bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impacts of Project-Based Learning Strategy on EFL Students’ Speaking Course at PGRI University of Palembang
Authors: Jaya Aswadi , Hartono Rudi , Wahyuni Sri , Yulianto Henrikus Joko 
Published: September 2024

Abstract

This study looks at how the Project-Based Learning (PjBL) approach can be used to improve students' critical thinking abilities in speaking classes. The study, which featured 40 students enrolled in an English as a Foreign Language (EFL) program, was carried out at PGRI University Palembang, Indonesia. Data was gathered using a mixed-methods approach, including tests (pre- and post-test), observations, interviews, and surveys. Techniques including data reduction, data display, and conclusion drafting were all part of data analysis. Several important findings were made by the study: Three steps were used to integrate PjBL into critical speaking courses: planning, carrying out, and assessing. Interviews revealed that 85.70% of students were driven to finish assignments utilizing the PjBL paradigm, and 60% of students performed well. According to surveys, 68% of pupils firmly agreed that critical thinking abilities are essential. Additionally, a quantitative independent t-test yielded a significance value of sig. (2-tailed) 0.000 < 0.05, showing a significant difference in the development of critical thinking between the experimental and control groups. These findings demonstrate how well PjBL fosters students' critical thinking skills and offer suggestions for appropriate learning paradigms that can help them.
Factors That Constitute Challenges to Community Policing and Security in Anambra State of Nigeria
Authors: Ezenwosu Arinze 
Published: September 2024

Abstract

This study examined the factors that constitute challenges to community policing and security in Anambra State. This study was carried out in Onitsha South local government area of the state. The objective of this study was to identify factors that constitute challenges to community policing and security in Onitsha south local government area. The study made use of survey research design. The method used in collecting data includes primary and secondary sources of data collection. The primary source was on field work which involves the conducting of oral interviews with natives in the LGA, and questionnaires, while secondary data was newspaper, magazine, internet, journals and textbooks. For analysis, tables were used to represent data. The population was limited to adult males and females who are above the age of eighteen years at Onitsha metropolitan area. The sample consists of two hundred and thirty respondents from Onitsha South Local Government area, and was selected using multi stage sampling. Six research questions and three hypotheses were formulated for the study. The data collected from the respondents were analyzed using the Statistical Package for Social Science (SPSS) while hypothesis were tested using Chi-square (X2) statistical method. The findings indicated that lack of trust in the police force was the highest factor that constitute challenges to community policing and security in Onitsha South LGA. The findings also indicated that majority of the respondents rate the relationship between the police and the community people as fairly unfriendly. It was therefore recommended there should be an avenue for the police and members of the community to discuss the security problems bedeviling the area and create security awareness in the community.
Examining and assessing the prevalence of field diseases affecting tuberose (Polianthes tuberosa L.) cultivation: A study conducted in the Jashore District of Bangladesh
Authors: Zaman Rabita , Ahmmed Abu Noman Faruq , Ferdous Raihan 
Published: September 2024

Abstract

A research investigation was conducted in the Jashore district of Bangladesh to examine diseases affecting tuberose plants. The laboratory analysis was performed at the plant disease study facility at Sher-e-Bangla Agricultural University, Dhaka, Bangladesh. The study encompassed eighteen villages across four unions within the Jhikargacha upazila of the Jashore district. The primary objective was to document the occurrence and severity of diseases in tuberose fields under natural conditions. Seven fungal diseases were detected in the natural field setting and were subjected to further scrutiny in the research facility. The pathogens responsible for these diseases were isolated and identified, revealing botrytis blight (Botrytis cinerea), blossom blight (Fusarium equiseti), alternaria leaf spot (Alternaria polyanthi), leaf tip blight (Phoma sp.), peduncle blight (Lasidiplodia theobromae), stem rot (Sclerotium rolfsii), and tuber rot (Fusarium oxysporum). Disease incidence ranged from 0% to 64.33%, and severity ranged from 0% to 24.00%. Stem rot, botrytis blight, alternaria leaf spot, and leaf tip blight were identified as significant challenges in tuberose cultivation in the Jashore district. This study represents the first documentation of tuberose pathogen prevalence in Bangladesh, providing valuable insights for disease management strategies and contributing to the improvement of tuberose cultivation practices in the region.
Comparative Analysis of CNN, EFFICIENTNET and RESNET for Grape and Potato leaves Disease Prediction: A Deep Learning Approach.
Authors: Akther Jesmin , Harun-Or-Roshid Muhammad , Islam Aminul 
Published: September 2024

