bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing patient-oriented combination therapies for acute myeloid leukemia based on efficacy/toxicity integration and bipartite network modeling
Authors: Mirzaie Mehdi , Gholizadeh Elham , Miettinen Juho J. , Ianevski Filipp , Ruokoranta Tanja , Saarela Jani , Manninen Mikko , Miettinen Susanna , Heckman Caroline A. , Jafari Mohieddin 
Published: May 2023

AbstractAcute myeloid leukemia (AML), a heterogeneous and aggressive blood cancer, does not respond well to single-drug therapy. A combination of drugs is required to effectively treat this disease. Computational models are critical for combination therapy discovery due to the tens of thousands of two-drug combinations, even with approved drugs. While predicting synergistic drugs is the focus of current methods, few consider drug efficacy and potential toxicity, which are crucial for treatment success. To find effective new drug candidates, we constructed a bipartite network using patient-derived tumor samples and drugs. The network is based on drug-response screening and summarizes all treatment response heterogeneity as drug response weights. This bipartite network is then projected onto the drug part, resulting in the drug similarity network. Distinct drug clusters were identified using community detection methods, each targeting different biological processes and pathways as revealed by enrichment and pathway analysis of the drugs’ protein targets. Four drugs with the highest efficacy and lowest toxicity from each cluster were selected and tested for drug sensitivity using cell viability assays on various samples. Results show that the combinations of ruxolitinib-ulixertinib and sapanisertib-LY3009120 are the most effective with the least toxicity and best synergistic effects on blasts. These findings lay the foundation for personalized and successful AML therapies, ultimately leading to the development of drug combinations that can be used alongside standard first-line AML treatment.Key PointsRuxolitinib-ulixertinib and sapanisertib-LY3009120 have the best synergistic effects on AML, with the least toxicity.This study’s combinations destroy blasts without harming other healthy cells, unlike standard chemotherapy, which is less specific.
Extensive DNA methylome rearrangement during early lamprey embryogenesis
Authors: Angeloni Allegra , Fissette Skye , Kaya Deniz , Hammond Jillian M. , Gamaarachchi Hasindu , Deveson Ira W. , Klose Robert J. , Li Weiming , Zhang Xiaotian , Bogdanovic Ozren 
Published: May 2023

ABSTRACTDNA methylation (5-methylcytosine, 5mC) is a repressive gene regulatory mark widespread in vertebrate genomes, yet the developmental dynamics in which 5mC patterns are established vary across species. While mammals undergo two rounds of global 5mC erasure, the zebrafish genome exhibits localized maternal-to-paternal 5mC remodeling, in which the sperm epigenome is inherited in the early embryo. To date, it is unclear how evolutionarily conserved such 5mC remodeling strategies are, and what their biological function is. Here, we studied 5mC dynamics during the embryonic development of sea lamprey (Petromyzon marinus), a jawless vertebrate which occupies a critical phylogenetic position as the sister group of the jawed vertebrates. We employed base-resolution 5mC quantification in the lamprey germline, embryonic and somatic tissues, and discovered large-scale maternal-to-paternal epigenome remodeling that affects >30% of the embryonic genome and is predominantly associated with partially methylated domains (PMDs). We further demonstrate that sequences eliminated during programmed genome rearrangement (PGR), a hallmark of lamprey embryogenesis, are hypermethylated in sperm prior to the onset of PGR. Our study thus unveils important insights into the evolutionary origins of vertebrate 5mC reprogramming, and how this process might participate in diverse developmental strategies.
A three lenses approach to employability: transdisciplinary approaches to TNE students' careers education
Authors: Brammar Laura 
Published: May 2023

PurposeThis paper aims to explore a transdisciplinary approach to the careers and employability education of transnational education (TNE) students of higher education. It proposes that an approach which adopts three lenses of academic study, lived experience and career stage can provide maximum benefits to the TNE students' careers education, particularly in response to the modern workplace. The study aims illustrate the potential benefits of such an approach to multiple stakeholders within higher education.Design/methodology/approachThis paper adopts a viewpoint approach drawing on higher education career service practitioner-based experience of using a specific approach to employability with TNE students studying with a large university based in the UK. Student evaluation data from this practice are referred to in the paper.FindingsThis paper provides insights into how this approach to employability was received by higher education TNE students who participated in a pilot project led by a higher education careers service, which adopted the three lenses approach.Originality/valueThis paper illustrates how a transdisciplinary approach to the careers and employability education of TNE students can be of significant value to the higher education students themselves, the institutions within which they study and the graduate recruiters looking to attract future employees for the workplaces of the future. It is hoped that by sharing this approach more stakeholders within the TNE and careers and employability communities within higher education will adopt a similar approach.
Impact of school climate and resources on principal workload stress and job satisfaction: multinational evidence from TALIS 2018 data
Authors: Chen Junjun , Bellibaş Mehmet Şükrü , Gümüş Sedat 
Published: May 2023

PurposeThe research aimed to examine the effects of school climate (school violence and community engagement) and resources (staff shortages and resource shortages) on job satisfaction mediated by the workload stress of school principals, using pooled data from 47 jurisdictions around the world.Design/methodology/approachThis study employed a rigorous secondary analysis of principal job satisfaction using the Teaching and Learning International Survey (TALIS) 2018 dataset. The mediation analysis of structural equation modeling (SEM) performed using STATA software established a structured model by controlling region-fixed effect, principal demographic and school contextual characteristics.FindingsThis study established a model detailing the associations between school climate and resources and principal job satisfaction mediated by workload stress.Originality/valueGiven the crucial role of a school principal in leading school survival and success, this study may provide one timely method to enhance job satisfaction and performance of principals during a period of constant change marked by increasing job demands.
The service empowerment model: a collaborative approach to reducing vulnerability
Authors: Koppenhafer Leslie , Scott Kristin , Weaver Todd , Mulder Mark 
Published: May 2023

Purpose
Service researchers have been tasked with improving the well-being of consumers experiencing vulnerability. The current research aims to demonstrate how these consumers can experience empowerment through transformative service improvements to the traditional microfinance model.

Design/methodology/approach
To ground the research in a real-world setting with consumers experiencing vulnerability, the research team worked with a nonprofit microfinance organization offering loans to communities of Indigenous women entrepreneurs. The research team worked in six communities and conducted over 25 borrower interviews and 14 staff and volunteer interviews totaling 1,200 min of recorded content.

Findings
The present investigation of a unique approach to microfinance offers a new theoretical model, the service empowerment model (SEM), which illustrates how empowerment emanates from processes and outcomes at three distinct levels: micro, meso and macro. Recognizing that change occurs individually and also at familial and societal levels begins to challenge deeply rooted structural and cultural norms involved in the services ecosystem.

Practical implications
Originating from the microfinance service setting, the SEM can be explored, tested and implemented as a pilot program in a variety of service settings that involve transformative service initiatives (e.g. homelessness, refugees, etc.).

Social implications
As society pursues solutions to the pressing problems of consumers experiencing vulnerability, the present research offers critical insights into how services should be designed.

Originality/value
The present research defines a new term, service empowerment, and creates a new theoretical model, the SEM, to aid in improving transformative service initiatives.
Linking entrepreneurial leadership and innovation performance in hospitality firms: the roles of innovation strategy and knowledge acquisition
Authors: Hoang Giang , Nguyen Huong , Luu Tuan Trong , Nguyen Thuy Thu 
Published: May 2023

PurposeTo achieve business success in a competitive market, hospitality firms are urged to search for different ways to enhance the firms' innovation capabilities. Drawing on dynamic capability theory, this study examined the role of entrepreneurial leadership in promoting product and process innovation through the mediating effect of innovation strategy and the moderating effect of knowledge acquisition.Design/methodology/approachData were collected through a time-lagged (two waves, two months apart) survey from 137 managers and 322 employees working in 103 Vietnamese hotels. Structural equation modeling (SEM) was used to test the proposed hypotheses in our conceptual model.FindingsThe findings revealed that entrepreneurial leadership is positively associated with both product and process innovation. In addition, these relationships are mediated by innovation strategy. While the relationship between innovation strategy and product innovation is moderated by knowledge acquisition, evidence was not obtained for the moderation effect of knowledge acquisition on the link between innovation strategy and process innovation.Originality/valueThe findings advance innovation and leadership literature by identifying the roles of entrepreneurial leaders in managing an organization as a dynamic system and developing appropriate innovation strategy to adapt to rapidly changing environments. In addition, this study offers important implications for hospitality firms that are investing in innovation activities and are seeking ways to promote the firms' innovation of products and processes.
What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness
Authors: Bâra Adela , Oprea Simona-Vasilica 
Published: May 2023

PurposeIn this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role.Design/methodology/approachTo answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs.FindingsThe effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness.Research limitations/implicationsHowever, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities.Practical implicationsThus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs.Originality/valueThis paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.
Exploring the impact of knowledge management capability on firm performance: the mediating role of business model innovation
Authors: Chen Shuting , Yu Dengke 
Published: May 2023

