus
Aurelius Antoninus (218-222), traditionally known as Elagabalus. This image of
Elagabalus reverberated in modern uncritical historiographical studies and was
passed down through a long tradition in a resignified form, arriving as a feminine
and anarchic image of Elagabalus in artistic works. Knowing the importance that
Cassius Dio's work seems to have had in the construction of the image of Elagabalus
that will reach our contemporary times, it draws our attention to think about the
relationship that Dio had with Elagabalus. In view of this, the objective of this text
is to construct, as far as possible, the political trajectory of Cassius Dio, his cursus
honorum, as well as to analyze some characters that he mentions in his work taking
a prominent role in certain functions of Elagabalus' government. Having done this,
we will seek to question possible relationships between Cassius Dio's career, his
view on the rise of certain agents alongside Elagabalus and his highly negative
construction of this emperor's political image.