Abstract

Grapes and potato, both a crucial component of the global agricultural economy, are susceptible to various diseases that can adversely affect crop quality and yield. Recently, the use of Deep Learning (DL) techniques in agriculture has shown potential for predicting and detecting diseases early. This study explores the effectiveness of Convolutional Neural Networks (CNN), Efficient Net, and Residual Networks (ResNet) in identifying diseases in grape and potata leavess. It employs a database containing high-resolution images of healthy and diseased grape leaves, including conditions like leaf blight, and grape and potata leaves browny mildew. Data pre-processing methods are used to standardize and enhance the datasets for model training and evaluation. The study implements and fine-tunes three DL classifiers—CNN, Efficient Net, and ResNet—using transfer learning. To assess the models' performance in disease classification, the dataset is divided into training and validation subsets. Metrics such as accuracy, recall, precision, and F1-score are used to evaluate the models' predictive capabilities. The experimental results show that CNN achieved 94% accuracy, ResNet attained the highest efficiency with 96% accuracy, and Efficient Net reached 97% accuracy.
The effect of blocking resonance and current on wave
scattering due to finite flexible plate with permeable ocean
bottom
Authors: M Miniyappan , Mohanty Sanjay Kumar 
Published: September 2024

Abstract

This study explores the effect of wave blocking caused by ocean currents on the oblique wave scattering by a finite flexible plate floating horizontally over a permeable ocean bottom. The velocity potential for finite water depth is calculated using the method of eigenfunction expansions associated with the continuity of velocity and pressure along with the boundary condition of the clamped edge. Due to incident waves, the study also examines the free surface elevations, the deflection of a floating plate, and the wave reflection and transmission coefficients under ocean current and permeable bottom circumstances. Furthermore, the study investigates the influence of flexural rigidity, compressive force, Froude number, wave incidence angle, and porosity parameter on the wave reflection and transmission coefficients. Notably, the wave energy propagation in the form of reflection coefficients decreases with higher Froude numbers. The amplitude of plate deflection increases with the increase in the Froude number. The study shows that zero reflection and full transmission are possible when there is a rigid bottom and a permeable bottom with a real porosity parameter under particular wave and structural characteristics combinations. However, these ideal conditions do not hold for a complex porosity parameter. Furthermore, wave transmission decreases significantly with an increase in the length of the floating plate due to energy dissipation by the permeable ocean bottom, especially for a complex porous-effect parameter. Additionally, the impact of the porosity parameter on wave blocking has been studied. Wave blocking occurs for specific physical conditions but ceases as porosity parameter values increase. The study also emphasizes the significant influence of different wave propagation modes on the reflection coefficients in open water and plate-covered regions. Overall, this research provides valuable insights into the impact of ocean currents, bottom permeability, wave propagation modes, and structural parameters on wave scattering by a floating finite flexible plate over a porous ocean bottom.
ANALISIS BUKU AJAR DURUSULLUGHAH AL-ARABIYAH MENURUT PERSPEKTIF RUSYDI AHMAD THU’AIMAH
Authors: Aceh Ika Ramdhanningsih , Nasution Sahkholid 
Published: September 2024

