bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plant‐Based Anticancer Compounds With a Focus on Breast Cancer
Authors: Hasan‐Abad Amin Moradi , Atapour Amir , Sobhani‐Nasab Ali , Motedayyen Hossein , ArefNezhad Reza 
Published: October 2024

ABSTRACTBreast cancer is a common form of cancer among women characterized by the growth of malignant cells in the breast tissue. The most common treatments for this condition include chemotherapy, surgical intervention, radiation therapy, hormone therapy, and biological therapy. The primary issues associated with chemotherapy and radiation therapy are their adverse events and significant financial burden among patients in underdeveloped countries. This highlights the need to explore and develop superior therapeutic options that are less detrimental and more economically efficient. Plants provide an abundant supply of innovative compounds and present a promising new avenue for investigating cancer. Plants and their derivations are undergoing a revolution due to their reduced toxicity, expediency, cost‐effectiveness, safety, and simplicity in comparison to conventional treatment methods. Natural products are considered promising candidates for the development of anticancer drugs, due perhaps to the diverse pleiotropic effects on target events. The effects of plant‐derived products are limited to cancer cells while leaving healthy cells unaffected. Identification of compounds with strong anticancer properties and development of plant‐based medications for cancer treatment might be crucial steps in breast cancer therapy. Although bioactive compounds have potent anticancer properties, they also have drawbacks that need to be resolved before their application in clinical trials and improved for the approved drugs. This study aims to give comprehensive information on known anticancer compounds, including their sources and molecular mechanisms of actions, along with opportunities and challenges in plant‐based anticancer therapies.
Risk Factors and Clinical Outcomes of Recurrence in Adult Ovarian Granulosa Cell Tumors
Authors: Golmohammadi Tavallaee Mansoureh , Hasanzadeh Mofrad Malihe , Yousefi Zohreh , Mottaghi Mansoureh , Homaei Shandiz Fatemeh , Davachi Behrouz , Hamidi Bahram , Farazestanian Marjaneh , Afzaljavan Fahimeh 
Published: October 2024

ABSTRACTPurposeGranulosa cell tumors (GCTs) of the ovary are rare but clinically significant malignancies. Despite advances in treatment, recurrence has remained a substantial challenge. This study aimed to identify clinical outcomes and potential prognostic risk factors for recurrence in patients diagnosed with GCTs.MethodsIn a retrospective cohort study, the ovarian cancer database of the gynecological tertiary referral cancer center, Mashhad University of Medical Sciences, Mashhad, Iran, was searched from August 2012 to August 2023 to find GCT cases. Demographic, clinical, pathological, intervention‐related factors, follow‐up, and survival findings were meticulously collected. Data were analyzed using SPSS v 23.ResultsNinety‐two patients with GCTs, including 86 AGCT and 6 JGCT subjects, were identified. Based on further analysis of AGCT patients, most patients were ages under 50 (58.1%), clinically presented pain (32.6%), and abnormal uterine bleeding (27.9%) as the most frequent symptoms. Stages IA (64.0%) and IC (20.9%) were common. Five‐year overall and progression‐free survival were 98.2% and 90.8%, respectively. With a median follow‐up time of 72 (0.0–180) months, disease recurrence was observed in 19 patients (23.9%), and five patients (5.4%) died of the disease. Stage IV was a hazard factor of recurrence (HR = 7.62, 95%CI (1.89–30.63); p = 0.004).ConclusionsThe present study provides valuable insights into the outcomes and potential risk factors for recurrence in ovarian AGCTs. It duplicates the importance of stage in the prognosis of AGCT patients and highlights the safety of fertility‐sparing surgery in stage I and the lack of need to administer chemotherapy in stage IC.
Corporate social responsibility and family firm performance: A meta‐analytic review
Authors: Oduro Stephen , Umar Rana Muhammad , De Massis Alfredo , Haylemariam Leul Girma 
Published: October 2024

