bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of deceased and living kidney donor with lithiasis: a multicenter retrospective study on behalf of the renal transplant group of the Spanish urological association
Authors: Sierra Alba , Etcheverry Begoña , Alvarez-Maestro Mario , López Juan Manuel , Fiol Maria , Torrecilla Carlos , Vigués Francesc , Martínez Carmen , Carbonell Enric , Martinez-Perez Salvador , Alcaraz Antonio , Luque Maria Pilar , Musquera Mireia 
Published: June 2024

Abstract
Background
To maximize the availability of suitable grafts and ensure effective management, several reports have demonstrated successful outcomes when using kidney grafts with urolithiasis. This multicenter study reports on the management and long-term outcomes of kidney transplantation using renal grafts with lithiasis.

Methods
Retrospective data from three Spanish hospitals were analyzed for kidney transplants involving grafts with nephrolithiasis performed between December 2009 and August 2023. The study included adult patients, excluding those with incomplete records. It evaluated stone characteristics, complications, and outcomes in recipients and in living kidney donors.

Results
Out of 38 analyzed kidney transplants, 57.9% were cadaveric and 42.1% were from living kidney donors. Most diagnoses were incidental during donor evaluation, with an average stone size of 7.06 mm. After follow-up (median 26 months), all recipients but one had functioning grafts, and there were no stone recurrences in both recipients and living kidney donors. Conservative management was adopted in 28 cases, while 10 cases required ex-vivo flexible ureterorenoscopy for stone removal. Following conservative management, 5 patients needed additional treatments for stone-related events.

Conclusions
Kidneys with lithiasis can be considered for transplantation in selected cases, resulting in good functional outcomes with no stone recurrence in recipients or living donors.

Graphical Abstract
Evidence-Based Crossword Puzzles for Health Professions Education: A Systematic Review
Authors: Arnold Matthew , Tan Sheryn , Pakos Tiani , Stretton Brandon , Kovoor Joshua , Gupta Aashray , Thomas Josephine , Bacchi Stephen 
Published: June 2024

AbstractdataCrossword puzzles have been utilised as a means of health professions education (HPE) gamification. A systematic review conducted in accordance with PRISMA guidelines was performed to evaluate the educational impact and describe the characteristics of crosswords in HPE contexts. Twenty-nine studies fulfilled inclusion criteria. Crossword puzzles are an enjoyable learning activity and provide positive educational impact. The available evidence suggests crossword puzzles increase student knowledge on objective measures.
Going P(u)BLIQ: Successfully Transitioning Undergraduate Medical Students from Problem-Based Learning to Inquiry Case Learning Through a Novel Hybrid Approach
Authors: Griffin Daniel P. , Ortega Maria , O’Malley Chasity B. 
Published: June 2024

Abstract
Purpose
Problem-based learning (PBL) is an established learning method in medical education that uses small groups to address a “problem” in the form of a patient’s medical condition. Compared to lectures, there is compelling evidence that PBL performs better in numerous areas including student basic knowledge and satisfaction. Inquiry case (IQ) learning is a modified form of PBL, which can be described as faster-paced and requires more student responsibility. Here, a novel strategy to transition students from the PBL to IQ format is introduced that can be adopted by other programs engaging in PBL.

Method
Students already engaged in PBL were introduced to the IQ format through participation in a series of hybrid PBL/IQ cases. A voluntary, anonymous survey about the hybrid system was conducted with two cohorts of students. The timing of the survey was after engaging in IQ learning following completion of the PBL/IQ hybrid system.

Results
Eighty-seven of the 103 (84.47%) students completed the survey. Regarding the approach to IQ learning, students in a leader position (66.28%, n = 57) used journal articles as resources more than non-leaders (54.65%, n = 47) (p < 0.05). Qualitative data analysis provided insights into the biggest challenges students face as IQ learning leaders (activity creation (40%, n = 52/130 responses)) and non-leaders (level of preparedness (46%, n = 37/80 responses)). Survey responses also reported the positive impact the PBL/IQ hybrid system had on their success in IQ learning.

