bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical investigation of the corrosion susceptibility of hybrid reinforced Al6063 with SiC and PKSA in 1.0 M sulfuric acid environment
Authors: Ikubanni Peter Pelumi , Oki Makanjuola , Adeleke Adekunle Akanni , Onaolapo Akintunde Sunday , Paramasivam Prabhu 
Published: July 2023

AbstractThe recycling of agro‐waste as complementary reinforcements has received significant recognition in the development of aluminium matrix composites. Hence, this study examines the corrosion behavior of Al6063 reinforced with hybrid SiC/PKSA (palm kernel shell ash) particles. Through various ratios of SiC and PKSA particles in Al6063 alloy, composites were fabricated by double stir casting. Samples were cut and metallographically prepared for 1 M H2SO4 solution corrosion experiments. Gravimetric, potentiodynamic polarization and electrochemical impedance spectroscopic analyses were employed. The composites corroded initially at relatively high rates, gradually declining during long immersion times in the acidic solution. The intersection of reinforcements at the general surfaces of the composites where flawed oxide skins predominate acted as active sites for corrosion initiation. From potentiodynamic polarization studies, the corrosion currents increased with time for all specimens, with A9 being 1075.65 μA/cm2 at 72 h as against 857.99 μA/cm2 at 24 h of measurement. The corrosion potentials for all the specimens hovered around −654.00 to −647.22 mV. Bode plots revealed similar electrochemical reactions over all the substrates' surfaces. The relative corrosion resistance by the specimen depends on the oxide films' nature as the cathodic interfacial reinforcements dropped off into the acidic environment.
Triad3A involved in the regulation of endotoxin tolerance and mycobactericidal activity through the NFκB‐nitric oxide pathway
Authors: Qin Yongwei , Chen Jinliang , Xu Kuang , Lu Yang , Xu Feifan , Shi Jiahai 
Published: July 2023

AbstractIntroductionSepsis is characterized by an endotoxin tolerance phenotype that occurs in the stage of infection. Persistent bacterial infection can lead to immune cell exhaustion. Triad3A, an E3 ubiquitin ligase, negatively regulates its activation by TLR4. However, the effect of Triad3A on endotoxin tolerance and bactericidal ability in the state of endotoxin tolerance remains unclear.MethodsUsing single dose LPS and repeated LPS stimulated macrophage cell lines at indicated times, we investigated miR‐191, Tirad3A, TRAF3, TLR4, p‐P65, TNF‐α, IL‐1β, and iNOS expression, the effect of miR‐191 on Triad3A and TRAF3, gene loss‐of‐function analyses, the effect of Triad3A on TLR4, p‐P65, cytokine, and mycobactericidal activity in endotoxin tolerant cells infected with Mycobacterium marinum.ResultsHere we found that Triad3A is involved in regulating endotoxin tolerance. Our result also displayed that miR‐191 expression is downregulated in macrophages in the state of endotoxin tolerance. miR‐191 can directly bind to Triad3A and TRAF3. Additionally, knockdown of Triad3A can reverse the effect of decreasing TNF‐α and IL‐1β in endotoxin tolerant macrophages. Furthermore, we demonstrated that the TLR4‐NF‐κB‐NO pathway was associated with Triad3A and responsible for the killing of intracellular mycobacteria in a tuberculosis sepsis model.ConclusionsThese results provide new insight into the mechanisms of Triad3A induced tolerogenic phenotype in macrophages, which can help the better comprehension of the pathogenesis involved in septic shock with infection of Mycobacterium tuberculosis, and suggest that Triad3A may be a potential drug target for the treatment of severe septic tuberculosis.
Direct Electrooxidative Selenylamination of Alkynes: Access to 3‐Selenylindoles
Authors: Hasimujiang Balati , Zeng Yong , Zou Shifeng , Zhong Kaihui , Su Lebin , Hu Xinwei , Ruan Zhixiong 
Published: July 2023

