bluuebunny/crossref_metadata_2025 huggingface dataset:
Part B: Innovative Data Analysis Approach to Boost Machine Learning for Seakeeping Purposes; Computational Efficiency
Authors: Majidiyan Hamed , Enshaei Hossein , Howe Damon , Gubesch Eric
Published: December 2024

The increasing influence of AI across various scientific domains has prompted engineering to embark on new explorations for complex challenges. However, recent studies often overlook the foundational aspects of the maritime field, leading to over-optimistic or oversimplified outputs for real-world application purposes. To address these concerns, in previous works, we highlighted the sensitivity of trained models to noise, computational efficiency, and the necessity for feature engineering/compactness in seakeeping given the stochastic nature of the wave. In response, a novel data analysis framework was introduced with two purposes to augment data for machine learning (ML) models in seakeeping: transferring features from high-fidelity to low-fidelity modelling which resulted in improving feature accuracy for simulation and increasing computational efficiency through feature engineering; the current issue addresses the second objectives. To this end, the experimental data of a spherical model in a wave basin excited by different waves has been employed. The response time series of the model underwent a continuous wavelet transform to extract fine spectral-temporal features. After feature reorganization based on coefficient intensity in a new feature map, additional endogenous features are attached to the arrays to improve feature variability and entropy. Different ML models were trained, where the new data analysis framework substantially reduced training costs while maintaining fair accuracy, with training times slashed from hours to seconds. The significance of the current study extends beyond the maritime context and can be utilised for ML applications in intrinsically stochastic data.
Enhancing Real-Time Intrusion Detection with Variational Autoencoders-Based Dimensionality Reduction and Attention-Driven MLP Classification
Authors: Immastephy Anto Jenisha , PUNITHA K
Published: December 2024

Real-time intrusion detection is crucial for safeguarding modern networks against evolving cyber threats. Traditional detection systems often face challenges such as high dimensionality, leading to increased computational complexity and reduced detection accuracy. In this paper, we propose an enhanced real-time intrusion detection framework that integrates Variational Autoencoders (VAEs) for dimensionality reduction and an Attention Network in conjunction with a Multi-Layer Perceptron (MLP) for robust classification. The VAE-based dimensionality reduction technique effectively compresses high-dimensional data while preserving key features essential for accurate threat detection. By employing an Attention Network, the model selectively focuses on the most relevant features, improving the classification of both known and unknown intrusion patterns. The MLP serves as the final classifier, utilizing the reduced and attention-refined feature set to provide fast and accurate intrusion detection. Extensive experiments were conducted on benchmark intrusion detection datasets, demonstrating that our proposed model outperforms traditional methods in terms of detection accuracy, computational efficiency, and real-time performance. The combination of VAE for dimensionality reduction and attention-based feature selection with MLP classification presents a powerful approach for enhancing intrusion detection systems, making them more resilient to sophisticated and zero-day attacks.
Ellipse-Fit Alignment for Robust 2D Shape Recognition
Authors: Fidan Mehmet , Ergin Semih , Koç Mehmet , Gülmezoğlu Mehmet Bilginer , Gerek Ömer Nezih , Barkana Atalay
Published: December 2024

This study proposes a novel approach for robust 2D shape recognition through ellipse-fit alignment. The method aligns shapes using an ellipse fitting algorithm, addressing issues of rotation, translation, and scaling commonly observed in shape databases. Following alignment, shapes are classified using various similarity measures. Experimental results on the Kimia and TARI databases demonstrate the effectiveness of the proposed method. In the Kimia database, metrics such as Threat Score, Accuracy, F1 Score, Matthews Correlation Coefficient, Fowlkes-Mallows index, and Vote achieved perfect recognition rates. The code and databases can be accessed via https://doi.org/10.5281/zenodo.14423922. While the TARI database yielded slightly lower recognition rates, with Accuracy and Markedness contributing to an 85.5% recognition rate, the results highlight the potential and limitations of the approach. The study introduces a significant advancement in 2D shape recognition by combining ellipse fitting, affine transformation, and similarity measurement, offering a robust solution for applications in computer vision and image retrieval.
Impact of Anthropogenic Landscape Transformation on Soil Fertility and Diversity of Carabid Beetles and Butterflies in Poland
Authors: Szyszko-Podgórska Katarzyna , Ukalska Joanna , Ukalski Krzystof , Kondras Marek
Published: December 2024

