bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critique on Salafibism and it’s Significance for Indonesian Islamic Moderation: Study on Khaled Abou El-Fadhl’s Thought
Authors: Fanani Muhyar , Iswanto Bambang 
Published: December 2023

This paper aims to prove the importance of Khaled Abou el-Fadhl's (b. 1963) critique on Salafibism for mainstreaming Islamic moderation in contemporary Indonesia. This research examines Khaled's critique using the approach of ‘ilm uṣūl al-fiqh, a technique that analyzes the nature, secrets, and purposes of Islamic teachings including its laws. The problem examined in this research is the significance of Khaled's critique on Salafibism for mainstreaming Islamic moderation in contemporary Indonesia. This research concludes that from the perspective of ‘ilm uṣūl al-fiqh, Khaled's critique on Salafibism is crucial for mainstreaming Islamic modernization in present-day Indonesia. The significance of the critique lies in three things: (1). Providing the new awareness and energy for Indonesian Islamic scholars to campaign for moderate Islam and rejects puritanical Islam, especially Salafibism. (2). It provides theoretical guidance for the Islamic moderation movement in Indonesia, especially the importance of the balance between literalism and maqāṣid as well as between text and context in understanding the holy book. (3). Creating the practical guidance for the Islamic moderation movement in Indonesia to counter extremism. This research indicates that adopting a moderate approach to Islam holds significant promise for achieving local, national, and global religious harmony. In contrast, the puritanical approach, which hinders such concord, should be abandoned.

Keywords: Critique, puritanism, salafibism, Islamic moderation, contemporary Indonesia
Imam Abu Hanifah: The Vanguard of Moderation in Islamic Jurisprudence and the Global Dissemination of Moderate Islam
Authors: Rizapoor Habiburrahman , Rahimi Mohammad Rashid 
Published: December 2023

This article examines the role of Imam Abu Hanifah in the spread of moderate Islam. Through an analytical and descriptive research approach, the study investigates whether Imam Abu Hanifah can be considered one of the prominent scholars of Wasatiah Islam and explores the impact of his views on the dissemination of moderate Islamic teachings worldwide. The article assesses the influence of Imam Abu Hanifah’s teachings on the dissemination of moderate Islam across different regions. Based on the findings, this article concludes that Imam Abu Hanifah can indeed be considered a prominent scholar of moderate Islam. His madhab, rooted in moderation and flexibility, has played a significant role in the spread of moderate Islamic teachings worldwide. Imam Abu Hanifah’s emphasis on contextual understanding and his pragmatic approach to Islamic jurisprudence have resonated with diverse communities and contributed to the acceptance and propagation of moderate Islamic values in different parts of the world. This research contributes to the existing body of knowledge on Islamic scholarship by shedding light on the significant role played by Imam Abu Hanifah in the dissemination of moderate Islam. It underscores the importance of balanced interpretations and contextual understanding in promoting a moderate and inclusive understanding of Islamic teachings.
Keywords: Imam Abu Hanifah, Al-Islam Al-Wasatiyyah, Al-Madhhab Al-Hanafi, Al-Islam Al-Mu'tadil
Glass Ceiling Syndrome: A Perspective of Women Working in Health Institutions
Authors: TURAN KURTARAN Ayten , AYDIN Arzu , YEŞİLDAĞ Ahmet Y. 
Published: December 2023

Background and Purpose: Although women constitute the majority of the workforce in the healthcare sector, the number of representations in management positions needs to be increased. This study aimed to determine female health workers' glass ceiling syndrome perception levels and examine socio-demographic variables' effect on this level.
Design/methodology/approach: The research sample consists of 708 female healthcare professionals who work in six public hospitals. Perceptions were measured using the 42-item Glass Ceiling Perception scale. Measurements were made on a 5-point Likert scale ranging from 0 to 4.
Findings: It was found that the glass ceiling syndrome perception levels of female healthcare professionals were neutral (1.94). It has been determined that female healthcare professionals with a high level of education, doctors and nurses, those between the ages of 26-35, those who work in medical units, and those with a child have higher perception levels of glass ceiling syndrome.
JEL Code: M10, J70, M50, I19
Potential threats to the migratory waterbirds in South Bengal, India
Authors: Sinha Anirban , Hazra Prantik , Khan Tarak Nath 
Published: December 2023

