bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon nanotube fibers provide no measurement contribution when monitoring CNT/epoxy nanocomposites
Authors: Shadrov Sergei P. , Butt Hassaan A. , Vildanova Aliya R. , Agafonova Ekaterina E. , Dmitrieva Veronika A. , Kondrashov Vladislav A. , Yan Yaotian , Qi Junlei , Wang Zeyu , Krasnikov Dmitry V. , Nasibulin Albert G. 
Published: December 2024

Abstract

Carbon nanotube fibers (CNTFs) have recently been shown to be an advanced solution for the monitoring of polymer nanocomposites, addressing both manufacturing and post-manufacturing stages with single step inclusion. However, their structure is inherently susceptible to a number of influences, such as the adsorption of chemicals, matrix shrinkage, and temperature variations, which can introduce measurement errors. Investigating and quantifying the contribution of such factors on the accuracy of CNTF measurements when assessing the properties of multifunctional nanocomposites is vital for their successful application. Here, the wet-pulling of single-walled carbon nanotube (SWCNT) thin films of various thicknesses (18, 39, and 59 nm) was employed for creating CNTFs. They were embedded within nanocomposites containing single- and multiwalled carbon nanotubes dispersed in epoxy at concentrations of 0.005 and 0.5 wt. %. The inherent change of CNTF properties was compared with the measured changes of the nanocomposites to determine inaccuracy caused by these, and the findings indicate a negligible influence. When measuring nanocomposites with multiwalled CNTs with concentrations of 0.005 and 0.5 wt.%, CNTFs caused less than 10− 6% inaccuracy. When measuring SWCNT-based composites, the inaccuracy caused was less than 10− 1%. Due to contact resistance-free measurements, CNTF sensors show 1–2 orders of magnitude greater accuracy than standard surface-applied electrodes. This research confirms the feasibility of CNTFs to be used as advanced, low-noise, high-sensitivity, real-time fiber sensors for the manufacturing and lifecycle monitoring of multifunctional polymer nanocomposites. Their implementation can potentially improve production efficiency, measurement accuracy, and the quality of nanocomposite materials.
Therapeutic Strategies for Anti-TNF Non-Responsive IBD Patients
Authors: Gu Derick , Yuan Vincent 
Published: December 2024

Abstract

To investigate genetic markers and pathways influencing anti-TNF therapy response in inflammatory bowel disease (IBD), we analyzed bulk RNA-seq data (GSE186963) from responders and non-responders, identifying 619 significantly altered genes. Key findings included upregulated genes like LCN2, associated with inflammation and tissue injury, and downregulated genes such as CTLA4, an immune checkpoint regulator. Pathway enrichment analyses revealed disruptions in mitochondrial quality control, metabolic reprogramming, and immune modulation, highlighting roles for mTOR signaling and ubiquitination pathways. Gene Ontology analysis pointed to oxidative stress responses, heme metabolism, and protein degradation as critical processes, while cellular component analysis emphasized the cytosol, TORC2 complex, and extracellular exosomes. A protein-protein interaction network identified AHSP and UBA52 as pivotal molecules involved in oxidative stress mitigation and protein homeostasis. These insights informed the identification of 10 therapeutic candidates, including Nifedipine and Nicergoline, offering promising avenues for addressing anti-TNF non-responsiveness and refining treatment strategies for IBD.
A Stacked Machine Learning Framework for Predicting Electrical Power Grid Stability
Authors: V UmaRani , RN Karthika 
Published: December 2024

