bluuebunny/crossref_metadata_2025_split huggingface dataset:
UPLC-MS metabolite profiling and antioxidant activity of Sanghuangporus sanghuang extract
Authors: Wang Weike , Lu Na , Jiang Cheng , Chen Guanping 
Published: January 2025

Background
The objective of the present study is to examine the total phenolic and flavonoid content of an ethanol extract of Sanghuangporus sanghuang and to evaluate its phytochemical properties, antioxidant activity, and capacity to protect DNA from damage. This pharmaceutical/food resource mushroom may serve as a novel substitute functional food for health-conscious consumers, given its promising source of phenolics and flavonoids.

Methods
S. sanghuang ethanol extract (SEE) was evaluated for total phenolic and flavonoid contents, while UPLC-MS analysis was used for terpenoids, phenylpropanoid, flavonoids, steroidal, phenols identification, and function prediction. Antioxidant and anti-DNA damage activities were tested in vitro using ferric reducing antioxidant power (FRAP), 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azino-bis-3-ethylbenzotiazolin-6-sulfonic acid (ABTS), and DNA damage protection assay.

Results and Conclusion
Total phenolic content (TPC) in SEE was 385.38 ± 1.36 mg GA/g extract, while total flavonoid content (TFC) was 298.22 ± 2.38 mg QE/g extract. The extracts exhibited high antioxidant and free radical scavenging activities with relatively stronger free radical scavenging activity. A total of 491 metabolites were investigated by Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Most of the top 20 compounds were predicted to have various functions like antioxidant, anti-cancer and anti-inflammatory. This study highlighted S. sanghuang was a beneficial source of phenolics and flavonoids. It contains potential natural antioxidant that could be used as a lead contender in the development of antioxidant medicines for the treatment of a wide range of oxidative stress-related illnesses.
A nomogram for predicting bladder dysfunction in patients with type 2 diabetes mellitus: a retrospective study
Authors: Hu Yingjie , Hao Fengming , Wang Ying , Chen Ling , Wen Lihua , Li Jue , Ren Wei , Cai Wenzhi 
Published: January 2025

Background
Diabetic bladder dysfunction (DBD) is a common urinary complication in diabetic patients, significantly affecting their overall well-being and quality of life, and placing a considerable burden on healthcare resources. Early prevention is crucial; however, the absence of a simple and effective tool to predict DBD onset remains a significant challenge. This study aims to identify risk factors for DBD in patients with type 2 diabetes mellitus (T2DM) and to develop a predictive nomogram for clinical application.

Methods
This retrospective study included patients with T2DM treated at two hospitals. Data from patients treated at one hospital between January 2020 and August 2023 were used to create the training set, while data from patients treated at another hospital between March 2022 and October 2023 were used to create the validation set. Patients were classified into two groups based on the presence or absence of DBD: the DBD group and the non-DBD group. Significant factors identified via bivariate analysis (P < 0.05) were incorporated into multivariate logistic regression to construct a predictive model, and a corresponding nomogram was developed. The model’s performance was assessed using receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA), and clinical impact plots (CIC), with validation performed through 1,000 bootstrap resamplings.

Results
A total of 1,010 participants were included in this study, with a DBD incidence rate of 38.81% (392/1,010). Multivariate logistic regression analysis identified HbA1c, PCP-2h, DPN, TCO2, PAB, T-Bil, I-Bil, IgE, URBC, UI and UR as independent risk factors for DBD. A nomogram was constructed based on these factors. Both internal and external validations demonstrated the good predictive performance of the nomogram. The area under the curve (AUC) for the training and validation datasets was 0.897 and 0.862, respectively. The calibration curve showed a high degree of consistency. Results from DCA and CIC indicated that the prediction model had high clinical utility.