Abstract
Growing human population, rapid urbanisation and unsustainable wetland use are causing the loss and deterioration of waterbird habitats, threatening their survival. We studied the major threats to the waterbirds in 9 tropical wetlands of South Bengal over 25 years and tried to assess their impacts on the waterbird diversity. Waterbirds here declined noticeably in correspondence with their habitat deterioration and decreases in their major food-bases. Habitat loss, overfishing, increasing Water Hyacinth cover and hunting were identified as the most serious threats affecting their survival and abundances. Although the processes influencing the waterbird diversity are not yet well understood, this study points out the need of a long-term monitoring programme to find out viable solutions to the problem aiming at wetland management.
Life cycle assessment of Hybrid alkali-activated cement production with red mud as an alkali activator
Authors: Zhang Qinli , Zhao Cunyu , Feng Yan , Chen Qiusong 
Published: December 2023

Abstract

The production of Hybrid Alkali Activated Cement (HAAC) has generated considerable interest in environmental issues. In this research, the environmental impacts of utilizing red mud (RM) as a partial activator of alkali-activated ground granulated blast furnace slag (GBFS) in HAAC production have been evaluated. A contribution analysis was carried out using life cycle assessment (LCA) to assess the environmental significance of six important substances in HAAC production. A comparative analysis of the environmental consequences of producing Ordinary Portland Cement (OPC) and two HAACs using various activators in the same plant was conducted. The results showed that the calcination and preparation of alkali-activated cementitious materials are the two processes with the highest environmental impacts. Marine ecotoxicity was identified as the primary impact category, followed by freshwater ecotoxicity and fossil depletion. Compared to OPC, HAAC yields superior benefits in the majority of environmental impact categories. Additionally, the inclusion of RM as a partial alkali excitant to HAAC results in even more pronounced environmental benefits when compared to NaOH alone, particularly in terms of cleaner production areas.
Unlocking Enhanced Thermal Conductivity in Polymer Blends through Active Learning
Authors: Xu Jiaxin , Luo Tengfei 
Published: December 2023

Abstract
Polymers play an integral role in various applications, from everyday use to advanced technologies. In the era of machine learning (ML), polymer informatics has emerged as a vital field for efficiently designing and developing polymeric materials. However, the focus of polymer informatics has predominantly centered on single-component polymers, leaving the vast chemical space of polymer blends relatively unexplored. This study employs a high-throughput molecular dynamics (MD) simulation approach combined with active learning (AL) to uncover polymer blends with enhanced thermal conductivity (TC) compared to the constituent single-component polymers. Initially, TC values for about 600 amorphous single-component polymers and approximately 200 amorphous polymer blends with varying blending ratios are determined through MD simulations. The optimal representation method for polymer blends is also identified, which involves a weighted sum approach that extends existing polymer representation from single-component polymers to polymer blends. An AL framework, combining MD simulation and ML models, is employed to explore the TC of an unlabeled dataset comprising approximately 550,000 potential polymer blends. The AL framework proves highly effective in accelerating the discovery of high-performance polymer blends for thermal transport. Additionally, we delve into the relationship between TC, radius of gyration (Rg), and hydrogen bonding, highlighting the roles of inter- and intra-chain interactions in thermal transport in amorphous polymer blends. A significant positive association between TC and Rg improvement and an indirect contribution from H-bond interaction to TC enhancement are revealed through a log-linear model and odd ratio calculation based on the polymer blend dataset, emphasizing the impact of increasing Rg and H-bond interactions on enhancing polymer blend TC.
Bacterial communities varied in different Coccinella transversoguttata populations located in Tibetan plateau
Authors: Zhang Huanhuan , Yang Kun 
Published: December 2023

