bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimalisasi Kefasihan Pelafalan Kosa Kata Untuk Meningkatkan Keterampilan Menulis Santri Pondok Pesantren Islamic Center Limbangan
Authors: Atmajaya Firdaus , Husniati Anggit , Arifin Aisyahrani 
Published: February 2025

This research aims to determine the effect of Arabic vocabulary pronunciation fluency training on improving the writing skills of students at the Limbangan Islamic Center Islamic Boarding School. The research method used is a quantitative method with a quasi-experimental approach and a one-group pre-test-post-test research design. The data collection technique uses tests and is analyzed using the Paired-Samples t-Test technique. The results of the research show that the pre-test results before the teacher fluency training were at a percentage of 16.6%, whereas after the Arabic vocabulary pronunciation fluency training, it was at a percentage of 80% with the parameter tcount = 3.131 and ttable = 1.699 so that a value of tcount > ttable could be obtained, or 3.131 > 1.699. It is clear that Ha is accepted while Ho is rejected. With these results, it can be concluded that training in fluency in the pronunciation of Arabic vocabulary during Imla' learning has a significant effect on improving the writing skills of students at the Limbangan Islamic Center Islamic Boarding School.
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh pelatihan kefasihan pelafalan kosakata bahasa Arab untuk meningkatkan keterampilan menulis santri di Pondok Pesantren Islamic Center Limbangan. Metode penelitian yang digunakan ialah metode kuantitatif dengan pendekatan kuasi-eksperimen dan desain penelitian one group pre-test-post-test. Teknik pengumpulan data menggunakan tes dan dianalisis dengan teknik Paired-Samples t-Test. Hasil penelitian menunjukkan bahwa hasil pre-test sebelum diadakannya pelatihan kefasihan guru berada pada persentase 16,6%, sedangkan setelah diadakannya pelatihan kefasihan pelafalan kosakata bahasa Arab berada pada persentase 80% dengan parameter thitung = 3,131 ttabel = 1,699 sehingga dapat diperoleh nilai thitung > ttabel atau 3,131 > 1,699, maka dengan ini jelas bahwa Ha diterima sedangkan Ho ditolak. Dengan hasil ini dapat disimpulkan bahwa pelatihan kefasihan pelafalan kosakata bahasa Arab pada pembelajaran Imla’ berpengaruhdan signifikan untuk meningkatkan keterampilan menulis santri Pondok Pesantren Islamic Center Limbangan.
The Interrelation of Balaghah and Egypt: Study of Amin al-Khuli's Thought
Authors: Syihabuddin Muhammad , Manggala Kayan , Nurkholisoh Siti , Ansharah Indana Ilma 
Published: February 2025

The essence of the science of Balaghah has been ingrained in the Arabic language to achieve creativity in both poetry and other literary forms. Al-Khuli in his book "Manahij Tafsir" explains that the many links between Egypt and Balaghah form an intense interrelationship. This article seeks to uncover the forms of a historical overview of Egypt and its influence on the science of Balaghah. This research uses a descriptive qualitative method through the main source of Amin al-Khuli's book "Manahij Tajdid fi al-Nahw wa al-Balaghah wa al-Tafsir wa al-Adab" and some relevant articles. In analyzing the data, researchers went through several stages, namely; identification, categorization, concept-historical content analysis, and ended with interpretation-validation. The results of this article reveal that: 1) Egypt has a strong character both in terms of geographical and social ideals. 2) Egypt became the foothold of prominent Balaghah figures who came from various regions. 3) There are two schools in Balaghah namely kalamiyyah and adabiyyah. 4) Egypt had a huge impact on the development of Arabic literature, which the Egyptians themselves put their literary knowledge as a form of dedication and love of harmony, as well as a form of devotion to the Qur'an. The above points summarize that Balaghah and Egypt have a close relationship that is inseparable in terms of history.
Abstrak
Esensi ilmu Balaghah telah mandarah daging dalam bahasa Arab untuk mencapai kreativitas baik puisi maupun bentuk sastra lainnya. Al-Khuli dalam kitabnya “Manahij Tafsir” menjelaskan bahwa banyak keterkaitan antara Mesir dan Balaghah membentuk interelasionalitas yang intens. Artikel ini ingin mencoba mengungkap bentuk-bentuk tinjauan historis mengenai Mesir dan pengaruhnya terhadap ilmu Balaghah. Penelitian ini menggunakan metode deskriptif kualitatif melalui sumber utama kitab karya Amin al-Khuli berjudul Manahij Tajdid fi al-Nahw wa al-Balaghah wa al-Tafsir wa al-Adab, dan beberapa artikel relevan. Dalam menganalisa data, peneliti melewati beberapa tahapan yaitu; identifikasi, kategorisasi, analisis konten konsep-historis, dan diakhiri dengan interpretasi-validasi. Hasil artikel ini mengungkap bahwa: 1) Mesir memiliki tabiat kuat baik dari segi keidealan secara geografis dan sosial. 2) Mesir menjadi pijakan tokoh-tokoh Balaghah terkemuka yang berasal dari berbagai wilayah. 3) Terdapat dua aliran dalam Balaghah yaitu kalamiyyah dan adabiyyah. 4) Mesir memiliki dampak yang sangat besar bagi perkembangan sastra Arab, yang mana orang-orang Mesir sendiri meletakkan keilmuan sastranya sebagai bentuk dedikasi dan kecintaan pada keharmonian, juga bentuk pengabdian pada al-Qur’an. Berbagai poin di atas menjadi rangkman, bahwa Balaghah dan Mesir memiliki hubungan erat yang tak terpisahkan dari sisi sejarahnya.
Infrastructure-Led Oil- and Gasfield Development: Optimizing Value, Enhancing Decision-Making, and Reducing Environmental Footprint
Authors: Al Ayass Rafic , Ghorayeb Kassem , Haj Hussein Mohammad 
Published: February 2025

