bluuebunny/crossref_metadata_2025 huggingface dataset:
Lapisan Pemahaman Matematis Pirie-Kieren dan Pencapaiannya Melalui Scaffolding: Studi Kasus Pemecahan Masalah Sistem Persamaan Linear Dua Variabel (SPLDV) Siswa SMP
Authors: Alaiya Syekha Vivi , Susiswo Susiswo , Darmawan Puguh
Published: November 2024

This research aims to uncover layers of students' mathematical understanding and provide scaffolding to achieve all layers of Pirie-Kieren's mathematical understanding. This study is qualitative research with a multiple case study design. The research subjects are categorized into three types: (1) S1A and S1B are students who write structured problem-solving steps and their answers are correct, (2) S2A and S2B are students who write structured problem-solving steps but make mistakes in some steps resulting incorrect answers, and (3) S3A and S3B are students who write unstructured problem-solving steps but their answers are correct. Two subjects are chosen from each category to generate saturated data. The results of this research indicate that (1) S1A and S1B experience folding back to the inner layers, then systematically reach all layers of mathematical understanding after scaffolding, (2) S2A and S2B reach certain outer layers of mathematical understanding after scaffolding, (3) S3A and S3B reach certain inner layers of mathematical understanding after scaffolding. This research found that each subject reaches all layers of Pirie-Kieren's mathematical understanding after scaffolding through three methods: (1) providing prompting questions, (2) providing problem-solving examples, and (3) providing constructive feedback on subject answers. The teacher’s understanding of students' Pirie-Kieren mathematical understanding layers can be used to improve learning.
Technological development and eco-efficiency: Drivers of total factor productivity in OECD countries
Authors: Morales-Piñero Juan , Morales-Piñero Jesús , Morales-Rubiano María
Published: November 2024

This study delves into the total factor productivity growth in OECD countries, focusing on the crucial role of technological advancement and environmental management. By utilizing the Malmquist-Luenberger index, the paper encompasses both positive and negative outputs, such as pollution, providing a comprehensive productivity analysis by breaking it down into efficiency and technical change. Data from 36 OECD countries from 2000 to 2021 were examined to uncover trends and patterns in productivity growth and its unintended environmental consequences. The results emphasize the dominant influence of technological progress, particularly after 2006, as the primary driver of productivity growth, surpassing improvements in technical efficiency. A significant increase in technical change (1.56 in 2021) compared to technical efficiency (1.05) underscores the importance of sustained investment in research and development (R&D), which correlates positively with patent generation and technological advancement. The study also illustrates that OECD countries have effectively integrated eco-efficient practices, aligning with global trends in environmentally conscious productivity analyses. By integrating environmental outputs such as PM2.5 pollution, the analysis demonstrates that countries mitigating these adverse effects achieve higher productivity growth. These findings challenge conventional productivity models, where productivity diminishes when environmental aspects are considered. The analysis emphasizes the necessity for tailored policy approaches to address disparities in R&D investments, technological adoption, and eco-efficiency among countries. Countries with more significant R&D investments consistently demonstrate superior technological advancement in patents (0.745). Policymakers are urged to prioritize long-term strategies that foster technological innovation and environmental sustainability to ensure sustained productivity growth and economic resilience.
Revisiting the linkage between entrepreneurial intention and behavior in a mediated model: Evidence from Vietnamese logistics industry students
Authors: Huy Hung Ta
Published: November 2024

Young entrepreneurs are crucial participants in a country’s entrepreneurial ecosystem. This study analyzes the effects of entrepreneurial motivation and perceived university support on the entrepreneurial intention and behavior of Vietnamese students. A survey was conducted with 831 students who are studying logistics and supply chain management programs. Smart PLS and the Sobel test were utilized to validate the proposed hypotheses. The results indicate that financial motivation has a positive impact on student’s entrepreneurial intention and entrepreneurial behavior. Conversely, the desire for autonomy motivation has a direct negative impact on entrepreneurial behavior. Furthermore, perceived university support exerts a strong direct influence on student’s entrepreneurial intention and entrepreneurial behavior. Notably, entrepreneurial intention partially mediates the relationship between entrepreneurial motivation and entrepreneurial behavior and the relationship between perceived university support and entrepreneurial behavior. The research implications suggest that policymakers should prioritize assessing students’ entrepreneurial motivations before implementing entrepreneurship training programs. Additionally, universities should provide appropriate entrepreneurial support to students throughout their entrepreneurial behavior and their entrepreneurial careers.
AcknowledgmentThis research is funded by the International School, Vietnam National University, Hanoi (VNU-IS) under project number CS.2023-12.
Multiple-objective control of stormwater basins using deep reinforcement learning
Authors: Song Zichun , Tian Wenchong , He Wei , Chu Shanpeng
Published: November 2024