Abstract

Ensuring the stability of electrical power grids is critical to maintaining reliable energy distribution and mitigating the risk of blackouts, which can lead to substantial economic and safety challenges. Traditional stability prediction methods often rely on physical models constrained by inherent assumptions and limitations, making them less effective in addressing the dynamic and nonlinear characteristics of modern power grids. This study introduces a novel stacked machine learning approach to predict power grid stability by integrating ten distinct classifiers and corresponding regression models. Each model is rigorously evaluated for its predictive performance, contributing to a robust ensemble design that leverages the strengths of individual techniques. Experimental results demonstrate that the proposed stacked framework significantly outperforms conventional methods, achieving a remarkable 99% accuracy rate during validation. This high level of accuracy underscores the potential of machine learning ensembles in capturing complex patterns and interactions within power grid data. By employing advanced algorithms, this framework not only enhances prediction reliability but also contributes to proactive grid management strategies, ultimately fostering resilient and sustainable energy systems. The study highlights the practical implications of adopting machine learning-driven solutions to address critical challenges in power grid stability.
Bio-fortification of Agronomic Attributes and Biochemical Molecules in Black Night Shade as Influenced by Two Forms of Guinea Grass Biochar
Authors: Anthony Wale Ojewumi  , Samuel Ayodotun Ayoola  , Musa Hussaini Abdullahi  , Zubedat Badru Adeola  , Sunday Makinde Olubunmi  
Published: December 2024

This experiment was carried out in the greenhouse of Department of Botany, Lagos State University, Ojo, campus, South West, Nigeria in 2024. This study evaluated effects of guinea grass biochar (liquid and solid) on growth and nutritional profile in Black Night Shade (BNS). BNS seeds treated with 150% liquid biochar (LB) emerged 4days earlier, produced highest number of seedlings (8.44) and germination (84.38%) as well as plumule length (4.65 cm) in the seeds treated with 120% LB. Contribution (153.63%) and yield (27.41%) were substantially higher in the seeds treated with 150% LB. Plant height (42.33 cm) of the vegetable treated with 15g solid biochar (SB) as well as number of leaves (24.67) in the vegetable treated with 15g/L LB showed significant increase. In addition, Leaf area (51.91 cm²), Specific leaf area (167.81(m2 kg⁻1), leaf area index (0.13 m²/m2), and leaf area ratio (0.25(m2 kg‑1) were improved in BNS treated with15g/L LB .Relative growth rate (0.24(mgg‑1 day‑1) and net assimilation rate (0.08 (gm‑2 day‑1) showed similar significant increase in the vegetable treated with 15g SB. Dry matter fat, ash, crude fiber and carbohydrate were improved by15 g SB as well as most of the vitamins and minerals. In conclusion, 150% LB enhanced seedling emergence while 15g SB improved morphological traits and nutritional profile of BNS, therefore incorporation of the biochar at 15 g SB and 150% LB are suggested for production of BNS.
Exploring the Potential Use of Withania somnifera in Leprosy and Lepra Reactions: A Molecular Docking Approach
Authors: Thangaraju Pugazhenthan , Saraswathy Thiyagarajan , Velmurugan Hemasri , Venkatesan Sajitha , TY Sree Sudha , Maheshwari Pankaj , Sargunam Ray Radha , Srinivasan Alagesan , Thangaraju Eswaran , Thangaraju Tamilselvan 
Published: December 2024

Introduction:
Withania somnifera (Ashwagandha) is a traditional herb that is cur-rently commercially available for treating a variety of illnesses. By evaluating and verifying docking affinity scores, it is possible to explore the potential of the plant for treating leprosy and lepra-reaction as off-label use.

Methods:
The sitoindosides were used as ligands along with thalidomide in docking against targets, such as M. leprae, TNF-Alpha, and Interleukin-6 in order to determine the potential for inhibitory concentration and docking affinity.

Results:
According to the study, good binding energy values varied from -7 to -11 Kcal/mol. Sitoindoside IX had the highest binding affinity and important binding interactions, such as hydrogen bonding, when compared to Thalidomide and Sitoindoside X against all three re-ceptors.

Conclusion:
The present study confirmed that the Sitoindoside IX and X are a better fit for treating patients with leprosy. These findings are highly intriguing and suggest that this herb should be investigated further to validate these findings in leprosy.
Exploration of Phytochemicals as Anti-biofilm Agents Against Pathogenic Bacteria: Their Potential and Challenges
Authors: Banerjee Debolina , Biswas Poulomi , Mazumder Kamalika , Palai Sangita , Hossain Chowdhury Mobaswar , Karmakar Sanmoy , Biswas Kaushik 
Published: December 2024

