bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the construction site supervisory attributes in effectuating mathematical theories and applications to construction operations
Authors: Manoharan Kesavan , Dissanayake Pujitha , Pathirana Chintha , Deegahawature Dharsana , Silva Renuka 
Published: August 2023

PurposeSite supervision features largely influence the productivity status of construction operational processes. This study aims to use a case study containing mixed methods to test the site supervisory traits in applying mathematical theories to construction operations for directing supervisory capabilities under various operational characteristics.Design/methodology/approachA total of 62 construction site supervisors were trained as part of a new apprenticeship programme. Through literature reviews and expert consultations, grading criteria were designed with various degrees of descriptions and score ratings. The supervisory attributes were evaluated under seven competency element characteristics mapped with the relevant learning domains.FindingsThe results demonstrate a detailed sectional view of performance ratings of supervisors under different characteristics of competency factors with the validity, reliability, applicability and generalisability assurance of the research findings using relevant statistical tests and expert evaluations.Research limitations/implicationsThough the research applications were engaged directly with the construction industry in the Sri Lankan setting, other developing countries and emerging industries can also employ equivalent tactics to attain similar outcomes in their industry-based operations.Originality/valueThe research findings have led to producing a new guide that makes significant impacts on deciding the capability levels in construction supervisory attributes while executing problem-solving applications in construction planning and operational processes. Accordingly, the findings push to open a gate to intake advanced cognitive attributes towards addressing the industry's knowledge gap on how the problem-solving-based apprenticeship protocols need to be linked with the supervision features.
How to build rapport in online space: using online chat emoticons for qualitative interviewing in feminist research
Authors: Park Jiyea 
Published: August 2023

PurposeThis study draws on the author's experiences building rapport through online chat for data collection for the author's doctoral dissertation. The author contacted ten Korean women via online chat to recruit and faced the most challenging situation; building rapport. As the Millennial generation is known as being tech-savvy or digital natives, the author actively used emoticons (pictorial representations of facial expressions using characters) with potential interviewees and completed ten interviews. Therefore, this paper offers a new qualitative interviewing method in feminist research.Design/methodology/approachThe paper briefly reviews the works of literature on interviewing women on sensitive topics and building rapport before the interview. Then, the author introduced using emoticons to create rapport during the data collection process and how a non-traditional approach positively impacts the interviewer and interviewee before, during and even after the interview.FindingsWomen participants' responses and behaviors differed after building a rapport through an online chat. They were willing to share their personal stories and memories with the interviewer even though the interviewer did not ask.Research limitations/implicationsThis study provides a stepping stone for developing an account of the new qualitative methodological approach, specifically feminist qualitative research.Originality/valueFew studies have described how qualitative researchers create a rapport in virtual space, specifically using emoticons. Also, this study suggests a new methodological approach since nonverbal communication in online chat is inevitable when interviewing people in qualitative research.
The dynamic trade-off theory of capital structure: evidence from a panel of US industrial companies
Authors: Esghaier Ridha 
Published: August 2023

Purpose
This paper aims to test the empirical validity of the dynamic trade-off theory in its symmetric and asymmetric versions in explaining the capital structure of a panel of publicly listed US industrial firms over the period from 2013 to 2019. It analyzes the existence of an adjustment of leverage toward its target level and whether the speed of this adjustment is influenced by the debt measure, the model specification or/and the fact that the actual debt ratio is higher or lower than its long-term target level.

Design/methodology/approach
This paper uses a quantitative research methodology using panel data analysis under the partial adjustment model and the error correction model using the generalized moment method in first differences and in systems to explore the dynamic nature of firms’ capital structure behavior.

Findings
The results show that the effects of the conventional determinants of leverage are globally consistent with the trade-off theory predictions. The dynamic versions confirm that firms exhibit leverage-targeting behavior. Although this speed of adjustment (SOA) depends on the debt and model specifications, it is around 60% on average. The estimated SOA is higher for the market leverage measure compared to the book leverage. The asymmetric adjustment model reveals that firms are more sensitive to reducing leverage than increasing it when they are away from their target; overleveraged firms exhibit approximately 5% faster adjustment than underleveraged firms when book leverage is used.

Originality/value
The originality of this research paper lies in its development and test of an asymmetric model to allow the leverage adjustment speed to vary depending on whether the firm’s debt ratio is above or below its target level and the methodological approach as well as the different model specifications used and the insights generated through the application of rigorous econometric techniques.
Rural development and digital technologies: a collaborative framework for policy-making
Authors: Monda Antonella , Feola Rosangela , Parente Roberto , Vesci Massimiliano , Botti Antonio 
Published: August 2023

Purpose
The paper aims to define a model for rural development, able to stimulate collaborations between actors involved in the agrifood chain and based on digital technologies as enabling factors for such collaborations.