Anthropogenic transformation of the landscape, including urbanization and intensive agriculture, significantly affects the structure and functioning of ecosystems. The result of these changes is disruption of species population dynamics and a decline in biodiversity. Understanding the impact of soil characteristics on biodiversity is crucial to landscape ecology, particularly in the context of indicator species such as butterflies and Carabid beetles. The present study aimed to investigate the influence of soil variables on the occurrence and diversity of butterflies and Carabid beetles in three regions of Poland. In addition, the study sought to determine how the history of land use affects the current soil properties and community structure of the organisms in different types of ecosystems. The results showed significant differences in soil variables depending on land use form. High HSI values in post-agricultural soils indicate the influence of historical agricultural use on soil fertility. High butterfly diversity was associated with rich open land soils, while beetle diversity was less dependent on soil fertility and more resistant to environmental changes. The RDA showed that K, Ca, Mg and N are key soil variables affecting butterfly diversity, while in beetles K, Mg and HSI. The study underscores the need to consider land use history in soil management to promote biodiversity. The results suggest that a diverse approach to environmental management, tailored to local conditions, can increase the effectiveness of biodiversity conservation. Management strategies should focus on maintaining habitat diversity, which is key to maintaining healthy ecosystems.
Smart Disaster Prediction: A Unified Machine Learning Approach for Earthquakes and Floods
Authors: Bhole Chitra , Shetty Pratik , Tripathi Sachin , Varma Shubham
Published: December 2024

Natural disaster prediction is vital for the minimization of effects of these calamities on human life and infrastructure. The aim of this research work is to find an application of machine learning algorithms in earthquake magnitude and flood event prediction. This is achieved using historical seismic data, provided by the Indian Meteorological Department and United States Geological Survey. This paper was trained by optimizing the Random Forest model using RandomizedSearchCV. The model had a MAE of 14.5%, RMSE of 19.8%, and an R-squared value of 0.75, thus it proved to be efficient in the prediction of earthquake magnitudes. For flood prediction, a Voting Classifier ensemble model was used that comprised XGBoost, Random Forest, KNN and Decision Tree and, for the prediction of flood events with environmental and socioeconomic factors. The ensemble model presented significant results with an accuracy of 93.64%, precision of 89%, recall of 85%, and an F1-Score of 87%, which shows how this model is robust in flood-non-flood classification. Results therefore indicate the potentiality that machine learning models have for improving disaster prediction by indicating the strength of the ensemble methods in improving early preparedness, resource allocation, and early warning systems.
Effect of hormonal Imbalance on Semen Quality in male infertility : A Cross-sectional Study in Puntland, Somalia
Authors: Ibrahim Mohammad Sulieman
Published: December 2024

Introduction:
This cross-sectional study investigated the relationship between hormonal imbalances and semen quality parameters in 48 male patients seeking fertility treatment in Puntland, Somalia. Semen analysis and hormonal assays were conducted to examine correlations between reproductive hormones (FSH, LH, Prolactin, and Testosterone) and a composite Semen Quality Index (SQi).
Results
Statistical analysis revealed a significant positive correlation between testosterone and SQi (r = 0.28, p = 0.042) and a negative correlation between FSH and SQi (r = -0.31, p = 0.024). Multiple regression analysis demonstrated that hormonal factors accounted for 32.4% of the variance in semen quality (R² = 0.324, p < 0.001). FSH showed a significant negative association (β = -0.286, p = 0.003) while testosterone demonstrated a significant positive relationship (β = 0.245, p = 0.012) with semen quality.
Conclusion
These findings suggest that hormonal imbalances, particularly in FSH and testosterone levels, significantly influence male fertility parameters. The study provides valuable insights for understanding male infertility in the Somali context, though larger longitudinal studies are needed to establish causality and explore additional contributing factors.
TWO NEWS HEPTAMOLYBDATES COMPOUNDS: SYNTHESIZES, ELECTROCHEMICAL PROPERTIES AND THERMAL STABILITY
Authors:   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Soumano Aboubacar , Aly Gueye Papa ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Yaffa Lamine ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Seye Dame ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal.,   Department of Chemistry and Physical, UFR Science and Technology, Iba Der Thiam University, Thies, Senegal., Toure Assane ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Fall Balla ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Duhayon Carine ,   Department of Inorganic Chemistry HIavova 2030 (Albertov 8) 128 43 Praha 2, Czech Republic., Abdoul Khadir Diop Cheikh ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal., Gyepes Robert ,   Department of Inorganic Chemistry HIavova 2030 (Albertov 8) 128 43 Praha 2, Czech Republic., Sidibe Mamadou ,   Mineral and Analytical Chemistry Laboratory, Department of Chemistry, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal.
Published: December 2024