Stormwater basins are important stormwater control measures which can reduce peak flow rate, mitigate flooding volume, and improve water quality during heavy rainfall events. Previous control strategies for stormwater basins have typically treated water quality and quantity as separate objectives. With the increasing urban runoff caused by climate change and urbanization, current single-objective control strategies cannot fully harness the control potential of basins and therefore require improvement. However, designing multi-objective control strategies for basins is challenging because of the conflicting operation goals and the complexity of the dynamic environmental conditions. This research proposes a novel real-time control strategy based on deep reinforcement learning to address these challenges. It employs a deep Q-network to develop an agent capable of making control decisions. After being trained on three different rainfall events, the reinforcement learning agent can make appropriate decisions for previously unseen rainfall events. Compared to the other two rule-based control scenarios and a static state scenario, the deep reinforcement learning method is more effective in terms of reducing total suspended solids, reducing peak flow, minimizing outflow flashiness, and controlling effort, striking a good balance between conflicting control objectives.
Application of geospatial and machine learning algorithms to predict (under certain limitations) the quality of groundwater used for irrigation purposes
Authors: Raheja Hemant , Goel Arun , Pal Mahesh
Published: November 2024

The main objective of the present study is to evaluate groundwater quality for irrigation purposes in the central-western part of Haryana state (India). For this, 272 groundwater samples were collected during the pre- and post-monsoon periods in 2022. Several indices, including SAR, PI, Na%, KR, magnesium adsorption ratio (MAR), and IWQI were derived. The results of SAR, Na%, and KR values indicate that the groundwater is generally suitable for irrigation. On the other hand, PI and MAR exceeded the established limits, primarily showing issues related to salinity and magnesium content in the groundwater. Furthermore, according to the IWQI classification, 47.06 and 25% of the total collected samples fell under the ‘severe restriction for irrigation’ category during the pre-monsoon and post-monsoon periods, respectively. Spatial variation maps indicate that water quality in the western portion of the study area is unsuitable for irrigation during both periods. Three ML algorithms, namely RF, SVM, and XGBoost were integrated and validated to predict the IWQI. The results revealed that the XGBoost with random search achieves the best prediction performances. The approaches established in this study have been confirmed to be cost-effective and feasible for groundwater quality, using hydrochemical parameters as input variables, and highly beneficial for water resource planning and management.
Chitosan-grafted Graphene Materials for Drug Delivery in Wound Healing
Authors: Hosseini Seyedeh Neda , Naghib Seyed Morteza , Kashani Ghazal Kadkhodaie , Mozafari M.R.
Published: November 2024

The effective and prompt treatment of wounds remains a significant challenge in clinical settings.
Consequently, recent investigations have led to the development of a novel wound dressing production designed
to expedite the process of wound healing with minimal adverse complications. Chitosan, identified as a
natural biopolymer, emerges as an appealing option for fabricating environmentally friendly dressings due to
its biologically degradable, nonpoisonous, and inherent antimicrobial properties. Concurrently, graphene oxide
has garnered attention from researchers as an economical, biocompatible material with non-toxic attributes for
applications in wound healing. Chitosan (CS) has been extensively studied in agglutination owing to its advantageous
properties, such as Non-toxicity biological compatibility, degradability, and facilitation of collagen
precipitation. Nonetheless, its limited Medium mechanical and antibacterial strength characteristics impede its
widespread clinical application. In addressing these shortcomings, numerous researchers have embraced nanotechnology,
specifically incorporating metal nanoparticles (MNPs), to enhance the mechanical power and targeted
germicide features of chitosan multistructures, yielding hopeful outcomes. Additionally, chitosan is a decreasing
factor for MNPs, contributing to reduced cytotoxicity. Consequently, the combination of CS with
MNPs manifests antibacterial function, superior mechanical power, and anti-inflammatory features, holding
significant potential to expedite wound healing. This study delves into based on chitosan graphene materials in
the context of wound healing.
Nano Revolution: Harnessing Nanoparticles to Combat Antibiotic-resistant Bacterial Infections
Authors: Vikal Akash , Maurya Rashmi , Patel Preeti , Kurmi Balak Das
Published: November 2024

Nanoparticles, defined as particles ranging from 1 to 100 nanometers in size, are revolutionizing the
approach to combating bacterial infections amid a backdrop of escalating antibiotic resistance. Bacterial infections
remain a formidable global health challenge, causing millions of deaths annually and encompassing a
spectrum from common illnesses like Strep throat to severe diseases such as tuberculosis and pneumonia. The
misuse of antibiotics has precipitated the rise of resistant strains like methicillin-resistant Staphylococcus aureus
(MRSA), multidrug-resistant Mycobacterium tuberculosis (MDR-TB), and carbapenem-resistant Enterobacteriaceae
(CRE), underscoring the critical need for innovative therapeutic strategies. Nanotechnology offers
a promising avenue in this crisis. Nanoparticles possess unique physical and chemical properties that
distinguish them from traditional antibiotics. Their high surface area to volume ratio, ability to be functionalized
with various molecules, and distinctive optical, electronic, and magnetic characteristics enable them to exert
potent antibacterial effects. Mechanisms include physical disruption of bacterial membranes, generation of
reactive oxygen species (ROS), and release of metal ions that disrupt bacterial metabolism. Moreover, nanoparticles
penetrate biofilms and bacterial cell walls more effectively than conventional antibiotics and can be precisely
targeted to minimize off-target effects. Crucially, nanoparticles mitigate the development of bacterial resistance
by leveraging multiple simultaneous mechanisms of action, which make it challenging for bacteria to
adapt through single genetic mutations. As research advances, nanotechnology holds immense promise in
transforming antibacterial treatments, offering effective solutions that address current infections and combat
antibiotic resistance globally. This review provides a comprehensive overview of nanoparticle applications in
antibacterial therapies, highlighting their mechanisms, advantages over antibiotics, and future directions in
healthcare innovation.
Molecular Targets and Nano-Technological Approaches in the Treatment of Hepatic Carcinoma
Authors: Satapathy Trilochan , Diwakar Maneesh Kumar
Published: November 2024

