bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probing
CP
Violation with Neutrino Disappearance Alone
Authors: Denton Peter B. 
Published: July 2024

The best way to probe CP violation in the lepton sector is with long-baseline accelerator neutrino experiments in the appearance mode: the appearance of νe in predominantly νμ beams. Here we show that it is possible to discover CP violation with disappearance experiments only, by combining JUNO for electron neutrinos and DUNE or Hyper-Kamiokande for muon neutrinos. While the maximum sensitivity to discover CP is quite modest (1.6σ with 6 years of JUNO and 13 years of DUNE), some values of δ may be disfavored by >3σ depending on the true value of δ.

Published by the American Physical Society
2024
How can firms achieve sustainable high growth? A case study based on the integrating orchestration of digital elements and traditional resources
Authors: Wang Juanjuan , Zhang Xiao , Chi Yu 
Published: July 2024

Purpose
This study aims to analyze the paths and mechanisms of firms’ sustainable high growth. Firms’ high growth is susceptible to interruption, stagnation or reversal. Thus, how firms can achieve sustainable high growth is an important topic that requires urgent discussion and has significant implications for sustainable economic development and employment.

Design/methodology/approach
This study applies a longitudinal case study approach to portray the process by which Jiashu orchestrated digital elements with traditional resources to continuously fulfill their user demands and ultimately achieve sustainable high growth.

Findings
This study reveals three resource orchestration strategies: trust-oriented, demand-oriented and efficiency-oriented. These strategies are adopted in an organization’s startup, expansion and maturity periods, respectively. By dynamically integrating and orchestrating digital elements with traditional resources, firms implement a growth strategy with expanding and stacking dimensions, leading to sustainable high growth. The replicability and connectivity resulting from orchestrating digital elements and traditional resources encourage firms to expand their dimensions of growth and achieve sustainable high growth in multiple dimensions.

Research limitations/implications
This study conducts a preliminary exploration of the relationship between the integration of digital and traditional elements and the sustainable high growth of enterprises. A more stable theoretical relationship between the two requires further multi-case studies and empirical analysis for substantiation.

Originality/value
This study first clarifies the concept of sustainable high growth and reveals a unique nonlinear path characterized by growth with expanding and stacking dimensions. The findings contribute to deepening the theories of sustainable high growth and resource orchestration in the digital economy era and offer practical implications for the sustainable high-growth practices of firms.
Textile wastewater: COD removal via Box–Behnken design, Fenton method, and machine learning integration for sustainability
Authors: Turkes Selman , Güney Hakan , Mezarciöz Serin , Sari Bülent , Tetik Selami Seçkin 
Published: July 2024

PurposeThe widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.Design/methodology/approachThe Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.FindingsThe study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.Originality/valueThis study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.
Corporate governance and capital structure dynamics: evidence from an emerging market
Authors: Farooq Muhammad , Khan Muhammad Imran , Aljabri Qadri , Khan Muhammad Tahir 
Published: July 2024

PurposeThis study aims to examine the impact of corporate governance on the speed of adjustment (SOA) of capital structure in a developing market, Pakistan.Design/methodology/approachThe study's sample includes 173 non-financial enterprises that were listed on the Pakistan Stock Exchange (PSX) between 2011 and 2020. The capital structure of the sample companies is determined by the ratio of total debt to total debt plus the market value of equity. Corporate governance is measured by board size, independence, CEO duality, management ownership, blockholders ownership and institutional ownership. A two-step difference GMM model was used to achieve the study's objectives.FindingsThrough applying the reduced form model approach, we discovered that corporate governance variables have a considerable negative impact on the speed of targeted leverage adjustment in sample firms. Additionally, to check the robustness of results, the two-stage technique used to examine this corporate governance-SOA relationship. Furthermore, we discovered that smaller enterprises modify their capital structure more than larger firms. Furthermore, corporations prioritize short-term debt adjustment above long-term debt adjustment.Practical implicationsThe study's findings provide further information to company managers and investors on the relationship between corporate governance quality and the pace of adjustment towards targeted leverage across Pakistani enterprises. Furthermore, this study adds new information from growing countries such as Pakistan to the existing literature, which can help regulatory authorities and policymakers improve the quality of corporate governance. It is commonly known that improving the quality of corporate governance practices improves the firm's capital structure, which benefits all stakeholders.Originality/valueIn the context of developing economies, the academic literature lacks research that examine the impact of corporate governance on dynamic capital structure decisions. This study intends to fill this gap.
Study on the lubrication performance of the pitcher plant–like textured surface with various parameters
Authors: Zhang Dongya , Gao Yanping , Wu Pengju , Zhang Yanchao , Wang Liping 
Published: July 2024

Purpose
This paper aims to enhance lubrication performance of the pitcher plant–like textured surface with various parameters.