In this paper, two new compounds, (1) and (2), have been synthesized by a one pot process at the reflux condition. Both compounds were characterized by infrared and UV-visible spectroscopy techniques, as well as by X-ray diffraction. The compound (1) crystallizes in the monoclinic system with the space group P21/n and the compound (2) crystallizes in the monoclinic system but with the space group P21/c. The structure consists of a non-protonated heptamolybdates polyanions, stabilized by organoammonium groups and water molecules. The cohesion of the three-dimensional structure is ensured by hydrogen bonds between the polyanions, the organoammonium groups, and the water molecules, thereby providing significant stability to the compound.
FAMILY, BUSINESS AND FAMILY BUSINESS
Authors: Kulkarni Shreyas
Published: December 2024

This research explores intersections between family, business, and family business. The study characterises the difference with the aim to clarify conceptual differences and their individual role in the society. While family refers to a social unit tied by emotional bonds, business represents a commercial activity driven by financial goals. Family business, however, is a unique combination of the two. Family businesses are uniquely positioned to balance the personal concerns with professional concerns and focuses on longevity and identity over quick profitability. This study provides a key difference that emphasises on how each aspect is different and yet they complement each other. Factors such as governance, leadership, and the role of family values are explored. The paper aims to contribute to a deeper understanding of family and non-family business and explore how family harmony and business success is maintained.
ANDERSON-TYPE POMS, SYNTHESIS AND ELECTROCHEMICAL AND PHOTO-CHROMISM PROPERTIES STUDIES
Authors: Aly Gueye Papa , Yaffa Lamine , Diouf Ababacar , Blaise Kama Antoine , Ndoye Daouda , Traore Bocar , A.K. Diop Cheikh , Sidibe Mamadou , Gautier Romain
Published: December 2024

Two compounds of polyoxometalate, (NH4)5[IMo6O24]Â·3NH3.5H2O (1) and (NH4)6[TeMo6O24]Â·NH3.5H2O (2), have been synthesized and characterized by elemental analysis IR and Uv-visible spectroscopy TG analysis and single-crystal X-ray diffraction. The crystal data for these compounds are the following: 1, orthorhombic, Pccn, a=14.2765(4) Ã…, b= 14.9384(3) Ã…, c=14.6053(3) Ã…, Î±=90Â°, Î² = 90Â°, Î³ =90Â°, Z =10 2, orthorhombic, Pccn, a=14.2538(5) Ã…, b= 14.9475(5) Ã…, c=14.6598(5) Ã…, Î±=90Â°, Î² = 90Â°, Î³ =90Â°, Z =10. Compounds 1 and 2 exhibited 2D networks derived from Anderson A-type [XMo6O24]5- (X=I (1) or Te (2) ) anions H2O and NHY(Y-3)+ (y= 3 or 4). The electrochemical and photochromic properties of these compounds were studied. And it reveals that compound (2) shows excellent redox and photochromic properties. Unlike compound (1) which has good redox properties but weak photochromic properties.
Autofictions in Co-labouring
Authors: Damian Martin Diana , Perazzo Daniela , Wakefield Nik
Published: December 2024

In this co-authored text, the Dissonant Co-Labouring Key Group examines the difficulties, gaps, political slippages and entanglements of collaboration in its encounter with artistic and educational institutions. Engaging autofiction as a scholarly mode with different models of co-authorship, the Key Group move through critical engagements with working conditions, temporalities of labour and its instrumentalisation within and beyond universities and cultural ecologies. Dialoguing with a plurality of voices and registers, the text invokes adjacent and overlapping temporalities of working together, attends to different modalities of critical thought and collapses the distinction between the fictive and the real.
Relationship between dynamic capability view and organizational resilience: Findings from a symmetric approach
Authors: Shojaee Ali , Vasa Laszlo
Published: December 2024

