bluuebunny/crossref_metadata_2025 huggingface dataset:
Switching extensional and contractional tectonics in the West Kunlun Mountains during the Jurassic period: responses to the Neo-Tethyan geodynamics along the Eurasian margin
Authors: Wu Hong-Xiang , Chen Han-Lin , Zuza Andrew V. , Dilek Yildirim , Qiu Du-Wei , Lu Qi-Ye , Zhang Feng-Qi , Cheng Xiao-Gan , Lin Xiu-Bin
Published: February 2025

Abstract. The Tethyan orogenic belt records a long-lived geological cycle involving subduction and collision along the southern margin of the Eurasian continent. The West Kunlun Mountains, located at the junction between the Tibetan and Pamir orogens within the Tethyan realm, records multiple orogenic events from the Paleozoic to the Cenozoic that shape the northwestern Tibetan Plateau. However, deciphering the complex Mesozoic contractional and extensional tectonics to interpret the broader Tethyan geodynamics remains challenging. To address the tectonic transition following the early Cimmerian (Late Triassic) collision, this study investigates the newly identified Jurassic sedimentary strata and volcanic rocks in the West Kunlun Mountains. Zircon geochronological results of basalts and sandstones reveal that this ∼2.5 km thick package was deposited at ca. 178 Ma, rather than in the previously reported Neoproterozoic age. The alkaline basalts at the top of the formation exhibit chemical compositions similar to oceanic island basalts, consistent with the intracontinental extension environment revealed by the upward-fining sedimentary pattern. Provenance analysis, including conglomerate clast lithologies and detrital zircons, suggests a substantial contribution from adjacent basement sources, likely influenced by the normal faulting during initial rift stage. These findings indicate that the West Kunlun Mountains rapidly transitioned into an extensional setting after suturing with Cimmerian terranes. The regional structure, stratigraphy, and magmatism suggest that the Early–Middle Jurassic southwestern Tarim Basin was subsequently inverted during the Late Jurassic and earliest Cretaceous. We propose that the Mesozoic deformational history in the West Kunlun Mountains was related to the northward subduction of the Neo-Tethys Ocean, as it transitioned from southward retreat to northward flat-slab advancement. Comparing with the entire strike length of the Eurasian Tethyan orogen, we find that the subduction mode varied from the west to the east, reflecting the broad geodynamic changes to, or initial conditions of, the Neo-Tethyan system.
ANALISIS BANGKITAN PERJALANAN BERBASIS RUMAH DI KOTA KENDARI
Authors: Rajulan Muhamad , Maudhy Satyadharma  , Hado Hado , Soeparyanto Try Sugiyarto , Arsyad La Ode Muhammad Nurrakhmad
Published: February 2025

Pembangunan yang dilakukan di Kota Kendari membawa pengaruh pada perkembangan manusia termasuk peningkatan penduduk dan peningkatan jumlah kendaraan. Penelitian ini bertujuan untuk mengetahui dan menganalisis faktor-faktor yang mempengaruhi perjalanan penduduk di Kota Kendari. Penelitian diadakan di Kota Kendari dan telah diadakan pada Bulan Mei 2024. Populasi penelitian ini adalah seluruh masyarakat Kota Kendari sedangkan sampel penelitian berjumlah 400 masyarakat Kota Kendari. Berdasarkan hasil analisis maka dapat disimpulkan bahwa variabel jumlah anggota keluarga, jumlah anggota keluarga yang bekerja, jumlah anggota keluarga yang bersekolah, pendapatan keluarga, kepemilikan mobil dan kepemilikan motor berpengaruh signifikan terhadap bangkitan perjalanan di Kota Kendari. Adapun variabel jarak tempuh dan waktu tempuh tidak berpengaruh signifikan terhadap bangkitan perjalanan di Kota Kendari.
Approaching buyer behavior through the prism of real estate market segmentation in the Republic of Moldova
Authors: Rotaru Olesea
Published: February 2025

In recent years, the real estate market has become increasingly complex and dynamic, continuously evolving and facing multiple challenges and external influences, such as economic factors, demographic changes, technological progress and changes in government policies. At the same time, external factors and challenges also influence the behaviour of real estate buyers, shaping specific preferences in relation to real estate, generating changes in the choice decisions of different segments of buyers. Thus, this study aims to explore the specifics of real estate buyers' behaviour, the factors influencing the real estate purchase decision, real estate market segmentation, presenting buyer types based on the objectives pursued. At the same time, the key elements of the real estate market and the peculiarities of real estate buyers are identified.
Waste recycling as a source of supply for enterprises
Authors: Gangan Andrei
Published: February 2025

The Moldovan economy, as well as the economy, is faced with the problem of supplying the production process with material resources, determined by the increasing human needs on the one hand, and on the other hand by the depletion of natural resources. One possible solution to this problem is to recycle the industrial and household waste generated in society. The recovery and recovery of waste provides economic operators, society and the general public with a number of economic and social benefits.
Current status of research on annual financial statements and tax evasion - bibliometric analysis
Authors: Nistor Florina
Published: February 2025

