bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating ecological niche modeling and rates of evolution to model geographic regions of mimetic color pattern selection
Authors: Muell Morgan R. , Brown Jason L. 
Published: March 2024

AbstractGeographic variation in natural selection derived from biotic sources is an important driver of trait evolution. The evolution of Müllerian mimicry is governed by dual biotic forces of frequency-dependent predator selection and densities of prey populations consisting of conspecifics or congeners. Difficulties in quantifying these biotic forces can lead to difficulties in delimiting and studying phenomena such as mimicry evolution. We explore the spatial distribution of morphotypes and identify areas of high mimetic selection using a novel combination of methods to generate maps of mimetic phenotype prevalence in Ranitomeya poison frogs, a group of frogs characterized by great phenotypic variation and multiple putative Müllerian mimic pairs. We categorized representative populations of all species into four major recurring color patterns observed in Ranitomeya: striped, spotted, redhead, and banded morphs. We calculated rates of phenotypic evolution for each of the 4 morphs separately and generated ecological niche models (ENMs) for all species. We then split our species-level ENMs on the basis of intraspecific variation in color pattern categorization, and weighted ENM layers by relative evolutionary rate to produce mimicry maps. Our phenotypic evolutionary rate analyses identified multiple significant shifts in rates of evolution for the spotted, redhead, and banded phenotypes. Our mimicry maps successfully identify all suspected and known areas of Müllerian mimicry selection in Ranitomeya from the literature and show geographic areas with a gradient of suitability for Müllerian mimicry surrounding mimic hotspots. This approach offers an effective hypothesis generation method for studying traits that are tied to geography by explicitly connecting evolutionary patterns of traits to trends in their geographic distribution, particularly in situations where there are unknowns about drivers of trait evolution.
The never-ending book: the role of new material and peer feedback in user-generated content production
Authors: Marchenko Maria , Sonnabend Hendrik 
Published: March 2024

AbstractThis paper studies the determinants of the voluntary provision of user-generated (online) content. Using data from the largest fanfiction website, we find that writers respond differently to new original material: writing times increase for the average writer and even more for the elite of prolific writers. We explain this finding with quality concerns. In addition, we find supportive evidence that community feedback encourages first-time contributors to continue publishing. However, for more established writers, community feedback has a rather dampening effect on text lengths and writing times. These effects are more pronounced for more informative community feedback (‘reviews’) than less informative community feedback (‘following’, ‘favoriting’).
Online car-sharing problem with variable booking times
Authors: Liu Haodong , Luo Kelin , Xu Yinfeng , Zhang Huili 
Published: March 2024

AbstractIn this paper, we address the problem of online car-sharing with variable booking times (CSV for short). In this scenario, customers submit ride requests, each specifying two important time parameters: the booking time and the pick-up time (start time), as well as two location parameters—the pick-up location and the drop-off location within a graph. For each request, it’s important to note that it must be booked before its scheduled start time. The booking time can fall within a specific interval prior to the request’s starting time. Additionally, each car is capable of serving only one request at any given time. The primary objective of the scheduler is to optimize the utilization of k cars to serve as many requests as possible. As requests arrive at their booking times, the scheduler faces an immediate decision: whether to accept or decline the request. This decision must be made promptly upon request submission, precisely at the booking time. We prove that no deterministic online algorithm can achieve a competitive ratio smaller than $$L+1$$

L
+
1

even on a special case of a path (where L denotes the ratio between the largest and the smallest request travel time). For general graphs, we give a Greedy Algorithm that achieves $$(3L+1)$$

(
3
L
+
1
)

-competitive ratio for CSV. We also give a Parted Greedy Algorithm with competitive ratio $$(\frac{5}{2}L+10)$$

(

5
2

L
+
10
)

when the number of cars k is no less than $$\frac{5}{4}L+20$$

5
4

L
+
20

; for CSV on a special case of a path, the competitive ratio of Parted Greedy Algorithm is $$(2L+10)$$

(
2
L
+
10
)

when $$k\ge L+20$$

k
≥
L
+
20

.
How and When Resilience can Boost Student Academic Performance: A Weekly Diary Study on the Roles of Self-Regulation Behaviors, Grit, and Social Support
Authors: Li Kongqi , Wang Huatian , Siu Oi-Ling , Yu Hong 
Published: March 2024

