bluuebunny/crossref_metadata_2025_split huggingface dataset:
Round offer prices in M&A transactions: costly negotiation and psychological preference
Authors: Huang Ying , Hu Xiankui , Hunsader Kenneth , Zheng Steven Xiaofan 
Published: June 2023

PurposeThe authors of this study aim to investigate possible explanations of the prevalence of price clustering in the final offer prices of mergers and acquisitions (M&A).Design/methodology/approachThe authors use final offer price in M&A deals to investigate the price clustering phenomena. The authors used regressions and logistic regressions to examine potential factors that might affect pricing strategy by looking into one-time acquirers and experienced serial acquirers.FindingsPrice clustering increases with negotiation uncertainties characterized as competitive bidding, number of bidders, challenged deals and duration. Moreover, the authors find persistent price clustering in experienced serial acquirers that are more experienced and better equipped with handling uncertainties, suggesting a preference of using round numbers regardless of levels of uncertainties. The authors' evidence shows that price clustering results from a combination of Harris' (1991) costly negotiation hypothesis where round prices may be used to lower search costs and psychological bias and preference.Originality/valueThe authors appear to be the first to investigate alternative theories that support M&A offer price clustering behavior, finding that both the costly negotiation and psychological bias and preference theories apply to M&A final price formation. Thus, the authors' major contribution, specific to the M&A process, is a clarification of physical and psychological factors associated with bidding and negotiation behavior. The authors are confident that the authors' study impacts conventional knowledge regarding M&A deal negotiation strategies, including bidding behavior, contract negotiation, financial analysis, management practices and risk management.
Investigating retailing customers' adoption of augmented reality apps: integrating the unified theory of acceptance and use of technology (UTAUT2) and task-technology fit (TTF)
Authors: Khashan Mohamed A. , Elsotouhy Mohamed M. , Alasker Thamir Hamad , Ghonim Mohamed A. 
Published: June 2023

PurposeSince the advent of augmented reality (AR) technology, “Smart Retailing” has become the dominant business model in the retail sector. Therefore, comprehending the dynamics of AR adoption is essential if retailers are to successfully encourage customers to embrace this extremely innovative form of technology. As a result, the authors propose and evaluate a more comprehensive model, consisting of the task-technology fit (TTF) and unified theory of acceptance and use of technology (UTUAT2) models, for use in low-income countries.Design/methodology/approachThe present research uses variance-based partial least squares structural equation modeling (PLS-SEM) using WarpPLS.7 to examine 398 responses from Egyptian retail consumers.FindingsTTF, performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating condition (FC), hedonic motivation (HM) and customer innovativeness (CI) positively affect shoppers' behavioral intentions (BI) to adopt AR Apps in retail, while perceived risk (PR) negatively affects BI.Originality/valueThe current study is the first to investigate the determinants of shoppers' BI toward AR Apps adoption in the retail context using UTAUT2 and TTF models.
A 20-year intellectual journey with “EMES” through the land of social enterprise
Authors: Nyssens Marthe , Defourny Jacques , Adam Sophie 
Published: June 2023

Purpose
In 2022, the EMES Network celebrated its 20th anniversary. The purpose of this paper is to trace the intellectual path of social enterprise (SE) research that has unfolded through some of the major EMES research projects.

Design/methodology/approach
This journey is recounted through three major milestones: the emergence and development of the EMES approach; the identification of various SE schools of thought; the International Comparative Social Enterprise Models (ICSEM) Project.

Findings
The first section digs into the roots of the EMES approach – an ideal-type which allowed researchers to explore an SE field that was then largely unknown. In a second stage, a reading grid was developed to identify the different SE conceptions, their convergences and their divergences. In a third step, the ICSEM Project, acknowledging the impossibility to provide a single, universal definition of SE, aimed to identify SE models across the world. Defourny and Nyssens developed an SE typology and made the hypothesis that it was neither country-specific nor even context-specific. Based on the EMES ideal-type (which constituted a particularly relevant tool to inform the diversity of SE models), data were collected on over 700 SEs worldwide; three major SE models were found in almost all the countries covered.

