bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Antidepressants on Non-Alcoholic Fatty Liver Disease and their Underlying Mechanism
Authors: Peng Hailing , Qing Yumin , Han Liu , Fu Shifeng , Li Jianglei , Wang Siyi , Liu Deliang , Liu Lini , Tan Yuyong
Published: September 2024

Introduction:

The high prevalence of Non-Alcoholic Fatty Liver Disease
(NAFLD), a chronic progressive disease characterized by hepatic steatosis, poses a serious
burden to human health. Depression and NAFLD share some common pathogenic
mechanisms, and patients with depression are at an increased risk of NAFLD. The drug
mirtazapine is commonly used in the treatment of depression, but it can also cause liver
damage. However, whether mirtazapine induces or aggravates NAFLD remains uncertain.
Thus, we evaluated the risk factors for NAFLD in patients with depression and the
effects of mirtazapine on NAFLD in vitro.

Methods:

Inpatients diagnosed with depression at the Second Xiangya Hospital of Central
South University between 2019 and 2022 were included in this study, and NAFLD
was determined using an abdominal ultrasound examination. The risk factors for the development
of NAFLD in patients with depression were analyzed using logistic regression
analysis. AML-12 and MIHA cell lines were used to observe the effects of mirtazapine
on NAFLD using oil red O staining. RT-qPCR and western blotting were used to
explore the molecular mechanism behind NAFLD development induced by mirtazapine.

Results:

Logistic regression analysis showed that older age, use of mirtazapine or fluoxetine,
longer duration of antidepressant use, and combined hyperlipidemia or T2DM were
risk factors for NAFLD in patients with depression. in vitro experiments revealed a subsequent
increase in the content of intracellular lipid droplets as mirtazapine concentration
increased. Mechanistic studies showed that mirtazapine increased the expressions of
TLR4, MyD88, IFN-γ, IL-1β, IL-6, and TNF-α mRNA in hepatocytes. Moreover, the expressions
of TLR4, MyD88, and p-NF-κB-p65 proteins increased in a dose-dependent
manner.

Conclusion:

Age, antidepressant type, duration of antidepressant use, and comorbidities
could be risk factors for NAFLD in patients with depression. Furthermore, mirtazapine
can cause steatosis in both AML-12 and MIHA cell lines and may promote the development
of NAFLD through the TLR4/MyD88/NF-κB signaling pathway. This study lays a
solid foundation for further research on depression and NAFLD and can contribute to
the prevention and treatment of these two diseases.

result:

Logistic regression analysis showed that older age, use of mirtazapine or fluoxetine, longer duration of antidepressant use, and combined hyperlipidemia or T2DM were risk factors for NAFLD in patients with depression. In vitro experiments revealed a subsequent increase in the content of intracellular lipid droplets as mirtazapine concentration increased. Mechanistic studies showed that mirtazapine increased the expression of TLR4, MyD88, IFN-γ, IL-1β, IL-6, and TNF-α mRNA in hepatocytes and the expression of TLR4, MyD88 and p-NF-κB-p65 proteins in a dose-dependent manner.
Biomimetic Nanoscale Systems for Targeted Delivery in Cancer: Current Advances and Future Prospects
Authors: Singh Dilpreet , Poonia Neelam
Published: September 2024

The field of cancer therapy has witnessed a transformative shift with the emergence of biomimetic
nanoscale drug delivery systems. These innovative platforms draw inspiration from nature's intricate designs
and have the potential to revolutionize cancer treatment by precisely targeting tumor cells while sparing
healthy tissues. In this critical appraisal, we explore the current advances in biomimetic nanosystems, examining
their principles, diverse natural inspirations, benefits, and challenges. Biomimetic nanoscale systems, including
liposomes, exosome-based carriers, virus-mimetic nanoparticles, and cell-membrane-coated nanoparticles,
have demonstrated the ability to overcome the complexities of the tumor microenvironment. They offer
enhanced target specificity, improved cellular uptake, and prolonged circulation, addressing limitations associated
with conventional chemotherapy. We assess recent breakthroughs and discuss the potential impact of
biomimetic nanosystems on oncology, emphasizing their versatility in encapsulating various therapeutic payloads,
from small molecules to nucleic acids and immunotherapeutics. While these systems hold great
promise, we also scrutinize safety concerns, scalability issues, and the necessity for rigorous clinical validation.
In conclusion, biomimetic nanoscale drug delivery systems represent a promising avenue in the quest for
more effective and targeted cancer therapies. This appraisal provides a comprehensive overview of the current
state of the field, highlighting its potential to shape the future of cancer treatment and underscoring the importance
of continued research and development efforts in this dynamic and transformative domain.
A Method for Predicting Allelic Variants of Single Nucleotide Polymorphisms
Authors: Tyagunova Ekaterina Evgenyevna , Zakharov Alexander Sergeevich , Pavlova Galina Valerievna , Ogarkova Daria Alexandrovna , Zhuchenko Natalia Alexandrovna , Gushchin Vladimir  Alexeyevich
Published: September 2024

Introduction:

Single nucleotide polymorphisms (SNPs) are pivotal in clinical genetics,
serving to link genotypes with disease susceptibility and response to environmental factors, including
pharmacogenetics. They also play a crucial role in population genetics for mapping the human
genome and localizing genes. Despite their utility, challenges arise when molecular genetic studies
yield insufficient or uninformative data, particularly for socially significant diseases. This study
aims to address these gaps by proposing a method to predict allelic variants of SNPs.

