bluuebunny/crossref_metadata_2025_split huggingface dataset:
FINANCIAL RESILIENCE AMONG WOMEN SMALL AND MEDIUM ENTERPRISE IN MALAYSIA DURING AND AFTER COVID-19: THE ROLE OF ISLAMIC SOCIAL FINANCE
Authors: Yusuf Muhammad-Bashir Owolabi , Mahadi Nur Farhah , Kassim Salina , Mohd Yusoff Syarah Syahira Binti 
Published: November 2024

The COVID-19 pandemic disproportionately impacted women-owned small and medium enterprises (SMEs) in Malaysia, exposing their vulnerabilities and highlighting the need for effective resilience strategies. This study examines the role of Islamic social finance in enhancing the financial resilience of these businesses during and beyond the pandemic. To achieve this goal, the study explores three key areas i.e., identifying factors shaping the financial resilience of women-owned SMEs in Malaysia during and beyond the pandemic, assessing the effectiveness of Islamic social finance instruments in fostering financial resilience for these businesses, and formulating recommendations for effective policies that strengthen the financial resilience of women-owned SMEs, enabling them to navigate future pandemics more effectively. Using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, we document no significant effects of Islamic social finance instruments on the financial resilience of women-owned SMEs. We argue that this documented insignificance could be due to the ways Islamic Social Finance (ISF) is operationalized. At the same time, contradicting previous research on the ISF women-owned SMEs financial resilience, we also believe that further investigation is needed.
Performance Comparison of Gradient-Free Optimization Methods for Well Placement and Well Controls Optimization for Geologic CO2 Storage
Authors: Tom Imaobong , Nguyen Quang Minh , Onur Mustafa 
Published: December 2024

Summary
In this study, we investigate the use of three different gradient-free population-based optimization methods—namely, iterative Latin hypercube sampling (ILHS), particle swarm optimization (PSO), and genetic algorithm (GA)—for the well placement and well controls optimization problem of CO2 underground storage in a 2D saline aquifer with bound constraints on the design variables. We also consider both simultaneous and sequential optimizations of well locations and well controls using these gradient-free methods. The optimization problem involves finding the optimal well types, well locations, or well controls for a CO2 injection problem in a synthetic saline aquifer compositional model built in a commercial simulator. The objective function formulated for the CO2 injection problem is the net present environmental value (NPEV) involving discrete design variables (well types and well locations) and continuous design variables (well controls). We observe that for simple well-location optimization problems involving one or two wells, all three algorithms obtained comparable results, given the same number of samples and number of iterations. However, for more complex cases such as the sequential or simultaneous optimization problems, when multiple wells that may include injectors and producers are present, we observe significant differences in the selection of the optimal well types and well locations among the three optimizers. In the simultaneous optimization of well types, well locations, and well controls, when both injectors and producers are bottomhole pressure (BHP) controlled, the results show that it is more optimal for at least one producer to be present, and for the injectors to be operated at the upper bound of the injector BHP, while the producers are operated at the lower bound of the producer BHP to maximize the NPEV.
What is a Correct Resistance Pre- and Post-Flashing: Application of EQUALIZER DART
Authors: Llanos Marco Melo , Irani Mazda 
Published: December 2024

