bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical Analysis of Data Repeatability Measures
Authors: Wang Zeyi , Bridgeford Eric , Wang Shangsi , Vogelstein Joshua T. , Caffo Brian 
Published: August 2024

SummaryThe advent of modern data collection and processing techniques has seen the size, scale and complexity of data grow exponentially. A seminal step in leveraging these rich datasets for downstream inference is understanding the characteristics of the data which are repeatable—the aspects of the data that are able to be identified under duplicated analyses. Conflictingly, the utility of traditional repeatability measures, such as the intra‐class correlation coefficient, under these settings is limited. In recent work, novel data repeatability measures have been introduced in the context where a set of subjects are measured twice or more, including: fingerprinting, rank sums and generalisations of the intra‐class correlation coefficient. However, the relationships between, and the best practices among, these measures remains largely unknown. In this manuscript, we formalise a novel repeatability measure, discriminability. We show that it is deterministically linked with the intra‐class correlation coefficients under univariate random effect models and has the desired property of optimal accuracy for inferential tasks using multivariate measurements. Additionally, we overview and systematically compare existing repeatability statistics with discriminability, using both theoretical results and simulations. We show that the rank sum statistic is deterministically linked to a consistent estimator of discriminability. The statistical power of permutation tests derived from these measures are compared numerically under Gaussian and non‐Gaussian settings, with and without simulated batch effects. Motivated by both theoretical and empirical results, we provide methodological recommendations for each benchmark setting to serve as a resource for future analyses. We believe these recommendations will play an important role towards improving repeatability in fields such as functional magnetic resonance imaging, genomics, pharmacology and more.
Optimal drone deployment for cost‐effective and sustainable last‐mile delivery operations
Authors: Kumar Gaurav , Tanvir Oqais , Kumar Akhilesh , Goswami Mohit 
Published: August 2024

AbstractDelivery by drones holds significant potential to solve issues (such as high costs, access to remote areas, etc.) faced in last‐mile delivery operations, particularly in the e‐commerce industry. Still, it involves complex issues such as multi‐trip operations, energy estimation, and battery recharge planning. A sound drone delivery problem entails an optimal drone deployment plan with routing details at the lowest possible cost. To this end, this study focuses on formulating a delivery problem that involves multi‐trip drone routing, energy optimization, and travel time optimization problems where energy consumption by drones is modeled as a non‐linear function. We develop a mixed integer non‐linear programming model as an integrated optimization model. This model aims to: (a) maximize revenue by meeting demand completely without leaving idle drones, (b) optimize energy use by drones, and (c) minimize the required drone fleet size for an optimal plan. The proposed model is solved using the Gurobi Solver, which employs data supplied by a well‐known e‐commerce firm. We introduce a two‐phase heuristic solution methodology to tackle larger networks’ complexities. This method consists of the clustering phase (K‐means clustering method) and the optimization phase. The robustness of the developed mathematical modeling is demonstrated by testing with varied large problem instances. The evaluation shows that expanding destination options boosts drone demand until saturation, necessitating more drones. Efficient route planning and fleet adjustments are crucial for meeting rising demand and satisfying customers amidst dense clustering. This model helps e‐commerce manage daily last‐mile drone deliveries and anticipate future growth.
Impact of intrapartum quality improvement interventions on stillbirths and other adverse pregnancy outcomes: A protocol for systematic review and meta‐analysis
Authors: Gopinathan Preetha , Tripathi Vinay , Swain Sumant , Lakshman Neha , Tolani Himanshu , Prasad Jagdish , Prajapat Manish , Bindal Eshika 
Published: August 2024