Originality/value
This contribution does not aim to summarise all the – numerous and fruitful – research projects carried out by EMES members, but to show the common thread that runs through several of them.
Promoting landscapes with a low zoonotic disease risk through forest restoration: The need for comprehensive guidelines
Authors: Prist Paula Ribeiro , Siliansky de Andreazzi Cecilia , Vidal Mariana Morais , Zambrana‐Torrelio Carlos , Daszak Peter , Carvalho Raquel L. , Tambosi Leandro Reverberi 
Published: June 2023

Abstract

Zoonotic diseases represent 75% of emerging infectious diseases worldwide, and their emergence is mainly attributed to human‐driven changes in landscapes. Land use change, especially the conversion of natural areas to agricultural use, has the potential to impact hosts and vector dynamics, affecting pathogen transmission risk. While these links are becoming better understood, very few studies have investigated the opposite question—how native vegetation restoration affects zoonotic disease outbreaks.

We reviewed the existing evidence linking native vegetation restoration with zoonotic transmission risk, identified knowledge gaps, and, by focusing on tropical areas, proposed forest restoration strategies that could help in limiting the spread of zoonotic diseases.

We identified a large gap in information on the effects of native vegetation restoration on zoonotic diseases, especially within tropical regions. In addition, the few studies that exist do not consider environmental aspects that can affect the outcomes of restoration on disease risk, such as the land use history and landscape structural characteristics (as composition and configuration of native habitats). Our conceptual framework raises two important points: (1) the effects of forest restoration may depend on the context of the existing landscape, especially the percentage of native vegetation existing at the beginning of the restoration; and (2) these effects will also be dependent on the spatial arrangement of the restored area within the existing landscape. Furthermore, we propose important topics to be studied in the coming years to integrate zoonotic disease risk as a criterion in restoration planning.

Synthesis and application. Our results contribute to a more comprehensive forest restoration planning, comprising multiple ecosystem services and resulting in healthier landscapes for both people and nature. Our framework could be integrated into the post‐2020 global biodiversity framework targets.
Genome‐wide population structure, homozygosity, and heterozygosity patterns of Nero Siciliano pig in the framework of Italian and cosmopolitan breeds
Authors: Bordonaro Salvatore , Chessari Giorgio , Mastrangelo Salvatore , Senczuk Gabriele , Chessa Stefania , Castiglioni Bianca , Tumino Serena , Marletta Donata , Criscione Andrea 
Published: June 2023

AbstractAnalysis of genomic data is becoming more and more common for the effective management of livestock breeding programmes, even in the case of local populations. In this work, the genome‐wide data of Nero Siciliano pig breed were compared to that of wild boar, Italian local and cosmopolitan breeds to investigate its genetic structure, and runs of homozygosity (ROH) and heterozygosity patterns. The Nero Siciliano has been reported to have the highest rate of genetic diversity among the Italian breeds, and a genetic variability comparable to that of the cosmopolitan breeds. Analyses of genomic structure and relationships underlined its proximity to wild boar, and an internal substructure probably linked to different family lines. The breed showed a low value of inbreeding estimated from ROH, and the highest diversity index among the Italian breeds, even if lower than that of the cosmopolitans. Four ROH islands in three chromosomes (SSC8, SSC11, and SSC14) and one heterozygosity‐rich region (SSC1) were identified in Nero Siciliano, highlighting genomic regions related to productive QTL. Across breeds, SSC8 and SSC14 were the chromosomes with most ROH islands, with Mora Romagnola and wild boar showing the highest level of autozygosity. Chromosomes SSC2, SSC6, SSC8 and SSC13 showed the majority of runs of heterozygosity regions, mainly found in the cosmopolitan pig breeds, which reported several genes associated with health‐related QTL. The outlined results can help to better identify the genomic profile of this local breed in order to plan matings, maintain adequate internal diversity and exploit the production system.
Toward microfluidic integration of respiratory and renal organ support in a single cartridge
Authors: Setty Aakash A. , Chiang Tzu Y. , Santos Jose A. , Isenberg Brett C. , Vedula Else M. , Keating Rose A. , Sutherland David W. , Borenstein Jeffrey T. 
Published: June 2023