The COVID-19 outbreak has underscored the importance of strengthening an organization’s resilience and adaptive capability. In emerging and uncertain conditions, firms must adopt new capabilities to develop and survive unstable and unforeseen crises. The purpose of this study is to examine the difference between organizational resilience and the antecedents that are validated using a quantitative survey. The respondents consist of 157 top employees from 21 private service firms at the managerial level in Bangladesh. The proposed relationship is measured using the partial least squares structural equation modeling (PLS-SEM), a symmetric approach, using SmartPLS 4 software. The findings help to produce the path coefficient with organizational resilience that can lead to sustainable environments in highly turbulent conditions. The PLS-SEM analysis indicates that the antecedents of flexibility, agility, and redundancy have a strong and meaningful association with organizational resilience in response to disruptions. Therefore, this paper shows evidence that the measurement scales more effectively account for uncertainty in achieving resilience, supporting the role of the dynamic capability view.
Cardiac myxoma discovery behind chronic carotid occlusion in stroke
Authors: Oumarou Hamissou Ibrahim , Wintzer-Wehekind Jerome
Published: December 2024

A 57-year-old female smoker presented with a left-sided ischemic stroke, leading to the discovery of two concurrent potential embolic sources: a chronic left internal carotid artery occlusion and a left atrial myxoma. While cardiac myxomas are known sources of cerebral emboli, this case presented a unique management challenge due to the coexisting carotid pathology. Despite successful surgical resection of the myxoma, the patient experienced a subsequent stroke one month postoperatively. This case highlights the complex clinical decision-making required when managing patients with multiple potential sources of cerebral embolism.
Acute myocarditis secondary to human metapneumovirus: a case series and mini-review
Authors: Al Hennawi Hussam , Khan Aamna , Shpilman Alexander , Mazzoni Jennifer A.
Published: December 2024

Among viral myocarditis, human metapneumovirus (hMPV) is a rare causative agent with associated cardiac complications. This report provides insight into the disease progression and sheds light on reported cases from the literature. We present the clinical courses of two patients, aged 68 and 58, who developed myocarditis secondary to hMPV infection. Despite the typical severity associated with viral myocarditis in older populations, both patients experienced significant improvement in their condition and ultimately survived. This report highlights the necessity of recognizing hMPV as a potential cause of myocarditis, particularly in older adults presenting with simultaneous respiratory and cardiac symptoms. The recovery and survival of these patients underscore the critical need for awareness and timely treatment strategies to manage this potentially severe condition.
Implementing Open Science Principles in Ukrainian Legislation: European Experiences and National Specificities
Authors: Luchenko Dmytro , Tsuvina Tetiana , Karnaukh Bohdan , Filatova-Belous Nataliia , Yevkov Andrii , Shumilo Inesa
Published: December 2024

In the context of Ukraine's European integration and ongoing scientific sector reform, implementing Open Science principles has become increasingly relevant for the national academic community.  This paper analyzes EU and Ukrainian legislation regarding open access to scientific and technical information and research infrastructure, while also proposing ways to improve the quality assessment system for scientific and technical activities. The authors employ a comprehensive methodology, combining general scientific methods (analysis, synthesis, comparison, and historical analysis) with specialized legal research methods (doctrinal analysis, forecasting, and modeling) to conduct a multifaceted study and support their conclusions on the need for legislative updates. The first section examines the legal framework supporting open access to scientific and technical information, arguing for the introduction of new legislative concepts including «open access to scientific and technical information», «public funding of scientific research», «research data,», «metadata». The second section addresses copyright protection within the open science context, proposing amendments to Ukrainian legislation regarding open access to scientific publications, in-depth text and data analysis, regulation of orphan works, and the right of secondary publication. The third section evaluates the alignment of Ukrainian legislation with open science principles in research assessment and incentivization, recommending a new certification methodology for scientific institutions that balances quantitative metrics with substantive qualitative assessment. The fourth section examines EU policy and legislation on open access to research infrastructure, proposing updates to Ukrainian legislative terminology by introducing concepts such as «open access to research infrastructure» and «research infrastructure register». The final section analyzes the academic integrity draft law from an Open Science policy perspective, offering recommendations for improving specific legal provisions.
Gerenciamento de processos em instituições de ensino superior: um estudo de caso na Pró-Reitoria de Gestão de Pessoas da Universidade Federal Rural do Semi-Árido (UFERSA)
Authors:   , Silva D’hougo Aragonês Amaro da
Published: December 2024