Method:

Using quantitative PCR and analyzing body composition data from 150 patients with
their voluntary informed consent, we employed IBM SPSS Statistics 29.0 for data analysis. Our
prototype formula, exemplified by allelic variant ADRB2 (rs1042713) = 0.257 + 0.639 * allelic
variant ADRB2 (rs1042714) - 0.314 * allelic variant ADRB3 (rs4994) + 0.191 * allelic variant
PPARA (rs4253778) - 0.218 * allelic variant PPARD (rs2016520) + 0.027 * body weight +
0.00001 * body weight², demonstrates the feasibility of predicting SNP allelic variants.

Results:

This method holds promise for diverse diseases, including those of significant social impact,
due to its potential to streamline and economize molecular genetic research. Its ability to
stratify disease risk in the absence of complete SNP data makes it particularly compelling for clinical
and laboratory geneticists.

Conclusion:

However, its translation into clinical practice necessitates the establishment of a comprehensive
SNP database, especially for frequently analyzed SNPs within the implementing institution.
The Effectiveness of Gamification in Changing Health-related Behaviors: A Systematic Review and Meta-analysis
Authors: Alzghoul Bashar
Published: September 2024

Introduction

In the current era, different health issues exist because of the lifestyle we have adopted. Mostly, people suffer from different deadly disorders like diabetes because of their own behavior. Gamification is considered to be a good source to maintain a healthy life. Gamification has benefits over other games as it involves changing the behavior of the individual. It helps in giving support to unhealthy people and by changing their behavior, makes their health better.

Objective

Gamification has several advantages, but little is known about it. In this systematic review, we examined studies that illustrate the benefit of gamification in health and well-being. For this objective, we recognized the benefits of gamification based on existing research and performed a complete literature review of empirical studies on gamification for health and well-being.

Methodology

We collected 30 papers containing empirical evidence on the influence of gaming on health and well-being. The inclusion criteria entailed peer-reviewed articles published from 2012 to 2023. The studies were published in English language and their methodology was randomized controlled trials.

Results

The majority of the studies indicated positive impacts, less than half mixed effects, and some of the evidence was intermediate. The results for health-related behavior were clear, whereas the results for cognitive outcomes were varied. According to the collected information, gamification could promote health and wellness, particularly behaviors related to health. Several studies, however, demonstrated a mixed or neutral influence.

Conclusion

From the findings of the studies, it could be easily stated that gamification helps in changing the behavior of the individual. However, due to fewer studies used in the review and due to restrictions in certain limits in articles, it could not clearly be concluded that gamification provides the same response in individuals of varying ages. A greater number of studies should be included, and the findings should be carefully examined to know clearly about the effect of gamification in response to the changing behavior of individuals of varying ages.
ANALISIS SEKTOR UNGGULAN TERHADAP PENYERAPAN TENAGA KERJA
Authors: Nisa' Khoirun , Ajeng Kartika Galuh
Published: September 2024

Gerbangkertosusila is a development area that contributes the largest income in East Java. However, the high Gross Regional Domestic Product (GRDP) in this region is apparently followed by a high unemployment rate. Therefore, it is necessary to identify and develop leading sectors that have the potential to absorb a lot of labor. This study aims to analyze the influence of each leading sector on labor absorption in the Gerbangkertosusila region from 2013 to 2022. The sectors analyzed include the manufacturing industry sector, construction sector, trade and repair sector, accommodation and food beverage supply sector, also information and communication sector. The results of the analysis show that the manufacturing industry sector and the trade and repair sector are effective in absorbing a lot of labor. Meanwhile, the construction sector, accommodation and food beverage supply sector, and information and communication sector are less effective in absorbing labor. The two sectors that are effective in absorbing a lot of labor should be the main focus of regional development in order to increase regional economic growth, increase community income, and reduce the unemployment rate.
Pengaruh Ambassador Characteristics, Store Design, Dan Electronic Word of Mouth Terhadap Brand Image
Authors: Lavennia Shella , Handrito Radityo Putro
Published: September 2024

The goal of this quantitative explanatory research is to identify the effects of ambassador characteristics, store design, and electronic word-of-mouth on the brand image of affordable luxury brands. Using non-probability sampling method and purposive sampling technique, 340 people with the minimum age of eighteen years who know about brands considered as affordable luxury ones, who have visited the store of those brands during the last one year, and who have accessed information about those brands via social media were selected as the respondents. The data analysis was conducted in SPSS 25 by applying multiple linear regression. This study finds that (1) ambassador characteristics positively and significantly influence brand image, (2) that store design has no effect on the brand image, and that (3) electronic word-of-mouth positively and significantly influences the brand image.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh ambassador characteristics, store design, dan electronic word of mouth terhadap brand image affordable luxury brands. Penelitian ini menggunakan jenis penelitian eksplanatori dengan metode kuantitatif. Teknik sampling yang digunakan adalah non-probability sampling dengan metode purposive kepada 340 responden. Karakteristik dari responden penelitian merupakan generasi milenial dan generasi z dengan usia minimal 18 tahun yang mengetahui merek-merek yang termasuk ke dalam affordable luxury, pernah mengunjungi toko dari merek affordable luxury dalam kurun waktu satu tahun terakhir, dan pernah mengakses informasi mengenai merek affordable luxury melalui media sosial. Penelitian ini menggunakan software SPSS 25 dengan melakukan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa (1) variabel ambassador characteristics berpengaruh positif dan signifikan terhadap brand image, (2) variabel store design tidak berpengaruh terhadap brand image, dan (3) variabel electronic word of mouth berpengaruh positif dan signifikan terhadap brand image.
Pengaruh Relationship Marketing Dan Customer Perceived Value Terhadap Repurchase Intention Dimediasi Oleh Customer Loyalty
Authors: Marpaung Putri Nauli , Arif Moh. Erfan
Published: September 2024

