bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does the Nutrient Adequacy Ratio (NAR) Predict Metabolic Profile and Glycemic Status Among the Obese Population?
Authors: Ghaffari Sarghein Mehdi , Abbasalizad Farhangi Mahdieh , Nikrad Negin 
Published: January 2025

Background: Metabolic syndrome (MetS) is defined as the existence of metabolic profile risk factors and impaired glycemic status such as dysglycemia, hyperinsulinemia, insulin resistance (IR), dyslipidemia, and hypertension. Several studies demonstrated that a diet that promotes proper nutritional intake; plays a critical role in the prevention and control of MetS. Our goal for conducting this cross-sectional study was to investigate any potential relationships between the nutrient adequacy ratio (NAR) and cardiometabolic risk variables within obese individuals. individuals. Methods: In the present cross-sectional study, 338 seemingly healthy participants who were overweight or obese were enrolled. The assessment of dietary consumption was conducted through a validated questionnaire comprising 168 items Then NAR was calculated for all ten vitamins and six minerals. Biochemical variables are measured by the method of enzyme-linked immunosorbent assay (ELISA). Also, LDL-C (low-density lipoprotein-cholesterol), QUICKI (quantitative insulin-sensitivity check index), and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) were calculated using the suggested formulas. Results: Subjects in the upper NAR tertiles exhibited a significantly higher percentage of fat-free mass ( P = .002), appetite ( P = .002), and basal metabolic rate (BMR) ( P = .002). In addition, Participants in the upper tertiles of NAR consumed a greater amount of energy and all vitamins and minerals included in NAR and meat, fish and poultry (MFP) ( P < .001) as well as cholesterol, monounsaturated fatty acid (MUFA), and polyunsaturated fatty acid (PUFA) ( P < .05). Furthermore, no association was shown between NAR and metabolic profile and glycemic status. Conclusion: According to our findings, a higher nutrient adequacy ratio (NAR) was associated with higher fat-free mass but no significant link between NAR and metabolic profile risk factors was observed.
Mortality in ischaemic stroke patients without standard modifiable risk factors: An analysis of the Riksstroke registry
Authors: Beharry James , Yogendrakumar Vignan , Barros Guilherme W. F. , Davis Stephen M , Norrving Bo , Figtree Gemma A , Donnan Geoffrey , Euler Mia von , Eriksson Marie 
Published: January 2025

Introduction: Little is known of the long-term prognosis of patients with acute ischaemic stroke in the absence of standard modifiable stroke risk factors (SMoRFs). In acute coronary syndromes, patients without modifiable risk factors have a higher mortality rate. We analysed data from the Swedish Stroke Register to determine survival of patients without SMoRFs following an ischaemic stroke. Patients and methods: We identified adult patients with first-presentation acute ischaemic stroke between 2010 and 2020. Patients were considered to possess a SMoRF if they had one of: hypertension, diabetes, hyperlipidaemia, atrial fibrillation or an active smoking history. We compared mortality in patients with and without SMoRFs following first-presentation ischaemic stroke using cox regression models. We also assessed the combined endpoint death and dependency (mRS 3–6) at 3 months via logistic regression models. Results: Of 152,588 patients with ischaemic stroke, hypertension (58.7%) and atrial fibrillation (27.3%) were the most common risk factors. 34,019 patients (22.3%) had no SMoRFs. After a first-presentation ischaemic stroke, patients without SMoRFs had a lower risk of death than patients with one or more SMoRFs (HR 0.58 [95% CI 0.57–0.59]). The absence of SMoRFs was associated with lower odds of death and dependency at 3 months in logistic regression models (OR 0·60 [95% CI 0.58–0.62]). Conclusion: One in five patients with acute ischaemic stroke had no standard modifiable stroke risk factors. These patients have lower risk of death compared to patients with one or more SMoRFs.
Service preferences among postpartum women (non-)affected by different types of intimate partner violence: insights from the cross-sectional study INVITE
Authors: Hausmann Laura M. , Seefeld Lara , Mojahed Amera , Mack Judith T. , Garthus-Niegel Susan , Schellong Julia 
Published: January 2025

Abstract

Background
Women in the postpartum period are at greater risk of intimate partner violence (IPV), which may cause physical, sexual, or psychological harm and have a long-lasting negative impact on mother and child. Seeking help in case of IPV in the postpartum period can be difficult.

