bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of gestational diabetes mellitus using early oral glucose tolerance test
Authors: Kandauda C. , Manathunga S.S , Abeyagunawardena I.A , Thilakarathne K.M.H.C 
Published: March 2022

AbstractIntroductionGestational Diabetes Mellitus (GDM) is defined as diabetes first detected at the second or third trimester of pregnancy, excluding preexisting diabetes. We aimed to build a predictive model of GDM using booking oral glucose tolerance test (OGTT) values.Materials and MethodsSeventy-five healthy mothers who underwent 75g OGTT at 12-14 weeks and at 24-28 weeks were recruited. GDM was diagnosed at 28 weeks by cutoffs proposed by the Hyperglycemia and Adverse Pregnancy Outcomes study.Sensitivities and specificities for diagnosing GDM using different cut-offs for each of the three booking OGTT variables were measured. A series of multivariate binary logistic regression models were fitted using different combinations of the three booking OGTT variables. In-sample sensitivities and specificities for different cutoff probabilities of the models were calculated and Receiver Operating Characteristic (ROC) curves were constructed. The Area Under the Curve (AUC) of the ROC curve and the best cutoff value which maximized the sum of sensitivity and specificity of each model were computed.ResultsAUC of ROC curves for isolated fasting, 1 hour and 2 hour booking OGTT values for the prediction of GDM were 69.8%, 67.1% and 61.0% respectively. However, the logistic regression model with fasting and 1 hour booking OGTT values as predictors out-performed all other models with an AUC of 76.3%, in-sample sensitivity of 87.5% and a negative predictive value of 95.12%.ConclusionsThe future occurrence of GDM can be predicted utilizing a logistic model with fasting and 1 hour booking OGTT variables, which enables early identification and intervention.
A high-throughput 384-well CometChip platform reveals a role for 3-methyladenine in the cellular response to etoposide-induced DNA damage
Authors: Li Jianfeng , Beiser Alison , Dey Nupur B. , Takeda Shunichi , Saha Liton Kumar , Hirota Kouji , Parker L. Lynette , Carter Mariah , Arrieta Martha I. , Sobol Robert W. 
Published: March 2022

ABSTRACTThe Comet or single-cell gel electrophoresis assay is the gold standard for analysis of cellular, nuclear genome damage. However, low throughput limits its application for large-scale studies. To overcome these limitations, a 96-well CometChip platform was recently developed that increases throughput and reduces variation due to simultaneous processing and automated analysis of 96 samples. To advance throughput further, we developed a 384-well CometChip platform that allows analysis of ∼100 cells per well. The 384-well CometChip extends the capacity by 4-fold as compared to the 96-well system, enhancing application for larger DNA damage analysis studies. The overall sensitivity of the 384-well CometChip is consistent with that of the 96-well system, sensitive to genotoxin exposure and to loss of DNA repair capacity. We then applied the 384-well platform to screen a library of protein kinase inhibitors to probe each as enhancers of etoposide induced DNA damage and found that 3-methyladenine significantly increased levels of etoposide-induced DNA damage. Our results suggest that a 384-well CometChip is useful for large-scale DNA damage analyses, which may have increased potential in the evaluation of chemotherapy efficacy, compound library screens, population-based analyses of genome damage and evaluating the impact of environmental genotoxins on genome integrity.
Establishing combination PAC-1 and TRAIL regimens for treating ovarian cancer based on patient-specific pharmacokinetic profiles using in silico clinical trials
Authors: Cardinal Olivia , Burlot Chloé , Fu Yangxin , Crosley Powel , Hitt Mary , Craig Morgan , Jenner Adrianne L. 
Published: March 2022

