bluuebunny/crossref_metadata_2025 huggingface dataset:
Çağdaş Türk Resminde İmge Sembol Bağlamında Kültürel Kimlik Etkileşimleri
Authors: Yılmaz Ahmet Hakan , Yılmaz Betül Serbest
Published: June 2024

Öz
1950 sonrası Çağdaş Türk resim sanatı, batı tarzı resme geçiş sürecini tamamlayarak siyasi, felsefi, kültürel, sosyal ve edebi değişimlerin birikimlerini görselleştiren eserler ile dikkat çekmektedir. Bu süreçte sanatçıların kültürel değerlerini, bakış açılarını, sosyal değişimlerin içerisinde görselleştirildiği yapıtlar üzerinden anlamlandırdığı görülmektedir. Sanatçılar içerisinde yaşadıkları toplumun siyasi, ekonomik, kültürel değişimlere bağlı olarak yönünü çevirdiği çağdaş yaşamda, bireysel ve toplumsal olarak bütün dinamikleriyle oluşturmaya çalıştığı kimlikle öncü konumundadırlar. Bu nedenle Türk toplum yapısının kimliğini anlamada çağdaş Türk resim sanatında kimlik arayışlarının incelenmesi, kültür ögeleri ile açıklanmasını da önemli kılmaktadır. Doğu ve Batı arasında yol almaya çalışan çağdaşlaşma serüveninde Türk resim sanatı bütün dinamikleri ile yer almış, farklı kültürel ögelerin çatışması ya da kaynaşması ile oluşan çelişkilerle kimlik arayışlarının ivme kazanması kaçınılmaz olmuştur. Çağdaşlaşmayı batı tarzı gelenekle ele alan yaklaşımların gerek estetik, gerek felsefi olarak plastik sanat elamanlarının uygulanmasında yeni arayışları zorunlu kılmış, geleneksel sanatla olan uyuşmazlık yeni bir kimlik arayışı ya da değişimi ile giderilmeye çalışılmıştır. Türk resmine özgün nitelik kazandırmak ve gelenekten beslenerek milli bir sanat oluşturma çabalarına yön veren sanatçıların kimlik arayışları ve kültür ögelerinin incelenmesi, bu süreçte geleneksel etkileşimin ne olduğunu ve Türk resminde ulusal sanat arayışları ile geleneksel kaynaklar arasındaki ilişkilere yönelik bilgilerin ortaya konulması çalışmanın amacını oluşturmakta ve önemli görülmektedir. Çalışma da makale, tez örnekleri ve belli kaynaklar incelenerek yapılan literatür taraması ile sanatçıların eserleri üzerinde yapılan eser analizlerinde sanatçının konumu ve sanatsal kimliği net olarak ortaya çıkarken, yapıtlarında geleneksel kültür öğelerinin yansıdığı görülmektedir. Gelenekleri ve modern bakış açılarını eserlerine yansıtan sanatçıların, ulusaldan evrensele yönelen eserleri ve özgün kimlikleri ile çağdaş Türk resmine iz bırakarak yön verdikleri görülmektedir.
Comprehensive Role of GDF15 in Inhibiting Adipogenesis and Hyperlipidemia, Enhancing Cardiovascular Health and Alleviating Inflammation in Metabolic Disorders
Authors: Nayak Nikita , Mukherjee Tuhin , Pattnaik Ashok
Published: June 2024

:

Growth Differentiation Factor 15 (GDF15) has emerged as a pivotal signaling molecule implicated
in diverse physiological processes, spanning metabolic regulation, inflammation, and cardiovascular health.
This study provides a comprehensive exploration of GDF15's multifaceted role, primarily focusing on its association
with obesity-related complications and therapeutic potential. GDF15's involvement in energy homeostasis,
specifically its regulation of body weight and appetite through hindbrain neuron activation and the
GFRAL-RET signaling pathway, underscores its significance as an appetite-regulating hormone. GDF15's intricate
modulation within adipose tissue dynamics in response to dietary changes and obesity, coupled with its
influence on insulin sensitivity, highlights its critical role in metabolic health. The manuscript delves into the
intricate crosstalk between GDF15 and pathways related to insulin sensitivity, macrophage polarization, and
adipose tissue function, elucidating its potential as a therapeutic target for metabolic disorders associated with
obesity. GDF15's association with chronic low-grade inflammation and its impact on cardiovascular health,
particularly during hyperlipidemia and ischemic events, are explored. The intricate relationship between GDF15
and cardiovascular diseases, including its effects on endothelial function, cardiac hypertrophy, and heart
failure, emphasizes its multifaceted nature in maintaining overall cardiovascular well-being. Challenges regarding
the therapeutic application of GDF15, such as long-term safety concerns and ongoing clinical investigations,
are discussed. Lastly, future research directions exploring GDF15's potential in addressing obesity-related
complications and cardiovascular risks are proposed, highlighting its promising role as a therapeutic target
in reshaping treatment strategies for obesity and associated health conditions.
Gamma-tocotrienol Inhibits Proliferation and Growth of HSD17B4 Overexpressing HepG2 Liver Cancer Cells
Authors: Wang Xiaoming , Liang Xijia , Zhang Nan , Wang Yaqi , Hu Meng , Shi Yun , Yao Min , Hou Lianguo , Jiang Lingling
Published: June 2024

Introduction:

Hydroxysteroid 17-beta dehydrogenase 4 (HSD17B4) is involved in the
progression of hepatocellular carcinoma (HCC).