Objective
The purpose of this study was to examine service preferences among postpartum women in Germany (non-)affected by IPV.

Methods
In the cross-sectional study INVITE, postpartum mothers (n = 3,509) were interviewed via telephone. Using the WHO-Violence Against Women Instrument (WHO-VAWI), women were divided into groups: non-affected women and women affected by psychological, physical, and/or sexual IPV.
Using analyses of variance, group differences regarding preferred services and modes of service provision were assessed. Examined service domains were psychosocial services (e.g., women´s shelter or self-help groups), medical services (e.g., gynecologist or emergency room), and midwives. Modes of service provision included direct communication (e.g., in person or video conference) and indirect communication (e.g., chat or e-mail).

Results
People from the women's social environment (e.g., family, friends) and specialized IPV services, such as women's shelters, were the most preferred support. Regarding service categories, women who experienced any type of IPV rated all three service domains less likely to be used than non-affected women. Most preferred provision mode was “in person”. Women affected by physical and/or sexual IPV rated direct modes more negatively than non-affected women. However, there were no differences between (non-)affected women regarding indirect modes, such as e-mails or apps.

Discussion
The present results indicate that services were rated less likely to be used by postpartum women affected by IPV. Potential barriers which lead to these ratings need to be investigated. Efforts should be made to increase awareness of IPV and the beneficial effects of support.
Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest
Authors: He Chunmei , Li Yushan , Dai Xiaoxia , Liu Na , Wu Fangfang , Yan Jiangbo , Gao Meiping , Liang Yonghui , Yuan Zuoqiang , Hao Zhanqing , Yin Qiulong 
Published: January 2025

Abstract
Background
Biomass is the result of long-term production and metabolism in forest ecosystems and is an important indicator of the carbon storage capacity of forests. Although there is increasing empirical evidence supporting the positive impact of biodiversity on forest productivity and biomass, there is still uncertainty about the relative importance of tree diversity in determining carbon storage compared to other factors such as environmental conditions, functional characteristics and stand structure, especially in complex forest ecosystems.

Methods
In this study, based on dataset from a 25-ha forest dynamics monitoring plot, we investigated the effects of tree diversity, environmental variables, functional traits and stand structural attributes on above-ground biomass (AGB). Spearman correlation coefficients were used to analyze the correlations between AGB and the variables. The relative importance of these factors in influencing AGB variation was assessed using a random forest model. Structural equation model was used to determine the direct or indirect effects of each factor on AGB.

Results
The results showed a negative, though not significant, correlation between species richness and AGB. There was a significant positive correlation between leaf dry matter content and leaf tissue density, implying that more leaf photosynthetic products were utilized for dry matter accumulation. The variation in AGB was mainly explained by the maximum diameter at breast height and the coefficients of variation of diameter at breast height, suggesting that large diameter individuals contribute disproportionately to AGB. In addition, AGB was also influenced by topographic factors (i.e., altitude and slope), while there was no significant correlation with soil variables.

Conclusions
This study reflects the response of AGB to different influencing factors. Our study emphasizes that stand structure attributes may be more suitable as predictors of forest AGB than species richness.
Relationship between dietary fiber physicochemical properties and feedstuff fermentation characteristics and their effects on nutrient utilization, energy metabolism, and gut microbiota in growing pigs
Authors: Yong Feng , Liu Bo , Li Huijuan , Hao Houxu , Fan Yueli , Datsomor Osmond , Han Rui , Jiang Hailong , Che Dongsheng 
Published: January 2025

Abstract
Background
There is a growing focus on using various plant-derived agricultural by-products to increase the benefits of pig farming, but these feedstuffs are fibrous in nature. This study investigated the relationship between dietary fiber physicochemical properties and feedstuff fermentation characteristics and their effects on nutrient utilization, energy metabolism, and gut microbiota in growing pigs.