AbstractA novel metal‐ and oxidant‐free electrooxidative selenylamination of o‐aminophenacetylenes with diselenides for achieving 3‐selenylindoles has been developed with moderate to excellent yield. The reaction proceeded smoothly with a broad substrate scope and highly functional group tolerance. The synthetic practicality of this innovative approach was demonstrated by its easy scalability. Moreover, mechanistic studies revealed that an in‐situ generated selenium cation might be the key intermediate for the electrochemical selenocyclization process.
Rapeseed bee pollen alleviates chronic non‐bacterial prostatitis via regulating gut microbiota
Authors: Qiao Jiangtao , Xiao Xingying , Wang Kai , Haubruge Eric , Dong Jie , Zhang Hongcheng 
Published: July 2023

AbstractBACKGROUNDRapeseed bee pollen has been recognized as a critical treatment for chronic non‐bacterial prostatitis (CNP) and it also can modulate gut microbiota and improve gut health. This study aimed to explore the anti‐prostatitis effects of rapeseed bee pollen with or without wall‐disruption, and to investigate the connection between this treatment and gut microbiota.RESULTSThe results reveal that rapeseed bee pollen can effectively alleviate chronic non‐bacteria prostatitis by selectively regulating gut microbiota, with higher doses and wall‐disrupted pollen showing greater efficacy. Treatment with a high dose of wall‐disrupted rapeseed bee pollen (WDH, 1.26 g kg−1 body weight) reduced prostate wet weight and prostate index by approximately 32% and 36%, respectively, nearly the levels observed in the control group. Wall‐disrupted rapeseed bee pollen treatment also reduced significantly (p < 0.05) the expression of proinflammatory cytokines (IL‐6, IL‐8, IL‐1β, and TNF‐α), as confirmed by immunofluorescence with laser scanning confocal microscope. Our results show that rapeseed bee pollen can inhibit pathogenic bacteria and enhance probiotics, particularly in the Firmicutes‐to‐Bacteroidetes (F/B) ratio and the abundance of Prevotella (genus).CONCLUSIONThis is the first study to investigate the alleviation of CNP with rapeseed bee pollen through gut microbiota. These results seem to provide better understanding for the development of rapeseed bee pollen as a complementary medicine. © 2023 Society of Chemical Industry.
Toward sustainable agriculture: The impact of interest‐free credit on marketing decisions and technological progress in Pakistan
Authors: Sher Ali , Mazhar Saman , Qiu Yuzhuo 
Published: July 2023

AbstractFarm credit plays an essential role in fostering agricultural productivity. In smallholder agriculture, it aims to provide financial cushion and improve market outcomes leading to improved resource distribution, thus maximizing social and economic returns. In Pakistan, about 90% of farmers are smallholders with the least access to formal financial services. This study explores the impact of sustainable finance—interest‐free credit (IFC)—on smallholders' marketing decisions, producer prices, and technological progress. It explains how liquidity constraints affect itinerant market (primary and secondary) participation and how smallholders get trapped in classical credit bondage with village‐level moneylender‐cum‐traders and do not take advantage of temporal and spatial arbitrage. We use cross‐sectional data from 637 farm households in Punjab‐Pakistan. The results show that interest‐free credit provision and village‐level credit density improve smallholders' level of current and future market participation and increase the producer prices for rice and wheat. The results indicate that sustainable finance improves the vertical linkages between smallholder producers and markets, increasing sustainable supply response and farmers' income. Further, the results show that IFC provision improves technological progress by enhancing the uptake of modern crop varieties, improving cultural operations, and promoting sustainable crop residue management. The findings advocate the interplay between sustainable finance, smallholders' market integration and income earning and provide coherent insights for policymaking. The study suggests mechanisms to improve broader coverage of sustainable finance for breaking the semi‐subsistence‐oriented farming systems, improving technological progress and realizing sustainable development goals, like rural poverty reduction and improved food production and distribution in developing countries.
Scaling up sustainable innovation: Stakeholder ties, eco‐product innovation, and new product performance
Authors: Adomako Samuel , Tran Mai Dong 
Published: July 2023

