bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research of blockchain-embedded agricultural quality credit regulation influencing factors
Authors: Zhan Shuai , Wan Zhilan 
Published: April 2024

PurposeThe credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.Design/methodology/approachUsing the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.FindingsThe results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.Originality/valueCredit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.
Multi-robot navigation based on velocity obstacle prediction in dynamic crowded environments
Authors: Chen Yimei , Wang Yixin , Li Baoquan , Kamiya Tohru 
Published: April 2024

Purpose
The purpose of this paper is to propose a new velocity prediction navigation algorithm to develop a conflict-free path for robots in dynamic crowded environments. The algorithm BP-prediction and reciprocal velocity obstacle (PRVO) combines the BP neural network for velocity PRVO to accomplish dynamic collision avoidance.

Design/methodology/approach
This presented method exhibits innovation by anticipating ahead velocities using BP neural networks to reconstruct the velocity obstacle region; determining the optimized velocity corresponding to the robot’s scalable radius range from the error generated by the non-holonomic robot tracking the desired trajectory; and considering acceleration constraints, determining the set of multi-step reachable velocities of non-holonomic robot in the space of velocity variations.

Findings
The method is validated using three commonly used metrics of collision rate, travel time and average distance in a comparison between simulation experiments including multiple differential drive robots and physical experiments using the Turtkebot3 robot. The experimental results show that our method outperforms other RVO extension methods on the three metrics.

Originality/value
In this paper, the authors propose navigation algorithms capable of adaptively selecting the optimal speed for a multi-robot system to avoid robot collisions during dynamic crowded interactions.
Collaboration in agricultural value chains: a scoping review of the evidence from developing countries
Authors: Mishra Vikas , Ishdorj Ariun , Tabares Villarreal Elizabeth , Norton Roger 
Published: April 2024

PurposeCollaboration in agricultural value chains (AVCs) has the potential to increase smallholders’ participation in international value chains and increase their benefits from participation. This scoping review explores existing collaboration models among stakeholders of AVCs in developing countries, examines enablers and constraints of collaboration and identifies policy gaps.Design/methodology/approachWe systematically searched three databases, CAB Abstracts, Econlit (EBSCO) and Agricola, for studies published between 2005 and 2023 and included 59 relevant studies on AVC collaboration.FindingsThe primary motivations for collaboration are to enhance market access and improve product quality. Key outcomes of collaboration include improvements in farmers’ welfare, market participation and increased production; only a few studies consider improved risk management as an important outcome. Robust support from government and non-governmental entities is a primary enabler of collaboration. Conversely, conflicts of interest among stakeholders and resource limitations constrain collaboration possibilities. Collaboration involving high-value crops prioritizes income increases, whereas collaboration involving staple crops focuses on improving household food security.Research limitations/implicationsThis study may have publication bias as unsuccessful instances of collaboration are less likely to be published.Originality/valueThis study is unique in highlighting collaboration models’ characteristics and identifying AVC policy and programmatic areas where private firms, farmers’ groups, local governments and donor agencies can contribute.
Navigating the digital landscape: how e-marketing and product attractiveness shape company reputation from a customer-centric perspective
Authors: Mkalaf Khelood A. , Kadhum Amer A. , Al-Hadeethi Rami Hikmat , Al-Bazi Ammar 
Published: April 2024

PurposeThis study investigates the influence of e-marketing risks on a Corporation’s Reputation (CR) resulting from its online marketing of products and services.Design/methodology/approachA comprehensive analysis was conducted to enhance the company’s e-marketing strategies and bolster its reputation in the market. This involved an investigation into key factors of e-marketing risks, such as customer confidence, product quality, marketing fraud, credibility and customer knowledge and proficiency in using online platforms. These factors have directly impacted the company’s reputation, including aspects such as product/service quality, attractiveness, performance and commitment to social responsibility.FindingsIts finding indicates that customers' lack of confidence in e-marketing has a strong impact on CR, followed by product quality and credibility. The absence of consumer awareness about e-marketing websites and e-fraud frequently negatively affects the organizational reputation.Practical implicationsTo enhance the corporation’s reputation, it is recommended that companies provide educational resources on online shopping, including guidance on using the company’s website, comparing prices and other services that facilitate online purchases. This will help to support the credibility of e-marketing and enhance customer trust.Originality/valueThis research is an exploration of how e-marketing has affected a Corporation’s Reputation. It provides modern knowledge about the dynamic interplay between digital strategies and brand perception. Investigating this relationship provides valuable insights into the evolving landscape of consumer trust in the digital age. By analysing the various ways in which e-marketing influences a company’s reputation, innovative approaches can be developed to enhance its online presence and build lasting customer trust.
The relationship between training effectiveness and financial performance in cooperative organizations
Authors: Oliveira Brunna Sagioratto Coltro , Weymer Alex , Piccoli Pedro , Ramos Simone Cristina 
Published: April 2024

Purpose
The purpose of this study was to identify the relationship between training and financial performance in cooperative organizations.

