bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antioxidant and antiplasmodial activities of Razafimandimbisonia minor (Baill.) Kainul. &amp; B. Bremer leaves (Rubiaceae)
Authors: RAKOTOARIVELO Henintsoa , RAZAFINTSALAMA Vahinalahaja Eliane , RANDRIATSALAMA Angelo , RASOLOFOMANANA Jesuka , RANDRIAMIALINORO Faliarivony , RALAMBOMANANA Dimby Andrianina , RANARIVELO Lalasoa , RAZAFIMAHEFA Reine Dorothée RAMILISON , RASOARIVELO Tiana Sylvia RALAMBONIRINA 
Published: October 2024

Abstract

Background
Razafimandimbisonia minor (Baill.) Kainul. & B. Bremer (Rubiaceae), a specie endemic to Madagascar, is traditionally used in Malagasy medicine. A decoction of the leaves is employed to treat liver disorders, fatigue and fever. The aim of this study was to assess the plant's antioxidant activity, determine the content of total phenolic compounds and flavonoids, and analyze the antiplasmodial potential.
Methods
The leaves were collected, shade dried and ground. The methanol extract obtained by maceration was partitioned by liquid-liquid to produce hexane, ethyl acetate and aqueous fractions. Phytochemical screening was carried out using standard methods, followed by analysis of phenol and flavonoid contents, as well as antioxidant and antiplasmodial activity tests. Quantification of total polyphenols and flavonoids was carried out by UV spectrophotometry, using colorimetry with 10% Folin-Ciocalteu reagent and 2% aluminum chloride respectively. Antioxidant activity was measured by the DPPH (2,2-diphenyl-1-picrylhydrazyl) free radical scavenging assay. Antimalaria activity was assessed by measuring fluorescence with the SYBR Green dye on the chloroquine-resistant Plasmodium falciparum strain FCM29. Results were analyzed by ANOVA with Tukey's test.
Results
The methanol extract had a high polyphenol and flavonoid content, with concentrations of 280.8 ± 4.6 mg EGA/g and 50.4 ± 2.3 mg ER/g respectively. Biological tests revealed a better antioxidant activity of this extract, with a 50% inhibitory concentration of free radicals measured at 21.58 ± 0.05 µg/mL. But, the hexane and ethyl acetate extracts showed moderate antiplasmodial activity with concentrations of 21.32 and 24.42 µg/mL respectively, while the aqueous and methanol extracts showed weaker activity with concentrations of 41.5 µg/mL and 50.71 µg/mL, respectively.
Conclusion
These results display the phenolic and flavonoid content of the methanol extract of Razafimandimbisonia minor leaves, which corroborates with antioxidant activity, but the antimalarial activity is rather weak. They underline the value of using this plant for phytomedicinal properties, confirming the important role in malagasy traditional medicine.
European Electricity Grids May Exhibit Heatwave-induced Capacity Bottlenecks
Authors: Keshav Srinivasan , Chen Minghua , Liang Enming 
Published: October 2024

Abstract

As climate change increases the frequency, intensity, and duration of heatwaves, understanding their impact on electricity grids is crucial for enhancing societal security and resilience. We study the effects of heatwaves on European electricity grids using several comprehensive real-world datasets. Moreover, noting that conventional modeling of temperature effects on grid operation limits is computationally challenging, we develop a novel temperature-dependent segment-based approach that is both efficient and accurate. We apply this method to evaluate the robustness of several European electricity grids for projected heatwave scenarios for the next 25 years. We find both concerning grid bottlenecks and national differences: for example, while the Spanish grid exhibits temperature-induced capacity bottlenecks that could jeopardize power supply during heatwaves, the German grid shows remarkable resilience. These findings emphasize the need for temperature-aware grid power flow analysis as well as the need for long-range planning to ensure energy security despite climate-change induced future heatwaves.
Investigating storage models for various types historical graphs
Authors: Spitalas Alexandros , Kosmatopoulos Andreas , Gounaris Anastasios , Tsichlas Kostas 
Published: October 2024