Financial statements are a major source of relevant information for an analytical approach to detect tax avoidance strategies that affect reported earnings. Therefore, financial statements are prepared to provide a clear, accurate and fair financial position of a taxpayer, so that owners, investors, creditors, the state and third parties are concerned with making decisions about the status and development of the company, based on the information provided in the financial statements.Tax evasion in financial statements involves falsifying an organization's financial statements, such as creating fictitious income, understating liabilities, and misvaluing assets. Through this research, we aim to determine the state of knowledge of research on tax evasion and annual financial statements, the identification of future research trends, the most frequently cited authors in the field, collaboration between research institutions, the co-author network of countries, as well as the most discussed publications from different studies, magazines and countries that address the topic of tax evasion. The publications with the studied thematic reference were retrieved and extracted from Scopus, which is a bibliographic and bibliometric database in online format, including scientific journals, delivered via the Internet Bibliometrix R was used in calculating and visualizing bibliographic information extraction and performing descriptive analysis.
The Social Activity of Russian Youth: Contextual and Psychological Factors
Authors: Efimova Polina , Lepshokova Zarina , Iashina Anastasiia , Popov Evgenii , Titov Aleksandr
Published: February 2025

Despite the existing stereotype about the passivity of Russian youth toward social issues, the realities of modern Russia reveal an opposite trend, which is largely observed within the realm of non-political activity among young people. This study focuses on the social activity of youth, its relationship with social responsibility, and the social context of the country, analyzed through the lens of its perception and attitudes toward it. In terms of perception and attitudes, particular attention is given to examining the role of the perceived «real» and expected «ideal» social contexts, as well as the gap between them in shaping the social activity and responsibility of Russian youth. The study sample included 821 Russians aged 15 to 35 (285 men and 536 women), predominantly from Moscow and Kazan. The research was conducted in 2021 through an online survey. The author’s methodology covered three key areas of social activity: environmental issues, social inequality, and politics. Validated scales were used to assess the perceived and expected social context of the country, as well as the level of social responsibility. The results underscored the importance of the influence of the perceived «real» and expected «ideal» contexts of the country on the level of social activity among youth. Respondents who evaluated the «real» social context of the country as problematic and perceived the state’s approach to issues of environmental protection, social inequality, and politics as insufficient demonstrated higher levels of social activity. At the same time, the expected «ideal» context was not directly related to social activity but influenced it indirectly through social responsibility. Further-more, data analysis revealed that the greater the gap between the perceived «real» and expected «ideal» contexts of the country, the higher the level of social activity among youth.
A Fair Social State as a Value and as a Reality for Russian Citizens (Part 2. Fairness Principles in a Social State)
Authors: Rimskiy Vladimir
Published: February 2025

The article continues the description of a fair social state in our country research results. The research provided certain evidence that the social state development level in Russia is insufficient according to the citizens' opinions and assessments. Russian citizens judge this by the presence of a considerable number of significant problems for them that the state should solve more effectively, as well as by the problems of ensuring fairness by the state in various spheres of life. Focus groups and a mass questionnaire survey showed a significant discrepancy between respondents' assessments of the fairness principles desired and actually applied by the state for several model situations. Correlation analysis based on the mass questionnaire survey data showed very weak statistical links between respondents' assessments of their expectations and reality in the application by the state of all the principles of fairness included in the study, without any exception. Under such conditions, it is almost impossible for both citizens and public authorities, based on the well-known expectations of citizens, to predict how the state should apply the principles of fairness so that they meet the expectations of citizens. If we add to this that support for the principles of fairness varies between generations and other social groups, then it is necessary to recognize this set of problems as very complex and, at the same time, necessary to solve in order to ensure fairness by the Russian state.
Мathematical model of the probability of detection of a point target by the operator of an unmanned aircraft
Authors: Kovalev Olexander , Yadchenko Dmytro , Melnychenko Andrii , Sobyna Vitaliy , Taraduda Dmytro , Panchenko Olexander
Published: February 2025

