bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of temperature on the development ofHeliconius eratobutterflies
Authors: Huang Yuqian , McPherson Josie , Jiggins Chris D. , Montejo-Kovacevich Gabriela 
Published: December 2022

AbstractAnthropogenic climate change is thought to present a significant threat to biodiversity, in particular to tropical ectotherms, and the effects of long-term developmental heat stress on this group have received relatively little research attention.Here we study the effects of experimentally raising developmental temperatures in a tropical butterfly. We measured survival, development time, adult body mass, and wing size of a neotropical butterfly,Heliconius erato demophoon, across three temperature treatments.Egg survival was lower in the hotter treatments, with 83%, 73%, and 49% of eggs eclosing in the 20-30°C, 23-33°C, and 26-36°C treatments, respectively. Larval survival was five times lower in the 26-36°C treatment (4%) compared to the 20-30°C treatment (22%), and we did not detect differences in pupal survival across treatments due to high mortality in earlier stages.Adults in the 20-30°C treatment had a lower body mass and larvae had a lower growth rate compared to the intermediate 23-33°C treatment, but were heavier than the few surviving adults in the 26-36°C treatment. Females were heavier and grew faster as larvae than males in the 23-33°C treatment, but there was no associated increase in wing size.In summary, high developmental temperatures are particularly lethal for eggs and less so for larvae, and also affect adult morphology. This highlights the importance of understanding the effects of temperature variation across ontogeny in tropical ectotherms.
Multiple Instance Learning Framework can Facilitate Explainability in Murmur Detection
Authors: Rohr Maurice , Müller Benedikt , Dill Sebastian , Güney Gökhan , Antink Christoph Hoog 
Published: December 2022

AbstractObjectiveCardiovascular diseases (CVDs) account for a high fatality rate worldwide. Heart murmurs can be detected from phonocardiograms (PCGs) and may indicate CVDs. Still they are often overlooked as their detection and correct clinical interpretation requires expert skills. In this work, we aim to predict the presence of murmurs and clinical outcome from multiple PCG recordings employing an explainable multitask model.ApproachOur approach consists of a two-stage multitask model. In the first stage, we predict the murmur presence in single PCGs using a multiple instance learning (MIL) framework. MIL also allows us to derive sample-wise classifications (i.e. murmur locations) while only needing one annotation per recording (“weak label”) during training. In the second stage, we fuse explainable hand-crafted features with features from a pooling-based artificial neural network (PANN) derived from the MIL framework. Finally, we predict the presence of murmurs as well as the clinical outcome for a single patient based on multiple recordings using a simple feed-forward neural network.Main resultsWe show qualitatively and quantitatively that the MIL approach yields useful features and can be used to detect murmurs on multiple time instances and may thus guide a practitioner through PCGs. We analyze the second stage of the model in terms of murmur classification and clinical outcome. We achieved a weighted accuracy of 0.714 and an outcome cost of 13612 when using the PANN model and demographic features on the CirCor dataset (hidden testset of the George B. Moody PhysioNet challenge 2022, team “Heart2Beat”, rank 12 / 40).SignificanceTo the best of our knowledge, we are the first to demonstrate the usefulness of MIL in PCG classification. Also, we showcase how the explainability of the model can be analyzed quantitatively, thus avoiding confirmation bias inherent to many post-hoc methods. Finally, our overall results demonstrate the merit of employing MIL combined with handcrafted features for the generation of explainable features as well as for a competitive classification performance.
Metabolomic Profiling to Identify Early Urinary Biomarkers and Metabolic Pathway Alterations in Autosomal Dominant Polycystic Kidney Disease
Authors: Houske Eden A. , Glimm Matthew G. , Bergstrom Annika R. , Slipher Sally K. , Welhaven Hope D. , Greenwood Mark C. , Linse Greta M. , June Ronald K. , Yu Alan S.L. , Wallace Darren P. , Hahn Alyssa K. 
Published: December 2022