No mundo corporativo, o gerenciamento de processos é tema recorrente, consistindo em uma ferramenta importante no auxílio do mapeamento, na execução e no monitoramento dos desempenhos de processos, com aplicações que vão além do mundo empresarial, alcançando também as instituições públicas. O Gerenciamento de Processos (GP) é uma ferramenta útil à governança pública, com vista à melhoria contínua, necessária para atender as necessidades e expectativas dos beneficiários com maior garantia de qualidade. Imerso nesse contexto, este estudo investiga o gerenciamento de processos em Instituições de Ensino Superior, por meio de um estudo de caso na Pró-Reitoria de Gestão de Pessoas da Universidade Federal Rural do Semi-Árido (UFERSA). O esforço investigativo de caráter qualitativo, com interpretação de dados orientados pela Análise de Conteúdo, com auxílio do software Atlas.ti 7. Foram realizadas entrevistas semiestruturadas dirigidas da área de Gestão de Pessoas, aos quais foram dirigidas questões relacionadas à percepção e conhecimento dos servidores sobre o Gerenciamento de Processos (GP) para o alcance das metas do Plano de Desenvolvimento Institucional (2021 – 2025) da UFERSA. Os resultados mostraram que a maioria dos servidores não detém domínio da técnica de GP, bem como a instituição não dispõe de quadro de servidores suficiente e estrutura adequada para implementar o GP de forma efetiva. Apesar das dificuldades relatadas, a pesquisa mostra que algumas unidades administrativas da UFERSA possuem fases do Gerenciamento de Processos implementadas, a exemplo do mapeamento de processos. Identificou-se ainda que os maiores facilitadores para a implementação do GP na UFERSA é a assessoria prestada por seu Escritório de Processos, a sensibilidade e apoio da alta gestão da universidade. Espera-se que os resultados obtidos possam auxiliar a administração da UFERSA em busca de uma implementação adequada da técnica do Gerenciamento de Processos na área de gestão de pessoas, com melhoria continua e maior efetividade.
Avaliação da eficiência técnica do programa nacional de assistência estudantil do Instituto Federal do Ceará
Authors:   , Silva Autitony Camurça da
Published: December 2024

No contexto brasileiro, a administração pública tem o compromisso legal de utilizar
instrumentos de apoio à tomada de decisão por ocasião da formulação e implementação das
políticas públicas, bem como no monitoramento e avaliação dos seus resultados, para melhorar
a eficiência dos seus programas e projetos, com a consequente realização de melhor entrega em
termos de benefícios para a sociedade. Nestes termos, considerando que o Programa Nacional
de Assistência Estudantil (PNAES), executado pelo Instituto Federal do Ceará (IFCE), não
possui nenhum instrumento ou estudo local realizado com o objetivo de avaliar sua eficiência.
Nesse contexto, o presente trabalho propõe como objetivo geral avaliar a eficiência técnica
do PNAES. Subsidiariamente, se propõe a elaborar uma proposta de intervenção, apontando
ações que possam contribuir para melhorar a utilização dos recursos e a qualidade da gestão e
o controle social do PNAES. Esta é uma pesquisa documental e descritiva, utilizando-se de
critérios de avaliação de análise da eficiência com uso de Data Envelopment Analysis (DEA),
executado por meio do Software Sistema Integrado de Apoio à Decisão (SIAD), e da seleção
de variáveis analisadas por meio de análise de correlação de dados com uso de Excel e do
método Stepwise. Entre os achados, foram identificados dentre as 31 unidades avaliadas, 13
considerados eficientes, que serviram como referência para os campi que não alcançaram a
fronteira de eficiência, e gerando um conjunto de projeções de valores (alvos), sugeridos pelo
DEA, para que os campi obtenham eficiência no uso dos recursos do PNAES, fornecendo
informações essenciais, capazes de orientar os gestores no processo de tomada de decisões,
servindo como instrumento para subsídio de ações do programa na instituição.
A Efetividade do programa nacional de assistência estudantil a partir da percepção das estudantes-mães beneficiárias do auxílio creche na UFERSA Campus Mossoró/RN
Authors:   , Lopes Larisse Raphaely da Silva
Published: December 2024