AbstractBackgroundStillbirths are a major global health concern. Half of stillbirths occur during intrapartum period, mostly in low‐ and middle‐income countries of sub‐Saharan Africa and South Asia. Achieving a stillbirth rate of less than 12 per 1000 births by 2030 is the global target of Every Newborn Action Plan and Sustainable Development Goals. Evidence suggests that improving intrapartum quality of care can help reduce stillbirths and other adverse pregnancy outcomes. This study will explore whether quality improvement (QI) packages at intrapartum care points can reduce stillbirths and other outcomes such as maternal and neonatal mortality.MethodsWe will conduct a systematic literature review and meta‐analysis. Comprehensive search strategy will be developed for databases PubMed, Web of Science, ScienceDirect, ProQuest, Cochrane and China National Knowledge Infrastructure. We will include randomized controlled trials, controlled non‐randomized trials, controlled clinical trials, interrupted time series, cohort studies, case–control and nested case–control studies which assess the impact of QI interventions at intrapartum points of care on stillbirths and other adverse pregnancy outcomes. We will search grey literature such as unpublished research studies, dissertations and unfinished trials. English and non‐English language articles will be included to avoid language bias. We will also evaluate reporting quality and risk of bias. Sensitivity tests will be carried out for heterogeneity. Pooled estimates of effect sizes will be computed with random‐effects models. Supplementation of the quantitative synthesis with a qualitative narrative synthesis would be added, if deemed necessary. We will explore publication bias using funnel plot and Egger's regression test will be used for evaluation, if needed.DiscussionWe will report pooled effectiveness of different intrapartum QI interventions across multiple settings in averting stillbirths and other adverse outcomes such as maternal mortality and neonatal mortality.
Four cancer cases with pathological germline variant RAD51D c.270_271dup
Authors: Ishihara Eiko , Matsubayashi Hiroyuki , Nishimura Seiichiro , Isaka Mitsuhiro , Konno Hayato , Goto Seiya , Yamaguchi Ken , Urakami Kenichi 
Published: August 2024

AbstractPathological germline variants (PGVs) of RAD51D increase the risk of breast and ovarian cancer. In East Asia, c.270_271dup is the most frequently detected PGV of RAD51D; however, only a few cases have been reported in Japan. We report four cancer cases with a germline RAD51D c.270_271dup PGV. Three of them (lung cancer: 2, oral cancer: 1) were incidentally identified by whole genome sequencing in patients negative for the associated cancer histories, homologous recombination (HR) deficiency, or a second hit of RAD51D in the cancer DNA. For genetic counseling, we provided information on surveillance and cascade testing based on Western guidelines. The PGVs of moderate‐risk HR‐related genes are difficult to detect based on phenotype, especially in male‐predominant pedigrees. The current spread of cancer genomic analysis will increase opportunities for incidental variant identification. The establishment of Japanese guidelines is expected to aid in the management of PGV carriers of moderate‐risk genes.
Intersectional bonds: Delinquency, arrest, and changing family social capital during adolescence
Authors: DeMarco Laura M. , Leppard Tom R. , Lindsay Sadé L. 
Published: August 2024

AbstractObjectiveThis study uses an intersectional approach to examine whether bonding and bridging family social capital change after adolescent delinquency and arrest.BackgroundFamily social capital (the resources and energy investments parents make in their children) has important implications for numerous youth outcomes. To date, little research has examined how stressful behaviors (like delinquency) and life events (such as arrest) strain or strengthen parent–child relationships, particularly across Black, White, and Hispanic families.MethodsDrawing on data from the National Longitudinal Survey of Youth, 1997 cohort, the authors use fixed effects, dynamic panel, and correlated random effects models to analyze how delinquent behavior and arrest impact bonding and bridging forms of family social capital in adolescence. Stratified models by race/ethnicity and gender test whether the effects vary across groups.ResultsResults show that delinquency is negatively associated with bonding and bridging family social capital. Black girls experienced the sharpest reduction in family social capital resulting from delinquent behavior. Arrest was significantly associated with decreased bridging capital for Hispanic boys and increased bridging capital for Black girls.ConclusionDelinquency creates stress for parents and reduces investments in children, especially for Black girls. The effects of arrest vary by race and gender.ImplicationsThis study demonstrates the dynamism of family social capital and the impact of adolescent delinquency and arrest on parent–child ties, providing insights into the racialized and gendered development of family social capital amid heightened concern about youth deviance and incarceration.
Seating accuracy of removable partial denture frameworks fabricated by different digital workflows in comparison to conventional workflow
Authors: Korkes Andrea , Jomaa Janine , Kavouris Anastasios , Lalani Tahyr , King Phillip , Lee Samantha , Li Hongyi , Li Aixi , Khuu Wilson , Law Ka Ho Jesper , Abduo Jaafar 
Published: August 2024