Aims:

This study aimed to investigate the inhibitory effect of gamma-tocotrienol (γ-T3) on the proliferation
and growth of HSD17B4-overexpressing HepG2 cells.

Methods:

HepG2 cells were transfected with empty or HSD17B4-overexpressing plasmids, followed
by vitamin E (VE) or γ-T3 treatment. MTS assay, Western blotting, qRT-PCR, and flow cytometry
were employed to assess cell proliferation, protein expression, mRNA levels, and apoptosis.
HSD17B4 interaction with γ-T3 was assessed by quantifying γ-T3 in the collected precipitate
of HSD17B4 using anti-flag magnetic beads. Tumor xenografts were established in NSG mice,
and tumor growth was monitored.

Results:

HSD17B4 overexpression significantly promoted HepG2 cell proliferation, which was effectively
counteracted by VE or γ-T3 treatment in a dose-dependent manner. VE and γ-T3 did not
exert their effects through direct regulation of HSD17B4 expression. Instead, γ-T3 was found to interact
with HSD17B4, inhibiting its activity in catalyzing the conversion of estradiol (E2) into estrone.
Moreover, γ-T3 treatment led to a reduction in cyclin D1 expression and suppressed key proliferation
signaling pathways, such as ERK, MEK, AKT, and STAT3. Additionally, γ-T3 promoted
apoptosis in HSD17B4-overexpressing HepG2 cells. In an in vivo model, γ-T3 effectively reduced
the growth of HepG2 xenograft tumors.

Conclusion:

In conclusion, our study demonstrates that γ-T3 exhibits potent anti-proliferative and
anti-tumor effects against HepG2 cells overexpressing HSD17B4. These findings highlight the
therapeutic potential of γ-T3 in HCC treatment and suggest its role in targeting HSD17B4-associated
pathways to inhibit tumor growth and enhance apoptosis.
The Therapeutic Potential of Targeting the Connexin43 as a New Approach to Reducing Post-surgical Adhesion
Authors: Moslem Alireza , Khodashahi Rozita , Ferns Gordon A. , Aliakbarian Mohsen , Arjmand Mohammad-Hassan
Published: June 2024

:

Post-surgical peritoneal adhesions are a serious problem causing complications, such as bowel obstruction, infertility, and pain. There are currently
no effective ways of preventing post-surgical adhesions. Excess secretion of proinflammatory cytokines and profibrotic molecules by immune cells
and adherent fibroblasts are the main mechanism that promotes post-operative fibrotic scars. Although many studies have been conducted on the
pathological causes of this disorder, there are still many unknown facts in this matter, so assessment of the role of different molecules in causing
inflammation and adhesion can lead to the creation of new treatment methods. Connexins are a group of proteins related to gap junctions that have
a role in cell communication and transmitted signaling between adjacent cells. Between different types of connexin protein isoforms, connexin43 is
known to be involved in pathological conditions related to inflammation and fibrosis. Recent studies have reported that inhibition of connexin43
has the potential to reduce inflammation and fibrosis by reducing the expression of molecules like α-SMA and plasminogen activator inhibitor
(PAI) that are involved in the early stages of adhesion formation. As well as, inhibition of connexin43 may have therapeutic potential as a target to
prevent post-surgical peritoneal adhesions.
High-accuracy models for iris recognition with merging features
Authors:   Department of Computer Science, College of Education for Pure Science/Ibn Al-Haitham, University of Baghdad, Baghdad, Iraq, Al-Dabbas Hind Moutaz , Azeez Raghad Abdulaali ,   Information Technology Unit, College of Education for Human Science-Ibn-Rushed, University of Baghdad, Baghdad, Iraq, Ali Akbas Ezaldeen ,   Department of Computer Science, University of Technology, Baghdad, Iraq
Published: June 2024

Due to advancements in computer science and technology, impersonation has become more common. Today, biometrics technology is widely used in various aspects of people's lives. Iris recognition, known for its high accuracy and speed, is a significant and challenging field of study. As a result, iris recognition technology and biometric systems are utilized for security in numerous applications, including human-computer interaction and surveillance systems. It is crucial to develop advanced models to combat impersonation crimes. This study proposes sophisticated artificial intelligence models with high accuracy and speed to eliminate these crimes. The models use linear discriminant analysis (LDA) for feature extraction and mutual information (MI), along with analysis of variance (ANOVA) for feature selection. Two iris classification systems were developed: one using LDA as an input for the OneR machine learning algorithm and another innovative hybrid model based on a One Dimensional Convolutional Neural Network (HM-1DCNN). The MMU database was employed, achieving a performance measure of 94.387% accuracy for the OneR model. Additionally, the HM-1DCNN model achieved 99.9% accuracy by integrating LDA with MI and ANOVA. Comparisons with previous studies show that the HM-1DCNN model performs exceptionally well, with at least 1.69% higher accuracy and lower processing time.
Gamification in Mobile Apps for Children With Disabilities: Scoping Review
Authors: Mahmoudi Ebrahim , Yejong Yoo Paul , Chandra Ananya , Cardoso Roberta , Denner Dos Santos Carlos , Majnemer Annette , Shikako Keiko
Published: June 2024

Background

Children with disabilities face numerous challenges in accessing health services. Mobile health is an emerging field that could significantly reduce health inequities by providing more accessible services. Many mobile apps incorporate gamification elements such as feedback, points, and stories to increase engagement and motivation; however, little is known about how gamification has been incorporated in mobile apps for children with disabilities.