The objective of this study is to identify and explain the effect of relationship marketing and perceived value on repurchase intention, the effect of relationship marketing and perceived value on customer loyalty, the effect of customer loyalty on repurchase intention, and the mediation role of customer loyalty. Using purposive sampling technique, 190 people with the minimum age of sixteen years who had bought the products of Emina more than once were selected as the respondents. The data of this explanatory research was acquired from Likert-scaled questionnaires and processed using path analysis in SPSS ver. 25. This study finds that relationship marketing does not significantly affect repurchase intention, perceived value significantly affects repurchase intention, relationship marketing significantly affects customer loyalty, perceived value significantly affects customer loyalty, customer loyalty significantly affects repurchase intention, customer loyalty mediates the effect of relationship marketing on repurchase intention, and that customer loyalty mediates the effect of perceived value on repurchase intention.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui dan menjelaskan pengaruh relationship marketing dan perceived value terhadap repurchase intention, pengaruh relationship marketing dan perceived value terhadap customer loyalty, pengaruh customer loyalty terhadap repurchase intention, dan peran mediasi dari customer loyalty. Penelitian ini merupakan penelitian explanatory research dengan menggunakan kuesioner bersekala likert sebagai alat pengumpulan data. Pengumpulan sampel menggunakan teknik purposive sampling dengan karakteristik responden wanita berusia > 16 tahun dan telah membeli produk Emina lebih dari satu kali. Jumlah sampel yang digunakan dalam penelitian ini adalah sebanyak 190 responden. Data yang didapat kemudian diolah menggunakan software SPSS ver.25 menggunakan analisis jalur. Hasil penelitian ini menunjukan bahwa tidak terdapat pengaruh yang signifikan relationship marketing terhadap repurchase intention, terdapat pengaruh signifikan perceived value terhadap repurchase intention, Terdapat pengaruh signifikan relationship marketing terhadap customer loyalty, Terdapat pengaruh signifikan perceived value terhadap customer loyalty, Terdapat pengaruh signifikan customer loyalty terhadap repurchase intention, Customer loyalty dapat memediasi hubungan relationship marketing dan repurchase intention, dan Customer loyalty dapat memediasi hubungan perceived value dan repurchase intention.
Feasibility of At-Home Hand Arm Bimanual Intensive Training in Virtual Reality: Case Study (Preprint)
Authors: Gehringer James E , Woodruff Jameson Anne , Boyer Hailey , Konieczny Jennifer , Thomas Ryan , Pierce III James , Cunha Andrea B , Willett Sandra
Published: September 2024

UNSTRUCTURED

This single-participant case study examines the feasibility of using custom virtual reality (VR) gaming software in the home environment for low-dose Hand Arm Bimanual Intensive Training (HABIT). A 10-year-old with right unilateral cerebral palsy participated in this trial. Fine and gross motor skills as well as personal goals for motor outcomes were assessed before and after the intervention using the Box and Blocks Test, Nine-Hole Peg Test, and Canadian Occupational Performance Measure. Movement intensities collected via the VR hardware accelerometers, VR game scores, and task accuracy were recorded via the HABIT-VR software as indices of motor performance. The child and family were instructed to use the HABIT-VR games twice daily for 30 minutes over a 14-day period and asked to record when they used the system. The child used the system and completed the 14-hour, low-dose HABIT-VR intervention across 22 days. There was no change in Box and Blocks Test and Nine-Hole Peg Test scores before and after the intervention. Canadian Occupational Performance Measure scores increased but did not reach the clinically relevant threshold, due to high scores at baseline. Changes in motor task intensities during the use of VR and mastery of the VR bimanual tasks suggested improved motor efficiency. This case study provides preliminary evidence that HABIT-VR is useful for promoting adherence to HABIT activities and for the maintenance of upper extremity motor skills in the home setting.
Strategies to Improve Use of Online Health Information in Systemically Excluded Populations: A Rapid Realist Synthesis (Preprint)
Authors: Sai Ashna , Salemi Alejandra , Foye Jillian , Fricklas Ethan , Arbor Sage , Skalla Lesley A. , Thoumi Andrea , O'Brien Emily C. , Osude Nkiru
Published: September 2024

BACKGROUND

As internet use for obtaining health information increases, it has become evident that many online platforms are not designed to accommodate systematically excluded populations, such as individuals with low English literacy, racial and ethnic minority groups, and those of diverse gender and sexual orientations. More targeted efforts are needed to reach and impact these populations effectively.

OBJECTIVE

With the rise of online platforms, especially with the incorporation of artificial intelligence, it is essential to design platforms with systemically excluded communities in mind.

METHODS

Using the Rapid Realist Review methodology, the authors reviewed published literature to form evidence-based recommendations that can be incorporated into online health information platform design to make the platforms more equitable.

RESULTS

The recommendations include (a) enhancing the readability of online content, (b) addressing the public's perceptions of disease and providing behavior cues, (c) creating culturally relevant content, (d) ensuring diversity in visual aids, and (e) enhancing consumer trust in information on the platform.