Abstract
Coccinella transversoguttata is an important predatory beetle in Asia and America. Currently, few studies have investigated C. transversoguttata in China especially in the Tibetan plateau. In this study, full–length 16s rRNA sequencing and qPCR experiment were performed on eight C. transversoguttata populations collected from Tibet to analyze their bacterial communities and bacteria abundance. In summary, our results showed that diet could significantly alter the bacterial communities in C. transversoguttata populations in the Tibetan plateau. In future, there is a need to explore the differences in microbiota among various C. transversoguttata populations collected from different locations. These results add to our understanding of the complex bacterial communities of C. transversoguttata and their utilization as potential biocontrol factors.
Cigarette smoke extract induces ferroptosis in human retinal pigment epithelial cells in Age-related macular degeneration
Authors: Peng Hui , Zhao Long , Wu Ping , Lu Jing , He Yuxia , Pan Fuying , Shu Qinxin , Wang Xing , Xie Hao , Ju Huan , Du Yong 
Published: December 2023

Abstract
Age-related macular degeneration (AMD) is one of the three major blindness diseases. Retinal pigment epithelium (RPE) dysfunction due to smoking is an essential environmental factor in the pathogenesis of AMD. Ferroptosis is a novel type of iron-dependent programmed cell death (PCD). However, the relationship between cigarette smoke extract (CSE)-induced RPE damage and ferroptosis remains unclear.
In this study, we observed that CSE induced cellular damage in a human retinal pigment epithelial cell line (ARPE-19), resulting in ferrous ion (Fe2+) accumulation, an increas in reactive oxygen species (ROS) and lipid peroxidation (LP), a reduction in GSH levels, and the inhibition of Gpx4 expression. In addition, transmission electron microscopy (TEM) of in vivo and in vitro samples showed that after exposure to CSE, the mitochondria of RPE cells were wrinkled, the membrane density was increased, and the number of cristae decreased or cristae were not observed. Additionally, RPE cells were protected from damage by the ferroptosis inhibitors ferrostatin-1 (Fer-1) and liproxstatin-1 (Lip-1).
The findings of this study suggest that CSE can lead to RPE cell ferroptosis, which is associated with the pathogenesis of AMD.
Hybrid-Box Tool for Grey Wolf Optimization for Preference Ranking
Authors: Ibrahim Osman Ali Sadek , Younis Eman M. G. 
Published: December 2023

Abstract
Optimizing data instances play a crucial role in dealing with ranking problems. In scenarios such as ranking instances in medical diagnosis, search engine optimization, and information retrieval, there is a need for models that can rank data instances based on the significance of their features within the datasets. This paper provides a hybrid-box tool which is an efficient Grey Wolf Optimizer technique that generates ranking models by utilizing training and validation datasets. These models are then assessed using unseen test data to produce the predictive results. This tool uses a Grey Wolf Optimizer with unified lower-bound and upper-bound parameters. Furthermore, it uses seven objective functions besides the wolves' genes and their updated bounds are hybridized by six probability distributions as random number generators. This tool is a novel hybrid-box tool in the continuous optimization research domain for ranking data instances. Regardless of the hidden details during the evolving procedure, it provides the best-evolved ranking model at the end of each run. This makes the tool is hybrid between Black and White Box tools.
Effects in descendant mice after generational low dose-rate 137Cs internal exposure
Authors: Nakajima Hiroo , Ohno Mizuki , Uno Kazuko , Endo Satoru , Suzuki Masatoshi , Toki Hiroshi , Saito Tadashi 
Published: December 2023

Abstract
How does chronic low-dose internal exposure to Cesium-137 radiation over multiple generations affect offspring? In this study, we sought to infer the effects on humans from experiments on mice, whose spontaneous mutation rate in the next generation is very similar to that of humans. Cesium-137 water (100 Bq/mL) was provided as drinking water to A/J mouse strains for chronic, low-dose, and low-dose-rate internal exposure for more than 40 generations, following which, we examined individual effects in the exposed mice using a multi-pronged approach. Compared to the control group, DNA double-strand breaks and oxidative stress were significantly increased in the Cesium-137 group. However, no significant differences were observed between the two groups regarding chromosome aberration, micronuclei, and the whole genome sequence mutation analysis. Although no difference in carcinogenic rate was observed between the two groups, the rate of tumor growth was significantly suppressed in the Cesium-137 group. Cytokine levels in the Cesium-137 group showed a trend toward the activation of anti-tumor immunity, which likely contributed to the anti-tumor effect. For mice drinking water containing 100 Bq/mL (100,000 Bq/L) of cesium-137, no ill effects were observed on their offspring even after 25 generations of drinking.
Adaptive gap-tunable surface-enhanced Raman spectroscopy
Authors: Park Kyoung-Duck , Moon Taeyoung , Joo Huitae , Koo Yeonjeong , Kang Mingu , Lee Hyeongwoo , Kim Sunghwan , Chen Cheng , Suh Yung Doug , Kim Dai-Sik 
Published: December 2023