AbstractBackgroundExtracorporeal organ assist devices provide lifesaving functions for acutely and chronically ill patients suffering from respiratory and renal failure, but their availability and use is severely limited by an extremely high level of operational complexity. While current hollow fiber‐based devices provide high‐efficiency blood gas transfer and waste removal in extracorporeal membrane oxygenation (ECMO) and hemodialysis, respectively, their impact on blood health is often highly deleterious and difficult to control. Further challenges are encountered when integrating multiple organ support functions, as is often required when ECMO and ultrafiltration (UF) are combined to deal with fluid overload in critically ill patients, necessitating an unwieldy circuit containing two separate cartridges.MethodsWe report the first laboratory demonstration of simultaneous blood gas oxygenation and fluid removal in single microfluidic circuit, an achievement enabled by the microchannel‐based blood flow configuration of the device. Porcine blood is flowed through a stack of two microfluidic layers, one with a non‐porous, gas‐permeable silicone membrane separating blood and oxygen chambers, and the other containing a porous dialysis membrane separating blood and filtrate compartments.ResultsHigh levels of oxygen transfer are measured across the oxygenator, while tunable rates of fluid removal, governed by the transmembrane pressure (TMP), are achieved across the UF layer. Key parameters including the blood flow rate, TMP and hematocrit are monitored and compared with computationally predicted performance metrics.ConclusionsThese results represent a model demonstration of a potential future clinical therapy where respiratory support and fluid removal are both realized through a single monolithic cartridge.
Riboflavin protects against heart failure via SCAD‐dependent DJ‐1–Keap1–Nrf2 signalling pathway
Authors: Xu Qingping , Cao Yuhong , Zhong Xiaoyi , Qin Xue , Feng Jingyun , Peng Huan , Su Yongshao , Ma Zhichao , Zhou Sigui 
Published: June 2023

AbstractBackground and PurposeOur recent studies have shown that flavin adenine dinucleotide (FAD) exerts cardiovascular protective effects by supplementing short‐chain acyl‐CoA dehydrogenase (SCAD). The current study aimed to elucidate whether riboflavin (the precursor of FAD) could improve heart failure via activating SCAD and the DJ‐1–Keap1–Nrf2 signalling pathway.Experimental ApproachRiboflavin treatment was given to the mouse transverse aortic constriction (TAC)‐induced heart failure model. Cardiac structure and function, energy metabolism and apoptosis index were assessed, and relevant signalling proteins were analysed. The mechanisms underlying the cardioprotection by riboflavin were analysed in the cell apoptosis model induced by tert‐butyl hydroperoxide (tBHP).Key ResultsIn vivo, riboflavin ameliorated myocardial fibrosis and energy metabolism, improved cardiac dysfunction and inhibited oxidative stress and cardiomyocyte apoptosis in TAC‐induced heart failure. In vitro, riboflavin ameliorated cell apoptosis in H9C2 cardiomyocytes by decreasing reactive oxygen species (ROS). At the molecular level, riboflavin significantly restored FAD content, SCAD expression and enzymatic activity, activated DJ‐1 and inhibited the Keap1–Nrf2/HO1 signalling pathway in vivo and in vitro. SCAD knockdown exaggerated the tBHP‐induced DJ‐1 decrease and Keap1–Nrf2/HO1 signalling pathway activation in H9C2 cardiomyocytes. The knockdown of SCAD abolished the anti‐apoptotic effects of riboflavin on H9C2 cardiomyocytes. DJ‐1 knockdown hindered SCAD overexpression anti‐apoptotic effects and regulation on Keap1–Nrf2/HO1 signalling pathway in H9C2 cardiomyocytes.Conclusions and ImplicationsRiboflavin exerts cardioprotective effects on heart failure by improving oxidative stress and cardiomyocyte apoptosis via FAD to stimulate SCAD and then activates the DJ‐1–Keap1–Nrf2 signalling pathway.
Support networks among immigrant parents of young children: Assessing ecologies to inform outreach efforts
Authors: Edwards Nicole Megan , Isik‐Ercan Zeynep , Lu Huan‐Tang , Sebti Latifa 
Published: June 2023