The paper develops a mathematical model of the probability of detecting a point target by an operator of an optoelectronic device installed on an unmanned aerial vehicle using the Johnson criterion and the binomial law of repeated trials. The purpose of the study is to assess the probability of detecting a target using a sensor system under various external factors. The study considers the impact of various conditions, such as lighting, weather conditions, and sensor system characteristics on the effectiveness of target detection. During the study, a mathematical model was built that allows determining the probability of successful target detection using optoelectronic devices. The model involves using the binomial law to take into account the number of detection attempts and applying the Johnson criterion to increase accuracy. This approach allows taking into account factors that reduce detection efficiency, and also allows optimizing the sensor operating parameters depending on operating conditions. The results of the study showed that with optimal sensor parameters and environmental conditions, the probability of successful detection can be significantly increased. Modeling various scenarios allows obtaining a more accurate estimate of the probability and reducing the probability of errors. These data are important for improving detection technologies, allowing for more efficient sensor tuning, which improves the accuracy and reliability of the system. The results obtained have important practical significance for optimizing the use of optoelectronic systems in unmanned aerial vehicles. This model makes it possible to minimize the risks of false positives and increase the accuracy of target detection in real conditions. Such a development is useful not only for the defense sector, but also for civilian applications, such as environmental monitoring and security.
Silicophosphate fireproof coatings for building finishing materials
Authors: Lysak Nataliia , Skorodumova Olga , Chernukha Anton , Sharshanov Andrew , Goncharenko Yana , Shcherbak Serhii
Published: February 2025

The composition of silicophosphate composition based on liquid glass for fire protection of building finishing materials has been developed. The compositions were prepared by mixing aqueous solutions of liquid glass and acetic acid with the addition of phosphate buffer solutions with a pH of 6–8. The phase composition of the experimental compositions was investigated by infrared spectroscopy and the formation of Si–O–P bonds was established, which indicates the incorporation of phosphate ions into the siloxane framework of polysilicic acid gels. It was established that the polycondensation mechanism is influenced by the pH value of the phosphate buffer solution, as well as its content. The use of a buffer solution with a pH of 6 leads to the initialization of mainly net polycondensation in liquid glass sols. Increasing the pH to 7–8 ensures linear polycondensation of polysilicic acid, which increases the homogeneity of the gel coating, provides elasticity, and increases its fire-retardant effect. Conducted fire tests showed that the best fire-resistant properties have systems with a buffer solution content of 20–25 % with a pH of 7, which provide maximum resistance to fire and minimal loss of mass of samples during exposure to high temperatures. For such compositions, the 1st group of flame retardant efficiency is established, and the treatment of wood samples with them allows the material to be transferred to the "high-flammability" group. Extruded polystyrene samples covered with the developed compositions do not burn, the absence of burning drops is noted. The obtained results emphasize the prospects for the further development of such systems for the protection of building materials.
Оptimization of the composition of neutral gases for fire extinguishing in museum reservoirs
Authors: Ostapov Kostiantyn , Chaplyhin Oleksii , Lisniak Andrii , Hrytsyna Ihor , Shevchenko Serhii , Kryvoruchko Yevhen
Published: February 2025

An effective fire extinguishing system has been created for extinguishing fires in museum warehouses with a mixture of neutral gases that do not distort museum artistic values and are able to compete with the best foreign examples of volumetric gas fire extinguishing systems. The proportion of the gas mixture consisting of argon, nitrogen and carbon dioxide has been optimized for fire extinguishing of museum art treasures. Taking into account the requirements of the Montreal Protocol on substances that deplete the ozone layer, an analysis of the state of the issue and the specifics of the solution to the problem of gas extinguishing fires in art museums and their fund storages was carried out. The direction of improvement of the existing automatic volumetric fire extinguishing installations with neutral gases has been determined. An effective and relatively inexpensive composition of a mixture of neutral gases has been developed for use in volume extinguishing of possible fires in fund repositories and museums, which ensures the preservation of material and artistic-aesthetic values without their distortion. Volume fractions of two mixtures of neutral gases № 14 (CO2=50 %, N2=40 %, Ar=10 %) and № 15 (СО2= 40 %, N2=50 %, Ar=10 %) were determined, which are close by its composition and have the best fire-extinguishing efficiency indicators in terms of extinguishing time of the model fire 4.6 s and 4.8 s. A test laboratory stand was created, as an analogue of a volumetric gas fire extinguishing installation with a mixer of the components of the proposed working mixture of neutral gases, on which the indicators of the effectiveness of extinguishing model fires were worked out when extinguishing samples of various fragments of artistic underdrawings on parts of line and Whatman. The technical parameters of the working chamber of the laboratory stand are substantiated, and the rational ratio of pressures filling the stand mixer with components of a mixture of neutral gases is recognized based on its mathematical model, which makes it possible to improve existing industrial installations of various sizes. The price reduction of the proposed neutral gas is justified.
Desafios e tendências na atuação dos empreendedores digitais da área da enfermagem
Authors: Fontana Rosane Teresinha , Junior José Antonio Barboza , Rodrigues Francisco Carlos Pinto , Graube Sandra Leontina
Published: February 2025