AbstractAlthough corporate social responsibility (CSR) has received considerable attention in family firms, empirical findings on the CSR/family firm performance nexus are mixed and inconsistent. This meta‐analytic review aims to clarify the mixed results by establishing the degree to which CSR influences family firm performance and to test the moderating effects of contextual and methodological factors. Integrating a sample of 85 studies published up to May 2023 with 152,265 observations and employing a psychometric meta‐analysis through bivariate and meta‐regression analyses, we find that the average effect of CSR on family firm performance is positive, though small (≤0.20). Our study further reveals that CSR is positively and significantly related to financial performance, innovation, reputation, and sustainability, but the impact on firm sustainability is the largest. Our moderation analysis shows that the relationship between CSR and family firm performance is moderated by contextual factors (i.e., family ownership concentration, firm size, stock exchange listing, culture, and rule of law) and methodological factors (i.e., publication type, data type, performance proxy, and study type). Theoretically, our study appears to be the foremost meta‐analytic review on the CSR/family firm performance relationship, as previous meta‐analyses have focused on the drivers of CSR in family firms. Practically, we demonstrate that family firms can leverage CSR as both a “failure‐prevention” strategy (i.e., survival strategy) and a “success‐inducing” strategy (competitive advantage).
Factors affecting the quality of accounting disclosures provided in the annual reports for Jordanian firms
Authors: Al‐Mohareb Manar , Gutiérrez Ponce Herenia , Chamizo González Julián 
Published: October 2024

AbstractThis study aims to cover the factors that affect Jordanian companies’ annual reports’ accounting disclosures within the country's regulatory framework. This study analyses the qualitative content of accounting disclosures in Jordanian service and manufacturing companies to ascertain whether Jordanian law affects the company's capacity to provide adequate disclosures to stakeholders and whether industry type affects disclosure quality. The content analysis results indicated that Jordanian firms are aware of the laws and regulations governing the preparation of annual reports. Still, corporate governance rules are insufficient. Furthermore, the results revealed that annual report preparers are committed to mandatory and voluntary but provide inadequate CSR disclosures. The findings showed that service firms outperform manufacturing companies in terms of paying attention to narrating events and taking action to reduce their impact. Multiple factors influence the quality of accounting disclosures in Jordan. As for a limitation, content analysis inherently involves some level of subjectivity in interpreting and coding data, which could introduce bias into the analysis. Nevertheless, conducting targeted studies on particular sectors within Jordan could yield valuable information regarding industry‐specific disclosure procedures and obstacles, which could be a future study.
Dynamic Reconstruction of Cu Catalyst Under Electrochemical NO Reduction to NH3
Authors: Cheon Seonjeong , Kim Beomseo , Kim Hyun‐Woo , Kim DongYeon , Han Jong‐In 
Published: October 2024

AbstractThe electrochemical reduction of nitric oxide (NO) to ammonia (NH3) offers a sustainable way of simultaneously treating the air pollutant and producing a useful chemical. Among catalyst candidates, Cu emerges as a stand‐out choice for its superb NH3 selectivity and production rate. However, a comprehensive study concerning its catalytic behavior in the NO reduction environment is still lacking. Here, we unravel the dynamic rearrangement of Cu catalysts during NO reduction: the emergence of a bundled nanowire structure dependent on the applied potential. This unique structure is closely linked to an enhancement in double‐layer capacitance, leading to a progressive increase in current density from 236 mA cm−2 by 20 % over 1 h, while maintaining a Faradaic efficiency of 95 % for NH3. Characterizations of Cu oxidation states suggest that the nanostructure results from the dissolution‐redeposition of Cu in the aqueous electrolyte, influenced by the interaction with NO or other reactive intermediates. This understanding contributes to the broader exploration of Cu‐based catalysts for sustainable and efficient NH3 synthesis from NO.
A Communication‐Free Master–Slave Control of Cascaded‐Type DC Microgrids With Nondispatchable Generations
Authors: Li Lang , Tian Peng , Zhou Ke , Yan Genglong 
Published: October 2024

ABSTRACTThis paper addresses the challenge of integrating dispatchable and nondispatchable distributed generators (DGs) in cascaded‐type direct current (DC) microgrids and proposes a communication‐free master–slave control strategy. In the proposed method, all DGs are treated as voltage sources. A master dispatchable DG is primarily responsible for maintaining a constant DC voltage at the point of common coupling (PCC). The rest slave nondispatchable DGs adjust their output power based on a front maximum power point tracking (MPPT) controller. This communication‐free approach enhances system reliability and ease of implementation. Moreover, it ensures load voltage stability, providing a high‐quality power supply for users. Additionally, it enables nondispatchable DGs to achieve MPPT‐based output power and enables power curtailment operation. Subsequently, a small‐signal stability analysis confirms the efficacy of the proposed strategy. Finally, simulation and experiment results further validate its efficacy.
Geofence‐Based Boundary Violation Detection Algorithms in Unmanned Aerial Vehicles
Authors: Arora Parul , Deswal Suman 
Published: October 2024