Penelitian ini bertujuan untuk melakukan analisis terhadap buku ajar Durusullughah al-Arabiyah Jilid I berdasarkan pandangan Rusydi Ahmad. Aspek-aspek yang dibandingkan meliputi aspek bahasa dan aspek keterampilan berbahasa. Teknik pengumpulan data yang digunakan adalah teknik observasi. Adapun langkah-langkah yang digunakan dalam penelitian ini adalah mengamati buku ajar, memilah dan memilih data, memetakan data, dan menganalisis data yang diperoleh dari pemetaan yang telah dilakukan. Hasil penelitian menunjukkan bahwa buku ajar Durusullughah al-Arabiyah telah memenuhi kriteria berdasarkan pandangan Rusydi Ahmad Thu’aimah dalam aspek bahasa dan keterampilan berbahasa yang disajikan. Berdasarkan kelayakan, buku ajar Durusullughah al-Arabiyah Jilid I telah sesuai dengan unsur Mufrodat, Qawalid, dan Muhadtasah, namun tidak sesuai dengan unsur Muthola’ah. Berdasarkan analisis kelayakan aspek ketrampilan berbahasa, buku Durusullughah al-Arabiyah Jilid I telah sesuai dan layak digunakan. Berdasarkan cara ketrampilan penyajiannya, DLA telah menyajikan empat ketrampilan berbahasa. Serta berdasarkan ketrampilan ketrampilan berbahasa yang difokuskan, DLA telah seimbang dalam penyajian empat ketrampilan berbahasa.
INTERNALISASI INTEGRASI ILMU DALAM PEMBENTUKAN KARAKTER ISLAMI PESERTA DIDIK
Authors: Ramadhani Havelia , Hanum Azizah , Arsyad Junaidi 
Published: September 2024

Penelitian ini bertujuan untuk menganalisis bentuk integrasi ilmu di Madrasah Aliyah Kota Binjai, menganalisis pelaksanaan internalisasi integrasi ilmu dalam pembentukan karakter Islami peserta didik Madrasah Aliyah di Kota Binjai, dan menganalisis faktor pendukung penghambat integrasi ilmu dalam pembentukan karakter Islami peserta didik Madrasah Aliyah di Kota Binjai. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus. Pengumpulan data melalui wawancara mendalam, observasi . Instrumen utama penelitian dibantu pedoman observasi dan pedoman wawancara. Teknik analisis data yang digunakan adalah display data, reduksi data, dan penarikan kesimpulan. Triangulasi yang digunakan untuk menguji keabsahan data adalah triangulasi sumber dan metode. Hasil penelitian menunjukkan bahwa bentuk integrasi ilmu yang diterapkan adalah dengan perpaduan nilai-nilai illahiyah (ketuhanan) dalam materi pelajaran melalui ayatisasi Al-Qur’an dan Hadis, menanamkan motivasi dan pandangan Al-Qur’an tentang sains. Penerapan itu menunjukkan hasil pada karakter peserta didik yakni, religius, disiplin, toleransi, peduli lingkungan dan mandiri. Terdapat beberapa hal yang menjadi faktor pendukung yakni, pendidik yang profesional, peserta didik yang aktif, sarana yang memadai, kurikulum yang mendukung. Adapun hambatannya antara lain: kurangnya kesadaran pendidik mengenai integrasi ilmu, peserta didik yang tidak berfikir kritis, bahan ajar yang tidak dilengkapi sebagai dasar acuan pembelajaran
Atomic-scale visualization and quantification of lithium in lepidolite by AC-TEM-EELS: Implications for pegmatite genesis and advancing lithium extraction techniques
Authors: Yuan Mao-Wen , Li Xiao-Wei , Schwartz Joshua J. , Zhao Zhi-Dan , Hao Zhao-Ge , Liu Jia-Wei , Alam Masroor , Dong Guo-Chen , Yuan Wan-Ming , Wen Zi-Hao 
Published: September 2024

Abstract
The small ionic radius of lithium ions (Li+=0.6 Å) poses a significant challenge in visualizing and quantifying their presence within the lepidolite lattice. Nevertheless, the use of spherical aberration-corrected transmission electron microscopy (AC-TEM) in conjunction with electron energy loss spectroscopy (EELS) offers an innovative approach to surmount this challenge. In this investigation, we conducted a comprehensive analysis of lepidolite samples obtained from lithium-rich pegmatites located in the Shaliuquan region of the Quanji Massif, situated at the northwestern periphery of the Qinghai-Tibetan Plateau in northwest China. Utilizing AC-TEM in tandem with EELS, we captured sub-angstrom images revealing the presence and spatial distribution of lithium atoms within the lepidolite lattice. Additionally, we quantified their concentrations and determined the formula for lithium-rich mica. This study solves a long-standing problem regarding the accurate determination of lithium concentration, and showcases the viability of AC-TEM-EELS for both visualizing and quantifying lithium within the lepidolite lattice. Our innovative finding facilitates the differentiation of cation ordering, polytypes, and lepidolite’s chemical compositions, which is helpful for advancing lithium extraction techniques and constraining the forming process of pegmatites.
Suplantación de identidad a través de las empresas de telecomunicaciones en Colombia
Authors: Beltrán Meléndez Melissa Andrea , Tobón Pérez Natalia Andrea , Mosquera Paternina Sandra Elena 
Published: September 2024

