bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning-driven Identification and Evaluation of Potential Therapeutic Agents for COVID-19 Co-infection Diseases Targeting METTL3
Authors: Hu Xiaopeng , Pan Peijiang , Zhou Lijuan , Chu Jiemei , Wang Hailong , Liao Yanyan , Li Yueqi , Lin Yao , Jiang Junjun , Ye Li , Liang Shuaiyi , An Sanqi , Liang Hao 
Published: December 2024

Background:
Patients with COVID-19 often have an impact on populations with underlying
co-infection. METTL3 plays a crucial role in numerous infectious diseases, making the research
on broad-spectrum anti-infective drugs targeting METTL3 both captivating and compelling.

Objective:
The study aims to identify anti-infection potential compounds targeting METTL3 using a
comprehensive virtual screening approach.

Method:
The approach involves ensemble docking and molecular dynamics simulations to predict
and validate the potential of natural compounds. This was complemented by the application of deep
learning, specifically CNN binary classification and regression models, to predict the anti-infection
capabilities of the compounds identified through docking. Experimental validation through Surface
Plasmon Resonance (SPR) further confirmed the computational predictions. Network and gene ontology
analyses provided insights into the compounds' biological targets and pathways.

Results:
Ensemble docking approach achieved high prediction accuracy. We identified 17 natural
compounds as potential METTL3 inhibitors, with Rosavin and Eriocitrin showing strong antiinfection
potential against HIV-1, SARS-CoV-2, Mycobacterium tuberculosis, and Influenza A.
Rosavin's low toxicity and strong METTL3 binding affinity were confirmed by SPR experiments and
MD simulations. Network and gene ontology analyses suggest Rosavin may enhance immune responses
by disrupting interferon degradation.

Conclusion:
The multidimensional analysis identified Rosavin as a potent METTL3 inhibitor with
significant anti-COVID-19 co-infection diseases potential.
Herbal Medicine for the Management of Wounds: A Systematic Review of Clinical Studies
Authors: Ahmed Lokman Ali , Hussain Arshadul , Barbhuiya Pervej Alom , Zaman Samsuj , Laskar Abdul Mannaf , Pathak Manash Pratim , Dutta Partha Pratim , Sen Saikat 
Published: December 2024

Background:
Cuts and wounds are unfortunate yet inevitable events. Traditional remedies have historically harnessed various plants for wound healing, undergoing clinical and pre-clinical scrutiny. Hence, this systematic review focuses on clinically researched herbal formulations for wound healing.

Methodology:
Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, databases like Google Scholar, Web of Science, PubMed, Scopus, J-gate, and Ayush Research Portal were meticulously searched for clinical trials in-volving wound-targeting herbal formulations, alongside a comprehensive hunt for preclini-cal plant data.

Results:
Among 623 screened documents, 26 published clinical trials spotlighting herbal wound healing formulations were identified. All studies showcased significant wound heal-ing progress, with some surpassing standard betadine treatment. Only one study reported an adverse effect. Within the 26 formulations, 45 distinct plant species were employed, with 35 exhibiting wound healing attributes like antimicrobial, anti-inflammatory, and antioxidant activities scientifically. Enhanced collagen content, stabilized fibers, activated fibroblast cells, increased total protein, elevated growth factors, hydroxyproline, hexosamine, and tis-sue protein demonstrate the efficacy of plants, such as Hypericum perforatum, Centella asi-atica, and Calendula officinalis in wound healing.

Conclusion:
The findings of the current study indicated that medicinal plants are effective and safe agents for the treatment of wounds, though larger, well-designed trials are needed for definitive role confirmation.
An Overview of Nipah Virus Infection
Authors: Singh Ujjawal , Sharma Ramsha , Kamal Raj , Kumar Ranjeet 
Published: December 2024