Conclusions
This PBL/IQ hybrid method addresses the biggest challenges faced in the IQ format as leaders and non-leaders, including preparedness, time management within the sessions and in preparing for the sessions, and creating the learning experience for the second day of cases. Additionally, the hybrid approach assisted students with their transition to increased student responsibilities in the IQ format, while allowing them to develop successful strategies for success in IQ learning.
Complete area-coverage path planner for surface cleaning in hospital settings using mobile dual-arm robot and GBNN with heuristics
Authors: Wan Ash Yaw Sang , Yi Lim , Hayat Abdullah Aamir , Gen Moo Chee , Elara Mohan Rajesh 
Published: June 2024

AbstractComplete area-coverage path planners are essential for robots performing tasks like cleaning, inspection, and surveying. However, they often involve complex calculations, mapping, and determining movement directions, leading to high computational or processing overheads and the risk of deadlocks. This paper proposes an approach for cleaning, i.e., by linear wiping of generic and discontinuous surfaces in hospital settings using inhouse assembled mobile dual-arm (MDA) robotic system. The proposed framework introduces key features: (a) a less resource-intensive approach for MDA positioning and cleaning surface mapping, (b) Modified Glasius Bioinspired Neural Network through use of heuristics (GBNN+H) to optimize surface linear wiping while obstacle avoidance, and traversal across discontinuous surfaces. The advantages of the proposed algorithm are highlighted in simulation with GBNN+H significantly reduces the number of steps and flight time required for complete coverage compared to existing algorithms. The proposed framework is also experimentally demonstrated in a hospital setting, paving the way for improved automation in cleaning and disinfection tasks. Overall, this work presents a generic and versatile, applicable to various surface orientations and complexities.
An adaptive trimming approach to Bayesian additive regression trees
Authors: Cao Taoyun , Wu Jinran , Wang You-Gan 
Published: June 2024

AbstractA machine learning technique merging Bayesian method called Bayesian Additive Regression Trees (BART) provides a nonparametric Bayesian approach that further needs improved forecasting accuracy in the presence of outliers, especially when dealing with potential nonlinear relationships and complex interactions among the response and explanatory variables, which poses a major challenge in forecasting. This study proposes an adaptive trimmed regression method using BART, dubbed BART(Atr) to improve forecasting accuracy by identifying suspected outliers effectively and removing these outliers in the analysis. Through extensive simulations across various scenarios, the effectiveness of BART(Atr) is evaluated against three alternative methods: default BART, robust linear modeling with Huber’s loss function, and data-driven robust regression with Huber’s loss function. The simulation results consistently show BART(Atr) outperforming the other three methods. To demonstrate its practical application, BART(Atr) is applied to the well-known Boston Housing Price dataset, a standard regression analysis example. Furthermore, random attack templates are introduced on the dataset to assess BART(Atr)’s performance under such conditions.
DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck
Authors: Wang Yang , Zheng Yunfei , Chen Lei , Yang Zhen , Cao Tieyong 
Published: June 2024

AbstractSignificant structural differences in DNN-based object detectors hinders the transferability of adversarial attacks. Studies show that intermediate features extracted by the detector contain more model-independent information, and disrupting these features can enhance attack transferability across different detectors. However, the challenge lies in selecting crucial features that impact detection from redundant intermediate features. To address this issue, we introduce the Deep information bottleneck universal adversarial perturbation (DIB-UAP). DIB-UAP utilizes the deep information bottleneck to establish a link between intermediate features and model output, extracting crucial intermediate features and disrupting them to generate UAP with strong attack transferability. Additionally, we propose a data augmentation method, Scale & Tile, which effectively enhances the attack performance of UAP on medium and large-scale objects. Testing on two benchmark datasets with eight comparative methods across four black-box mainstream detectors has confirmed the attack transferability of DIB-UAP. Furthermore, practical utility validation of DIB-UAP has been conducted on a commercial object detection platform.
Moboa: a proposal for multiple objective bean optimization algorithm
Authors: Xie Lele , Lu Xiaoli , Liu Hang , Hu Yongqiang , Zhang Xiaoming , Yang Shangshang 
Published: June 2024