Design/methodology/approach
To achieve this goal, the fixed-effect panel regression technique was used, from a single database containing hours and amounts invested in training by 35 large Brazilian agribusiness cooperatives over 10 years as the main independent variable of the econometric model. Financial performance was operationalized by the Net Margin and ROE.

Findings
It was possible to identify a positive relationship between expenditure on training and the future rate of return and profitability of the organizations in question. The results also indicate that this relationship grows stronger over the first three years after the investments are made and ceases to exist after this period. The findings are robust with regard to a series of alternative explanations and contribute to understanding the relationship between training and organizational performance in financial terms, considering the extent and duration of training.

Originality/value
The originality this study is justified by the pioneering spirit of presenting direct evidence linking investment in training and financial performance and the duration of this relationship. Thus, the study makes a significant contribution to the construction of knowledge on the subject.
Nutritional, physicochemical, and functional properties of Hawaiian taro (Colocasia esculenta) flours: A comparative study
Authors: Saxby Solange M. , Dong Lianger , Ho Kacie K. H. Y. , Lee Chin N. , Wall Marisa , Li Yong 
Published: April 2024

AbstractTaro (Colocasia esculenta) flour is a viable carbohydrate alternative and a functional additive for food formulation; however, different taro varieties may possess distinct characteristics that may influence their suitability for food production. This study evaluated the nutritional, physicochemical, and functional properties of flours from five Hawaiian taro varieties: Bun‐Long, Mana Ulu, Moi, Kauaʻi Lehua, and Tahitian. Tahitian, Bun‐long, and Moi had high total starch contents of 40.8, 38.9, and 34.1 g/100 g, respectively. Additionally, Moi had the highest neutral detergent fiber (25.5 g/100 g), lignin (1.39 g/100 g), and cellulose (5.31 g/100 g). In terms of physicochemical properties, Tahitian showed the highest water solubility index (33.3 g/100 g), while Tahitian and Moi exhibited the two highest water absorption indices (5.81 g/g and 5.68 g/g, respectively). Regarding functional properties, Tahitian had the highest water absorption capacity (3.48 g/g), and Tahitian and Moi had the two highest oil absorption capacities (3.15 g/g and 2.68 g/g, respectively). Therefore, the flours from these Hawaiian taro varieties possess promising characteristics that could enhance food quality when used as alternative additives in food processing.
Deep learning denoising reconstruction enables faster T2‐weighted FLAIR sequence acquisition with satisfactory image quality
Authors: Brain Matthew E , Amukotuwa Shalini , Bammer Roland 
Published: April 2024

AbstractIntroductionDeep learning reconstruction (DLR) technologies are the latest methods attempting to solve the enduring problem of reducing MRI acquisition times without compromising image quality. The clinical utility of this reconstruction technique is yet to be fully established. This study aims to assess whether a commercially available DLR technique applied to 2D T2‐weighted FLAIR brain images allows a reduction in scan time, without compromising image quality and thus diagnostic accuracy.Methods47 participants (24 male, mean age 55.9 ± 18.7 SD years, range 20–89 years) underwent routine, clinically indicated brain MRI studies in March 2022, that included a standard‐of‐care (SOC) T2‐weighted FLAIR sequence, and an accelerated acquisition that was reconstructed using the DLR denoising product. Overall image quality, lesion conspicuity, signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and artefacts for each sequence, and preferred sequence on direct comparison, were subjectively assessed by two readers.ResultsThere was a strong preference for SOC FLAIR sequence for overall image quality (P = 0.01) and head‐to‐head comparison (P < 0.001). No difference was observed for lesion conspicuity (P = 0.49), perceived SNR (P = 1.0), and perceived CNR (P = 0.84). There was no difference in motion (P = 0.57) nor Gibbs ringing (P = 0.86) artefacts. Phase ghosting (P = 0.038) and pseudolesions were significantly more frequent (P < 0.001) on DLR images.ConclusionDLR algorithm allowed faster FLAIR acquisition times with comparable image quality and lesion conspicuity. However, an increased incidence and severity of phase ghosting artefact and presence of pseudolesions using this technique may result in a reduction in reading speed, efficiency, and diagnostic confidence.
Quantitative evaluation of the impact of relaxing eligibility criteria on the risk–benefit profile of drugs for lung cancer based on real‐world data
Authors: Huang Huiyao , Jia Shuopeng , Wang Xin , Miao Huilei , Fang Hong , He Hanqing , Wu Dawei , Tang Yu , Li Ning 
Published: April 2024