Abstract
Surface-enhanced Raman spectroscopy (SERS) enables sensitive observations of the chemical properties of various materials through highly localized optical field and gap plasmon (GP) resonance attributed to metal nanogap. However, GP resonance excited by static gap-plasmonic structures is too narrow and generally not tunable. Thus, tunable or broad-spectral SERS platforms have been little studied. Here, we present an adaptive gap-tunable SERS device to selectively enhance and modulate different vibrational modes via active flexible Au nanogap, with adaptive optical control. The tunability of GP resonance is ∼1200 cm-1 by engineering gap width, facilitated by mechanical bending of a polyethylene terephthalate substrate. We confirm that the tuned GP resonance selectively enhances different Raman spectral regions of brilliant cresyl blue molecules. Additionally, we dynamically control the SERS intensity by manipulating the coupling efficiency of excited photons and electrons in the nanogap, enabled by wavefront shaping. We demonstrate simulation results with theoretical models, exhibiting the quantitative mechanical and optical properties of one-dimensional flexible nanogap and their advantage in high-speed biomedical sensing. Our work provides a unique approach for observing and controlling the enhanced chemical responses of various materials with dynamic tunability.
Assessment of two repairing techniques for a novel lithium disilicate based ceramic
Authors: Galal Rami Mohamed , Hamza Ghada Ezzat , Elhotieby Menatallah Mohamed , Eldemery Yosra 
Published: December 2023

Abstract
Background
This research was done to evaluate the bond strength using two repair methods with lithium disilicate ceramic.
Methods
Cojet and Clearfil repair methods were used to repair lithium disilicate ceramic. The ceramic was sliced into slices before sintering (30 samples). Vita Ambria (Vita, Zahnfabrik, Germany) ceramic was used, surface treated with the 2 repair systems then bonded to composite. Samples are stored, thermocycling was done then shear loading was done until fracture. Bond strength values were collected and statistically analyzed.
Results
showed that the Cojet surface treatment showed significantly more bond strength (14.43 ± 1.46 Mpa) than the clearfil surface treatment showing (4.16 ± 1.33) as indicated by paired t-test p ≤ 0.05.
Conclusions
bond strength between composite and the ceramic Vita Ambria is better with using Cojet surface treatment than with using the clearfil system.
Development, comparison, and internal validation prediction models to determine patients with open globe injuries using machine learning approaches
Authors: Shariati Mehrdad Motamed , Eslami Saeid , Shoeibi Nasser , Eslampoor Alireza , Sedaghat Mohammadreza , Gharaei Hamid , Zarei-Ghanavati Siamak , Derakhshan Akbar , Abrishami Majid , Abrishami Mojtaba , Hosseini Seyedeh Maryam , Rad Saeed Shokuhi , Astaneh Mohammadreza Ansari , Farimani Raheleh Mahboub 
Published: December 2023

