bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into Thymoquinone: A Comprehensive Review of its Neuroprotective Effects in Chemotherapy-induced Neurotoxicity
Authors: Segmani Ibtihal , Banid Afaf , Ghicha Ikram , Rahmoune Imane , Filali Houda 
Published: January 2025

Abstract:
Chemotherapy-induced neurotoxicity is a common side effect experienced by cancer
patients, leading principally to cognitive impairment or chemofog (CICI) and peripheral neuropathy
(CIPN). In recent years, there has been a significant increase in the investigation and exploration
of the nutritional values, health benefits, and biological actions of natural products and their
bioactive compounds. Thymoquinone (TQ), a bioactive compound extracted from Nigella sativa,
has attracted considerable interest due to its neuroprotective activities. This review comprehensively
analyzes TQ’s mechanisms in reducing chemotherapy-induced neurotoxicity, primarily by
regulating oxidative stress, inflammatory responses, and apoptosis. Furthermore, this review discusses
the synergistic effects of TQ when used in combination with certain anticancer drugs, enhancing
both neuroprotection and overall treatment outcomes. While substantial preclinical data
support TQ’s effectiveness in mitigating acute neurotoxicity, its impact on chronic neurotoxicity
remains insufficiently studied. Thus, further preclinical investigations are imperative to evaluate
TQ’s potential in addressing chemotherapy-induced chronic neurotoxicity.
Exploring the Therapeutic Potential of TROP2 Gene Silencing in Hepatocellular Carcinoma
Authors: Yakoub Fatma , Hassan Hanem , Mamdouh Samah , Aboushousha Tarek , B. Rashidi Fatma , El- Desouky Mohamed A. 
Published: January 2025

Background:
Trophoblast Cell Surface Antigen 2 (Trop2) is a transmembrane
glycoprotein that has been implicated in the progression and metastasis of various
cancers, including hepatocellular carcinoma (HCC). Targeting Trop2 expression may
represent a promising approach for the development of novel therapeutic strategies.

Objectives:
This study aimed to investigate the effects of Trop2 knockdown using small
interfering RNA (siRNA) on the phenotypic and molecular characteristics of the HepG2
liver cancer cell line.

Methods:
HepG2 cells were transfected with different concentrations of Trop2-targeting
siRNA (3 nM, 5 nM, and 7 nM) at various time intervals (6, 24, and 48 hrs). The expression
of Trop2 was assessed by real-time PCR before and after transfection. The impact of
Trop2 knockdown on cell apoptosis, migration, morphology, histopathological features,
wound-healing assays, and microscopic analysis was examined. Additionally, the expression
of the TPM1 gene was evaluated using immunohistochemical analysis.

Results:
Trop2 mRNA level was significantly decreased in HepG2 cells in a time- and
concentration-dependent manner following siRNA transfection. The downregulation of
Trop2 resulted in a marked increase in apoptosis, a reduction in cell migration, and alterations
in cell morphology and histopathological characteristics. Furthermore, the expression
of the TPM1 gene was found to be upregulated in Trop2-knockdown HepG2 cells.

Conclusion:
These results highlight the potential of Trop2 as a therapeutic target for the
management of hepatocellular carcinoma.
Morphological, Physical and Chemical Characteristics of Soils under Three Geological Formations in some Parts of Ogun State, Nigeria, and their Agricultural Potentials
Authors: Ajayi Grace Atinuke , Adekiya Aruna Olasekan , Oyegoke Clara , Ajiboye Godwin Anjorin , Ejue Wutem Sunny 
Published: January 2025

Background:
Understanding soil characteristics is crucial for optimizing soil health, agricultural productivity, and implementing effective soil management practices.

Objective:
The objectives of this study were to characterize the morphological, physical and chemical properties of the soils, developed on three different geological formations.

Methods:
The study was conducted in the three geological formations, viz; Basement complex rocks, Coastal Plain Sand and Ewekoro Formation. Soil samples were collected from the pedogenic horizons of each profile pit and replicated into well-labeled polyethylene bags. The profile pits were described morphologically and soil samples were analyzed for their physical and chemical properties.