Objective

This scoping review aims to identify and synthesize the existing research evidence on the use of gamification in mobile apps for children with disabilities. Specifically, the objectives were to (1) identify the categories of these mobile apps (eg, treatment and educational) (2), describe the health-related outcomes they target, (3) assess the types and levels of gamification elements used within these apps, and (4) determine the reasons for incorporating gamification elements into mobile apps.

Methods

We searched MEDLINE, PsycINFO, CINAHL, Embase, the ACM Digital Library, and IEEE Xplore databases to identify papers published between 2008 and 2023. Original empirical research studies reporting on gamified mobile apps for children with disabilities that implemented at least 1 gamification strategy or tactic were included. Studies investigating serious games or full-fledged games were excluded.

Results

A total of 38 studies reporting on 32 unique gamified mobile apps were included. Findings showed that gamified apps focus on communication skills and oral health in children with autism spectrum disorder while also addressing self-management and academic skills for other disability groups. Gamified mobile apps have demonstrated potential benefits across different populations and conditions; however, there were mixed results regarding their impact. The gamification strategies included fun and playfulness (23/32, 72%), feedback on performance (17/32, 53%), and reinforcement (17/32, 53%) in more than half of apps, whereas social connectivity was used as a gamification strategy in only 4 (12%) mobile apps. There were 2 main reasons for integrating gamification elements into mobile apps described in 16 (42%) studies: increasing user engagement and motivation and enhancing intervention effects.

Conclusions

This scoping review offers researchers a comprehensive review of the gamification elements currently used in mobile apps for the purposes of treatment, education, symptom management, and assessment for children with disabilities. In addition, it indicates that studies on certain disability groups and examinations of health-related outcomes have been neglected, highlighting the need for further investigations in these areas. Furthermore, research is needed to investigate the effectiveness of mobile-based gamification elements on health and health behavior outcomes, as well as the healthy development of children with disabilities.
The Digital Determinants of Health: A Guide for Competency Development in Digital Care Delivery for Health Professions Trainees
Authors: Lawrence Katharine , Levine Defne L
Published: June 2024

Health care delivery is undergoing an accelerated period of digital transformation, spurred in part by the COVID-19 pandemic and the use of “virtual-first” care delivery models such as telemedicine. Medical education has responded to this shift with calls for improved digital health training, but there is as yet no universal understanding of the needed competencies, domains, and best practices for teaching these skills. In this paper, we argue that a “digital determinants of health” (DDoH) framework for understanding the intersections of health outcomes, technology, and training is critical to the development of comprehensive digital health competencies in medical education. Much like current social determinants of health models, the DDoH framework can be integrated into undergraduate, graduate, and professional education to guide training interventions as well as competency development and evaluation. We provide possible approaches to integrating this framework into training programs and explore priorities for future research in digitally-competent medical education.
Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4
Authors: Lahat Adi , Sharif Kassem , Zoabi Narmin , Shneor Patt Yonatan , Sharif Yousra , Fisher Lior , Shani Uria , Arow Mohamad , Levin Roni , Klang Eyal
Published: June 2024

Background

Artificial intelligence, particularly chatbot systems, is becoming an instrumental tool in health care, aiding clinical decision-making and patient engagement.

Objective

This study aims to analyze the performance of ChatGPT-3.5 and ChatGPT-4 in addressing complex clinical and ethical dilemmas, and to illustrate their potential role in health care decision-making while comparing seniors’ and residents’ ratings, and specific question types.

Methods

A total of 4 specialized physicians formulated 176 real-world clinical questions. A total of 8 senior physicians and residents assessed responses from GPT-3.5 and GPT-4 on a 1-5 scale across 5 categories: accuracy, relevance, clarity, utility, and comprehensiveness. Evaluations were conducted within internal medicine, emergency medicine, and ethics. Comparisons were made globally, between seniors and residents, and across classifications.

Results

Both GPT models received high mean scores (4.4, SD 0.8 for GPT-4 and 4.1, SD 1.0 for GPT-3.5). GPT-4 outperformed GPT-3.5 across all rating dimensions, with seniors consistently rating responses higher than residents for both models. Specifically, seniors rated GPT-4 as more beneficial and complete (mean 4.6 vs 4.0 and 4.6 vs 4.1, respectively; P<.001), and GPT-3.5 similarly (mean 4.1 vs 3.7 and 3.9 vs 3.5, respectively; P<.001). Ethical queries received the highest ratings for both models, with mean scores reflecting consistency across accuracy and completeness criteria. Distinctions among question types were significant, particularly for the GPT-4 mean scores in completeness across emergency, internal, and ethical questions (4.2, SD 1.0; 4.3, SD 0.8; and 4.5, SD 0.7, respectively; P<.001), and for GPT-3.5’s accuracy, beneficial, and completeness dimensions.

