bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning for Multilabel Classification of Coral Reef Conditions in the Indo‐Pacific Using Underwater Photo Transect Method
Authors: Shao Xinlei , Chen Hongruixuan , Magson Kirsty , Wang Jiaqi , Song Jian , Chen Jundong , Sasaki Jun 
Published: September 2024

ABSTRACTBecause coral reef ecosystems face threats from human activities and climate change, coral reef conservation programmes are implemented worldwide. Monitoring coral health provides references for guiding conservation activities. However, current labour‐intensive methods result in a backlog of unsorted images, highlighting the need for automated classification. Few studies have simultaneously utilized accurate labels along with updated algorithms and datasets. This study aimed to create a dataset representing common coral reef conditions and associated stressors in the Indo‐Pacific. Concurrently, it assessed existing classification algorithms and proposed a new multilabel method for automatically detecting coral reef conditions and extracting ecological information. A dataset containing over 20,000 high‐resolution coral images of different health conditions and stressors was constructed based on the field survey. Seven representative deep learning architectures were tested on this dataset, and their performance was quantitatively evaluated using the F1 metric and the match ratio. Based on this evaluation, a new method utilizing the ensemble learning approach was proposed. The proposed method accurately classified coral reef conditions as healthy, compromised, dead and rubble; it also identified corresponding stressors, including competition, disease, predation and physical issues. This method can help develop the coral image archive, guide conservation activities and provide references for decision‐making for reef managers and conservationists. The proposed ensemble learning approach outperforms others on the dataset, showing state‐of‐the‐art (SOTA) performance. Future research should improve its generalizability and accuracy to support global coral reef conservation efforts.
WATER versus WATER II 5‐year update: Comparing Aquablation therapy for benign prostatic hyperplasia in 30–80‐cm3 and 80–150‐cm3 prostates
Authors: Berjaoui Mohamad Baker , Nguyen David‐Dan , Almousa Saud , Daher Karim , Barber Neil , Bidair Mo , Gilling Peter , Anderson Paul , Zorn Kevin C. , Badlani Gopal , Humphreys Mitch , Kaplan Steven , Kaufman Ronald P. , Elterman Dean , Desai Mihir , Roehrborn Claus , Bhojani Naeem 
Published: September 2024

AbstractObjectiveThis study aims to compare the long‐term outcomes of Aquablation for small‐to‐moderate (30–80 cm3) prostates with the outcomes for large (80–150 cm3) prostates at 5‐year follow up.MethodsThe Waterjet Ablation Therapy for Endoscopic Resection of Prostate Tissue (WATER; NCT02505919) is a prospective, double‐blind, international clinical trial encompassing 116 patients, examining Aquablation versus transurethral resection of the prostate (TURP) for LUTS/BPH in prostates sized between 30 and 80 cm3. In parallel, WATER II (W‐II; NCT03123250), a prospective, multicentre, single‐arm international clinical trial, explores Aquablation outcomes in prostates ranging from 80 to 150 cm3. Baseline parameters and 60‐month outcomes were scrutinized using statistical analyses, including Students' t test, Wilcoxon tests for continuous variables, and Fisher's test for binary variables.ResultsThere is a significant improvement in International Prostate Symptom Score (IPSS) from baseline to 60 months in both WATER (22.9 to 7.0) and WATER II (23.2 to 6.8) (P = 0.852). Urinary flow rate (Qmax) increased in both groups from baseline to 60 months (WATER: 9.4 to 17.3 cc/s; WATER II: 8.7 to 17.1 cc/s) (P = 0.933). Immediate and sustained enhancements were observed in IPSS and Qmax. At 5 years, a notable percentage of patients in both groups were BPH medication‐free (WATER: 99%; WATER II: 94%) (P = 0.0517) and free from surgical retreatment (WATER: 95%; WATER II: 97%) (P = 0.508).ConclusionsThe 5‐year follow‐up affirms that Aquablation therapy exhibits sustained outcomes, minimal irreversible complications, and low retreatment rates for treating LUTS/BPH, irrespective of prostate volume ranging from 30 to 150 cm3.
Polysaccharides from Lanzhou Lily Attenuate Nonalcoholic Fatty Liver Disease Modifying the Gut Microbiota and Metabolite Profile
Authors: Li Zhengdou , Wang Xueqi , Li Xu , Chen Xia , Wang Cancan , Mao Ying , Teng Guixiang , Zhu Xinliang , Zhang Ji 
Published: September 2024