Abstract:
Multicellular surface-attached populations of bacteria embedded in the extracellular
matrix are known as biofilms. Bacteria generally preferred to grow as biofilms. Quorum sensing
(QS), detection of density of cell population through gene regulation, has been found to play an
important role in the production of biofilms. Biofilm formation can increase the severity of infections
that can lead to morbidity or mortality. Bacteria living within biofilms have a higher pattern
of adaptive resistance to antibiotics. Antibiotic resistance is a barrier in the treatment of biofilmsinduced
acute to chronic infections such as post-surgery infections, surgery-associated wound
infections, endocarditis, joint infections, burn-related wound infections occurred, ventilator-associated
pneumonia, etc. So it is urgent to discover or find out potent new drugs in fight against
infectious diseases such as biofilms-associated infections. Medicinal plants or herbs are a rich
source for fighting with biofilms-mediated infections. Phytochemicals have exhibited significant
effects in the prevention of biofilms formation against different bacteria that are causing infections.
Purified compounds such as berberine, tetrandrine, embelin, xanthorrhizol, bakuchiol, etc.,
exhibited promising biofilm inhibition actions against different pathogenic bacteria. Plant extracts
that contain several phytochemicals are evaluated for its biofilm’s inhibition property, and
have shown significant potential in biofilm formation. Antibiofilm agents act by distinct mechanisms
such as inhibiting the adherence of biofilms in a surface, preventing the biofilm formations,
disrupting the matured biofilms, etc. This study is intended to reiterate about possibilities of plant
extracts and purified compounds in the treatment of the prevention of bacterial biofilms-related
infections.
Image Encryption for Indoor Space Layout Planning
Authors: Ye Ping , Kweon Jihoon 
Published: December 2024

Background:
Indoor space layout planning and design involves sensitive and confidential
information. To enhance the security and confidentiality of such data, the study introduces
an advanced image encryption algorithm. This algorithm is based on simultaneous chaotic
systems and bit plane permutation diffusion, aiming to provide a more secure and reliable
approach to indoor space layout design.

Methods:
The study proposes an image encryption algorithm that incorporates simultaneous
chaotic systems and bit plane permutation diffusion. This algorithm is then applied to the process
of indoor space layout planning and design. Comparative analysis is conducted to evaluate
the performance of the proposed algorithm against other existing methods. Additionally, a
comparative testing of indoor space layout planning and design methods is carried out to assess
the overall effectiveness of the research method.

Results:
Through the algorithm comparison test, information entropy, adjacent pixel distribution
and response time were selected as evaluation indexes. The results demonstrated that the
improved image encryption algorithm exhibited superior performance in terms of information
entropy (with average information entropy of 7.9990), anti-noise attack capability (with PSNR
value of 37.58db), and anti-differential attack capability (with NPCR and UACI values of
99.6% and 33.5%) when compared to the benchmark algorithm. In the actual application effect
test, the study selected space utilization, functionality, security, ease of use, confidentiality,
flexibility and other evaluation indicators. A comparative analysis of the actual application effects
of various interior design projects revealed that the interior space layout planning and design
method proposed in the study exhibited notable superiority over the comparison method
across all indicators. In particular, it showed overall advantages in space utilization (92.5% in
modern apartment design), functionality score (9.5 in future living experience museum design),
and safety assessment.

Conclusion:
The above key results demonstrate that the improved image encryption algorithm
and the designed indoor space layout planning method have substantial practical applications
and are expected to enhance security and confidentiality in the field of indoor space layout
planning, thereby providing users with a more optimal experience.
Precision Oncology: Advances in Drug Delivery and Imaging
Authors: Kumar Suraj , Sridhar Sathvik Belagodu , Malviya Rishabha , Prajapati Bhupendra G. 
Published: December 2024