Methods
Thirty-six growing barrows (47.2 ± 1.5 kg) were randomly allotted to 6 dietary treatments with 2 apparent viscosity levels and 3 β-glucan-to-arabinoxylan ratios. In the experiment, nutrient utilization, energy metabolism, fecal microbial community, and production and absorption of short-chain fatty acid (SCFA) of pigs were investigated. In vitro digestion and fermentation models were used to compare the fermentation characteristics of feedstuffs and ileal digesta in the pig’s hindgut.

Results
The production dynamics of SCFA and dry matter corrected gas production of different feedstuffs during in vitro fermentation were different and closely related to the physical properties and chemical structure of the fiber. In animal experiments, increasing the dietary apparent viscosity and the β-glucan-to-arabinoxylan ratios both increased the apparent ileal digestibility (AID), apparent total tract digestibility (ATTD), and hindgut digestibility of fiber components while decreasing the AID and ATTD of dry matter and organic matter (P < 0.05). In addition, increasing dietary apparent viscosity and β-glucan-to-arabinoxylan ratios both increased gas exchange, heat production, and protein oxidation, and decreased energy deposition (P < 0.05). The dietary apparent viscosity and β-glucan-to-arabinoxylan ratios had linear interaction effects on the digestible energy, metabolizable energy, retained energy (RE), and net energy (NE) of the diets (P < 0.05). At the same time, the increase of dietary apparent viscosity and β-glucan-to-arabinoxylan ratios both increased SCFA production and absorption (P < 0.05). Increasing the dietary apparent viscosity and β-glucan-to-arabinoxylan ratios increased the diversity and abundance of bacteria (P < 0.05) and the relative abundance of beneficial bacteria. Furthermore, increasing the dietary β-glucan-to-arabinoxylan ratios led to a linear increase in SCFA production during the in vitro fermentation of ileal digesta (P < 0.001). Finally, the prediction equations for RE and NE were established.

Conclusion
Dietary fiber physicochemical properties alter dietary fermentation patterns and regulate nutrient utilization, energy metabolism, and pig gut microbiota composition and metabolites.
FinTech: a literature review of emerging financial technologies and applications
Authors: Kou Gang , Lu Yang 
Published: January 2025

AbstractFuture financing has the potential to evolve into a forward-looking and ingenious system that can enrich diverse technologies. This investigation focuses on five attractive emerging technologies tied to the finance, namely artificial intelligence (AI), machine learning, blockchain, augmented reality (AR)/virtual reality (VR), and quantum mechanics. Within the financial milieu, there is an ongoing pursuit for more precise, optimized, secure, and agile solutions capable of managing multifarious financial undertakings. Emerging technologies present remarkable modalities for achieving these objectives. This scholarly exposition expounds upon the creation of emerging technologies within the financial world, while concurrently deliberating upon the prospective applications of these technologies within financial systems. Given the nascent stage of development that characterizes these emerging technologies, the advancement of financial performance emerges as a substantial challenge owing to both technological and operational advantages. Technology-oriented financing has emerged as an essential trajectory for shaping the future of finance.
Analyzing the barriers to blockchain adoption in supply chain finance using an integrated interval-valued Fermatean fuzzy RAFSI model
Authors: Wang Weizhong , Chen Yu , Wang Yi , Deveci Muhammet , Al-Hinai Amer , Kadry Seifedine 
Published: January 2025

AbstractMany attempts have been made to identify barriers to blockchain adoption in supply chain; however, barriers to blockchain adoption in supply chain finance (SCF) are underexplored. This study prioritizes barriers to blockchain adoption in SCF and evaluates the barrier level of each alternative participant. We propose an integrated decision model to prioritize the barriers and evaluate their levels of alternative participants. To determine the barriers, we conducted a literature review. We then introduce an integrated weight calculation method by combining interval-valued Fermatean fuzzy (IVFF)-optimistic-pessimistic-utility values-based and IVFF-RS (ranking sum) methods to determine the barrier weights. To evaluate the barrier level of each alternative participant in SCF, the integrated IVFF-RAFSI (Ranking of Alternatives through Functional Mapping of Criterion Subintervals into a Single Interval) model is presented to rank the barrier, which uses a power-weighted aggregation operator to fuse experts’ opinions. A case study demonstrates the practicality of the integrated IVFF-RAFSI model. The results show that uncertain and competitive markets (weighted at 0.0676) are the most significant barriers. This finding also suggests that small and medium-sized processing enterprises have the highest barriers to blockchain adoption. Sensitivity and comparative analyses validate the steadiness and competency of the proposed model. These results indicate that the proposed methodology provides a systematic technique for analyzing barriers to blockchain applications in SCF.
Market value of R&D, patents, and CEO characteristics
Authors: Wang Lipeng , Verousis Thanos , Zhang Mengyu 
Published: January 2025

