bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultra‐Low Alginate‐Based Multifunctional Composite Binders for Enhanced Mechanical, Electrochemical, and Thermal Performance of Li–S Batteries
Authors: Cui Shengrui , Li Weiya , Hu Hongkai , Wang Tiancheng , Xing Youjun , Yin Jiaxuan , Zhang Minghui , Liu Wei , Myung Seung‐Taek , Jin Yongcheng 
Published: September 2024

AbstractThe practical application of Li–S batteries, which hold great potential as energy storage devices, is impeded by various challenges, such as capacity degradation caused volume change, polysulfide shuttling, poor electrode kinetics, and safety concerns. Binder plays a crucial role in suppressing volume change of cathode side, thereby enhancing the electrochemical performance of Li–S batteries. In this research, a novel network binder (SA‐Co‐PEDOT) composed of sodium alginate is presented, Co2+ ions as cross‐linking agent and PEDOT as an electronic conductor. The theoretical analysis and experimental testing confirm that the SA‐Co‐PEDOT binder with synergistic combination of catalytic center and electron transfer network effectively mitigates large volumetric changes during cycling while simultaneously enhancing electrode kinetics through controlling the deposition morphology of sulfur end product and its nucleation and dissolution. As a result, it achieves a capacity of 844 mAh g−1 after 150 cycles at 0.2 C. Moreover, the electrode with SA‐Co‐PEDOT binder subjected a bending test maintains a capacity of 395 mAh g−1 after 500 cycles at 0.5 C, exhibiting an impressively low decay rate of only 0.11%. Even with an ultra‐low content of 2 wt.% SA‐Co‐PEDOT binder, the electrode still maintains a capacity of 999.7 mAh g−1 after 100 cycles at 0.5 C.
Enhancement of the Piezocatalytic Response of La‐Doped BiFeO3 Nanoparticles by Defects Synergy
Authors: Amdouni Wafa , Otoničar Mojca , Alamarguy David , Erdem Emre , Gemeiner Pascale , Mazaleyrat Frédéric , Maghraoui‐Meherzi Hager , Kreisel Jens , Glinsek Sebastjan , Dkhil Brahim 
Published: September 2024

AbstractBecause of their intrinsic polarization and related properties, ferroelectrics attract significant attention to address energy transformation and environmental protection. Here, by using trivalent‐ion‐lanthanum doping of BiFeO3 nanoparticles (NPs), it is shown that defects and piezoelectric potential are synergized to achieve a high piezocatalytic effect for decomposing the model Rhodamine B (RhB) pollutant, reaching a record‐high piezocatalytic rate of 21 360 L mol−1 min−1 (i.e., 100% RhB degradation within 20 min) that exceeds most state‐of‐the art ferroelectrics. The piezocatalytic Bi0.99La0.01FeO3 NPs are also demonstrated to be versatile toward various pharmaceutical pollutants with over 90% removal efficiency, making them extremely efficient piezocatalysts for water purification. It is also shown that 1% La‐doping introduces oxygen vacancies and Fe2+ defects. It is thus suggested that oxygen vacancies act as both active sites and charge providers, permitting more surface adsorption sites for the piezocatalysis process, and additional charges and better energy transfer between the NPs and surrounding molecules. Furthermore, the oxygen vacancies are proposed to couple to Fe2+ to form defect dipoles, which in turn introduces an internal field, resulting in more efficient charge de‐trapping and separation when added to the piezopotential. This synergistic mechanism is believed to provide a new perspective for designing future piezocatalysts with high performance.
Tailoring the d‐Band Center of WS2 by Metal and Nonmetal Dual‐Doping for Enhanced Electrocatalytic Nitrogen Reduction
Authors: Wen Lulu , Chang Qingfang , Zhang Xilin , Li Xinyang , Zhong Shichuan , Zeng Pan , Shah Syed Shoaib Ahmad , Hu Xiaoye , Cai Weiping , Li Yue 
Published: September 2024