ABSTRACTGeofence is a virtual boundary that helps in location‐based services. Unmanned aerial vehicles (UAVs) fly without a pilot, and geofence helps in regulating these vehicles and constraints a UAV to enter the boundary of other UAV. However, these have to go through many safety and security features like avoiding collision, complying within the restricted area, and organizing airspaces with high traffic. The UAVs need to be within the boundaries to avoid various damages to property and loss of lives. Geofences help to detect boundary violation of UAVs to a great extent. This study uses various mathematical algorithms to create geofences and detect boundary violation of UAVs. The existing methods, Delaunay triangulation and triangle weight characterization with adjacency, are implemented. The existing methods have high execution time as well as high standard deviation and low accuracy. Further, a novel method for boundary violation detection is proposed using a convex hull to create geofences. The results show that the proposed method improves the execution time by 59.23% and accuracy by 1.35%.
Leaf architecture and functional traits for 122 species at the University of California Botanical Garden at Berkeley
Authors: Matos Ilaine Silveira , Boakye Mickey , Antonio Monica , Carlos Sonoma , Chu Ashley , Duarte Miguel A. , Echevarria Andrea , Fontao Adrian , Garcia Lisa , Huang LeeAnn , Johnson Breanna Carrillo , Joshi Shama , Kalantar Diana , Madhavan Srinivasan , McDonough Samantha , Niewiadomski Izzi , Nguyen Nathan , Park Hailey Jiyoon , Pechuzal Caroline , Rohde James , Sahu Roshni , Scudder Meg , Sharma Satvik , Sneor LeeDar , To Jason , Vu Bradley , Vuong Natalie , Yokota Nicole , Aparecido Luiza M. T. , Forbes Holly , Fricker Mark , Blonder Benjamin 
Published: October 2024

AbstractThe dataset contains leaf venation architecture and functional traits for a phylogenetically diverse set of 122 plant species (including ferns, basal angiosperms, monocots, basal eudicots, asterids, and rosids) collected from the living collections of the University of California Botanical Garden at Berkeley (37.87° N, 122.23° W; CA, USA) from February to September 2021. The sampled species originated from all continents, except Antarctica, and are distributed in different growth forms (aquatic, herb, climbing, tree, shrub). The functional dataset comprises 31 traits (mechanical, hydraulic, anatomical, physiological, economical, and chemical) and describes six main leaf functional axes (hydraulic conductance, resistance and resilience to damages caused by drought and herbivory, mechanical support, and construction cost). It also describes how architecture features vary across venation networks. Our trait dataset is suitable for (1) functional and architectural characterization of plant species; (2) identification of venation architecture‐function trade‐offs; (3) investigation of evolutionary trends in leaf venation networks; and (4) mechanistic modeling of leaf function. Data are made available under the Open Data Commons Attribution License.
Assessing electronic structure modulation strategies toward the development of low‐cost oxygen evolution reaction catalysts
Authors: Zhang Zhen , Han Shaobo , Li Cheng , Cai Chao , Gu Meng Danny 
Published: October 2024

AbstractOxygen evolution reactions (OER) are critical to electrochemical synthesis reactions, including hydrogen production and organic hydrogenation. However, the high cost of existing OER catalysts (primarily Ir/Ru and its derived oxides) limits their practical application for electrochemical synthesis. To develop a low‐cost, high‐efficiency alternative, we need a deeper understanding of both the mechanisms that drive OER and the relationship between the catalyst's electronic structure and active sites. Here, we summarized recent developments of catalysts, especially focusing on the electronic structure modulation strategies and their subsequent activity enhancement. Most importantly, we pointed out the study directions for further work.
A codifiable methodology for estimating pallet sliding displacements on steel racking systems
Authors: Tsarpalis Dimitrios , Vamvatsikos Dimitrios 
Published: October 2024