Abstract

Our focus in this study revolves around enhancing the storage strategies for evolving graphs, particularly emphasizing the preservation and querying of their complete history. In particular, we review previous research on historical graph databases and storage systems, we introduce a way to generate historical graph datasets and we propose an enhanced methodology for a space-optimal vertex-centric model with MongoDB. This approach prioritizes space optimizations while managing to achieve notable advancements in the execution time of global queries, known for their complexity within entity-centric frameworks. Extensive experimentation was done, employing snapshot-based and interval-based datasets generated with the use of LDBC SNB generator, in order to validate our claims of achieving significant speed enhancements. Consequently, our approach enables the execution of more resource-intensive queries with improved efficiency, reduced client involvement, and less memory requirements.
The effect of protocatechuic acid on nephrotoxicity induced by gentamicin in rats
Authors: Mert Handan , Çibuk Salih , Yıldırım Serkan , Mert Nihat 
Published: October 2024

Abstract

Gentamicin (GM) is an aminoglycoside antibiotic widely used in the treatment of gram-negative infections. It is known that oxidative stress plays an important role in gentamicin nephrotoxicity. Therefore, the aim of this study is to investigate the possible protective effect of protocatechuic acid (PCA), which is reported to have antioxidant properties, on GM-induced nephrotoxicity. For this purpose, 32 rats were randomly divided into four groups: Control (Physiological saline orally), PCA (20 mg/kg orally), GM (80 mg/kg/day/i.p), GM + PCA (GM 80 mg/kg/day/i.p and 20 mg/kg PCA orally). Trial period was eight days. Blood samples were taken for biochemical, kidneys were removed for immunohistochemistry and histopathological evaluations. Serum urea, creatinine, Na, K, Cl analyzes of the rats were performed in an autoanalyzer, and malondialdehyde (MDA), advanced oxidation protein products (AOPP), glutathione (GSH), superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) analyzes were performed in ELISA. While urea (p < 0.001), creatinine (p < 0.001), MDA (p < 0.05) and AOPP (p < 0.05) levels decreased in the GM + PCA group compared to the GM group, the GSH level (p < 0.05) and GPx activity (p < 0.05) levels increased. In conclusion; in GM-induced nephrotoxicity, PCA prevented lipid peroxidation and protein oxidation, increased GSH level and GPx activity, and according to histopathological and immunohistochemical findings, it prevented necrosis in tubular epithelium, atrophy in glomerulus and decreased 8-OHdG expression in kidney cells. With this study, it was emphasized once again that PCA is a good antioxidant agent and it can be said that PCA has a protective effect in nephrotoxicity induced by GM.
Impulse Buying in the Age of Algorithms: A Systematic Literature Review of Psychological Triggers Leading to Buyer's Remorse
Authors: Ofem  
Published: October 2024

Abstract

Algorithmic marketing has become a powerful tool in e-commerce, significantly impacting consumer behavior by leveraging psychological triggers that foster impulse buying, often resulting in buyer’s remorse. This systematic literature review examines how algorithms employ scarcity, urgency, social proof, and personalization cues to encourage impulse purchases and explores the ensuing cognitive dissonance and buyer's remorse experienced by consumers. Adhering to PRISMA guidelines, the review assessed studies from databases including Scopus, Web of Science, PsycINFO, IEEE Xplore, and Google Scholar published between 2000 and 2024. Of the 1,200 initial articles, 50 high-quality studies were selected, encompassing methodologies such as experiments, surveys, case studies, and meta-analyses. Findings reveal that algorithm-driven marketing significantly increases impulse purchases and post-purchase regret, highlighting ethical tensions between consumer persuasion and manipulation. Framed by Cognitive Dissonance Theory, Nudge Theory, and Dual-Process Theory, the discussion underscores the ethical responsibility of marketers and the need for regulatory oversight to safeguard consumer autonomy. The study calls for further longitudinal research on the psychological impact of algorithmic marketing and suggests actionable strategies for consumers, ethical guidelines for marketers, and robust regulatory frameworks for policymakers. Conclusions: The findings underscore the profound influence of algorithms on consumer behavior and highlight the urgent need for ethical standards and regulatory policies to address potential manipulative practices in algorithmic marketing. Future studies should focus on the long-term effects of such marketing strategies and explore interventions to mitigate buyer's remorse.
Assessing Teacher Readiness for Online Teaching in Cambodian Higher Education using Structural Equation Modeling
Authors: Be Borey 
Published: October 2024