PurposeKnowledge management (KM) capability plays an important role in the promotion of firm performance in the knowledge economy era. However, empirical evidence on how KM capability affects firm performance is still limited. The study therefore aims to explore the impacts of internal and external KM capabilities on firm performance via the parallel mediation of efficiency-centered and novelty-centered business model innovations (BMIs).Design/methodology/approachThe authors empirically analyzed a survey data of 295 Chinese innovative enterprises by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).FindingsAccording to the results of PLS-SEM, the relationship between internal KM capability and firm performance is not significant, instead it is fully mediated by efficiency-centered and novelty-centered BMIs. External KM capability can directly and positively affect firm performance, while the relationship is also partially mediated by BMIs. Furthermore, the authors recognized the antecedent conditions for high-level and low-level firm performance by fsQCA analysis, which substantiate the above findings.Originality/valueIt not only enriches the literature that links KM and innovation management but also contributes to the new theoretical perspective on firm sustainable growth. Methodologically, it combines symmetric and asymmetric analyses together. Additionally, it provides some insights for managers to understand how KM capability drives firm performance through BMI.
Economic impacts of the Black Sea Grain Initiative
Authors: Poursina Davood , Aleks Schaefer K. , Hilburn Sidany , Johnson Tuff 
Published: May 2023

AbstractIn this research, we use econometric analysis to estimate the impacts of the Black Sea Grain Initiative on international wheat and corn prices. Using these results, we assess the economic value of the treaty to the global food system, as well as the regional distribution of the associated welfare savings. We find that the Russian Invasion created economic costs of approximately $116.05 billion in the global wheat and corn markets. In the international wheat market, the Black Sea Grain Initiative reduced prices by 7.9%, offsetting approximately $21.48 billion of these costs. The largest winners from the Initiative outside Ukraine are primarily in the developing world, particularly in the Middle East and North Africa. We do not observe any economically meaningful impacts of the Initiative in the international corn market.
Open‐source workflow approaches to passive acoustic monitoring of bats
Authors: Brinkløv Signe M. M. , Macaulay Jamie , Bergler Christian , Tougaard Jakob , Beedholm Kristian , Elmeros Morten , Madsen Peter Teglberg 
Published: May 2023

AbstractThe affordability, storage and power capacity of compact modern recording hardware have evolved passive acoustic monitoring (PAM) of animals and soundscapes into a non‐invasive, cost‐effective tool for research and ecological management particularly useful for bats and toothed whales that orient and forage using ultrasonic echolocation. The use of PAM at large scales hinges on effective automated detectors and species classifiers which, combined with distance sampling approaches, have enabled species abundance estimation of toothed whales. But standardized, user‐friendly and open access automated detection and classification workflows are in demand for this key conservation metric to be realized for bats.We used the PAMGuard toolbox including its new deep learning classification module to test the performance of four open‐source workflows for automated analyses of acoustic datasets from bats. Each workflow used a different initial detection algorithm followed by the same deep learning classification algorithm and was evaluated against the performance of an expert manual analyst.Workflow performance depended strongly on the signal‐to‐noise ratio and detection algorithm used: the full deep learning workflow had the best classification accuracy (≤67%) but was computationally too slow for practical large‐scale bat PAM. Workflows using PAMGuard's detection module or triggers onboard an SM4BAT or AudioMoth accurately classified up to 47%, 59% and 34%, respectively, of calls to species. Not all workflows included noise sampling critical to estimating changes in detection probability over time, a vital parameter for abundance estimation. The workflow using PAMGuard's detection module was 40 times faster than the full deep learning workflow and missed as few calls (recall for both ~0.6), thus balancing computational speed and performance.We show that complete acoustic detection and classification workflows for bat PAM data can be efficiently automated using open‐source software such as PAMGuard and exemplify how detection choices, whether pre‐ or post‐deployment, hardware or software‐driven, affect the performance of deep learning classification and the downstream ecological information that can be extracted from acoustic recordings. In particular, understanding and quantifying detection/classification accuracy and the probability of detection are key to avoid introducing biases that may ultimately affect the quality of data for ecological management.
Retracted: Clinical effect of surgical treatment for lung metastasis and prognostic risk factor analysis: a single‐centred cohort study
Authors: Peng Dongge , Sun Wei 
Published: May 2023

