bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lean manufacturing practices and industry 4.0 technologies in food manufacturing companies: the Greek case
Authors: Psomas Evangelos , Deliou Cleopatra 
Published: December 2023

Purpose
Food manufacturing companies which are essential for national economies, need to attach importance to the adoption of both the lean manufacturing (LM) operational excellence methodology and the Industry I4.0 (I4.0) technologies that empower LM to achieve operational improvement. This study aims to focus on the Greek food manufacturing companies and determine the degree of implementation of LM practices and I4.0 technologies and the impact of I4.0 on LM.

Design/methodology/approach
A survey was conducted based on a structured questionnaire which included items reflecting LM practices and I4.0 technologies. A sample of Greek food manufacturing companies were approached and 102 of them fully completed the questionnaire. Descriptive statistics were applied to determine the degree of implementation of LM practices and I4.0 technologies, while the impact of I4.0 on LM was determined through the linear regression analysis.

Findings
The degree of implementation of LM practices in the responding food manufacturing companies is high, while the degree of implementation of I4.0 technologies is low to medium. The findings also support a significant and positive impact of I4.0 on LM.

Research limitations/implications
The small size of the sample of the responding Greek food manufacturing companies, the subjective character of the data collected and the cross-sectional nature of the study, constitute the main limitations of the study. Based on these limitations, further studies can be designed.

Practical implications
The present study findings can guide the managers of the food manufacturing companies to further increase the degree of implementation of LM practices through adopting I4.0 technologies. Therefore, they can improve quality, eliminate waste, survive and be more competitive in the current difficult business environment. Academics can also benefit from the present study, given that it provides the LM practices and I4.0 technologies that can be further tested and validated in the food sector.

Originality/value
To the best of the authors’ knowledge, this is the first study that focuses on LM and I4.0 in the Greek food manufacturing companies operating in a business environment where the crises of finance, energy and the Covid-19 pandemic dominate.
Political tensions and technological innovation driving the military robot business
Authors: Bogue Robert 
Published: December 2023

Purpose
The purpose of this paper is to provide a detailed insight into the global military robot industry with an emphasis on products and their applications.

Design/methodology/approach
Following an introduction which includes a brief historical account, this provides an industry overview, including various market dimensions and a discussion of the geopolitical and technological factors driving market development. The three following sections provide details of land, airborne and marine robots, their capabilities and deployments in recent conflicts. Finally, brief conclusions are drawn.

Findings
Military robots which operate on land, in the air and at sea constitute a multi-billion dollar industry which is growing rapidly. It is being driven by geopolitical tensions, notably the military-technology arms race between China and the USA and the conflict in Ukraine, together with technological progress, particularly in AI. Many robots possess multi-functional capabilities, and the leading application is presently intelligence, surveillance and reconnaissance. An increasing number of heavily armed robots are being developed, and AI has the potential to impart these with the capacity to deliver lethal force without human intervention. Although heavily criticised in some quarters, this capability has probably already been deployed on the battlefield. With ever-growing military budgets, escalating political tensions and technological innovations, robots will play an increasingly significant role in future conflicts.

Originality/value
This provides a detail account of military robots and their role in modern warfare.
Creation of social interaction environments with robot for autistic children: analysis of assessment instruments and type of activities
Authors: Lorenzo Gonzalo , López-Núñez Juan Antonio , Lorenzo-Lledó Alejandro , López-Belmonte Jesús 
Published: December 2023

PurposeThe aim of the study is to conduct a thematic review of assessment tools and types of activities in the application of robotics to autistic students during the period 1996–2021 using Web of Science and Scopus. The sample consisted of 119 documents.Design/methodology/approachNowadays, emerging technologies have become increasingly prevalent across various fields of knowledge. In this regard, robotics is being increasingly applied in the educational environment. The characteristics of this tool are the ones that best suit the needs of autistic students.FindingsResults reveal that 16.80% of the studies used automatic measurement systems, whilst 15.96% of the studies used user observation and recording techniques. As for the tasks, 37.80% were focussed on imitation tasks. Amongst the practical implications is the need to include tasks that could be developed collaboratively in the regular classroom.Originality/valueWith this research, it is intended to disseminate in the scientific community what are the characteristics that should have the interaction activities between a robot and autistic students. In addition, the type of tool needed to evaluate the improvements in the interaction is proposed.
Social media engagement of hashtag users in the context of local events: mixed method approach
Authors: Lin Boyu , Lee Woojin , Choe Yunseon 
Published: December 2023

Purpose
Local events play a significant role in rebuilding relationships and increasing engagement with local communities in the postpandemic. This study aims to investigate how potential attendees’ usage of local event hashtags facilitates social media engagement, further enhancing their intentions to attend local events.

