bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive evaluation of watershed ecohydrological risk and ecohydrological satisfaction characteristics from the perspective of hydrological variability
Authors: Yang Huan , Guo Wenxian , Ju Junyan , Zhou Haotong , Bai Xiangyu , Wang Hongxiang 
Published: November 2023

Abstract

This study quantifies the degree of hydrological regime alteration in the middle and lower reaches of the Yangtze River (MLYR) by incorporating the indicators of hydrologic alteration (IHA) along with six additional indicators. The ecohydrological risks are analyzed using the eco-surplus and eco-deficit indicators. Furthermore, the ecohydrological satisfaction index (ESI) is proposed to characterize the degree to which hydrological conditions meet the eco-water demand of rivers. The results indicate that the concentration period is delayed, and the complexity of hydrological processes is increased in the MLYR. Regarding the variability of hydrological conditions, except for Datong station with a change degree below 0.5, the other stations have experienced high changes. At the annual scale, the eco-surplus and eco-deficit of the MLYR basin have changed with the alteration degree of 0.41 and 0.37, respectively, and the eco-deficit of the mainstream exceeds the eco-surplus, indicating high ecohydrological risks. The ESI at Yichang station has significantly decreased, with the most pronounced decrease occurring in February (−0.35). The ESI of tributaries in the MLYR remains stable, with periods when the ESI at Huangzhuang station exceeds 0.8 accounting for more than 80% of the period from 2004 to 2021.
A comprehensive review of climate change's imprint on ecosystems
Authors: Pandit Jyotsana , Sharma Anish Kumar 
Published: November 2023

Abstract

In the 21st century, climate change, which is predominantly caused by human activities, has emerged as a major global concern. This paper examines in depth the profound and multifarious effects of climate change on ecosystems and the ecosystem services they provide. It further investigates the complex connections between climate change and ecosystems, focusing on terrestrial, aquatic, and marine habitats. Notably, we emphasize the unique challenges confronting ecosystems in Southeast Asia, a region of ecological significance where the ocean economy is fundamental to human livelihoods. Climate change threatens ecosystem services in numerous ways, including the provision of food and water, climate regulation, nutrient cycling, and cultural importance. We emphasize the potential transformation of ecosystems from carbon sinks to carbon sources, which has implications for climate control. Moreover, changes in disease vectors and altered landscapes raise concerns for human health and cultural traditions. We emphasize the importance of international cooperation, as exemplified by the Paris Agreement, in mitigating climate change collectively. In addition, we advocate for the inclusion of indigenous communities and traditional ecological knowledge in conservation and restoration initiatives. This paper concludes by emphasizing the profound interdependence between ecosystems and human well-being and the urgency of taking action.
Energy-efficient Approach to Multicomponent Reaction for the Synthesis of
Therapeutically Relevant Heterocycles
Authors: Roy Ritwik , Kumar Rahul , Ansari Md. Nurul , Deshmukh Gauri S. , Rai Animesh Kumar , Tripathi Garima , Kumar Abhijeet 
Published: November 2023

Abstract:
Multi-component reactions have been used as an important synthetic strategy for the synthesis of diverse varieties of therapeutically useful heterocyclic scaffolds. High atom economy, one-pot reaction, and involvement of synthetically simple steps are some of the interesting features that make MCRs greener compared
to conventional methods. The development of environmentally benign and eco-friendly synthetic methods has
been a very demanding area of research in the past few decades. In particular, the development of energyefficient methods has attracted the attention of the research community due to heavy dependence on nonrenewable energy resources, which is depleting fast. Therefore, the present review has highlighted the multicomponent reactions developed under the energy efficient protocol, which mainly include the reactions developed under the microwave, ultra-sonication, mechano-chemical, and photochemical reaction conditions for the
synthesis of therapeutically relevant heterocycles.
Origin Identification of Astragalus membranaceus Based on Electrochemical
Oscillating Fingerprint
Authors: Feng Zufei , Yang Qian , Wang Haixiu , Hu Yangfan , Fan Hua , Zou Yiming , Zhao Yingjuan , Yan Yinglin , Yang Rong , Wu Na 
Published: November 2023

Background::
Astragalus, as a common traditional Chinese medicine (TCM), has many
pharmacological effects, such as protection of nerves, heart, blood vessels, kidneys, etc. It can also
be used to treat colds, numbness, diarrhea, indigestion, and anemia. Because of the current market,
there are a large number of synonyms, synonyms, and multiple sources of one medicine. The use of
near-edge plants in medicine and other fake, substandard as a good phenomenon also prevails.

