bluuebunny/crossref_metadata_2025_split huggingface dataset:
Negotiations on food security at the WTO: a never-ending story?
Authors: McMahon Joseph A. 
Published: July 2024

Purpose
The purpose is to chart the negotiations on the issue of food security which was identified as a non-trade concern by the Agreement on Agriculture (AOA) and how developing Members of the World Trade Organisation (WTO) suggested that that concern should be addressed.

Design/methodology/approach
The history of negotiations at the WTO is examined through the lens of official documents submitted during various phases of negotiations since 1996 beginning with the Analysis and Information Exchange process to the Doha Round up to the latest Ministerial Conference in Abu Dhabi in February 2024.

Findings
The negotiations have yet to complete despite beginning over 20 years ago. The focus moved since 2008 to look at specific issues which were addressed at a number of Ministerial Conferences but the latest of these indicate that an answer can only be found in the re-negotiation of the AOA as a whole.

Research limitations/implications
By focusing on official documents, the rich literature on food security has not been addressed.

Practical implications
The piece concludes by looking at issues which need to be resolved ahead of agreement on overall reform and suggests solutions for example in the area of safeguards and public stockholding for food security purposes.

Originality/value
The focus almost exclusively on official (and public) documents during the discussion is noteworthy. It also confirms that the WTO is not really that different from its predecessor - the GATT - which took nearly 50 years to reach AOA.
Digital entrepreneurship among Egyptian women: autonomy, experience and community
Authors: Mousa Mohamed , Shahzad Faisal , Misbah Shabana Maha 
Published: July 2024

PurposeGiven the remarkable increase in entrepreneurial activities initiated by women in the Egyptian context in addition to the scarcity of empirical studies on digital self-employment there, the authors of the present paper aim to identify what motivates women to engage in digital entrepreneurship, and to identify how those women establish their digital entrepreneurial activities.Design/methodology/approachThe authors employed a qualitative research method through semi-structured interviews with 30 women entrepreneurs who own and manage digital businesses. Thematic analysis was subsequently used to determine the main ideas in the transcripts.FindingsThe authors have found that enjoying absolute independence, securing more time for family, guaranteeing an independent source of income in addition to the ease of accessing extensive online markets are the main motives behind the engagement of women in the Egyptian context in digital entrepreneurship activities. Moreover, the authors have also asserted that the minimal training and government support stimulate women entrepreneurs there to start and continue their digital business activities informally.Originality/valueThis paper contributes by filling a gap in entrepreneurship studies in which empirical studies on establishing and managing digital entrepreneurship among women in developing economies has been limited so far.
Discovering supply chain operation towards sustainability using machine learning and DES techniques: a case study in Vietnam seafood
Authors: Le Luan Thanh , Xuan-Thi-Thu Trang 
Published: July 2024

PurposeTo achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This study examines the operational dynamics of a supply chain (SC) in Vietnam as a case study utilizing an ML simulation approach.Design/methodology/approachA robust fuel consumption estimation model is constructed by leveraging multiple linear regression (MLR) and artificial neural network (ANN). Subsequently, the proposed model is seamlessly integrated into a cutting-edge SC simulation framework.FindingsThis paper provides valuable insights and actionable recommendations, empowering SC practitioners to optimize operational efficiencies and fostering an avenue for further scholarly investigations and advancements in this field.Originality/valueThis study introduces a novel approach assessing sustainable SC performance by utilizing both traditional regression and ML models to estimate transportation costs, which are then inputted into the discrete event simulation (DES) model.
What’s the difference between factors influencing household waste management and energy-saving behavior? A meta-analysis
Authors: Huang Jiaxin , Li Wenbo , Cheng Xiu , Cui Ke 
Published: July 2024

PurposeThis study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).Design/methodology/approachA meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.FindingsThe results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.Originality/valueThe same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.
Unlocking the sustainable tourism development in the USA: what are the effects of carbon emission?
Authors: Alabi Joses Bamigboye , Deka Abraham 
Published: July 2024