As recentes políticas públicas de acesso ao ensino superior, bem como a expansão das
universidades públicas, trouxeram mais oportunidades de ingresso aos jovens em situação de
vulnerabilidade socioeconômica. Fato este, que tornou as universidades um espaço mais
diversificado, com estudantes de várias classes e gêneros. Junto à educação, a política de
assistência estudantil deve cooperar para a diminuição dos efeitos das desigualdades sociais,
criando meios que viabilizem a permanência de estudantes em situação de vulnerabilidade
social e econômica nas universidades. Assim, de acordo com a pesquisa realizada, pelo Fórum
Nacional de Pró-reitores Comunitários e Estudantis (FONAPRACE), estudantes do sexo
feminino são a maioria absoluta nas universidades federais, desde a primeira pesquisa. Muitas
dessas estudantes são mães e, precisam de suporte para enfrentar, além das dificuldades
decorrentes da situação de vulnerabilidade socioeconômica, as dificuldades de serem mães e
estudantes. Ante o exposto, este trabalho teve por objetivo avaliar a efetividade do Programa
Nacional de Assistência Estudantil a partir da percepção das estudantes-mães beneficiárias do
auxílio creche na UFERSA. Para tanto, foi realizada uma pesquisa qualitativa e descritiva. A
coleta de dados se deu por meio de pesquisa bibliográfica e entrevista semiestruturada com as
estudantes-mães beneficiárias do auxílio creche da UFERSA e com profissionais lotados na
Pró-Reitoria de Assistência Estudantil (PROAE). Como resultado foi identificado perfil das
estudantes-mães beneficiárias do auxílio creche, suas condições de permanência, quais as
ações de assistência estudantil, direcionadas às estudantes-mães, são executadas na UFERSA,
como são avaliadas essas ações e quais são as possibilidades, limites e desafios da assistência
estudantil, no que diz respeito ao público das estudantes-mães. Foi constatado que mesmo
com todas as limitações, a assistência estudantil é essencial para essas estudantes. Para as
beneficiárias do auxílio creche, sem esse benefício elas não teriam condições de continuar
estudando. Desta forma, percebe-se que mesmo com as suas limitações, as ações de
assistência estudantil, pautadas no PNAES, contribuem para a permanência dessas estudantes-
mães na universidade.
Development of a Novel Mitochondrial Dysfunction-Related Alzheimer's Disease Diagnostic Model Using Bioinformatics and Machine Learning
Authors: Zhang Kuo , Yang Kai , Yu Gongchang , Shi Bin
Published: December 2024

Introduction:

Alzheimer's disease (AD) represents the most common neurodegenerative
disorder, characterized by progressive cognitive decline and memory loss. Despite the recognition
of mitochondrial dysfunction as a critical factor in the pathogenesis of AD, the specific molecular
mechanisms remain largely undefined.

Method:

This study aimed to identify novel biomarkers and therapeutic strategies associated with
mitochondrial dysfunction in AD by employing bioinformatics combined with machine learning
methodologies. We performed Weighted Gene Co-expression Network Analysis (WGCNA) utilizing
gene expression data from the NCBI Gene Expression Omnibus (GEO) database and isolated
mitochondria-related genes through the MitoCarta3.0 database. By intersecting WGCNA-derived
module genes with identified mitochondrial genes, we compiled a list of 60 mitochondrial dysfunction-
related genes (MRGs) significantly enriched in pathways pertinent to mitochondrial function,
such as the citrate cycle and oxidative phosphorylation.

Results:

Employing machine learning techniques, including random forest and LASSO, along with
the CytoHubba algorithm, we identified key genes with strong diagnostic potential, such as ACO2,
CS, MRPS27, SDHA, SLC25A20, and SYNJ2BP, verified through ROC analysis. Furthermore, an
interaction network involving miRNA-MRGs-transcription factors and a protein-drug interaction
network revealed potential therapeutic compounds such as Congo red and kynurenic acid that target
MRGs.