Conclusions
A predictive model and nomogram for DBD in T2DM patients were developed, demonstrating strong accuracy and clinical utility, aiding in early DBD risk assessment and intervention.
Visitor Satisfaction of Agritourism on the Island of Lombok, Indonesia
Authors: Prasony Ilham Akbar Nur , Sukardi L. , Sjah Taslim 
Published: January 2025

This research aims to analyze the level of visitor satisfaction, the factors that affect visitor satisfaction, and the visitor satisfaction index, and design a strategy for developing agritourism attractions on the island of Lombok. The method used in this research is quantitative, supported by a qualitative approach. The respondents were 150, and the sampling technique used convenience sampling. Data analysis used included Structural Equation Modeling - Partial Least Square (SEM-PLS), Customer Satisfaction Index (CSI), and Importance Performance Analysis (IPA). The results showed visitor satisfaction, with the highest percentage in the manager's friendliness indicator and the lowest percentage in the information media facilities indicator. Factors directly influencing visitor satisfaction include price, manager services, and the agritourism environment. In contrast, agritourism products, tourism experiences, and agritourism facilities have no direct influence on visitor satisfaction. Tourism experience factors and agritourism products contribute to increasing satisfaction, and agritourism facilities contribute to decreasing visitor satisfaction. The visitor satisfaction index is at the satisfied level. The strategy for developing agritourism attractions on the island of Lombok is to improve the performance of indicators in quadrant I as the main priority for development, maintain the performance of indicators in quadrant II, which are the strengths of agritourism attractions and consider improving performance in quadrant III and Quadrant IV, indicators in this quadrant can be ignored.
Behavioural Finance in Banking and Management: A Study on the Trends and Challenges in the Banking Industry
Authors: Ranjan Ritesh 
Published: January 2025

By incorporating psychological insights into financial decision-making and questioning conventional economic theories, behavioral finance has become a revolutionary field. Behavioral finance offers a sophisticated understanding of how social influences, emotions, and cognitive biases impact financial behaviors, organizational choices, and market outcomes in banking and management. The function of behavioral finance in improving these industries' decision-making procedures is examined in this paper. Behavioral finance in banking emphasizes how biases like herd mentality, loss aversion, and overconfidence affect risk assessment, loan decisions, and investing choices. It highlights how crucial it is to comprehend consumer behavior in order to create goods and services that satisfy a range of risk tolerances and financial requirements. Banks may increase consumer financial literacy, improve user experience, and promote long-term financial habits by implementing behavioral insights. Behavioral finance plays a role in management by supporting resource allocation, performance assessment, and strategy planning. Biases like anchoring and confirmation bias are common among managers and can skew assessments and result in less-than-ideal choices. To reduce these risks, behavioral frameworks promote the application of debiasing strategies including scenario analysis and organized decision-making. Additionally, they encourage the implementation of incentive schemes that match personal aspirations with corporate aims. There are many advantages to integrating behavioral finance into banking and management, such as better stakeholder interest alignment, increased customer happiness, and better risk management. To reach its full potential, nevertheless, issues including cultural differences, ethical concerns, and the difficulty of behavioral therapies must be resolved. In order to close the gap between theoretical understanding and practical applications, this article highlights the importance of behavioral finance as a tool to promote resilience, innovation, and efficiency in the ever-changing banking and management landscapes.
A Comparative Study to Assess Medication Adherence of Patients with Communicable and Non-communicable Diseases Attending Primary Health Centres in a Rural Hospital of India
Authors: Anushree Shirodkar , Madhavi Mankar , Ratnaprabha Pedhambkar , Pradeep Sawardekar 
Published: January 2025