Design/methodology/approach
This study adopted an exploratory sequential mixed approach. The qualitative phase used 12 semistructured in-depth interviews to explore motivations for hashtag usage and developed instruments to measure hashtag usage and social media engagement. The quantitative phase examined the relationship among motivations and behaviors of hashtag usage, social media engagement and behavioral intention through 522 online surveys.

Findings
Qualitatively, four themes manifest in hashtag users’ motivations in the context of local events: self-promoting, searching, summarizing and conforming. The quantitative findings show that these motivations influence active and passive hashtag usage differently, leading to different types of social media engagement (i.e. persistent, customized and triggered engagement). All social media engagements can significantly enhance the intention to attend local events.

Originality/value
This study divides active and passive hashtag users, conceptualizes social media engagement through hashtag usage under the affordance approach and develops instruments for these concepts. It emphasizes the importance of hashtag usage that drives social media engagement and provides insights for local event planners.
Critical masses and voluntary climate change disclosures: evidence from Türkiye
Authors: Kutlu Furtuna Ozlem , Sönmez Hilal 
Published: December 2023

Purpose
This paper aims to examine the effect of critical mass of women managers on corporate boards on the voluntary disclosure of climate change in a developing country in which the regulations on climate change disclosure is an area of growing research interest.

Design/methodology/approach
This study uses logistic panel regression models with a sample of 1,001 firm-years for companies in the Borsa Istanbul 100 Index that were asked to disclose voluntary climate change indicators over the seven-year period from 2014 to 2020 through the Carbon Disclosure Project.

Findings
This paper provides evidence from an emerging country that the critical mass of women on the board has no impact on voluntary climate change disclosure. In addition, the presence of independent managers on the board was found to have a significant impact on climate change disclosure. In addition, the results show that larger companies are more likely to report their climate change activities. Large companies are more visible due to their size, are perceived by stakeholders as more polluting and are, therefore, more likely to report on the environment.

Social implications
The results show that the critical mass of women on the board has no effect on voluntary disclosure of climate change. Empirical tests are still needed to strengthen the overall validity of the critical mass of at least three women on boards in Türkiye.

Originality/value
Despite many valuable insights provided by critical mass theory, very few studies directly address critical mass and voluntary disclosure of climate change. To the best of the authors’ knowledge, this study is the first empirical and comprehensive paper in the Turkish context evaluating critical masses and voluntary corporate climate change giving a comparison between firms listed on financial industry and nonfinancial industry.
Applying behaviour change theory to parent‐led language interventions for children in the early years
Authors: Barnett Sarah E. , Stringer Helen , Letts Carolyn 
Published: December 2023

AbstractBackgroundThe aim of many interventions used by speech and language therapists (SLTs) is to change behaviours related to communication and interaction. Parent‐led language interventions for children in the early years (0–5 years) rely on SLTs supporting parents to change their behaviour in child‐focused interactions to effect a change in the child's communication. Therapeutic techniques used by SLTs in parent‐led language interventions are largely underspecified, impacting on intervention reporting, replication, trialling and development. The Behaviour Change Technique Taxonomy Version 1 (BCTTv1) offers a method of describing intervention techniques developed for use in public health interventions, but with several examples of its application to speech and language interventions.AimsTo identify behaviour change techniques (BCTs) from the BCTTv1 occurring in parent‐led language interventions for children in the early years.Methods & ProceduresA literature search identified relevant descriptions of parent‐led language interventions. These were coded using the BCTTv1. A reliability check was carried out on 10% of the descriptions. To confirm the use of identified BCTs in clinical practice, results of the literature search were triangulated with an online survey of SLTs, and observations of SLTs delivering parent‐led language intervention.Outcomes & ResultsA total of 84 papers containing descriptions of 45 interventions were coded; 62 SLTs responded to the survey and three SLTs were observed delivering parent‐led language intervention. A total of 24 BCTs were identified in the literature search, replicated in the observations and verified by SLTs in the survey. BCTs were identified at two levels: Level 1 SLT implemented to change parent interactive behaviour; and Level 2 parent implemented to change child communicative behaviour.Conclusions & ImplicationsThe BCTTv1 is a useful starting place for describing parent‐led language interventions. With some additions and adjustments, BCTs identified in this study were immediately recognized by practitioners and can easily be adopted into practice.WHAT THIS PAPER ADDSWhat is already known on this subject
Techniques used in SLT interventions are often not clearly described. The BCTTv1 has been used to clarify technique descriptions with success in a small number of SLT disciplines, but not yet in parent‐led language interventions for preschoola children.What this paper adds to the existing knowledge
This paper constitutes the first research into quantifying the techniques used in parent‐led language interventions using the BCTTv1.What are the potential or actual clinical implications of this work?
This paper provides a clear list of techniques used by SLTs implementing interventions for preschool children, which can be immediately adopted and used in practice. It also highlights potential adjustments and gaps in the BCTTv1 in relation to SLT which can contribute to future iterations.
Bringing up to date the toolkit for the catabolism of aromatic compounds in fungi: The unexpected 1,2,3,5‐tetrahydroxybenzene central pathway
Authors: Martins Tiago M. , Bento Artur , Martins Celso , Tomé Ana S. , Moreira Carlos J. S. , Silva Pereira Cristina 
Published: December 2023