PurposeThis study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on tourism development in the United States of America, a top international tourism destination in the world, from 1995 to 2021.Design/methodology/approachTo this end we use the Autoregressive Distributive Lag method which captures short and long run effects. This method is also fundamental in presenting robust results when time series data with short time periods is used. The FMOLS and DOLS methods are used to ensure the robustness of the findings.FindingsThe results of the Autoregressive Distributive Lag indicate that spending on tourism contributes to the growth of the tourist industry in the country. The study reveals that economic growth has a detrimental impact on the development of tourism. Furthermore, carbon emissions are exclusively impeding the long-term progress of tourism development. The country's prioritization of economic growth has led to a rise in carbon emissions, disregarding the desire of tourists to experience a pollution-free and natural environment. Moreover, foreign direct investment exerts a beneficial impact on the advancement of tourism.Originality/valueAlthough there has been numerous research on the factors that influence tourism, there is less documentation on the specific factors affecting tourism development. The research examines the effect of carbon emission of tourism development of United States, the World's top tourism destinations. Few studies have attempted to unlock this association in the United States; hence, the research originality.
Impact of environmental knowledge, responsibility and concern on sustainable consumption behavior: does customer attitude matter?
Authors: Rousta Alireza , Allaf Jafari Elnaz 
Published: July 2024

PurposeThe constant population growth and inappropriate consumption patterns have led to abnormal use of the earth's capacities, destruction of natural resources, enormous spread of diseases, and increased waste materials. Thus, these issues should be highlighted to avoid serious problems for the earth. Accordingly, this study examines the effect of environmental knowledge (EK), environmental responsibility (ER), and environmental concern (EC) on sustainable consumption behavior (SCB), with the mediating role of customer attitude (CA).Design/methodology/approachThe present applied study is descriptive-correlational. The statistical population includes customers of Hyperstar stores located in Tehran. Overall, a sample size of 384 people was selected based on Cochran's formula. The data were collected using standard questionnaires and analyzed using structural equation modeling and Smart PLS version 3 software.FindingsThe fit of the proposed model was confirmed at measurement, structural, and general levels. Thus, it indicates that the structural model has an acceptable fit. Furthermore, the findings emphasize that ER and EC have a positive effect on CA, and ER and EC have a positive impact on SCB. ER and EC have a positive effect on SCB through the mediation of CA, while EK does not have any significant effect on SCB but EK has an effect on SCB through the mediation of CA.Originality/valueGiven the growth of environmental destruction, it is necessary to consider the change of CA toward buying sustainable products. Therefore, this study pays attention to the mediating role of attitude and examines the effects of EK, EC, and ER that cause SCB among customers of Hyperstars.
Melt Pool characteristics on surface roughness and printability of 316L stainless steel in laser powder bed fusion
Authors: Zhang Tianyu , Yuan Lang 
Published: July 2024

Purpose
Surface quality and porosity significantly influence the structural and functional properties of the final product. This study aims to establish and explain the underlying relationships among processing parameters, top surface roughness and porosity level in additively manufactured 316L stainless steel.

Design/methodology/approach
A systematic variation of printing process parameters was conducted to print cubic samples based on laser power, speed and their combinations of energy density. Melt pool morphologies and dimensions, surface roughness quantified by arithmetic mean height (Sa) and porosity levels were characterized via optical confocal microscopy.

Findings
The study reveals that the laser power required to achieve optimal top surface quality increases with the volumetric energy density (VED) levels. A smooth top surface (Sa < 15 µm) or a rough surface with humps at high VEDs (VED > 133.3 J/mm3) can serve as indicators for fully dense bulk samples, while rough top surfaces resulting from melt pool discontinuity correlate with high porosity levels. Under insufficient VED, melt pool discontinuity dominates the top surface. At high VEDs, surface quality improves with increased power as mitigation of melt pool discontinuity, followed by the deterioration with hump formation.