AbstractPurposeTo evaluate the seating accuracy of removable partial denture (RPD) frameworks fabricated by two digital workflows involving selective laser melting (SLM) in comparison to the conventional workflow.Materials and MethodsA Kennedy class III modification 1 partially edentulous mandibular arch was used as a master model. Three RPD framework groups were included: (1) a conventional workflow group with conventional impression and casting (CC), (2) a partial digital workflow group with conventional impression and digital fabrication (CD), and (3) a complete digital workflow group with digital impression and digital fabrication (DD). A total of 10 frameworks were produced for each group. The marginal gaps at the occlusal rests, retention arms, and reciprocating arms were measured by a traveling microscope. The data were analyzed with the one‐way analysis of variance test.ResultsAt the framework level, the most superior fit was observed for the CD group (79.5 µm) followed by DD (85.3 µm) and CC (114.2 µm) groups. The CD and DD groups were significantly superior to CC (p < 0.001). This fit pattern was consistent for the retention and reciprocating arms, while the occlusal rest fit was similar among all the groups.ConclusionsThe SLM frameworks had a promising seating accuracy in comparison to conventional frameworks. The type of impression, conventional or digital, did not affect the accuracy of SLM frameworks. The differences observed in the present study are likely to be of minimal clinical significance.
Understanding Community Perceptions on the Role of Schools in Youth Mental Health
Authors: Neher Taylor , Smith Megan , Rossetto Kelly , Mujak Irma , Romero Alyssa , Griffin Kaydin 
Published: August 2024

ABSTRACTBACKGROUNDYouth mental health rates of depression and anxiety continue to climb. Schools have a role to play to support youth mental health but often struggle to navigate community expectations.METHODSFocus groups (n = 17) were conducted with over 100 participants to understand community perceptions on the role of schools.RESULTSThree themes emerged around what schools should be doing: (1) provide accurate education about mental health, (2) create mental health promoting environments that positively supports young people, and (3) act as a common space to bring community members and organizations together for their young people.IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITYSchool professionals and systems should be equipped to adequately address youth mental health. The current US institutional response to this crisis is underdeveloped and exacerbates equity issues and health outcome disparities. Schools need institutional support for addressing mental health in ways that incorporate building a shared understanding with families and providing efforts to prevent and detect rather than just treat mental health.CONCLUSIONSSchools should work with their communities to promote shared understanding and accountability for all to engage in building rich protective environments that promote mental well‐being for kids in their care.
Spontaneous enteric nervous system activity generates contractile patterns prior to maturation of gastrointestinal motility
Authors: Dershowitz Lori B. , Bueno Garcia Hassler , Perley Andrew S. , Coleman Todd P. , Kaltschmidt Julia A. 
Published: August 2024

AbstractBackgroundSpontaneous neuronal network activity is essential to the functional maturation of central and peripheral circuits, yet whether this is a feature of enteric nervous system development has yet to be established. Although enteric neurons are known exhibit electrophysiological properties early in embryonic development, no connection has been drawn between this neuronal activity and the development of gastrointestinal (GI) motility patterns.MethodsWe use ex vivo GI motility assays with newly developed unbiased computational analyses to identify GI motility patterns across mouse embryonic development.Key ResultsWe find a previously unknown pattern of neurogenic contractions termed “clustered ripples” that arises spontaneously at embryonic day 16.5, an age earlier than any identified mature GI motility patterns. We further show that these contractions are driven by nicotinic cholinergic signaling.Conclusions & InferencesClustered ripples are neurogenic contractile activity that arise from spontaneous ENS activity and precede all known forms of neurogenic GI motility. This earliest motility pattern requires nicotinic cholinergic signaling, which may inform pharmacology for enhancing GI motility in preterm infants.
Cystic fibrosis dermatitis arthritis syndrome: A series of four cases
Authors: Schwartzman Gabrielle , Zlotoff Barrett J. , Gru Alejandro A. , Guffey Darren J. 
Published: August 2024