AbstractThe primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective optimization problem (MaOP). This implies that the approximated solution set obtained by MOEAs should be as close to PF as possible while remaining diverse, adhering to criteria of convergence and diversity. However, existing MOEAs exhibit an imbalance between achieving convergence and maintaining diversity in the objective space. As far as the diversity criterion is concerned, it is still a challenge to achieve an evenly distributed approximation set with different sizes for a problem with a complicated PF shape. Furthermore, Pareto dominance has its own weaknesses as the selection criterion in evolutionary multiobjective optimization. Algorithms based on Pareto criterion (PC) can suffer from problems such as slow convergence to the optimal front and inferior performance on problems with many objectives. To effectively address these challenges, we propose a multi-objective bean optimization algorithm (MOBOA). Given that the selection of parent species, representing global optimal solutions, directly influences the convergence and diversity of the algorithm, MOBOA incorporates a preference order equilibrium parent species selection strategy (POEPSS). By extending the Pareto criterion with the preference order optimization criterion, the algorithm effectively enhances parent species selection pressure across multiple objectives. To balance convergence and diversity, MOBOA proposes a multi-population global search strategy explicitly maintaining an external archive during the search process. Leveraging the inherent multi-population advantages of bean optimization algorithm (BOA), the algorithm facilitates information sharing among the main population, auxiliary populations, and historical archive solution sets. Additionally, a diversity enhancement strategy is employed in the environmental selection stage, introducing the environmental selection strategy of the SPEA2 algorithm to generate a set of evenly distributed nondominated solutions. Experimental results on a series of widely used MOPs and MaOPs demonstrate that the proposed algorithm exhibits higher effectiveness and competitiveness compared to state-of-the-art algorithms.
Axial Symmetry in Primary School Through a Milieu Based on Visual Programming
Authors: Crisci Rosamaria , Dello Iacono Umberto , Ferrara Dentice Eva 
Published: June 2024

AbstractThis paper outlines the design and application of a didactic sequence aimed at facilitating primary students’ understanding of axial symmetry, utilizing a combination of digital artefacts and paper tasks. We wondered to what extent the designed didactic sequence is able to make primary school students formulate and validate effective programming strategies to construct symmetrical images with respect to an axis and identify the key properties of axial symmetry. Data analysis from a study carried out with fifth-grade students shows a link between the evolution of students’ programming strategies and the construction of mathematical knowledge related to the definition of axial symmetry. The digital artefact and the paper tasks were effective in bringing out programming strategies and some of the key properties of axial symmetry. However, the designed didactic sequence was not enough to allow students to identify all properties related to axial symmetry, and a subsequent intervention by the teacher was necessary. The results of the experimentation led us to expand the paper tasks with additional questions for students.
Multiscale Mechanical Modeling of Skeletal Muscle: A Systemic Review of the Literature
Authors: Loumeaud Aude , Pouletaut Philippe , Bensamoun Sabine F. , George Daniel , Chatelin Simon 
Published: June 2024

Abstract
Purpose
From the myofibrils to the whole muscle scale, muscle micro-constituents exhibit passive and active mechanical properties, potentially coupled to electrical, chemical, and thermal properties. Experimental characterization of some of these properties is currently not available for all muscle constituents. Multiscale multiphysics models have recently gained interest as a numerical alternative to investigate the healthy and diseased physiological behavior of the skeletal muscle.

Methods
This paper refers to the multiscale mechanical models proposed in the literature to investigate the mechanical properties and behavior of skeletal muscles. More specifically, we focus on the scale transition methods, constitutive laws and experimental data implemented in these models.

Results
Using scale transition methods such as homogenization, coupled to appropriate constitutive behavior of the constituents, these models explore the mechanisms of ageing, myopathies, sportive injuries, and muscle contraction.

Conclusion
Emerging trends include the development of multiphysics simulations and the coupling of modeling with the acquisition of experimental data at different scales, with increasing focus to little known constituents such as the extracellular matrix and the protein titin.
Association between sleep duration and the risk of hyperhomocysteinemia among adults in the United States: National Health and Nutrition Examination Survey, 2005–2006
Authors: Xu Liang , Jia Yuehui , Xiao Qiong 
Published: June 2024