Originality/value
This study reveals and summarizes the formation mechanism of dominant features on top surface features and offers a potential method to predict the porosity by observing the top surface features with consideration of processing conditions.
Sintering parameter investigation for bimetallic stainless steel 316L/inconel 718 composite printed by dual-nozzle fused deposition modeling
Authors: Jiang Cho-Pei , Masrurotin Masrurotin , Ramezani Maziar , Wibisono Alvian Toto , Toyserkani Ehsan , Macek Wojciech 
Published: July 2024

PurposeFused deposition modeling (FDM) nowadays offers promising future applications for fabricating not only thermoplastic-based polymers but also composite PLA/Metal alloy materials, this capability bridges the need for metallic components in complex manufacturing processes. The research is to explore the manufacturability of multi-metal parts by printing green bodies of PLA/multi-metal objects, carrying these objects to the debinding process and varying the sintering parameters.Design/methodology/approachThree different sample types of SS316L part, Inconel 718 part and bimetallic composite of SS316L/IN718 were effectively printed. After the debinding process, the printed parts (green bodies), were isothermally sintered in non-vacuum chamber to investigate the fusion behavior at four different temperatures in the range of 1270 °C−1530 °C for 12 h and slowly cooled in the furnace. All samples was assessed including geometrical assessment to measure the shrinkage, characterization (XRD) to identify the crystallinity of the compound and microstructural evolution (Optical microscopy and SEM) to explore the porosity and morphology on the surface. The hardness of each sample types was measured and compared. The sintering parameter was optimized according to the microstructural evaluation on the interface of SS316L/IN718 composite.FindingsThe investigation indicated that the de-binding of all the samples was effectively succeeded through less weight until 16% when the PLA of green bodies was successfully evaporated. The morphology result shows evidence of an effective sintering process to have the grain boundaries in all samples, while multi-metal parts clearly displayed the interface. Furthermore, the result of XRD shows the tendency of lower crystallinity in SS316L parts, whilst IN718 has a high crystallinity. The optimal sintering temperature for SS316L/IN718 parts is 1500 °C. The hardness test concludes that the higher sintering temperature gives a higher hardness result.Originality/valueThis study highlights the successful sintering of a bimetallic stainless steel 316 L/Inconel 718 composite, fabricated via dual-nozzle fused deposition modeling, in a non-vacuum environment at 1500 °C. The resulting material displayed maximum hardness values of 872 HV for SS316L and 755.5 HV for IN718, with both materials exhibiting excellent fusion without any cracks.
Vertical confinement enhances surface exploration in bacterial twitching motility
Authors: Chen Xiao , Zhang Rongjing , Yuan Junhua 
Published: July 2024

AbstractBacteria are often found in environments where space is limited, and they attach themselves to surfaces. One common form of movement on these surfaces is bacterial twitching motility, which is powered by the extension and retraction of type IV pili. Although twitching motility in unrestricted conditions has been extensively studied, the effects of spatial confinement on this behaviour are not well understood. In this study, we explored the diffusive properties of individual twitching Pseudomonas aeruginosa cells in spatially confined conditions. We achieved this by placing the bacteria between layers of agarose and glass, and then tracking the long‐term twitching motility of individual cells. Interestingly, we found that while confinement reduced the immediate speed of twitching, it paradoxically increased diffusion. Through a combination of mechanical and geometrical analysis, as well as numerical simulations, we showed that this increase in diffusion could be attributed to mechanical factors. The constraint imposed by the agarose altered the diffusion pattern of the bacteria from normal to superdiffusion. These findings provide valuable insights into the motile behaviour of bacteria in confined environments.
‘All cases are false’: law, gendered violence, and the politics of thickening in Himalayan India
Authors: Govindrajan Radhika 
Published: July 2024

AbstractThis article focuses on Indian women's experiences of filing complaints of gendered violence in order to address two interconnected questions: how are complaints of gendered and sexual violence authenticated as genuine or rejected as dubious before they even reach a courtroom? And how do women who bring these complaints before the law navigate a social field in which what counts as the ‘truth’ might conflict with their own understandings and experiences? Drawing on ethnographic fieldwork in the Central Himalayan state of Uttarakhand in India, this article explores how family, community, and local state officials engaged in a kind of thick description that contextualized women's complaints within rural social relations and political economy. It shows how this politics of thickening often displaced women's individual experiences of violence and served to falsify their complaints. This everyday thickening bears a troubling similarity to the theory and methods of feminist activists and anthropologists, necessitating reflection on how to write ethically about gendered violence without replicating violence. Finally, this article turns attention to how some women decided to take on this politics of thickening through canny adoption of its methods and premises, eventually stretching the limits of the law and unintentionally expanding its scope.
Emotion in and through crisis
Authors: Qi Xiaoying 
Published: July 2024