Results:
The results indicated that there were no significant physical constraints hindering agricultural activities in the studied areas. Based on the mean values across geological formations, the soils exhibited favorable pH levels, total nitrogen content, soil organic matter, and exchangeable cations, all of which were conducive to crop production. However, the availability of phosphorus was found to be inadequate. Furthermore, the chemical properties of the soils were ranked in the order of basement complex > coastal plain sand > Ewekoro formation, and upper slope > middle slope > lower slope.

Conclusion:
The soils require fertilizers that are deficient in nitrogen and potassium but rich in phosphorus, to optimize crop growth and productivity. To sustain soil fertility, a comprehensive soil management approach is recommended, which includes the incorporation of both organic and inorganic amendments. Effective practices for managing organic residue and promoting cropping systems such as crop rotation and intercropping, especially involving legumes, are essential. These strategies can help maintain soil fertility over time. Additionally, regular soil tests for fertility evaluation are crucial and should be conducted every two years, particularly after continuous cropping.
Evaluation of Oil Quantities in Oleaginous Filamentous Fungi in UAE Wetlands: Potential Precursors of Next-Generation Biofuel
Authors: Merheb Maxime , Matar Rachel , Soleimani Milad , Marton John , Al Zouabi Hussain , Abou Youssef Kamel , Hodeify Rawad , Vazhappilly Cijo George 
Published: January 2025

Background:
Several studies have suggested that the next-generation biofuels could be produced from the lipids stored by oleaginous fungi. In these microorganisms, lipids are stored as triglycerides (biofuel precursors) converted to fatty acid mono alkyl esters. Fungal growth is very fast and is not impacted by seasonal, climate, and space variations as opposed to plants and animals. Fungi from mangrove ecosystems have not significantly been studied for oil production despite being the second largest group of marine fungi.

Methods:
In the present study, we have analyzed soil samples from mangrove wetlands in Ras Al Khaimah, United Arab Emirates (UAE), for the presence of oleaginous fungal species. We have further characterized the isolated fungi through visual identification and assessed their oil content by gravimetric analysis. In addition, lipid accumulation was examined under fluorescent microscopy.

Results:
A. flavus was estimated to accumulate 25.21% (w/w) while A. niger accumulated 24.34% (w/w) of their dried biomass as lipids.

Conclusion:
The percentages of oil content of the filamentous fungi, A. flavus, and A. niger indicate that these microorganisms are promising sources of next-generation biofuels.
In vitro Antifungal Activity of Streptomyces Spp. against Different Barley Pathogenic Fungi
Authors: Akeed Yasser , Arabi Mohamad Imad aldine , Albatarni Amer , Aljahjah Mohammed , Bakri Yasser 
Published: January 2025

Background:
Microorganisms and their biological products have been used as a biological control against many pathogenic. Streptomyces spp. are one of the microorganisms that can be deployed in the field as biological control of plant pathogenic fungi as an alternative to chemical pesticides.

Objective:
In this study, one hundred twenty-four isolates of Streptomyces spp. from Syrian soils were in vitro screened for their ability to inhibit the growth of various barley pathogenic fungi: Cochliobolus sativus, Pyrenophora graminea, Fusarium verticillioides, and Fusarium solani.

Method:
Streptomyces isolates which showed the highest antagonism activity for each fungus were selected.

Results:
The inhibition rate of fungal growth by the selected strains ranged between 51 and 67%. The growth inhibition of the fungus F. solani was 51% when S. malachitofuscus Str69 strain was used, compared with 67% for C. sativus by the Str74 strain. The selected Streptomyces isolates showed their production of hydrolytic enzymes that had a role in the antagonistic activity against fungi, particularly the enzymes chitinase and glucanase. The cell-free supernatants effectively inhibited the growth of the fungi, where they reduced C. sativus, P. graminea, F. verticillioides, and F. solani by 57, 68, 19, and 30%, respectively.