Abstract:
The development of precise and reliable cancer treatments has been a long-standing goal
in oncology. Conventional therapies often affect healthy tissues, leading to significant side effects.
To overcome these challenges, researchers are exploring new methodologies that combine
advanced drug delivery systems with state-of-the-art imaging technologies to target tumors more
effectively. This study aims to investigate a novel approach that integrates smart drug delivery
systems with real-time imaging modalities. The goal is to enhance the targeted delivery of
therapeutic agents to cancer cells, minimizing damage to healthy tissues while improving the
overall efficacy of cancer treatments. Smart drug delivery systems are designed to transport
medications directly to tumor sites, enhancing treatment precision. When combined with real-time
imaging tools such as MRI, CT, PET, and molecular imaging, these systems offer real-time data on
the tumor’s location, size, and response to treatment. This allows for immediate adjustments in
therapy, ensuring optimal drug delivery and reducing side effects. However, the implementation of
this approach also faces challenges, including the need for stringent safety protocols and adherence
to regulatory standards. The integration of advanced drug delivery systems with cutting-edge
imaging technologies presents a promising approach to cancer therapy. By enabling more precise
treatment targeting and reducing adverse effects, this strategy has the potential to significantly
improve patient outcomes in the fight against cancer.
Factors influencing pediatric nurses' compliance with risk of falls prevention standards to achieve patient safety at Wonosari Hospital Special Region of Yogyakarta
Authors: Widiawati Anita , Lienawati Alida , Nurunniyah Siti 
Published: December 2024

<p><strong><em>Background</em></strong><em>: The incidence of fall risk for inpatient pediatric patients increased from 2022 to 2023. The incident is a serious problem and has an impact on child morbidity and mortality. The incident occurred due to a lack of evaluation of nurses' compliance with efforts to prevent the risk of falls in hospitalized children. Several studies have been conducted to determine the factors that affect nurses' compliance with fall risk prevention standards, such as education, attitude, motivation, workload and work environment factors but have not been carried out systematically on all of these factors and have not been implemented specifically for pediatric nurses.</em></p><p><strong><em>Objectives</em></strong><em>: This study aims to find out what factors most affect nurses' compliance with fall risk prevention standards in hospitalized children at Wonosari Hospital</em><em>.</em><em></em></p><p><strong><em>Methods</em></strong><em>: This study uses a cross sectional approach. The population is 86 respondents of nurses that holding care in pediatric rooms. Samples were taken using the total sampling technique.</em><em> Compliance, knowledge, attitudes ,motivation ,workload and work environment measured by valid and reliable adoption questionnaire with </em><em>calculates r &gt; table r and Cronbach's alpha &gt; 0.70).</em><em></em></p><p><strong><em>Results:</em></strong><em> The results show that the p value of &lt;0.05 There is a relationship between </em><em>knowledge, attitudes, motivation, workload, and work environment to comply </em><em>with the prevention of the risk of falling. </em><em>The most influential factor on nurses' compliance is the motivation factor, was shown to have an odds ratio value of 83.444 followed by knowledge factors (OR=58.164), attitude (OR=4.064), workload (OR=0.626), and work environment (OR=0.085).</em></p><strong><em>Conclusions</em></strong><em>: There is a relationship between knowledge, attitudes, motivation, workload and work environment to compliance with the risk of falling in hospitalized children. Motivation is the most influential factor in nurse compliance, It is hoped that the management of the hospital, will evaluate programs to prevent the risk of falling in hospitalized children</em>
Understanding Human Papillomavirus Vaccination Hesitancy in Japan Using Social Media: Content Analysis
Authors: Liu Junyu , Niu Qian , Nagai-Tanima Momoko , Aoyama Tomoki 
Published: December 2024

Background
Despite the reinstatement of proactive human papillomavirus (HPV) vaccine recommendations in 2022, Japan continues to face persistently low HPV vaccination rates, which pose significant public health challenges. Misinformation, complacency, and accessibility issues have been identified as key factors undermining vaccine uptake.

Objective
This study aims to examine the evolution of public attitudes toward HPV vaccination in Japan by analyzing social media content. Specifically, we investigate the role of misinformation, public health events, and cross-vaccine attitudes (eg, COVID-19 vaccines) in shaping vaccine hesitancy over time.

Methods
We collected tweets related to the HPV vaccine from 2011 to 2021. Natural language processing techniques and large language models (LLMs) were used for stance analysis of the collected data. Time series analysis and latent Dirichlet allocation topic modeling were used to identify shifts in public sentiment and topic trends over the decade. Misinformation within opposed-stance tweets was detected using LLMs. Furthermore, we analyzed the relationship between attitudes toward HPV and COVID-19 vaccines through logic analysis.