Conclusions

ChatGPT’s potential to assist physicians with medical issues is promising, with prospects to enhance diagnostics, treatments, and ethics. While integration into clinical workflows may be valuable, it must complement, not replace, human expertise. Continued research is essential to ensure safe and effective implementation in clinical environments.
Integrating Social Determinants of Health in Machine Learning–Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study
Authors: Lee Seung-Yup , Hayes Leslie W , Ozaydin Bunyamin , Howard Steven , Garretson Alison M , Bradley Heather M , Land Andrew M , DeLaney Erin W , Pritchett Amy O , Furr Amanda L , Allgood Ashleigh , Wyatt Matthew C , Hall Allyson G , Banaszak-Holl Jane C
Published: June 2024

Background

The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes.

Objective

This study proposes the development of a data-driven decision-support system incorporating interactions between clinical factors and SDoH into an algorithm for prioritizing who receives case management services. The paper presents a design for prediction validation and preimplementation assessment that uses a mixed methods approach to guide the implementation of the system.

Methods

Our study setting is a large, tertiary care academic medical center in the Deep South of the United States, where SDoH contribute to disparities in diabetes-specific hospitalizations and emergency department (ED) visits. This project will develop an interpretable artificial intelligence model for a population with diabetes using SDoH and clinical data to identify which posthospitalization cases have a higher likelihood of subsequent ED use. The electronic health record data collected for the study include demographics, SDoH, comorbidities, hospitalization-related factors, laboratory test results, and medication use to predict posthospitalization ED visits. Subsequently, a mixed methods approach will be used to validate prediction outcomes and develop an implementation strategy from insights into patient outcomes from case managers, clinicians, and quality and patient safety experts.

Results

As of December 2023, we had abstracted data on 174,871 inpatient encounters between January 2018 and September 2023, involving 89,355 unique inpatients meeting inclusion criteria. Both clinical and SDoH data items were included for these patient encounters. In total, 85% of the inpatient visits (N=148,640) will be used for training (learning from the data) and the remaining 26,231 inpatient visits will be used for mixed-methods validation (testing).

Conclusions

By integrating a critical suite of SDoH with clinical data related to diabetes, the proposed data-driven risk stratification model can enable individualized risk estimation and inform health professionals (eg, case managers) about the risk of patients’ upcoming ED use. The prediction outcome could potentially automate case management referrals, helping to better prioritize services. By taking a mixed methods approach, we aim to align the model with the hospital’s specific quality and patient safety considerations for the quality of patient care and the optimization of case management resource allocation.

International Registered Report Identifier (IRRID)

DERR1-10.2196/56049
Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4 (Preprint)
Authors: Lahat Adi , Sharif Kassem , Zoabi Narmin , Shneor Patt Yonatan , Sharif Yousra , Fisher Lior , Shani Uria , Arow Mohamad , Levin Roni , Klang Eyal
Published: June 2024

BACKGROUND

Artificial intelligence, particularly chatbot systems, is becoming an instrumental tool in health care, aiding clinical decision-making and patient engagement.

OBJECTIVE

This study aims to analyze the performance of ChatGPT-3.5 and ChatGPT-4 in addressing complex clinical and ethical dilemmas, and to illustrate their potential role in health care decision-making while comparing seniors’ and residents’ ratings, and specific question types.

METHODS

A total of 4 specialized physicians formulated 176 real-world clinical questions. A total of 8 senior physicians and residents assessed responses from GPT-3.5 and GPT-4 on a 1-5 scale across 5 categories: accuracy, relevance, clarity, utility, and comprehensiveness. Evaluations were conducted within internal medicine, emergency medicine, and ethics. Comparisons were made globally, between seniors and residents, and across classifications.

RESULTS

Both GPT models received high mean scores (4.4, SD 0.8 for GPT-4 and 4.1, SD 1.0 for GPT-3.5). GPT-4 outperformed GPT-3.5 across all rating dimensions, with seniors consistently rating responses higher than residents for both models. Specifically, seniors rated GPT-4 as more beneficial and complete (mean 4.6 vs 4.0 and 4.6 vs 4.1, respectively; P<.001), and GPT-3.5 similarly (mean 4.1 vs 3.7 and 3.9 vs 3.5, respectively; P<.001). Ethical queries received the highest ratings for both models, with mean scores reflecting consistency across accuracy and completeness criteria. Distinctions among question types were significant, particularly for the GPT-4 mean scores in completeness across emergency, internal, and ethical questions (4.2, SD 1.0; 4.3, SD 0.8; and 4.5, SD 0.7, respectively; P<.001), and for GPT-3.5’s accuracy, beneficial, and completeness dimensions.

CONCLUSIONS

ChatGPT’s potential to assist physicians with medical issues is promising, with prospects to enhance diagnostics, treatments, and ethics. While integration into clinical workflows may be valuable, it must complement, not replace, human expertise. Continued research is essential to ensure safe and effective implementation in clinical environments.
Clinicians’ Perspectives on the Telehealth Serious Illness Care Program for Older Adults With Myeloid Malignancies: Single-Arm Pilot Study (Preprint)
Authors: LoCastro Marissa , Wang Ying , Yu Tristan , Mortaz-Hedjri Soroush , Mendler Jason , Norton Sally , Bernacki Rachelle , Carroll Thomas , Klepin Heidi , Wedow Lucy , Goonan Sean , Erdos Hannah , Bagnato Brenda , Liesveld Jane , Huselton Eric , Kluger Benzi , Loh Kah Poh
Published: June 2024

BACKGROUND

Serious illness conversations may help patients avoid unwanted treatments. We previously piloted the telehealth Serious Illness Care Program (SICP) for older adults with acute myeloid leukemia and myelodysplastic syndrome.