Conclusion:
The results of this study demonstrated that selected Streptomyces spp. isolates and their free cell crude extract could be used as a bio-control agent against the studied barley pathogenic fungi.
Mental Health Prediction in Students using Data Mining Techniques
Authors: Sahu Barnali , Kedia Jahnavi , Ranjan Vaishnavee , Mahaptra Biranchi Prasad , Dehuri Satchidananda 
Published: January 2025

Background:
Mental health issues are common among university students. Depression poses a significant obstacle to long-term learning and the viability of the educational system as a whole. Many students enroll in colleges in other states, leaving their friends and family behind. Some students struggle to adjust to competition in a foreign setting and the pressures of college. With numerous technical and non-technical universities, Odisha is currently rising as the center of education. There has been much research that has examined mental health issues in India, but few of them specifically target university students in Odisha. Our study aimed to predict the prevalence, factors, and effects of mental health problems (depression, social connectedness, and anxiety disorder) on college students in Odisha.

Methods:
An online survey was conducted that was circulated to several student classes at 3 colleges of an university, and it yielded 109 results. The survey included socio-demographic information along with the General Anxiety Disorder Questionnaire (GAD-7), the Revised Social Connectedness Scale (SCS), and a nine-item Patient Health Questionnaire (PHQ-9) scale. Correlation analysis has been applied to identify the correlation among attributes and regression analysis was applied for the prediction of the mental health status of the students based on the given attribute.

Results:
The prevalence rate of depression among students was determined to be 61.90%. Years of college and physical health showed a significant correlation with depression. Students in the early years of college have shown a greater depression rate. It was observed that anxiety and depression were positively correlated and social connectedness and depression were negatively correlated. We also found academic performance and depression to be correlated with each other. The hyperparameter-tuned logistic regression model provided better result in comparison to the other existing models in the literature.

Conclusion:
The findings hint at the high prevalence of depression in students and its association with anxiety disorders, social connectedness, and academic performance. This study emphasises how crucial it is for decision-makers to develop preventative measures and policies for a sustainable educational system.
A Novel Application of K-means Cluster Prediction Model for Diabetes Early Identification using Dimensionality Reduction Techniques
Authors: Krishna B. Vamshi , K. Raguru Jaya , A. P. Bhuvaneswari , H. L. Gururaj , Ravi Vinayakumar , Almeshari Meshari , Alzamil Yasser 
Published: January 2025

Purpose:
Diabetes is a condition where the body cannot utilize insulin properly. Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several disorders of kidney failure, heart attack, nervous weakness, blindness, etc. Among the 10 majority diseases, diabetes is occupying the second role by covering 34.2 million individuals as for the National Diabetes Statistics report. According to the World Health Organization, diabetes is playing the 7th role in cause of death. Thus early identification of diabetes can overcome these severe damages.

Methods:
Accurate predictions require a lot of data, which is introducing the curse of dimensionality. In the present research, PIMA Indians diabetes data set is considered and different classification models viz., K-means clustering with logistic regression, SVM (Support Vector Machine), Random Forest, etc. are implemented in predicting the accuracy of diabetes.

Results:
The accuracies for diabetes prediction are ranging from 0.9875 to 1.0. KCPM (K-means cluster prediction model) and has shown an increase in accuracy of 0.67% for the combined K -means clustering and different classification algorithms. In KCPM, firstly, the data is clustered using k-means into patients with and without diabetes, and then the clustered results are compared with the target variable and then filtered, followed by applying the different supervised classification algorithms for predicting the disease.

Conclusion:
The results show that KCPM predicts diabetes with a higher accuracy of 0.67% compared with other existing methods. By KCPM-based automated diabetes analysis system, early prediction of the disease may protect patients from facing severe disorders in life.
A Study of Bio-inspired Computing in Bioinformatics: A State-of-the-art Literature Survey
Authors: Mandal Akshaya Kumar , Sarma Pankaj Kumar Deva , Dehuri Satchidananda 
Published: January 2025

Background:
Bioinspired computing algorithms are population-based probabilistic search optimization approaches inspired by biological evolution and activity. These are highly efficient and can solve several problems based on human, chimpanzee, bird, and insect behavior. These approaches have been proposed by the scientific community over the last two decades for common application to solving bioinformatics design problems.