Summary
Field development optimization in the oil and gas industry is crucial for balancing economic viability and environmental sustainability amidst complex challenges and advancing technologies. Infrastructure-led exploration and development aims to optimally use existing oil and gas infrastructure, ensuring significant cost savings and environmental benefits. In this paper, we present a method designed to optimize field development and expansion in the oil and gas industry. The workflow utilizes existing brownfield infrastructures and evaluates the potential of neighboring brownfields or other development opportunities to maximize supplementary value and enhance decision-making processes. The workflow integrates key data on production flow rates, cost in terms of capital expenditure (CAPEX), and economic value in terms of net present value (NPV) from potential expansion projects and performs a detailed capacity assessment while accounting for varied project timelines. This allows for the selection of a bundle of optimal expansion opportunities that optimize the development portfolio within predefined capital and capacity constraints. Test cases demonstrate the workflow’s capability to identify feasible and economically viable expansion opportunities, illustrating its potential to significantly optimize resource management and project value. The proposed workflow provides a comprehensive framework for optimizing oil- and gasfield development by integrating capacity analysis, case-dependent customization, and detailed reporting. The workflow’s flexibility enables tailored analysis to specific project needs, enhancing economic viability and operational efficiency. The innovative algorithms presented in this paper address critical and timely industry challenges, encompassing both sustainability and profitability in oil- and gasfield development projects.
Optimizing XGBoost for Intrusion Detection Using a Hybrid Firefly-PSO Algorithm
Authors: Mensah Paul 
Published: February 2025

Abstract

Intrusion detection systems (IDS) play a critical role in safeguarding networks against cyberattacks. Machine learning algorithms, particularly XGBoost, have been widely adopted in IDS for their robustness and efficiency. However, the performance of XGBoost can be significantly improved through hyperparameter optimization. This study proposes a hybrid Firefly-Particle Swarm Optimization (Firefly-PSO) algorithm for tuning XGBoost's hyperparameters to enhance intrusion detection performance. The hybrid algorithm combines the global search ability of PSO and the local search efficiency of the Firefly Algorithm. The proposed model is evaluated on three benchmark datasets: NSL-KDD, CICIDS2017, and UNSW-NB15. Experimental results show that the Firefly-PSO XGBoost model outperforms traditional optimization techniques such as Grid Search and Random Search in terms of accuracy, precision, recall, F1-score, and computational efficiency. Additionally, the model demonstrates excellent generalization capability and minimal false positive and negative rates, making it a robust solution for real-world IDS deployment. The findings of this study highlight the potential of hybrid optimization algorithms for improving machine learning-based IDS.
Restoring theta synchronization reverses social deficits in Shank2 mutant mice
Authors: Lee Eunee , Hwang Eunkyu , Kim Woohyun , Yoon Hyung-Geun , Lee Anjin , Shin Soogeun , Kwon Younghoon , Seo Dongseok , Kim Dohoung , Kim Eunjoon 
Published: February 2025