El presente artículo de reflexión es el resultado de la investigación sobre el fenómeno de la suplantación de identidad, en el cual se planteó por objetivo, analizar los mecanismos de protección de datos existentes en Colombia, frente a las empresas de telecomunicaciones y sus consecuentes deberes para evitar casos de suplantación de identidad en personas naturales y a su vez evaluar la eficacia de las leyes existente, indagando si son suficientes o no para proteger a la persona natural víctima de suplantación de su identidad , con una consecuencia para su buen nombre como lo es el reporte negativo en centrales de riesgo al no haber sido verificada eficazmente su identidad esta investigación emplea el método jurídico hermenéutico va en caminada al método cualitativo de Habermas el cual explica Hernández (et.al2018). La investigación cualitativa resulta interpretativa pues pretende encontrar sentido a los fenómenos y hechos en función de los significados que las personas les otorguen. No solamente se registran sucesos objetivos. Finalmente se sugieren recomendaciones para que las personas naturales y empresas disminuyan el delito de suplantación de identidad.
Annual and seasonal mean daily discharge in natural and regulated rivers in Northern Finland: variability, trends, and links to climate teleconnections
Authors: Irannezhad Masoud , Abdulghafour Zahrah , Marttila Hannu 
Published: September 2024

ABSTRACT

This study aimed to investigate long-term (1969–2023) variability and trends in annual mean daily discharge (AMDD) and seasonal mean daily discharge (SMDD) in 10 rivers throughout Northern Finland in connection to climate teleconnections. The lowest AMDDs were mostly recorded during the first 12 years (1969–1980) of our study period, while the highest ones were during the last 12 years (2012–2023). Significant trends in AMDD were found only in three natural rivers of Tornionjoki, Simojoki, and Kuivajoki during 1969–2023. Such variations and trends in AMDD were most significantly associated with the Scandinavia (SCA) pattern, which is also an influential climate teleconnection for annual precipitation anomalies across Northern Finland. The highest (lowest) SMDDs were experienced in spring (winter). Only increasing trends in SMDD were statistically significant (p &lt; 0.05). Such substantial increases in SMDDs were detected in winter, spring, and summer (autumn) in association with the Arctic Oscillation or AO and the North Atlantic Oscillation or NAO (East Atlantic/West Russia or EA/WR). Generally speaking, recent milder and wetter climatic conditions in association with strong positive AO and NAO (negative EA/WR) phases could increase SMDD for winter, spring, and summer (autumn) seasons. Hence, both AMDD and SMDD in rivers throughout Northern Finland were primarily influenced by precipitation.
Systematic Review and Meta-analysis Indicating Curcumin to Enhance the Synergistic Potential of Paclitaxel and Reduce Cell Viability, Tumor Volume, and Drug Resistance in Different Cancers
Authors: Fatima Yasmin , Das Agneesh Pratim , Jha Gaurab Kumar , Agarwal Subhash Mohan 
Published: September 2024

Background:
To treat diseases like cancer, conventional Paclitaxel (PTX)-
based monotherapy treatment regimens are becoming less effective due to the development
of resistance. In this aspect, the phytomolecule curcumin (Cur), having
ethnopharmacological importance in traditional South Asian remedies, like Ayurveda
and Chinese traditional medicine, has been studied as a promising chemo-sensitizing
and synergistic partner of PTX.

Aim:
This study aimed to evaluate the combined effect of PTX and Cur compared to
PTX therapy alone in the in vitro and in vivo environments.

Material and Methods:
An extensive PubMed search was performed wherein 169 papers
were shortlisted and screened to identify 30 studies that have reported the effect of
PTX and Cur either in vitro, in vivo, or both. The pooled Odds Ratio (OR) was calculated
at a 95% Confidence Interval (CI) for determining the effect of combination therapy.