CONCLUSIONS

See above
Integration Strategy of Artificial Intelligence in Medical Education Based on Evidence-Based Practice Approach (Preprint)
Authors: Gao Jinxia , Liu 2nd Longjun
Published: September 2024

UNSTRUCTURED

The advent of artificial intelligence has brought more opportunities and challenges for the future development of medical education, thereby become as a driving force to promote educational transformation. However, no consensus exists on how to systematically integrate artificial intelligence into medical education for bridging the gap between the rapid development of technology and medical education, and enhancing the quality of healthcare services. Evidence-based practice approach as a problem-solving strategy utilized across various professions, facilitates the translation of high quality evidence into clinical practice. This article aims to explore an innovative systematic pedagogical approach, integrating artificial intelligence into the medical domain through the application of the widely recognized “5A” method of evidence-based practice, from both practitioners’ and developers’ perspectives. Education field assumes responsibility for imparting knowledge and skills to students, enabling them to comprehend, analyze, and unlock intricacies of artificial intelligence. The proposal of this method and its innovative integration theory provide a new idea for the practice reformation of medical education is conducive to promoting innovative development of medical education.
Continuous Pre-training and Performance Evaluation of NorDeClin-BERT for ICD-10 Coding Prediction (Preprint)
Authors: Ngo Phuong Dinh , Tejedor Hernández Miguel Ángel , Chomutare Taridzo , Budrionis Andrius , Svenning Therese Olsen , Torsvik Torbjørn , Lamproudis Anastasios , Dalianis Hercules
Published: September 2024

BACKGROUND

Accurately assigning ICD-10 codes is critical for clinical documentation and epidemiological studies. Manual coding is time-consuming and prone to errors, underscoring the need for automated solutions in the Norwegian healthcare system.

OBJECTIVE

This study introduces NorDeClin-BERT, a Norwegian BERT-based model continuously pre-trained on a large corpus of Norwegian clinical text to predict ICD-10 diagnosis coding.

METHODS

NorDeClin-BERT was trained on the ClinCode Gastro Corpus, consisting of 8.8 million deidentified Norwegian clinical notes. The model’s performance was benchmarked against SweDeClin-BERT, SweClin-BERT, ScandiBERT, NorBERT3-base, and NorBERT3-large using accuracy, precision, recall, and F1-score metrics.

RESULTS

The results show that NorDeClin-BERT outperformed other similar-sized general BERT models and achieved equivalent performance with the larger NorBERT3-large model in classifying both prevalent and less common ICD-10 codes. The pretraining data, language specificity, and model architecture of NorDeClin-BERT contributed to its improved classification accuracy.

CONCLUSIONS

This study highlights the potential of NorDeClin-BERT in improving the task of ICD-10 code classification for the gastroenterology domain in Norway, ultimately streamlining clinical documentation and reporting processes. The benchmarking evaluation establishes NorDeClin-BERT as a state-of-the-art model for processing Norwegian clinical text and predicting ICD-10 coding.
Effect of Immersive Virtual Reality TeamSTEPPS Training on Safety Behaviors During Surgical Cases: Non-randomized Intervention vs. Control Pilot Study (Preprint)
Authors: Mazur Lukasz , Butler Logan , Mitchell Cody , Lashani Shaian , Buchanan Shawna , Fenison Christi , Adapa Karthik , Ra Jin
Published: September 2024

BACKGROUND

Approximately 4000 preventable surgical errors occur per year in the US operating rooms (ORs), many due to suboptimal teamwork and safety behaviors.

OBJECTIVE

There is a need to develop and quantify the effect of innovative and immersive training intervention on safety behaviors of surgeons in the operating rooms (ORs).

METHODS

This pilot study was conducted in a large academic medical center with 55 ORs. Safety behaviors were observed and quantified using validated Teamwork Evaluation of Non-Technical Skills (TENTS) instrument during surgical cases at baseline (101 observations; n=83 physicians) and post immersive virtual reality (VR) based intervention (post intervention: 24 observations within each group: intervention group (with VR training; n=10 physicians) and control (no VR training; n=10 physicians)). VR intervention included a 45-minute immersive VR-based training incorporating a pre- and post-debriefing based on Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) principles to improve safety behaviors. A two-tailed, two-sample t-test with adjustments for multiplicity of the tests was used to test for significance in observable safety behaviors between the groupings.

RESULTS

Pre-intervention, all safety behaviors averaged slightly above ‘acceptable’ scores, with an overall average of 2.2 (range 2.0-2.3; 0-3 scale). The ten physicians that underwent our intervention showed statistically significant improvements in 90% (18/20) of safety behaviors when compared to the ten physicians that did not receive the intervention (overall average [range]: 2.5 [2.3-2.7] vs. 2.1 [1.9-2.2]).

CONCLUSIONS

VR-based immersive training intervention focused on TeamSTEPPS principles seems effective in improving safety behaviors in the ORs as quantified via observations using the TENTS instrument.