Summary
Flow Control Devices (FCDs) have emerged as promising tools for enhancing recovery in Steam Assisted Gravity Drainage (SAGD) production wells. Initially, it was hypothesized that FCDs delayed steam breakthrough by homogenizing injection and production, equalizing flow, and compensating for pressure changes along the wellbore. However, recent advancements in Inflow Control Devices (ICDs) featuring internal flashing have shown potential for superior performance. Internal flashing, characterized by self-boiling of water due to pressure reduction, has become a focal point in ICD design, with the prevailing belief in the SAGD industry that increased flashing enhances performance, leading many vendors to extend the flashing zone. Contrary to common belief, excessive choking can impede flow rates without necessarily improving performance. This paper introduces the concept of sandface subcool, defined as the subcool at the sandface calculated based on temperature and pressure. When sandface subcool reaches zero, conditions are conducive to steaming, potentially leading to severe steam coning. The role of ICDs is to elevate upstream pressure, increasing sandface subcool and halting steam flashing at the sandface. However, excessive choking can hinder flow rates, rendering it unnecessary to raise sandface subcool above zero degrees.
Furthermore, the heterogeneity of Athabasca McMurray oil sands reservoirs significantly impacts SAGD recovery outcomes. In response, the implementation of ICDs has become pivotal in enhancing SAGD performance. This study delves into the variation of permeability and temperature along the wellbore, emphasizing the importance of resistance before and after flashing in understanding producer performance. Through comparative analysis of ICD systems with varying resistance profiles, this study identifies optimal resistance parameters for different geological structures.
This study introduces a novel model designed to accurately simulate flashing under thermal conditions, demonstrating its efficacy by matching C-FER (Continuous Flow Extraction Rate) data. Subsequently, this model is integrated into a comprehensive wellbore model to replicate well performance pre- and post-flashing. Specifically, the performance of EQUALIZER Dart, featuring various resistance profiles, is modeled and contrasted with previously deployed EQUALIZER Select wells. The findings reveal that EQUALIZER Dart can enhance oil production rates by 40% and reduce steam consumption by 20% compared to baseline scenarios, highlighting its potential for optimizing SAGD operations.
Research on support technology of driving roadway under the influence of continuous fault fracture zone
Authors: Zhang Li Xin , Li Yi , Li Gang 
Published: December 2024

Abstract

In order to study the support technology of roadway excavation under the influence of multiple fault fracture zones, this paper takes 2101 transport trough of Donggou Coal Mine as the engineering background, and analyzes the surrounding rock variation rules at different stages during roadway excavation under the influence of multiple fault fracture zones through numerical simulation software. The results show that the main factors affecting the surrounding rock are vertical stress and unstable rock mass in the fracture zone. Through numerical simulation, the plastic zone is reduced by 58% after grouting and strengthening support, and the deformation of roof, bottom plate and two sides is reduced by 3.05m, 0.5m and 1.6m respectively. Due to the change of rock stratum caused by fault drop after breaking zone, it is necessary to strengthen the support of roadway roof. After supporting, the plastic zone is reduced by 40%, and the deformation of roof and two sides is reduced by 0.75m. The results of simulation analysis meet the requirements of support and provide a theoretical basis for mine construction. It also provides reference for the excavation of roadway under similar conditions.
1H NMR-based Metabonomic Analysis of Serum and Flap Tissue of Gensenoside Rb1 on Survival of Random-Pattern Skin Flap in Rats
Authors: Huang Yeqian , Liu Yu , Meng Fanjun , Wijaya Wilson Adrian , Cao Chang 
Published: December 2024

Abstract

The randomly patterned skin flap is limited by the length-to-width ratio, which can affect its clinical application. This study aims to review the effect of ginsenoside Rb1 on the survival of random skin flaps and analyze the mechanism by metabonomic approaches. Sprague-Dawley rats were divided into a control group, an ischemia-reperfusion (I/R) group, and a ginsenoside Rb1 group. Serum and middle flap tissue of the rats were collected for 1H-NMR spectroscopy detection and computer pattern recognition analysis. Ten days post-surgery, the survival rate of the dorsal flaps in the Rb1 group (61.06 ± 3.71) % was significantly higher than in the I/R group (50.46 ± 1.41) %. In 24 hours after surgery, the 1H-NMR spectrum analyses demonstrated increased lipid content in the serum in I/R group. Compared with the serum in I/R group, the Rb1 group showed significantly higher levels of glutamate creatine fumarate, while lactate choline/phosphocholine N-acetylglycoprotein allantoin was decreased. The contents of ATP/ADP/AMP of glutamine, citrate, tauric acid, and fumarate in flap tissue were increased while that of lactate acetate acetoacetate was significantly decreased. Our finding suggests that ginsenoside Rb1 may have the potential to enhance the survival rate of dorsal random flaps and provide protective effects.
Additive impact of cardiovascular diseases and hearing loss on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
Authors: Li Ling , Li Lan , Qin Chenchen , Zhong Qian 
Published: December 2024