Conclusion:

These findings delineate the intricate role of mitochondrial dysfunction in AD and
highlight promising avenues for further exploration of biomarkers and therapeutic interventions in
this devastating disease.
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

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

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

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).
The Influence of Social Capital on Corn Productivity: Empirical Evidence of Female Farmers in Sumenep Regency, Indonesia
Authors: Deswitanti Anggie Putri , Priyanto Moh. Wahyudi , Nugroho Taufik Rizal Dwi Adi
Published: December 2024

Corn production in Bragung Village, Guluk-Guluk Subdistrict, tends to be fluctuating, but the consumption of corn continues to increase. The fluctuation in corn production is not necessarily due to climate change, which is a hindering factor to achieve 80% of the national corn production contribution. Therefore, efforts are needed to increase corn production by considering social capital through bonding, bridging, and linking roles. The purpose of this research is to determine the influence of social capital on corn productivity in Bragung Village, Guluk-Guluk Subdistrict, Sumenep Regency, Madura. Data collection was carried out through observation and interviews by filling out questionnaires. The research method used is ordinary least squares analysis (OLS) on 71 female farmers selected through simple random sampling. The analysis results show that factors that have a significant and positive influence on corn productivity are bonding, education, and experience. Factors that do not have a significant impact are bridging, linking, age, and sales quantity. Based on the research results, efforts that can be made to increase corn productivity include strengthening relationships, especially in corn farming, such as discussing and helping each other.
Dialogues between picturebooks for children and childhood sciences and cultures
Authors: Asse Roberta
Published: December 2024

This article brings reflections on contemporary children’s literature in dialogue with the childhood views originated in social sciences and in comparative studies of the Portuguese language. These studies are associated to the hearing of children’s voices and to analytical readings of illustrated books. In the field of social sciences, Daniel Goldin’s, David Buckingham’s and Manuel Sarmento’s research works are here imbricated. The titles we examined were selected during a visit to Portugal in 2022, plus the Brazilian work Inês (2015) by Roger Mello and Mariana Massarani, all of them examples of a literary production that comprehends the young reader’s full interpretation and re-creation skills. The analysis of this material composes a critical fortune, contextualized to demonstrate a net of formation agents of multidisciplinary character that are transformed into plurisignificant crafts in dialogue with child cultures.
Resistant starch's effect on blood glucose levels in individuals with prediabetes and diabetes mellitus: A systematic review
Authors: Fitri Nurul , Yazid Syahrul Abdul , Efendi Cahyaningsih , Dewi Yulis Setiya
Published: December 2024

Background: Diabetes ranks among the ten leading causes of mortality. Patients with diabetes who do not effectively manage their condition run the risk of developing severe complications. An appropriate dietary regimen is considered a fundamental aspect of effectively managing diabetes. One potential treatment option for diabetics is resistant starch (RS), which is supposed to control blood glucose levels.

Objectives: The objective of this study is to investigate the impact of resistant starch on food items characterized by a high glycemic index.

Methods: The methodology employed in this scholarly article is a systematic review. A comprehensive search was conducted across five prominent academic databases, namely EBSCO, PubMed, ProQuest, Scopus, and Google Scholar. The search strategy involved utilizing specific keywords, The presentation of the findings in this article adheres to the established guidelines and principles outlined in the Preferred Reporting Items for Systematic Review (PRISMA).

Results: A total of eight statistically significant findings were observed, indicating that the consumption of starches effectively reduced blood sugar levels. The papers utilized genuine experimentation and quasi-experiment approaches within the past five years. Numerous interventions involving resistant starch have demonstrated efficacy in the reduction of blood glucose levels. These interventions include the retrogradation of rice, the consumption of natural starch found in bananas and whole grains, as well as the addition of oil during the cooking process of rice.

Conclusions: The inclusion of different forms of resistant starch in the dietary regimen of individuals with diabetes may be a viable option. However, it is important to acknowledge the significance of incorporating complementary food items in addition to the primary staple foods that are consumed. The utilization of resistant starch has been found to be an effective strategy for reducing blood glucose levels among individuals with diabetes.