Abstract

Social interaction inherently requires the dynamic integration of information about oneself, others and the shared environment. Although synchronized neural activity, or interbrain synchrony, between the medial prefrontal cortices (mPFC) of interacting individuals has been observed in both humans and animals, its precise role in social interaction remains largely unexplored. Here, we show that Shank2 mutant (Shank2-/-) mice, which exhibit social deficits, also display significant disruptions in mPFC interbrain synchrony. The mPFC of Shank2-/- mice selectively failed to encode their own social behaviors, while the encoding of the partner’s social behaviors remains intact. Remarkably, we found that optogenetic induction of theta synchronization restored both social behaviors and interbrain synchrony in Shank2-/- mice. In wild-type mice, enhanced synchrony mildly improved social behaviors, whereas desynchronization led to impairment, highlighting the critical role of synchronized neural activity. These findings reveal a causal role of mPFC synchrony in orchestrating social interaction, providing critical insights into the neural mechanisms underlying social cognition. Moreover, they suggest potential therapeutic interventions targeting social deficits in neurodevelopmental disorders such as autism spectrum disorder (ASD).
Clinical and genetic characterization of Congenital disorders of glycosylation in 20 Chinese patients: novel variants and genotype-phenotype correlations
Authors: Zhao Peiwei , Tan Li , Meng Qingjie , Zhang Lei , Huang Yufeng , Zhang Xiankai , Hu Yanqiu , Zhou Shiqiong , He Xuelian 
Published: February 2025

Abstract

Background: Congenital disorders of glycosylation (CDG) are a complex and heterogeneous family of rare metabolic diseases that affect protein and lipid glycosylation and glycosylphosphatidylinositol synthesis. These disorders can affect multiple organs, leading to a broad spectrum of symptoms that vary among different CDG subtypes and between individuals with same type of CDG. This study aimed to investigate the genetic variants, molecular etiologies, and clinical features of 20 Chinese patients diagnosed with CDG.
Results: Using whole-exome sequencing (WES), functional prediction tools, Sanger sequencing, and segregation analysis, we identified variants in several genes: ALG2 (3 patients), DPM2 (3 patients), PMM2(3 patients), and ALG13 (2 patients). Additionally, variants in COG5, COG6, MOGS, DPM3, ALG1, ALG3, ALG11, SSR4 and SLC35A2 each were observed in single case. In total, 28 distinct variants were identified, 11 of which were previously unreported. Genotype-phenotype correlations revealed notable findings: variants in the N-terminus of ALG2 before the intramembrane domain were associated with congenital myasthenic syndromes (CMS), whereas those in the C-terminus caused ALG2-CDG; DPM2-CDG patients with variants in transmembrane region 1 exhibited more severe phenotypes; male patients with hemizygous variants in SLC35A2 demonstratedmilder phenotypes compared to those with mosaic variants.
Conclusions: This findings expand the spectrum of known clinical presentations and genetic variants in CDG, and establish possible genotype-phenotype correlations of several pathogenic genes, emphasizing the need for functional studies to unravel the underlying mechanisms.
Fast, flexible analysis of differences in cellular composition with crumblr
Authors: Hoffman Gabriel , Roussos Panos 
Published: February 2025

Abstract

Changes in cell type composition play an important role in human health and disease. Recent advances in single-cell technology have enabled the measurement of cell type composition at increasing cell lineage resolution across large cohorts of individuals. Yet this raises new challenges for statistical analysis of these compositional data to identify changes in cell type frequency. We introduce crumblr (DiseaseNeurogenomics.github.io/crumblr), a scalable statistical method for analyzing count ratio data using precision-weighted linear mixed models incorporating random effects for complex study designs. Uniquely, crumblr performs statistical testing at multiple levels of the cell lineage hierarchy using a multivariate approach to increase power over tests of one cell type. In simulations, crumblr increases power compared to existing methods while controlling the false positive rate. We demonstrate the application of crumblr to published single-cell RNA-seq datasets for aging, tuberculosis infection in T cells, bone metastases from prostate cancer, and SARS-CoV-2 infection.
Compressive Strength of Nigerian Gmelina Arborea Cross-laminated Timber: A combined experimental and probabilistic approach for polyurethane and epoxy resin adhesive bonding
Authors: Yau Yusuf , Ocholi Amana , Kaura Jibrin Mohammed , Lawan Adamu 
Published: February 2025