Abstract

Background
Cardiovascular diseases (CVD) and hearing loss (HL) are significant public health concerns, sharing common pathological mechanisms and being associated with severe health outcomes. This study investigates the impact of CVD and HL on all-cause and cardiovascular mortality.
Methods
Data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018 were analyzed, along with mortality data from the National Death Index (NDI) up to December 2019. Initially, we explored the correlation between different types of HL and CVD. Participants were categorized into four groups based on the presence of CVD and HL, and mortality outcomes were analyzed accordingly.
Results
Among 10,614 participants, 6,039 (56.9%) had neither CVD nor HL (CVD-/HL-), 3,465 (32.6%) had HL only (CVD-/HL+), 279 (2.6%) had CVD only (CVD+/HL-), and 831 (7.8%) had both CVD and HL (CVD+/HL+). Compared to individuals without HL, those with overall frequency HL (OR = 1.49, 95% CI: 1.14–1.96, p = 0.004) and high-frequency HL (OR = 1.41, 95% CI: 1.04–1.90, p = 0.03) showed a positive correlation with CVD, while low-frequency HL (OR = 1.04, 95% CI: 0.86–1.26, p = 0.71) showed no significant association. In terms of mortality, compared to the CVD-/HL- group, the CVD+/HL- group (HR = 1.88, 95% CI: 1.29–2.73, p = 0.001) and the CVD+/HL + group (HR = 2.19, 95% CI: 1.69–2.83, p < 0.0001) had increased all-cause mortality risks, whereas the CVD-/HL + group did not show statistical significance (HR = 1.24, 95% CI: 0.98–1.57, p = 0.07). The CVD+/HL- group (HR = 3.66, 95% CI: 2.00–6.71, p < 0.0001) and the CVD+/HL + group (HR = 2.91, 95% CI: 1.89–4.47, p < 0.0001) had increased cardiovascular mortality risks, while the CVD-/HL + group did not show statistical significance (HR = 1.24, 95% CI: 0.98–1.57, p = 0.07).
Conclusion
The simultaneous presence of CVD and HL significantly raised the likelihood of death from any cause and cardiovascular events. Patients with either condition may need more vigilant treatment to avoid the onset of the other condition and lower the risk of death.
MBO-DeBERTa : High Performance Fake Review Detection using pretrained DeBERTa Optimized with Monarch Butterfly paradigm
Authors: S Geetha , E Elakiya , R Sujithra @ Kanmani , Das Manas Kamal 
Published: December 2024

Abstract

In this era of internet, e-commerce has grown tremendously and the customers are increasingly relying on reviews for product information. As these reviews influence the purchasing ability of the future customer, it can give a positive or negative impact on the businesses. The effectiveness of online reviews is compromised by fake reviews that provide false information about the product. Fake reviews can not only impact the reputation of the businesses but also involve financial losses. Thus, detection of fake reviews is essential to solve the problem for maintaining the integrity of online reviews. Existing Machine learning models often struggle with deep contextual understanding. Scaling machine learning models while maintaining accuracy and efficiency becomes increasingly challenging as the volume of online reviews continues to grow. Hence, this research work introduces a novel MBO-DeBERTa ,a deep neural network with Monarch Butterfly Optimizer. The proposed model improves the capacity to differentiate between overlapping characteristics of fake and authentic reviews. MBO-DeBERTa attained a classification accuracy of 98% for detecting the fake reviews. The proposed framework is tested on three different datasets such as Amazon, Fake Review and Deceptive Opinion Spam containing 21000,40000 and 1600 reviews respectively which are publicly available in Kaggle. The results show that the suggested model outperforms the current models showing increased accuracy, precision, recall, F1 score and reduced loss rate.
Development of Zn–22Al–xAg filler metals for Brazing 6061 aluminum alloy to T2 copper
Authors: Li Xintao , Zhai Yunlong , Liu Mingyang , Wang Xiu , Wang Tianguo 
Published: December 2024

Abstract

To obtain Cu/Al brazing materials with better overall performances, scanning electron microscopy, X-ray diffraction, and electrochemical testing were used to analyze the influences of trace Ag elements on the microstructure and properties of Zn − 22Al − xAg filler metals. The results show that the liquid phase temperature of Zn − 22Al − xAg is about 450°C, and the trace addition of the Ag element has little effect on the melting point of the filler metal. When the Ag content was varied from 0 − 1.2 wt.%, the reticulated eutectic crystals in the microstructure of as − cast Zn − 22Al − xAg gradually began to connect to form a larger reticulated structure, and the phenomenon of grain − boundary aggregation became more and more obvious in the extruded-state alloy. In addition, when the Ag content was 0.8 wt.%, the spreading area of the filler metal on the Cu plate increased by 30.45% compared with that without Ag. After brazing, the thickness of the compounds in the interfacial layer along the filler metals/Cu decreased significantly, the shape of the compounds was more regular, and the shear strength of the brazed joints reached the maximum value of 40.08 MPa, but the corrosion resistance of the filler metal was slightly decreased compared with that of the Zn-22Al at the same time.
New Approaches to Measurement and Analysis of Population Aging in Twenty-First Century Brazil
Authors: Gonçalves Anderson , Alves Luciana Correia 
Published: December 2024