Design/methodology/approach
An exploratory research, based on a qualitative approach, is conducted, using both constructivist grounded theory and Gioia methodology. Data were collected through semi-structured interviews and roundtables administered to Italian key players.

Findings
The authors identify five actions (definition of territorial identity, involvement of internal and external supply chain actors, definition of quality standards, cooperation intra and infra supply chains, communication through technology) for collaboration in the development of rural areas that policymakers should encourage and actors in the supply chains must implement. The paper also entails both theoretical and practical implications. From the theoretical point of view, this study contributes to the literature on the relationship between agrifood, local development and the role of technologies. From the managerial point of view, this paper provides insights for policymakers to define strategies and actions aimed at developing collaborations between actors involved in the agrifood chain and leveraging digital technologies to support rural development.

Originality/value
The paper proposes a framework for the collaboration of the actors of the agrifood sector and related food tourism that could be the basis for the development of a digital platform able to connect all the subjects involved in rural development.
Making Global Governance Accountable: Civil Society, States, and the Politics of Reform
Authors: Lall Ranjit 
Published: August 2023

AbstractRecent decades have witnessed the adoption of unprecedentedly broad and inclusive accountability mechanisms by many major international institutions, from grievance redress systems to transparency policies. What explains the establishment of these mechanisms—and why have only some institutions embraced them? I argue that adoption is more likely when member states, in particular the most powerful, face “bottom‐up” pressures for accountability from dense transnational civil society networks—networks with the capacity to build leverage through agenda setting, coalition building, and advocacy strategies—and when institutions perform governance tasks that are costly to monitor. Analysis of a rich new dataset shows that adoption is positively related to the density of international nongovernmental organizations in an institution's issue area—including only those based in powerful member countries—and that this relationship is stronger when governance tasks entail high monitoring costs. Statistical tests are complemented by qualitative evidence from interviews and other primary sources.
Intraoral digital implant scans: Parameters to improve accuracy
Authors: Revilla‐León Marta , Lanis Alejandro , Yilmaz Burak , Kois John C. , Gallucci German O. 
Published: August 2023

AbstractPurposeTo report the means to maximize the predictability and accuracy of intraoral digital implant scans through the evaluation of operator and patient‐related factors.Materials and MethodsA search of published articles related to factors that can decrease the scanning accuracy of intraoral digital implant scans was completed in four data sources:MEDLINE, EMBASE, EBSCO, and Web of Science. All studies related to variables that can influence the accuracy of intraoral digital implant scans obtained by using intraoral scanners (IOSs) were considered. These variables included ambient lighting, scanning pattern, implant scan body (ISB) design, techniques for splinting ISBs, arch location, implant position, and inter‐implant distance.ResultsAmong operator‐related factors, ambient lighting conditions, scanning pattern, and ISB design (material, geometry, and retention design) can impact the accuracy of intraoral digital implant scans. The optimal ISB for maximizing IOS accuracy is unclear; however, polymer ISB can wear with multiple reuse and sterilization methods. Among patient‐related factors, additional variables should be considered, namely arch (maxillary vs. mandibular arch), implant position in the arch, inter‐implant distance, implant depth, and angulation.ConclusionsAmbient lighting conditions should be established based on the IOS selected to optimize the accuracy of intraoral digital implant scans. The optimal scanning pattern may vary based on the IOS, clinical situation, and the number of implants. The optimal ISB design may vary depending on the IOS used. Metallic implant scan bodies are preferred over polymer ISB designs to minimize wear due to multiple use and sterilization distortion. Among patient‐related factors, additional variables should be considered namely the arch scanned, implant position in the arch, inter‐implant distance, implant depth, and angulation. The impact of these factors may vary depending on the IOS selected.
Synthesis of Monodisperse Silica Particles by Controlled Regrowth
Authors: Khlebtsov B. N. , Burov A. M. 
Published: August 2023

Abstract
The development of a simple and reproducible method for the synthesis of monodisperse silica particles is of considerable interest from the point of view of their numerous applications in photonics, biosensing, and biomedicine. When using the well-known Stober method, there is a continuous formation and growth of seeds, which leads to the synthesis of polydisperse colloids. In this work, we used the method of successive growth of silica particles obtained by hydrolytic condensation of tetraethylorthosilicate in an alcoholic-aqueous medium using an alkaline catalyst. It is shown that this technique makes it possible to obtain colloids with a particle size from 50 nm to 3 μm and a standard deviation of less than 5%. An additional advantage of the developed method of stepwise growth is the possibility to include fluorophores and SERS tags into the silica matrix.
Closure of a distal splenorenal shunt as a therapy for refractory hyperammonaemia in setting of neuropsychiatric symptoms
Authors: Miller Alexander , Bernshteyn Michelle , Achakzai Basit , Macfie Rebekah 
Published: August 2023

Before the widespread use of the transjugular intrahepatic portosystemic shunt, portal hypertension was addressed by the creation of an operative distal splenorenal shunt (DSRS). DSRS was largely regarded as a safe and effective therapy, though it did have a risk of precipitating hyperammonaemia and hepatic encephalopathy.A woman suffered a gunshot wound to the abdomen. This trauma led to portal vein thrombosis, cavernous transformation of the vein and eventually bleeding oesophageal varices from portal hypertension. A DSRS was created to decrease portal hypertension. Years later, she had profound depression with psychomotor slowing in the setting of hyperammonaemia. To reduce hepatic encephalopathy as a contributor to her neuropsychiatric condition, her shunt was closed. The hyperammonaemia resolved and neuropsychiatric symptoms improved.This case highlights several interesting clinical features, including portal hypertension due to chronic portal vein occlusion, cavernous transformation, a surgical DSRS causing hyperammonaemia and hepatic encephalopathy manifesting as neuropsychiatric symptoms.
From Postal Scale to Psychological Apparatus
Authors: Cristalli Claudia , Jackson Rebecca L. 
Published: August 2023

Abstract
This paper describes our reconstruction of the apparatus used in C.S. Peirce and Joseph Jastrow’s 1885 psychophysical experiment, “On Small Differences of Sensation” and how it relates to persistent questions in scientific theories of measurement. We situate Peirce and Jastrow’s work in the broader context of nineteenth-century discussions about the status of psychology as a science and emphasize the role of measurement and experiment in determining that status. Through our re-enactment of the experiment, we analyze the experiment’s methodology, which features blinding, randomization, noise control, and a technology for data recording. Our claims are illustrated by images of historical and reconstructed apparatuses, as well as graphs of the data collected in our reproduction. Our findings exemplify the relevance of history of psychology for contemporary philosophy of science and theories of measurement, and defend experimental reconstructions as a particularly fertile method of inquiry in the history of psychophysical sciences.
An annotated checklist of earwigs (Dermaptera) of South India with two new records from India
Authors: KARTHIK C. M. , KALLESHWARASWAMY C. M. 
Published: August 2023

The checklist of earwigs occurring in South India, viz., Andhra Pradesh, Karnataka, Kerala, Tamil Nadu and Telangana, was compiled from published literature and augmented by collecting efforts between 2020 and 2022. A total of 102 species belonging to 45 genera and eight families are listed herein from South India. Specimens representing 29 species were collected from the South Indian states during 2020–2022 surveys, of which Dendroiketes corticinus and Chaetospania anderssoni represent two new records for India. The highest number of species was recorded from Tamil Nadu (79 species), followed by Karnataka (39 species) and Kerala (26 species), while the least number were from Telangana (6) and Andhra Pradesh (4 species). The records indicated that the South Indian states, which cover a significant portion of the Western Ghats of India (Karnataka, Kerala and Tamil Nadu), are more diverse than previously indicated.
Aging and the media in Spain: Reinforcement of ageism in times of COVID-19
Authors: Sánchez-Izquierdo Macarena , Cables-Chozas Lua , Villanueva-Pellitero Cristina , Fernández-Ballesteros Rocío 
Published: August 2023

The COVID-19 pandemic has made older adults one of the main foci of media. This article explores age-related language through a comparative analysis of headlines in the five highest-circulation Spanish newspapers during the first and second waves of the 2020 pandemic and the 2 years before the pandemic. The results show a decrease in the frequency of headlines that represent older people as subjects of an action associated to positive affection, as well as an increase in representation of older adults as a homogenous group in a negative way, and an increase in ageist terms, especially “elders.” We discuss to what extent the COVID-19 pandemic can reinforce ageism and the possible repercussions.
Adsorptive removal of stable and radioactive Pb(II) isotopes from aqueous solution using bentonite, zeolite and perlite: characterization, isotherm and thermodynamic studies
Authors: Uygun Osman , Güven Rufiyet , Çakal Gaye Ö. 
Published: August 2023