AbstractDeriving insights from the stakeholder theory, this article investigates the impact of industry stakeholders on product innovation through eco‐innovation. It further examines the moderating role of environmental R&D expenditure on this relationship. Using data from 212 firms, the results from this article reveal that (1) both intra and extra‐stakeholder ties predict eco‐innovation, (2) eco‐innovation mediates the relationship between industry stakeholder ties and new product performance, and (3) environmental R&D expenditure has a positive moderating effect on the linkage between intra and extra‐industry stakeholder ties and new product performance through eco‐innovation. These findings contribute to our understanding of the role of industry stakeholders in the context of emerging markets by being a driver of new product outcomes. Implications for theory and practice are discussed.
Computational‐Guided Design of Photoelectrode Active Materials for Light‐Assisted Energy Storage
Authors: Qian Chengfei , Wang Ronghao , Shen Hao , Xia Jingjie , Cui Dingyu , Sun Kaiwen , Liu He , Guo Cong , Yu Feng , Li Jingfa , Bao Weizhai 
Published: July 2023

AbstractThe design of a novel photoelectric integrated system is considered to be an efficient way to utilize and store inexhaustible solar energy. However, the mechanism of photoelectrode under illuminate conditions is still unclear. Density functional theory (DFT) provides standardized analysis and becomes a powerful way to explain the photoelectrochemical mechanism. Herein, the feasibility of four metal oxide configurations as photoelectrode materials by using a high throughput calculation method based on DFT are investigated. According to the photoelectrochemical properties, band structure and density of states are calculated, and the intercalate/deintercalate simulation is performed with adsorption configuration. The calculation indicates that the band gap of Fe2CoO4 (2.404 eV) is narrower than that of Co3O4 (2.553 eV), as well as stronger adsorption energy (−3.293 eV). The relationship between the electronic structure and the photoelectrochemical performance is analyzed and verified according to the predicted DFT results by subsequent experiments. Results show that the Fe2CoO4 photoelectrode samples exhibit higher coulombic efficiency (97.4%) than that under dark conditions (94.9%), which is consistent with the DFT results. This work provides a general method for the design of integrated photoelectrode materials and is expected to be enlightening for the adjustment of light‐assisted properties of multifunctional materials.
Understanding the benefits and challenges of creating customized flex‐path degrees
Authors: Sutton Halley 
Published: July 2023

CHICAGO — Creating customized degrees is a way to serve the needs of your local marketplace, by providing both skilled workers and adult learners a chance to pursue something directly in line with their own career goals and interests. But scaling these programs — making it possible to have a wide range of options for your students without competing internally with your own programs — can prove to be a challenge.
A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging
Authors: Chen Weijie , Krainak Daniel , Sahiner Berkman , Petrick Nicholas 
Published: July 2023

AbstractThis chapter presents a regulatory science perspective on the assessment of machine learning algorithms in diagnostic imaging applications. Most of the topics are generally applicable to many medical imaging applications, while brain disease-specific examples are provided when possible. The chapter begins with an overview of US FDA’s regulatory framework followed by assessment methodologies related to ML devices in medical imaging. Rationale, methods, and issues are discussed for the study design and data collection, the algorithm documentation, and the reference standard. Finally, study design and statistical analysis methods are overviewed for the assessment of standalone performance of ML algorithms as well as their impact on clinicians (i.e., reader studies). We believe that assessment methodologies and regulatory science play a critical role in fully realizing the great potential of ML in medical imaging, in facilitating ML device innovation, and in accelerating the translation of these technologies from bench to bedside to the benefit of patients.
Post-Secular Negotiations in Pastoral Care: Models in a Danish Podcast Series
Authors: Christoffersen Mikkel Gabriel , Andersen Aida Hougaard 
Published: July 2023