AbstractNonalcoholic fatty liver disease (NAFLD) is closely related to gut microbiota due to the hepatic portal system, and utilizing natural polysaccharides as prebiotics has become a prospective strategy for treating NAFLD. However, the therapeutic effects and potential molecular mechanisms of Lanzhou Lily polysaccharides (LLP) on NAFLD remains unclear. Therefore, the alleviating effects of LLP on NAFLD induced by high‐fat diet (HFD) were investigated. LLP treatment greatly ameliorated NAFLD by significantly reducing lipid accumulation and the levels of liver function markers in HFD‐induced NAFLD mice, as evidenced by decreased serum levels of TG, TC, HDL‐C and LDL‐C. Furthermore, LLP administration reduced hepatic steatosis, as shown by H&E and Oil red O staining. LLP also inhibited the TNF‐α and IL‐1β expression, thereby reducing levels of hepatic proinflammatory cytokines. Furthermore, LLP restored gut microbiota dysbiosis (up‐regulated Bacteroidota, Proteobacteria, Alistipes and Lachnospiraceae abundances, down‐regulated Firmicutes, Verrucomicrobiota, Desulfobacterota and Turicibacter abundances), and regulated microbial metabolic pathways such as primary bile acid biosynthesis and amino acid metabolism. In addition, the resultes of Spearman's correlation analysis found that some key metabolites in these metabolic pathways were associated with intestinal microorganisms such as Desulfobacterota, Prevotellaceae‐UCG‐001, Colidextribacter and Alistipes. Therefore, our study suggests that LLP may has potential applications in the treatment of NAFLD by regulating gut microbiota and its metabolite profile.
Large‐signal stability analysis for hybridized vehicular power supply systems of rolling stocks
Authors: Pei Haoying , Diao Lijun , Jin Zheming , Zhang Jia 
Published: September 2024

AbstractHybridized vehicular power supply (HVPS) are acquiring widespread adoption in various applications such as providing power for passenger or heavy‐duty electric vehicles, more‐electric ships, electrified rolling stocks, and more. Stability analysis is a critical issue for HVPS, but it presents significant challenges due to their prominent high‐dimensional and nonlinear characteristics. This paper presents a large‐signal stability analysis scheme for HVPS of rolling stocks, enabling the assessment of system stability under sudden load changes. Based on the state‐space averaging method, a mathematical model for the large‐signal behavior of the system is established. Subsequently, the small‐signal stability parameter range of the system is determined by analyzing the eigenvalues of the Jacobian matrix. To further analyze the stability of the system during large‐signal disturbances, a nonlinear decoupling transformation approach is employed to decompose the original high‐order state equations into multiple lower‐order equations. For the decoupled lower‐order subsystems, their stability is analyzed using phase portrait, and the region of attraction (ROA) is determined using the inverse trajectory method. Based on the stability analysis results, the controller is enhanced to bring the points outside the ROA back within it, thereby mitigating the transient instability phenomenon of the system. The effectiveness of the proposed method was demonstrated using two case studies.
The ventromedial prefrontal cortex plays an important role in implicit emotion regulation: A focality‐optimized multichannel tDCS study in anxiety individuals
Authors: Gao Kexiang , Wong Aslan B. , Li Sijin , Zhang Yueyao , Zhang Dandan 
Published: September 2024