Abstract

This study examines Cambodian higher education teachers' readiness for online teaching and learning (OTL) using a structural equation modeling (SEM) approach. The framework centers around three key dimensions: teachers' self-efficacy in technological, pedagogical, and content knowledge (TPACK), their perceived online teaching presence, and the institutional support they receive. A quantitative survey was administered to 140 teachers at the university level. Teachers' online teaching experience positively influenced their TPACK self-efficacy. Online teaching experience also had a significant positive impact on teachers perceived online teaching presences. Furthermore, teachers' perceptions of institutional support were positively associated with their online teaching experience. These results highlight the critical role of teachers' online teaching experience in shaping their readiness for OTL. The findings suggest that targeted professional development programs and institutional support mechanisms can effectively enhance teachers' self-efficacy, online teaching presence, and perceptions of institutional support in Cambodian higher education.
تطبيق البيئة اللغوية بطريقة المفردات لترقية مهارة الكلام الطلاب
Authors: MAULIDIANA LAILI 
Published: October 2024

ملخص البحث: أهمّية فى البيئة اللغوية هي الإعتماد على النفس، التمرينات واستمرار بحسن التعلّم. من المفيد أن يتعلّم المسلمون اللغة العربية منذ الصغار و يجعله فى البيئة اللغوية اليومية بأن يكون اللغة إزدهرا كلغة الإتصال و مزدهرا فى قسم التكنولوجية. من المحسن أن يعرف المعلّم فعالية الخطوة فى صبّ البيئة اللغوية لأنها يعادله فى دراجة النجاح و عند تعامل المعلّم بهذه الفعالية يحسن به أن يراعى ما يلى: اِكثار مفردات التلاميذ، يبيّنُ المعلّم عن التفريق الجملة المفيدة و يَصْدرُ المعلّم شجاعة التلاميذ فى إعتبار فِكرتَهم باللغة العربية مع الغير. إذ يوجد الإعتماد فى النفوس التلاميذ عندما يصبّون البيئة اللغوية عسى أن يكون اثار خاصة فى نشر اللغة العربية و مَن الذى له كفائة فى اللغة العربية له مقام مرتفع بين الأخرين. إن أراد التلاميذ أن يجيد اللغة العربية واجب عليهم أن يفهموا معانى المفردات و أنماط التراكيب و الجمل أو العبارات. ففهم اللغة العربية يستطيع أن يحصل الطلاب بأي الطريقة مثلا بطريقة المفردات “vocabulary methode”
مناهج البحث التي تتكون على مدخل البحث بإستعمال على مدخل البحث الكيفي, و تصميم البحث بإستعمال تصميم البحث الوصفي, و مكان البحث و هو باالمدرسة الإبتدائية الكونتورى و المدرسة الإبتدائية الإسلامية المنور، و طريقة جمع الحقائق المستعملة هنا هي: طريقة المشاهدة بأداة المشاهدة، طريقة المقابلة بأداة المقابلة، و طريقة الوثيقة بأداة إرشادة للواثيقة و طريقة تحليل الحقائق التي تستعمل بطريقة الإستقرائية و طريقة و صفة التحليلية، ثم تفتيش صحة البيانات بإستعمال تطويل أوقات الحضور و المناقشة مع بعض الإخوان و تثليث .حاصل البحث: 1. لمعرفة خطوة تطبيق البيئة اللغوية بطريقة المفردات فى ترقية مهارة الكلام الطلاب 2. لمعرفة ما المشكلات فى تطبيق البيئة اللغوية بطريقة المفردات لترقية مهارة الكلام الطلاب و لمعرفة طريقة فى انحلال تلك المشكلات، 3. لمعرفة ما تأثير فى تطبيق البيئة اللغوية بطريقة المفردات فى ترقية مهارة الكلام الطلاب
الكلمة المفتاحية: البيْئة لغوية, طريقة المفردات, مهارة الكلام.
Determination of creep function coefficients of viscoelastic pipes using a transient-guided machine learning model
Authors: Sharififard Ebrahim , Azizipour Mohamad , Ahadiyan Javad , Haghighi Ali 
Published: October 2024