Liver cancer is a leading cause of cancer-related mortality, with about one million people losing their lives each year. The disease becomes even more dangerous when tumors cannot be removed through surgery. Globally, hepatocellular carcinoma (HCC) ranks third in terms of fatality rates among liver cancers. It is also the most frequent type of liver cancer. Due to the high mortality rate associated with this malignancy, it is a hotspot for researchers looking to improve treatment methods. Nanotechnology plays an important part in these at-tempts. Various types of nanoparticles (NPs) have been investigated for their ability to fight liver cancer. NPs are a vast class of materials. The article details the efforts made to include inorganic NPs, such as silver, gold, metal oxide, platinum, calcium, selenium, and other un-common materials into drug delivery systems (DDS) for therapeutic, carrier, or imaging pur-poses. This review discusses the function of carbon-based NPs in DDS for the treatment of liver cancer, including polymeric, polysaccharide, lipid, and carbon dot NPs, all of which have been extensively researched for this purpose. The purpose of this review is to provide a con-cise overview of recent developments in the field of HCC based on current research and clini-cal diagnosis and treatment guidelines. Further goals include elucidating the current state of nanomaterials research, its limitations, and the potential for future advancements in the field, as well as the use of nanotechnology in the detection and treatment of HCC.
Neutrophil Migration is a Crucial Factor in Wound Healing and the Pathogenesis of Diabetic Foot Ulcers: Insights into Pharmacological Interventions
Authors: Asunama Adhi Shree Raja , Nambi Nandhana , Radhakrishnan Leela , Prasad Murali Krishna , Ramkumar Kunka Mohanram
Published: November 2024

Diabetic foot ulcers (DFUs) pose a significant clinical challenge, characterized by impaired
wound healing, chronic inflammation, and increased risk of infection. Neutrophils, as critical
components of the innate immune response, play a pivotal role in the initial stages of wound
healing, particularly during the inflammatory phase. This review explores the intricate relationship
between neutrophil migration, inflammation, and the pathogenesis of DFU and drugs that can impact
neutrophil production and migration. Neutrophils contribute to infection control through phagocytosis
and release pro-inflammatory cytokines and reactive oxygen species, which, when dysregulated,
can impede the wound healing process. Furthermore, the chronic hyperglycemic state
characteristic of diabetes mellitus has been implicated in impairing neutrophil functions, including
chemotaxis and oxidative burst. This compromised neutrophil response prolongs the inflammatory
phase and disrupts the delicate balance required for efficient wound healing. Neutrophil extracellular
traps (NETs), a unique form of neutrophil defence, have also been implicated in DFU pathogenesis,
potentially exacerbating inflammation and tissue damage. Understanding the intricate interplay
between neutrophil migration, dysregulated inflammatory responses, and hyperglycemia-driven
impairments is essential for developing targeted therapeutic strategies for DFUs. This review
sheds light on the critical role of neutrophils in DFU pathogenesis, and innovative and advanced
treatment strategies for DFU, highlighting the potential for novel interventions to restore the balance
between pro-inflammatory and wound healing processes, ultimately improving clinical outcomes
for individuals with DFU.
Effective Classification of Citrus Medica L. Var. Sarcodactylis from Different Origins by ICP-MS
Authors: Xiang Shirong , Tian Runyu , Zhao Siyu , Zhang Xiaobin , Ni Maojun , Dai Guobiao , Fang Weizhen , Jiang Hezhong
Published: November 2024

Objective:

The use of microwave digestion coupled with inductively coupled plasma
mass spectrometry (ICP-MS) to measure the content of metal elements in Citrus Medica L. var. sarcodactylis
from different regions serves as a reference for tracing its origin and provides a basis for
quality control and safety assessment of its heavy metal content.

Methods:

After microwave digestion of Citrus Medica samples, metal element contents from different
regions were determined using ICP-MS, with methodological investigations conducted. A diverse
statistical analysis was performed to explore the relationship between geographical distribution
of Citrus Medica and metal element contents. Additionally, safety assessments were conducted using
single factor pollution index and Nemerow comprehensive pollution index methods for several heavy
metal elements.

Results:

The contents of elements such as Mg, Fe, and Al are relatively high in Citrus Medica.
Characteristic differences in elements like Al, Ni, Mg, Cr, Sr, and Zn among samples from different
regions are evident. Principal component analysis (PCA) indicates that samples from Sichuan Province
can be clustered by origin. Elements including Ni, Co, Al, As, Cu, and Fe may contribute significantly
to distinguishing Citrus Medica from different regions. Pollution assessments for several
heavy metals conclude that Citrus Medica samples are safe and clean.