Design/methodology/approach
A pitcher plant–like structure surface is fabricated on the copper alloy, and the lubrication performance of the pitcher plant–like structure with various parameters is evaluated. In addition, the pressure distribution and oil film load capacity of the pitcher plant–like surface are simulated based on Navier–Stokes equations.

Findings
When the direction of motion aligns with the pitcher plant–like structure, the friction coefficient remains lower than that of the nontextured surface, and it exhibits a decreasing trend with the increasing of the texture width and spacing distance; the lowest friction coefficient (0.04) is achieved with B = 0.3 mm, L = 1.0 mm and θ = 45°, marking a 75% reduction compared to the nontextured surface. Simulation results demonstrate that with the increase in texture width and spacing distance, the oil film load-bearing capacity demonstrates an increasing trend.

Originality/value
Bionic pitcher plants are prepared on the copper alloy to improve the lubrication performance and wear resistance.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0119/
Exploring the heuristics behind the transition to a circular economy in the textile industry
Authors: Dziubaniuk Olga , Ivanova-Gongne Maria , Kaipainen Jenni , Nyholm Monica 
Published: July 2024

PurposeThe transition to a circular economy (CE) is a known concern in the context of the textile industry, in which business actors attempt to facilitate circular activities such as textile recycling. However, a lack of established business relationships and networks creates uncertainty for textile circulation. In such business environments, managerial decisions regarding CE may depend not only on normative behaviour but also on heuristics that guide their choices. Since business relationships for textile circularity require interactions between business actors, this study explores how managerial heuristics are shaped in the CE transition within the textile industry and their impact on actors’ interactions within business relationships and networks.Design/methodology/approachEmpirically, this qualitative study is based on interviews with managers representing companies and organisations engaged in business relationships and networks aimed at a CE transition in the textile industry, as well as on publicly available secondary data.FindingsThe findings indicate that managerial decisions promoting circularity can be influenced by, besides normative information assessment, factors predominant in (1) the business and regulatory environment, (2) managers’ experience and knowledge obtained during interactions within business networks and (3) the internal strategic approaches of business organisations. This study identifies adaptation, experience, interaction and strategy heuristics that may be utilised by managers in making decisions in the context of uncertainty, such as the industrial transition to a CE.Originality/valueThis study expands the knowledge of heuristics applied to managerial decision making in interacting business firms and institutional organisations aiming to facilitate textile recycling and proposes a heuristics toolbox. The study provides an insight into business actors’ interactions, as well as various factors inside and outside the organisations shaping the managerial decisions. By doing this, the study adds to the literature, highlighting the importance of contextualisation and the interrelation between the individual and business environment levels in business-to-business management.
How responsible research can improve management decision making
Authors: Craig Russell , Tourish Dennis 
Published: July 2024

Purpose
We encourage CEOs to exercise greater care when using research to inform their decision-making.

Design/methodology/approach
For analytical framing, we draw on published literature to highlight three common inadequacies of research in leadership and management (lack of relevance, lack of credibility, and obsession with theory). We distinguish between three broad types of research: responsible research, irresponsible research and aresponsible research.

Findings
When commissioning research or using research findings, CEOs should be guided by a six-point checklist that includes applying the principles of responsible research advocated by the Responsible Research for Business Network.

Originality/value
We believe we are the first authors to propose the concept of aresponsible research
Quality and stability of frying oils and fried foods in ultrasound and microwave–assisted frying processes and hybrid technologies
Authors: Yildiz Aysun Yurdunuseven , Echegaray Noemí , Öztekin Sebahat , Lorenzo José Manuel 
Published: July 2024

AbstractFrying is a popular cooking method that produces delicious and crispy foods but can also lead to oil degradation and the formation of health‐detrimental compounds in the dishes. Chemical reactions such as oxidation, hydrolysis, and polymerization contribute to these changes. In this context, emerging technologies like ultrasound‐assisted frying (USF) and microwave (MW)‐assisted frying show promise in enhancing the quality and stability of frying oils and fried foods. This review examines the impact of these innovative technologies, delving into the principles of these processes, their influence on the chemical composition of oils, and their implications for the overall quality of fried food products with a focus on reducing oil degradation and enhancing the nutritional and sensory properties of the fried food. Additionally, the article initially addresses the various reactions occurring in oils during the frying process and their influencing factors. The advantages and challenges of USF and MW‐assisted frying are also highlighted in comparison to traditional frying methods, demonstrating how these innovative techniques have the potential to improve the quality and stability of oils and fried foods.
Prevalence, serotype, antimicrobial susceptibility, contamination factors, and control methods of Salmonella spp. in retail fresh fruits and vegetables: A systematic review and meta‐analysis
Authors: Ma Jiaqi , Dai Jinghan , Cao Chenyang , Su Li , Cao Mengyuan , He Yuanjie , Li Mei , Zhang Zengfeng , Chen Jia , Cui Shenghui , Yang Baowei 
Published: July 2024