AbstractTuning the adsorption energy of nitrogen intermediates and lowering the reaction energy barrier is essential to accelerate the kinetics of nitrogen reduction reaction (NRR), yet remains a great challenge. Herein, the electronic structure of WS2 is tailored based on a metal and nonmetal dual‐doping strategy (denoted Fe, F‐WS2) to lower the d‐band center of W in order to optimize the adsorption of nitrogen intermediates. The obtained Fe, F‐WS2 nanosheet catalyst presents a high Faradic efficiency (FE) of 22.42% with a NH3 yield rate of 91.46 µg h−1 mgcat.−1. The in situ characterizations and DFT simulations consistently show the enhanced activity is attributed to the downshift of the d‐band center, which contributes to the rate‐determining step of the second protonation to form N2H2* key intermediates, thereby boosting the overall nitrogen electrocatalysis reaction kinetics. This work opens a new avenue to enhanced electrocatalysis by modulating the electronic structure and surrounding microenvironment of the catalytic metal centers.
UAV Jamming Localization Against Random Eavesdropper Positions Using Cuckoo Search Algorithm
Authors: Taleb Mohamed Ilies , Benssalah Mustapha 
Published: September 2024

ABSTRACTUnmanned Aerial Vehicle (UAV) jammer localization refers to the process of determining the optimal location for a UAV jammer to be placed to interfere with an eavesdropper's communication with a target. In fact, the main goal is to maximize the jamming signal power at the eavesdropper's position while minimizing the jamming signal power at the target's position. This paper leverages Cuckoo Search algorithm for the secrecy rate optimization which refers to the amount of secure information transmitted from the target to the intended receiver. The model is composed with an UAV jammer, two ground nodes and an illegitimate user with unknown position. True uniform random deployment processes is used to model the randomness of the eavesdropper location. Further, a novel summed secrecy approach is proposed to determine the overall optimal UAV position. Simulations demonstrate the superiority of the novel approach versus other benchmark algorithms across various numbers of eavesdroppers.
Vision‐based monitoring system for in‐plan seismic tests conducted on a shaking table: The case study of prefabricated concrete shells
Authors: Valença Jónatas , Brandão Marco , Júlio Eduardo 
Published: September 2024

AbstractComputer vision enables a much more efficient monitoring system of structural behavior, compared to traditional methods. This derives from the fact that it allows the assessment of displacements in a vast number of points that can be processed to the estimate deformations, accelerations, and other key parameters at relevant cross‐sections. This paper proposes a computer vision‐based methodology, specifically designed for monitoring seismic tests conducted on a shaking table with a reduced‐scale model, using a single camera approach. This innovative methodology uses artificial targets with predefined color and geometry to optimize their detection and tracking. These targets are positioned at key points of the reduced model—“Moving Targets”—and at reference points of the seismic table—“Control Targets.” Videos are recorded during the seismic tests and the coordinates (in pixels) of the targets' centers are automatically detected and captured. Then, transformations are applied to each frame to compute the targets coordinates in millimeters and based on the differences between frames, to calculate the displacements of each target. The methodology was first calibrated with dynamic tests performed on a reduced‐scale model (1:33) of a prefabricated concrete shell, printed in acrylonitrile butadiene styrene (ABS), conducted on an educational shaking table. Afterwards, the methodology was validated with seismic tests performed on a 1:3 reduced model of a prefabricated concrete shell, produced according to the similitude theory to best reproduce the behavior of the corresponding prototype. It was demonstrated the ability of the methodology to monitoring seismic tests, enabling continuous tracking of the targets placed on a structure with complex geometry.
Track recurrence after remote‐access thyroid surgeries: A systematic review
Authors: Oh Moon Young , Chai Young Jun 
Published: September 2024

AbstractBackgroundRemote‐access thyroidectomies have gained popularity, but track recurrence, which is the implantation of thyroid tissue or lesions along the surgical access route, has been reported in case studies. This systematic review aims to review cases of track recurrence following remote‐access thyroidectomies.MethodsA comprehensive literature search was conducted using PubMed, the Web of Science, the Cochrane Library, and Google Scholar to identify case reports on track recurrence after endoscopic or robotic thyroidectomy up to June 2024. Data included patient demographics, details of the initial surgery and diagnosis, methods and timing of recurrence detection, and management strategies.ResultsThe search yielded 1578 articles, of which 17 case reports comprising 18 patients were included. The patients (16 females and two males) had a mean age of 34.6 ± 14.9 years. The mean size of initial tumors was 3.9 ± 1.2 cm, with diagnoses of eight cancers and 10 benign lesions. The initial surgeries included 12 endoscopic and six robotic procedures. Track recurrence was most often detected by palpable nodules followed by routine imaging and elevated serum Tg levels. The interval between initial surgery and recurrence ranged from 3 months to 8 years. Management varied from surgical resection and radioactive iodine therapy to close observation. There were no further recurrences in all but one case postoperatively.ConclusionTrack recurrence after remote‐access thyroidectomy is rare but significant. Proper surgical techniques, careful handling of thyroid tissue, and rigorous postoperative monitoring are essential to minimize this risk. Awareness and prompt management of track recurrence may lead to favorable outcomes.
Ratings of perceived exertion (RPE) from a submaximal 20-m shuttle-run test accurately predict children’s VO2peak, but when should we stop the test?
Authors: Kasai Daiki , Tsiros Margarita D. , Eston Roger , Parfitt Gaynor 
Published: September 2024

Abstract

Purpose
The purpose of the study was to explore the validity, test–retest reliability and affective responses of a submaximal 20-m shuttle-run test (20mSRT) stopped at 6 on the Eston–Parfitt (EP) scale. The secondary aim was to examine and compare two submaximal 20mSRT protocols with different RPE end points (EP6 vs. EP7) using previously published data.

Methods
Twenty-five children (16 boys; 13.4 ± 1.0 years; 162.1 ± 8.7 cm; 49.1 ± 6.6 kg) completed three exercise tests (graded exercise test [GXT], 2 submaximal 20mSRT). The EP scale and Feeling scale were used to measure RPE and affect, respectively. The two submaximal 20mSRTs were stopped after participants reported EP6. Individual speed–RPE relationships from the submaximal 20mSRTs were linearly regressed to predict peak speed and then used to estimate VO2peak. Previously published data (n = 25) used comparable methods, except that the participants stopped at EP7.

Results
In the EP6 protocol, a two-factor repeated measures ANOVA revealed non-significant Test and Sex main effects (p > 0.05). Reliability analysis revealed intraclass correlation coefficient of ~ 0.7 (95%CI [0.432,0.867], p < 0.001) between the submaximal 20mSRTs. Significant differences in end-test affect between the GXT and submaximal 20mSRTs were found (p < 0.001), with GXT more negative. ANOVA revealed no significant differences in end-test affect between EP6 and EP7 protocols; however, frequency count analysis revealed EP6 to result in more positive end-test affect.

Conclusion
Submaximal 20mSRT utilising RPE may offer valid predictions in VO2peak while minimising negative affect. Test end points of EP6 and EP7 both offer valid predictions in VO2peak. EP6 may be more beneficial in avoiding negative affect, even though a reduction in test–retest reliability was observed.
Radiographic identification of symptomless mandibular third molars without clinical pericoronitis
Authors: Vesala Tommi , Ventä Irja , Snäll Johanna , Ekholm Marja 
Published: September 2024

Abstract
Objectives
The aim was to identify radiographic characteristics of mandibular third molars in young adults without symptoms or clinical signs of pericoronal infection.

Materials and methods
An existing cross-sectional material, including records from clinical oral examination and panoramic radiographs (PANs) of university students, was submitted to retrospective analysis. The outcome variable was a symptomless and clinically pericoronitis-free mandibular third molar. Predictor variables for the third molar were clinical eruption level, pathological signs in the follicle, marginal bone level, radiographic depth in bone, inclination, stage of root development, and available space for eruption. