bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generalizing deep variant callers via domain adaptation and semi-supervised learning
Authors: Jung Youngmok , Park Jinwoo , Lim Hwijoon , Lee Jeong Seok , Ju Young Seok , Han Dongsu 
Published: August 2023

AbstractDeep learning-based variant callers (DVCs) offer state-of-the-art perfor-mance in small variant detection from DNA sequencing data. However, their reliance on supervised learning and the subsequent need for exten-sive labeled data pose a potential hurdle to their generalizability across diverse sequencing methods with varying error profiles. Indeed, even minor discrepancies in error profiles can compromise the robustness of DVCs and impair the variant calling accuracy in the target sequencing method. To mitigate these challenges, we propose RUN-DVC, the first semi-supervised training approach for DVCs that presents two complemen-tary training techniques to the conventional supervised training approach. RUN-DVC leverages semi-supervised learning techniques to learn error profiles from unlabeled datasets of the target sequencing method as well as a domain adaptation technique to aid semi-supervised learning by reducing the domain discrepancy due to different error profiles. We ana-lyze and contrast RUN-DVC against the supervised training approach under various generalization scenarios using nine sequencing methods from Illumina, BGI, PacBio, and Oxford Nanopore sequencing platforms. Remarkably, RUN-DVC significantly improves the variant calling accu-racy of DVC in the target sequencing method even with purely unlabeled datasets in the target domain and enables label-efficient generalization when partially labeled datasets are available. Our results suggest RUN-DVC is a promising semi-supervised training method for DVCs with the potential to broaden the use of DVC across diverse sequencing methods.
Hedgehog signaling is required for the maintenance of mesenchymal nephron progenitors
Authors: Chung Eunah , Deacon Patrick , Hu Yueh-Chiang , Lim Hee-Woong , Park Joo-Seop 
Published: August 2023

ABSTRACTMesenchymal nephron progenitors (mNPs) give rise to all nephron tubules in the mammalian kidney. Since premature depletion of these cells leads to low nephron numbers, high blood pressure, and various renal diseases, it is critical that we understand how mNPs are maintained. While Fgf, Bmp, and Wnt signaling pathways are known to be required for the maintenance of these cells, it is unclear if any other signaling pathways also play roles. In this report, we explored the role of Hedgehog signaling in mNPs. We found that loss of either Shh in the collecting duct or Smo from the nephron lineage resulted in premature depletion of mNPs. Transcriptional profiling of mNPs with different Smo dosages suggested that Hedgehog signaling inhibited Notch signaling and upregulated the expression of Fox transcription factors such asFoxc1andFoxp4. Consistent with these observations, we found that ectopic expression ofJag1caused the premature depletion of mNPs as seen in theSmomutant kidney. We also found that Foxc1 was capable of binding to mitotic condensed chromatin, a feature of a mitotic bookmarking factor. Our study demonstrates a previously unappreciated role of Hedgehog signaling in preventing premature depletion of mNPs by repressing Notch signaling and likely by activating the expression of Fox factors.TRANSLATIONAL STATEMENTPremature depletion of nephron progenitors results in low nephron endowment, leading to high blood pressure and various renal diseases. Sound understanding of the molecular mechanisms underlying the maintenance of nephron progenitors is required for intervention. Although defective Hedgehog signaling is known to cause Pallister-Hall syndrome, its activity in nephron progenitors has been elusive. Here we report that Hedgehog signaling plays an important role in maintaining nephron progenitors. Our findings suggest that Hedgehog signaling pathway is a potential target for enhancing nephron endowment.
Data-driven trait heritability-based extraction of human facial phenotypes
Authors: Yuan Meng , Goovaerts Seppe , Hoskens Hanne , Richmond Stephen , Walsh Susan , Shriver Mark D. , Shaffer John R. , Marazita Mary L. , Weinberg Seth M. , Peeters Hilde , Claes Peter 
Published: August 2023