AbstractThe study aimed to discuss the association between sleep duration and the risk of hyperhomocysteinemia (Hhcy). This cross-sectional study included 4173 adults (≥ 20 years) from the National Health and Nutrition Examination Survey 2005–2006. According to their sleep duration, participants were divided into five subgroups. Multivariate logistic regression analysis models and restrictive cubic spline regressions were used to explore the association between sleep duration and the risk of Hhcy. Compared with the participants who sleep 7 h, sleep deprivation (≤ 5 h) increased the risk of Hhcy, odds ratio (OR) 1.68 (95% confidence interval (CI) 1.06–2.68); Excessive sleep (≥ 9 h) also increased the risk of Hhcy, OR 1.86 (95% CI 1.09–3.14) after adjusting for a series of confounding factors in the entire population. The risk of Hhcy was distributed in a U-shape with sleep duration. Similar results were demonstrated in obese populations. The association between sleep duration and the risk of Hhcy is U-shaped. Both sleep deprivation and excessive sleep can increase the risk of Hhcy.
Therapeutic Working Alliance in Brief Therapy with College Students: In-Person Versus Telemental Health
Authors: Novella Jocelyn K. , Ng Kok-Mun 
Published: June 2024

AbstractThis study compared the therapeutic working alliance in brief counseling using two delivery methods: synchronous video delivery and in-person delivery. The alliance was measured using the Working Alliance Inventory (client version). Participants were 49 undergraduate college students between the ages of 18 and 22. Solution-focused brief therapy was the treatment protocol, and the study used a randomized, controlled design. Welch’s
t-tests and non-inferiority analyses were conducted, in addition to hierarchical regression analyses to examine the predictive value of the working alliance on post-treatment anxiety. Non-inferiority statistical analyses indicated that there was no statistically significant difference in working alliance for online delivery compared to in-person. A hierarchical regression analysis suggests that the therapeutic working alliance contributed to anxiety treatment outcomes for college student participants.
Time domain reflectometry coil probes for measuring thin surface layer soil moisture: Field tests over 21 years (2002–2022) under highly variable climate conditions in Mongolia
Authors: Kaihotsu Ichirow , Nissen Henrik Hoffman , Aida Kentaro , Asanuma Jun , Hirose Nozomu , Møldrup Per 
Published: June 2024

AbstractA coil probe (CP) for time-domain reflectometry (TDR) with a sensor length of 40 mm (CP40) was developed for long-term field soil moisture measurements in a thin surface soil layer (0–3 cm depth). In laboratory, soil moisture measurements of CP40 were nearly identical to those of a traditional two-rod type TDR (2RTDR) probe (rod length: 15 cm, diameter: 0.3 cm, spacing: 3 cm). The CP40 measurement accuracy was between 0.01 m3/m3 and 0.03 m3/m3. For long-term field soil moisture measurements, five CP40 units were installed in the highly wetted soil at the Sanzai site (SS), which is in the permafrost area of the Taiga, and dry soil at the Mandalgobi site (MGS) in the semi-arid area of Mongolia. Four units accurately measured soil moisture at both sites over six years (2002–2007and 2008–2009). Three units succeeded in conducting precisely continuous soil moisture measurements between 2008 and 2022 at the MGS. Two units successfully measured soil moisture over 21 years at both the sites. The representativeness of the CP40 soil moisture measurements in highly wetted soils was low because of heavy rainfall and soil heterogeneity. The accuracy of CP40 soil moisture measurements in highly wetted soils was slightly lower than that of the traditional 2RTDR probe. However, the accuracy of the CP40 soil-moisture measurements in the dry soil was comparable to that of the traditional 2RTDR probe. CP40 units are durable and their field soil moisture measurements demonstrate stable and precise performance (bias, RMSE), even under severe environmental conditions.
The possible impact of segmenting radiological images on students’ spatial abilities
Authors: Karstens Jort , Boer Lucas , Maal Thomas , Henssen Dylan 
Published: June 2024