ABSTRACT

This study introduces a novel framework for the estimation of creep function coefficients in viscoelastic pipelines, employing a combination of machine learning (ML) and transient hydraulics. Specifically, the efficacy of eXtreme Gradient Boosting (XGBoost) as an advanced regression method is evaluated within this framework. A transient simulation model, utilizing the method of characteristics, is formulated to create the reservoir-pipe-valve (RPV) scenarios under diverse boundary conditions. After conducting model calibration, the model is used to generate datasets with the transient hydraulic responses at the measurement points. The fast Fourier transform (FFT) is then applied to transform the generated samples into the frequency domain. Feature selection is accomplished through principal component analysis (PCA) to identify optimal input variables for XGBoost. In estimating the creep function, six coefficients are employed, with the feature selection analysis indicating that each coefficient is associated with a specific signal. Importantly, it is demonstrated that attempting to estimate all six coefficients using a single set of signals is unfeasible. The results affirm the accuracy of the proposed ML-based framework in determining creep function coefficients.
A parsimonious setup for streamflow forecasting using CNN-LSTM
Authors: Pokharel Sudan , Roy Tirthankar 
Published: October 2024

ABSTRACT

Significant strides have been made in advancing streamflow predictions, notably with the introduction of cutting-edge machine-learning models. Predominantly, long short-term memories (LSTMs) and convolution neural networks (CNNs) have been widely employed in this domain. While LSTMs are applicable in both rainfall-runoff and time-series settings, CNN–LSTMs have primarily been utilized in rainfall-runoff scenarios. In this study, we extend the application of CNN–LSTMs to time-series settings, leveraging lagged streamflow data in conjunction with precipitation and temperature data to predict streamflow. Our results show a substantial improvement in predictive performance in 21 out of 32 HUC8 basins in Nebraska, showcasing noteworthy increases in the Kling–Gupta efficiency values. These results highlight the effectiveness of CNN–LSTMs in time-series settings, particularly for spatiotemporal hydrological modeling, for more accurate and robust streamflow predictions.
A metamodel for sensitivity and uncertainty analysis in the modeling of loss of life due to dam failures
Authors: Duarte Juliana Maia , Costa Veber Afonso Figueiredo 
Published: October 2024

ABSTRACT

Estimating the loss of life (LOL) resulting from dam-failures is required for devising emergency action plans and strategies for alert issuance and evacuation. However, current models for simulating fatalities are computationally expensive, forced by highly uncertain variables and not readily interpretable, which may limit their use in engineering and research. For circumventing these problems, we utilize the Polynomial Chaos Expansion (PCE), technique for approximating the LOL, as obtained from the agent-based model LifeSim, and propagating uncertainty of inputs, namely, alerted population, mobilized population, alert issuance and hazard identification, to the model responses. We also benefit from the PCE spectral representation for assessing the effects of each input in the LOL associated with the dam-failure in an urban area in Brazil, considering efficient and inefficient scenarios for alert and evacuation, during the day and night. The PCE error ranged from 10−3 to 10−2, and the mean squared error between the metamodel output and LifeSim was between 1 and 2 fatalities. In global sensitivity analysis, the variables alert issuance and hazard identification contributed the most to the number of fatalities. These findings provide objective guidelines for implementing more effective safety measures, potentially reducing LOL resulting from a dam-break in the study area.
Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin, Ethiopia
Authors: Mummed Bedasa , Shiferaw Yilma Seleshi 
Published: October 2024

ABSTRACT

The measurement of a stream flow is a vital component of water quality monitoring, geomorphology, and flooding investigations. However, the direct measurements of stream flow can be costly and challenging. To obtain a continuous record of discharge, typically the recorded stage and discharge are computed from the correlation of stage and discharge in the form of a rating curve. This study focused on the estimation of flow discharges using a rating curve equation based on data recorded at the Erer-Jijiga Bridge hydrometric station at the outlet of the upper Erer Sub-basin in Ethiopia for 2020–2021. The fitted rating curve was then used to estimate discharges from continuously recorded stages. The installation and operation of a gauging station in the Upper Erer Sub-basin will provide local and regional water sector administrators with more reliable estimates of discharge than would be available if the sub-basin was ungauged. This will also assist the local water sector to undertake water resource planning in the Upper Erer River Basin to better use the limited water resources in the region.
Insights into the Binding of Metadoxine with Bovine Serum Albumin: A Multi-Spectroscopic Investigation Combined with Molecular Docking
Authors: Kour Harman Deep , Pathania Apoorva , Pathania Anu Radha 
Published: October 2024