Methods::
In this study, a method combining electrochemical fingerprinting with SPSS software was
developed to identify the origin of Astragalus membranaceus. The electrochemical fingerprints of
Astragalus membranaceus with different accessions and different origins were examined using an
electrochemical workstation. Then the characteristic parameters were selected to achieve the origin
identification of Astragalus with SPSS software using cluster analysis and discriminant analysis.

Results::
The results of this method divided the origin of Astragalus into the Qinling production area
and other production areas.

Conclusion::
This method can be used to identify the origin of Astragalus membranaceus, which provides
a new method to identify Astragalus membranaceus and other TCM without extracting the active
ingredients of Chinese medicines, in line with the traditional "holistic" treatment concept of TCM.
Neonatal Microbiome: Is it Still Beneficial?
Authors: Shawky Elfarargy Mohamed , Hamdy Elbadry Dalia , Ahmad Ahmad Roshdy , Elhady Hany A. 
Published: November 2023

abstract:
The neonatal microbiome includes all the microorganisms living within or on the
surface of the newborn, as well as their genes (i.e., bacteria, fungi, and viruses), which are composed
mainly of bacteria. The majority of these microorganisms reside in the gastrointestinal
tract (GIT), which is known as the gut microbiome. They include trillions of microbes, which
exceed the total number of neonate cells. In this study, we have examined factors affecting neonatal
microbiome colonization, various phyla of the microbiome in neonates, and their characteristics.
In addition, we have discussed symbiosis and dysbiosis, precipitating diseases, breast
milk’s role in the neonatal gut microbiome, prebiotics, probiotics, postbiotics, and synbiotics, as
well as the airway or respiratory microbiome, and the main role of the neonatal microbiome. We
have also discussed neonatal mycobiome and neonatal virome, as well as the research done on
the neonatal microbiome.
All-trans Retinoic Acid Increased Transglutaminase 2 Expressions in BV-2 Cells
and Cultured Astrocytes
Authors: Takano-Kawabe Katsura , Izumo Tatsuhiko , Minamihata Tomoki Minamihata , Moriyama Mitsuaki 
Published: November 2023

Background::
Activation of microglia and astrocytes has been observed in Alzheimer’s disease (AD). Transglutaminase 2 (TG2) is reported to be activated in AD
and involved in cell proliferation, differentiation, and inflammation. Moreover, amyloid β (Aβ) aggregation is detected as a characteristic
pathology in the AD brain, and is known to be a substrate of TG2. All-trans retinoic acid (ATRA) can modify cell proliferation and differentiation,
and is reported to have therapeutic effects on AD pathology.

Objective::
We aimed to assess the effects of ATRA in microglia and astrocytes on TG2 expression and glial functions.

Methods::
After treatment with ATRA, TG2 expression and TG activity were assayed in both murine microglia BV-2 cells and cultured rat brain astrocytes.
Endocytosis activity in BV-2 cells and Aβ aggregation by astrocytes conditioned medium were also assessed.

Results::
In both BV-2 cells and cultured astrocytes, ATRA increased TG2 expression and TG activity. The increase was blocked by AGN194310, an RA
receptor antagonist. ATRA enhanced the endocytosis activity in BV-2 cells, and the addition of AGN194310 reversed it. The addition of
cystamine, a competitive TG inhibitor, also reduced ATRA-enhanced endocytosis activity. On the other hand, Aβ aggregation was potentiated by
ATRA-treated astrocytes conditioned medium compared to control astrocytes conditioned medium.