AbstractThe regulation of emotions is a crucial facet of well‐being and social adaptability, with explicit strategies receiving primary attention in prior research. Recent studies, however, emphasize the role of implicit emotion regulation, particularly implicating the ventromedial prefrontal cortex (VMPFC) in association with its implementation. This study delves into the nuanced role of the VMPFC through focality‐optimized multichannel transcranial direct current stimulation (tDCS), shedding light on its causal involvement in implicit reappraisal. The primary goal was to evaluate the effectiveness of VMFPC‐targeted tDCS and elucidate its role in individuals with high trait anxiety. Participants engaged in implicit and explicit emotion regulation tasks during multichannel tDCS targeting the VMPFC. The outcome measures encompassed negative emotion ratings, pupillary diameter, and saccade count, providing a comprehensive evaluation of emotion regulation efficiency. The intervention exhibited a notable impact, resulting in significant reductions in negative emotion ratings and pupillary reactions during implicit reappraisal, highlighting the indispensable role of the VMPFC in modulating emotional responses. Notably, these effects demonstrated sustained efficacy up to 1 day postintervention. This study underscores the potency of VMPFC‐targeted multichannel tDCS in augmenting implicit emotion regulation. This not only contributes insights into the neural mechanisms of emotion regulation but also suggests innovative therapeutic avenues for anxiety disorders. The findings present a promising trajectory for future mood disorder interventions, bridging the gap between implicit emotion regulation and neural stimulation techniques.
Dataset factors associated with age‐related changes in brain structure and function in neurodevelopmental conditions
Authors: Vandewouw Marlee M. , Ye Yifan (Julia) , Crosbie Jennifer , Schachar Russell J. , Iaboni Alana , Georgiades Stelios , Nicolson Robert , Kelley Elizabeth , Ayub Muhammad , Jones Jessica , Arnold Paul D. , Taylor Margot J. , Lerch Jason P. , Anagnostou Evdokia , Kushki Azadeh 
Published: September 2024

AbstractWith brain structure and function undergoing complex changes throughout childhood and adolescence, age is a critical consideration in neuroimaging studies, particularly for those of individuals with neurodevelopmental conditions. However, despite the increasing use of large, consortium‐based datasets to examine brain structure and function in neurotypical and neurodivergent populations, it is unclear whether age‐related changes are consistent between datasets and whether inconsistencies related to differences in sample characteristics, such as demographics and phenotypic features, exist. To address this, we built models of age‐related changes of brain structure (regional cortical thickness and regional surface area; N = 1218) and function (resting‐state functional connectivity strength; N = 1254) in two neurodiverse datasets: the Province of Ontario Neurodevelopmental Network and the Healthy Brain Network. We examined whether deviations from these models differed between the datasets, and explored whether these deviations were associated with demographic and clinical variables. We found significant differences between the two datasets for measures of cortical surface area and functional connectivity strength throughout the brain. For regional measures of cortical surface area, the patterns of differences were associated with race/ethnicity, while for functional connectivity strength, positive associations were observed with head motion. Our findings highlight that patterns of age‐related changes in the brain may be influenced by demographic and phenotypic characteristics, and thus future studies should consider these when examining or controlling for age effects in analyses.
Safety of labor, Valsalva maneuver, and neuraxial anesthesia for pregnant women after decompressive craniectomy: Case series and review of the literature
Authors: Monsour M. , Pressman E. , Pressman K. , Cain M. A. , Vakharia K. 
Published: September 2024

AbstractDecompressive craniectomies are a neurosurgical operation aimed at normalizing intracranial pressure (ICP). Occasionally, there is delayed replacement of the skull resulting in an acquired skull defect. When managing laboring patients with an acquired skull defect there is often fear associated with traditional labor involving the Valsalva maneuver and with neuraxial anesthesia. These fears typically stem from potential ICP changes and risk of herniation. In reviewing the literature, only 15 cases are described detailing labor management after decompressive craniectomy (DC), mostly with incomplete labor histories. We aim to expand that literature by reporting two cases of safe labor with epidural anesthesia in patients with large skull defects. The first described patient underwent a cranioplasty during pregnancy because of trauma. Later, because of concerns for pre‐eclampsia, induction of labor was initiated and she received neuraxial anesthesia via epidural. The patient ultimately underwent cesarean delivery 48 h after induction began due to nonreassuring fetal heart tones. The second patient underwent a cranioplasty because of infection prior to pregnancy. Once in labor, she was cleared by neurosurgery and the anesthesia team placed her epidural. She later underwent an uncomplicated standard vaginal delivery. The existing literature on labor following DC is sparse. Retrospective review of case reports can advance discussion and standardization regarding care for laboring women with a history of DC. We advocate that the Valsalva maneuver and epidural anesthesia is safe for pregnant women who are neurologically asymptomatic.
International students' perspectives on factors impacting psychological well‐being and early help‐seeking behaviours in undergraduate nursing programs
Authors: Abdelkader Amany , Joseph Bindu , Anish Ligi , Kaur Muskandeep , Bourke Sharon , Hayes Claire , Thong Matthew , Plummer Virginia , Jacob Sini 
Published: September 2024

