bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dividend omissions and dividend cuts behaviour: a dynamic random-effect probit panel regression analysis
Authors: Patel Samveg 
Published: September 2024

PurposeThe study aims to examine the dividend omissions and dividend cuts behaviour of manufacturing and non-financial services firms to identify the determinants of dividend omissions and dividend cuts.Design/methodology/approachThe study analyses the financial data of 3,546 firms from 2011 to 2020 (35,460 firm-year observations) using a dynamic random-effect probit panel regression model.FindingsThe results suggest that profitability, growth opportunity, leverage, liquidity, risk, extraordinary income, shareholding pattern and buyback are major determinants of dividend omissions. Similarly, dividend cut in the previous year, profitability, operating cash flow, risk and extraordinary income are major factors leading to dividend cuts.Research limitations/implicationsFirms which omit the dividend are less likely to start paying dividend in subsequent years, whereas firms which cut the dividend may increase dividend in later years. Also, profitability decreases for a significant number of firms post dividend omission and cut. This indicates that dividend omission is a more prominent signal than a dividend cut for the financial health of a firm.Practical implicationsThe determinants identified in the study enable analysts and portfolio managers to decide the propensity of dividend omission and cut even before actual announcements and can alleviate the significant loss in the portfolio. Also, managers and the board of directors would be able to monitor the firm’s financial performance to avoid the situation leading to dividend omissions and cuts.Social implicationsThe study strongly recommends that firms should voluntarily pay dividends to shareholders to encourage the healthy participation of retail shareholders in the equity market and create a long-term win–win situation for all stakeholders in society. If a large number of firms continue not to pay the dividend, the study appeals to the regulators to intervene to protect shareholders' interests for the greater good of society.Originality/valueTo the best of author’s knowledge, this is the first study to empirically identify the determinants of dividend omission and cut in the unique setting like India where dividend taxation had undergone a significant change.
Polymer-based 3D printing of function-integrated optomechanics – design guidelines and system evaluation
Authors: Kranert Fabian , Hinkelmann Moritz , Lachmayer Roland , Neumann Jörg , Kracht Dietmar 
Published: September 2024

Purpose
This study aims to extend the known design guidelines for the polymer-based fused filament fabrication (FFF) 3D printing process with the focus on function-integrated components, specifically optomechanical parts. The potential of this approach is demonstrated by manufacturing function-integrated optomechanics for a low-power solid-state laser system.

Design/methodology/approach
For the production of function-integrated additively manufactured optomechanics using the FFF process, essential components and subsystems have been identified for which no design guidelines are available. This includes guidelines for integrating elements, particularly optics, into a polymer structure as well as guidelines for printing functional threads and ball joints. Based on these results, combined with prior research, a function-integrated low-power solid-state laser optomechanic was fabricated via the FFF process, using a commercial 3D printer of the type Ultimaker 3. The laser system's performance was assessed and compared to a reference system that employed commercial optomechanics, additionally confirming the design guidelines derived from the study.

Findings
Based on the design goal of function integration, the existing design guidelines for the FFF process are systematically extended. This success is demonstrated by the fabrication of an integrated optomechanic for a solid-state laser system.

Practical implications
Based on these results, scientists and engineers will be able to use the FFF process more extensively and benefit from the possibilities of function-integrated manufacturing.

Originality/value
Extensive research has been published on additive manufacturing of optomechanics. However, this research often emphasizes only cost reduction and short-term availability of components by reprinting existing parts. This paper aims to explore the capabilities of additive manufacturing in the production of function-integrated components to reduce the number of individual parts required, thereby decreasing the workload for system assembly and leading to an innovative production process for optical systems. Consequently, where needed, it provides new design guidelines or extends existing ones and verifies them by means of test series.
Bayesian time‐lapse full waveform inversion using Hamiltonian Monte Carlo
Authors: de Lima P. D. S. , Ferreira M. S. , Corso G. , de Araújo J. M. 
Published: September 2024