Abstract

New ways of conceptualizing age and measuring aging have been proposed by Scherbov and Sanderson (2016) for developed countries. This article aims to measure and analyze the aging of the Brazilian population by combining traditional measures with these new approaches. Indicators were calculated based on the concepts of chronological age, prospective age, and relative age. In the application of the prospective approach, data from the Brazilian Institute of Geography and Statistics (IBGE) for Brazil and its five regions (1980–2060) were used; while in the characteristics approach, data from the Longitudinal Study on the Health of the Brazilian Elderly for the year 2015 were used. The results based on the prospective approach indicate an aging at a slower pace than the one projected by traditional measures. In addition, it is verified that some regions of the country are in a more advanced process of population aging. In the case of the characteristics approach, the results support that the populations of the North and Northeast regions have a more accelerated aging process than the national average.
The relationship between frailty and major adverse cardiovascular and cerebrovascular events in Chinese older adults: the mediating effect of lipid accumulation products
Authors: Kang Zhoucheng , Ye Yongli , Xiao Hao , Liu Lingling 
Published: December 2024

Abstract

Background
Previous studies have proven the relationship between frailty and major adverse cardiovascular and cerebrovascular events (MACCE). However, the potential mechanisms need to be further explored. This study aimed to investigate the mediating effect of lipid accumulation products (LAP) in the relationship between frailty and MACCE.
Methods
This study recruited 7901 participants aged 45 and above from wave 2011 and 2018 of the China Longitudinal Study of Health and Retirement (CHARLS). Logistic regression models were employed to examine the relationship between frailty and MACCE and the mediating effects of LAP, using the bootstrap method to confirm path effects.
Results
Frailty group presented the highest risk of MACCE (OR 1.07, 95% CI 1.03–1.10). Frailty directly impacted MACCE (β = 0.045, P = 0.007). Frailty had a significant effect on LAP (β = 12.21, P < 0.01), while LAP had a significant impact on MACCE (β = 11.14, p = 0.014). The mediation effect of LAP accounted for 1.7% of the total effect regarding the frailty with MACCE.
Conclusion
LAP mediate the relationship between frailty and MACCE. Our findings suggest that instructing frailty patients to have a reasonable diet and exercise to control LAP at a low level may be an effective measure to reduce MACCE.
Assessment of Rhizosphere Mycobiome Associated with some Medicinal Plants Growing in Kashmir Himalayas
Authors: Mansoor Mansoor Ahmad Malik , Ahmad Nusrat , Bhat Mohd Yaqub , wani Abdul Hamid 
Published: December 2024

Abstract

The world of microorganisms has been divided into four main groups based on their importance to human life: therapeutically useful, those related to agriculture, dairy-related products, extremophiles, and industrially important microorganisms. This is because both the world of microorganisms and their isolation are too wide. The isolation and maintenance of pure cultures is a requirement for studying the biochemistry and physiology of microbes. The objective of the study was to identify and isolate rhizospheric soil fungi of medicinal plants that grow in the Kashmir Himalayas, especially Valeriana jatamonsi Jones, Lavatera cashmeriana L., and Artemisia absinthium L. The saprophytic and pathogenic fungi isolated were identified on the basis of cultural characteristics on different cultural media and morphological and microscopic characteristics. These fungi belong to Oomycetes, Zygomycetes, and Ascomycetes. Twenty eight fungal species, viz. Aspergillus niger, A. flavus, A. flavipes, A. terreus, A. fumigatus, Fusarium solani, F. oxysporum, F. acutatum, Pencillium chrysogenum, P. citrinum, P. expansum, P. lanosum, Chaetomium globosum, Alternaria alternata, A. solani, Rhizopus stolonifer, Paecilomyces victoriae, Mucor mucedo, Phytophthora cryptogea, Cladosporium cladosporioides, C. sphaerospermum, Curvularia lunata, Trichoderma harzanium, T. aureoviride, T. koningi, T. pseudokoningi, Scopulariopsis brevicaulis, and Trichothecium roseum were isolated. Some of the novel fungi can be used for their antibiotic or antibacterial properties against pathogenic fungi, and the study will be useful in the crucial discovery of soil-based fungi associated to other medicinal plants.
Prefabricated 3D-printed full-arch implant for functional and esthetic rehabilitation: A prosthesis-integrated drill guide solution
Authors: Bai Hao , Wu Wenyan , Ge Xuejun , Wang Zhen 
Published: December 2024