Conclusion:

The ICP-MS method is rapid and accurate, capable of simultaneous measurement of
multiple metal elements in Citrus Medica. Combined with multivariate statistical analysis, it facilitates
origin tracing studies of Citrus Medica from various regions, particularly enabling effective
differentiation of those from Sichuan Province.
Mechanistic Overview on the Therapeutic Potential of Alkaloids in
Combating Non-small Cell Lung Carcinoma
Authors: Raju Mounika , Sirasanagandla Srinivasa Rao , Bouchareb Yassine , Woon Choy Ker , Veeraraghavan Vishnu Priya , Jayaraman Selvaraj
Published: November 2024

Non-Small Cell Lung Cancer (NSCLC) holds a significant position globally among cancer
types. Alkaloids, which are natural compounds containing nitrogen atoms, are found in various plant
sources and play a crucial role in anti-cancer activity, offering potential therapeutic applications.
They are classified by their chemical structure into categories such as indole alkaloids, isoquinoline
alkaloids, pyrrole and pyrrolizidine alkaloids, β-carboline and benzoquinolizidine alkaloids,
quinazoline alkaloids, and diterpene alkaloids. Alkaloid-based treatments offer several advantages in
drug design, including high bioavailability, lower toxicity, and effective therapeutic outcomes. Drugs
like vinca alkaloids, camptothecin, and sanguinarine demonstrate high efficacy against lung cancer
cells. Combination therapy involving alkaloids can prevent chemoresistance and exhibit high
potency against cancer cells. This review highlights the importance of alkaloids in combating
chemoresistance in lung cancer. The mechanisms by which alkaloids inhibit the EGFR/AKT/MAPK
signaling pathways and induce apoptosis are discussed in detail. In the future, alkaloid-based
therapeutics for NSCLC and other malignancies may be explored as advanced and effective
treatment options.
The Pulmonary Microbiota: Mediation of Lung Pathogenesis and a Possible Therapeutic Target in Patients with Asthma
Authors: Greer Spencer , Johnson Caleb , Work Parker , Vawryk Button Nadja , Karaduta Oleg
Published: November 2024

Traditional views of a sterile lung environment have been revised with the recognition of
a complex pulmonary microbiome. The interaction of this microbiota with host immune responses
plays a pivotal role in the pathogenesis of various respiratory diseases, including asthma. This review
aims to explore the impact of the pulmonary microbiota on asthma development and assess the
potential of probiotics as a therapeutic intervention. A mini-review was conducted in accordance
with JBI methodology, focusing on studies that compared asthmatic patients with controls in terms
of pulmonary microbiome composition. The primary sources were extracted and synthesized using
JBI SUMARI, emphasizing studies involving probiotic interventions. Significant differences in the
pulmonary microbiome between asthmatics and healthy individuals were noted, with dominant genera,
such as Haemophilus and Moraxella linked to inflammation and asthma severity. Importantly,
preliminary studies suggest that probiotics may influence these microbial communities, potentially
reducing inflammatory responses and improving asthma outcomes. The findings indicate a robust
link between the pulmonary microbiome and asthma pathogenesis, with probiotics offering a promising
avenue for modulating this interaction. The modulation of the lung microbiome through probiotics
could represent a novel therapeutic pathway, potentially decreasing asthma severity by restoring
microbial balance and enhancing immune homeostasis. This review underscores the critical role
of the pulmonary microbiome in asthma and highlights the innovative potential of probiotic treatments.
Future research should focus on clinical trials to verify the efficacy of probiotics in managing
asthma, aiming to establish a new paradigm in therapeutic strategies.
Örgütsel sinerji ölçeği: Ölçek geliştirme, geçerlik ve güvenirlik çalışması
Authors: Sezgin Nartgün Şenay , Taşkın Sevgi
Published: November 2024

Araştırmanın amacı örgütsel sinerjiyi ölçen geçerli ve güvenilir bir ölçme aracının geliştirilmesidir. Araştırma, Türkiye’nin farklı illerindeki ilkokul, ortaokul ve liselerde görevli öğretmenlerden oluşan üç farklı grupla yürütülmüştür. Ölçeğin yapı geçerliği için açımlayıcı faktör analizi (AFA) uygulanmış, faktör yüklerinin ,909-,524 arasında değiştiği, doğrulayıcı faktör analizi (DFA) sonucunda ise (x2/sd=4,12, RMSEA=.061, NFI=.90, IFI=.92, CFI=.92, RFI=.89, PNFI=.82, AGFI=,80, GFI=.89, SRMR=.06) modelin mükemmel ve kabul edilebilir düzeyde uyum indekslerine sahip olduğu görülmüştür. Cronbach’s alpha iç tutarlılık kat sayıları (α=.972-α=.792) ve madde-toplam korelasyonları (r=.87-.96) ile ölçeğin güvenilir olduğu belirlenmiştir. Örgütsel Sinerji Ölçeği 5’li Likert tipinde, ortak vizyon, süreç, inovasyon ve bütünleşme alt boyutları ve 30 madde ile son şeklini almıştır. Bolu ilinde görev yapan (N=787) öğretmenlerin örgütsel sinerjiye ilişkin betimsel analizi görüşleri toplam ölçek ve tüm boyutlarında “katılıyorum” düzeyinde olduğu görülmüştür. Araştırmada örgütsel sinerjinin eğitim örgütlerinde; değişen eğitsel koşullara karşı okulu başarıya ulaştırma, rakiplerine üstünlük sağlama ve mevcut örgüt yapısını geliştirmek için okulun örgütsel sinerji yönünde yapılandırılmasının gerekliliği ortaya konmuştur. Ayrıca sinerjik okul ikliminin, okul başarısında katma değer kazandırdığı, öğretmenler arasında güçlü bir anlayış geliştirerek, ortak değerler ve normlar etrafında bütünleştirici bir değişken olduğu vurgulanmaktadır. Bu açıdan hizmet içi eğitimlerde örgütsel sinerjinin, öğretmenleri etkileyebilme gücü sayesinde eğitsel prosedürler ve süreçler zincirlerini çok iyi uygulayabildikleri anlatılabilir.
What Drives The Diffusion of AI Recruitment Systems in Swiss HRM? The Importance of Technological Expertise, Innovative Climate, Competitive Pressure, Employees’ Expectations and Contextual Factors
Authors: Revillod Guillaume
Published: November 2024