Materials and Methodology:
The advanced search boxes in databases such as PubMed, WoS, Science Direct, IEEE Xplore, and Scopus to conduct this research. Keywords such as "machine learning," "bioinspired computing," "DNA sequence optimization," and "bioinformatics" were used with OR and AND operators. Journal and conference articles were the two types of articles focused on, and other reports and book chapters were removed using the search engine's parameters.

Results:
Bioinspired techniques are becoming increasingly popular in computer science, electrical engineering, applied mathematics, aeronautical engineering, and bioinformatics. Parametric comparisons suggest that most classic benchmark approaches can be successfully used by employing bioinspired techniques. 56 % of studies are modification based, 30 % hybrid based, and 14 % multiobjective based.

Conclusion:
These algorithms can be used to optimize data sets in bioinformatics due to their capacity to solve real-world challenges and their ability to accurately express sequence quality and evaluate DNA sequence optimization.
The Journey of a Kalmyk / Qalmaq Merchant through Seventeenth-Century Kazakhstan
Authors:   Abai Kazakh National Pedagogical University (13, Dostyk Ave., 050000 Almaty, Republic of Kazakhstan), Atygayev Nurlan A. ,   Central State Museum of the Republic of Kazakshtan (44, Samal-1, 050051 Almaty, Republic of Kazakhstan), Ilyassova Zibagul S. ,   L. N. Gumilyov Eurasian National University (2, Satbaev St., 010000Astana, Republic of Kazakhstan)
Published: January 2025

Introduction. The article attempts to reconstruct one route of the ‘Great Kalmyk Road’ on the basis of data contained in the late seventeenth-century North and East Tartary by the Dutch researcher Nicolaas Witsen. Goals. The study conducts a source analysis of the mentioned data that prove instrumental in reconstructing the once popular path. Materials and methods. The work focuses on historical and geographical messages from the aforementioned publication and compares them to ones traced in other historical sources, such as documents of Russian embassies that would travel through steppes of present-day Kazakhstan in the sixteenth to eighteenth centuries, as well as famous Mongolian-language (Qalmaq) sources authored by Saghang Sechen and Ratnabhadra — with due regard of opinions expressed by J. Fischer, G. Lytkin, N. Aristov and others. Special attention is paid to modern studies on the history and toponymy of Kazakhstan. Key methods of historical research — the descriptive, historical comparative ones, and other generally accepted tools and approaches — have been employed. The descriptive method secures a deeper understanding of the route’s historical significance and cultural heritage, while the historical comparative one proves most helpful in reconstructing routes of the ‘Great Kalmyk Road’ via integrations of data from various sources for more complete and reliable historical contexts. Results. N. Witsen’s report narrates about the journey of one Qalmaq (Kalmyk) merchant from Khan Ayuka’s domains through Dzungaria to China, and thus provides a description of the route he was following. The latter comprises a number of toponyms and hydronyms of present-day Kazakhstan. So, this makes N. Witsen’s report of particular interest for the research of seventeenth-century Kazakhstan’s historical geography. Conclusions. The analysis of data from the examined work identifies some of the mentioned toponyms and outlines a branch of the ‘Great Kalmyk Road’ along which the Qalmaq merchant was travelling.
Failure Analysis of Brake Panel on Automotive Braking System
Authors: Winardi Yoyok , Munaji Munaji 
Published: January 2025

This paper presents the results of a failure analysis investigation conducted in the braking componentof motorcycle. One of the components is the brake panel. This component has been replaced in the non-authorized dealer. After used within 3 months, the brake panels broken during the braking process. The investigation involves several procedures and testing techniques, including: visual observation, chemical composition testing, fractography and hardness testing. Based on the results of the chemical composition testing, the brake panels are made of aluminum alloy (Al-Si) series 4xxx. Fractography was performed in scanning electron microscopy (SEM) and optical microscopy (OM). Vickers hardness machine is used to test the hardness. The result of the observations indicate porosity along the fracture area. The result of the hardness testing shows that the distribution of hardness in different zones is very uniform. Based on the overall analysis, the failure of the brake panel caused by stress concentration. Porosity in the solid solutions of brake panel is the cause. The emergence of porosity was suspected an error during the casting process.
effectiveness of using animation media to improve mathematical logic intelligence
Authors: Sarah Siti , Ahmasi Latif Al , Saudah  , Isa Muhammad 
Published: January 2025