CLINICALTRIAL

None

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/40445.
Phát hiện và hiển thị 3D vùng bất thường trên ảnh MRI não với cổng dịch vụ Billow AISA
Authors: Lê Minh Lợi , Trần Nguyễn Minh Thư , Nguyễn Thiện Hùng , Hồ Quốc An , Phạm Nguyên Khang
Published: September 2024

Việc phát hiện kịp thời khối u hỗ trợ các bác sĩ trong quá trình chẩn đoán và điều trị cho bệnh nhân được thực hiện hiệu quả trong tình trạng các bệnh viện luôn quá tải là rất cần thiết. Ứng dụng Slicer cho phép dựng hình ảnh 2D vùng tổn thương thành dữ liệu khối 3D giúp các bác sĩ có cái nhìn trực quan hơn trong việc chẩn đoán và điều trị. Tuy nhiên, ứng dụng Slicer chưa cho phép phát hiện tự động vùng bất thường và yêu cầu máy tính đủ mạnh để thực thi các mô hình này. Trong nghiên cứu này, tiện ích mở rộng Billow AISA cho Slicer được đề xuất nhằm xây dựng một cổng dịch vụ phân tích, dự đoán từ dữ liệu ảnh do người dùng cung cấp. Chức năng phân tích, dự đoán được thử nghiệm trong nghiên cứu này là phát hiện vùng bất thường trên ảnh MRI não với mô hình Swin-Unet. Kết quả thực nghiệm trên tập dữ liệu thu thập từ Bệnh viện Trường Đại học Y Dược Cần Thơ cho thấy tính khả thi và hiệu quả của mô hình Billow AISA.
Social Consequence of the Crisis in the Tea Industry of North Bengal
Authors: Rai Bidhya
Published: September 2024

India is the largest consumer and second largest producer of tea in the world. It is a highly labour-intensive industry with 50 % concentration of women workers. However, over the years, tea gardens of India have undergone severe crisis due to low productivity of labour, increasing social cost of production, and fall in tea prices, competition in the world markets and high domestic consumption, removal of tariffs with trade liberalisation. With all the crisis laborers are struggling with the closure and non-payment or curtailment of wages, bonus, gratuity, provident fund and others statutory benefits. The working and living condition of the workers in most of the tea garden is very deplorable and poor and have resulted in forced migration, malnourishment and even death in many cases. The Government failed to provide any meaningful support or alternative to resume work in closed tea gardens. The condition of the workers working in the gardens is worse and insecure and remains unheard and ignored by the plantation owners and the Government.
Strategic Cost Management in Cloud-Based Big Data Processing: An AWS Case Study from Amazon
Authors: Chilukoori Vishnu Vardhan Reddy , Gangarapu Srikanth
Published: September 2024

Abstract: This article presents a comprehensive case study on optimizing big data pipelines within the Amazon Web Services (AWS) ecosystem to achieve cost efficiency. We examine the implementation of various cost-saving strategies at Amazon, including right-sizing EC2 instances, leveraging spot instances, intelligent data lifecycle management, and strategic reserved instance purchasing. Through quantitative analysis of real-world scenarios, we demonstrate significant reductions in AWS compute costs while maintaining performance and scalability. The article reveals that a combination of these approaches led to a 37% decrease in overall operational expenses for Amazon's big data processing infrastructure. Furthermore, we discuss the challenges encountered during optimization, the trade-offs between cost and performance, and provide actionable insights for organizations seeking to maximize the value of their AWS investments. Our findings contribute to the growing body of knowledge on cloud resource optimization and offer practical guidelines for enterprises managing large-scale data processing workloads in cloud environments.
Harnessing Artificial Intelligence for Urban Food Redistribution: A Socio-Technical Analysis of the Feeding America Initiative
Authors: Devadas Tenny Enoch
Published: September 2024

Abstract: This article examines the potential of an innovative AI-driven food redistribution system, "Feeding America," in addressing the dual challenges of food waste and food insecurity among homeless populations in urban areas. The proposed system integrates deep learning models, self-driving vehicles, and strategically placed vending food hubs to efficiently collect and distribute surplus food from restaurants and stores to those in need. By analyzing the system's architecture, workflow, and implementation strategy, this paper explores how artificial intelligence and autonomous technology can optimize the logistics of food redistribution. The article also investigates the economic incentives, including tax benefits and corporate social responsibility opportunities, that could drive business participation in such initiatives. Through a comprehensive evaluation of potential social, environmental, and economic impacts, as well as anticipated challenges, this article contributes to the growing body of literature on technology-driven solutions for social issues. The findings suggest that AI-enabled food redistribution systems have the potential to significantly reduce food waste, alleviate food insecurity among homeless populations, and create a sustainable model of corporate philanthropy, while also highlighting important considerations for policymakers and future research directions in this field.
Utopian Conservatism during the late Perestroika: loosening the Reins of History
Authors: Atnashev Timour
Published: September 2024

This paper is exploring the theme of "conservative turn” in the public debates of the second half of perestroika (1989-1991), while this very period was often described as revolutionary. Based on the analysis of the leading "thick” journals and official review Kommunist, we are showing that a set of very similar historiosophical and political arguments, which could be reasonably described as conservative, was forming in the ideologically competing groups, including liberal supports of the market economy, humanist socialists and Russian nationalists. We identify several stable and interchangeable idioms, widely used by different authors to articulate conservative and anti-revolutionary arguments, drawn from late Soviet Marxism and from the reception of the classical conservative tradition through the work of Alexander Soljenitsin. We discuss the specificity of the "conservative turn” in the late USSR, which have combined the critique of the revolutionary ideology going against the human nature with a utopian assumption in the wholesomeness of history - purified from ideology, violence and political projects. During this period, hundreds of voices articulating conservative arguments do not refer to the actual social experience and practices worth to be preserved and defended, but to a utopian "natural-historical” flow. In this respect, perestroika's conservative turn differs significantly from the heritage of Edmund Burke who appealed to the tangible British tradition and common-Law.
Musical practice as a ritual of resistance in (post)-migratory situation
Authors: Simon Mark
Published: September 2024