This study examines organizational, environmental, and contextual factors influencing the diffusion of artificial intelligence recruitment systems in human resources management within Swiss organizations. Based on a survey provided to 324 private and public Swiss HR professionals, it explores how some technology-organization-environment theoretical framework predictors' as well as innovative climate provided by organizations influence the three stages – evaluation, adoption, and routinization ­– of diffusion of this innovation. To do this, the following article is based on a PLS-SEM structural equation model. Its main findings are that technological expertise, innovative climate, competitive pressure, and expectations regarding future use of the tool by organizations working in the same field are directly linked to the spread of this type of AI tool. However, public-sector organizations are more reluctant about using this type of tool. This aversion can, however, be moderated by an innovative climate and the fact that the HR function plays an active part in an organization's strategic direction. This said, this article makes a significant contribution to the literature about the diffusion of emerging technologies in organizations.
PENGARUH VARIASI KADAR PROTEIN TOTAL PAKAN BERBAHAN DASAR AMPAS TAHU, BEKATUL, DAN TEPUNG TERIGU TERHADAP PRODUKSI KOKON CACING TANAH (Eudrilus eugeniae)
Authors: Sari Yusi Novita , - Suhandoyo
Published: November 2024

Abstrak. Tujuan penelitian adalah untuk mengetahui produksi kokon cacing tanah Eudrilus eugeniae karena pemberian variasi kadar protein total pakan berbahan dasar ampas tahu, bekatul, dan tepung terigu. Objek penelitian yang digunakan adalah cacing afrika (Eudrilus eugeniae) yang telah memiliki klitelium dan dipelihara dalam media onggok aren dengan 4 perlakuan dan 5 ulangan, yaitu kadar protein total 13,79%, 14,65%, 15,51%, dan 16,37%. Biomassa awal cacing Afrika untuk setiap media adalah 16 gram. Penelitian dilakukan selama 2 bulan. Parameter dalam penelitian ini adalah jumlah, bobot, dan indeks kokon. Jumlah kokon dianalisis menggunakan uji ANOVA, sedangkan bobot dan indeks kokon dianalisis menggunakan Uji Korelasi. Hasil penelitian menunjukkan bahwa produksi kokon cacing tanah Eudrilus eugeniae dipengaruhi oleh perbedaan pemberian variasi kadar protein pakan berbahan dasar ampas tahu, bekatul, dan tepung terigu (p0,01). Uji Korelasi menunjukkan adanya hubungan yang erat antara bobot dan indeks kokon cacing tanah Eudrilus eugenaie dengan koefisien korelasi 0,713. Kata kunci: Eudrilus eugeniae, kokon, protein, indeks, bobot, produksi.
Using a participatory approach to design and test the efficacy of peer-led m-health intervention on improving sexual health literacy and behavior among Adolescent Girls and Young Women in higher learning institutions in Tanzania; A study protocol (Preprint)
Authors: Mwalukunga Lusajo Jason , Moshi Fabiola Vincent , Kibusi Stephen Matthew
Published: November 2024

BACKGROUND

Higher Learning Institutions host many adolescents and young adults, particularly first-year students aged 18 to 24, who face heightened risks of HIV/AIDS, STIs, unplanned pregnancies, and unsafe abortions due to limited sexual education, gender norms, and economic disparities. In Tanzania, risky sexual behavior is prevalent among young people, with adolescent girls disproportionately affected. Despite the availability of Sexual and Reproductive Health services, inconsistent provision and privacy concerns limit access.

OBJECTIVE

This study will aim to
(i) explore experiences of sexual and reproductive health

(ii) assess the efficacy of a peer-led m-Health intervention on improving knowledge of preventive Sexual and Reproductive Health information, attitudes toward SRH services, and safe sexual behavior among adolescent girls and young women in higher learning institutions.

METHODS

The study will utilize a mixed-method exploratory design. It will begin with a qualitative study aimed at exploring experiences related to sexual and reproductive health among adolescent girls and young women in higher learning institutions in Tanzania. Subsequently, followed by a quantitative study, which will be conducted to implement and evaluate the mHealth intervention. A controlled quasi-experimental design will be employed to assess the efficacy of the mHealth intervention among adolescent girls and young women in higher learning institutions.