AbstractTailoring support for first and second‐generation immigrant families with young children necessitates understanding the extent to which immigrant families initiate access to community resources and perceived support from formal and informal stakeholders in their ecology. As part of an exploratory analysis, we surveyed bilingual, immigrant parents (n = 54) in a mid‐Atlantic urban community in the United States. We examined factors that may correlate with seeking child‐related advice and/or emotional support. Sixty‐one percent of the sample approached at least one formal or informal contact for emotional support or advice in the past year, and willingness to do so was correlated with having a child with a suspected or diagnosed delay or disability. Stronger parent–stakeholder rapport was more likely to be reported with informal supports among younger parents (aged 20–30). Respondents with greater perceived parenting stress and child behaviour concerns were more likely to seek out stakeholders and less personalised sources. We discuss noteworthy implications for research and practice.
Toward a pluralistic conservation science
Authors: Cumming Graeme S. , Davies Zoe G. , Fischer Joern , Hajjar Reem 
Published: June 2023

AbstractThis editorial reflects on the history of the conservation movement, the strong continuing influence of its colonial past, and the counter‐emergence of a more pluralistic and respectful worldview. Conservation Letters seeks to support and foster an ethical and inclusive discipline of conservation that discards elements of its colonial and racist history. This will involve broadening the disciplinary scope of “conservation” and paying greater attention to traditional ecological knowledge and nonwestern conservation approaches. We also see a particular need for theoretical advances that guide conservation practice by informing and connecting different kinds of expertise to understand social‐ecological interactions and their implications for both people and ecosystems. Conservation can and should play a vital role in securing the joint future of ecosystems and people, but it will only achieve its full potential if it retains its social license and stays relevant to emerging concerns and values.
Data Management 101 for drug developers: A peek behind the curtain
Authors: Oronsky Bryan , Burbano Erica , Stirn Meaghan , Brechlin Joanne , Abrouk Nacer , Caroen Scott , Coyle Angelique , Williams Jeannie , Cabrales Pedro , Reid Tony R. 
Published: June 2023

AbstractIn drug development a frequently used phrase is “data‐driven”. Just as high‐test gas fuels a car, so drug development “runs on” high‐quality data; hence, good data management practices, which involve case report form design, data entry, data capture, data validation, medical coding, database closure, and database locking, are critically important. This review covers the essentials of clinical data management (CDM) for the United States. It is intended to demystify CDM, which means nothing more esoteric than the collection, organization, maintenance, and analysis of data for clinical trials. The review is written with those who are new to drug development in mind and assumes only a passing familiarity with the terms and concepts that are introduced. However, its relevance may also extend to experienced professionals that feel the need to brush up on the basics. For added color and context, the review includes real‐world examples with RRx‐001, a new molecular entity in phase III and with fast‐track status in head and neck cancer, and AdAPT‐001, an oncolytic adenovirus armed with a transforming growth factor‐beta (TGF‐β) trap in a phase I/II clinical trial with which the authors, as employees of the biopharmaceutical company, EpicentRx, are closely involved. An alphabetized glossary of key terms and acronyms used throughout this review is also included for easy reference.
IGG4‐related giant lymphoproliferative‐inflammatory left atrial mass
Authors: Yağcı Ahmet Faruk , Asil Serkan , Kaya Cihad , Dinç Cemal , Bozlar Uğur , Barçın Cem 
Published: June 2023

AbstractCardiac masses are rare entities that can be challenging in clinical diagnosis and management. Cardiac masses can be detected incidentally in patients with an asymptomatic course or may cause systemic inflammation findings due to inflammatory cytokine release or symptoms such as shortness of breath, chest pain, syncope, sudden cardiac death, and mortality due to the location of the mass. Cardiac masses associated with systemic inflammatory disorders are uncommon in this disease group. This case report will present a case with an asymptomatic IgG4‐related left atrial mass detected in routine echocardiographic control imaging due to rheumatic valve disease.
Object detection and classification from compressed video streams
Authors: Joshi Suvarna , Ojo Stephen , Yadav Sangeeta , Gulia Preeti , Gill Nasib Singh , Alsberi Hassan , Rizwan Ali , Hassan Mohamed M. 
Published: June 2023