O empreendedorismo na área da enfermagem é abordado como uma habilidade que envolve a concretização criativa de ideias, visando alcançar objetivos pessoais ou empresariais por meio de sinergia e inovação. Este estudo teve o objetivo de identificar desafios e tendências do empreendedorismo digital na área da enfermagem e se justificou ao pretender dar visibilidade à inovações na área da enfermagem, compreendendo como os profissionais se inserem e rentabilizam nas mídias sociais, e expressar a viabilidade e rentabilidade do mercado de mídias digitais para a enfermagem. Os participantes foram empreendedores da enfermagem atuantes em plataformas como Facebook, Instagram e YouTube e Tik Tok. A coleta de dados foi realizada por meio de um questionário online e para a análise de dados, foi utilizada a metodologia da Análise de Conteúdo. A coleta de dados desenvolveu-se mediante aprovação do estudo, pelo Comitê de Ética em Pesquisa da Universidade Regional Integrada do Alto Uruguai e das Missões, campus Santo Ângelo. Participaram do estudo 16 profissionais. A maioria dos participantes são formados entre cinco e dez anos e trabalham com mídias digitais de um a três anos. A plataforma mais usada é o Instagram e, cursos e treinamentos são os serviços mais divulgados no seu cotidiano. Grande parte dos respondentes acredita ser possível crescer nesta área. Diante dos resultados pode-se concluir que o empreendedorismo digital surge como uma alternativa viável e promissora para a enfermagem.
Evaluation of Larvicidal Potential of Streptomyces extracts against Aedes Aegypti (Diptera: Culicidae)
Authors: Sharif Muhammad Anees , Raza Faiz Ahmed , Sajid Imran
Published: February 2025

Chemical pesticides are the main way to control mosquito population, but they are toxic to non-target organisms and have limited effectiveness against resistant mosquitoes. Actinobacterial metabolites are highly toxic, and their potential can be explored for alternative environment friendly insecticides. The current study evaluated methanolic crude extracts of 49 actinobacteria strains isolated from the Cholistan desert, Pakistan, for their larvicidal potential against fourth instar Aedes aegypti larvae. The extracts of five Streptomyces strains, including CD4-2, CD13-1, CD-1-1, CD13-6, and CD13-22, exhibited prominent larvicidal activity with LC50 values of 187.4, 188.8, 190.2, 190.4, and 282.8ppm, respectively, after 24 hours of exposure. This larvicidal potency was further increased to 97.8, 104.5, 113.5, 107.4, and 108.1ppm, respectively, after 48 hours of exposure.Additionally, 25 isolates exhibited antibacterial activity against drug resistance bacterial pathogens including Staphylococcus epidermidis, Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Enterobacter species. The thin-layer chromatography analysis indicated the presence of compounds from different structural classes such as quinones, indole, flavonoids, terpenes, N-hetrocycles and actinomycins etc in the extracts. The findings in this study indicate that Streptomyces isolated from extreme environments such as deserts harbor significant larvicidal potential against dengue vectors. Additionally, these strains exhibit antibacterial activity against common human pathogens.The large-scale cultivation, solvent extraction and purification of the compounds from these Streptomyces strains may help to develop eco-friendly larvicidal compounds for controlling dengue vector.
Knowledge Management Model for Managing Public Health Interventions, Policy, Procedure, Governance, and Technology Innovation in Indonesia COVID-19 Mitigation
Authors: Mardhani Riasetiawan, Ahmad Ashari
Published: February 2025

The COVID-19 pandemic has highlighted the need for efficient knowledge management systems that leverage big data to enhance public health responses. This study focuses on developing a knowledge management framework to support COVID-19 mitigation efforts across diverse regions in Indonesia, specifically in Purwokerto, Samarinda, Medan, and Yogyakarta. By utilizing a big data approach, we aggregated and analysed vast datasets, including public health interventions, policy, procedure, governance, and technology innovation, to provide actionable insights for decision-makers. The proposed knowledge management framework organizes information into accessible formats, allowing health officials to respond rapidly to evolving conditions. The findings underscore the importance of integrating big data into knowledge management systems for improved resource allocation, public health communication, and policy formulation in response to future health crises. This framework provides a replicable model for other regions and pandemics, showcasing the potential of big data to enhance resilience in public health systems.
Comparative Analysis of Low Noise Amplifiers (LNA) Fabricated from GaAs,GaN, InP, SiGe , BiCMOS ,CNFET, Silicon for High-Frequency Applications
Authors: Maulik Patel
Published: February 2025

An analysis of Low Noise Amplifiers (LNAs) fabricated from Gallium Arsenide (GaAs), Gallium Nitride (GaN), BiCMOS, Silicon Germanium (SiGe), Silicon and Indium Phosphide (InP) is presented.  Performance parameters, including S21(gain), noise figure (NF), 1dB compression power (P1dB), and stability are studied over various frequency bands. With the help of a comparative graph, the advantages and disadvantages of the various materials are compared, showing the advantages in different communication systems in different frequencies.
A Hybrid Approach to Data Classification in Cloud Storage: Leveraging AES and Runge-Kutta for Optimal Security
Authors: Bharath Kumar Rama
Published: February 2025