RESULTS

Data collection will be conducted from December 2024 to January 2025, it will start with a qualitative phase by exploring the experiences of sexual and reproductive health among adolescent girls and young women in higher learning institutions; followed by a quantitative phase, where the efficacy of the m-Health intervention on improving sexual health literacy and behavior will be assessed. Data will then be analyzed, and the findings are expected to be published in April 2025.

CONCLUSIONS

Research indicates that adolescent girls and young women who are financially independent from their partners, along with those who have received sexual health education, tend to practice safe sex. Conversely, individuals exhibiting risky sexual behavior are noted to possess a positive attitude toward safe practices. Consequently, devising interventions informed by the viewpoints of young women can foster a sense of ownership among them, thus facilitating effective behavioral change.
Preference for Artificial Intelligence-based medication counseling services among young people in China: A Discrete Choice Experiment Study (Preprint)
Authors: Zhang Jia , Wang Jing , Zhang Jing Bo , Xia XiaoQian , Zhou ZiYun , Zhou XiaoMing , Wu YiBo
Published: November 2024

BACKGROUND

The younger generation has experience utilizing Artificial Intelligence (AI) for learning and working as it progressively permeates society. AI-based medication counseling services may help people take medications more accurately and reduce adverse events. However, it is not known which AI-based medication counseling service will be preferred by young people.

OBJECTIVE

This study aims to assess young people's preferences for AI-based medication counseling services.

METHODS

A discrete choice experiment (DCE) approach was the main analysis method applied in this study, involving six attributes: granularity, linguistic comprehensibility, symptom-specific results, access platforms, content model, and costs. A mixed logit model was employed to evaluate participants' preferences for AI-based medication counseling services, the relative importance (RI) of attributes, and their willingness to pay (WTP).

RESULTS

340 participants were included in the analysis of this study, generating 8160 DCE observations. The results demonstrate that participants exhibited a strong preference for receiving 100% symptom-specific results (β=3.18, 95%CI 2.54-3.81, P<.001). Regarding content modes, video was significantly favored over text (β=0.86, 95%CI 0.51-1.22, P<.001). Participants also showed a clear preference for linguistic comprehensibility that was easy to understand compared to the difficult alternatives (β=0.81, 95%CI 0.46-1.16, P<.001). When considering the granularity, refined content was preferred over the general information (β=0.51 95%CI 0.21-0.8, P<.001). Finally, participants exhibited a notable preference for accessing information through WeChat applets rather than websites (β=0.66, 95%CI 0.27-1.05, P<.001). In terms of RI, symptom-specific results (RI=36.99%) and cost (RI=30.24%) occupied the largest portion. Participants' WTP for AI-based medication counseling services from high to low were 100% of the results for symptom-specific results, easy-to-understand language, video content mode, WeChat applet access platform, and refined medication counseling. In which the WTP of participants for 100% symptomatic was 24.01 CNY (95%CI 20.16-28.77) which occupies the highest value among all levels.

CONCLUSIONS

This study conducted an in-depth investigation of the preference of young people for AI-based medication counseling services. Service providers should pay attention to the symptom-specific results, support more convenient access platforms, and optimize the language description, content models that add multiple digital media interactions, and more refined medication counseling to develop AI-based medication counseling services.

CLINICALTRIAL

Ethical approval for this study was obtained from Dongying People's Hospital, Approved No. of Ethics Committee: DYYX-2023-168
A Walk-Through Dementia: Understanding Alzheimer’s Disease or Related Dementia Through YouTube Virtual Reality Videos (Preprint)
Authors: Li Xiaoli , Liu Xiaoyu , yin Cheng , Collins Sandra , Alanazi Eman
Published: November 2024

BACKGROUND

Emerging research has highlighted the potential of Virtual Reality (VR) as a tool for training healthcare students and professionals in care skills for individuals with Alzheimer’s disease and related dementias (ADRD). However, there is limited research on the use of VR to engage the general public in raising awareness about ADRD.

OBJECTIVE

This research aimed to examine the impact of the VR video A Walk-Through Dementia on YouTube users by analyzing their posts.

METHODS

We collected 12,754 comments from the VR video A Walk-Through Dementia, which simulates the everyday challenges faced by individuals with ADRD, providing viewers with an immersive experience of the condition. Topic modeling was conducted to gauge viewer opinions and reactions to the videos. A pre-trained BERT model was used to transform the YouTube comments into high-dimensional vector embeddings, allowing for systematic identification and detailed analysis of the principal topics and their thematic structures within the dataset.

RESULTS

Our analysis identified five distinct topics. The predominant topic, represented in 2,917 comments, centered on users' personal experiences with the impact of ADRD on patients and caregivers. The remaining topics were categorized into four main areas: positive reactions to the VR videos, challenges faced by individuals with ADRD, the role of caregivers, and learning from the VR videos.

CONCLUSIONS

Using topic modeling, this study demonstrated that VR applications serve as engaging and experiential learning tools, offering the public a deeper understanding of life with ADRD. Future research should explore additional VR applications on social media, as they hold the potential to reach wider audiences and effectively disseminate knowledge about ADRD.