AbstractTime‐lapse images carry out important information about dynamic changes in Earth's interior, which can be inferred using different full waveform inversion schemes. The estimation process is performed by manipulating more than one seismic dataset, associated with the baseline and monitors surveys. The time‐lapse variations can be so minute and localized that quantifying the uncertainties becomes fundamental to assessing the reliability of the results. The Bayesian formulation of the full waveform inversion problem naturally provides confidence levels in the solution, but evaluating the uncertainty of time‐lapse seismic inversion remains a challenge due to the ill‐posedness and high dimensionality of the problem. The Hamiltonian Monte Carlo can effectively sample over high‐dimensional distributions with affordable computational efforts. In this context, we explore the sequential approach in a Bayesian fashion for time‐lapse full waveform inversion using the Hamiltonian Monte Carlo method. The idea relies on integrating the baseline survey information as prior knowledge to the monitor estimation. We compare this methodology with a parallel scheme in perfect and a simple perturbed acquisition geometry scenario considering the Marmousi and a typical Brazilian pre‐salt velocity model. We also investigate the correlation effect between baseline and monitor samples on the propagated uncertainties. The results show that samples between different surveys are weakly correlated in the sequential case, while the parallel strategy provides time‐lapse images with lower dispersion. Our findings demonstrate that both methodologies are robust in providing uncertainties even in non‐repeatable scenarios.
Theory is inclusive, practice is integrative? Discourses on inclusion in the education community
Authors: Sierra‐Martínez Silvia , Crestar Irene , Fernández‐Menor Isabel , Latas Ángeles Parrilla 
Published: September 2024

AbstractDefining educational inclusion is a complex task on which there is still no conceptual agreement among practitioners. Although the term inclusion has moved away from integration or disability, it has not yet been consolidated as the presence and participation of all students. Some of the reasons are lack of material and human resources, isolated curriculum or teacher training, among others. A qualitative research project was carried out with the aim of identifying the portraits that the different informant agents make of inclusion. The technique used to collect information was an open interview with 44 participants, representatives of different groups (head teachers, classroom teachers, specialists, counsellors, families, students, associations and politicians). The information was analysed using the content analysis model, supported by MAXQDA22 software. The results delve into (1) the dissonant issues with inclusion and (2) the rupture they perceive between legislation and daily practice, and (3) reveal five dominant discourses on the concept: as a legal measure, as a category, as an educational measure, as wealth and as participation. In conclusion, the vision of inclusion in this study remains confused, diffuse and utopian.
Concentration of polycyclic aromatic hydrocarbons (PAHs) in bread and health risk assessment across the globe: A systematic review and meta‐analysis
Authors: Asadi Touranlou Fateme , Hashemi Mohammad , Ghavami Vahid , Tavakoly Sany Seyedeh Belin 
Published: September 2024

AbstractAlthough bread is the principal food in most countries, polycyclic aromatic hydrocarbons (PAHs) may be present and pose a potential risk to consumers. The aim of this review is to provide a comprehensive report on the concentration and health risks associated with PAHs in bread around the world. Various databases, such as Scopus, PubMed, Science Direct, and Google Scholar, were searched from their beginnings until December 2023 for this systematic review, which included 34 potentially relevant articles with data relating to 1057 bread samples. Utilizing a multilevel regression modeling approach, the study evaluated various factors such as fuel type, bread type, and geographical location. Following the initial evaluation, in 26.47% and 20.28% of all studies, the levels of Bap and PAH4 were higher than the permissible limit values, respectively. Based on the isomer ratios, 55.88% of the studies associated the presence of PAHs in bread samples with pyrogenic/coal combustion sources. According to the carcinogenic risk results, bread consumers in all studies have been exposed to moderate or high levels of carcinogenicity. The most significant risk levels are associated with the consumption of bread in Egypt, Kuwait, Iran, and India. Moreover, meta‐regression analysis demonstrated significantly higher toxicity equivalent quotient and cancer risk mean values in bread baked using fossil fuels compared to other sources (p < .05). The high concentrations of PAHs, especially Benzo[a]pyrene, in bread pose a serious public health risk. Stringent regulations and monitoring are crucial to reduce contamination. Further research is necessary to develop safe processing methods to remove PAHs in bread.
Antimicrobial peptides derived from food byproducts: Sources, production, purification, applications, and challenges
Authors: Davoudi Mahshad , Gavlighi Hassan Ahmadi , Javanmardi Fardin , Benjakul Soottawat , Nikoo Mehdi 
Published: September 2024