Conclusion::
These results suggest that ATRA increased TG2 expression and TG activity via RA receptor in microglia and astrocytes. ATRA-enhanced TGs
might be involved in phagocytosis and Aβ aggregation. Adequate control of TGs expression and function in microglia and astrocytes can be an
important factor in AD pathology.
Influence of Environmental Knowledge and Green Trust on Green Purchase Behaviour
Authors: Li Songyue , Rasiah Ratneswary , Zheng Shufan , Yuan Ziyan 
Published: November 2023

This study investigates the influence of environmental knowledge and green trust on green purchase intentions and behavior, and the mediating role of purchase intentions. Through questionnaire surveys and statistical analysis, the research findings reveal that environmental knowledge and green trust significantly influence green purchase intentions and actual green purchasing behaviour. The results of this study hold significant meaning for the formulation of environmental education and environmental advocacy strategies, contributing to enhancing consumers' environmental awareness and promoting green purchasing behaviour.
Synergizing Community Empowerment: Unveiling the Holistic Framework of Waqf Zakat and Infaq-Funded Agricultural Mosque Projects
Authors: Mohd Ali Siti Nadiah , Arshad Huraizah , Fauzi Nurul Sahida , Ghonim Sheikh Mohamed Abdel Aziz 
Published: November 2023

This qualitative study explores how mosque-managed cash waqf and zakat funds empower asnaf in the mosque district. Cash waqf resources are donated for larger projects and zakat aid asnaf farmers through mosque-managed agriculture. NVIVO 12-analysed mosque XYZ manager interviews highlight their role in innovative asnaf farmer financial mechanisms for Islamic socioeconomic development. Crowdfunded mosque waqf , zakat and infaq improve agricultural sustainability and social welfare. The findings guide policymakers, religious institutions, and financial institutions on scalability in other agricultural communities.
Green Purchase Behavior in Malaysia: A Mediation Effect Analysis Based on the TPB
Authors: Yuan Ziyan , Rasiah Ratneswary , Hou Yan , Li Songyue 
Published: November 2023

This investigation was done by a group of educated consumers residing in Malaysia. The Theory of Planned Behaviour (TPB) was used to study their behavior in purchasing green products. The study used PLS-SEM to conduct an online survey with 330 educated customers in Malaysia. The results showed that the link between green purchasing attitudes, subjective norms, perceived behavioral control, and green purchase behavior among educated Malaysian consumers was mediated by green purchasing intention. However, some of the results were different from previous findings. Perceived behavioral control would be significantly negatively related to green buying behavior. A green purchasing attitude has no direct effect on green buying behavior. This study provides a reference for relevant policymakers or green marketing strategies.
Antecedents of Green Purchasing Intentions among Higher Education Population in Malaysia
Authors: Hou Yan , Rasiah Ratneswary , Yuan Ziyan , Ma Wanxin 
Published: November 2023

This empirical study aims to operationalize the relationship between the direct and indirect influence of factors on green purchase behavior through the mediation of green purchase intention in the context of the Malaysian higher education population. It employed Structural Equation Modeling to assess the strength of relationships between the constructs. The research findings indicate that green purchase intention mediates the relationship between its antecedents and green purchase behavior. This indirect effect is more prominent in the factors of environmental knowledge and green trust. The study helps scholars further understand the facilitating mechanisms of green purchase behavior.
Exploring Adherence to Pelvic Floor Muscle Training in Women Using Mobile Apps: Scoping Review
Authors: Harper Rosie C , Sheppard Sally , Stewart Carly , Clark Carol J 
Published: November 2023

Background
Pelvic floor dysfunction is a public health issue, with 1 in 3 women experiencing symptoms at some point in their lifetime. The gold standard of treatment for pelvic floor dysfunction is supervised pelvic floor muscle training (PFMT); however, adherence to PFMT in women is poor. Mobile apps are increasingly being used in the National Health Service to enable equity in the distribution of health care and increase accessibility to services. However, it is unclear how PFMT mobile apps influence PFMT adherence in women.