Introduction: Medication adherence is an important factor in aiding the efficacy of a treatment plan for communicable and non-communicable diseases alike. Non-adherence to medication leads to several detrimental effects on the health of a person and also leads to strain on the health system due to the overload of managing patients with complications.
Objective: This study aims to assess medication adherence of communicable and non-communicable disease treatment under different parameters like age, sex of the patients, type of disease and socioeconomic status.
Methods: The cross-sectional study was conducted by face to face interview with 330 patients,165 in each group attending Primary Health Centres in selected area of study. Interviews were conducted using the MARS scale by following proper protocols to maintain privacy and the data was recorded in real time for analysis.
Results: Overall 30% of patients were in the age group of 31-40 years in the communicable disease group and 31% of patients were in the age group 61-80 years in the NCDs group. 51.5% of the total participants were males in both the groups. The study reveals insightful information as 41.7% and 58.3% of study subjects were non-adherent to medication in the Communicable disease and NCD’s group respectively. 36% non-adherence to medication was seen among 61-80 years of age group of patients. 55.7% of Males showed non- adherence to medication as compared to females (44.3%) (p<0.05). Important reasons of non-adherence to medication were forget to take medicine (78% & 54%), lack of attention on medication schedule (68% &41%) and feeling better after taking medication so stopped (75% & 60%) in the NCD’s & Communicable Diseases group respectively.
Conclusion: Adherence to medication was poor among patients with non-communicable diseases, elderly patients, males in the age group of 21 to 40 years and unemployed patients.
A Relational Analysis of Level of Knowledge and Adoption of Mango Growers in Odisha, India
Authors: Padhan Subarnna Keshari Haripriya , Mukhopadhyay Siddhartha D. 
Published: January 2025

Odisha is the 8th largest producer of Mango state in India and occupies 61.00 % of total fruit cultivated areas of the state. The present research has been conducted to ascertain the level of knowledge and adoption of improved farm practices by the Mango farmers as well as to ascertain the association between selected socio-personal, agro-economic, and communication variables with level of knowledge and adoption. The study was conducted in two purposively selected One District One Product (ODOP) districts for Mango, i.e. Subarnapur & Angul district of Odisha. Ten aspects of knowledge and nine broad aspects of adoption were considered for the present study. Data were collected from 180 respondents, 90 from each study district and analysed through statistical tools like Knowledge and Adoption Index, frequency, percentage, mean, standard deviation, correlation, multiple and step wise regression and ANOVA. It was found that Majority of the respondents were having medium and semi-medium level of overall knowledge and adoption respectively with no significant difference between study districts in this regard. Selected variables i.e. age, self-education, family-education, Mango farming experience, social participation, land holding, cultivable land, area under Mango, annual family income, overall information seeking behaviour, overall marketing behaviour, and overall adoption were found influencing the overall knowledge. Whereas, in case of level of adoption, all 11 variables out of the above mentioned 12 variables except overall level of adoption along with Mango yield index and overall knowledge were found having significant and strong correlation with overall adoption. The adjusted R2 were found 0.788 and 0.766 respectively for regression of overall knowledge and overall adoption with selected socio-personal, agro-economic and communication variables. The step wise regression of overall knowledge with selected variables showed that, 5 variables viz, overall information seeking behaviour, overall marketing behaviour, self-education, Mango yield index and family education appeared as most important variables that explained the variation in overall knowledge level. Similarly, while doing regression of overall adoption with selected variables, 3 variables viz., overall knowledge, cultivable land, Mango yield index appeared as most important variables that explained the variation in overall adoption.
Mediating Effect of Pain Sensitization on the Paradoxical Relation of Taking Opioids to Pain Severity in Knee Osteoarthritis: The Multicenter Osteoarthritis Study
Authors: Aoyagi Kosaku , Jafarzadeh S. Reza , Carlesso Lisa , Frey Law Laura , Lewis Cora E. , Nevitt Michael , Neogi Tuhina 
Published: September 2023