AbstractBackgroundStudying in a foreign country can be accompanied by challenges, including difficulty understanding the curriculum, culture shock, and a new language. These additional challenges place international students at risk and predispose them to developing mental health problems compared to domestic student.AimsThis study explores psychological well‐being and help‐seeking behaviours of international nursing students who commenced their program onshore or in a remote learning capacity.Materials & MethodsThis paper reports the findings of the mixed‐methods study. Research was conducted among international students enrolled in the Bachelor of Nursing programs across multiple campuses at two Victorian universities in 2022. Data was collected using a survey questionnaire with open‐response questions and incorporated a validated Student Stress Survey.ResultsFindings indicated that international students require support financially and to settle in Australia upon arrival.Discussion & ConclusionParticipants highlighted that they require additional support to keep up with academic workloads and require further academic support tailored for international students. There was no patient or public contribution in the design, conduct, analysis or preparation of this manuscript.
The effects of 1D multi‐wall carbon nanotubes and 2D graphene nanoplatelets on curing behavior of epoxy/vinyl ester interpenetrating polymer network nanocomposites
Authors: Molaei Afrooz , Jannesari Ali 
Published: September 2024

AbstractThis study meticulously investigated the effect of two carbon allotrope nanofillers, two‐dimensional graphene nanoplatelets (GnPs) and one‐dimensional multi‐wall carbon nanotubes (MWCNTs) individually, at various loadings on the kinetics of curing of the epoxy (EP)/vinyl ester (VE) based interpenetrating polymer network (IPN) system, with a mass ratio of 1:1. The IPN system is including a liquid epoxy resin based on bisphenol A which has been cured by methyltetrahydrophthalic anhydride (MTHPA) in the presence of 1‐methyl imidazole (Mi) as an accelerator and a vinyl ester resin based on bisphenol A which has been cured by methyl ethyl ketone peroxide (MEKP). The curing behavior of all prepared nanocomposites under non‐isothermal conditions was studied using DSC at four heating rates. Two different isoconversional approaches were applied to evaluate the reaction kinetics, that is, the Friedman and the advanced Vyazovkin methods. The obtained activation energy curves for all samples revealed a complex curing behavior involving three stages: early IPN stage, IPN growth stage, and late IPN stage. Then, the activation energy values for each reaction step were determined based on the Friedman method. The presence of GnPs showed no catalytic effect on the reaction of VE with MEKP. In contrast, incorporating MWCNT nanoparticles considerably decreases the activation energy values of the reaction of ring opening of epoxides with MTHPA‐Mi and the reaction of esterification of the hydroxyl groups of VE with MTHPA.Highlights
MWCNTs reduce activation energy in curing reactions for EP/MTHPA‐Mi and VE/MTHPA.
GnPs do not catalyze VE/MEKP reaction unlike MWCNTs.
Combining MWCNTs and GnPs enhances properties of IPN nanocomposites.
Curing process includes early, growth, and late IPN stages impacting activation energy.
SEM analysis reveals better dispersion of GnPs in IPN nanocomposites with MWCNTs.
Effect of environmental temperature and semi‐crystalline order on the toughening of polyamide 1010 by 2D nanomaterials
Authors: Pinto Gabriel M. , Helal Emna , Ribeiro Hélio , David Eric , Demarquette Nicole R. , Fechine Guilhermino J. M. 
Published: September 2024