AbstractAimThis study aimed to compare the clinical effects of lobectomy and sublobar resection in the treatment of lung metastasis and to analyse the factors affecting patient prognosis.MethodsA retrospective analysis was performed on the clinical data of patients with pulmonary metastasis who underwent thoracic surgery at the Affiliated Cancer Hospital of Xinjiang Medical University between March 2010 and May 2021.ResultsA total of 165 patients who underwent pulmonary metastasectomy (PM) for lung metastasis met the inclusion criteria. Compared with the lobectomy group, the sublobar resection group had shorter operation time for pulmonary metastases (P < 0.001), lower intraoperative blood loss (P < 0.001), lower drainage volume on the first day after surgery (P < 0.001), lower incidence of prolonged air leak (P = 0.004), shorter drainage tube indwelling time (P = 0.002), and shorter postoperative hospital stay (P = 0.023). Multivariate analysis showed that sex (95% confidence interval (CI), 0.390–0.974; P = 0.038), disease‐free interval (DFI) (95% CI, 1.082–2.842; P = 0.023), and postoperative adjuvant therapy (95% CI, 1.352–5.147; P = 0.004) were independent influencing factors of disease‐free survival of patients who underwent PM. DFI (95% CI, 1.062–3.894; P = 0.032) and preoperative carcinoembryonic antigen (CEA) level (95% CI, 1.420–5.163; P = 0.002) were independent factors influencing the overall survival of patients in this group.ConclusionSublobar resection provides a safe and effective treatment option for patients with pulmonary metastasis on the premise of ensuring resection of lung metastasis R0. Female sex, longer DFI, the use of postoperative adjuvant therapy and a lower preoperative CEA level were all favourable prognostic factors.
Coronary microcirculation and left ventricular diastolic function but not myocardial deformation indices are impaired early in patients with chronic kidney disease
Authors: Lakkas Lampros , Naka Katerina K. , Bechlioulis Aris , Duni Anila , Moustakli Maria , Balafa Olga , Theodorou Ioanna , Katsouras Christos S. , Dounousi Evangelia , Michalis Lampros K. 
Published: May 2023

AbstractAimTo investigate abnormalities in myocardial strain and classic echocardiographic indices and coronary flow reserve (CFR), in younger versus older CKD patients.MethodsSixty consecutive CKD patients (<60 years oldn = 30, ≥60 years oldn = 30) and 30 healthy controls (age‐ and gender‐matched with younger CKD patients) were recruited. An echocardiographic assessment including myocardial strain indices (i.e. global longitudinal strain ‐GLS ‐, TWIST, UNTWIST rate) was performed at baseline and following dipyridamole administration in all participants.ResultsYounger CKD patients had higherE/e', left ventricular mass index and relative wall thickness and lowerE' (p < .005 for all) compared to healthy controls. Older CKD patients had lowerE/AandE' (p < .05 for both) compared to younger CKD patients; these differences did not remain significant after adjustment for age. CFR was higher in healthy controls compared to younger and older CKD patients (p < .05 for both) without a significant difference between CKD groups. There were no significant differences in GLS, TWIST or UNTWIST values among the three groups of patients. Dipyridamole‐induced changes did not differ significantly among the three groups.ConclusionsCompared to healthy controls, impaired coronary microcirculation and left ventricular diastolic function, but not myocardial strain abnormalities, are found in young CKD patients and deteriorate with aging.
It is not only group size: Soldiers also modulate the tolerance to insecticide in termites (Blattodea: Isoptera)
Authors: Watanabe Sara Y. M. , Ferreira Larissa F. , Cruz Marília R. P. , Araújo Ana P. A. , Desouza Og , Cristaldo Paulo F. 
Published: May 2023

AbstractThe survivorship of social insects is known to increase with group size, even in situations of stress, such as starvation and exposure to insecticides. However, in termites, studies have been undertaken only with workers, disregarding the possible effect of soldiers. The role of soldiers in the termite colonies goes beyond defense, mainly in Nasutitermes species. It is already known that soldiers initiate the foraging as well as improve the decision‐making of food resources. Here, we evaluated the effect of group size and the presence of soldiers on exposure to sublethal doses of the insecticide imidacloprid in Nasutitermes corniger (Termitidae: Nasutitermitinae). To do so, toxicity bioassays were undertaken initially to determine the dose of the insecticide required to kill 50% of the N. corniger population (LD50) to be used in the main experiments. Survival bioassays were then carried out with termite groups, with and without soldiers, in different sizes (6, 10, 14, 22, 26, 30 and 60), exposed and nonexposed to insecticide. In general, the mean time to death of termites increases linearly with group size. However, the mean time to death in groups with soldiers was significantly longer only in groups exposed to the insecticide. Our results indicate that soldiers can help to increase the tolerance of nasute termite groups to insecticides, in addition to the group size, as already shown in the previous study. The size of the group and social context could, therefore, modulate behavioral and/or physiological responses that enhance the ability to survive under stressful situations.