CLINICALTRIAL

NONE
Assessing the Readability and Quality of Web-Based Resources on Exercise Stress Testing: A Cross-Sectional Readability and Quality Analysis (Preprint)
Authors: Rahbe Munir , Mistry Dhrumi , Khawaja Ali M , Sous Natalie A , Tso Alan Y
Published: November 2024

BACKGROUND

Health literacy is a crucial determinant and independent predictor of patient outcomes. To enhance patient understanding across diverse populations, the American Medical Association (AMA) advises that health information be written at a 6th-grade reading level. The exercise stress test is a widely used diagnostic tool, frequently ordered in outpatient settings to assess cardiovascular health. Although numerous studies have evaluated the readability of various cardiovascular health topics, there is a noticeable gap in the literature regarding the readability and quality of health information pertaining to exercise stress tests.

OBJECTIVE

The goal of this study was to evaluate the readability and quality of publicly available information regarding exercise stress tests on the Google and Bing search engines.

METHODS

Four search terms were entered into both the Google and Bing search engines, and websites containing information pertaining to exercise stress tests were assessed for their readability and quality. Web pages were classified as “academic” or “non-academic” based on whether the publishing website was affiliated with an academic institution. Readability was assessed using the Flesch-Kincade Grade Level (FKGL) and Flesch Reading Ease (FRE) scores, while quality was assessed using the DISCERN criteria. The resulting scores were calculated, and independent sample t-tests were performed to compare the individual scores of the academic and non-academic sources.

RESULTS

This study assessed 18 websites in total, and the mean grade level (mean ± SD, 8.36 ± 1.32) and reading ease (62.31 ± 6.65) exceeded the current AMA recommendations. Furthermore, the quality of the web pages was determined to be “fair” as per the DISCERN grading criteria. Academic sources had greater FKGL and FRE scores that were additionally found to be statistically significant in comparison to the scores of the non-academic sources with p-values of 0.032, and 0.006, respectively.

CONCLUSIONS

Websites containing information pertaining to exercise stress tests are written at a grade level that exceeds current recommendations, with academic sources being significantly more difficult to read when compared to non-academic sources. The quality of the web pages evaluated in this study was deemed to be fair. However, quality can be improved by including references to sources as well as additional resources for readers seeking more information. Improving readability can be challenging as medical terminology is often intrinsically complex. While substituting or omitting these terms may improve readability, it risks delivering incomplete or oversimplified information to patients.
School District Housing Buyers and Educational Investment Returns: A Case Study of X District in Shanghai
Authors: Zhang Lei
Published: November 2024

As a dual carrier of educational resources and economic assets, school district housing has become an important tool for family educational investment and social class reproduction. This paper takes Shanghai's X District as an example to explore, from a sociological perspective, the purchasing behaviors of different groups regarding school district housing and their educational investment returns. It reveals the key role of school district housing in the accumulation of cultural and social capital. The study finds that high-income families, the middle class, and the working class in X District exhibit different demand tendencies when purchasing school district housing, reflecting goals of obtaining high-quality educational resources, expanding social capital, and achieving upward social mobility, respectively. The phenomenon of school district housing exacerbates the imbalance in the distribution of educational resources and limits social mobility.
Future Orientation Predicts BYOB (Bring Your Own Shopping Bags) Behavior Intention: The Mediation Effects of Perceived Importance and Ethical Judgement
Authors: Jiang Tao
Published: November 2024

More and more environmental pollution problems make sustainability development and green behavior receive an increasing amount of attention. Green behaviors are often characterized by sacrificing immediate costs to achieve future benefits. We studied on the relationship between time orientation and one of the typical and universal green behavior: bring your own shopping bags (BYOB). Both a unidimensional Consideration of Future Consequences Scale (CFCS) and a two factors CFCS (immediate orientation (CFC-Immediate) and future orientation(CFC-Future)) were used to measure time orientation. We found that future orientation (CFC-Future) could positively predict BYOB intention, but immediate orientation(CFC-Immediate) and future time orientation measured by unidimensional CFCS show no significant effect on BYOB intention. Also perceived importance of BYOB, ethical judgement of BYOB both have positive effects on BYOB intention. Moreover, the empirical result showed that perceived importance played a partial mediation role between future orientation(CFC-Future) and BYOB intention, ethical judgement played a partial mediation role between perceived importance and BYOB intention. A fuzzy-set qualitative comparative analysis (fsQCA) showed the combination of future orientation, perceived importance and ethical judgement played significant role in BYOB intention. In theoretical contribution, we underline the mechanism of future orientation(CFC-Future) on BYOB intention, and from the ethical concept of BYOB, we also found other antecedent for ethical judgement and behavior intention: perceived importance of the ethical issue. In practical implication, we can manipulate consumers’ future orientation and perceived importance of BYOB and to increase BYOB behavior in the real life.
Adaptive Transformer-Based Multi-Modal Image Fusion for Real-Time Medical Diagnosis and Object Detection
Authors: R. Dineshkumar  , A. Ameelia Roseline  , Tatiraju V. Rajani Kanth  , J. Nirmaladevi  , G. Ravi
Published: November 2024