AbstractFood wastes can be a valuable reservoir of bioactive substances that can serve as natural preservatives in foods or as functional ingredients with potential health benefits. The antimicrobial properties of protein hydrolysates, especially antimicrobial peptides (AMPs) derived from food byproducts (FBs), have been extensively explored. These protein fragments are defined by their short length, low molecular weight, substantial content of hydrophobic and basic amino acids, and positive net charge. The intricate mechanisms by which these peptides exert their antimicrobial effects on microorganisms and pathogens have been elaborately described. This review also focuses on techniques for producing and purifying AMPs from diverse FBs, including seafood, livestock, poultry, plants, and dairy wastes. According to investigations, incorporating AMPs as additives and alternatives to chemical preservatives in food formulations and packaging materials has been pursued to enhance both consumer health and the shelf life of foods and their products. However, challenges associated with the utilization of AMPs derived from food waste depend on their interaction with the food matrix, acceptability, and commercial viability. Overall, AMPs can serve as alternative safe additives, thereby ensuring the safety and prolonging the storage duration of food products based on specific regulatory approvals as recommended by the respective safety authorities.
Protein–phenolic interactions and reactions: Discrepancies, challenges, and opportunities
Authors: Kieserling Helena , de Bruijn Wouter J. C. , Keppler Julia , Yang Jack , Sagu Sorel Tchewonpi , Güterbock Daniel , Rawel Harshadrai , Schwarz Karin , Vincken Jean‐Paul , Schieber Andreas , Rohn Sascha 
Published: September 2024

AbstractAlthough noncovalent interactions and covalent reactions between phenolic compounds and proteins have been investigated across diverse scientific disciplines, a comprehensive understanding and identification of their products remain elusive. This review will initially outline the chemical framework and, subsequently, delve into unresolved or debated chemical and functional food‐related implications, as well as forthcoming challenges in this topic. The primary objective is to elucidate the multiple aspects of protein–phenolic interactions and reactions, along with the underlying overwhelming dynamics and possibilities of follow‐up reactions and potential crosslinking between proteins and phenolic compounds. The resulting products are challenging to identify and characterize analytically, as interactions and reactions occur concurrently, mutually influencing each other. Moreover, they are being modulated by various conditions such as the reaction parameters and, obviously, the chemical structure. Additionally, this review delineates the resulting discrepancies and challenges of properties and attributes such as color, taste, foaming, emulsion and gel formation, as well as effects on protein digestibility and allergenicity. Ultimately, this review is an opinion paper of a group of experts, dealing with these challenges for quite a while and aiming at equipping researchers with a critical and systematic approach to address current research gaps concerning protein–phenolic interactions and reactions.
AI‐based R&D for frozen and thawed meat: Research progress and future prospects
Authors: Qiao Jiangshan , Zhang Min , Wang Dayuan , Mujumdar Arun S. , Chu Chaoyang 
Published: September 2024