AbstractSaprophytic fungi are able to catabolize many plant‐derived aromatics, including, for example, gallate. The catabolism of gallate in fungi is assumed to depend on the five main central pathways, i.e., of the central intermediates' catechol, protocatechuate, hydroxyquinol, homogentisate and gentisate, but a definitive demonstration is lacking. To shed light on this process, we analysed the transcriptional reprogramming of the growth of Aspergillus terreus on gallate compared with acetate as the control condition. Surprisingly, the results revealed that the five main central pathways did not exhibit significant positive regulation. Instead, an in‐depth analysis identified four highly expressed and upregulated genes that are part of a conserved gene cluster found in numerous species of fungi, though not in Aspergilli. The cluster comprises a monooxygenase gene and a fumarylacetoacetate hydrolase‐like gene, which are recognized as key components of catabolic pathways responsible for aromatic compound degradation. The other two genes encode proteins with no reported enzymatic activities. Through functional analyses of gene deletion mutants in Aspergillus nidulans, the conserved short protein with no known domains could be linked to the conversion of the novel metabolite 5‐hydroxydienelatone, whereas the DUF3500 gene likely encodes a ring‐cleavage enzyme for 1,2,3,5‐tetrahydroxybenzene. These significant findings establish the existence of a new 1,2,3,5‐tetrahydroxybenzene central pathway for the catabolism of gallate and related compounds (e.g. 2,4,6‐trihydroxybenzoate) in numerous fungi where this catabolic gene cluster was observed.
Imaging in interventional oncology, the better you see, the better you treat
Authors: Gómez Fernando M , Van der Reijd Denise J , Panfilov Ilia A , Baetens Tarik , Wiese Kevin , Haverkamp‐Begemann Naomi , Lam Siu W , Runge Jurgen H , Rice Samuel L , Klompenhouwer Elisabeth G , Maas Monique , Helmberger Thomas , Beets‐Tan Regina GH 
Published: December 2023

SummaryImaging and image processing is the fundamental pillar of interventional oncology in which diagnostic, procedure planning, treatment and follow‐up are sustained. Knowing all the possibilities that the different image modalities can offer is capital to select the most appropriate and accurate guidance for interventional procedures. Despite there is a wide variability in physicians preferences and availability of the different image modalities to guide interventional procedures, it is important to recognize the advantages and limitations for each of them. In this review, we aim to provide an overview of the most frequently used image guidance modalities for interventional procedures and its typical and future applications including angiography, computed tomography (CT) and spectral CT, magnetic resonance imaging, Ultrasound and the use of hybrid systems. Finally, we resume the possible role of artificial intelligence related to image in patient selection, treatment and follow‐up.
Potential PCR amplification bias in identifying complex ecological patterns: Higher species compositional homogeneity revealed in smaller‐size coral reef zooplankton by metatranscriptomics
Authors: Mattos Felipe M. G. , Dreyer Niklas , Fong Chia‐Ling , Wen Yung‐Hui Victoria , Jain Dharmesh , De Vivo Mattia , Huang Yu‐Sin , Mwihaki John Karichu , Wang Tzi‐Yuan , Ho Ming‐Jay , Tsai Isheng Jason , Wang John , Chan Benny K. K. , Machida Ryuji J. 
Published: December 2023

AbstractPCR‐based high‐throughput sequencing has permitted comprehensive resolution analyses of zooplankton diversity dynamics. However, significant methodological issues still surround analyses of complex bulk community samples, not least as in prevailing PCR‐based approaches. Marine drifting animals—zooplankton—play essential ecological roles in the pelagic ecosystem, transferring energy and elements to higher trophic levels, such as fishes, cetaceans and others. In the present study, we collected 48 size‐fractionated zooplankton samples in the vicinity of a coral reef island with environmental gradients. To investigate the spatiotemporal dynamics of zooplankton diversity patterns and the effect of PCR amplification biases across these complex communities, we first took metatranscriptomics approach. Comprehensive computational analyses revealed a clear pattern of higher/lower homogeneity in smaller/larger zooplankton compositions across samples respectively. Our study thus suggests changes in the role of dispersal across the sizes. Next, we applied in silico PCR to the metatranscriptomics datasets, in order to estimate the extent of PCR amplification bias. Irrespective of stringency criteria, we observed clear separations of size fraction sample clusters in both metatranscriptomics and in silico datasets. In contrast, the pattern—smaller‐fractioned communities had higher compositional homogeneity than larger ones—was observed in the metatranscriptomics data but not in the in silico datasets. To investigate this discrepancy further, we analysed the mismatches of widely used mitochondrial CO1 primers and identified priming site mismatches likely driving PCR‐based biases. Our results suggest the use of metatranscriptomics or, although less ideal, redesigning the CO1 primers is necessary to circumvent these issues.
Climatic disasters and distracted analysts
Authors: Han Yuqi , Mao Connie X. , Tan Hongping , Zhang Chi 
Published: December 2023