In recent years, medical diagnosis and object detection have been significantly enhanced by the integration of multi-modal image fusion techniques. This study proposes an Adaptive Transformer-Based Multi-Modal Image Fusion (AT-MMIF) framework designed for real-time medical diagnosis and object detection. The framework employs a Transformer architecture to capture both global and local feature correlations across multiple imaging modalities, including MRI, CT, PET, and X-ray, for more accurate diagnostic results and faster object detection in medical imagery. The fusion process incorporates spatial and frequency-domain information to improve the clarity and detail of the output images, enhancing diagnostic accuracy. The adaptive attention mechanism within the Transformer dynamically adjusts to the relevant features of different image types, optimizing fusion in real time. This leads to an improved sensitivity (98.5%) and specificity (96.7%) in medical diagnosis. Additionally, the model significantly reduces false positives and negatives, with an F1 score of 97.2% in object detection tasks. The AT-MMIF framework is further optimized for real-time processing with an average inference time of 120 ms per image and a model size reduction of 35% compared to existing multi-modal fusion models. By leveraging the strengths of Transformer architectures and adaptive learning, the proposed framework offers a highly efficient and scalable solution for real-time medical diagnosis and object detection in various clinical settings, including radiology, oncology, and pathology.
Comparative bibliometric analysis of leading Open Access journals: a focus on Chinese and non-Chinese journals in science, technology, and medicine
Authors: Lei Fang , Du Liang , Dong Min , (Corresponding Author) Xuemei Liu
Published: November 2024

The objective of this study was to examine the scientific performance and internationalization of leading Chinese Open Access (OA) journals in the fields of science, technology, and medicine, specifically those published in English (referred to Chinese journals hereafter). Based on data taken from the Clarivate Analytics and Directory of Open Access Journals (DOAJ), a comparative bibliometric analysis was carried out. Fourteen Chinese journals were sampled, and a total of 22 non-Chinese OA journals were chosen for comparison. The analysis revealed that the majority of the journals were collaboratively published with large international publishers. While Chinese journals demonstrated a steady increase in publication productivity from 2018 to 2020, it remained noticeably lower than that of international journals. Additionally, Chinese journals received fewer citations from highly ranked journals, as evidenced by the three-fold higher Eigenfactor score observed in international journals compared to Chinese journals. Chinese journals exhibited a higher percentage of domestic manuscripts than international journals, as reflected in their elevated Index of National Orientation (INO) values. This study contributes to a better understanding of the scientific performance and internationalization of Chinese journals in the global publishing landscape, while also identifying potential areas for improvement.
Evolution of strategic issues: a 20-year analysis of public library planning in South Korea
Authors: Lee Hye-Eun , Jeon Kyungsun , (Corresponding Author) Jisu Lee
Published: November 2024

This study delves into the strategic issues faced by public libraries in South Korea spanning the period from 2003 to 2022. An extensive examination of 176 strategic planning documents from 17 local governments resulted in the selection and analysis of 75 documents using a strategic planning analysis model. The findings reveal that issues such as staff/training, collaboration/networks, information literacy, digital libraries, physical space, and collection emerged as major concerns in the strategic planning of public libraries in Korea. An analysis of the top issues' distribution over five-year intervals showed that staff/training issues consistently held a high rank over the 20-year period, underscoring their enduring strategic importance. Conversely, collection-related issues started with a low rank between 2003 and 2007 but consistently rose in significance from 2008 to 2022, becoming crucial strategic considerations for public libraries. Notably, these trends align closely with the direction set by the Comprehensive Library Advancement Plan at the national level for each period. The study underscores how the national-level development plan for libraries significantly influences the detailed strategic planning directions of local public libraries.
Cultivating Open Science: a quantitative exploration of leadership practices in Malaysian academic libraries
Authors: Zainal Hazmir , (Corresponding Author) Siti Wahida Amanullah , Ibrahim Shamsudin , Abdullah Hendon
Published: November 2024

This paper explores the characteristics of open leadership to support academic library leaders in promoting open science. It also aims to identify the existing leadership practices related to the implementation of open science from the viewpoint of Malaysian academic library leaders. The research employs a quantitative approach, utilizing online surveys distributed among 50 leaders from Malaysian public and private academic libraries. The study is anchored in the Open Leadership Framework, encompassing three key practices: design (contextualization), build (structure and system creation), and empower (personal leadership skills). Open leadership, viewed as a response to technological advancements and the use of multimedia communication tools, is framed within the principles, practices, and skills that communities can leverage to achieve shared goals. The findings from the design principle indicate unanimous agreement among respondents on the importance of collaboration, both internally and externally, for the success of the open science agenda, aligning with the principles of community interactions. In the build principle, all respondents share the belief that libraries should implement training and competence development programs, aligning with mentoring principles. This adherence corresponds to the principles of commons-based production, emphasizing the encouragement of publication in open-access journals, and project management, highlighting the pivotal role of libraries in determining the university's open data repository. In the empowerment principle, a total response of 61.5 percent under the "makes connection" principle, emphasizes the need for collaboration between the library, the university's Information Technology Center, and the Research Management Center to provide researcher profiles. This study not only provides insights into the current landscape of open leadership practices among Malaysian academic library leaders but also offers valuable implications for fostering collaboration, training initiatives, and empowerment strategies in the realm of open science. By understanding and embracing these principles, academic institutions and libraries can navigate the evolving scholarly environment, effectively contributing to the advancement of open science practices.