AbstractThis article explores the theoretical and practical importance of post-secular negotiations in intercultural pastoral care. Post-secular negotiations are negotiations between secular and religious discourses within specific activities such as pastoral care. While intercultural pastoral care has established a focus on the encounter between religious others in pastoral care, this article focuses on the encounter between Christian and secular discourses. Analyzing 10 Danish pastoral care conversations, the authors find that such post-secular negotiations occur in a variety of ways (explicit and implicit, initiated by pastor and care seeker), in a variety of settings (not only secular settings such as hospitals but also in ecclesial settings) and with various results (reception, rejection, misunderstanding, and circumvention). Drawing upon psychotherapeutic literature, the authors argue that explicit and respectful post-secular negotiations initiated by the pastor at the beginning of the conversation, either formalized or contextualized, might create better conditions for pastoral care conversations in the post-secular world.
Online motion planning of mobile cable-driven parallel robots for autonomous navigation in uncertain environments
Authors: Xu Jiajun , Kim Byeong-Geon , Feng Xiguang , Park Kyoung-Su 
Published: July 2023

AbstractMobile cable-driven parallel robots (MCDPRs) offer expanded motion capabilities and workspace compared to traditional cable-driven parallel robots (CDPRs) by incorporating mobile bases. However, additional mobile bases introduce more degree-of-freedom (DoF) and various constraints to make their motion planning a challenging problem. Despite several motion planning methods for MCDPRs being developed in the literature, they are only applicable to known environments, and autonomous navigation in unknown environments with obstacles remains a challenging issue. The ability to navigate autonomously is essential for MCDPRs, as it opens up possibilities for the robot to perform a broad range of tasks in real-world scenarios. To address this limitation, this study proposes an online motion planning method for MCDPRs based on the pipeline of rapidly exploring random tree (RRT). The presented approach explores unknown environments efficiently to produce high-quality collision-free trajectories for MCDPRs. To ensure the optimal execution of the planned trajectories, the study introduces two indicators specifically designed for the mobile bases and the end-effector. These indicators take into account various performance metrics, including trajectory quality and kinematic performance, enabling the determination of the final following trajectory that best aligns with the desired objectives of the robot. Moreover, to effectively handle unknown environments, a vision-based system utilizing an RGB-D camera is developed, allowing for precise MCDPR localization and obstacle detection, ultimately enhancing the autonomy and adaptability of the MCDPR. Finally, the extensive simulations conducted using dynamic simulation software (CoppeliaSim) and the on-board real-world experiments with a self-built MCDPR prototype demonstrate the practical applicability and effectiveness of the proposed method.
Using a Randomised Controlled Trial to Test the Effectiveness of a Simplified Notice of Police Bail
Authors: Gyani Alex , Chappell Nathan , Tebbutt Lance , Williams Simon 
Published: July 2023

Abstract
Purpose
To test whether a simplified notice of police bail can increase court attendance in New Zealand by increasing defendant awareness of upcoming court hearings.

Methods
We designed a simplified notice of police bail using principles from behavioural science. The simplified notice reduced the required reading age of the front page by 2 years and included a clear call to action and simplified information. We rolled the notice out across six police stations in New Zealand and tested the impact with a cluster randomised controlled trial (RCT) (n = 1542, with clustering by custody officer). We also conducted interviews with defendants and staff, and conducted a survey with staff, to gain additional insights into the barriers to court attendance.

Results
Our results suggest the simplified notice increased court attendance by 3.6 percentage points (p < 0.1). If scaled throughout New Zealand, this would translate to around 1400 more defendants attending court each year due to the new notice. Our qualitative findings highlight a number of barriers to attendance not addressed by the simplified notice, including transport barriers, childcare barriers, and waiting times at court.

Conclusions
A simplified notice of police bail can increase court attendance by increasing defendants’ awareness of their court requirements. There are a range of additional barriers to attendance not overcome by our intervention which future interventions could address.