Objective
We aimed to identify which behavior change techniques (BCTs) have been used in PFMT mobile apps, to distinguish the core “capability, opportunity, and motivation” (COM) behaviors targeted by the BCTs used in PFMT mobile apps, and to compare the levels of PFMT adherence in women between those using PFMT mobile apps and those receiving usual care.

Methods
We conducted a scoping review of the literature. Published quantitative literature that compared the use of a PFMT mobile app to a control group was included to address the objectives of the study. The electronic bibliographic databases searched included MEDLINE, CINAHL, Scopus, Web of Science, and PEDro, along with CENTRAL. Studies were also identified from reference searching of systematic reviews. Original articles written in English from 2006 onward were included. Nonexperimental quantitative studies, qualitative studies, studies that use male participants, case studies, web-based interventions, and interventions that use vaginal probes were excluded. Narrative synthesis was conducted on eligible articles based on the aims of the study.

Results
Of the 114 records retrieved from the search, a total of 6 articles met the eligibility and inclusion criteria. The total number of participants in the studies was 471. All PFMT mobile apps used the BCT “prompts and cues.” Opportunity was the core COM behavior targeted by the PFMT mobile apps. Higher levels of adherence to PFMT were observed among women using PFMT mobile apps.

Conclusions
Digital “prompts and cues” are a BCT commonly used in PFMT mobile apps, and further research is required to practically assess whether a future randomized controlled trial that investigates the effectiveness of digital “prompts and cues” on PFMT adherence in women can be conducted.
Optimization of Using Multiple Machine Learning Approaches in Atrial Fibrillation Detection Based on a Large-Scale Data Set of 12-Lead Electrocardiograms: Cross-Sectional Study
Authors: Chuang Beau Bo-Sheng , Yang Albert C 
Published: November 2023

Background
Atrial fibrillation (AF) represents a hazardous cardiac arrhythmia that significantly elevates the risk of stroke and heart failure. Despite its severity, its diagnosis largely relies on the proficiency of health care professionals. At present, the real-time identification of paroxysmal AF is hindered by the lack of automated techniques. Consequently, a highly effective machine learning algorithm specifically designed for AF detection could offer substantial clinical benefits. We hypothesized that machine learning algorithms have the potential to identify and extract features of AF with a high degree of accuracy, given the intricate and distinctive patterns present in electrocardiogram (ECG) recordings of AF.

Objective
This study aims to develop a clinically valuable machine learning algorithm that can accurately detect AF and compare different leads’ performances of AF detection.

Methods
We used 12-lead ECG recordings sourced from the 2020 PhysioNet Challenge data sets. The Welch method was used to extract power spectral features of the 12-lead ECGs within a frequency range of 0.083 to 24.92 Hz. Subsequently, various machine learning techniques were evaluated and optimized to classify sinus rhythm (SR) and AF based on these power spectral features. Furthermore, we compared the effects of different frequency subbands and different lead selections on machine learning performances.

Results
The light gradient boosting machine (LightGBM) was found to be the most effective in classifying AF and SR, achieving an average F1-score of 0.988 across all ECG leads. Among the frequency subbands, the 0.083 to 4.92 Hz range yielded the highest F1-score of 0.985. In interlead comparisons, aVR had the highest performance (F1=0.993), with minimal differences observed between leads.