AbstractUsing a sample of 30,270 forecasts by 2,280 analysts under a stacked difference‐in‐differences framework involving 22 major climatic disasters in the United States, we examine the effect of climatic disasters on information production by security analysts, who play a crucial role in the financial market as information intermediaries. We find that earnings forecasts by analysts who experienced a major climatic disaster become less accurate than those by unaffected analysts within 3 months after the disaster, due to distracted attention. Disaster‐zone analysts are more likely to allocate their attention to firms of greater importance or salience, and they tend to reiterate their previous forecasts to maintain the quantity and timeliness of their forecasts. Overall, we document the real impact of cognitive bias on financial professionals' performance.
Quantitative photography for rapid, reliable measurement of marine macro‐plastic pollution
Authors: Razzell Hollis Joseph , Henderson Gabrielle , Lavers Jennifer L. , Rea Edward , Komyakova Valeriya , Bond Alexander L. 
Published: December 2023

Abstract

Plastics are now ubiquitous in the environment and have been studied in wildlife and in ecosystems for more than 50 years. Measurement of size, shape and colour data for individual fragments of plastic is labour‐intensive, unreliable and prone to observer bias, particularly when it comes to assessment of colour, which relies on arbitrary and inconsistently defined colour categorisations. There is a clear need for a standard method for data collection on plastic pollution, particularly one that can be readily automated given the number of samples involved.

This study describes a new method for standardised photography of marine plastics in the 1–100 mm size range (meso‐ and macro‐plastics), including colour correction to account for any image‐to‐image variation in lighting that may impact colour reproduction or apparent brightness. Automated image analysis is then applied to detect individual fragments of plastic for quantitative measurement of size, shape, and colour.

The method was tested on 3793 fragments of debris ingested by Flesh‐footed Shearwaters (Ardenna carneipes) on Lord Howe Island, Australia, and compare results from photos taken in two separate locations using different equipment. Photos were acquired of up to 250 fragments at a time with a spatial resolution of 70 μm/pixel and were colour‐corrected using a reference chart to ensure accurate reproduction of colour. The automated image analysis pipeline was found to have a 98% success rate at detecting fragments, and the different size and shape parameters that can be outputted by the pipeline were compared in terms of usefulness.

The evidence shown in this study should strongly encourage the uptake of this method for cataloguing macro‐scale plastic pollution, as it provides substantially higher quality data with accurate, reliable measurements of size, shape and colour for individual plastics that can be readily compared between disparate datasets.
The association between chrononutrition behaviors and muscle health among older adults: The study of muscle, mobility and aging
Authors: Mao Ziling , Cawthon Peggy M. , Kritchevsky Stephen B. , Toledo Frederico G. S. , Esser Karyn A. , Erickson Melissa L. , Newman Anne B. , Farsijani Samaneh 
Published: December 2023

AbstractEmerging studies highlight chrononutrition's impact on body composition through circadian clock entrainment, but its effect on older adults' muscle health remains largely overlooked. To determine the associations between chrononutrition behaviors and muscle health in older adults. Dietary data from 828 older adults (76 ± 5 years) recorded food/beverage amounts and their clock time over the past 24 h. Studied chrononutrition behaviors included: (1) The clock time of the first and last food/beverage intake; (2) Eating window (the time elapsed between the first and last intake); and (3) Eating frequency (Number of self‐identified eating events logged with changed meal occasion and clock time). Muscle mass (D3‐creatine), leg muscle volume (MRI), grip strength (hand‐held dynamometer), and leg power (Keiser) were used as outcomes. We used linear regression to assess the relationships between chrononutrition and muscle health, adjusting for age, sex, race, marital status, education, study site, self‐reported health, energy, protein, fiber intake, weight, height, and moderate‐to‐vigorous physical activity. Average eating window was 11 ± 2 h/day; first and last intake times were at 8:22 and 19:22, respectively. After multivariable adjustment, a longer eating window and a later last intake time were associated with greater muscle mass (β ± SE: 0.18 ± 0.09; 0.27 ± 0.11, respectively, p < 0.05). The longer eating window was also marginally associated with higher leg power (p = 0.058). An earlier intake time was associated with higher grip strength (−0.38 ± 0.15; p = 0.012). Chrononutrition behaviors, including longer eating window, later last intake time, and earlier first intake time were associated with better muscle mass and function in older adults.