AbstractDermatologic manifestations of cystic fibrosis (CF) include nutrient deficiency dermatoses, vasculitis, transient reactive papulotranslucent acrokeratodema, digital clubbing, and increased rates of atopy and drug reactions. Few cases of a characteristic eruption in patients with episodic arthritis of CF have been described with prior reports primarily occurring outside of the dermatology literature. We report four cases consistent with this presentation to add to the literature and propose a new and unifying name to recognize this entity as cystic fibrosis dermatitis arthritis syndrome (CF‐DAS). Clinical suspicion should remain high in young female patients with cystic fibrosis presenting with episodic joint pain and rash, independent of pulmonary exacerbations.
Exploring neuronal mechanisms of osteosarcopenia in older adults
Authors: Karacan Ilhan , Türker Kemal Sıtkı 
Published: August 2024

AbstractUntil recently, research on the pathogenesis and treatment of osteoporosis and sarcopenia has primarily focused on local and systemic humoral mechanisms, often overlooking neuronal mechanisms. However, there is a growing body of literature on the neuronal regulation of bone and skeletal muscle structure and function, which may provide insights into the pathogenesis of osteosarcopenia. This review aims to integrate these neuronal regulatory mechanisms to form a comprehensive understanding and inspire future research that could uncover novel strategies for preventing and treating osteosarcopenia. Specifically, the review explores the functional adaptation of weight‐bearing bone to mechanical loading throughout evolutionary development, from Wolff's law and Frost's mechanostat theory to the mosaic hypothesis, which emphasizes neuronal regulation. The recently introduced bone osteoregulation reflex points to the importance of the osteocytic mechanoreceptive network as a receptor in this neuronal regulation mechanism. Finally, the review focuses on the bone myoregulation reflex, which is known as a mechanism by which bone loading regulates muscle functions neuronally. Considering the ageing‐related regressive changes in the nerve fibres that provide both structural and functional regulation in bone and skeletal muscle tissue and the bone and muscle tissues they innervate, it is suggested that neuronal mechanisms might play a central role in explaining osteosarcopenia in older adults.
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A Monte Carlo Method to Decision-Making in Maintenance Strategies
Authors: Cheikh Khamiss , Boudi EL Mostapha , Rabi Rabi , Mokhliss Hamza 
Published: August 2024

Abstract
Health prognosis is an advanced approach for anticipating the future status of systems, structures, and components. While it is accepted as an important step in boosting maintenance performance and resilience of a system, the subject of post-prognosis maintenance decision-making remains unsettled. To address this problem, we present one of the most effective economic criteria for concurrently assessing the performance and resilience of the time-based and condition-based maintenance methods. This criteria is a linear combination of the asymptotic average cost per unit of time and the standard deviation of the mean cost per renewal cycle of maintenance charges per renewal cycle. Ultimately, we will evaluate these two maintenance procedures to select the one that gives the optimum mix of lifetime and robustness for our system. We will also study how to fine-tune our new criteria to obtain the ideal balance of performance and robustness for two systems, the first is a system with changeable behavior, while the second one presents a system with more or less stable behavior. The inclusion of the Monte Carlo method improves the comparative study of maintenance methods, delivering insights into the performance and resilience of each adaptation in decision-making.
An Evaluation of Design Wave Selection Methods for Floating Offshore Structure Design
Authors: Kim Youngkook , Yu Lei 
Published: August 2024

Abstract
For floating offshore structures, the structure design should consider site-specific environmental loads in a target return period, typically 100-year (annual probability of occurrence of 10−2). The equivalent design wave (EDW) approach has been a popular method to represent long-term extreme responses in a site-specific environment. Although the method is convenient and efficient, the EDW approach is a great simplification that represents extreme responses with a number of wave scenarios. Therefore, the EDWs have to be chosen with great care. The conventional method to choose EDWs is based on the heading angles and the wave frequencies at the peak of the response amplitude operators (RAOs). This approach works well for trading vessels but may not be the case for offshore applications where equal probability of occurrences cannot be assumed for every wave heading angle.
The EDW selection determines the load combinations which are applied not only to structural analysis but also to prescriptive local scantling calculations, therefore, an appropriate method should be adopted so that realistic wave scenarios can be applied to the structural design of offshore structures. In this study, several EDW selection methods are reviewed and evaluated for the rational design of floating offshore units.
The Effect of Extra Mass Moment of Inertia on S-Shaped Vertical Axis Autorotation Current Turbine (VAACT)
Authors: Soares Rodrigo B. , Fernandes Antonio C. , S. Sales Junior Joel 
Published: August 2024