AbstractIn this study, stable and radioactive lead removal from aqueous solution by adsorption using bentonite, zeolite and perlite minerals obtained from various locations in Türkiye was studied in batch experiments. The adsorbents were first characterized using X-ray diffraction (XRD), X-ray fluorescence (XRF), Fourier-transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS), and then the physicochemical properties were determined. The effects of various factors that influence adsorption, such as solution pH, adsorbent dosage, contact time, initial Pb2+ ion concentration, temperature and shaking rate, were studied. The adsorption of Pb2+ was modelled using the Langmuir, Freundlich and Dubinin–Radushkevich isotherms. The adsorption capacities of the minerals for Pb2+ followed the order: bentonite > zeolite > perlite, and the maximum adsorption capacities were 131.6, 36.1 and 21.5 mg g–1, respectively. The adsorption data fit well with the Langmuir isotherm. The bonding of lead ions on the adsorbents was confirmed by XRF and FTIR analyses after the adsorption process. The adsorption of Pb2+ ions on the adsorbents was spontaneous and endothermic. The adsorption process took place by cation exchange in addition to electrostatic interaction. Furthermore, radioactive 210Pb2+ adsorption on bentonite, zeolite and perlite was studied, with the analyte being analysed using a liquid scintillation counter. It was seen that in addition to Pb(II) ions, these minerals also adsorbed the radioactive decay products of 210Pb, which were 210Po and 210Bi. The removal percentages of 210Pb were 95%, 38% and 30% and those of 210Po were 75%, 60% and 74% for bentonite, zeolite and perlite, respectively.
BaPreS: a software tool for predicting bacteriocins using an optimal set of features
Authors: Akhter Suraiya , Miller John H. 
Published: August 2023

AbstractBackgroundAntibiotic resistance is a major public health concern around the globe. As a result, researchers always look for new compounds to develop new antibiotic drugs for combating antibiotic-resistant bacteria. Bacteriocin becomes a promising antimicrobial agent to fight against antibiotic resistance, due to cases of both broad and narrow killing spectra. Sequence matching methods are widely used to identify bacteriocins by comparing them with the known bacteriocin sequences; however, these methods often fail to detect new bacteriocin sequences due to their high diversity. The ability to use a machine learning approach can help find new highly dissimilar bacteriocins for developing highly effective antibiotic drugs. The aim of this work is to develop a machine learning-based software tool called BaPreS (Bacteriocin Prediction Software) using an optimal set of features for detecting bacteriocin protein sequences with high accuracy. We extracted potential features from known bacteriocin and non-bacteriocin sequences by considering the physicochemical and structural properties of the protein sequences. Then we reduced the feature set using statistical justifications and recursive feature elimination technique. Finally, we built support vector machine (SVM) and random forest (RF) models using the selected features and utilized the best machine learning model to implement the software tool.ResultsWe applied BaPreS to an established dataset and evaluated its prediction performance. Acquired results show that the software tool can achieve a prediction accuracy of 95.54% for testing protein sequences. This tool allows users to add new bacteriocin or non-bacteriocin sequences in the training dataset to further enhance the predictive power of the tool. We compared the prediction performance of the BaPreS with a popular sequence matching-based tool and a deep learning-based method, and our software tool outperformed both.ConclusionsBaPreS is a bacteriocin prediction tool that can be used to discover new highly dissimilar bacteriocins for developing highly effective antibiotic drugs. This software tool can be used with Windows, Linux and macOS operating systems. The open-source software package and its user manual are available athttps://github.com/suraiya14/BaPreS.
Molecular regulatory mechanism of key LncRNAs in subclinical mastitic cows with folic acid supplementation
Authors: Liu Xueqin , Mi Siyuan , Li Wenlong , Zhang Jinning , Augustino Serafino M. A. , Zhang Zhichao , Zhang Ruiqiang , Xiao Wei , Yu Ying 
Published: August 2023

Abstract
Background
Folic acid is a water-soluble B vitamin (B9), which is closely related to the body’s immune and other metabolic pathways. The folic acid synthesized by rumen microbes has been unable to meet the needs of high-yielding dairy cows. The incidence rate of subclinical mastitis in dairy herds worldwide ranged between 25%~65% with no obvious symptoms, but it significantly causes a decrease in lactation and milk quality. Therefore, this study aims at exploring the effects of folic acid supplementation on the expression profile of lncRNAs, exploring the molecular mechanism by which lncRNAs regulate immunity in subclinical mastitic dairy cows.

Results
The analysis identified a total of 4384 lncRNA transcripts. Subsequently, differentially expressed lncRNAs in the comparison of two groups (SF vs. SC, HF vs. HC) were identified to be 84 and 55 respectively. Furthermore, the weighted gene co-expression network analysis (WGCNA) and the KEGG enrichment analysis result showed that folic acid supplementation affects inflammation and immune response-related pathways. The two groups have few pathways in common. One important lncRNA MSTRG.11108.1 and its target genes (ICAM1, CCL3, CCL4, etc.) were involved in immune-related pathways. Finally, through integrated analysis of lncRNAs with GWAS data and animal QTL database, we found that differential lncRNA and its target genes could be significantly enriched in SNPs and QTLs related to somatic cell count (SCC) and mastitis, such as MSTRG.11108.1 and its target gene ICAM1, CXCL3, GRO1.

Conclusions
For subclinical mastitic cows, folic acid supplementation can significantly affect the expression of immune-related pathway genes such as ICAM1 by regulating lncRNAs MSTRG.11108.1, thereby affecting related immune phenotypes. Our findings laid a ground foundation for theoretical and practical application for feeding folic acid supplementation in subclinical mastitic cows.