AbstractThe contribution of knowledge capital to firm value has increased significantly, from 25% in the 1970s to 45% in the 2010s (Belo et al. in Decomposing firm value J Financ Econ 143:619–639, 2022). However, what influences firms’ ability to maximize the effect of knowledge capital on firm value? Drawing on insights from upper echelons, agency, and behavioral agency theories, we show that CEO characteristics are crucial in enabling firms to take advantage of knowledge stock. We empirically demonstrate that short-term CEO compensation structures are detrimental to a firm’s ability to take advantage of its knowledge stock. We further show that CEO power enhances knowledge stock and R&D intensity. Our study provides direct empirical evidence of the importance of CEO compensation structure and corporate governance in understanding firm value in a knowledge economy.
Relationship between green bonds and carbon neutrality: evidence from top five emitting countries’ sectoral CO2 emissions
Authors: Pata Ugur Korkut , Kartal Mustafa Tevfik , Ahmed Zahoor , Sinha Avik 
Published: January 2025

AbstractThis study analyzes the influence of green bonds on carbon neutrality. It examines the daily data of sectoral CO2 emissions of the top five CO2-emitting nations from January 2, 2019 to December 30, 2022 using wavelet transform coherence, quantile-on-quantile regression, Granger causality in quantiles, and quantile regression approaches. The results revealed that (i) green bonds are strongly related to sectoral CO2 emissions; (ii) green bonds reduce transport sector CO2 emissions in China, the US, and Japan while causing an upsurge in India and Russia; (iii) green bonds reduce industrial sector CO2 emissions only in the US; (iv) green bonds have a declining influence in energy sector CO2 emissions at lower quantiles in India, China, and the US, whereas the impact increases at higher quantiles; and (v) green bonds decrease residential sector CO2 emissions in the US, Russia, and Japan. The study revealed that green bonds help reduce CO2 emissions in the residential sector in various quantiles. Therefore, the US, Russia, and Japan should raise household awareness of green energy utilization by promoting them with green bonds. In addition, green bonds can effectively reduce transportation sector CO2 emissions in China and the US. Therefore, the policymakers of the two global powers should contribute to global CO2 reduction by promoting green transportation and clean energy transition in the transportation sector through green bonds. Thus, green bonds can play an effective role in the fight against global warming.
A novel fuzzy decision-making approach to pension fund investments in renewable energy
Authors: Yüksel Serhat , Eti Serkan , Dinçer Hasan , Meral Hasan , Umar Muhammad , Gökalp Yaşar 
Published: January 2025

AbstractPension fund must consider some significant issues when making renewable energy project investment decisions. It is necessary to determine the most important factors and prioritize the indicators. Accordingly, the purpose of this study is to conduct a priority analysis of the determinants of investment in renewable energy projects by pension funds. This study constructs a novel fuzzy decision-making model. First, five indicators for this process are weighted using an entropy methodology based on sine trigonometric Pythagorean fuzzy sets. The CRITIC methodology is also considered to make a comparative evaluation. Second, five different clean energy investment alternatives for pension funds are ranked using the RATGOS methodology. Similarly, this ranking analysis is also made by considering TOPSIS technique to check the reliability of the results. The main contribution of this study is the creation of a new and comprehensive fuzzy decision-making model to identify the most important factors in renewable energy project investments for pension funds. The proposed model uses the RATGOS technique to rank clean energy investment alternatives for pension funds. By considering the geometrical mean in the RATGOS calculation process, criticisms related to existing ranking techniques can be overcome. The use of sine trigonometric Pythagorean fuzzy numbers provides significant benefits to the quality of the proposed decision-making model. The defuzzification process can be implemented appropriately using these sets. Therefore, this study’s findings pave the way for investors to make investment decisions under these circumstances. It is concluded that the most important criterion is risk minimization. Effective regulations are another critical issue. Furthermore, the ranking results indicate that the most suitable renewable energy alternative is green bonds. The comparative results with STPFY-TOPSIS show that the proposed model generates coherent and reliable findings.
Graphical abstract
Drug screening for ischemic stroke using larvae and adult zebrafish model: a review
Authors: Nayaka Ni Made Dwi Mara Widyani , Adnyana I Ketut , Anggadiredja Kusnandar , Wibowo Indra 
Published: January 2025