Secure data classification is crucial in hybrid cloud computing environments, where sensitive data may be transmitted across both private and public cloud infrastructures. This paper introduces a novel approach for secure data classification tailored to hybrid cloud settings, aiming to protect sensitive information while harnessing the advantages of hybrid architectures. The proposed method integrates cryptographic techniques, specifically AES encryption combined with the Runge-Kutta algorithm, to classify data according to its sensitivity and implement appropriate security measures. The approach entails encrypting sensitive data prior to transmission, applying fine-grained access controls that restrict data access based on classification levels, and utilizing machine learning models for automated data classification. Experimental results indicate that the AES + Runge-Kutta method achieves an encryption time of 231.21 ms and a decryption time of 219.87 ms for a 10MB file. Evaluations demonstrate the approach's effectiveness and efficiency in safeguarding sensitive data within hybrid cloud environments while minimizing performance overhead.
A Secure Cancelable Fingerprint Authentication for Cloud Services
Authors: Narender. M
Published: February 2025

Traditional password-based authentication systems create difficulties for users while remaining vulnerable to security breaches. The solution under consideration establishes biometric-based cloud service access, which enables users to terminate their services whenever needed. The minutia cylinder code is a great local descriptor for fingerprint authentication in public databases. It meets security needs and protects privacy, while still using the advantages of biometric technology. The cancelable fingerprint template design has two key parts: a simple way to create cancelable features and a method for making adjustable, partial cancelable features. The first part employs encoding-nested-difference (XOR), while the second part contains a basic reindexing procedure. The implementation of the proposed template design has led to reduced public database storage requirements and time needs on FVC2002 DB1–DB3 and FVC2004 DB1–DB3, with a 0.21% false acceptance rate and a 0.2% improved EER, and TPR/TNR stood at 99% throughout testing. The system delivers improved security because both stolen biometric templates become useless along with the addition of new biometric samples during re-enrolment. The system implements multi-factor authentication by combining cancelable biometrics with multiple factors. The performance study demonstrates exceptional accuracy combined with minimum false acceptance and rejection rates, which makes it a good means for secure cloud access.
Exploring the Challenges Faced by Organisations in Developing Countries During Information Systems Implementation: A Multi-Sector Study of Semi-Autonomous Organisations in Guyana
Authors: Dave Sarran
Published: February 2025

Information Systems (IS) implementation is challenging worldwide, and developing countries are no exception. IS implementation research within Latin and South America is limited. This study investigates challenges to IS implementation for public-private organizations in Guyana, South America. Data collection was through structured interviews with 12 IT practitioners from six organizations. Thematic analysis identified five major themes and 17 sub-themes. Common issues, consistent with those identified in the literature, include shortage of manpower, unreliable utilities, outdated technological infrastructure, and ineffective change management upon implementation. The issues that are more uniquely Guyanese in nature were heavy reliance on outsourcing and workplace culture influences. This is a reinforcement of how local conditions can increase IS implementation challenges and make Guyana's experience different from those previously documented. The study will, therefore, be very useful in guiding practitioners and policymakers in evolving more effective IS strategies and policies tailor-made for the realities of developing nations. For practitioners, these findings will impress the need to develop capacity building, better management of vendors, and an organizational culture that is adaptive rather than fixated on dependence on outsourcing. These insights may be useful for policymakers in developing supportive policies, investments in digital infrastructure, and programs enhancing the local skills base. The research informs future IS implementations through practical recommendations that adapt the strategies of tailoring to unique developing country realities, consolidating their sustainable development and effective public-private collaboration.
Lithogeochemical Characterization and Alteration Model to Determine its Implication in the Controls of the Mineralization of the VMS Cerro Lindo Deposit
Authors: Maylin Marisel Mendoza Mondragon
Published: February 2025

The objective of this study is to characterize, using lithogeochemistry, the magmatic series and the enclosing rock that took place in the formation of the Cerro Lindo VMS; At the same time, alteration lithogeochemistry was performed to determine the relationship between mineralogy, lithogeochemistry and intensity of alteration, obtaining as a result, vectors towards the center of the system. The primary purpose is to bring this 2D information from the lithogeochemical diagrams to a 3D approach, and thus establish correlations with other mineral occurrence controls (structural, geophysical, geochemical, and lithological). From the analysis and interpretations it was determined that Cerro Lindo belongs to a calc-alkaline magmatic series with high K content, the box rock definitely corresponds to felsic volcanic with degree of differentiation from andesite to rhyodacite according to the degree of proximity to economic zones; that is to say, the deposit is located in the oldest bimodal felsic level of the Casma basin, and it is these first stages of rupture that are usually better enriched in economic mineralization contents, mainly of base elements, followed by the presence of Ag*-Au, It is precisely this location that makes it much more powerful than the other VMS in the area. The SerK+ChlFe (Py) alteration halo has greater potency and dominance in deep, lower-angle faults, which have brought economic Zn-Cu mineralization (NW-SE and NE-SW), faults related to high- grade bodies and to high chargeability areas; while the shallow NW-SE faults, with greater angles, which bring low-grade mineralization and related to low chargeability edge bodies, would correspond to the Ser-Chl alteration and towards the most distal zones of the system, the SerNa-Chl alteration appears. Chl Mg.
Synthesis of Synergist Antioxidant by Greener and Economical Methods
Authors: Rohan Kunder
Published: February 2025