AbstractAutosomal dominant polycystic kidney disease (ADPKD) is characterized by the formation of numerous fluid-filled cysts that lead to progressive loss of functional nephrons. Currently, there is an unmet need for diagnostic and prognostic indicators of early stages of the disease. Metabolites were extracted from the urine of early-stage ADPKD patients (n=48) and age- and sex-matched normal controls (n=47) and analyzed by liquid chromatography-mass spectrometry. Orthogonal partial least squares-discriminant analysis was employed to generate a global metabolomic profile of early ADPKD for the identification of metabolic pathway alterations and discriminatory metabolites as candidates of diagnostic and prognostic biomarkers. The global metabolomic profile exhibited alterations in steroid hormone biosynthesis and metabolism, fatty acid metabolism, pyruvate metabolism, amino acid metabolism, and the urea cycle. A panel of 46 metabolite features were identified as candidate diagnostic biomarkers. Notable putative identities of candidate diagnostic biomarkers for early detection include creatinine, cAMP, dCMP, various androgens (testosterone, 5alpha-androstane-3,17,dione, trans-dehydroandrosterone), betaine aldehyde, phosphoric acid, choline, 18-hydroxycorticosterone, and cortisol. Metabolic pathways associated with variable rates of disease progression included steroid hormone biosynthesis and metabolism, vitamin D3 metabolism, fatty acid metabolism, the pentose phosphate pathway, tricarboxylic acid cycle, amino acid metabolism, sialic acid metabolism, and chondroitin sulfate and heparin sulfate degradation. A panel of 41 metabolite features were identified as candidate prognostic biomarkers. Notable putative identities of candidate prognostic biomarkers include ethanolamine, C20:4 anandamide phosphate, progesterone, various androgens (5alpha-dihydrotestosterone, androsterone, etiocholanolone, epiandrosterone), betaine aldehyde, inflammatory lipids (eicosapentaenoic acid, linoleic acid, stearolic acid), and choline. Our exploratory data support metabolic reprogramming in early ADPKD and demonstrate the ability of liquid chromatography-mass spectrometry-based global metabolomic profiling to detect metabolic pathway alterations as new therapeutic targets and biomarkers for early diagnosis and tracking disease progression of ADPKD.
Sexual misconduct reporting: the silencing effects of hegemonic masculinity
Authors: Smith Chelsie J. , Dupré Kathryne E. , Dionisi Angela M. 
Published: December 2022

PurposeDrawing on hegemonic masculinity theory, this study provides evidence supporting how gender, race and sexual identity, may shape the rates of sexual misconduct reporting, by keeping those targets who traditionally enjoy positions of power (i.e. white, cisgender men) silent.Design/methodology/approachAcross 3,230 gender harassment, 890 sexual advance harassment and 570 sexual assault incidents that occurred within a traditionally masculine organization, the authors conducted tests of independence and hierarchical regression analyses to examine whether targets' social identity characteristics (i.e. sex, race, sexuality and gender alignment), predicted the reporting of sexual misconduct.FindingsAlthough reporting rates varied based on the type of incident, white men were less likely than their colleagues to report workplace sexual misconduct. In general, men were approximately half as likely as women to report. Lower rates of reporting were similarly seen among all white (vs BIPOC) targets and all cisgender and heterosexual (vs LGBT) targets, when controlling for other identity characteristics.Originality/valueResearch on sexual misconduct has largely privileged the experiences of (white, heterosexual) women, despite knowledge that men, too, can experience this mistreatment. This research broadens this lens and challenges the notion that sexual misconduct reporting rates are uniform across employee groups. By articulating how the pressures of hegemonic masculinity serve to silence certain targets – including and especially white, cisgender men – the authors provide means of better understanding and addressing workplace sexual misconduct underreporting.
A mathematical framework for estimating prototyping cost considering transition of quality states under Markovian setting
Authors: Goswami Mohit , Ramkumar M. , Daultani Yash 
Published: December 2022