AbstractVideo Analytics is widely used by the internet‐based platforms to govern the mass consumption of videos. Traditionally, it is carried out from the decoded format of the videos. This requires the analytics server to perform both decoding and analytics computation. This process can be made fast and efficient if performed over the compressed format of the videos as it reduces the decoding stress over the analytics server. The field of video analytics from the binarized formats using modern deep learning techniques is still emerging and needs further exploration. This proposed work is based on the same notion. In this work, two analytics tasks that is, classification and object detection are carried out from the binarized videos. The binarized formats are produced by using an already‐designed end‐to‐end video compression network. The experiments have been carried out over standard datasets. The proposed MobileNetv2‐based classification network shows an accuracy of 66% over the YouTube UGC dataset and the YOLOX‐S‐based detection network shows mAP of 45% over IMAGENet datasets. The proposed work shows competitiveness and improvement in the detection outcomes on compressed data and also provides further motivation for the adoption of deep learning‐based video compression in practical analytics domains.
Control of diatom and chrysophyte cyst dynamics by a meteorologically driven mixing regime in eutrophic Lake Żabińskie, northern Poland
Authors: Szczerba Agnieszka , Pla‐Rabes Sergi , Tylmann Wojciech 
Published: June 2023

Abstract

Ongoing climate warming has strong moderating control over aquatic processes, such as ice cover duration, length of the growing season, vertical mixing patterns, thermal stratification, and the availability of light and nutrients. These fundamental mechanisms in turn influence the population dynamics of aquatic organisms such as diatoms and chrysophytes.

In our study, over 3.5 years with contrasting meteorological conditions, we investigated eutrophic Lake Żabińskie located in northeast Poland. By combining observational data of meteorological conditions, physicochemical variables measured in the water column, and modern sedimentation, we sought to explain the relationships between changes in meteorological conditions, dynamics of total fluxes and the taxonomic composition of diatoms and chrysophyte cysts.

Our results show the direct influence of meteorological conditions on physicochemical conditions and their indirect influence on total diatom and chrysophyte cyst fluxes and taxonomic succession. The former refers to the importance of air temperature and wind speed in shaping the mixing regime of Lake Żabińskie, while the latter refers to the nutrient cycling driven by changes in the mixing regime, which in turn influences the formation of biotic signals in the sediment. Our study also revealed that the biotic response to unusual meteorological conditions that occurred in 2020 (i.e., warm winter without ice cover) differed from typical years in terms of the phenology of diatom and chrysophyte cyst blooms. However, this response was not as pronounced as in lakes with lower productivity and can be attributed to the already turbid conditions and high nutrient concentrations, which alter the threshold for noticeable changes to occur. The taxonomic composition of diatoms and chrysophyte cysts also changed in response to changes in meteorological conditions.

Complex interactions between physical and chemical conditions masked the direct influences of meteorological conditions on lake biota under eutrophic conditions. Nevertheless, high‐resolution monitoring enabled indirect links to be recognised. Both phenology and turnover in community composition responded to changes in meteorological conditions.

These results show how ongoing climate change might affect biota in eutrophic lakes in the future.
The predictive effects of motivational beliefs on listening strategy use: A structural equation modeling approach
Authors: Du Guohui , Man Deliang 
Published: June 2023

AbstractRelatively few studies have explored the factors influencing the use of listening strategies despite a growing recognition of their importance in L2 listening comprehension. This study applies the expectancy‐value theory to investigate whether motivational beliefs (i.e., listening anxiety, intrinsic motivation, extrinsic motivation, and listening self‐efficacy) can invariably predict different levels of listening strategic processing among Chinese tertiary English learners. Responses to a questionnaire solicited from 237 students were analyzed using a structural equation modeling approach. The results provided evidence of the positive effects of intrinsic motivation and listening self‐efficacy on English as a foreign language (EFL) learners’ exploitation of top‐down and bottom‐up strategies. However, extrinsic motivation only had a positive effect on the use of bottom‐up strategies, and listening anxiety only had a negative effect on the use of top‐down strategies. These findings revealed the different predictive effects of motivational beliefs on listening strategy use. The paper concludes with pedagogical implications for listening instruction.