Trial Registration
AEARCTR-0007018.
Temporal communication dynamics in the aftermath of large-scale upheavals: do digital footprints reveal a stage model?
Authors: Flores Pablo M. , Hilbert Martin 
Published: July 2023

AbstractIt has long been theorized that the exchange of information in the aftermath of large-scale upheavals ensues dynamics that follow a stage model, which would be a societal equivalent of individuals’ psychological processing of traumatic events. Nowadays, a relevant portion of this informational exchange occurs on social media platforms. In this study, we use the digital footprint of three independent earthquakes to analyze their communication dynamics. We find empirical evidence of a stage model previously proposed by Pennebaker (Pennebaker in Handbook of mental control, Prentice-Hall Inc., Hoboken, 1993) in the aftermath of the earthquakes. In addition, we further explore the role of emotions within the model stages through time using natural language processing tools. Our results show that emotions with low activation levels, such as interest and sadness, are expressed in higher proportions and are the most useful for predicting the expression of emotions with higher activation levels. Employing newly available computational methods like digital trace data, natural language processing, clustering, and causal analysis, this study extends Pennebaker’s model from offline to online social communication.
The state of quantum computing applications in health and medicine
Authors: Flöther Frederik F. 
Published: July 2023

Abstract
Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the “quantum decade”, and the first production solutions that drive scientific and business value are expected to become available over the next years. Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-related activities and experiments in the last few years (although medicine and quantum theory have arguably been entangled ever since Schrödinger’s cat2). The initial focus was on biochemical and computational biology problems3,4,5,6,7,8; recently, however, clinical and medical quantum solutions have drawn increasing interest. The rapid emergence of quantum computing in health and medicine necessitates a mapping of the landscape.
In this review, clinical and medical proof-of-concept quantum computing applications are outlined and put into perspective. These consist of over 40 experimental and theoretical studies from the last few years. The use case areas span genomics, clinical research and discovery, diagnostics, and treatments and interventions. Quantum machine learning (QML) in particular has rapidly evolved and shown to be competitive with classical benchmarks in recent medical research. Near-term QML algorithms, for instance, quantum support vector classifiers and quantum neural networks, have been trained with diverse clinical and real-world data sets. This includes studies in generating new molecular entities as drug candidates, diagnosing based on medical image classification, predicting patient persistence, forecasting treatment effectiveness, and tailoring radiotherapy. The use cases and the applied algorithms are summarized.
In addition, this review provides an outlook on medicine in the quantum era. There has been much discussion about healthcare’s journey towards precision medicine and the quadruple aim (better health, lower costs, enhanced patient experiences, and improved healthcare practitioner work lives)9. While a range of technical and ethical challenges remain, quantum computing is poised to become a key enabler for advancing towards the holy grail: keeping people healthy through proactive medical care and guidance at the level of an individual.
Attitudes toward COVID-19 vaccination of healthcare workers in Israel and vaccination rates during vaccine rollout
Authors: Halevi Assaf , Shkalim Zemer Vered , Embar Tami , Jacobson Eyal , Reichenberg Yael , Yosef Noga , Shlomi Dekel 
Published: July 2023

Abstract
A new COVID-19 vaccine was introduced in a remarkably short period of time. Public and healthcare workers (HCWs) were concerned about the safety of the vaccine, especially in light of the use of new technologies. A review regarding attitudes towards COVID-19 vaccination found a 22.5% hesitancy rate among HCWs. Online anonymous questionnaires were delivered using a web-based surveying platform to community HCWs in a central district in Israel from 3 to 19 January 2021. The real COVID-19 vaccination data were collected between the beginning of the vaccination rollout and the end of the month after the survey as well as the real vaccination rate among the general population. Of the 3,172 HCWs, 549 (17%) responded to the questionnaire. The highest positive attitude towards the vaccine was among physicians (95%), while nurses showed the highest level of hesitation (14%) for a specific sector (P < 0.05). However, the real vaccination rates were similar among physicians (63%) and nurses (62%). Surprisingly, the total vaccination rate of HCWs was substantially lower (52%) than that of the general population (71%). The main vaccination motivators were the social and economic effects of the COVID-19 epidemic. Focused strategies to reduce the level of hesitancy among HCWs are needed.