Abstract

Cross-laminated timber (CLT) is gaining recognition as a sustainable alternative to traditional building materials like steel and concrete, offering enhanced structural rigidity and dimensional stability. However, its performance depends heavily on the wood species used. This study explores the potential of Gmelina arborea, a fast-growing hardwood widely cultivated in Nigeria but underexplored for CLT applications. The research evaluates the compressive strength of CLT panels made from Nigerian-grown Gmelina arborea under in-plane and out-of-plane loading conditions. Panels were fabricated using visually graded planks bonded with one-component polyurethane (PUR) and two-component epoxy resin (ER) adhesives. Compressive strength tests were conducted following the BS EN 408:2010 + A1:2012 standard, and reliability analysis was performed using Python and MATLAB to compute reliability indices (β) and probabilities of failure (Pf) via the first-order reliability method (FORM). Results revealed that compressive strength perpendicular to the grain ranged from 11.37 to 13.38 N/mm², while parallel strength ranged from 14.30 to 30.26 N/mm², with PUR-bonded panels exhibiting slightly higher values. PUR-bonded panels achieved a mean perpendicular strength of 12.47 N/mm² compared to 12.24 N/mm² for ER-bonded panels. Parallel strength in the minor direction was higher than perpendicular strength, with PUR and ER panels averaging 18.19 N/mm² and 15.80 N/mm², respectively. The major strength direction showed the highest values, with PUR at 27.86 N/mm² and ER at 26.79 N/mm². Reliability analysis indicated that PUR adhesives outperformed ER, with higher reliability indices (β = 3.6637, Pf = 0.0243%) compared to ER (β = 3.1646, Pf = 0.077641%). These findings highlight the superior structural reliability of PUR-bonded CLT panels.
Predicting postoperative cognitive dysfunction in older cardiac surgery patients: An integrated machine learning approach with a visual nomogram
Authors: Sang Ming , Wei Jianhua , Weng Fengxia , Zhang Ping , Wang Siri , Leng Yanan 
Published: February 2025

Abstract

Objectives
This study integrated machine learning algorithms to identify key risk factors for postoperative cognitive dysfunction (POCD) in older cardiac surgery patients. This study aimed to develop a predictive nomogram to assist clinicians and nurses in identifying high-risk patients and implementing targeted interventions.
Methods
A prospective cohort study was conducted with 353 older cardiac surgery patients admitted to the surgical intensive care unit (ICU). Data on demographics, laboratory results, and clinical characteristics were collected. The least absolute shrinkage and selection operator (LASSO) regression was applied to determine the most relevant predictors for POCD. These predictors were incorporated into a multivariate logistic regression model to construct a predictive nomogram. Model performance was assessed using receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis.
Results
POCD was observed in 49.86% of patients. Seven independent predictors were identified: surgical approach, pre-existing comorbidities, operation duration, intraoperative blood loss, sleep quality score during ICU stay, Acute Physiology and Chronic Health Evaluation II (APACHE II), and self-care ability. These predictors were incorporated into the predictive nomogram; it demonstrated robust predictive performance with an area under the ROC curve (AUC) of 0.786. The nomogram exhibited excellent calibration and discrimination. Decision curve analysis confirmed its clinical utility across a broad range of threshold probabilities.
Conclusions
A precise and effective nomogram was developed using the surgical approach, Underlying comorbidities, operation duration, blood loss, ICU sleep quality, APACHE II, and self-care ability as predictors of POCD in older cardiac surgery patients.
Implications for Clinical Practice
This nomogram provides a valuable tool for early detection and prevention of POCD, enabling clinicians to make informed decisions and tailor interventions. Its application can help reduce the incidence of POCD, ultimately improving patient outcomes and quality of care.
An investigation of the relationship between sleep patterns and suicidal tendencies in patients with schizophrenia and bipolar disorder
Authors: Moghadam Mahboobeh Soleymani , Davarinejad Omran , Hookari Sara , Golmohammadi Farzaneh , Moradinazar Mehdi , Alikhani Mostafa 
Published: February 2025