PurposeThis research aims to aid product development managers to estimate the expected cost associated with the development of cost-intensive physical prototypes considering transitions associated with pertinent states of quality of the prototype and corresponding decision policies under the Markovian setting.Design/methodology/approachThe authors evolve two types of optimization-based mathematical models under both deterministic and randomized policies. Under the deterministic policy, the product development managers take certain decisions such as “Do nothing,” “Overhaul,” or “Replace” corresponding to different quality states of prototype such as “Good as new,” “Functional with minor deterioration,” “Functional with major deterioration” and “Non-functional.” Under the randomized policy, the product development managers ascertain the probability distribution associated with these decisions corresponding to various states of quality. In both types of mathematical models, i.e. related to deterministic and randomized settings, minimization of the expected cost of the prototype remains the objective function.FindingsEmploying an illustrative case of the operator cabin from the construction equipment domain, the authors ascertain that randomized policy provides us with better decision interventions such that the expected cost of the prototype remains lower than that associated with the deterministic policy. The authors also ascertain the steady-state probabilities associated with a prototype remaining in a particular quality state. These findings have implications for product development budget, time to market, product quality, etc.Originality/valueThe authors’ work contributes toward the development of optimization-driven mathematical models that can encapsulate the nuances related to the uncertainty of transition of quality states of a prototype, decision policies at each quality state of the prototype while considering such facets for all constituent subsystems of the prototype. As opposed to a typical prescriptive study, their study captures the inherent uncertainties associated with states of quality in the context of prototype testing, etc.
Reliability analysis of a two-unit‏ ‏standby system under Marshall–Olkin dependency
Authors: Yaghoubi Afshin , Niaki Seyed Taghi Akhavan 
Published: December 2022

PurposeOne of the common approaches to improve systems reliability is using standby redundancy. Although many works are available in the literature on the applications of standby redundancy, the system components are assumed to be independent of each other. But, in reality, the system components can be dependent on one another, causing the failure of each component to affect the failure rate of the remaining active components. In this paper, a standby two-unit system is considered, assuming a dependency between the switch and its associated active component.Design/methodology/approachThis paper assumes that the failures between the switch and its associated active component follow the Marshall–Olkin exponential bivariate exponential distribution. Then, the reliability analysis of the system is done using the continuous-time Markov chain method.FindingsThe derived equations application to determine the system steady-state availability, system reliability and sensitivity analysis on the mean time to failure is demonstrated using a numerical illustration.Originality/valueAll previous models assumed independency between the switch and the associated active unit in the standby redundancy approach. In this paper, the switch and its associated component are assumed to be dependent on each other.
Do ethics drive value co-creation behavior in online health communities?
Authors: Latif Muhammad Salman , Wang Jian-Jun , Shahzad Mohsin 
Published: December 2022

PurposeOnline health communities (OHCs) have been recognized as emerging platforms on the Internet used for health purposes. Despite its emergence, developing a successful OHC is still a challenge. Prior studies identified that value co-creation behavior (VCB) of members is an essential factor for sustaining OHCs; however, little is known about how members’ behavior drives to co-create value? Therefore, this study aims to discover the inclusive mechanism for members’ VCB in OHCs.Design/methodology/approachThe authors develop the study model and hypothesis based on the service-dominant logic of value co-creation theory and social support (SS) literature. The survey data of 608 active OHCs users in China were analyzed using partial least squares structural equation modeling (PLS-SEM).FindingsThe results revealed that SS positively affects members’ VCBs. Ethical aspects; Trust and ethical interaction (EI) partially mediate their relationships. In addition, community members’ current health status (CHS) negatively moderates the relationships between SS and VCB. From the findings, it becomes evident that only SS is not enough; developing an ethical environment in OHCs, i.e. trust and ethically rich interactions among members, significantly helps OHCs to promote co-creation. Also, the negative moderation of CHS findings provides novel insights when cramming health conditions.Originality/valueExploring the complex mechanism of co-creation in OHC, the authors illustrate the potential of service-dominant logic to create new theoretical insight for healthcare and provide the framework of co-creation with ethics for the first time. This will extend the application of ethics in healthcare services and offer a robust platform from which the understanding of drivers of members’ VCB can be advanced in the OHC context.
Designation of Batu Arang, Selangor as the coal mining and Geological Heritage Site: issues and challenges
Authors: Ramele Ramli Rohaslinda , Ali Muhammad Haiqal , Anas Abu Bakar Abdullah , Widyawati Madzhi Nadia 
Published: December 2022