Abstract:
Nipah virus (NiV), a bat-borne infection, was first identified in Malaysia 20 years ago and has since caused outbreaks in South and Southeast Asia. NiV leads to severe respiratory and neurological conditions, is often fatal, and is highly contagious, spreading through close contact with infected individuals or animals. The virus exhibits varied clin-ical and epidemiological traits, necessitating rapid infection control measures to prevent epidemics. Despite advances in molecular and serological diagnostic techniques, effective treatment and prevention interventions remain unavailable. The high fatality rate and po-tential for widespread transmission underscore the urgent need for effective therapies. The “One Health” approach is vital for preventing NiV infection, as bats are the primary trans-mission route to humans, though other intermediary hosts exist. Initially, NiV infections presented as fever and rapid brain function deterioration after contact with pigs. Recent outbreaks have shown pronounced respiratory symptoms and human-to-human transmis-sion. The pandemic potential of NiV is significant due to the ubiquity of its reservoir host, increased deforestation, multiple transmission modes, high case fatality rate, and lack of effective treatments or vaccines. This review explores the microbiology, epidemiology, and current treatment and vaccination research for NiV.
Efficient Multiclass Classification of Small Datasets Using a Novel Contrast-based Learning Approach
Authors: Fayaz Salma , Shah Syed Zubair Ahmad , assad assif 
Published: December 2024

Introduction:
Deep learning models often face challenges in achieving optimal accuracy
when classifying multiclass datasets, particularly when the dataset size is limited. This study
introduces Contrast Based Learning (CBL), a novel data augmentation technique designed to address
data scarcity.

Method:
CBL innovatively concatenates multiple image and contrast learning to generate enriched
datasets that exhibit a higher diversity of complex features. By focusing on the contrasts
between various images, this method enhances the model's ability to learn nuanced features,
thereby improving generalization and reducing overfitting.

Results:
Unlike traditional data augmentation methods, which rely on basic transformations,
CBL dynamically concatenates images from different classes, creating complex inputs that provide
the model with a more comprehensive training dataset. Experimental results show that CBL
significantly improves classification accuracy and outperforms state-of-the-art methods across
multiple small-scale multiclass datasets.

Conclusion:
The findings highlight the robustness of CBL in addressing data limitations, demonstrating
its potential to advance the classification performance of deep learning models.
Methane Valorization through Direct Conversion to Methanol Using Catalysts Based on Copper-Modified Natural Clays
Authors: Ordoñez Douglas R. Rodríguez , Pantoja Cristian A. Morillo , Villa Aida L. 
Published: December 2024

Introduction:
A series of Cu-montmorillonite clay composites (MtCs), prepared
through cation exchange and wet impregnation with varying amounts of copper, have been tested
for the direct oxidation of methane to methanol.

Methods:
The catalysts were characterized using several analytical techniques, including surface area
BET, X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy
(TEM), Ammonia Temperature-Programmed Desorption (NH3-TPD), and pyridine desorption,
followed by Fourier Transform Infrared (FTIR) spectroscopy. Catalytic tests were conducted at
various temperatures and pressures using hydrogen peroxide as the oxidizing agent.

Results:
The characterization results indicated the incorporation of copper species to not significantly
modify the clay composite morphology. The TEM images of the samples with low copper
content (0.8 Cu wt.%) showed the copper particles to be uniformly distributed. Conversely,
for the higher copper content samples (3.5 Cu wt.%) prepared by wet impregnation, the copper
particles distributed around the montmorillonite clay composites. It has been observed that silica
(MtC-Si) and aluminum (MtC-SiAl) montmorillonite clay composites have exhibited notable
differences in acid site strength and distribution, influencing the dispersion and type of copper
species being active for direct oxidation of methane to methanol.

Conclusion:
The findings have indicated the well-dispersed copper species, favored by the
structure MtCs, to resulted in enhanced catalytic activity for methane’s oxidation to methanol.
Neurofunctional Impacts of COVID-19: Memory Loss and Cognitive Decline and Treatment
Authors: Deb Avishek , Pathak Kalyani , Das Jyotirmoy , Bhattacharjee Ratnadeep , Saikia Riya , Gogoi Saptasikha , Sahariah Jon Jyoti , Ahmad Mohammad Zaki 
Published: December 2024

Abstract:
Although SARS-CoV-2, the virus that causes COVID-19 has been responsible for pneumonia,
recent studies indicate that it also affects the kidneys, heart, and brain, among other vital organs.
Evidence suggests that this virus may travel retrogradely from the olfactory epithelium to brain
stem sections, causing neurological impairments in a significant number of individuals. Individuals
with severe COVID-19 frequently have elevated cytokines that promote inflammation and acute
respiratory failure and require frequent supportive ventilation. These factors are believed to contribute
to cognitive deterioration. Severe neurological outcomes in COVID-19 patients include- paralysis,
stroke, cranial nerve deficits, delirium, encephalopathy, seizures, and meningitis. The virus, with
its unique structure, and a high binding affinity for the human enzyme ACE2 (used as an entry point
by the virus), contributes significantly to its deadly nature. Furthermore, to address the outbreak effectively,
researchers worldwide must develop precise treatment strategies. Advancing new diagnostic
and treatment methods to mitigate the long-term effects of COVID-19 on cognition requires further
epidemiological research and clinical experience. Additionally, by understanding the virus's
impact on cognitive functions, healthcare professionals can develop targeted treatments to alleviate
these severe neurological consequences.
Effect of Supplementation of Black Seeds (Nigella sativa) on Biomarkers of Oxidative Stress: An Updated Narrative Review of Clinical and Preclinical
Studies
Authors: Pakkir Maideen Naina Mohamed 
Published: December 2024

Abstract:
Increased generation and accumulation of free radicals (reactive oxygen species) and a
decrease in the activity of antioxidant systems can result in oxidative stress. In this study, we investigate
the antioxidant properties of black seeds (Nigella sativa). To find pertinent papers,
searches were conducted using reference lists, Web of Science, Medline/PMC/PubMed, Scopus,
Google Scholar, and Science Direct, among other web-based resources. Black seed (Nigella sativa)
supplementation has been demonstrated in several preclinical and clinical studies to decrease lipid
peroxidation and raise levels of antioxidant enzymes. There are several ways in which black seeds
(Nigella sativa) can exhibit antioxidant activity: they can do this by reducing oxidative stress and
free radical formation, scavenging superoxide and other reactive oxygen species, inhibiting lipid
peroxidation, inhibiting nuclear factor-kB (NF-kB), upregulating genes encoding antioxidant enzymes,
lowering malondialdehyde levels, elevating total antioxidant capacity levels, and enhancing
antioxidant enzymes like superoxide dismutase, catalase, glutathione peroxidase, and many more.
For individuals suffering from chronic conditions including diabetes, hypertension, dyslipidemia,
cancer, and many more, black seeds (Nigella sativa) may thus be used as an adjuvant therapy in
addition to standard drugs.
Gold Ring and Graphite-Based Plasmonic Photonic Crystal Sensor for Biomedical Applications
Authors: Khan Muhammad Irfan , Khan Yousuf , Atiq Ur Rehman  
Published: December 2024

Introduction:
This research puts forward a cost-efficient high-efficiency plasmonic
photonic crystal sensor for biomedical applications that functions in the near-infrared range.

Method:
The sensor design is composed of multiple two-dimensional photonic crystal layers
stacked in the order of SiO2 foundational layer, graphite layer, MgF2 waveguide, and finally a
gold ring over the top. The graphite layer is deposited for optimum sensing and high absorption
peaks and is state-of-the-art in this research work. Metal deposition of the gold layer is used for
harnessing plasmonic properties that play a vital role in detecting small refractive index changes.

Result:
The sensor design is investigated for a range of coupling incident angles and it is found
that the sensor is responsive to a broad range of angles i.e., 0o to 80o. The proposed sensor has
given output peak values of more than 90% in the whole range of incident source angles.

Conclusion:
Finally, water and 25% concentration of glucose samples are used for investigating
sensor performance and it is noted that the sensor’s sensitivity reaches as high as 1675 nm/RIU-1
with a Figure of Merit (FOM) of 20.94 RIU-1. The sensor’s numerical simulations have been performed
using Finite Element Method (FEM) and Finite Difference Time Domain (FDTD).
Description of breastfeeding on hyperbilirubinemia infants with light therapy in the perinatology room of Muhammadiyah Hospital Taman Puring
Authors: Mustikawati Mustikawati , Hikma Wd Erty , Fiandy Rani Pratiwi , Fitriani Vany 
Published: December 2024