Abstract

Purpose: This study presents a detailed digital workflow for a prefabricated, 3D-printed full-arch fixed implant system, integrating an interim prosthesis with a full or pilot hole drill implant guide. The aim is to offer a precise and efficient protocol for immediate full-arch implant loading, improving both functional and esthetic outcomes.
Methods: A systematic, step-by-step protocol was developed using digital simulation and virtual design to fabricate prefabricated prostheses. These prostheses, in conjunction with surgical drill templates, enable immediate functional and esthetic loading. The integration of the provisional restoration with the drill guide reduces discrepancies in prosthesis repositioning during resin injection to secure the pre-cut temporary cylinders.
Conclusions: This digital approach provides an accurate and cost-effective solution for immediate full-arch implant loading. By minimizing repositioning errors and streamlining digital workflows, it enhances precision and clinical outcomes for full-arch rehabilitation.
Physical Drivers of the November 2023 Heatwave in Rio de Janeiro
Authors: Ivanovich Catherine C. , Sobel Adam H. , Horton Radley M. , Nunes Ana M. B. , Rocha Rosmeri Porfírio , Camargo Suzana J. 
Published: December 2024

Abstract

As extreme heat has not historically been a major hazard for the city of Rio de Janeiro, the November 2023 Heatwave magnitude and timing were staggering. Here we conduct a case study of reanalysis data and high-resolution projections to explore the event drivers and characterize the evolving extreme heat risk in Rio de Janeiro. The heatwave was associated with atmospheric blocking, potentially linked to the 2023-24 El Niño event. Soil moisture declines increased surface sensible heat flux, and elevated sea surface temperatures reduced coastal cooling. The heatwave was preceded by weeks of suppressed precipitation and terminated by rain onset. We also find a significant historical increase in the frequency of high heat days throughout Brazil and a lengthening of the heat season in Rio de Janeiro. The frequency of the city’s austral spring heat extremes is expected to increase further in the future, highly dependent upon our future emissions pathway.
Evaluating AI-Generated Information for Endodontic and Restorative Dental Treatment: A Comparative Study with Standard Patient Education Methods
Authors: Islam Shahid 
Published: December 2024

Abstract

Background:
The application of artificial intelligence (AI) in patient education has the potential to enhance patient understanding and reduce anxiety during dental treatment procedures. This study evaluated the reliability and validity of AI-generated educational content compared to traditional methods in endodontic and restorative dentistry. Furthermore, it investigated the impact of AI-generated information on patient comprehension, anxiety levels, and trust, as well as expert evaluations of its accuracy and comprehensiveness.
Methods:
A cross-sectional study was conducted at a college associated dental hospital. Forty-eight patients undergoing endodontic or restorative procedures were randomly divided into two groups: AI-generated patient education using ChatGPT (Group A) and traditional patient education via verbal and written materials (Group B). Patient satisfaction with clarity, usefulness, comprehensiveness, trust, and anxiety levels was assessed using a Likert scale survey. Additionally, three dental experts evaluated the accuracy and comprehensiveness of the AI-generated content. Data were analysed using independent t-tests and Cohen’s kappa for inter-rater reliability.
Results:
AI-generated content significantly outperformed traditional education across all parameters. Mean scores were higher in Group A for clarity (4.42 vs. 3.25), usefulness (4.63 vs. 3.50), comprehensiveness (4.50 vs. 3.29), and trust (4.00 vs. 2.96) (p < 0.001). Patients in the AI group reported lower anxiety levels (2.63 vs. 3.38) (p < 0.001). Experts also rated AI-generated information as more accurate and comprehensive, with high inter-rater reliability (κ = 0.75, p < 0.001).
Conclusions:
AI-generated content offers clear, comprehensive, and reliable patient education, reducing patient anxiety compared to standard conventional methods. These findings suggest that AI-backed platforms like ChatGPT could play an important role in enhancing patient communication in dental care.