AbstractFrozen and thawed meat plays an important role in stabilizing the meat supply chain and extending the shelf life of meat. However, traditional methods of research and development (R&D) struggle to meet rising demands for quality, nutritional value, innovation, safety, production efficiency, and sustainability. Frozen and thawed meat faces specific challenges, including quality degradation during thawing. Artificial intelligence (AI) has emerged as a promising solution to tackle these challenges in R&D of frozen and thawed meat. AI's capabilities in perception, judgment, and execution demonstrate significant potential in problem‐solving and task execution. This review outlines the architecture of applying AI technology to the R&D of frozen and thawed meat, aiming to make AI better implement and deliver solutions. In comparison to traditional R&D methods, the current research progress and promising application prospects of AI in this field are comprehensively summarized, focusing on its role in addressing key challenges such as rapid optimization of thawing process. AI has already demonstrated success in areas such as product development, production optimization, risk management, and quality control for frozen and thawed meat. In the future, AI‐based R&D for frozen and thawed meat will also play an important role in promoting personalization, intelligent production, and sustainable development. However, challenges remain, including the need for high‐quality data, complex implementation, volatile processes, and environmental considerations. To realize the full potential of AI that can be integrated into R&D of frozen and thawed meat, further research is needed to develop more robust and reliable AI solutions, such as general AI, explainable AI, and green AI.
Emotional geographies of roadkill: Stained experiences of tourism in Tasmania
Authors: Leurs Elleke , Kirkpatrick James , Hardy Anne 
Published: September 2024

AbstractGlobally, road fatalities affect wildlife populations and ecosystems, leading to ecological imbalances, economic losses, and safety hazards for both animals and humans. However, the emotional toll on humans is less well understood. This research explores tourists’ responses to roadkill, using emotional geography as the overarching framework, and focusing on the island state of Tasmania in Australia. Tasmania is known for its diverse and abundant native wildlife, as well as the unfortunate distinction of having Australia’s highest rate of wildlife fatalities caused by vehicle collisions, commonly referred to as roadkill. A mixed‐method questionnaire asked respondents to share emotions, and we then considered their relationships to socio‐demographic attributes. Around 97% of respondents encountered roadkill during their stays, and 63% encountered live animals on or near the road. Tourists identified sadness as the most felt emotion when confronted with the consequences of wildlife–vehicle collisions. Anger and disgust were also experienced, primarily because of the unpleasant sight of roadkill and the realisation that animals suffered. Women reported being more negatively affected than men. Tourists who had visited to see wildlife were more affected than those who had not. Analysis leads to the conclusion that unplanned, sporadic, unexpected, and confronting encounters with dead animals detract from the tourism experience for most, especially encounters with wildlife was anticipated as a positive experience on tour. Such findings have wider implications for those working in the tourism industry in mainland Australia, Canada, and South Africa, where roadkill is also problematic.
How to Assess Digitisation Impacts on the Food Industry: The Dutch Case of Microdata Collection for Firms’ Sustainability
Authors: Dalhaus Tobias , Uhlemann Jan‐Philip , van der Voort Mariska , Bonestroo John , Zilberman David , Reardon Thomas 
Published: September 2024

SummaryDigital innovations can increase resilience and sustainability of food businesses due to for instance increasing efficiency, reducing pollution or improving transparency about production conditions. However, much of the research on this topic has been done at the primary production level, i.e. on technology impacts on farms, or remains at an ex‐ante case study level when looking at digital technology impacts in downstream food businesses. Therefore, ex‐post impacts of digital technologies after their adoption are largely unknown.We here argue that this knowledge gap arises from the fact that we lack single company data (i.e. micro‐data) on the adoption of digital technologies in food businesses. Only with this information can actual impacts of these technologies be assessed using causal inference methods. As a way forward, we highlight a unique dataset of digital technology adoption among Dutch downstream food businesses that is available for research purposes. We show that digital technologies already have a considerable market penetration in the Netherlands. Therefore, we urge the scientific community and governmental statistical offices to collect and make available similar data globally and make use of the already existing data. Such impact assessments will inform and accelerate the transition towards more sustainable and resilient food value chains.
Long‐term outcomes and risk profile of cT3N0 breast cancer treated with neoadjuvant chemotherapy and curative surgery
Authors: Shin Young Seob , Jeong Jae Ho , Chung Il Yong , Lee Jaeha , Kim Su Ssan , Ahn Seung Do , Lee Jong Won , Son Byung Ho , Jung Jinhong 
Published: September 2024