AbstractA genome-wide association study (GWAS) of a complex, multi-dimensional morphological trait, such as the human face, typically relies on predefined and simplified phenotypic measurements, such as inter-landmark distances and angles. These measures are predominantly designed by human experts based on perceived biological or clinical knowledge. To avoid use handcrafted phenotypes (i.e., a priori expert-identified phenotypes), alternative automatically extracted phenotypic descriptors, such as features derived from dimension reduction techniques (e.g., principal component analysis), are employed. While the features generated by such computational algorithms capture the geometric variations of the biological shape, they are not necessarily genetically relevant. Therefore, genetically informed data-driven phenotyping is desirable. Here, we propose an approach where phenotyping is done through a data-driven optimization of trait heritability, defined as the degree of variation in a phenotypic trait in a population that is due to genetic variation. The resulting phenotyping process consists of two steps: 1) constructing a feature space that models shape variations using dimension reduction techniques, and 2) searching for directions in the feature space exhibiting high trait heritability using a genetic search algorithm (i.e., heuristic inspired by natural selection). We show that the phenotypes resulting from the proposed trait heritability-optimized training differ from those of principal components in the following aspects: 1) higher trait heritability, 2) higher SNP heritability, and 3) identification of the same number of independent genetic loci with a smaller number of effective traits. Our results demonstrate that data-driven trait heritability-based optimization enables the automatic extraction of genetically relevant phenotypes, as shown by their increased power in genome-wide association scans.
Drivers of experiential loyalty intentions towards online travel agents: a comparative analysis on pre- and post-COVID travellers
Authors: Jasrotia Sahil Singh , Mulchandani Kalyani , Srivastava Shalini 
Published: August 2023

Purpose
COVID-19 pandemic led to changes in the mental processes of tourists towards online travel agents. Therefore, the study aims to determine the factors affecting experiential loyalty intention of travellers during pre- and post-COVID times.

Design/methodology/approach
Empirical data analysis using structural equation modelling was performed in the study.

Findings
Results indicate that there is a change in the mental process of tourists. Travel companies need to understand that post-COVID, travel has transformed into a completely new world and it is essential to change behaviour accordingly. Traveller’s satisfaction would still be the key to driving loyalty of travellers towards a company.

Research limitations/implications
The study implies that managers must put more effort into creating confidence among travellers because many people are still scared to travel due to the prevalence of the COVID-19 virus. Motivation to travel has declined significantly, which can only be regenerated if managers develop great strategies to drive demand from people.

Originality/value
This study will help in filling the gap that exists in extant literature of tourism by developing a robust model for analysing the factors enhancing experiential loyalty intention of travellers towards online travel agents in the pre- and post-COVID scenarios.
Developing an original Café Delphi historical method to research women's individual and collective experiences of sex, sexuality and sexism in PR in the 1990s
Authors: Bowman Sarah , Yaxley Heather 
Published: August 2023

PurposeThis paper aims to develop an original Café Delphi historical method to research women's individual and collective experiences of sex, sexuality and sexism in public relations (PR) in 1990s’ Britain.Design/methodology/approachAn original Café Delphi historical method is shaped by an interpretive paradigm providing a conceptual framework to model sex, sexuality and sexism. This approaches history as a social science drawing on hermeneutic phenomenology, reflexivity and ethics of care. A case study, employing oral history and participatory action research (PAR), is used to develop and test the practicality of the original Café Delphi historical method to research women's individual and collective experiences of PR in 1990s’ Britain.FindingsThree main findings are identified. (1) Developing a new method is complex, time-consuming and surfaces practical problems; however, the Café Delphi historical method is a viable way to explore individual and collective experiences. (2) Undertaking methodological innovation and innovating research methods involves action learning and requires agility, reflexivity and ability to navigate messiness and order. (3) Testing the multiphase mixed method study revealed its power and potential as an ethical and collaborative co-research approach.Originality/valueThis study expands the repertoire of research methods in PR historiography and provides a new approach to capture collective as well as individual experiences. This study develops a feminine analytic tool employing metamodern oscillation to connect past, present and future.
Fostering effective and wholesome learning experiences: educators’ reflections during the late career stage
Authors: Schraeder Mike , Coco Charles 
Published: August 2023

Purpose
The article discusses salient factors related to fostering effective and wholesome learning experiences. These factors, based on the reflective insights of the authors, are discussed with the intent of encouraging further discussion and exploration that may contribute to even more effective and more wholesome learning experiences. In addition, these insights are shared with the intent of assisting new or emerging educators/trainers in facilitating effective and wholesome learning experiences.

Design/methodology/approach
The tone of the article is reflective in nature, summarizing key insights of the authors gleaned from over 40 collective years in higher education, as well as two decades of work-related experience in the corporate world.