Background:
Metadoxine, also known as pyruvate dehydrogenase activator, is a small
molecule drug that has been used in the treatment of various medical conditions. Bovine serum albumin is a commonly studied protein that serves as a plasmatic for understanding protein-drug interactions due to its abundance.

Objective:
This research suggests that metadoxine can bind to bovine serum albumin with moderate
affinity, leading to an alteration in the secondary structure of the protein, which may also influence
the protein's stability and function, which could provide a comprehensive understanding of the interaction at a molecular level. In this study, a variety of methodologies wereused to determine various thermodynamic parameters.

Methods:
The study uses UV-visible, Fluorescence, Fourier-transform infrared, Circular dichroism
spectroscopy, and Molecular docking to analyze the interaction between bovine serum albumin and
metadoxine, providing thermodynamic parameters for understanding the protein structure and its
binding

Result:
The binding of metadoxine with bovine serum albumin, causes a hyperchromic shift. In
fluorescence spectroscopy, the value of the Stern Volmer increases constantly with an increase in
temperature, suggesting a stronger interaction between the Metadoxine and the Bovine serum albumin, leading to dynamic quenching. Additionally, Fourier-transform infrared and circular dichroism indicated a reduction in the secondary structure of Bovine serum albumin.

Conclusion:
The interactions between metadoxine and bovine serum albumin, cause hyperchromic
shift revealed by UV-visible spectroscopy, whereas in Fluorescence spectroscopy, the value of the
Stern Volmer constant increases with an increase in temperature, suggesting a stronger interaction
between the MD and the BSA, leading to dynamic quenching. Additionally, Fourier-transform infrared and circular dichroism spectroscopy indicated a reduction in the secondary structure of the
protein, as evidenced by the shifting of the amide II band and leading to a slight decrease in the αhelix content. The molecular docking shows that metadoxine was docked in the subdomain IIA
binding pocket of BSA.
Characterization of the Cytotoxic Effect of Naphthalenacetamides Hydrochlorides on Cervical Cancer-Derived Cells
Authors: Martinez-Nava Cristina , Perez-Gonzalez Cuauhtemoc , Zavala-Sanchez Miguel Ángel , Perez-Montiel Erick Cuauhtemoc , Lopez-Munoz Francisco Javier , Mendez-Cuesta Carlos Alberto 
Published: October 2024

Introduction:
Cervical cancer is a global health problem due to its high incidence and
prevalence in women, mainly in third-world countries. For the treatment of this disease, there are
different therapeutic options, but these are not always effective, which gives rise to the search for
new compounds using cheminformatics tools.

Objective:
The objective of this study was to design, synthesize, and biologically evaluate N-(2-
morpholinoethyl)-2-(naphthalen-2-yloxy)acetamide hydrochloride (1) and 2-(naphthalen-2-yloxy)-
N-(2-(piperidin-1-yl)ethyl)acetamide hydrochloride (2) on the HeLa cell line in vitro. The referenced
cell line from the American Type Culture Collection (ATCC®CCL-2™) was used, and the
effect on cell viability was determined by MTT metabolic reduction-based assay at 24, 48, and 72
h.

Methods:
Therapies directed at the σ1 receptor may be a treatment alternative since this receptor
modulates the processes of cell proliferation and angiogenesis, producing cytoprotective or cytotoxic
actions depending on the ligand with which it is coupled.

Results:
The analysis showed that compounds 1 and 2 presented activity on HeLa cancer cells and
viability at micromolar concentrations (1.923 μmol/mL and 0.374 μmol/mL, respectively). Moreover,
the effect was maintained for 72 h.

Conclusion:
Naphthaleneacetamide derivatives exhibited an inhibitory effect on the HeLa cell line,
and the OSIRIS program predicted less toxicity than cisplatin.