AbstractBy incorporating nanomaterials into polymer matrices, nanocomposites can be produced with enhanced properties, combining the ease of processing thermoplastics with the superior physical characteristics of nanoparticles. In this study, fully bio‐based polyamide 1010 was used as the polymer matrix, with graphene oxide (GO), hexagonal‐boron nitride (h‐BN), and molybdenum disulfide (MoS2), both individually and in hybrids, serving as fillers. The tensile behavior of these nanocomposites was evaluated at room temperature and −40 °C, along with their morphology and microstructure. Results showed that the nanomaterials slightly shifted the polymer's crystallization temperature upward, indicating a small nucleating effect, but also hindered the development of crystalline domains, reducing the crystallization kinetics. Despite no change in the final crystalline form, nanocomposites with h‐BN and MoS2 showed lower microstructural order as evidenced by XRD. Regarding tensile behavior, GO provided the greatest toughening at room temperature due to its larger lateral dimensions and good chemical affinity with the matrix. However, at low temperatures, h‐BN‐based nanocomposites maintained the toughening effect better than GO‐based ones. This can be attributed to the lower order of the polymer's semi‐crystalline structure promoted by h‐BN, allowing greater energy dissipation. Surprisingly, hybrid fillers did not exhibit synergistic effects, with one nanomaterial hampering the effect of the other. However, SEM analysis indicated that the fracture mechanisms of the nanocomposites remained unchanged from the neat polymer, which makes them interesting options for applications that require desirable mechanical properties at a wide temperature range.Highlights
GO showed the best toughening of polyamide 1010 at room temperature.
Toughening at room temperature is mainly due to nanomaterials physical traits.
Most nanofillers lowered polyamide's overall microstructural order.
Toughening at −40 °C is mainly due to lower microstructural order.
Analyzing the energy markets and financial markets linkage: A bibliometric analysis and future research agenda
Authors: Patel Ritesh 
Published: September 2024

AbstractThis study has been conducted using 200 articles from 1984 to 2023, by undertaking a meta‐literature review on the subject of energy markets and financial markets linkage (EFML). Our study consists of content analysis of 200 articles along with other analyses such as (i) co‐citation analysis, (ii) co‐authorship analysis, and (iii) cartographic analysis. We have identified five research streams: (1) Oil, stock, commodities markets, crypto currency, real estate, exchange rate linkage; (2) Oil and stock market linkage; (3) Energy as a portfolio diversification tool; (4) Dynamic linkage between the oil‐commodity market and stock market; and (5) Oil and other market linkages with respect to the COVID‐19 pandemic, the subsequent financial crisis, and other events. We have performed a comprehensive review of the EFML literature and provided the influential aspects of top journals and authors, the characteristics of the most studied topics, past and current key research streams in the EFML literature. We have also suggested 63 future research questions. Looking at the widespread interest of finance scholarship in the area of energy market linkages, the assessment of energy market linkages, and possible portfolio diversification opportunities and benefits, is of great importance and interest to researchers, policy holders, and portfolio managers.
A passive convex optimal control algorithm for teleoperating a redundant robotic arm in minimally invasive surgery
Authors: Piccinelli Nicola , Colombo‐Taccani Gianluca , Muradore Riccardo 
Published: September 2024

AbstractIn recent years, the remote center of motion (RCM) constraint has moved from purely mechanical to software implementation, enabling the use of serial manipulators in robotic‐assisted minimal invasive surgery. However, ensuring safety with software‐based RCM presents challenges. This article addresses this issue by introducing a novel control algorithm for a 7‐DOF redundant robotic arm, taking into account a software RCM while considering system passivity and kinematic constraints. The algorithm is both a control optimizer and a robot kinematics inversion, enabling precise and dexterous control for various surgical tasks and other control applications. By formulating a quadratic optimization problem under linear constraints, the algorithm guarantees the robotic arm's performance, safety, and stability under communication delay. Experimental validation demonstrates the effectiveness and accuracy of the control algorithm in executing a surgical training task (peg‐and‐ring) during bilateral teleoperation. The results highlight the successful implementation of the RCM constraint, ensuring patient safety and optimizing the manipulation capabilities of the robotic arm.