Results
Among the tested models, Gemini 1.0 pro (Google) achieved the highest accuracy (0.902) for stance analysis, improving to 0.968 with hyperparameter tuning. Time series analysis identified significant shifts in public stance in 2013, 2016, and 2020, corresponding to key public health events and policy changes. Topic modeling revealed that discussions around vaccine safety peaked in 2015 before declining, while topics concerning vaccine effectiveness exhibited an opposite trend. Misinformation in topic "Scientific Warnings and Public Health Risk" in the sopposed-stance tweets reached a peak of 2.84% (47/1656) in 2012 and stabilized at approximately 0.5% from 2014 onward. The volume of tweets using HPV vaccine experiences to argue stances on COVID-19 vaccines was significantly higher than the reverse.

Conclusions
Based on observation on the public attitudes toward HPV vaccination from social media contents over 10 years, our findings highlight the need for targeted public health interventions to address vaccine hesitancy in Japan. Although vaccine confidence has increased slowly, sustained efforts are necessary to ensure long-term improvements. Addressing misinformation, reducing complacency, and enhancing vaccine accessibility are key strategies for improving vaccine uptake. Some evidence suggests that confidence in one vaccine may positively influence perceptions of other vaccines. This study also demonstrated the use of LLMs in providing a comprehensive understanding of public health attitudes. Future public health strategies can benefit from these insights by designing effective interventions to boost vaccine confidence and uptake.
Pelatihan Citizen Journalism sebagai Upaya Penguatan Literasi Keamanan Digital
Authors: Cholifah Nur , Asmawati Rika Inggit , Amnesti Sheila Kusuma Wardani 
Published: December 2024

Program citizen journalism merupakan salah satu kegiatan pelibatan Masyarakat guna melakukan update informasi secara cepat dengan dukungan derasnya penggunaan internet di Indonesia saat ini. Pondok pesantren Luhur memiliki kendala dalam mempublikasikan kegiatan dalam web resmi yayasan. Penting adanya sosialisasi terkait pembekalan softskill maupun hardskill untuk membekali citizen journalism khususnya yang terjadi di Pondok Pesantern Luhur Kota Malang sebagai sarana untuk membantu publikasi dan penyebarluasan kegiatan yang dilakukan oleh yayasan kepada masyarakat umum. Tujuan dari sosialisasi ini adalah membantu citizen journalism agar sesuai dengan nilai-nilai moderasi beragama dan meningkatkan literasi keamanan digital. Metode yang digunakan dalam artikel ini adalah ABCD (Asset Based Community Development) yang menitik beratkan pada pemberdayaan asset, kekuatan, dan potensi yang dimiliki oleh Masyarakat. Hasil sosialisasi yang dilakukan adalah terjadinya peningkatan pengetahuan audiens dengan pendampingan penulisan berita atau kegiatan secara mandiri sesuai etika jurnalistik terkait prinsip moderasi beragama pada jurnalis, serta penguatan literasi keamanan digital bagi citizen journalism.

Abstract
Citizen Journalism Training as an Effort to Strengthen Digital Security Literacy.The citizen journalism program is one of the community involvement activities to update information quickly with the support of the rapid use of the internet in Indonesia today. The Luhur Islamic Boarding School has obstacles in publishing activities on the foundation's official website. It is important to have socialization related to the provision of soft skills and hard skills to equip citizen journalism, especially those that occur at the Luhur Islamic Boarding School in Malang City as a means to help publish and disseminate activities carried out by the foundation to the general public. The purpose of this socialization is to help citizen journalism to be in accordance with the values of religious moderation and increase digital security literacy. The method used in this article is ABCD (Asset Based Community Development) which focuses on empowering assets, strengths, and potentials owned by the community. The results of the socialization carried out are an increase in audience knowledge with assistance in writing news or activities independently according to journalistic ethics related to the principles of religious moderation in journalists, as well as strengthening digital security literacy for citizen journalism.