AbstractTo facilitate the logistic processes within a modern warehouse, the contents of steel racking systems are not mechanically connected to the supporting beams, allowing a content‐sliding mechanism to develop when static friction is exceeded. Given that the mass of contents is dominant, this is beneficial for limiting the apparent inertia. On the other hand, pallet fall‐off may occur during strong seismic excitations, which is a failure mode that is not addressed by current seismic design processes and guidelines for racks. Along these lines, a codifiable methodology is proposed for estimating sliding displacements on steel racking systems, based on the statistical interpretation of a large set of response history analyses, using different rack configurations and ground motions. Firstly, a multi‐parametric analysis is conducted using simplified rack models to (i) select the intensity measure and engineering demand parameter that can best describe the problem of pallet sliding and (ii) identify the salient rack characteristics that dominate sliding behavior. Thereafter, a series of multi‐stripe analyses are performed using 180 rack realizations with different feature combinations to derive a so‐called, Empirical Sliding Prediction Equation (ESPE) by following a three‐step procedure: (a) perform regression on maximum sliding, (b) perform regression on the normalized sliding profile, and (c) combine steps a‐b to derive the denormalized profile at a given confidence level. The proposed empirical relationships are then validated through a comparison between the observed and fitted sliding displacements in three rack case studies.
Effects of Resveratrol on Nonmelanoma Skin Cancer (NMSC): A Comprehensive Review
Authors: Zamanian Mohammad Yasin , Shahbazi Taha , Kazmi Syeda Wajida , Hussien Beneen M. , Sharma Abhishek , Qasim Maytham T. , Hjazi Ahmed , Sapaev Ibrohim B. , Nouri Danesh Ayda , Taheri Niloofar , Golmohammadi Maryam 
Published: October 2024

ABSTRACTNonmelanoma skin cancer (NMSC) represents the most prevalent form of skin cancer globally, with basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) being the most common types. The search for effective chemopreventive and therapeutic agents has led to the exploration of natural compounds, among which resveratrol (RES), a polyphenolic phytoalexin found in grapes, berries, peanuts, and red wine, has garnered significant attention. This comprehensive review aims to elucidate the effects of RES on NMSC, focusing on its mechanisms of action, efficacy in preclinical studies, and potential as a chemopreventive and therapeutic agent. RES exhibits promising chemopreventive and antineoplastic capabilities against NMSC through various mechanisms, including the induction of apoptosis, inhibition of cell proliferation, modulation of oxidative stress, and anti‐inflammatory activities. Studies have demonstrated that RES can significantly enhance the effectiveness of traditional chemotherapeutic agents, such as 5‐fluorouracil (5‐FU), by inhibiting cellular proliferation and inducing apoptosis in cancerous cells. Furthermore, resveratrol's antioxidant properties may mitigate the impact of reactive oxygen species (ROS) triggered by UV exposure, thus reducing DNA damage and mutations associated with skin cancer development. In vitro and in vivo experiments have shown that RES can effectively hinder the growth and spread of various tumor cell types, including human cutaneous SCC A431 cells, and induce apoptosis. The development of advanced delivery systems, such as nanostructured lipid carriers and liposomes, has been recognized for their potential to enhance the therapeutic effects of RES, particularly its anticancer properties. In conclusion, RES presents a viable candidate for the prevention and treatment of NMSC, owing to its multifaceted mechanisms of action, including its ability to regulate oxidative stress, trigger apoptosis, and inhibit proliferation. However, further clinical studies are required to fully understand its effectiveness and safety in humans, as well as to optimize delivery methods for improved bioavailability and therapeutic outcomes.
The effects of supervisory negative feedback and coaching on employees' responses to feedback: The moderating role of mindset
Authors: Zyberaj Jetmir 
Published: October 2024