OBJECTIVE

In this study, we aimed to understand the experience of the telehealth SICP from the clinician’s perspective.

METHODS

We studied 10 clinicians who delivered the telehealth SICP to 20 older adults with acute myeloid leukemia or myelodysplastic syndrome. Quantitative outcomes included confidence and acceptability. Confidence was measured using a 22-item survey (range 1-7; a higher score is better). Acceptability was measured using an 11-item survey (5-point Likert scale). Hypothesis testing was performed at α=.10 (2-tailed) due to the pilot nature and small sample size. Clinicians participated in audio-recorded qualitative interviews at the end of the study to discuss their experience.

RESULTS

A total of 8 clinicians completed the confidence measure and 7 clinicians completed the acceptability measure. We found a statistically significant increase in overall confidence (mean increase of 0.5, SD 0.6; P=.03). The largest increase in confidence was in helping families with reconciliation and goodbye (mean 1.4, SD 1.5; P=.04). The majority of clinicians agreed that the format was simple (6/7, 86%) and easy to use (6/7, 86%). Clinicians felt that the telehealth SICP was effective in understanding their patients’ values about end-of-life care (7/7, 100%). A total of three qualitative themes emerged: (1) the telehealth SICP deepened relationships and renewed trust; (2) each telehealth SICP visit felt unique and personal in a positive way; and (3) uninterrupted, unrushed time optimized the visit experience.

CONCLUSIONS

The telehealth SICP increased confidence in having serious illness conversations while deepening patient-clinician relationships.

CLINICALTRIAL

ClinicalTrials.gov NCT04745676; https://www.clinicaltrials.gov/study/NCT04745676
Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study (Preprint)
Authors: Hartch Christa , Dietrich Mary S , Lancaster B Jeanette , Mulvaney Shelagh A , Stolldorf Deonni P
Published: June 2024

BACKGROUND

Research supports the use of mobile phone apps to promote medication adherence, but the use of and satisfaction with these apps among medically underserved patients with chronic illnesses remain unclear.

OBJECTIVE

This study reports on the overall use of and satisfaction with a medication adherence app (Medisafe) in a medically underserved population.

METHODS

Medically underserved adults who received care for one or more chronic illnesses at a federally qualified health center (FQHC) were randomized to an intervention group in a larger randomized controlled trial and used the app for 1 month (n=30), after which they completed a web-based survey. Objective data on app usage were provided as secondary data by the app company.

RESULTS

The participants were very satisfied with the app, with all participants (30/30, 100%) somewhat or strongly agreeing that they would recommend the app to family and friends. Participants strongly agreed (28/30, 93%) that the reminders helped them remember to take their medications at the correct time each day, and they (28/30, 93%) found the app easy to use. Additional features accessed by some included educational features and the adherence report. Participants noted the helpfulness of having a medication list on their phones, and some used it during medication reconciliation at doctor visits. Use of the Medfriend feature, which alerts a social support person if a medication is missed, was low (n=2), but those who used it were very positive about the feature.

CONCLUSIONS

A commercially available medication adherence app was found to be useful by participants, and they were satisfied with the app and the additional features provided. The use of medication adherence mobile phone apps has the potential to positively influence chronic disease management in a medically underserved population on a large scale.

CLINICALTRIAL

ClinicalTrials.gov NCT05098743; https://clinicaltrials.gov/study/NCT05098743
Enhancing Physical Accessibility Education in Medical Schools: Bridging the Gap for Inclusive Healthcare (Preprint)
Authors: Quon Stephanie , Zhou Sarah
Published: June 2024

UNSTRUCTURED

The integration of disability education into medical school curricula has gained traction as a means to address healthcare disparities experienced by people with disabilities. However, current educational frameworks often neglect the critical aspect of physical accessibility in medical education spaces. This viewpoint explores the distinct need for enhanced education on physical accessibility—such as the implementation of ramps, automatic doors, and Braille signs—in medical schools. Drawing from existing literature, we highlight the gaps in current disability education, emphasizing the minimal focus on accessibility and its implications. By examining studies and recommendations from recent research, the viewpoint advocates for integrating accessibility education into medical training to empower future physicians in fostering inclusive healthcare environments. Recommendations are proposed to bridge educational gaps effectively, promoting a more holistic approach to disability education in medical schools.
The Characteristics, Harm and Anti-monopoly Measures of Digital Enterprise Monopolistic Behavior in Digital Economy: A Case Study of Amazon
Authors: Liu Hongfu
Published: June 2024

With the wave of artificial intelligence, blockchain, cloud computing, big data and other digital technologies becoming new general technologies, digital enterprises present new characteristics of industrial organization: non-contest-ability of information products, zero marginal cost of information, digital market can be absent online, and big data can replace material materials as key inputs. These new characteristics lead to some new types of monopolistic behaviors in digital enterprises. This paper selects the self-preferential behavior for detailed analysis, and takes the well-known digital enterprise Amazon platform as an example: (1) summarizes the foundation (development mode) of realizing self-preferential behavior; (2) the whole chain of self-preferential treatment behavior from pricing, product selection, procurement, after-sales and inventory; (3) It points out four kinds of behaviors that are harmful to competition, such as weakening competitors' advantages, increasing competitors' costs, reducing innovation motivation and damaging consumers' welfare. Finally, this paper provides a reference for the monopoly identification of this behavior from three aspects: expanding the identification of digital economy market, refining the standards for identifying dominant market position, and carefully identifying the abuse of dominant market position by self-preferential treatment, and further puts forward regulatory suggestions.
On foot, by boat: Distribution methods of raw materials suitable for lithics in Central Europe in c. 4900-3400 BCE
Authors: Trampota František , Přichystal Antonín
Published: June 2024