AbstractOvarian cancer is commonly diagnosed in its late stages, and new treatment modalities are needed to improve patient outcomes and survival. We have recently established the synergistic effects of combination tumour necrosis factor-related apoptosis-inducing ligand (TRAIL) and procaspase activating compound (PAC-1) therapies in granulosa cell tumours (GCT) of the ovary, a rare form of ovarian cancer, using a mathematical model of the effects of both drugs in a GCT cell line. Here, to understand the mechanisms of combined TRAIL and PAC-1 therapy, study the viability of this treatment strategy, and accelerate preclinical translation, we leveraged our mathematical model in combination with population pharmacokinetics (PopPK) models of both TRAIL and PAC-1 to expand a realistic heterogeneous cohort of virtual patients and optimize treatment schedules. Using this approach, we investigated treatment responses in this virtual cohort and determined optimal therapeutic schedules based on patient-specific pharmacokinetic characteristics. Our results showed that schedules with high initial doses of PAC-1 were required for therapeutic efficacy. Further analysis of individualized regimens revealed two distinct groups of virtual patients within our cohort: one with high PAC-1 elimination, and one with normal PAC-1 elimination. In the high elimination group, high weekly doses of both PAC-1 and TRAIL were necessary for therapeutic efficacy, however virtual patients in this group were predicted to have a worse prognosis when compared to those in the normal elimination group. Thus, PAC-1 pharmacokinetic characteristics, particularly clearance, can be used to identify patients most likely to respond to combined PAC-1 and TRAIL therapy. This work underlines the importance of quantitative approaches in preclinical oncology.
WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulation
Authors: Cai Wesley L , Chen Jocelyn F , Chen Huacui , Wingrove Emily , Kurley Sarah J , Chan Lok Hei , Zhang Meiling , Arnal-Estapé Anna , Zhao Minghui , Balabaki Amer , Li Wenxue , Yu Xufen , Dou Yali , Liu Yansheng , Jin Jian , Westbrook Thomas F , Nguyen Don , Yan Qin 
Published: March 2022

AbstractMetastatic breast cancer remains a major cause of cancer related deaths in women and there are few effective therapies against this advanced disease. Emerging evidence suggests that key steps of tumor progression and metastasis are controlled by reversible epigenetic mechanisms. Using an in vivo genetic screen, we identified WDR5 as an actionable epigenetic regulator that is required for metastatic progression in models of triple-negative breast cancer. We found that knockdown of WDR5 in breast cancer cells independently impaired their tumorigenic as well as metastatic capabilities. Mechanistically, WDR5 promotes cell growth by increasing ribosomal gene expression and translation efficiency in a KMT2-independent manner. Consistently, pharmacological inhibition or degradation of WDR5 impedes cellular translation rate and the clonogenic ability of breast cancer cells. Furthermore, combination of WDR5-targeting with mTOR inhibitors leads to potent suppression of translation and proliferation of breast cancer cells. These results reveal novel therapeutic strategies to treat metastatic breast cancer.
SARS-CoV-2 accessory protein ORF8 decreases antibody-dependent cellular cytotoxicity
Authors: Beaudoin-Bussières Guillaume , Arduini Ariana , Bourassa Catherine , Medjahed Halima , Gendron-Lepage Gabrielle , Richard Jonathan , Pan Qinghua , Wang Zhen , Liang Chen , Finzi Andrés 
Published: March 2022

AbstractSARS-CoV-2 Spike glycoprotein is the major target of host neutralizing antibodies and the most changing viral protein in the continuously emerging SARS-CoV-2 variants as a result of frequent viral evasion from host antibody responses. In addition, SARS-CoV-2 encodes multiple accessory proteins that modulate host antiviral immunity by different mechanisms. Among all SARS-CoV-2 accessory proteins, ORF8 is rapidly evolving and a deletion in this protein has been linked to milder disease. Here, we studied the effect of ORF8 on peripheral blood mononuclear cells (PBMC). Specifically, we found that ORF8 can bind monocytes as well as NK cells. Strikingly, ORF8 binds CD16a (FcγRIIIA) with nanomolar affinity and decreases the overall level of CD16 at the surface of monocytes and, to a lesser extent, NK cells. Strikingly, this decrease significantly reduces the capacity of PBMCs and particularly monocytes to mediate antibody-dependent cellular cytotoxicity (ADCC). Overall, our data identifies a new immune-evasion activity used by SARS-CoV-2 to escape humoral responses.
Controlling taxa abundance improves metatranscriptomics differential analysis
Authors: Ji Zhicheng , Ma Li 
Published: March 2022