AbstractIntroductionWe evaluated the treatment outcomes and failure patterns in cT3N0 breast cancer patients classified for rigorous pretreatment evaluation and treated with neoadjuvant chemotherapy (NAC) and curative surgery.MethodsWe reviewed the records of 87 cT3N0 breast cancer patients who received NAC and curative surgery between 2000 and 2015. The clinical high‐risk group was defined as having two or more risk factors: age < 40, histologic grade 3, lymphovascular invasion, hormone receptor negativity, and Ki‐67 labeling index >20%.ResultsOf the patients, 84 (96.6%) and 79 (90.8%) were initially evaluated using magnetic resonance imaging and positron emission tomography/computed tomography. Most patients received anthracycline based NAC regimen (n = 69, 79.3%) and modified radical mastectomy (n = 61, 70.1%). During a 91.5‐month median follow‐up, ten patients experienced distant metastasis (DM) only, two had isolated local recurrence, one had local recurrence and DM, and another had local recurrence, regional recurrence, and DM. The 5‐year rates of locoregional recurrence, DM, any recurrence (AR), and overall survival (OS) were 1.2%, 11.6%, 11.6%, and 90.8%, respectively. The risk group was an independent prognostic factor of recurrence, and the high‐risk group had worse rates of DM (19.2% vs. 0%, P = 0.009), AR (19.2% vs. 0%, P = 0.016) and OS (82.8% vs. 100%, P = 0.001).ConclusionPatients with cT3N0 breast cancer classified for rigorous pretreatment evaluation and treated with NAC and radical surgery had favourable oncological outcomes. A clinical risk group based on clinical and immunohistochemical risk factors was an excellent predictor of survival and recurrence.
Association between folate intake and radiographic progression, pain function scores in subjects with radiographic knee osteoarthritis: Data from the osteoarthritis initiative
Authors: Luo Huanhuan , Zheng Zitian , Xiong Yujun , Xu Huazhao , Xue Qingyun , Sun Chao 
Published: September 2024

AbstractBackgroundFolate has an important role in the functioning of the musculoskeletal system, including modulation of inflammation, immunity, cartilage regeneration, prevention of osteoporosis, and maintenance of muscle strength, but evidence on the association between folate intake and knee pain, functional scores, and radiographic progression in patients with knee osteoarthritis (OA) is still limited.MethodologyOur population‐based cohort was extracted from the osteoarthritis initiative (OAI), focusing on individuals with prevalent radiographic knee OA (with a Kellgren–Lawrence score ≥2). Folate consumption was determined using the food frequency questionnaire. Data regarding the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores and radiographic readings were collected over 48 months. We analyzed the compiled data using generalized additive mixed models.ResultsOur cohort consisted of 1472 OA patients (626 men and 846 women, mean [SD] age 62.35 [8.92]). At the 48‐month follow‐up, we observed a significant correlation between higher folate intake and a slower progression of knee pain and functional scores, as evidenced by a statistically significant decrease in the WOMAC total score, WOMAC pain subscale score, and WOMAC function/disability subscale score (p < .05). The fully adjusted models estimated a reduction of −0.028 points per 50 μg/1000 kcal of daily folate intake on the WOMAC pain subscale, −0.117 points on the WOMAC function subscale, and −0.160 points on the total WOMAC scale. Furthermore, our nonparametric fit analysis suggested that a higher intake of folate might decelerate the radiographic progression of OA. Stratified analyses indicated that an increase in folate consumption might particularly benefit men, older adults, overweight and obese individuals, and those with a higher dietary fiber intake.ConclusionHigher folate intake is correlated with improved knee function and reduced pain in patients with knee OA and might deter the radiographic progression of OA. The benefits appear to be more pronounced in men, older adults, overweight and obese individuals, and those with a higher dietary fiber intake.