Mathematics is the main subject. Mathematics solves many problems in many fields, namely biology, physics, chemistry, astronomy, calculus, statistics, computer programming, and others. However, many students often consider mathematics as a complex subject. One of the reasons is that students are not trained to include mathematics the problem-solving process. Mathematical, logical intelligence is the ability to solve aproblem by mathematics. Living in the 21st century demands the use of technology in almost all aspects of life. This study aims to determine the effectiveness of animation media in improving the mathematical logic intelligence of fifth-grade students at an elementary school with 37 students. The research method is a quasi-experiment with a control-group pretest-posttest design. Research instruments in the form of tests and documents. Data analysis techniques using t-test and N-Gain calculation. The results showed that using animation media to learn mathematics effectively improves mathematical logic intelligence. It is evidenced by the experimental class N-Gain score of 69% with a reasonably practical category, which is higher than the control class N-Gain score of 52% with a less effective category. The t-test results show a difference in mathematical logic intelligence between students who learn using animation media and those who do not, with a significance value smaller than 0.050, namely 0.036. This research will inform that mathematical logic intelligence can be carried out using animation media. The other researcher can continue the research by finding the mathematical logic intelligence indicator that contributed the most to mathematics learning activity.
The instructional and learning quality: The effect of four teacher competencies
Authors: Mukti Taufiq Satria , Noviafitri Kartika Satya 
Published: January 2025

Teacher competence is directly proportional to student learning quality. The purpose of this study was to prove whether teacher competence positively impacts the quality of learning. The study was conducted on 127 state madrasah teachers in Malang Regency and Batu City. Data was collected using a questionnaire via Google Form with a semantic differential scale (1-10). The instrument was developed in accordance with the teacher competence law and has met the quality requirements of content testing by experts and obtained empirical evidence in the SEM analysis with CFI (Comparative Fit Index) results, 0.926, RMSEA 0.110, CI (Confidence interval) 0.0937-0.126, and Reliability 0,95. The test of the influence of teacher competence on the quality of learning was carried out using linear regression analysis. The results of the data analysis obtained in the study showed a positive influence of teacher competence on the quality of learning by 90.8%. The results of measurements with the instrument used by the researcher can be a reference in measuring teacher competence;; the better the teacher's competence is, the more directly proportional it is to the quality of learning.
Численное моделирование ИЗГИБАЕМЫХ ЖЕЛЕЗОБЕТОННЫХ ЭЛЕМЕНТОВ С ИСПОЛЬЗОВАНИЕМ КРИТЕРИЯ ПРОЧНОСТИ ДРУКЕРА - ПРАГЕРА
Authors: Бударин Александр Михайлович , Плетнев Максим Валерьевич , Алехин Владимир Николаевич 
Published: January 2025

Статья посвящена нелинейному анализу железобетонной балки с использованием метода конечных элементов в программном комплексе ANSYS. В статье подробно описываются критерий прочности, типы конечных элементов и настройки решателя, используемые для вычислений. Исследовано влияние критерия сходимости и шага сетки конечных элементов на значение разрушающей нагрузки, нагрузки начала трещинообразования и значения прогиба балки во времени. © Бадарин А.М., Плетнев М.В., Алехин В.Н., 2018
This article is devoted to nonlinear analysis of reinforced concrete beam using Finite Element Method in software ANSYS. It is spoken in detail about yield criteria, types of finite elements and solver settings are used for calculations. The work investigated influence the convergence criteria and mesh on value of destructive load, cracking load and value of the deflection of the beam in time.