ABSTRACTA common task in analyzing metatranscriptomics data is to identify microbial metabolic pathways with differential RNA abundances across multiple sample groups. With information from paired metagenomics data, current differential methods control for either DNA or taxa abundances to address their strong correlation with RNA abundance. We discovered that when either DNA or taxa abundance is controlled for, RNA abundance still has a strong partial correlation with the other factor. Thus, both factors need to be controlled for in the differential model. In both simulation studies and a real data analysis, we demonstrated that controlling for both DNA and taxa abundances leads to superior performance compared to only controlling for one factor.
Longer metaphase and fewer chromosome segregation errors in modern human than Neandertal brain development
Authors: Mora-Bermúdez Felipe , Kanis Philipp , Macak Dominik , Peters Jula , Naumann Ronald , Sarov Mikhail , Winkler Sylke , Oegema Christina Eugster , Haffner Christiane , Xing Lei , Wimberger Pauline , Riesenberg Stephan , Maricic Tomislav , Huttner Wieland B. , Pääbo Svante 
Published: March 2022

AbstractSince the ancestors of modern humans separated from those of Neandertals, around one hundred amino acid substitutions spread to essentially all modern humans. The biological significance of these changes is largely unknown. Here, we examine all six such amino acid substitutions in the three proteins known to have key roles in kinetochore function and chromosome segregation and to be highly expressed in the stem cells of the developing neocortex. When we introduce these modern human-specific substitutions in the mouse, three substitutions in two of these proteins, KIF18a and KNL1, cause a prolongation of metaphase and a reduction in chromosome segregation errors in apical progenitors of the developing neocortex. Conversely, the ancestral substitutions cause a reduction in metaphase length and an increase in chromosome segregation errors in human brain organoids. Our data also show that, in these aspects, Neandertals were more similar to chimpanzees than to modern humans. Thus, the fidelity of chromosome segregation during neocortex development improved in modern humans after their divergence from Neandertals.
Total quality leadership and organizational innovativeness: the role of social capital development in American schools
Authors: Birasnav M. , Gantasala Swapna Bhargavi , Gantasala Venugopal Prabhakar , Singh Abhishek 
Published: March 2022

PurposeThe purpose of this study is to explore the relationship between total quality leadership, social capital development and organizational innovativeness in the school environment. While there are research studies focused on the impact of leadership on implementing quality management practices, innovation and organizational performance, the mediating effect of social capital development has not been explored on the influence of the school leaders.Design/methodology/approachTo achieve the purpose of this study, data collected from 158 principals, who participated in the Teaching and Learning International Survey 2018, were analyzed using structural equation modeling.FindingsThis study found that total quality learning-oriented school leaders are supportive of developing social capital in their schools, and such social capital development is very useful to improve organizational innovativeness. Interestingly, social capital development has been found to mediate the relationship between total quality learning-oriented school leadership and organizational innovativeness.Practical implicationsThis study submits evidence for two major activities that school leaders perform: learning- and control-oriented activities, both being important for improving and measuring quality in the educational sector. This study clearly shows that control-oriented activities lean toward negatively on social capital while learning-oriented activities strongly and positively influence social capital development. From this study, practitioners can be aware and consciously promote social capital development in schools and that social capital development mediates the influence of total quality leadership and innovation in schools.Originality/valueSchools can be visualized as guarded communities for creating a secure environment for students in support of learning. This research study shows that the combined cognitive capital, structural capital and relational capital mediate the impacts of total quality leadership on innovativeness in schools. Thus, school leaders should first establish a mechanism to develop social capital among their employees to bring up innovative initiatives.
A linear smoothed meshfree method with intrinsic enrichment functions for 2D crack analysis
Authors: Ban Can , Pu Na Na , Zhang Yi Fei , Wentao Ma 
Published: March 2022