PurposeThe paper explores the roles of involved organizations in the designation of Batu Arang in Gombak, Selangor, Malaysia, as the Coal Mining and Geological Heritage Site, the heritage significance selected as the elements of its designation and the challenges faced by the involved stakeholders during the designation process.Design/methodology/approachThe primary research material is derived from the documentation review on the final draft of the Special Area Plan (RKK) of Batu Arang and the final draft of the Geopark Management Plan, field investigation on the heritage significances and interviews with the involved organizations: the Selayang Municipal Council (MPS), the State of Selangor Malay Custom and Heritage Corporation (PADAT) and the Village Community Management Council (MPKK) of Batu Arang.FindingsThis paper found that Batu Arang has the potential to be developed as an important heritage mining site and heritage tourism destination; however, many of the heritage significances are being demolished, invaded and abandoned due to human aggression or effects of nature. In addition, it reveals the roles of each involved organization, issues that occurred and challenges faced by the organizations during the designation process as a heritage site, namely in terms of management, property ownership and promotion.Originality/valueThe paper outlines that a heritage mining site like Batu Arang should be considered an important heritage as well as other heritage sites in Malaysia, and issues and challenges faced during the designation process should be discussed critically to ensure that these heritage significances will not be neglected and abandoned.
Stock buybacks and credit default swap spread changes
Authors: Park Heewoo , Park Yuen Jung 
Published: December 2022

The authors investigate whether the effects of stock buyback announcements on credit default swap (CDS) spread changes for US firms depend on macroeconomic conditions. The authors find that abnormal CDS spreads increase for small-sized firms announced to repurchase a higher share ratio during the normal period. In contrast, abnormal CDS spreads decrease for big-sized firms regardless of the magnitude of the repurchase ratio during the crisis period. The results of this study suggest that the wealth transfer effect dominates the signaling effect for small-sized firms with higher target ratios during the normal period. In contrast, the signaling effect is stronger for bondholders of big-sized firms during the crisis period.
Numerical analysis of tensile failure of bolted composite laminates
Authors: Guo Zhangxin , Wei Shiyi , Kuai Pingyu , Chai Gin Boay , Wu Mingyu , Liang Jianguo 
Published: December 2022

PurposeThe influence of the number and arrangement of bolts on the tensile properties of bolted composite laminates was studied in the present study.Design/methodology/approachBased on the finite element model, the stiffness degradation method is used to simulate the damage evolution process for the failure of bolted composite laminates. Using ABAQUS finite element software combined with material failure criteria, the numerical calculation of the connection strength and failure mode of bolted composite laminates was carried out.FindingsThe results of the study show that the tensile strength of the composite laminates connected by three bolts is higher than that of the laminates connected by two bolts. And the arrangement of different bolts has a great influence on the failure strength of bolted laminates.Originality/valueBolted connection of composite laminates is a common problem in engineering practice. The effect of bolt arrangement and number on the strength of composite laminates is studied in this manuscript.
Plant associated protists—Untapped promising candidates for agrifood tools
Authors: Nguyen Bao‐Anh Thi , Dumack Kenneth , Trivedi Pankaj , Islam Zahra , Hu Hang‐Wei 
Published: December 2022