ObjectiveOne of the less understood adverse effects while taking opioids is the paradoxical increase in pain, known as opioid‐induced hyperalgesia (OIH). We sought to determine whether pain sensitization mediates the relation of taking an opioid to pain severity in people with knee osteoarthritis (OA).MethodsWe included participants in a National Institutes of Health–funded cohort study of people with or at risk of knee OA. Participants were categorized into opioid and nonopioid analgesic groups at baseline. Western Ontario McMaster Universities OA Index (WOMAC) pain two years later was assessed as the outcome. We used causal mediation analysis to assess the mediating role of pain sensitization, quantified by changes in pressure pain threshold (PPT) at the wrist and patella over two years, on the effect of taking an opioid on WOMAC pain two years later.ResultsWe included 296 participants who took opioids and 1,070 participants who took nonopioid analgesics. Compared with taking nonopioid analgesics, taking opioids was associated with greater pain two years later. This relation was mediated by 0.05‐ and 0.08‐unit changes in wrist PPT (95% confidence interval [CI] 0.01–0.10) and patellar PPT (95% CI 0.02–0.14), respectively. When we assessed any worsening in WOMAC pain score over two years, taking opioids, compared with taking nonopioid analgesics, had 2% and 5% higher odds of experiencing any worsening pain mediated by changes in wrist PPT (95% CI 0.99–1.04) and patellar PPT (95% CI 1.01–1.09), respectively.ConclusionPain sensitization had small mediating effects on the paradoxical phenomenon of OIH, suggesting that pain sensitization may not play a major role and/or that PPT is an inadequate tool to assess OIH.
Electronic Metal‐Support Interactions in Atomically Dispersed Fe(III)‐VO2 Nanoribbons for High‐Performance Lithium–Sulfur Batteries
Authors: Pang Yashuai , Xie Minsen , Lu Xinghao , Wan Zhao , Zhong Zhuohang , Muhammad Waqas , Huan Xiang Long , Niu Yinghua , Zhang Zhen , Lv Weiqiang 
Published: September 2023

AbstractLithium–sulfur (Li–S) batteries have attracted wide attention as high‐energy‐density energy storage devices, but their practical applications are hindered by the severe shuttle effect and sluggish kinetics of lithium polysulfides (LiPSs). To address these challenges, polar mediators are employed to chemisorb and catalyze LiPSs, but most of them suffer from low electronic conductivity and poor catalytic activity. Here, a novel strategy is reported to enhance both properties by dispersing Fe(III) atoms in VO2 nanoribbons(Fe‐VO2), creating electronic metal‐support interactions (EMSI) that modulate the electronic structure and charge transfer of VO2. Theoretical calculations reveal that EMSI lowers the energy barrier for the decomposition of Li2S from 1.60 to 1.32 eV and increases the electronic conductivity of VO2. Fe doping reduces the Li‐ions diffusion barrier from 1.42 eV in VO2 to 0.99 eV in Fe‐VO2. The Fe‐VO2 catalyst shows strong adsorption and fast converstion of LiPSs, resulting in high energy density and long cycling life of Li‐S batteries. The cathode with Fe‐VO2 maintains a higher capacity retention of 67% after 500 cycles at 1 C, compared with 52.4% and 53.6% for the carbon black based cathode and VO2 based cathode, respectively. This work demonstrates the potential of EMSI for designing efficient catalysts for Li–S batteries and provides new insights into the electronic structure engineering of polar mediators.
Modeling Single‐Atom Catalysis
Authors: Di Liberto Giovanni , Pacchioni Gianfranco 
Published: September 2023

AbstractElectronic structure calculations represent an essential complement of experiments to characterize single‐atom catalysts (SACs), consisting of isolated metal atoms stabilized on a support, but also to predict new catalysts. However, simulating SACs with quantum chemistry approaches is not as simple as often assumed. In this work, the essential factors that characterize a reliable simulation of SACs activity are examined. The Perspective focuses on the importance of precise atomistic characterization of the active site, since even small changes in the metal atom's surroundings can result in large changes in reactivity. The dynamical behavior and stability of SACs under working conditions, as well as the importance of adopting appropriate methods to solve the Schrödinger equation for a quantitative evaluation of reaction energies are addressed. The Perspective also focuses on the relevance of the model adopted. For electrocatalysis this must include the effects of the solvent, the presence of electrolytes, the pH, and the external potential. Finally, it is discussed how the similarities between SACs and coordination compounds may result in reaction intermediates that usually are not observed on metal electrodes. When these aspects are not adequately considered, the predictive power of electronic structure calculations is quite limited.
Nanomedicines Based on Responsive Nanocarriers for Cancer Therapy
Authors: Liu Zhi‐Shan , Wen Jing , Huang Chu‐Yu , Zhang Pei‐Wen , Miao Ying‐Ling , Cheng Hong , Li Shi‐Ying 
Published: September 2023