AbstractVisuospatial ability plays a crucial role in anatomy related study success as studies have shown that students with high scores on a mental rotation test (MRT) perform better on anatomy exams. We hypothesized that segmenting anatomical structures on radiological images might impact students’ visuospatial abilities as measured by MRT scores. Second-year (bio)medical students who participated in a 10-week elective course were recruited for this study. All students completed an MRT questionnaire at the beginning of the elective course and another at the end of the elective course. During the elective course, students manually segmented radiological images (e.g., computed tomography (CT) and magnetic resonance imaging (MRI) data) to construct extended reality models. In total, twenty-eight students (17 males, 25 studied medicine) provided consent to participate in this study. A significant difference in mean pre-test scores (mean: 14.46; SD: ± 4.36) and post-test scores (mean: 17.56; SD: ± 4.57) (paired samples t-test, t(27) = −8.30, P < 0.001) was observed. Males had significantly better MRT scores, both at the pre- and at the post-test MRT. The results from this study should be interpretated with some caution due to the lack of a control group. The use of image segmentation as a teaching method to help (bio)medical students, especially those with low visuospatial insights, should be further investigated In future studies with larger cohorts and using a case–control experimental design.
3D Shear‐Wave Velocity Structure of the Crust and Upper Mantle Beneath India, Himalaya and Tibet
Authors: Dey Siddharth , Ghosh Monumoy , Mitra Supriyo 
Published: June 2024

AbstractWe perform Rayleigh‐wave group‐velocity dispersion measurements from 14,706 regional‐waveforms at periods of 10–120 s, followed by ray‐based tomography and inversion to obtain 3D‐Vs structure of the crust and upper mantle. The group‐velocity maps have 3–5° lateral resolution, and Vs models have ∼3%–7% average‐Vs uncertainty. The Moho depth is assigned to the bottom of the steepest‐gradient layer with Vs between 4.1 and 4.5 km s−1, and the sedimentary‐layers have Vs ≤ 2.9 km s−1. Indian cratons have high average‐crustal‐Vs of 3.6–3.9 km s−1 and thickness of 40–50 km. The intervening rift‐basins are filled with low‐Vs sedimentary‐rocks. The Himalayan Foreland Basin has along‐arc variation in sedimentary thickness with the thickest layer (8–10 km) beneath the Eastern Ganga Basin. The Indian lithospheric mantle has high‐Vs (>4.4 km s−1), and along with high‐Vs crust attest to a cold, rigid lithosphere. This lithosphere underthrust entire Western Tibet and up to the Qiangtang Terrane in Central‐Eastern Tibet. The top of the underthrusting Indian‐crust is marked by lower‐Vs and thrust‐fault earthquakes. The shallow crust beneath Tibet (0–10 km) has high‐Vs and is mechanically strong; whereas, the mid‐crust (20–40 km) has ∼5%–10% low‐Vs anomalies due to radiogenic/shear heating within the thickened crust. This layer is weak and decouples the deformation of the shallow and deep layers. Low‐Vs upper‐mantle with deeper high‐Vs layer is present beneath the Deccan and Raj‐Mahal Traps, suggesting plume‐volcanism related thermal anomaly and refertilization of the upper mantle. The intra‐cratonic basins with circular geometry, high‐Vs lithosphere and no basement earthquakes, possibly formed by thermal subsidence of isostatically‐balanced cratonic lithosphere.
Strong Eddy Kinetic Energy Anomalies Induced by Baroclinic Instability in the Southwest Region of the Kerguelen Plateau, East Antarctica
Authors: He Yunzhu , Zhou Meng , Kang Dujuan 
Published: June 2024

AbstractEddy activity is particularly prominent in the Southern Ocean due to the instabilities of the Antarctic Circumpolar Current, which plays a critical role in energy transport of the global ocean. In this study, a systematic energetics analysis framework is employed to investigate notable anomalies of an intensified Eddy Kinetic Energy (EKE) event observed in the southwest region of the Kerguelen Plateau in the Indian sector of the Southern Ocean in 2017, utilizing a reanalysis product. The EKE anomalies, presenting across all depths, emerged in April, peaked during the austral winter, and persisted into the subsequent summer. Energetics analysis indicates that the pronounced EKE anomalies are primarily determined by baroclinic instability, with distinct governing mechanisms at the surface and in the internal ocean. The anomalous intrusion of warm Circumpolar Deep Water intensified the baroclinic energy conversion in the subsurface, contributing significantly to the EKE anomalies. Moreover, strong anomalous wind‐induced Ekman pumping served to amplify the lifting of isopycnals, which enhanced the baroclinic instability and subsequently intensified the EKE anomalies. This study sheds new light on underlying mechanisms governing local polar dynamics and provides insights into the intricate interaction between ocean dynamics and energy distribution in the Antarctic region.