<p><strong><em>Background</em></strong><em>: Hyperbilirubinemia is a condition where excessive bilirubin builds up in the blood, causing yellowing of the skin, sclera, and nails. Hyperbilirubinemia is a common finding in newborns and will start appearing clinically in newborns when blood bilirubin levels are 5 – 7 mg/dl. hyperbilirubinemia can be caused by several factors, including gestational age, birth weight, blood type, breast milk intake, prematurity, and congenital diseases or disorders. </em></p><p><strong><em>Objectives</em></strong><em>: to describe how breastfeeding could help reduce bilirubin levels in infants with hyperbilirubinemia receiving light therapy in the Perinatology Room at Muhammadiyah Hospital Taman Puring. </em></p><p><strong><em>Methods</em></strong><em>: the research used a qualitative descriptive approach, collecting data through interviews, observations, and documentation</em>. <em>The inclusion criteria in this research are: hyperbilirubinemia infants with phototherapy, exclusive breastfeeding, no comorbidities and parents willing to have their infants become case study subjects.</em> <em>The study involved three infants aged 3-7 days with hyperbilirubinemia who were given breastfeeding and light therapy. </em></p><p><strong><em>Results</em></strong><em>: showed that infants who underwent light therapy for 24 to 48 hours, combined with breastfeeding tailored to their fluid needs based on body weight (169 ml/day for a 2700-gram baby, 320 ml/day for a 3200-gram baby, and 465 ml/day for a 3150-gram baby), experienced a significant reduction in bilirubin levels. </em></p><p><strong><em>Conclusions</em></strong><em>: breastfeeding and light therapy resulted in a notable decrease in serum bilirubin levels in hyperbilirubinemia infants. The study recommended that nurses promote exclusive breastfeeding and ensure the breastfeeding process was effective and met the infants’ needs to help lower bilirubin levels.</em></p>
Influencers in Policy Fields on Social Media: Global Longitudinal Study of Dietary Sodium Reduction Posts, 2006-2022
Authors: Montoya Alana , Mao Lingchao , Drewnowski Adam , Chen Joshua , Shi Ella , Liang Aileen , Weiner Bryan J , Su Yanfang 
Published: December 2024

Background
Excessive sodium intake is a major concern for global public health. Despite multiple dietary guidelines, population sodium intakes are above recommended levels. Lack of health literacy could be one contributing issue and contemporary health literacy is largely shaped by social media.

Objective
This study aims to quantify the posting behaviors and influence patterns on dietary sodium–related content by influencers in the policy field on X (formerly Twitter) across time.

Methods
We first identified X users with a scope of work related to dietary sodium and retrieved their posts (formerly Tweets) from 2006 to 2022. Users were categorized into the policy groups of outer-setting organization, inner-setting organization, or individual, based on their role in the conceptual policy field. Network analysis was used to analyze interactions among users and identify the top influencers in each policy group. A 4D influence framework was applied to measure the overall influence, activity, priority, originality, and popularity scores. These measures were used to reveal the user-level, group-level, and temporal patterns of sodium-related influence.

Results
We identified 78 users with content related to dietary sodium, with 1,099,605 posts in total and 14,732 dietary sodium posts. There was an increasing volume of sodium posts from 2010 to 2015; however, the trend has been decreasing since 2016, especially among outer-setting organizations. The top influencers from the three policy groups were the World Health Organization (WHO), the American Heart Association, and Tom Frieden. Simon Capewell and the WHO ranked the highest in activity; the World Action on Salt, Sugar, and Health and Action on Salt had the highest priority for dietary sodium content; General Mills and Tom Frieden had the highest originality; and WHO, Harvard University School of Medicine, and Tom Frieden received the highest popularity. Outer-setting organizations tend to interact with more users in the network compared to inner-setting organizations and individuals, while inner-setting organizations tend to receive more engagements from other users in the network than the other two groups. Monthly patterns showed a significant peak in the number of sodium posts in March compared with other months.