AbstractThe importance of host‐associated microorganisms and their biotic interactions for plant health and performance has been increasingly acknowledged. Protists, main predators and regulators of bacteria and fungi, are abundant and ubiquitous eukaryotes in terrestrial ecosystems. Protists are considered to benefit plant health and performance, but the community structure and functions of plant‐associated protists remain surprisingly underexplored. Harnessing plant‐associated protists and other microbes can potentially enhance plant health and productivity and sustain healthy food and agriculture systems. In this review, we summarize the knowledge of multifunctionality of protists and their interactions with other microbes in plant hosts, and propose a future framework to study plant‐associated protists and utilize protists as agrifood tools for benefiting agricultural production.
Effects of neoadjuvant hyperthermic intraperitoneal chemotherapy on chemotherapy response score and recurrence in high‐grade serous ovarian cancer patients with advanced disease: A multicentre retrospective cohort study
Authors: Wu Miao‐fang , Liang Jin‐xiao , Li Hui , Ye Yan‐fang , Liang Wei‐feng , Wang Li‐juan , Zhang Bing‐zhong , Chen Qing , Lin Zhong‐qiu , Li Jing 
Published: December 2022

AbstractObjectiveTo investigate whether the combination of neoadjuvant hyperthermic intraperitoneal chemotherapy (NHIPEC) plus intravenous neoadjuvant chemotherapy (IV NACT) has superior efficacy to IV NACT alone.DesignRetrospective cohort study.SettingTwo tertiary referral university hospitals.PopulationPatients with ovarian cancer who received NACT‐interval debulking surgery (IDS) between 2012 and 2020.MethodsThe tumour response to NACT was evaluated with the chemotherapy response score (CRS) system. Survival outcomes were compared.Main outcome measuresCRS 3, progression‐free survival (PFS), and overall survival (OS).ResultsIn total, 127 patients were included, and 46 received NHIPEC plus IV NACT. The addition of NHIPEC was independently associated with an increased likelihood of CRS 3 (p = 0.033). Patients who received NHIPEC + IV NACT had significantly improved PFS compared with those who received IV NACT alone (median PFS: 22 versus 16 months, p < 0.001). The use of NHIPEC was identified as an independent predictor of PFS (p < 0.0001). OS did not differ significantly between treatment groups (p = 0.062), although a trend favouring NHIPEC was noted. Incidence of grade 3–4 adverse events and the surgical complexity score of IDS were similar between the two groups.ConclusionsCompared with IV NACT alone, the combination of NHIPEC and IV NACT resulted in improved tumour response and longer PFS. The addition of NHIPEC did not increase the risk of adverse effects or affect the complexity of IDS.
Genomic Scar Score: A robust model predicting homologous recombination deficiency based on genomic instability
Authors: Yuan Wuzhou , Ni Jing , Wen Hao , Shi Weijie , Chen Xuejun , Huang Hongwei , Zhang Xiaotian , Lu Xuan , Zhu Changbin , Dong Hua , Yang Shuang , Wu Xiaohua , Chen Xiaoxiang 
Published: December 2022

AbstractObjectiveTo develop a novel machine learning‐based algorithm called the Genomic Scar Score (GSS) for predicting homologous recombination deficiency (HRD) events.DesignMethod development study.SettingAmoyDx Medical Laboratory and Jiangsu Cancer Hospital.Population or sampleA cohort of individuals with ovarian or breast cancer (n = 377) were collected from the AmoyDx Medical Laboratory. Another cohort of patients with ovarian cancer treated with PARP inhibitors (n = 58) was enrolled in the Jiangsu Cancer Hospital.MethodsWe used linear support vector machines to build a Genomic Scar (GS) model to predict HRD events, and Kaplan–Meier analyses were performed by comparing the progression‐free survival (PFS) of patients in different groups using a two‐sided log‐rank test.Main outcome measuresThe performance of the GS model and the result of clinical validation.ResultsThe GS model displayed more than 97.0% sensitivity to detect BRCA‐deficient events, and the GS model identified patients that could benefit from poly(ADP‐ribose) polymerase inhibitors (PARPi), as the GS score (GSS)‐positive group had a longer progression‐free survival (PFS) (9.4 versus 4.4 months; hazard ratio [HR] = 0.54, P < 0.001) than the GSS‐negative group after PARPi treatment. Meanwhile, the GSS showed high concordance among different NGS panels, which implied the robustness of the GS model.ConclusionsThe GS was a robust model to predict HRD and had broad clinical applications in predicting which patients will respond favourably to PARPi treatment.