The article is dedicated to Afro-Caribbean musical rituals as a form of response to exclusion from public sphere. The author claims that there are two key features of black music (in all the diversity of its genres): a) participatory character; b) dualism, manifested in a combination of a cheerful form and tragic content, hidden from an external observer. Starting from this thesis, the author places Notting Hill Carnival as a key chronotope of the (post)migratory situation in the center of his analysis. West Indian immigrants found themselves in this very situation in post-war Britain. The evolution of the Afro-Caribbean immigrants' carnival culture is considered in three stages. Firstly, the article discusses participation of the African slaves' descendants in the Trinidad street carnival. Then it proceeds to the transposition of this tradition into the context of the UK's capital. Further, the use of carnival forms of protest against racism in modern Britain is discussed. On the one hand, the study reveals a trend towards significant expansion of the "black music" adherents circle due to its subversive potential. On the other hand, it discovers the limits of solidarity among those who are prone to social stigmatization due to their ethnocultural otherness.
Culture and Cognition: In Search of a Non-reductionist Framework
Authors: Sharikov Dmitrii
Published: September 2024

This paper focuses on the analysis of contemporary theories of culture and cognition in cultural sociology. It identifies two major research traditions within cognitivist cultural sociology, based on micro-individualist and collectivist modes of sociological explanation respectively. Two prominent theoretical frameworks within the "micro-individualist" tradition are then critically examined: Stephen Vaisey's dual-process models of culture in action and Omar Lizardo's typology of cultural kinds. It is argued that both frameworks, although well-defined and theoretically insightful, are prone to unwarranted microfoundationalist reductionism. The paper then proceeds to evaluate the presuppositions of the explicitly "collectivist" Zeru-bavelian paradigm of cultural sociology, as well as a series of recent contributions to the field by scholars representing the neo-Durkheimian "strong program". Both are argued to contain problematic assumptions about the location and means of transmission of cultural content. It is concluded that neither "micro-individualist" nor "collectivist" theories of culture and cognition can provide an adequate account of how culture and cognition interrelate since both frameworks are based on explicitly reductionist social ontologies. The article then calls for the adoption of Tuukka Kaidesoja's "naturalized critical realist" social ontology that seeks to overcome these philosophical biases. The paper examines two major sources of Kaidesoja's ontological doctrine, namely Mario Bunge's systemic materialist ontology and the "distributed cognition" perspective. The article then seeks to outline a preliminary sketch of an alternative account of culture that involves the generation, transmission, and transformation of representational states across different media within distributed cognitive systems.
Neurological Identities and the Movement of Neurodiversity
Authors: Ortega Francisco
Published: September 2024

The neurodiversity movement has so far been dominated by autistic people who believe their condition is not a disease to be treated and, if possible, cured, but rather a human specificity (like sex or race) that must be equally respected. Very few studies have been conducted to examine the significance of the neurosciences and the cerebralization of autistic culture for promoting these ideas. The article explores the role of the brain and the neurosciences in projects of identity formation as illustrated in the case of the emergence of the neurodiversity movement. The movement is driven by so called high functioning autistic individuals, who argue that autism is not a disease, but a form of human difference. The article examines the development of autistic individuals and autistic socialities as well as social and community networks. It also addresses the emergence of autistic cultures and various issues concerning autistic identities. It shows that the formation of identities is associated with the cerebralization of the condition. Facts about the brain are mobilized to depict autism positively. The move toward neurosciences has to be understood in a wider social context in which a brain-based vocabulary disseminates outside the lab and penetrates different domains of contemporary societies. This vocabulary is taken up by individuals and groups to speak about themselves and their relation with others as well as in their identity claims and fights for rights.
PENGARUH CURRENT RATIO, DEBT TO EQUITY RATIO, RETURN ON EQUITY, DAN TOTAL ASSETS TURNOVER TERHADAP PRICE BOOK VALUE (Studi Pada Sub Sektor Makanan dan Minuman yang Tercatat di Bursa Efek Indonesia Periode 2016-2020)
Authors: Nugraha Rifqi Kurnia , Firdaus Iwan
Published: September 2024

This study aims to determine the effect of the current ratio, debt to equity ratio, return on equity, and total assets turnover on price book value. The pollution in this study is the food and beverage sub-sector companies listed on the Indonesia Stock Exchange in 2016-2020 totaling 22 companies according to the characteristics determined by the researchers. Selection of the sample using purposive sampling method and obtained 22 companies. The data collection method uses data triangulation, using the company's annual financial report data obtained from the Indonesia Stock Exchange (IDX) website and each company's website. The research method is causality research using panel data regression. The research analysis used panel data regression with the selected model approach, namely the Fixed Effect Model. The results of the study show that the current ratio, total assets turnover has no effect on price book value. Meanwhile, for the variable debt to equity ratio, return on equity has a positive and significant effect on price book value.
PENGARUH RETURN ON EQUITY, DEBT TO EQUITY RATIO, DAN CURRENT RATIO TERHADAP RETURN SAHAM (Studi Kasus Pada Perusahaan Sektor Perindustrian yang Tercatat di Bursa Efek Indonesia Periode 2016-2020)
Authors: Meliala Melinda S. , Rosdiana Riska
Published: September 2024