AbstractNanotechnology has been widely used in drug design in recent years, showing great potential and advantages in tumor therapy. However, the application of most traditional nanomedicines is still limited by low drug loading rate, poor targeting ability, and systemic toxicity. Based on the characteristics of tumor microenvironments, numerous studies indicate that the construction of stimuli‐responsive nanocarriers can effectively solve the above problems by improving delivery efficiency, reducing side effects, and enhancing targeting. A significant feature of responsive nanocarriers is that they can release and activate drugs at specific sites under stimulus, including internal stimuli (e.g., pH, reactive oxygen species (ROS), glutathione (GSH), enzyme, hypoxia, adenosine‐triphosphate (ATP), etc.) and external stimuli (e.g., light, thermo, ultrasound, etc.). Of note, learning about various pathways of responses can enable researchers to effectively design responsive nanocarriers for tumor therapy. Herein, this review focuses on the stimuli‐responsive strategies of nanocarriers for tumor therapy. In addition, the role of responsive nanocarriers in synergistic tumor therapy is also discussed. The expectation of this review is to provide ideas for the design of practical and effective responsive nanocarriers.
Customized Nanostructured Ceramics via Microphase Separation 3D Printing
Authors: Bobrin Valentin A. , Hackbarth Haira G. , Yao Yin , Bedford Nicholas M. , Zhang Jin , Corrigan Nathaniel , Boyer Cyrille 
Published: September 2023

AbstractTo date, the restricted capability to fabricate ceramics with independently tailored nano‐ and macroscopic features has hindered their implementation in a wide range of crucial technological areas, including aeronautics, defense, and microelectronics. In this study, a novel approach that combines self‐ and digital assembly to create polymer‐derived ceramics with highly controlled structures spanning from the nano‐ to macroscale is introduced. Polymerization‐induced microphase separation of a resin during digital light processing generates materials with nanoscale morphologies, with the distinct phases consisting of either a preceramic precursor or a sacrificial polymer. By precisely controlling the molecular weight of the sacrificial polymer, the domain size of the resulting material phases can be finely tuned. Pyrolysis of the printed objects yields ceramics with complex macroscale geometries and nanoscale porosity, which display excellent thermal and oxidation resistance, and morphology‐dependent thermal conduction properties. This method offers a valuable technological platform for the simplified fabrication of nanostructured ceramics with complex shapes.
Water‐Induced Phase Separation for Anti‐Swelling Hydrogel Adhesives in Underwater Soft Electronics
Authors: Li Min , Lu Honglang , Pi Menghan , Zhou Hui , Wang Yufei , Yan Bin , Cui Wei , Ran Rong 
Published: September 2023

AbstractThe development of hydrogel‐based underwater electronics has gained significant attention due to their flexibility and portability compared to conventional rigid devices. However, common hydrogels face challenges such as swelling and poor underwater adhesion, limiting their practicality in water environments. Here, a water‐induced phase separation strategy to fabricate hydrogels with enhanced anti‐swelling properties and underwater adhesion is presented. By leveraging the contrasting affinity of different polymer chains to water, a phase‐separated structure with rich hydrophobic and dilute hydrophilic polymer phases is achieved. This dual‐phase structure, meticulously characterized from the macroscopic to the nanoscale, confers the hydrogel network with augmented retractive elastic forces and facilitates efficient water drainage at the gel‐substrate interface. As a result, the hydrogel exhibits remarkable swelling resistance and long‐lasting adhesion to diverse substrates. Additionally, the integration of carboxylic multiwalled carbon nanotubes into the hydrogel system preserves its anti‐swelling and adhesion properties while imparting superior conductivity. The conductive phase‐separated hydrogel exhibited great potential in diverse underwater applications, including sensing, communication, and energy harvesting. This study elucidates a facile strategy for designing anti‐swelling underwater adhesives by leveraging the ambient solvent effect, which is expected to offer some insights for the development of next‐generation adhesive soft materials tailored for aqueous environments.