AbstractResilience has been found to have positive impacts on college students’ well-being and mental health. However, we still lack knowledge on how and under what conditions resilience can help to facilitate college students’ academic performance. Based on the conservation of resources theory, this study investigated how resilience could be positively linked to college students’ academic performance through increasing self-regulation behaviors, and to what extent this indirect effect could be strengthened by individual grit and social support. Using 74 Chinese college students with a four-week longitudinal survey (296 observations in total), we confirmed our hypotheses. The results of multilevel moderated mediation showed that weekly self-regulation behaviors mediated the positive relationship between weekly resilience and college students’ weekly academic performance and that this positive indirect effect became stronger for those who had a higher level of grit and perceived a higher level of social support. Further, we found that weekly resilience was also positively related to the next week’s self-regulation behaviors, which in turn, increased next week’s academic performance. Social support can strengthen such a carry-over impact of resilience on next week’s self-regulation behaviors (but not for grit). To conclude, our study uncovered the short-term fluctuations of resilience and its impacts on students’ study outcomes. We highlight the important roles of personal resources (grit) and social resources (social support) that can leverage the positive effects of resilience on students’ weekly basis.
Parenting, Coparenting, and Adolescents’ Sense of Autonomy and Belonging After Divorce
Authors: Rejaän Zoë , van der Valk Inge , Schrama Wendy , Branje Susan 
Published: March 2024

AbstractAlthough there is ample evidence on the importance of experiencing autonomy and belonging for positive adolescent development and the supporting role of parents in this regard, most knowledge stems from intact families. As many youth grow up with divorced parents, this study tested longitudinal links between warm and autonomy supportive parenting and coparental cooperation and conflict on the one hand, and adolescents’ post-divorce autonomy and belonging on the other. Data consisted of three-wave self-report data of 191 Dutch adolescents (Mage = 14.36, 61.3% girls) and 227 divorced parents (Mage = 46.08, 74% mothers). Random-intercept cross-lagged panel models showed stable between-family differences, with autonomy relating positively to coparenting and parental autonomy support, and belongingness associating positively solely with parenting. No significant effects were found within families, meaning that changes in (co)parental behaviors did not predict adolescents’ experiences of autonomy and belonging or vice versa.
Deep Embedding Clustering Based on
Residual Autoencoder
Authors: Li Mengli , Cao Chao , Li Chungui , Yang Shuhong 
Published: March 2024

AbstractClustering algorithm is
one of the most widely used and influential analysis techniques.
With the advent of deep learning, deep embedding clustering
algorithms have rapidly evolved and yield promising results. Much of
the success of these algorithms depends on the potential expression
captured by the autoencoder network. Therefore, the quality of the
potential expression directly determines the algorithm’s
performance. In view of this, researchers have proposed many
improvements. Although the performance has been slightly improved,
they all have one shortcoming, that is, too much emphasis is placed
on the original data reconstruction ability during the process of
feature expression, which greatly limits the further expression of
potential features according to specific clustering tasks. Moreover,
there is a large amount of noise in the original data, so blindly
emphasizing reconstruction will only backfire. Hence, we
innovatively propose a deep embedding clustering algorithm based on
residual autoencoder (DECRA) after in-depth research. Specifically,
a novel autoencoder network with residual structure is proposed and
introduced into deep embedded clustering tasks. The network
introduces an adaptive weight layer in feature representation z,
which can make it have good robustness, generalization for specific
tasks, and adaptive learning of better feature embeddings according
to category classification. In this paper, the reasons for the
validity of this structure are explained theoretically, and
comprehensive experiments on six benchmark datasets including
various types show that the clustering performance of the DECRA is
very competitive and significantly superior to the most advanced
methods.
Freedom of choice impact on country-specific liquidity commonality
Authors: Jain Pawan , Mekhaimer Mohamed , Spahr Ronald W. , Sunderman Mark A. 
Published: March 2024

AbstractWe use three facets of freedom of choice (opportunity, decisional autonomy, and immunity from interference) to develop a freedom of choice index for 46 countries and test its impact on commonality in liquidity. We find that the three aspects of individual freedom of choice are negatively related to country-specific market liquidity commonality. Building on Sen’s (1993) theoretical framework, we document that in the presence of opportunities for making independent choices, immunity from encroaching activities, and decisional autonomy, investors tend to show less correlated trading decisions, measured by the levels of liquidity co-movement. To address possible endogeneity bias, we use 9/11 and country-level terrorist attacks as an exogenous source of variations to personal freedom of choice. We find that higher levels of perceived threats in a country restrain personal freedoms and tend to reduce freedom of choice effects on liquidity commonality. Our results are robust to alternative explanations, freedom of choice definitions, and model specifications.
Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot
Authors: Eley Catherine L. , Palaniappan Varun , Carter Abbie , Sogaolu Opeyemi , Horwood James , Davies Michael , Torkington Jared , Ansell James 
Published: March 2024

AbstractRobotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for setting up the CMR Versius in the operating room. This single-blinded randomized control trial randomised medical students with no prior robotic experience using an online randomiser. The intervention group received IVR headset training, and the control group, e-learning modules. Assessors were blinded to participant group. Primary endpoint was overall score (OS): Likert-scale 1–5: 1 reflecting independent performance, with increasing verbal prompts to a maximum score of 5, requiring physical assistance to complete the task. Secondary endpoints included task scores, time, inter-rater reliability, and concordance with participant confidence scores. Statistical analysis was performed using IBM SPSS Version 27. Of 23 participants analysed, 11 received IVR and 12 received e-learning. The median OS was lower in the IVR group than the e-learning group 53.5 vs 84.5 (p < 0.001). VR recipients performed tasks independently more frequently and required less physical assistance than e-learning participants (p < 0.001). There was no significant difference in time to completion (p = 0.880). Self-assessed confidence scores and assessor scores differed for e-learning participants (p = 0.008), though not IVR participants (p = 0.607). IVR learning is more effective than e-learning for preparing robot-naïve individuals in operating room set-up of the CMR Versius. It offers a feasible, realistic, and accessible option in resource-limited settings and changing dynamics of operating theatre teams. Ongoing deliberate practice, however, is still necessary for achieving optimal performance. ISCRTN Number 10064213.
Prospects for liquid biopsy using microRNA and extracellular vesicles in breast cancer
Authors: Ochiya Takahiro , Hashimoto Kazuki , Shimomura Akihiko 
Published: March 2024

AbstractAmong the analytes circulating in body fluids, microRNAs, a type of non-coding RNA and known to exist 2655 in primates, have attracted attention as a novel biomarker for cancer screening. MicroRNAs are signaling molecules with important gene expression regulatory functions that can simultaneously control many gene functions and multiple different pathways in living organisms. These microRNAs are transported in extracellular vesicles (EVs), which are lipid bilayers with 50–150 nm in diameter, and are used as communication tools between cells. Furthermore, the EVs that carry these microRNAs circulate in the bloodstream and have other important implications for understanding the pathogenesis and diagnosis of breast cancer. The greatest benefit from cancer screening is the reduction in breast cancer mortality rate through early detection. Other benefits include reduced incidence of breast cancer, improved quality of life, prognosis prediction, contribution to personalized medicine, and relative healthcare cost containment. This paper outlines the latest developments in liquid biopsy for breast cancer, especially focusing on microRNA and EV diagnostics.
A memetic algorithm for a real-world dynamic pickup and delivery problem
Authors: Zhou Ying , Kong Lingjing , Yan Lijun , Liu Yunxia , Wang Hui 
Published: March 2024

AbstractThe dynamic pickup and delivery problem (DPDP) is essential in supply chain management and logistics. In this study, we consider a real-world DPDP from daily delivery scenarios of a company. In the problem, orders are generated randomly and released periodically. The orders should be completed as soon as possible to minimize the cost. We propose a novel memetic algorithm (MA) to address this problem. The proposed MA consists of a genetic algorithm and a local search strategy that periodically solves a static pickup and delivery problem when new orders are released. We have conducted extensive experiments on 64 real-world instances to assess the performance of our method. Three state-of-the-art algorithms are chosen as the baseline algorithms. Experimental results demonstrate the effectiveness of the MA in solving the real-world DPDP.
The study of mineral distribution using hyperspectral Hyperion data along the shores of Lake Salda/Türkiye
Authors: Akgül Mehmet Ali , Ural Suphi 
Published: March 2024

AbstractLake Salda is considered the most similar region on Earth to search for evidence of life on Mars, and its shoreline is home to microbialites containing some of the oldest known fossilized records of life on our planet. Understanding the historical process of Mars is also crucial for predicting the future of our planet, given its transition from a watery world to an arid one. In mineralogical studies to be carried out in sensitive areas such as private protected areas, it is a priority not to damage the area, and mineralogical research using remote sensing methods is frequently used in such studies. In this study, the mineralogical characteristics of the geological formations in and around Kocaadalar Burnu peninsula, located in the southwest of Lake Salda, were examined using remote sensing techniques. Mineral studies of Lake Salda were conducted using data from the Hyperion data of the Earth Observation-1 (EO-1) satellite, which can detect in 220 bands between 357 and 2576 nm wavelengths which is capable of hyperspectral sensing. The EO-1 satellite, the first spacecraft of NASA’s New Millennium Programme, which operated successfully from its launch in 2000 until the end of its mission in 2017, carried the multispectral Advanced Land Imager and LEISA Atmospheric Corrector sensors, in addition to the Hyperion hyperspectral sensor. The Hyperspectral Material Identification tool in the Tactical Hyperspectral Operations Resource module of the ENVI software, the United States Geological Survey spectral library, and the Adaptive Coherence Estimator algorithm were used in the study. According to the results of this study conducted on the shores of Lake Salda, in addition to the hydromagnesite mineral, the existence of which was previously detected by various researchers, trona, vermiculite, rivadavite and borate minerals such as ulexite, tincalconite and colemanite were also detected. The results of this study have shown that remote sensing methods can make significant contributions to research in special protected areas such as Lake Salda. It is thought that the presence of trona and boron minerals in the region will contribute positively to the understanding of the historical process of Salda Lake.
Experimental data-driven model development for ESP failure diagnosis based on the principal component analysis
Authors: Song Youngsoo , Jun Sungjun , Nguyen Tan C. , Wang Jihoon 
Published: March 2024