AbstractFeedback is a vital human resource development (HRD) practice, extensively researched and used to regulate employee behavior and performance. However, despite a century of research and immense significance and use, we still do not fully know why some accept feedback while others reject it. Critics blame both providers and recipients, as well as feedback message format, for this failure. In this study, I investigated whether the focus of the supervisory feedback (negative vs. negative and facilitative) could enhance employees' responses to feedback (e.g., acceptance and use). I also examined whether employees' mindset (i.e., fixed vs. growth) would moderate these relationships. I proposed that employee coaching (i.e., negative and facilitative) would be more accepted than negative feedback alone. In addition, I expected a positive moderating role of the growth mindset between supervisory feedback and employees' responses. To test these assumptions, I conducted a laboratory experimental vignette study (N = 69). In line with propositions, employee coaching had a larger effect on the employees' responses to feedback (e.g., feedback acceptance; M = 4.95, SD = 1.24) than negative feedback alone (M = 4.08, SD = 1.35). In addition, simple slope results showed that employee coaching was significantly higher than negative feedback for growth mindset (i.e., +1 SD). Finally, path analysis revealed that the interaction between negative feedback, employee coaching, and mindset yielded the strongest positive effect on employees' responses to feedback. Overall, findings add to and endorse calls for more future‐focused HRD practices during feedback interventions. In addition, for effective feedback, this study calls for HRD practitioners to account for all critical factors involved in feedback exchanges, from provider to recipient and feedback message.
A Novel Metric for Corporate Environmental Responsibility and Its Impact on Investment Inefficiency
Authors: Wang Yadong , Albitar Khaldoon , Chbib Imad 
Published: October 2024

ABSTRACTThis study aims to establish a new measurement standard for quantifying Corporate Environmental Responsibility (CER) information and activities disclosed by enterprises and to examine the relationship between CER and investment inefficiency (IIE), with a specific focus on the mediating role of information asymmetry (IA). By analysing how CER influences IIE through information asymmetry, the study provides insights into how transparency and responsible environmental practices can enhance investment decisions and overall corporate performance. Regression analysis of 22,413 firm‐year observations from China A‐shares (2011–2021) shows that active CER disclosure effectively reduces IIE by mitigating information asymmetry, particularly moral hazard (MH) and adverse selection (AS). Robustness tests, including instrumental variable analysis, the Heckman self‐selection model, and Propensity Score Matching (PSM), consistently support these findings. The study also reveals that CER disclosures by non‐state‐owned enterprises (non‐SOEs) and enterprises less sensitive to environmental concerns (NES) significantly diminish IIE by addressing information asymmetry. This research underscores the need for enterprises to embrace environmental responsibility actively, encouraging proactive engagement and transparent disclosure of environmental activities and information.
Patient‐reported pregnancy loss and maternal complications: Insights from the sickle cell disease implementation consortium
Authors: Mathias Joacy G. , Masese Rita V. , King Allison A. , Bulgin Dominique , Stevenson Eleanor , Hankins Jane S. , Glassberg Jeffrey A. , Kanter Julie , Preiss Liliana , Treadwell Marsha , Knisely Mitchell R. , Tanabe Paula J. , Gibson Robert , Gordeuk Victor R. , Shah Nirmish R. 
Published: October 2024

AbstractObjectiveSickle cell disease (SCD) is associated with complications during pregnancy and can negatively influence maternal outcomes. Our study aimed to determine the prevalence and predictors of maternal morbidity among participants enrolled in an eight‐site SCD Implementation Consortium (SCDIC) registry.MethodsWe conducted a cross‐sectional analysis of female registry participants, aged 15–45 years, with a confirmed diagnosis of SCD. Participants completed a survey of self‐reported pregnancies and outcomes.ResultsSeven hundred and thirty‐eight individuals had at least one pregnancy event, with 1076 live births. Twenty percent reported a pregnancy loss or fetal demise. Of the 1076 live births, 75% involved at least one complication. The most prevalent complications were pain crises (61.1%) and pregnancy requiring blood transfusion(s) (33.0%).Multiparous individuals with a prior occurrence of a complication in a previous pregnancy had higher odds of recurrence of the same complication in subsequent pregnancies (i.e., previous acute crisis was associated with subsequent acute pain events odds ratio [OR]: 3.13; 95% confidence interval [CI]: 2.06–4.76) and prior transfusion requiring another transfusion (OR: 3.22; 95% CI: 2.01–5.16).ConclusionIndividuals reported a high prevalence of pregnancy loss and maternal complications. Our findings underscore the importance of preconception counseling and early initiation of perinatal care in SCD.