This study aims to analyze the effect of Return on Equity, Debt to Equity Ratio, and Current Ratio on Stock Return. The population in this study are industrial sector companies listed on the Indonesia Stock Exchange for the 2016-2020 period with the sample used as many as 13 companies. The sampling method used purposive sampling. The data collection method uses the documentation method, using data in the form of stock prices, net income, equity, total debt, current assets and current liabilities obtained through the websites finance.yahoo.com and idx.co.id. The data analysis method uses the panel data regression analysis method with the help of Eviews 9 software. The results of this study indicate that Return on Equity has a positive effect on stock returns, Debt to Equity Ratio and Current Ratio have no effect on stock returns.
PENGARUH CAPITAL ADEQUACY RATIO (CAR), RETURN ON ASSET (ROA), LOAN TO DEPOSIT RATIO (LDR) TERHADAP HARGA SAHAM PERUSAHAAN PERBANKAN (BUMN) YANG TERDAFTAR di BURSA EFEK INDONESIA (PERIODE 2011-2020)
Authors: Sihite Anggun Novita , Sugiyono Sugiyono
Published: September 2024

This study aims to determine the "Effect of Capital Adequacy Ratio (CAR), Return on Assets (ROA) and Loan to Deposit Ratio (LDR) on Stock Prices of Banking Companies (BUMN) listed on the Indonesia Stock Exchange (IDX) for the period 2011-2020. The sampling technique used a saturated sample using 4 state-owned banks. The data analysis used is panel data regression analysis with the help of Software Eviews 12. Based on the results of the partial study, it shows that CAR has a positive and significant effect on stock prices, ROA has no effect, and LDR has a positive and significant effect on stock prices.
PENGARUH RETURN ON ASSETS (ROA), RETURN ON EQUITY (ROE) DAN NET PROFIT MARGIN (NPM) TERHADAP HARGA SAHAM SUB SEKTOR SEMEN YANG TERDAFTAR DI BEI PERIODE 2014-2021
Authors: Putri Devinna Aulia , Sudjono Sudjono
Published: September 2024

Penelitian ini bertujuan untuk menganalisis pengaruh ROA, ROE dan NPM terhadap Harga Saham. Populasi penelitian ini terdiri atas 6 perusahaan. Teknik penarikan sampel menggunakan metode purposive sampling dengan jumlah sampel sebanyak 4 perusahaan. Desain penelitian yang digunakan adalah penelitian kausal dengan pendekatan kuantitatif. Metode analisis data yang digunakan yaitu dengan analisis regresi data panel dengan bantuan software aplikasi Eviews versi 12. Hasil penelitian ini menunjukkan bahwa secara parsial hanya variabel ROA berpengaruh positif dan signifikan terhadap harga saham dan variabel independen secara simultan berpengaruh terhadap harga saham.
PENGARUH KUALITAS PRODUK, NILAI PELANGGAN, PEMASARAN DIGITAL TERHADAP MINAT BELI PRODUK SOFTWARE VEEAM DATA PROTECTION
Authors: Kurniawan Kinanta Ofelia , Ramli Yanto
Published: September 2024

Pengaruh Kualitas Produk, Nilai Pelanggan, Pemasaran Digital terhadap Minat Beli Produk Software Veeam Data Protection. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif dan metode penelitian yang digunakan adalah metode analisis kausal. Sampel yang digunakan adalah sebanyak 200 responden. Metode pengambilan sampel menggunakan purposive sampling. Metode analisis data menggunakan Partial Least Square (PLS) dengan Teknik analisis yang digunakan adalah deskriptif. Hasil penelitian membuktikan bahwa Kualitas Produk berpengaruh positif tetapi tidak signifikan terhadap minat beli, Nilai pelanggan berpengaruh positif dan signifikan terhadap minat beli, pemasaran digital berpengaruh positif dan signifikan terhadap minat beli. Kata Kunci: Kualitas Produk, Nilai Pelanggan, Pemasaran Digital, Minat Beli.
Rancang Bangun Sistem TOBAT (Tepat Obat) pada Pasien Geriatri Berbasis IoT
Authors: Alfi Ikrima
Published: September 2024

Pasien Geriatri merupakan pasien lansia yang memiliki berbagai macam penyakit akibat penurunan fungsi organ dan biasanya membutuhkan pengobatan jangka panjang. Permasalahan pada pasien geriatri adalah kemampuan dalam mengingat. Banyak pasien geriatri yang tidak didampingi keluarga atau care giver sepanjang waktu, sehingga tidak ada yang mengingatkan pasien untuk minum obat. Kondisi yang lebih fatal adalah pasien sudah minum obat namun merasa belum meminumnya, sehingga minum obat lagi. Hal ini dapat menyebabkan over dosis. Perkembangan teknologi saat ini telah memunculkan inovasi dan solusi baru untuk menciptakan kemudahan dalam berbagai bidang diantaranya adalah  teknologi IoT. Aplikasi IoT diantaranya dapat digunakan untuk monitoring dan memberikan notifikasi pengingat minum obat pada pasien geriatri (lansia). Penelitian ini membuat alat/kotak obat untuk membantu pasien geriatri minum obat tepat waktu dan tepat  dosis (sistem TOBAT) berbasis IoT. Aplikasi Blynk digunakan untuk setting waktu pemberian obat. Pada waktu yang telah ditetapkan, sistem ini akan menyalakan lampu indikator dan membuka kotak obat secara otomatis pada kotak obat yang sesuai  serta menyalakan alarm. Sistem TOBAT  juga akan memberi konfirmasi melalui telegram kepada keluarga atau caregiver bila sudah waktunya minum obat dan obat telah diminum.  Hasil pengujian menunjukkan semua komponen telah bekerja 100% (error 0%) namun terdapat delay pada selenoid sekitar 1-2 detik, pada LED dan buzzer sekitar 2-3 detik. Pengiriman pada notif-1 “Waktunya minum obat!” terdapat delay sekitar 3-6 detik. Pada notif-2 “Obat pagi/siang/malam sudah diminum” terdapat delay sekitar 3-6 detik.
Implementasi Logika Fuzzy Terhadap Kontrol dan Monitoring Pada Konsumsi Energi Listrik Rumah Tangga
Authors: Rofiq Muhammad Ainur , Sirait Fadli , Sebayang Ika Sari Damayanthi , Pangaribowo Triyanto , Supegina Fina , Attamimi Said , Husodo Budi Yanto , Pradana Hapril Arief
Published: September 2024