Conclusions
Despite the increased use of social media, recent trends of sodium intake education on social media are decreasing and the priority of sodium among other topics is low. To improve policy implementation effectiveness and meet recommended dietary targets, there is an increasing need for health leaders to consistently and collectively advocate for sodium intake reduction on social media.
Platform-Based Patient-Clinician Digital Health Interventions for Care Transitions: Scoping Review
Authors: Backman Chantal , Papp Rosie , Tonjock Kolle Aurelie , Papp Steve , Visintini Sarah , Schaefer Ferreira de Mello Ana Lúcia , de Melo Lanzoni Gabriela Marcellino , Harley Anne 
Published: December 2024

Background
Care transitions are complex and can make patients vulnerable to adverse events. Poor communication among clinicians, patients, and their caregivers is a critical gap during these periods of transition. Technology solutions such as platform-based patient-clinician digital health interventions (DHIs) can provide support and education to patients.

Objective
The aims of this scoping review were to explore the literature on platform-based patient-clinician DHIs specific to hospital-to-home care transitions and identify the barriers to and enablers of the uptake and implementation of these DHIs.

Methods
A scoping review was conducted. A total of 4 databases (MEDLINE, CINAHL, Embase, and the Cochrane Central Register of Controlled Trials) were searched on July 13, 2022. Studies involving patients aged >18 years who used platform-based DHIs during their hospital-to-home transition were included. In total, 2 reviewers independently screened the articles for eligibility using a 2-stage process of title and abstract and full-text screening. Eligible studies underwent data extraction, and the results were analyzed using descriptive and narrative methods.

Results
We screened 8322 articles, of which 97 (1.17%) met our inclusion criteria. DHIs were implemented using a mobile app (59/97, 61%), a web-based platform (28/97, 29%), or a combination of both (10/97, 10%). The 2 most common health conditions related to the DHIs were cardiac disease (22/97, 23%) and stroke (11/97, 11%). Outcomes varied greatly but were grouped by health care use, complications, and wellness outcomes. The top 2 barriers were lack of interest (13/97, 13%) and time constraints to use the DHIs (10/97, 10%), and the top 2 enablers were the ability to use the DHIs (17/97, 18%) and their ease of use (11/97, 11%). The main conflicting theme was access (enabler; 28/97, 29%) or limited access (barrier; 15/97, 15%) to technology or the internet.

Conclusions
Platform-based DHIs could help improve communication, coordination, and information sharing between clinicians and patients during transition periods. Further research is needed to assess the effectiveness of these platform-based DHIs on patient outcomes.
Factors That Influence Young Adults’ Preferences for Virtual Reality Exergames in a Weight Control Setting: Qualitative Study
Authors: Chen Yanya , Guan Lina , Wu Weixin , Ye Liang , He Yan , Zheng Xiaofen , Li Sicun , Guan Bingsheng , Ming Wai-kit 
Published: December 2024

Background
Obesity could compromise people’s health and elevate the risk of numerous severe chronic conditions and premature mortality. Young adults are at high risk of adopting unhealthy lifestyles related to overweight and obesity, as they are at a phase marked by several significant life milestones that have been linked to weight gain. They gain weight rapidly and excess adiposity mostly accrues, compared with middle-aged and older adults when weight stabilizes or even decreases. Virtual reality exergames have the potential to increase physical activity in people’s daily lives. However, the factors that influence young adults’ preference for using virtual reality exergames for weight control remain unclear.

Objective
The objective of this study is to identify, characterize, and explain the factors influencing young adults' preference for weight control using virtual reality exergames.

Methods
This qualitative study used semistructured interviews. In total, 4 focus group interviews were conducted with 23 young adults aged between 18 and 25 years. The qualitative data were analyzed using the Colaizzi phenomenological methodology.

Results
In total, 3 major factors were found to influence young adults’ preference for virtual reality exergames in weight control settings: individual factors, social or environmental factors, and expectations of virtual reality exergames. Individual factors included experience with previous weight control methods, previous experience with virtual reality, psychological status, attitudes toward personal BMI, preference for exercise type, and acceptance of virtual reality exergames. Social or environmental factors included social definitions of beauty, weather or public health events, and knowledge of virtual reality provided. Expectations of virtual reality exergames included cost of the device, the fun of virtual reality exergames, supervision, modality of virtual reality exergames, feedback after exercise, convenience to use, and weight loss effect.

Conclusions
Young adults take various factors into account when deciding whether to use virtual reality exergames for weight control. These factors can inform the development and further refinement of devices, guides, and policies related to virtual reality exergames for controlling weight.