Thanks to long-term efforts to identify the stone raw materials of Neolithic lithics, a dataset of the proportional raw material composition at Neolithic settlements for the eastern part of Bohemia and the Morava River Basin in Central Europe has been created, which can be analysed in the period c. 4900-3400 BCE The focus of this study is on four issues: (1) the chronological evolution of the mode of distribution of the raw materials of lithics and its relation to settlement dynamics; (2) the relationship between the rate of imported raw materials and settlement density; (3) the importance of navigable rivers for the long-distance transport of raw materials; and (4) a comparison of the spatial distribution of stone raw materials and ‘archaeological cultures’. In terms of chronological variations in distributional structures, it is clear that population size was an important factor affecting extra-regional distribution, particularly when compared with settlement numbers and radiocarbon density. In contrast, settlement density was not a determinant of the occurrence of imported raw materials. Navigable rivers are an important factor in the transport of goods, which is represented in the archaeological record by stone raw materials. The most evident relationship between imported raw materials and navigable rivers is in c. 4800-4500 BCE. At the end of the period under study, the construction of fortified hillforts is a significant social phenomenon, which, despite the problematic find circumstances of lithics, suggests a change in the distribution pattern. The presence of archaeological cultures (ceramic style) cannot be an explanatory factor for the changes in the distribution of stone raw materials, as the changes in internal and extra-regional distribution are not related to its changes.
Report: Peering into the Prehistoric Past of Bandhavgarh National Park, central India
Authors: Srinivas Akash , Lahiri Nayanjot
Published: June 2024

This paper reports on recent discoveries of prehistoric findspots inside and around the Bandhavgarh National Park and Tiger Reserve (Madhya Pradesh, central India). These discoveries dramatically push the antiquity of a human presence in this region back from their known existence during the historic period into the prehistoric epoch. This also means that it was prehistoric people who were the first forest dwellers of the national park. The lithic scatters are marked by a variety of microlithic forms, with a strong possibility of an older, Upper Palaeolithic presence. The localities are several and are spread over about sixty square kilometres, within the core and buffer zones of the national park, some of them being close to different stretches of the Charanganga river. They suggest a prolonged hominin presence here, in time and space. One of these areas in particular, the Jwalamukhi Ashram site-complex (JMP) with multiple localities that have yielded early remains, holds immense potential for understanding the nature of prehistoric occupation in this region, their possible dates and their palaeoenvironmental contexts. Further, discoveries within the core region of the national park point to a deeper, and possibly different, relationship between prehistoric human populations in the forest, in relation to the known historical archaeological record in this region. Future work at the region will delve into characterising the nature of prehistoric occupation in the region through a study of the lithic assemblages noted and palaeoenvironmental reconstruction on the basis of the study of various environmental proxies.
AI in the Public Eye
Authors: Hemment Drew , Currie Morgan , Bennett SJ , Elwes Jake , Ridler Anna , Sinders Caroline , Vidmar Matjaz , Hill Robin , Warner Holly
Published: June 2024

A taster summary of our FAccT 2023 paper in Chicago.
Strategies developed within the critical art community – before and since the arrival of powerful new generative AI tools such as ChatGPT and Midjourney – can help to enrich the public conversation on AI and equip practitioners to respond to the fast paced developments in the field.
Advancements and Methodologies in Natural Language Processing and Machine Learning: A Comprehensive Review
Authors: Pritam Kumar
Published: June 2024

Abstract: This review explores notable advancements and methodologies in Natural Language Processing (NLP) and machine learning. Key innovations include convolutional neural networks capable of generating multiple language processing predictions and the Transformer-XL model, which enhances temporal coherence and dependency handling. The importance of logical reasoning and common sense in AI is emphasized, along with practical methods like web mining for building extensive knowledge repositories. The development of NLP tools for specific languages, such as Gujarati, and the utilization of BERT for bidirectional training are discussed, showcasing significant performance improvements across multiple tasks. Sentiment analysis is highlighted as a crucial tool for interpreting unstructured data from social media, achieving high accuracy through rule-based approaches and feature extraction methods. The role of social media in disseminating emotionally charged content and its impact on user behavior is examined, providing valuable insights for businesses to enhance marketing strategies. Additionally, the review addresses the challenge of early risk detection on social media platforms, emphasizing the need for effective preprocessing techniques to handle diverse and unstructured content. The integration of deep learning techniques in sentiment analysis is shown to offer competitive advantages, revealing consumer preferences and product trends.
The Matrix Ring Homomorphisms are Applicable to Skewed Generalized Composite Series Rings
Authors: Begam Sahera
Published: June 2024