Results:
The meta-analysis has indicated PTX and Cur combination therapy to be associated
with a significant decrease in cell viability (OR: 0.37, 95% CI: 0.27-0.51; p < 0.01)
and tumor volume (OR: 0.32, 95% CI: 0.15-0.71; p = 0.01). Additionally, the effect of
this combination on drug-resistant cell lines has exhibited a significant decrease in the
odds of cell viability (OR: 0.45, 95% CI: 0.35-0.57; p < 0.01).

Conclusion:
Overall, the current meta-analysis has shown PTX and Cur combination to
effectively inhibit the viability of cancer cells, reduce tumor volume, and diminish the
growth of drug-resistant cancer cells.
A Comprehensive Investigation: Developing the Pharmaceutical Industry through Artificial Intelligence
Authors: Jain Deepak , Chandra Phool , Ali Zeeshan , Fatma Nishat , Khan Hafsa 
Published: September 2024

Abstract:
AI's rise has affected many aspects of civilization. Pharmaceutical businesses have been
hit hard. This review paper highlights AI's benefits for disease detection, clinical trials, medicine
development, and productivity in the pharmaceutical industry. Pharmaceutical companies have built
specialized systems to help doctors diagnose and monitor medication remediation. Pharmaceutical
businesses are utilizing AI for machine learning to imitate human analytical processes for more accurate
and insightful data. AI has many benefits for the pharmaceutical business. Data analysis can
address previously insoluble problems due to improved precision. AI boosts productivity, lowers expenses,
and enhances tasks. AI insights enhance understanding of user behavior, market performance,
and clinical trial success. AI helps identify patients during clinical trials and improves antiviral detection
to ensure efficacy, safety, cost-effectiveness, and seamless pharmaceutical procedures. The
pharmaceutical industry emphasizes AI in R&D, drug discovery, diagnostics, sickness prevention,
epidemic forecasting, remote access, manufacturing, and marketing. Artificial intelligence has transformed
medication development and discovery by analyzing vast datasets, discovering complicated
patterns, and forecasting efficacy. Pharmaceutical companies like Novartis, AstraZeneca, and Verge
Genomics are utilizing AI for drug feature prediction, neurological evaluation, therapy development,
pulmonary and hypertension recognition, low-cost medication production, and disease diagnosis.
Specific Features of Juvenile Idiopathic Arthritis Patients’ Chemokine Profile: The Data of Case-Control Study Analysis
Authors: Rybakov Arseniy V. , Yureva Karina A. , Khizha Vitaliy V. , Kozlova Darya I. , Sorokina Lybov S. , Zorin Vyacheslav I. , Kozhevnikov Aleksei N. , Kostik Mikhail M. 
Published: September 2024

Background:
Juvenile idiopathic arthritis pathogenesis involves a large number of different
immune system cells, which are both sources and targets of chemokines, that affect not only
their migration but also survival, proliferation, differentiation, production of all cytokine types, degranulation,
and also directly stimulating or suppressing angiogenesis. Studyingthe contribution of
chemokines to this disease pathogenesis will make it possible to identify new sensitive and specific
markers for its diagnosis and subsequent dynamic monitoring of treatment effectiveness.
The study aimed to identify a list of the most informative diagnostic markers from a wide range of
juvenile idiopathic arthritis patients' blood plasma chemokines.

Methods:
The case-control study included 40 diagnosed pathology patients and 20 healthy agematched
children. The content of MCP-1/CCL2, MCP-3/CCL7, MIG/CXCL9, MIP-1α/CCL3,
MIP-1β/CCL4, RANTES/CCL5, IFN-γ, IP-10/CXCL10, and MDC/CCL22 were measured by enzyme-
linked immunosorbent assay in blood plasma of each person.

Results:
The following chemokines were included in the list of the most promising diagnostic
markers: MCP-1, MIP-1α, MIG, RANTES, and IFN-γ. Their blood plasma content in patients
with a diagnosed pathology was from 3 to 60 times (MIG) higher than in the conditionally healthy
group. Their sensitivity and specificity exceeded 90%.

Conclusion:
An increase in their content leads to active monocytes/macrophages migration to the
site of inflammation, where they suppress effector T-cell activity by binding suppressor exosomes
and activate B-cells by autoantigens presentation received due to joint tissue destruction. This allows
us to speak about the predominance of the Th1-mediated immune response during the development
of studied disease chronic inflammation.