Various types of antioxidants are useful in industries for stabilization of dispersions and other formulations. With the increase in demand for the synthesis of new antioxidants the methods for the synthesis of these antioxidants have also become equally important. The antioxidant Propanoic acid 3-(dodecylthio)-,oxybis (2,1-ethanediyoxy-2,1-ethanediyl) ester is the one which prevents the tanning and decomposition  of the latex moreover it acts or enhances the antioxidant properties when combined with other phenolic antioxidant. The economical and cost-effective way of synthesis is mentioned in the paper.
Transfer Learning with EfficientNetB3 and ResNet50V2 For MPox Detection
Authors: G.Gopichand
Published: February 2025

Introduction: Monkeypox (MPox) is a continuing global public health concern for zoonotic disease. Accurate and prompt diagnoses of MPox are key to programmatic disease control. Established key diagnostic modalities are resource intensive, requiring technology and facilities, clinical examination and laboratory testing are thus time-consuming. Conversely, machine learning and deep learning techniques provide fast and automatic diagnostic solutions.
Objectives:To diagnose monkeypox from clinical imagery this work proposes a transfer learning-based method utilizing the EfficientNetB3 and ResNet50V2 models. These models go very well with image classification and prediction. Although this approach is intended to be useful for therapeutic usage in the detection of monkeypox at low resources and inadquate healthcare facilities. This research demonstrates how transfer learning can be utilized to implement pre-trained models for Monkeypox detection with high accuracy thereby reducing the necessity of fully labeled datasets.
Methods: Using transfer learning, this study explores two pre-trained efficient model architectures – EfficientNetB3 and ResNet50V2, to classify skin lesion images exhibited in MPox. Pre-trained on large scale datasets, these models are fine-tuned using the Monkeypox Skin Lesion Dataset (MSLD) v2. 0 to improve prediction accuracy. Simple rotating, scaling, scaling, brightness adjustment, and other methods are used for data augmentation to enrich the dataset and promote generalization. Convolutional neural network is a deep learning architecture which, especially transfer learning based network, significantly improves detection and robustness of MPox with high accuracy and less qualification of the data set labels.
Results: The results of this study demonstrate that deep learning—more especially, transfer learning—can be an effective instrument for managing and detecting outbreaks of monkeypox early on, perhaps leading to better patient outcomes and less strain on healthcare systems. It is essential to combine cutting-edge transfer learning techniques with well-established deep learning algorithms to increase prediction accuracy and clarify the complexities of the ongoing worldwide monkeypox outbreak. Our work presents novel approaches to address this significant health issue while highlighting the ongoing significance of ground-breaking methods. Our proposed models with accuracy of 0.89 and 0.99 have outperformed the existing models in MPox detection.
Conclusions: The suggested transfer learning architecture outperforms the most recent models in terms of MPox detection capabilities. Better early MPox identification, more effective treatment planning, and ultimately better patient care could be the outcomes of these developments.
Leveraging Green Supply Chain Management for Ambidextrous Innovation: The Mediating Role of Information Technology Absorptive Capacity
Authors: Bassam Moosa Najim
Published: February 2025

This research proposes the following narrative: How does green supply chain management (GSCM) influence Ambidextrous Sustainable Innovation, with attention to the moderating function of IT absorptive capacity? Specifically, manufacturing SMEs in Iraq were chosen for this study, and questionnaires were distributed among 39 companies through a convenient cluster sampling strategy aimed at top management. By applying PLS-SEM, this study provides empirical evidence that GSCM enhances the enactment of exploitative and exploratory innovation. Also, IT Absorptive Capacity fully mediates this relationship, thereby emphasizing the firm’s competencies to acquire, transform, and exploit IT knowledge to maximize on GSCM. The results presented here provide important strategic insights for SMEs recommending that developing IT capabilities can improve the effectiveness of GSCM efforts to achieve a sustainable innovation perspective. From this research, the knowledge of implementing environmental sustainable strategies with robust IT networks to foster growth, focus innovation, and competitiveness in emerging markets is extended.
Analysis of Factors Influencing User Intentions of Online Loan Services
Authors: Thomas Hardy
Published: February 2025