Abstract
Introduction: Open globe injuries (OGI) represent a main preventable reason for blindness and visual impairment, particularly in developing countries. The goal of this study is evaluating key variables affecting the prognosis of open globe injuries and validating internally and comparing different machine learning models to estimate final visual acuity.
Material and methods: We reviewed three hundred patients with open globe injuries receiving treatment at Khatam-Al-Anbia Hospital in Iran from 2020 through 2022. We calculated univariate and multivariate regression models to assess the association of different features with visual acuity (VA) outcomes. We predicted visual acuity using ten supervised machine learning algorithms including multinomial logistic regression (MLR), support vector machines (SVM), K-nearest neighbors (KNN), naïve bayes (NB), decision tree (DT), random forest (RF), bagging (BG), adaptive boosting (ADA), artificial neural networks (ANN), and extreme gradient boosting (XGB). Accuracy, positive predictive value (PPV), recall, F-score, brier score (BS), Matthew correlation coefficient (MCC), receiver operating characteristic (AUC-ROC), and calibration plot were used to assess how well machine learning algorithms performed in predicting the final VA.
Results: The artificial neural network (ANN) model had the best accuracy to predict the final VA. The sensitivity, F1 score, PPV, accuracy, and MCC of the ANN model were 0.81, 0.85, 0.89, 0.93, and 0.81, respectively. In addition, the estimated AUC-ROC and AUR-PRC of the ANN model for OGI patients were 0.96 and 0.91, respectively. The brier score and calibration log-loss for the ANN model was 0.201 and 0.232, respectively.
Conclusion: As classic and ensemble ML models were compared, results shows that the ANN model was the best. As a result, the framework that has been presented may be regarded as a good substitute for predicting the final VA in OGI patients. Excellent predictive accuracy was shown by the open globe injury model developed in this study, which should be helpful to provide clinical advice to patients and making clinical decisions concerning the management of open globe injuries.
All code resource is freely available at https://github.com/rahi60/OGIpatientFinalVA.git
Thermal and Microstructural Analysis of Intersections Manufactured by Wire Arc Additive Manufacturing (WAAM)
Authors: Sousa Bruno Maciel , Coelho Fagner Guilherme Ferreira , Júnior Givan Martins Macedo , de Oliveira Hellen Cristine Prata , Silva Nilo Nogueira da 
Published: December 2023

Abstract

The Wire Arc Additive Manufacturing (WAAM) stands out in manufacturing metallic structures due to its great potential for application in industry for automated production of parts with large dimensions and considerable geometric complexity. Thus, this work studied the thermal behavior of the material deposited (AWS ER80S-G) in an intersection and its influence on the microstructure. Thermal analysis showed that the cooling rate at the intersection is a little lower than that of a flat wall. The evaluation of the cooling curves in a CCT diagram of the steel indicated the microstructure formed, which was later confirmed by a metallographic analysis. The microstructure was quite similar between the intersection and the flat wall, but there was a significant difference in the transverse direction of deposition, ranging from the morphology of acicular grains at the base and top to equiaxed grains in the intermediate region (ASTM size 9). This difference in microstructure was significant for the hardness of the material according to the deposited layer, however, there were few differences between the intersection and the flat wall. Therefore, there were observed no significant differences between these regions concerning the microstructure or cooling rate, with the variances observed in the hardness being more significant only in the last layers deposited.
Noninvasive models to diagnose liver histology in HBeAg-negative chronic hepatitis B
Authors: Ye Yamei , Zhou Lina , Sun Fang , Yang Wenyang , Lin Chun , Pan Chen , Lin Yong 
Published: December 2023

Abstract
Introduction and objectives: Noninvasive, practical, and convenient means of assessment of liver histology in China are greatly needed.This research was to develop precise non-invasive tests to assess the histological activity grade and the degree of fibrosis.
Patients and Methods: We included 141 patients with HBeAg-negative chronic hepatitis B patient who was treatment-naive and underwent liver biopsy, whose ALT was below twice the normal upper limit (ULN). Logistic regression analysis was performed, noninvasive prediction models were established to diagnose the degree of liver inflammatory and fibrosis.
Results: The independent risk factors of moderate or severe inflammation were aspartate aminotransferase(AST) and Prealbumin. Based on the binary sequential logistic analysis,an API model consists of AST and PA is proposed, and the AUROC value was 0.789 (95%CI=0.682-0.896). AST, Plt, HBsAg(Log10) group were independent risk factors of significant fibrosis. Based on the binary sequential logistic analysis, a HAPI model consists of AST, Plt, HBsAg(Log10) group is proposed,with the AUROC of 0.825,and the optimum cut-off, the sensitivity and the specificity were 0.290, 66.67% and 91.49%., respectively. The AUROC of HAPI in predicting significant fibrosis were greater than that of AST(0.669, 95%CI=0.571-0.767, p=0.0014) , Plt(0.745, 95%CI=0.660-0.830, p=0.0216) and FIB-4(0.727, 95%CI=0.637-0.816, p=0.0112).
Conclusions: The API and HAPI should become convenient and noninvasive markers to predict the degree of ncerosis, inflammation and fibrosis in HBsAg-negative chronic hepatitis B infection whose ALT was lower than 2 ULN.