Let (ܴ1[[ܵ1, ≤1, ߱1]]) and ܯ݊)ܴ2]]ܵ2,≥ 2, ߱2 ([[be a matrix rings over skew generalized power series rings, where ܴ1, ܴ2 are commutative rings with an identity element, (ܵ1, ≤1), (ܵ2, ≤2) are strictly ordered monoids, ߱1: ܵ1 → ܧ݊݀)ܴ1(, ߱2: ܵ2 → ܧ݊݀)ܴ2 (are monoid homomorphisms. In this research, we define a mapping ݎ from (ܴ1[[ܵ1, ≤1, ߱1]]) to ܯ݊)ܴ2]]ܵ2,≥ 2, ߱2 ([[by using a strictly ordered monoid homomorphism ߜ:) ܵ1,≥ 1) → (ܵ2,≥ 2(, and ring homomorphisms ߤ: ܴ1 → ܴ2 and ߪ: ܴ1]]ܵ1,≥ 1, ߱1 → [[ܴ2]]ܵ2,≥ 2, ߱2[[. Furthermore, we prove that ݎ is a ring homomorphism, and also we give the sufficient conditions for ݎ to be a monomorphism, epimorphism, and isomorphism.
A Systematic Review of the Rise of DDoS Attacks as a Service (DDoSaaS)
Authors: Pathan Afra
Published: June 2024

Abstract: The emergence of DDoS-as-a-Service (DDoSaaS) platforms has changed the landscape of cyber threats, leading to a substantial evolution in the propagation of Distributed Denial of Service (DDoS) assaults. In order to better understand the emergence of DDoSaaS, this systematic review looks at its evolution, working processes, and driving forces. We combine information from technical papers, peer-reviewed articles, and cybersecurity threat assessments that were released until now
A Study on Playful Work Design and Performance of Employees
Authors: Radhika M.
Published: June 2024

Abstract: The work environment profoundly impacts employee satisfaction and productivity. A positive environment fosters teamwork, innovation, and unity through open communication, respect, and growth opportunities. Conversely, a negative environment leads to stress, low morale, and reduced performance. Organizations must prioritize creating supportive, inclusive workplaces that value well-being and promote work-life balance. Playful work design, integrating fun and creativity, enhances engagement and happiness, using gamification and flexible spaces. Gamification, with rewards and challenges, boosts motivation and performance by satisfying our drive for achievement. Managing work stress in leadership involves supporting managers with resources, promoting balance, and training in stress reduction and leadership skills. Cultivating open communication and mental health support is essential for effective stress management
PHP Laravel - A Focus on Customization and Schedule Job Management
Authors: Duggirala Akhil
Published: June 2024

Abstract: The PHP-based web framework Laravel is a prominent option for developers who want to create safe and effective online apps. Its rich feature set reduces the need for substantial planning from the ground up and saves developers much time. Using Laravel, developers may easily combine different customized packages for their projects, which expedites the coding process and improves the app's logical structure. Laravel plays a crucial role in the need for secure web development. Because of its robust security features, Laravel stands out as the most prominent framework. The schedule jobs library is updated by the author highlighting the framework’s adaptability and flexibility for the project requirements.
On the Type I Half Logistic Lomax Distribution with applications
Authors: Sule Bashiru Omeiza
Published: June 2024

In this study, a new four-parameter lifetime distribution called the Topp Leone exponentiated Lomax distribution was introduced. Expansion of density for the probability distribution function and cumulative density function was done from which some of the properties of the new model were derived. Some mathematical properties of the distribution such as the moments, moment generating function, quantile function, survival function and hazard function were presented. The probability density function of the maximum and minimum order statistics was also derived and studied. Estimation of the parameters by maximum likelihood method was discussed and used to estimate the unknown parameters of the distribution. Four real life data sets were used to show the ﬁt and ﬂexibility of the new distribution over some existing lifetime distributions in literature and the results show that the new distribution ﬁts better in the four data sets considered.
Potencial de sequestro de dióxido de carbono em agroflorestas da Zona da Mata rondoniense
Authors: Camargo Kethin Kamilli Gobi , Santos Joicy Gabriely da Silva , Roos Valéria de Oliveira , Silva Thiago Cardoso , Mascarenhas Adriano Reis Prazeres , Araujo Emmanoella Costa Guaraná , Fiorelli Elaine Cosma , Sonsin Artur Falqueto , Maia Emanuel
Published: June 2024

Introdução: As alterações climáticas, resultado de emissões de gases de efeito estufa provocadas por atividades antrópicas, demandam ações de mitigação e adaptação. Dentre essas ações destaca-se o uso de sistemas agroflorestais (SAFs). Desta forma, o objetivo deste trabalho foi realizar o levantamento florístico de dois SAFs na região central de Rondônia. Além do mais foi realizada a estimativa da biomassa aérea e de palmeiras, o estoque de carbono na vegetação e o CO2 equivalente, por meio do uso de fatores de conversão. Metodologia: A pesquisa examinou dois SAFs de diferentes idades, para tanto, foi realizado o censo dos indivíduos e a mensuração das alturas e diâmetros à altura do peito (DAP). Posteriormente utilizou-se duas equações alométricos, uma para estimar a biomassa aérea de árvores e o outro de palmeiras. Os dados de biomassa foram convertidos para carbono e, em seguida, para CO2 equivalente, utilizando os fatores de conversão de 0,5 e 44/12, respectivamente. Todos os resultados foram extrapolados para um hectare. Resultados: No levantamento foram encontradas 659 espécies, relacionadas a 14 famílias botânicas com altura média de 10,55 m e DAP médio de 36 cm no SAF A e 17,52 m e 36 cm no SAF B. Entretanto, os maiores valores de biomassa foram encontrados no SAF A. Conclusão: O estoque de carbono nos sistemas não variou em função da maior quantidade de indivíduos, DAP e altura, mas sim em função da idade do sistema, no qual o mais antigo apresentou as maiores estimativas
Povos e biomas amazônicos: estudo a partir da produção científica coletada pelo Portal Oasisbr
Authors: Andrade Denise Aparecida Freitas de , Campos Fhillipe de Freitas , Sena Priscila Machado Borges , Dias Thiago Magela Rodrigues , Souza Marcel Garcia de , Carvalho Segundo Washington Luís Ribeiro de
Published: June 2024