In recent years, online loan services (fintech lending) have experienced rapid growth in Indonesia. Ease of access, fast disbursement process, and minimal requirements make this service increasingly popular among the public. However, behind this convenience, various problems arise such as high interest rates, risk of default, and low user financial literacy. Therefore, it is important to understand the factors that influence user intentions in using online loan services. This research uses the TAM method.  Then the sampling technique that will be used by the author is simple random sampling where the author will take samples randomly without paying attention to the strata in the population. In the research carried out the author used the SEM statistical method or what is known as Structural Equation Modeling. The research results show that the variable with the greatest influence is Perceived Trust (PT) on Perceived Usefulness (PU) with a score of 14,300. The second largest is Perceived Privacy (PP) against Intention to Use (ITU) with a score of 6,577. On the other hand, the smallest influence is Perceived Innovativeness (PI) on Attitude (ATT) with a score of 0.130.
Impact of Skull Segmentation in MRI images for Alzheimer’s Diagnosis based on Transfer Learning Techniques
Authors: ZS. Khaleel
Published: February 2025

This study aims to investigate how the process of skull stripping improves the performance of artificial intelligence models to predict early Alzheimer's disease through magnetic resonance imaging of the patient. The skull stripping process presented in this research was developed using thresholding, morphological, and U-net pre-trained transfer model on magnetic resonance imaging.  The experimental results confirmed that the use of the skull stripping process can significantly improve the efficiency of Alzheimer's detection via VGG16, Inception, DenseNet121, and ensemble model ResNet+Bilstm. Using skull stripping using deep learning techniques with thresholding and morphological operations produced a very clear improvement over the AI models used in this research as follows: accuracy, f1 score, and Area under curve (AUC) were improved respectively to 99.5%, 95%, and 99% for ResNet+BILSM,  up to 99.6%, 95.7%, and 99.14% for VGG16, enhance as 91%, 92.4%, and 95.47% for Inception, and improve DensNet121resultes as 79.5%, 82.2%, and 95.51%.
The Impact of Geopolitical Risks on Global Supply Chains
Authors: Ihor Smyrnov
Published: February 2025

Introduction: In today's changing world, understanding the impact of geopolitical risks on global supply chains is key to ensuring their efficiency and sustainability. Geopolitical events of recent years in the form of international conflicts, political changes, European economic sanctions and even natural disasters have a significant impact on global transport networks, causing various challenges and obstacles.
Objectives: The purpose of the article is to analyze the impact of such geopolitical risks on global supply chains, identify the main problems faced by companies, and develop strategies to overcome them.
Methods: The basis of the research was academic works, official reports of governmental and international organizations, as well as analytical publications from leading economic institutes.
Results: The article highlights the results of a complex study, which includes the analysis of academic sources, international reports, economic indicators, technological trends and regional features. It found that disruptions in supply chains due to geopolitical risks can have serious consequences, from increased costs and delivery delays to production shutdowns. The study points to the need to implement flexible and adaptive management strategies for intercontinental logistics systems that allow a quick response to changes in the geopolitical space. The key area of research is effective management of global supply chains in conditions of geopolitical uncertainty, which requires the integration of various approaches and technologies.
Conclusions: The obtained results provide a valuable tool for strategic planning and decision-making in the field of transnational logistics restructuring, helping commercial companies to prepare and adapt to potential geopolitical changes.
Jarcho Levin Syndrome with open neural tube defect: A case report
Authors: Ali Md Mokarram , Kadian Yogender Singh , Ejaz Saima , Kadian Arnav
Published: February 2025

Background: Jarcho Levin syndrome is a rare genetic disorder characterized by spine abnormalities and the absence of ribs. It is associated with various congenital malformations and carries significant morbidity and mortality. The simultaneous presentation of this syndrome with neural tube defects is seldom encountered.
Case Presentation: We report a case of a 2-day-old male who presented with a lesion on his back since birth. Clinical and radiological examinations revealed thoracolumbar meningomyelocele with the absence of upper ribs on the right side and a patent foramen ovale. Subsequently, the patient underwent surgery for meningomyelocele, while the rib anomalies were managed conservatively.
Conclusion: Jarcho Levin syndrome is a rare disorder, and its association with meningomyelocele is extremely uncommon. It should be considered in the evaluation of a patient with a neural tube defect and respiratory distress.
Characterization and outcomes of gastroschisis in two institutions of a middle-income country in Cali, Colombia, between 2018 and 2022
Authors: Torres-Muñoz Javier , Figueroa-Gutierrrez Luis Mauricio , Correa Mariana Angel , Torres-Figueroa Sofia , Ibarra Mera Jose Feliz
Published: February 2025