AbstractIntroductionRestrictive eligibility criteria in cancer drug trials result in low enrollment rates and limited population diversity. Relaxed eligibility criteria (REC) based on solid evidence is becoming necessary for stakeholders worldwide. However, the absence of high‐quality, favorable evidence remains a major challenge. This study presents a protocol to quantitatively evaluate the impact of relaxing eligibility criteria in common non‐small cell lung cancer (NSCLC) protocols in China, on the risk–benefit profile. This involves a detailed explanation of the rationale, framework, and design of REC.MethodsTo evaluate our REC in NSCLC drug trials, we will first construct a structured, cross‐dimensional real‐world NSCLC database using deep learning methods. We will then establish randomized virtual cohorts and perform benefit–risk assessment using Monte Carlo simulation and propensity matching. Shapley value will be utilized to quantitatively measure the effect of the change of each eligibility criterion on patient volume, clinical efficacy and safety.DiscussionThis study is one of the few that focuses on the problem of overly stringent eligibility criteria cancer drug clinical trials, providing quantitative evaluation of the effect of relaxing each NSCLC eligibility criterion. This study will not only provide scientific evidence for the rational design of population inclusion in lung cancer clinical trials, but also establish a data governance system, as well as a REC evaluation framework that can be generalized to other cancer studies.
The human infertility single‐cell testis atlas (HISTA): an interactive molecular scRNA‐Seq reference of the human testis
Authors: Mahyari Eisa , Vigh‐Conrad Katinka A. , Daube Clément , Lima Ana C. , Guo Jingtao , Carrell Douglas T. , Hotaling James M. , Aston Kenneth I. , Conrad Donald F. 
Published: April 2024

AbstractBackgroundSingle‐cell RNA‐seq (scRNA‐Seq) has been widely adopted to study gene expression of the human testis. Several datasets of scRNA‐Seq from human testis have been generated from different groups processed with different informatics pipelines. An integrated atlas of scRNA‐Seq expression constructed from multiple donors, developmental ages, and fertility states would be widely useful for the testis research community.ObjectiveTo describe the generation and use of the human infertility single‐cell testis atlas (HISTA), an interactive web tool for understanding human spermatogenesis through scRNA‐Seq analysis.MethodsWe obtained scRNA‐Seq datasets derived from 12 donors, including healthy adult controls, juveniles, and several infertility cases, and reprocessed these data using methods to remove batch effects. Using Shiny, an open‐source environment for data visualization, we created numerous interactive tools for exploring the data, some of which support simple statistical hypothesis testing. We used the resulting HISTA browser and its underlying data to demonstrate HISTA's value for testis researchers.ResultsA primary application of HISTA is to search by a single gene or a set of genes; thus, we present various analyses that quantify and visualize gene expression across the testis cells and pathology. HISTA also contains machine‐learning‐derived gene modules (“components”) that capture the entire transcriptional landscape of the testis tissue. We show how the use of these components can simplify the highly complex data in HISTA and assist with the interpretation of genes with unknown functions. Finally, we demonstrate the diverse ways HISTA can be used for new data analysis, including hypothesis testing.Discussion and conclusionsHISTA is a research environment that can help scientists organize and understand the high‐dimensional transcriptional landscape of the human testis. HISTA has already contributed to published testis research and can be updated as needed with input from the research community or downloaded and modified for individual needs.
How to measure patient and family important outcomes in extremely preterm infants: A scoping review
Authors: Synnes Anne , Lam Mei Mei , Ricci M. Florencia , Church Paige , Simard Marie‐Noelle , Zwicker Jill G. , Luu Thuy Mai 
Published: April 2024