AbstractIschemic stroke (IS) is the most recorded case of stroke that is caused by decreased blood flow to the brain. Nowadays, therapeutical agents for IS are limited and they have not shown maximum clinical results. Therefore, the exploration of new candidates for IS treatment continues to be done. Zebrafish as one of the animal models has its advantages and currently is being developed to be incorporated into the drug discovery pipeline of IS. This review explores the latest applications of the zebrafish model in screening potential therapeutic agents for IS. Key factors related to the experimental design such as developmental stage and strain, routes of drug administration, induction methods, and experimental parameters are also elaborated. Finally, this review offers future recommendations for the use of zebrafish in the pre-clinical study of IS. This review is beneficial as a reference for establishing drug screening protocols using the zebrafish IS model.
Treatment Patterns for Metastatic Urothelial Carcinoma Across Eight Mexican Centers: The ALEBRIJE Study
Authors: Beas-Lozano Evelyn Lilian , Remolina-Bonilla Yuly A. , Caballero Rosa , Sobrevilla-Moreno Nora , Perez-Perez Perla , Díaz-Alvarado Maria Guadalupe , Zayas-Villanueva Omar Alejandro , Martinez-Castañeda Erika Adriana , Campos-Gomez Saul , Cardoso-Aparicio Luis Arturo , Mendoza-Oliva Dolores , Bourlon Maria T. 
Published: January 2025

PURPOSE
Metastatic urothelial carcinoma (mUC) poses a challenge to health care systems, given its treatment complexity and mortality. We aimed to describe the characteristics, treatment patterns, and survival outcomes of Mexican patients with mUC.

METHODS
A retrospective study was conducted across eight centers for adults with mUC from January /2001 to December 2021. We recorded medical history, eligibility for first-line platinum therapy, treatment lines received, and access to novel drugs. Descriptive statistics were used and survival analysis, including Kaplan-Meier curves and Cox proportional hazards model, was performed.

RESULTS
We identified 379 patients with mUC; 37 were excluded, and 76% was male, with a median age of 67 years. The median follow-up was 8.4 months. Among those who received a first-line treatment (65%), cisplatin-based chemotherapy (45%) was the most common followed by carboplatin (39%). Causes of cisplatin ineligibility were Eastern Cooperative Oncology Group ≥2 (41%) and glomerular filtration rate <60 mL/min (33%). The overall response rate to up-front platinum therapy was 33%, with a median progression-free survival of 6.1 months (95% CI, 4.9 to 6.9). Second-, third-, and fourth-line treatment was given to 24.6%, 8.8%, and 3.5%, respectively. Chemotherapy was the most common regimen prescribed. Access to novel drugs was limited, 14 patients received avelumab, and 25% received immunotherapy as second-line treatment. The median overall survival was 11.8 months (95% CI, 10.2 to 15.2). Multivariate analysis showed that first-line treatment was independently associated with better survival, whereas poor performance status and visceral disease were associated with worse survival.

CONCLUSION
To our knowledge, these data represent the first effort to delineate treatment trends of mUC in Mexico. First-line treatment prescription and rates of progression to platinum therapy were higher than those described worldwide. Factors affecting survival included performance status, first-line treatment, and visceral disease. Our study highlights unequal access to novel treatments, underscoring the need for equitable care.