Introdução: Neste trabalho se busca identificar a produção científica no Portal Oasisbr sobre povos e biomas amazônicos. Procedimentos Metodológicos: É caracterizado como exploratório e descritivo, a partir de uma abordagem quantitativa. Para a coleta se utilizou o Portal Oasisbr e o Diretório das revistas científicas eletrônicas brasileiras (Miguilim). Resultados: Dos 241 artigos coletados pelo Oasisbr 170 (70,54%) foram provenientes de 87 revistas científicas. Das instituições editoras, 4 estão localizadas na Região Norte, 3 no Centro-Oeste, 2 no Sul, 1 no Sudeste. Verifica-se crescimento significativo no número de publicações sobre a temática a partir de 2013, abrangendo diversos tipos de documentos, com destaque para as publicações oriundas de programas de pós-graduação stricto sensu (dissertações e teses) e para os artigos científicos. Conclusão: Denota-se uma maior predominância de produção científica da região Norte, tornando-se uma evidência pertinente para a especificação de produtos e serviços de informação mais coerentes às necessidades dessa região, bem como o desenvolvimento de políticas públicas que impulsionem a ciência aí realizada
O uso de ferramentas digitais na educação pós-pandemia: uma análise bibliométrica
Authors: Cruz Cleide Ane Barbosa da , Ecar Ariadne Lopes
Published: June 2024

A pesquisa tem como objetivo apresentar uma análise bibliométrica de publicações sobre o uso de ferramentas digitais na educação pós-pandemia de Covid-19. A metodologia corresponde a uma pesquisa exploratória quantitativa que realizou uma análise bibliométrica na base da Scopus utilizando as palavras-chave: digital tools and education and post-pandemic. Foram analisados também sete artigos com acesso aberto na base Scopus, que mostram que professores e alunos conseguiram se adaptar ao ensino remoto e ao uso das ferramentas digitais, porém ficou patente a necessidade de maior investimento por parte das instituições de ensino para que estas ferramentas possam ser melhor aproveitadas no ensino presencial. Dessa forma, entende-se a importância do uso da tecnologia na pandemia como vetor para aproximar o aluno a sala de aula, evidenciando a busca de treinamentos e de melhor infraestrutura nas escolas.
Concepções de Educação Infantil em imagens: docência performática e ativismo pedagógico no Facebook
Authors: Lira Aliandra Cristina Mesomo , Bahls Diego Paiva , Machado Leandra Souza
Published: June 2024

O objetivo do artigo é problematizar a intensificação da docência na Educação Infantil radicada num modelo performático, dedicado a divulgar via redes sociais atividades desenvolvidas com as crianças, ao que nomeamos de ativismo pedagógico. A pesquisa, de caráter quali-quantitativo, assume uma natureza bibliográfica, exploratória e documental, e debruça-se sobre a análise e descrição de um conjunto de imagens que representam práticas educativas veiculadas nas páginas oficiais do Facebook de quase ¼ do total de instituições de uma cidade de médio porte no estado do Paraná. Esse fenômeno, presente em nosso tempo, refere-se à necessidade de conceder demasiada visibilidade e comprovação das ações e práticas, as quais analisadas sob o viés crítico nos revelam as concepções que permeiam o trabalho pedagógico. Apontam, ainda, que as práticas invisibilizam e silenciam crianças e professores, que se tornam reféns do produtivismo que constrange os processos criativos e imaginativos tanto da docência quanto dos sujeitos infantis.
Adaptação curricular com comunicação alternativa no ensino remoto durante a pandemia por covid-19
Authors: Ralin Vera Lúcia de Oliveira , Souza Laila Bianca Menezes , Teixeira Clayne Mirelle Pereira
Published: June 2024

A Comunicação Alternativa é utilizada na educação especial para auxiliar na adaptação curricular de alunos com necessidades especiais. Este artigo descreve o uso da Comunicação Alternativa no processo de adaptação curricular de uma aluna autista durante o atendimento educacional especializado remoto durante a pandemia da Covid-19. A pesquisa, de abordagem qualitativa, utiliza a metodologia da pesquisa-ação colaborativa-crítica. Os participantes do estudo são duas professoras de atendimento educacional especializado, uma aluna autista de 8 anos matriculada no 3º ano do ensino fundamental regular e as pesquisadoras responsáveis. Foram realizadas 15 reuniões ao longo de 10 meses para compreender as necessidades educacionais da aluna, analisar o projeto educacional individualizado e planejar estratégias de atividades de comunicação alternativa. Foram desenvolvidas 5 estratégias e uma prancha de Comunicação Alternativa. Os resultados mostram a aquisição de conceitos curriculares, o surgimento da fala, a expansão da interação e a intenção comunicativa da aluna.