AbstractThis research presents a comprehensive review of Salmonella presence in retail fresh fruits and vegetables from 2010 to 2023, utilizing data from recognized sources such as PubMed, Scopus, and Web of Science. The study incorporates a meta‐analysis of prevalence, serovar distribution, antimicrobial susceptibility, and antimicrobial resistance genes (ARGs). Additionally, it scrutinizes the heterogeneous sources across various food categories and geographical regions The findings show a pooled prevalence of 2.90% (95% CI: 0.0180−0.0430), with an increase from 4.63% in 2010 to 5.32% in 2022. Dominant serovars include S. Typhimurium (29.14%, 95% CI: 0.0202−0.6571) and S. Enteritidis (21.06%, 95% CI: 0.0181−0.4872). High resistance rates were noted for antimicrobials like erythromycin (60.70%, 95% CI: 0.0000−1.0000) and amoxicillin (39.92%, 95% CI: 0.0589−0.8020). The most prevalent ARGs were blaTEM (80.23%, 95% CI: 0.5736−0.9692) and parC mutation (66.67%, 95% CI: 0.3213−0.9429). Factors such as pH, water activity, and nutrient content, along with external factors like the quality of irrigation water and prevailing climatic conditions, have significant implications on Salmonella contamination. Nonthermal sterilization technologies, encompassing chlorine dioxide, ozone, and ultraviolet light, are emphasized as efficacious measures to control Salmonella. This review stresses the imperative need to bolster prevention strategies and control measures against Salmonella in retail fresh fruits and vegetables to alleviate related food safety risks.
Design, construction and optimization of formaldehyde growth biosensors with broad application in biotechnology
Authors: Schann Karin , Bakker Jenny , Boinot Maximilian , Kuschel Pauline , He Hai , Nattermann Maren , Paczia Nicole , Erb Tobias , Bar‐Even Arren , Wenk Sebastian 
Published: July 2024

AbstractFormaldehyde is a key metabolite in natural and synthetic one‐carbon metabolism. To facilitate the engineering of formaldehyde‐producing enzymes, the development of sensitive, user‐friendly, and cost‐effective detection methods is required. In this study, we engineered Escherichia coli to serve as a cellular biosensor capable of detecting a broad range of formaldehyde concentrations. Using both natural and promiscuous formaldehyde assimilation enzymes, we designed three distinct E. coli growth biosensor strains that depend on formaldehyde for cell growth. These strains were engineered to be auxotrophic for one or several essential metabolites that could be produced through formaldehyde assimilation. The respective assimilating enzyme was expressed from the genome to compensate the auxotrophy in the presence of formaldehyde. We first predicted the formaldehyde dependency of the biosensors by flux balance analysis and then analysed it experimentally. Subsequent to strain engineering, we enhanced the formaldehyde sensitivity of two biosensors either through adaptive laboratory evolution or modifications at metabolic branch points. The final set of biosensors demonstrated the ability to detect formaldehyde concentrations ranging approximately from 30 μM to 13 mM. We demonstrated the application of the biosensors by assaying the in vivo activity of different methanol dehydrogenases in the most sensitive strain. The fully genomic nature of the biosensors allows them to be deployed as “plug‐and‐play” devices for high‐throughput screenings of extensive enzyme libraries. The formaldehyde growth biosensors developed in this study hold significant promise for advancing the field of enzyme engineering, thereby supporting the establishment of a sustainable one‐carbon bioeconomy.
An Iron Age village in the Hajjar Mountains of Northern Oman: QA 21 in the Qumayrā microregion
Authors: Szymczak Agnieszka , Iskra Mateusz 
Published: July 2024