Abstract

Background
Despite significant advances in medical science, bipolar disorder and schizophrenia remain among the most important psychiatric disorders of the current century. Suicide is a leading cause of death in them.
Purpose
This study aimed to examine and compare sleep patterns among patients with schizophrenia and bipolar disorder and their relationship to suicidal behaviour.
Method
The statistical population of the research includes all patients with schizophrenia spectrum disorders and bipolar disorders who were referred to Farabi Hospital in Kermanshah for treatment during the years 2019–2021. Data on 527 schizophrenia and 325 bipolar patients were collected through a census. Descriptive statistics methods of frequency, percentage, mean, and standard deviation were used. Also, a two-sample independent t-test and chi-square test were conducted. All analyses were done with SPSS-24 statistical software at an error level of 5%. Pittsburgh Sleep Quality Inquiry (PSQI) and Suicidal Behavior Questionnaire (SBQ-R) were used in this research.
Results
In the current study, sleep quality and suicidal risk were correlated by type of psychiatric disorder. However, there was no statistically significant correlation between the two variables. According to these results, 129 patients with schizophrenia and 93 patients with bipolar disorder reported poor sleep quality. Also, the risk of suicidal behaviour was reported at a high level for 316 patients with schizophrenia and 169 patients with bipolar disorder.
Conclusion
Sleep disorders in people with schizophrenia and bipolar disorder need to be examined further, as early identification and treatment can positively affect a patient's prognosis and quality of life.
Engineered Supercooling Systems for Enhanced Long-Term Preservation of Large-Volume Red Blood Cells in Commercial Blood Bags
Authors: Liu Qi , Wang Shichun , Yan Jie , Diao Ronghua , Huang Haishui , Xu Feng , Yao Chunyan 
Published: February 2025

Abstract

Extending the shelf life of red blood cells (RBCs) is vital for transfusion medicine, yet traditional storage methods like refrigeration and cryopreservation suffer from limitations such as storage lesions and ice-induced damage. We developed an improved supercooling preservation system for large-volume (100 ml) RBC suspensions in commercial polyvinylchloride (PVC) blood bags by minimizing favorable sites of ice nucleation and maintaining precise thermal control at − 8°C. This engineered protocol significantly reduces hemolysis, metabolic degradation, and oxidative stress while preserving RBC membrane integrity and functionality for up to 63 days. In vivo transfusion studies in New Zealand white rabbits demonstrate that supercooling-preserved RBCs achieve higher post-transfusion recovery rates, outperforming conventional storage methods. Our scalable and cost-effective supercooling system integrates seamlessly with existing blood banking infrastructure, addressing critical needs for extended RBC storage and improved transfusion outcomes. This advancement enhances blood supply reliability and patient care, representing a significant breakthrough in transfusion medicine.
Proposed Breast Milk Substitutes Support Policy: Evaluating Its Impact on Public Health and Economic Burden on Low-Income Families in Saudi Arabia
Authors: Alhumaidan Omar A , Alsaif Mohammed 
Published: February 2025

Abstract

This study evaluates the risk of milk unaffordability and its impact on nutrition, economy, and child growth in Saudi Arabia. Using a reference-based analytical approach, this study estimates the magnitude of high-risk populations struggling to afford breast milk substitutes and examines the effects of implementing a support policy to mitigate these risks. Reference values for family income, milk intake, milk cost, milk cost-to-spending ratio, growth rates, and energy requirements were established to guide the analysis. The findings indicate an annual risk rate of 139 children per 100,000 births, with regions such as Tabuk, Asir, Hail, and Najran identified as high-risk areas. At-risk families have an average monthly income of 5281 Saudi Riyal and face milk cost deficits ranging from 45 to 510 Saudi Riyal during the first two years of a child’s life. This deficit translates into shortfalls of 1–10 formula packages per month, particularly during high-demand periods, which affects caloric intake and child growth. Children from low-income families are less likely to achieve Saudi reference growth standards for height (77.6–95.02 cm) and weight (9.09–15.27 kg) at 24 months of age. Implementing a breast milk substitute support policy improved growth outcome, aligning them with the Saudi reference values. This study highlights the importance of integrating nutritional and economic evaluations to inform targeted policies, ensure access to breast milk substitutes, and promote equitable public health interventions.