PurposeThis article aims to develop an accurate and efficient meshfree Galerkin method based on the strain smoothing technique for linear elastic continuous and fracture problems.Design/methodology/approachThis paper proposed a generalized linear smoothed meshfree method (LSMM), in which the compatible strain is reconstructed by the linear smoothed strains. Based on the idea of the weighted residual method and employing three linearly independent weight functions, the linear smoothed strains can be created easily in a smoothing domain. Using various types of basic functions, LSMM can solve the linear elastic continuous and fracture problems in a unified way.FindingsOn the one hand, the LSMM inherits the properties of high efficiency and stability from the stabilized conforming nodal integration (SCNI). On the other hand, the LSMM is more accurate than the SCNI, because it can produce continuous strains instead of the piece-wise strains obtained by SCNI. Those excellent performances ensure that the LSMM has the capability to precisely track the crack propagation problems. Several numerical examples are investigated to verify the accurate, convergence rate and robustness of the present LSMM.Originality/valueThis study provides an accurate and efficient meshfree method for simulating crack growth.
The impact of acculturation process and the institutional isomorphism on IFRS adoption
Authors: Ben Salem Rahma , Damak Ayadi Salma 
Published: March 2022

PurposeThis study aims to explain why some countries have quickly embraced IFRS standards while others have partially adopted IFRS and others have been resisting using a model borrowed from social psychology that appeals to cultural differences.Design/methodology/approachAfter selecting a sample of 30 countries, the data were analyzed through hierarchical cluster analysis. The results indicate that the sampled countries are classified into seven categories according to the degree of application of international standards. The ordinal regression is used to identify cultural and institutional factors that influence the adoption of IFRS.FindingsThe findings show that interpersonal communication promotes the application of international standards while open-mindedness, ethnocentrism and knowledge of the host culture prevent the transition to a strategy of adoption. The authors have also found out an empirical support for the two institutional isomorphic pressures (coercive and mimetic) on the adoption of IFRS at the national level. While the opening to the international economy encourages countries to set a strategy of adoption, civil liberties and political rights, taxation and innovation impede such adoption.Practical implicationsThe study contributes to a better understanding of the factors influencing the implementation of IFRS. It provides to institutional theorists, accounting scholars and policymakers a cultural and institutional model for effective IFRS adoption conditions: promote intercultural interactions; master IFRS does not automatically mean applying them; encourage openness to the global economy; review the taxation system and accounting education programs and especially; and allow some flexibility for standard setters. This study can also assist regulators to verify their policies for the enforcement of IFRS. This paper will also be useful for future research studying the links between human behavior and the choice of new accounting standards through acculturation theory.Originality/valueThrough the acculturation theory, five new cultural dimensions developed by Ben Salem et al. (2019) are used for the first time to define the choice of accounting systems developed to international standards. This study empirically verified the predictive validity of these dimensions on the adoption of IFRS. Previous research have been based on the relationship between culture and disclosure using mainly the Hofstede dimensions. There is, therefore, a shortage of studies analyzing the culture and adoption of IFRS in individual countries. This study provides a cultural and institutional model of IFRS implementation conditions. Similarly, the research included taxation, which is not addressed by previous research, and their relevance in explaining the recourse to IFRS standards is confirmed.
The impact of exclusivity in talent identification: sources of perceived injustice and employee reactions
Authors: Peterson Jonathan , Tahssain-Gay Loubna , Laila Benraiss-Noailles 
Published: March 2022