AbstractAimParents of children born preterm have identified outcomes to be measured for audit and research at 18–24 months of age: child well‐being, quality of life/function, socio‐emotional/behavioural outcomes, respiratory, feeding, sleeping, and caregiver mental health. The aim was to identify the best tools to measure these seven domains.MethodsSeven working groups completed literature reviews and evaluated potential tools to measure these outcomes in children aged 18–24 months. A group of experts and parents voted on the preferred tools in a workshop and by questionnaire. Consensus was 80% agreement.ResultsConsensus was obtained for seven brief, inexpensive, parent friendly valid measures available in English or French for use in a minimum dataset and potential alternative measures for use in funded research.ConclusionValid questionnaires and tools to measure parent‐identified outcomes in young preterm children exist. This study will facilitate research and collection of data important to families.
A two‐step item bank calibration strategy based on 1‐bit matrix completion for small‐scale computerized adaptive testing
Authors: Shen Yawei , Wang Shiyu , Xiao Houping 
Published: April 2024

AbstractComputerized adaptive testing (CAT) is a widely embraced approach for delivering personalized educational assessments, tailoring each test to the real‐time performance of individual examinees. Despite its potential advantages, CAT�s application in small‐scale assessments has been limited due to the complexities associated with calibrating the item bank using sparse response data and small sample sizes. This study addresses these challenges by developing a two‐step item bank calibration strategy that leverages the 1‐bit matrix completion method in conjunction with two distinct incomplete pretesting designs. We introduce two novel 1‐bit matrix completion‐based imputation methods specifically designed to tackle the issues associated with item calibration in the presence of sparse response data and limited sample sizes. To demonstrate the effectiveness of these approaches, we conduct a comparative assessment against several established item parameter estimation methods capable of handling missing data. This evaluation is carried out through two sets of simulation studies, each featuring different pretesting designs, item bank structures, and sample sizes. Furthermore, we illustrate the practical application of the methods investigated, using empirical data collected from small‐scale assessments.
The impact of mainstream financial press attention on stock pricing efficiency in the China stock market
Authors: Yin Haiyuan , Hu Xiangmiao 
Published: April 2024

AbstractAs the pivotal figure of information transmission in the capital market, the mainstream financial press has a significant impact on the operation of the stock market. Based on the mainstream financial press, this study obtains the news reports of 945 China A‐share listed companies in 2010–2019 and analyzes the relationship between the attention of the mainstream financial press and the efficiency of stock pricing. Further, we explore the mediating effect of corporate governance in this correlation. The empirical results show that the more reports on listed companies from the mainstream financial press the lower the delay level of the stock price of listed companies. At the same time, the characteristics information of the stock price increases, the higher the stock pricing efficiency. The attitude of press reports of listed companies also has an impact on the efficiency of stock pricing. The improvement of pricing efficiency will be achieved through neutral reporting. Mainstream financial press reports indirectly improve the efficiency of stock pricing by reducing the agency costs of the two types, and corporate governance plays a significant intermediary role in it. Finally, compared with market‐oriented media, the effect of policy‐oriented mainstream financial press on pricing efficiency is more significant.
Cysts and tumours of the iris: Diagnostic tools and key management considerations—A review
Authors: Kim Bia Z. , Lim Joevy Z. , McGhee Charles N. J. 
Published: April 2024

AbstractThe iris is a unique structure, with exquisite variations in colour and form. Pathological changes, specifically including iris cysts and tumours are relatively uncommon, difficult to diagnose, and yet potentially blinding or life‐threatening. Based on a comprehensive literature review, with highly illustrated key case examples, this report aims to guide the clinician in filtering the differential diagnoses of iris cysts and tumours. Evaluation is in the context of key diagnostic clinical tools and management considerations. Diagnostic imaging techniques include serial anterior segment photography, ultrasound, anterior segment optical coherence tomography, and iris fluorescein angiography, however, the roles of computerised topography and magnetic resonance imaging are also considered in this review. Management includes categorisation in terms of solid iris tumours (melanocytic vs. non‐melanocytic), or iris cysts (primary vs. secondary) that may be usefully differentiated by clinical assessment, avoiding more invasive interventions. Cystic lesions are generally benign, although implantation cysts in particular cause significant complications and surgical challenges. Most solid tumours are melanocytic and also typically benign. However, in larger lesions, rapid growth, symptoms and complications more likely indicate malignancy, requiring further investigation.