AbstractExcavations at the site of QA 21 near the village of ʿAyn Banī Saʿdah in the Qumayrā microregion yielded new information on Iron Age (IA) II settlement in the Hajjar mountains. Located halfway between the modern towns of Yanqul and Buraymī, in an area with little‐known Iron Age occupation, QA 21 is a c. 2 ha open site scattered with the remains of numerous buildings. The pottery found on the surface is largely of IA II date even though some of the structures can date from a later, possibly Late Islamic period. Excavations of a large IA II house provided a rich and well‐stratified collection of pottery, some stone tools and marine shells. Analysis of the finds’ distribution and the building's construction details revealed functional differences between certain areas of the house. The entire structure can be interpreted as a large village household with domestic, storage and food‐processing areas. The provenance of the ceramic assemblage associated with this household is both regional and local, as indicated by geochemical analysis of the pottery, suggesting that the settlement participated in regional exchange networks.
The future is here: an easy‐to‐use toolkit for integrating genetics into conservation management
Authors: Hogg C. J. , Farquharson K. A. , Brandies P. , Silver L. W. , Ottewell K. , McLennan E. A. , Richmond S. , Belov K. 
Published: July 2024

AbstractOver the past decade, the development of genetic and genomic tools for conservation management has come forward in leaps and bounds. Once considered a ‘nice to have’, genetic data are fast becoming an essential tool for informing and managing translocations. However, due to the complexity of the field, easily using genetic data for decision‐making and monitoring remains beyond the reach of most managers and conservation biologists. In May 2020, we launched the Threatened Species Initiative (TSI), a programme designed to generate genomic resources for Australia's threatened species. Critical to the project is not only the generation of reference genomes and population genetic data but an online toolkit for conservation managers. The toolkit is a ‘one stop shop’ from collecting samples, to generating and analysing genetic data, to an easily interpretable genetic management report. A series of workflows and pipelines have been developed, including the TSI Biodiversity Portal, that uses point and click web interfaces to easily transfer raw sequence data and assemble genomes, transcriptomes and soon population genetics for management decisions. Here we present how the current toolkit works and provide case study examples for how it is being used to inform translocations and the management of threatened species.
Successful treatment of infantile refractory bullous pemphigoid with baricitinib
Authors: Zhou Weinan , Tan Yidong , Chen Xuanyi , Zhang Wenqing , Sun Zhe , Shen Yihang , Yao Zhirong , Cheng Ruhong , Gu Yan 
Published: July 2024

AbstractInfantile bullous pemphigoid (BP) is a rare autoantibody‐mediated skin disorder. We report the effective treatment of a 6‐month‐old infant with BP using baricitinib, a Janus kinase (JAK) inhibitor, after failure with steroids and intravenous immunoglobulin. The patient achieved full remission and discontinued all medications without any relapses. To our knowledge, this is the first case of baricitinib used in an infant with BP.
Soluble adenylyl cyclase is an acid‐base sensor in rainbow trout red blood cells that regulates intracellular pH and haemoglobin–oxygen binding
Authors: Harter Till S. , Smith Emma A. , Salmerón Cristina , Thies Angus B. , Delgado Bryan , Wilson Rod W. , Tresguerres Martin 
Published: July 2024

AbstractAimTo identify the physiological role of the acid‐base sensing enzyme, soluble adenylyl cyclase (sAC), in red blood cells (RBC) of the model teleost fish, rainbow trout.MethodsWe used: (i) super‐resolution microscopy to determine the subcellular location of sAC protein; (ii) live‐cell imaging of RBC intracellular pH (pHi) with specific sAC inhibition (KH7 or LRE1) to determine its role in cellular acid‐base regulation; (iii) spectrophotometric measurements of haemoglobin–oxygen (Hb‐O2) binding in steady‐state conditions; and (iv) during simulated arterial‐venous transit, to determine the role of sAC in systemic O2 transport.ResultsDistinct pools of sAC protein were detected in the RBC cytoplasm, at the plasma membrane and within the nucleus. Inhibition of sAC decreased the setpoint for RBC pHi regulation by ~0.25 pH units compared to controls, and slowed the rates of RBC pHi recovery after an acid‐base disturbance. RBC pHi recovery was entirely through the anion exchanger (AE) that was in part regulated by HCO3−‐dependent sAC signaling. Inhibition of sAC decreased Hb‐O2 affinity during a respiratory acidosis compared to controls and reduced the cooperativity of O2 binding. During in vitro simulations of arterial‐venous transit, sAC inhibition decreased the amount of O2 that is unloaded by ~11%.ConclusionsAC represents a novel acid‐base sensor in the RBCs of rainbow trout, where it participates in the modulation of RBC pHi and blood O2 transport though the regulation of AE activity. If substantiated in other species, these findings may have broad implications for our understanding of cardiovascular physiology in vertebrates.