Conclusions
In conclusion, this study successfully used machine learning methodologies, particularly the LightGBM model, to differentiate SR and AF based on power spectral features derived from 12-lead ECGs. The performance marked by an average F1-score of 0.988 and minimal interlead variation underscores the potential of machine learning algorithms to bolster real-time AF detection. This advancement could significantly improve patient care in intensive care units as well as facilitate remote monitoring through wearable devices, ultimately enhancing clinical outcomes.
Afraid to Lose the Client: Client Advocacy Juxtaposed with the AICPA Code of Professional Conduct
Authors: Marshall Leisa L. , Winstead Jack L. , Cao Zhonghua , Varnon Anthony W. 
Published: November 2023

ABSTRACT
Stretching the bounds of the client advocacy role beyond what is sound, credible, and/or reasonable may threaten compliance with the AICPA Code of Professional Conduct (Code) (ET 1.140.010.03). Students evaluate real-life requests of a CPA to determine whether the client advocacy role was stretched and violated compliance with the Code. More specifically, students apply the Code’s principles, select rules of conduct, and threats to analyze and evaluate a CPA’s responses to her client’s requests that she provide bankers with financial and other information and reclassify income as debt. Student perceptions and knowledge pretests and post-tests indicate completion of the case increased students’ knowledge about the Code and required them to apply analytical and critical thinking skills. In addition, students believe the completion of the case was enjoyable and provided a valuable learning experience.
Data Availability: Anonymous data are available upon request.
JEL Classifications: M410; M420.
Serum Lipid Profile in Patients with Lichen Planus
Authors: Shaila Khyrun Nahar , Sikder Md. Akram Ullah , Chowdhury Md. Abu Hena , Nasim Rehnuma , Wahab Farhana , Amin MST Zinat , Layla Khushbun Nahar 
Published: November 2023

Background: Lichen planus (LP) is a chronic inflammatory disease of the skin, mucous membrane, and adnexa. There have been reports of abnormal lipid parameters being increased in patients with LP. This study evaluated the serum lipid profile in patients with LP and the control group.
Materials and Methods: This case-control study was conducted in the department of Dermatology & Venereology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka. Patients with LP were taken as cases and patients with skin diseases other than LP were taken as control. Total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured by an enzymatic method.
Results: This study showed higher mean TC (187 vs 168, p-value 0.01), TG (147 vs 117, p-value 0.04), LDL-C (118 vs 105, p-value 0.04) in patients with LP than control. HDL-C level shows no significant differences (38 vs 40, p-value 0.50). Odds ratio (OR) for high TC, TG & LDL-C are 3.6 (95% CI: 1.26-10.56), 2.3 (95% CI: 0.87-6.31) & 4.0 (95% CI: 1.4-11.6) respectively whereas OR for low HDL-C is 0.74 (95% CI: 0.31-1.77). Regarding atherogenic index, LDL-C/HDL-C and TC/HDL-C ratio was significantly higher in LP patients (p-value 0.001 & 0.002 respectively).
Conclusion: Analysis of lipid parameters reveals significantly higher levels of total cholesterol, triglyceride & LDL-C in LP patients. The atherogenic index is also significantly higher in LP patients which is a sensitive predictor of cardiovascular risk.
Nexus Between Fiscal Policy Mechanism and Stock Market Output in a Growing Economy
Authors: Omodero Cordelia Onyinyechi 
Published: November 2023

Abstract
Fiscal policy methods are critical to a country’s economic stability. However, when fiscal policy changes occur, all economic sectors react either favorably or adversely. The stock market is not spared from this reaction because it is likewise an important aspect of the economy. From 1998 through 2020, the inquiry looks at the link between fiscal policy mechanisms and stock market performance. The Levin, Lin, and Chu test is used to determine data stationarity. At zero latency, all factors remain constant. Other screening tools employed indicate that all datasets and models utilized in this work are of satisfactory quality. Pearson Product Moment Correlation (PPMC) is a statistical method used to investigate the link between fiscal policy plans and stock market results. Correlation coefficients quantify the strength of a link between two variables. The study’s findings indicate that fiscal measures such as tax income, domestic borrowing, government capital, and regular expenditure have a substantial and extremely strong positive relationship with Nigerian stock market returns. The study also indicates that foreign borrowing is harmful to Nigeria’s stock market advancement. Other data indicate that foreign borrowing has a modest to very weak link with other fiscal policy methods when compared to the outcomes of the other instruments. As a result, the report recommends increased tax income collection and a significant reduction in the country’s foreign debt.