Background: Gastroschisis is the most common congenital defect of the abdominal wall. Its incidence has increased by 2 to 10 times worldwide. However, morbidity and mortality rates vary between high-, medium-, and low-income countries.
Methods: This is an observational, cross-sectional study aimed at establishing the prevalence of gastroschisis in babies admitted to the intensive care units of the Clinica Versalles and the Hospital Universitario del Valle (HUV). Additionally, it is analytical, as it seeks to identify the clinical and surgical factors associated with the mortality of these neonates. Data were collected based on the information already recorded in the clinical histories of patients born or referred to these institutions between January 2018 and June 2022.
Results: Fifty-six (56) babies were evaluated, with a birth rate corresponding to 1/1,000 live births. Of these, 35.70% were born to mothers under 19 years old, 55.36% came from municipalities other than Cali, and 91.07% were born at a gestational age greater than 32 weeks. Additionally, 58.90% were girls, with a median weight of 2,167 g (range: 1,440–3,240 g). Among the evaluated babies, 25% presented with complicated gastroschisis, and 44.64% had other malformations. The association between mortality outcomes and clinical factors showed that invasive mechanical ventilation for longer than 7 days increased the probability of death by 7.94 times, sepsis by 8.35 times, pulmonary hypertension by 7.14 times, acute kidney injury by 8.87 times, and pneumonia by 7.14 times. The surgical factors significantly associated with mortality were abdominal compartment syndrome (13.67 times), staged closure (9.17 times), more than two surgical interventions (7.80 times), failure to achieve closure (30.71 times), post-surgical complications (5.29 times), and intestinal ischemia (43 times).
Conclusion: The rate of gastroschisis in this study is notably higher than that reported in other countries, with a substantial number of clinical and surgical complications significantly associated with mortality. Key factors influencing mortality include prolonged invasive mechanical ventilation, sepsis, pulmonary hypertension, acute kidney injury, and pneumonia. Surgical factors such as abdominal compartment syndrome, staged closure, multiple surgical interventions, failure to achieve closure, post-surgical complications, and intestinal ischemia also greatly increase the risk of death.
Application of Machine Learning Algorithms For Predicting Surgical Outcomes in Neonates
Authors: Pal Tarun , Chandrakar Kunal
Published: February 2025

This study investigates the application of machine learning algorithms to predict surgical outcomes in neonates. By analysing clinical and demographic data from neonatal surgical cases, we developed predictive models using various machine learning techniques. The goal is to assist surgeons in making more informed decisions and improving patient care. The results demonstrate that machine learning models can significantly enhance the accuracy of predicting surgical outcomes, offering valuable insights into optimizing neonatal surgical practices. Despite some limitations, this research highlights the potential of machine learning in advancing neonatal surgery.
Optimizing pediatric medication therapy: evaluating the impact of clinical pharmacy services on health outcomes in children
Authors: Sharma Saurabh , Kumar Sahu Mahendra
Published: February 2025

The physical, mental, emotional, spiritual, and social well-being of children is the focus of child health. Even in traditional Indian society, child health has been given a prominent position. Children in India are subject to a significant level of sickness, malnutrition, and death despite the introduction and periodic implementation of numerous programs for their benefit. Malnutrition in children in India is found to be fairly high in relation to the morbidity rate. There are currently indications that the state of child health in India is improving. Over the past few decades, the nation has implemented numerous policies, tactics, and programs that have contributed to this improvement. A thorough analysis of the literature revealed that research on the health status of children mostly relied on concentrating on child mortality, morbidity, and nutrition. It should be mentioned that the health of children is not solely dependent on the medical care given to them during the neonatal or postnatal periods. The health of the kid is also greatly influenced by antenatal care and intranatal facilities. Child health is also significantly influenced by the mother's general health, her knowledge of personal and child care, and her health care habits.
Antidiabetic Potential of Emodin in Streptozotocin-Induced Type-2 Diabetic Rats
Authors: N Niveditha , D Rohini , B Usharani , C Shobana
Published: February 2025

Diabetes mellitus, particularly type 2 diabetes, is a growing global health issue, often exacerbated by insulin resistance, metabolic disturbances, and inflammatory responses. Emodin, a natural anthraquinone derivative, has been widely recognized for its pharmacological properties, including its antidiabetic potential. This study investigates the therapeutic efficacy of emodin in ameliorating Type 2 diabetes in Wistar albino rats induced by streptozotocin (STZ). Male rats were divided into healthy, diabetic, and treatment groups, with diabetic groups receiving emodin (40 mg/kg body weight/day, orally) or metformin for 45 days. Diabetes induction was confirmed by elevated blood glucose levels, altered lipid profiles, and reduced insulin sensitivity. Emodin administration significantly reduced fasting blood glucose levels and improved glucose tolerance, comparable to metformin treatment. Biochemical analyses revealed that emodin restored the lipid profile, enhanced antioxidant enzyme activity, and suppressed oxidative stress markers in diabetic rats. The study revealed that emodin exhibited antidiabetic effects by regulating glucose metabolism, enhancing insulin sensitivity, and reducing oxidative stress. Data expressed as mean ± SEM showed significant differences (p<0.05) among control, diabetic control, emodin-treated, and metformin-treated groups. Emodin treatment notably improved glucose metabolism and outperformed metformin in reducing insulin resistance. These findings highlight emodin's potential as a therapeutic agent for Type 2 diabetes by targeting insulin resistance, inflammation, and metabolic dysregulation. Emodin holds promise for managing diabetes and its complications effectively.