AbstractThe reliable diagnosis of electrical submersible pump (ESP) failure is a vital process for establishing of the optimal production strategies and achieving minimum development costs. Although traditional ammeter charts and nodal analysis are commonly used for ESP failure diagnosis, the techniques have limitations, as it requires manpower and is difficult to diagnose the failure in real-time. Therefore, in this study, ESP failure diagnosis was performed using the principal component analysis (PCA). First, 11 types of 9,955 pieces of data were acquired from a newly constructed ESP experimental system for 300 days. During the experimental period, ESP failure occurred twice with a significant drop in performance: first on day 112 and second on day 271. The PCA model was constructed with the 8,928 pieces of normal status data and tested with the 1,027 pieces of normal and failure status data. Three principal components were extracted from the measured data to identify the patterns of the normal and failure status. Based on the logistic regression method to analyze the efficiency of the PCA model, it was found out that the developed PCA model showed an accuracy of 93.3%. Therefore, the PCA model was found to be reliable and effective for the ESP failure diagnosis and performance analysis.
Tyre heat of multi-wheel bogie undercarriage at touchdown
Authors: Li Yu , Wang Weiji 
Published: March 2024

AbstractAlmost all studies on tyre heat during aircraft touchdown are based on the assumption that the tyres touch the ground simultaneously, and the aircraft’s load is evenly distributed among each tyre. However, the unique design of multi-wheel bogie undercarriage on wide-body aircraft gives the tyres a specific touchdown sequence. The friction, heat, and thermal wear they face are entirely different. Therefore, this study establishes a model to simulate the dynamics of the multi-wheel bogie undercarriage and relies on Laplace’s equation to calculate the treads’ heat generation and temperature rise. The innovative three-dimensional tread temperature display method can further determine the tyre’s thermal wear. It is found that faster landing increases tyre heat by extending the friction time and distance for all tyres. Softer landing increases the independent rotation time of the early-touched tyres, thus significantly raising the tread temperature due to high frictional power density around the tread centreline areas.
Outcomes of severely injured pregnant trauma patients: a multicenter analysis
Authors: Awad Kyrillos G. , Nahmias Jeffry , Aryan Negaar , Lucas Alexa N. , Fierro Nicole , Dhillon Navpreet K. , Ley Eric J. , Smith Jennifer , Burruss Sigrid , Dahan Alden , Johnson Arianne , Ganske William , Biffl Walter L. , Bayat Dunya , Castelo Matthew , Wintz Diane , Schaffer Kathryn B. , Zheng Dennis J. , Tillou Areti , Coimbra Raul , Tuli Rahul , Santorelli Jarrett E. , Emigh Brent , Schellenberg Morgan , Inaba Kenji , Duncan Thomas K. , Diaz Graal , Tay-Lasso Erika , Zezoff Danielle C. , Grigorian Areg 
Published: March 2024

AbstractNearly 10% of pregnant women suffer traumatic injury. Clinical outcomes for pregnant trauma patients (PTPs) with severe injuries have not been well studied. We sought to describe outcomes for PTPs presenting with severe injuries, hypothesizing that PTPs with severe injuries will have higher rates of complications and mortality compared to less injured PTPs. A post-hoc analysis of a multi-institutional retrospective study at 12 Level-I/II trauma centers was performed. Patients were stratified into severely injured (injury severity score [ISS] > 15) and not severely injured (ISS < 15) and compared with bivariate analyses. From 950 patients, 32 (3.4%) had severe injuries. Compared to non-severely injured PTPs, severely injured PTPs were of similar maternal age but had younger gestational age (21 vs 26 weeks, p = 0.009). Penetrating trauma was more common in the severely injured cohort (15.6% vs 1.4%, p < 0.001). The severely injured cohort more often underwent an operation (68.8% vs 3.8%, p < 0.001), including a hysterectomy (6.3% vs 0.3%, p < 0.001). The severely injured group had higher rates of complications (34.4% vs 0.9%, p < 0.001), mortality (15.6% vs 0.1%, p < 0.001), a higher rate of fetal delivery (37.5% vs. 6.0%, p < 0.001) and resuscitative hysterotomy (9.4% vs. 0%, p < 0.001). Only approximately 3% of PTPs were severely injured. However, severely injured PTPs had a nearly 40% rate of fetal delivery as well as increased complications and mortality. This included a resuscitative hysterotomy rate of nearly 10%. Significant vigilance must remain when caring for this population.