Findings
The insights and reflections during the later stage of the authors’ careers in higher education led to the identification of five major themes or factors related to facilitating effective and wholesome learning experiences. These include: 1. Relevant and Applicable; 2. Engagement, Interaction, and Critical Thinking; 3. Organization and Clarity; 4. Fostering Trust Through Communication, Responsiveness, and Feedback; 5. Flexibility and Augmentation

Originality/value
While many of the factors highlighted in the article align with related literature, the reflective insights of the authors contribute to a more nuanced discussion of several factors. The nuanced nature of the discussion is influenced by the collective experiences of the authors from over 40 years of collective experience in higher education, combined with 20 years of collective experience in the corporate world.
Adoption of machine learning systems within the health sector: a systematic review, synthesis and research agenda
Authors: Bundi Doreen Nkirote 
Published: August 2023

PurposeThe purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.Design/methodology/approachA systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.FindingsThe outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.Research limitations/implicationsThe search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.Originality/valueThis review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.
The quasi-frame of the rational and polynomial Bezier curve by algorithm method in Euclidean space
Authors: Kuşak Samancı Hatice 
Published: August 2023

PurposeFrames play an important role in determining the geometric properties of the curves such as curvature and torsion. In particular, the determination of the point types of the curve, convexity or concavity is also possible with the frames. The Serret-Frenet frames are generally used in curve theory. However, the Serret-Frenet frame does not work when the second derivative is zero. In order to eliminate this problem, the quasi-frame was obtained. In this study, the quasi frames of the polynomial and rational Bezier curves are calculated by an algorithmic method. Thus, it will be possible to construct the frame even at singular points due to the second derivative of the curve. In this respect, the contribution of this study to computer-aided geometric design studies is quite high.Design/methodology/approachIn this study, the quasi frame which is an alternative for all intermediate points of the rational Bezier curves was generated by the algorithm method, and some variants of this frame were analyzed. Even at the points where the second derivative of such rational Bezier curves is zero, there is a curve frame.FindingsSeveral examples presented at the end of the paper regarding the quasi-frame of the rational Bezier curve, polynomial Bezier curve, linear, quadratic and cubic Bezier curves emphasize the efficacy and preciseness.Originality/valueThe quasi-frame of a rational Bezier curve is first computed. Owing to the quasi frame, it will have been found a solution for the nonsense rotation of the curve around the tangent.
Identifying measures to prevent the spread of COVID-19 in outpatient clinics
Authors: Prugsiganont Supuck , Waroonkun Tanut 
Published: August 2023

Purpose
This study aims to investigate the physical environmental problems of two Thai community hospitals’ outpatient departments (OPDs) during the COVID-19 outbreak and to provide design guidelines for respiratory disease prevention.

Design/methodology/approach
A three-step method was used. The first step involved walk-through observations at Mae Wang Hospital and Doi Saket Hospital to assess the physical environment. The second step consisted of interviews with 22 medical staff working in the two hospitals. Third, the observation and interview data were used to develop a preliminary design guideline, which was evaluated by two focus groups comprising the same interview participants.

Findings
The observational findings showed that the two hospitals had difficulties following the COVID-19 prevention protocol due to physical environmental problems. Four different themes emerged from the analysis of the medical staff interviews. The preliminary design guidelines that were evaluated through two focus group discussions resulted in design recommendations for four areas (the overall building, clinical, support and staff areas) in the Mae Wang and Doi Saket OPD buildings. Three topics of design recommendations were provided to reduce the spread of COVID-19: improving hospital management, space design and air quality.

Originality/value
To the best of the authors’ knowledge, this study is the first to provide design guidelines for COVID-19 and respiratory disease prevention in Thai community hospital OPD buildings.
Assessment of barriers to the implementation of blockchain technology in construction supply chain management in Nigeria
Authors: Okanlawon Taofeek Tunde , Oyewobi Luqman Oyekunle , Jimoh Richard Ajayi 
Published: August 2023

PurposeThe purpose of this study is to assess the barriers to the implementation of blockchain technology in construction supply chain management in Nigeria.Design/methodology/approachThis study employed a quantitative research approach through a questionnaire survey that was conducted among professionals in the Nigerian construction industry using the snowball sampling method, which resulted in a selection of 155 respondents. The collected data were analysed using descriptive and exploratory factor analysis (EFA), while Cronbach's alpha was used to assess the reliability.FindingsThe analysis revealed that all barriers ranked above the average mean item score. It also revealed that all professionals have a convergent opinion on the barriers. EFA was used in clustering the identified barriers into two categories: technological and socio-political barrier.Research limitations/implicationsThis research was carried out in the Southwestern region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method.Practical implicationsThe findings provide valuable insights into the barriers to the implementation of blockchain in supply chain management for professionals and practitioners in the Nigerian construction industry.Originality/valueThe research categorised the barriers into technological and social-political barrier and identified that lack of digitalisation is the major barrier to the implementation of blockchain technology in construction supply chain.
Maximizing business performance through entrepreneurial orientation: a multilevel analysis
Authors: Bedi Harpreet Singh , Vij Sandeep , Farooq Rayees 
Published: August 2023

Purpose
This study aims to analyze the effect of organizational context on Entrepreneurial Orientation–Business Performance (EO–BP) relationship by drawing a sample from India.