PurposeThis paper examines antecedents to perceived injustice in exclusive talent identification practices.Design/methodology/approach31 in-depth interviews with individuals working in for-profit organizations in France were conducted and analyzed. Interviewees represented a variety of sectors such as transportation, aerospace, energy and telecommunications.FindingsThe use of exclusivity in talent identification influences perceived organizational justice through ambiguous advancement policies, support from hidden networks, lack of diversity in the talent identification process, frequent gender discrimination, and premature labeling of talent. These practices suggest breaches in procedural, distributive and interactional justice by allocating advantages to some employees over others. Exclusivity yielded frustration, jealousy and potential retaliatory behavior against those individuals deemed to be unfairly identified as talent.Practical implicationsThe challenge of ensuring fair and equitable talent identification is a growing issue for organizations. For managers, it requires paying close attention to how some forms of exclusivity in talent identification may create unfair treatment of employees.Originality/valueWhile organizational justice research focuses on the background and practices that promote justice, our research finds its originality in examining the sentiments of injustice that remain contextual, subjective and comparative.
Self-service technologies (SSTs) in airline services: multimediating effects of flow experience and SST evaluation
Authors: Moon Hye Young , Lee Bo Youn 
Published: March 2022

Purpose
This study aims to investigate the effects of consumers’ motivations on behavioral intention to use self-service technology (SST) in airline services exploring multimediating effects of flow experience and SST evaluation in Stimulus-Organism-Response model.

Design/methodology/approach
An online survey was conducted with quota sampling based on age group who had experiences of SSTs usage at the Incheon International Airport in South Korea. A total of 286 responses were used for the data analysis with structural equation modeling to examine the proposed model and the multimediating effects.

Findings
The results showed that consumers’ intrinsic and extrinsic motivations had positive impacts on their flow experience, SST evaluation and behavioral intention to use airline SSTs. Their flow experience had a positive influence on SST evaluation, and their SST evaluation influenced behavioral intention to use airline SSTs. Consumers’ flow experience and SST evaluation mediated the relationship between intrinsic and extrinsic motivations and behavioral intention to use airline SSTs.

Practical implications
It is important for customers to perceive extrinsic motivation such as speed, convenience and efficiency for the smooth process of airline SSTs at the airport. SST evaluation plays a key role to increase customers’ behavioral intention to use airline SSTs.

Originality/value
This study extends the understanding of consumers’ intrinsic and extrinsic motivations, flow experience, SST evaluation and behavioral intentions to use SST in airline services by building on a model. Especially, findings of the (multi)mediating effects of customers’ perceived flow and SST evaluation on the relationship between motivations and behavioral intention to use airline SSTs might provide better guidelines for managers to incorporate SSTs, to increase operational efficiency and to boost customer experiences.
Enablers of technology agility in higher education
Authors: Menon Shalini , Suresh M. 
Published: March 2022

PurposeThe purpose of this study is two-fold. First, to identify and encapsulate the enablers that can facilitate technology integration in higher education and second, to understand and analyze the interplay between technology agility enablers.Design/methodology/approachThe study used the Total Interpretive Structural Modeling (TISM) approach to construct a theoretical model of the technology agility enablers in higher education and MICMAC analysis for ranking and segregating the enablers based on their dependence power into four categories: Autonomous, Dependent, Linkage and Independent.FindingsThe study helped identify eight technology agility enablers, with the Covid-19 pandemic as the most significant enabler. The Covid-19 pandemic has catalyzed the diffusion of technology across the education sector in India, including tertiary higher education. The study revealed government initiatives and institutional commitment as other enablers that can promote technology agility in higher education.Practical implicationsThe results of this study would assist the policymakers and management of universities and colleges in understanding the important enablers that can facilitate technology integration in higher education.Originality/valueResearch in the past on technology adoption in higher education has looked into each enabler in isolation. This research provides a comprehensive view of the enablers and has attempted to establish a multidirectional interplay between the enablers.