Energi listrik memiliki peran vital pada seluruh sektor kehidupan. Sektor rumah tangga mengkonsumsi energi listrik paling besar berdasarkan data tahunan PLN 2021. Meningkatnya populasi manusia ditambah penggunaan energi listrik yang tidak tepat memperbesar nilai konsumsi rumah tangga. Standby power adalah salah satu efek yang ditimbulkannya. Standby power dapat dihindari dengan memutus beban listrik dari sumber listrik jika tidak digunakan. Penelitian ini merancang alat bantu untuk efisiensi konsumsi listrik pada beban listrik rumah tangga dengan cara meminimalisir konsumsi listrik akibat standby power dengan menerapkan sistem fuzzy logic mamdani. Sensor PZEM-004T berfungsi mengukur besaran listrik, nodeMCU ESP8266 sebagai pengolah data dan Blynk Iot sebagai interface monitoring dan kontrol. Arus dan daya listrik digunakan sebagai variable input fuzzy logic. Rules fuzzy dirancang untuk mendeteksi kondisi beban , jika beban dalam mode aktif output fuzzy berupa kondisi relay close, jika beban dalam kondisi standby output fuzzy berupa kondisi relay open. Beban listrik yng digunakan untuk uji coba meliputi TV 32”, AC, komputer, kipas angin dan laptop . Perkiraan nilai efisiensi yang dihasilkan dalam rentang waktu 1 tahun pada beban TV 7,26% ,komputer 2,12%, AC 0,26%  dan  kipas angin  0% dikarenakan kipas angin tidak memiliki mode standby. Nilai efisiensi pada beban laptop adalah perbandingan pola penggunaan harian yang diakumulasikan selama 1 tahun dengan pola penggunaan A akan menghasilkan efisiensi konsumsi energi listrik sebesar 37,9% dibandingkan pola penggunaan B
Desain Sistem Kontrol Level Deaerator Menggunakan Kontrol Cascade dan Logika Fuzzy di Pembangkit Listrik Tenaga Uap Muara Karang
Authors: Ramadhan Muhamad Husen , Andika Julpri
Published: September 2024

Deaerator storage tank merupakan salah satu komponen yang terdapat pada Pusat Listrik Tenaga Uap atau bisa disingkat PLTU. Deaerator merupakan bagian dari  sistem air pengisi boiler. Dearator memiliki fungsi utama untuk menghilangkan gas (terutama okisgen) sebelum memasuki boiler agar peralatan pembangkit terutama tube – tube pada boiler terhidar dari korosi. Sistem kerja deaerator bekerja secara kontinyu, sehigga level air deaerator harus tetap dijaga untuk dapat memenuhi kebutuhan boiler. Perlu diterapkan pengendalian level air deaerator dan kestabilan sistem deaerator menggunakan metode fuzzy control. Hasil penelitian dengan menggunakan fuzzy logic control menunjukan respon dapat mencapai nialai set point dan dapat menjaga kestabilan. Dengan nilai parameter sebagai berikut settling time (ts) sebesar 302.337 detik, rise time (tr) sebesar 145.907 detik, error steady state (ess) sebesar 0.4 % dan maximum overshoot sebesar 1.329%.
La Economía de Costa Rica en el Siglo XXI. El signo de la Anomalía
Authors: Vargas Solís Luis Paulino
Published: September 2024

Este artículo parte de la siguiente tesis central: la economía de Costa Rica adolece de una constitución estructural incoherente y desarticulada, en virtud de lo cual distintas partes o secciones de la economía tienen evoluciones divergentes. Pero, además, e incluso más importante, eso tiene negativas implicaciones en el ámbito del empleo y en la sostenibilidad de las finanzas públicas, lo que, a su vez, ha dado lugar a respuestas que, al enfatizar la austeridad, implican un significativo debilitamiento del Estado social y, por lo tanto, perniciosas consecuencias sociales.
Mulheres negras no processo de Levante das Calçadas: funcionamento da personalidade para a construção de relações gratificantes
Authors: Dos Santos Marilda Paixão Isaias
Published: September 2024

Este artigo resulta de um recorte de dissertação, cujo objetivo é refletir, analisar e compreender o funcionamento da personalidade na construção do processo de levante das calçadas. Pesquisa de cunho qualitativo, aprovada pelo CEP/UFSCaR, realizada no período de abril/2023 a set/2023, em espaços como residência entre outros escolhidos, nos municípios de Santos e Praia Grande, SP. Construída com 03 (três) mulheres, autodeclaradas negras (pretas e pardas), cis e trans, adultas, sendo utilizado o método de narrativas e entrevistas semiestruturadas para coleta de dados. Os resultados evidenciaram que, mesmo em condições tão adversas, essas mulheres negras em r(existência), pela busca da condição humana que lhes é negada historicamente, mantiveram suas personalidades em funcionamento saudável construindo por amor, amizade e solidariedade o processo de levante das calçadas no habitar de territórios.