Design/methodology/approach
This firm-level study uses a cross-sectional research design. A personal survey of key informants, one each from 500 North Indian firms, has been conducted. The hypotheses were analyzed using confirmatory factor analysis (CFA), structural equation modeling and multi-group moderation analysis.

Findings
This study reveals the relevance of organizational context in strategic decision-making. This study finds that the firm’s size and nature of industry influence the inclination of an enterprise toward innovativeness and proactiveness. The results indicate that both, new entrants and older firms, can adopt entrepreneurial posture.

Originality/value
This study attempts to provide a unique perspective of entrepreneurship research by assessing the effect of organizational context on the EO–BP relationship in the Indian context. This study applies five-dimensional conceptualization of EO to EO–BP relationship and attempts to contribute to the literature by refining the inventory of five-dimensional conceptualization of EO construct. The CFA model of multifaceted subjective measurement of BP construct lends support to the integrated approach of BP measurement.
How can companies boost legitimacy in international markets? A dynamic marketing capabilities approach
Authors: Rivero-Gutierrez Lourdes , Cabanelas Pablo , Diez-Martin Francisco , Blanco-Gonzalez Alicia 
Published: August 2023

PurposeForeign markets possess different characteristics to domestic ones; this means that dynamic marketing capabilities (DMCs) should be adjusted. This paper aims to understand how these DMCs enable firms to achieve greater legitimacy in international markets.Design/methodology/approachThis research uses a qualitative approach based on in-depth interviews in collaboration with an association of exporting firms.FindingsFindings suggest five areas of DMCs to improve organizational legitimacy overseas: flexibility, relationship management, local market sensitivity, anticipation and exemplariness. Those capabilities should be combined and will play a different role depending on the implementation phase of the external company. Resource allocation and capability development should follow an integrative approach emphasizing proximity, adaptability, alliances, engagement and credibility to reach differentiation in foreign markets.Originality/valueThe originality is mainly focused on the cohabitation and strong synergies between DMCs and legitimacy. This aspect is particularly relevant because legitimized companies have higher levels of survival, which is fundamental in the international venture.
Measuring marketing performance: a better model
Authors: Pimenta da Gama António 
Published: August 2023

Purpose
Marketing professionals are under pressure to implement methods and metrics that demonstrate the value of the function. This paper aims to propose a model to measure marketing performance, focusing on four categories of metrics and two types of factors that influence the effectiveness of the assessment process.

Design/methodology/approach
The paper is organized in three parts. The first part includes a synthesis of the theoretical background on the subject. Next, the rationale and architecture of the model are presented, together with an explanation of the elements that compose it. A reflection on the work developed is presented in the last section.

Findings
Benefits regarding how to best assess marketing practice are considerable, as organizations with effective performance measurement systems tend to show better results than others. In this context, the choice of metrics is important, but it is also necessary to understand the mechanisms through which the effectiveness of the measurement process can be improved.

Originality/value
Literature has mainly focused attention on the effect of individual programs on specific measures or on conceptual models that do not sufficiently address all major elements in the marketing assessment process. This work extends previous contributions on the subject, presenting a model that combines metrics with factors underlying the measurement process.
Tapping the potential of rapid prototyping techniques in creating a paradigm shift in the fabrication of occlusal splints
Authors: Kaushik Ashish , Garg Ramesh Kumar 
Published: August 2023

Purpose
This study aims to cover the overall gamut of rapid prototyping processes and biomaterials used for the fabrication of occlusal splints in a comprehensive manner and elucidate the characteristics of the materials, which are essential in determining their clinical efficacy when exposed to oral surroundings.

Design/methodology/approach
A collective analysis of published articles covering the use of rapid prototyping technologies in the fabrication of occlusal splints, including manufacturing workflow description and essential properties (mechanical- and thermal-based) evaluation of biocompatible splinting materials, was performed.

Findings
Without advances in rapid prototyping processes and materials engineering, occlusal splints would tend to underperform clinically due to biomechanical limitations.

Social implications
Three-dimensional printing can improve the process capabilities for commercial customization of biomechanically efficient occlusal splints.

Originality/value
Rapid technological advancement in dentistry with the extensive utilization of rapid prototyping processes, intra-oral scanners and novel biomaterial seems to be the potential breakthrough in the fabrication of customized occlusal splints which have endorsed occlusal splint therapy (OST) as a cornerstone of orthodontic treatment.