AbstractTo the extent that emotions are noticed in consideration of crisis they are typically thought to be negative, linked to the disruptive consequences of crisis. Based on semi‐structured in‐depth interviews the article shows that crisis precipitates not only negative but also positive emotions and that the complex of emotional experiences that emerge in the COVID pandemic crisis play a significant role in the transformation of outlook and practice persons undergo during crisis. Situating the study of crisis in an emotions‐interaction framework the article identifies the properties of relational emotionality inherent in experience of crisis, revealing the nature of ambivalent emotions and identifying other‐directed emotional labour. Crisis is not only a social relational but also a collective phenomenon through which actors are embedded in emotional constellations. A study of crisis in relation to emotion contributes to sociological understanding of not only crisis but also emotion.
Unraveling the flavor profiles of chicken meat: Classes, biosynthesis, influencing factors in flavor development, and sensory evaluation
Authors: Xu Chunhui , Yin Zhaozheng 
Published: July 2024

AbstractChicken is renowned as the most affordable meat option, prized by consumers worldwide for its unique flavor, and universally recognized for its essential savory flavor. Current research endeavors are increasingly dedicated to exploring the flavor profile of chicken meat. However, there is a noticeable gap in comprehensive reviews dedicated specifically to the flavor quality of chicken meat, although existing reviews cover meat flavor profiles of various animal species. This review aims to fill this gap by synthesizing knowledge from published literature to describe the compounds, chemistry reaction, influencing factors, and sensory evaluation associated with chicken meat flavor. The flavor compounds in chicken meat mainly included water‐soluble low‐molecular‐weight substances and lipids, as well as volatile compounds such as aldehydes, ketones, alcohols, acids, esters, hydrocarbons, furans, nitrogen, and sulfur‐containing compounds. The significant synthesis pathways of flavor components were Maillard reaction, Strecker degradation, lipid oxidation, lipid‐Maillard interaction, and thiamine degradation. Preslaughter factors, including age, breed/strain, rearing management, muscle type, and sex of chicken, as well as postmortem conditions such as aging, cooking conditions, and low‐temperature storage, were closely linked to flavor development and accounted for the significant differences observed in flavor components. Moreover, the sensory methods used to evaluate the chicken meat flavor were elaborated. This review contributes to a more comprehensive understanding of the flavor profile of chicken meat. It can serve as a guide for enhancing chicken meat flavor quality and provide a foundation for developing customized chicken products.
Advanced functional materials as reliable tools for capturing food‐derived peptides to optimize the peptidomics pre‐treatment enrichment workflow
Authors: Peng Jian , Jia Wei , Zhu Jiying 
Published: July 2024

AbstractPeptidomics strategies with high throughput, sensitivity, and reproducibility are key tools for comprehensively analyzing peptide composition and potential functional activities in foods. Nevertheless, complex signal interference, limited ionization efficiency, and low abundance have impeded food‐derived peptides’ progress in food detection and analysis. As a result, novel functional materials have been born at the right moment that could eliminate interference and perform efficient enrichment. Of note, few studies have focused on developing peptide enrichment materials for food sample analysis. This work summarizes the development of endogenous peptide, phosphopeptide, and glycopeptide enrichment utilizing materials that have been employed extensively recently: organic framework materials, carbon‐based nanomaterials, bio‐based materials, magnetic materials, and molecularly imprinted polymers. It focuses on the limitations, potential solutions, and future prospects for application in food peptidomics of various advanced functional materials. The size‐exclusion effect of adjustable aperture and the modification of magnetic material enhanced the sensitivity and selectivity of endogenous peptide enrichment and aided in streamlining the enrichment process and cutting down on enrichment time. Not only that, the immobilization of metal ions such as Ti4+ and Nb5+ enhanced the capture of phosphopeptides, and the introduction of hydrophilic groups such as arginine, L‐cysteine, and glutathione into bio‐based materials effectively optimized the hydrophilic enrichment of glycopeptides. Although a portion of the carefully constructed functional materials currently only exhibit promising applications in the field of peptide enrichment for analytical chemistry, there is reason to believe that they will further advance the field of food peptidomics through improved pre‐treatment steps.