Abstract
This study examines how the extra mass moment of inertia affects the performance of the S-shaped Vertical Axis Autorotation Current Turbine (VAACT). Tests were performed at the Laboratory of Waves and Currents (LOC-COPPE/UFRJ) to obtain the efficiency curves of this geometry. The test facility has dimensions of 22 meters in length, 1.4 meters in width, and 0.5 meters in water depth, resulting in a blockage ratio of 21%. The experiments were performed by varying the moment of inertia from 0.0135 kg · m2 to 3.0 kg · m2 at Reynolds numbers ranging from 30,000 to 135,000. The power output was estimated using a weight-lifting approach, where the power is calculated by the time derivative of the weight’s potential energy. The results show that additional mass moment of inertia can improve the turbine’s power harvesting by about 60%. Moreover, the tests indicate that increasing the mass moment of inertia stabilizes VAACT’s dynamics and enables it to operate at the design tip speed ratio. Additionally, the analysis reveals that the turbine’s efficiency can reach 25% when operating at a tip speed ratio of 1.5, a Reynolds number of 90,000, and a dimensionless moment of inertia of 1.160. However, the turbine’s performance at higher Reynolds numbers is poor due to the high vortex-shedding observed in the wake.
Active Flow Control of Flow Over a Stationary Cylinder Using a Flapping Rod at Low Reynolds Number
Authors: Chua Ming Han , Liu Bin 
Published: August 2024

Abstract
A numerical investigation of the active flow control mechanism of flow over a stationary circular cylinder using a flapping rod was conducted at low Reynolds number. The Galerkin-least-square (GLS) stabilized Finite Element formulation in Arbitrary Lagrangian-Eulerian (ALE) description is employed to investigate the fluid dynamics and structural motions in the simulations. A rotating dynamic mesh model is utilized to precisely trace the flapping dynamics of the control rod in the wake downstream. A control rod of very small diameter (d = 0.1) is used as an active flow control mechanism and flaps behind a cylinder (D = 1.0) in an orbital manner at a range of frequencies, amplitudes, and distance. The primary objective of this study is to investigate the effectiveness of this flapping rod to enhance the structural stability of the cylinder subject to hydrodynamic forces. The results show that this active flow control mechanism, flapping control rod, can effectively change the wake modes downstream and enhance the structural stability by minimizing the fluctuation of lift force.
J-Lay Installation of Steel Catenary Risers for Lingshui 17-2 Project
Authors: Hou Jing , Cheng Yongming , Yu Chenteh Alan , Zhang Cheng 
Published: August 2024

Abstract
CNOOC Lingshui 17-2 (termed LS17-2) was the first regional ultradeep water project in South China sea. The field development encompasses a deep draft semi-submersible for processing gas that is produced and exported through pipelines and Steel Catenary Risers (SCRs). This paper presents J-lay installation of SCRs for LS 17-2 project.
LS17-2 commenced gas production successfully in June of 2021. The J-lay installation was the method of choice for the installation of 10″, 12″, and 18″ risers. This paper first introduces the layout and description of SCRs for LS17-2 project. With the site-specific metocean design basis, this paper presents a J-lay installation design, installation procedures, installation analysis of key steps, and inspection after installation of the SCRs for the CNOOC Lingshui 17-2 field.
Using the field’s 12″ SCRs as an example, this paper discusses the key parameters of the field, installation procedures, and the installation analysis to ensure that the structural integrity of riser during laydown, handover, and pull-in is maintained. The maximum top tension and lifting load are also computed to check against load capacity of installation equipment.
This paper finally summarized the findings for J-lay installation of risers for LS 17-2 project. The lessons learned from the installation are also discussed.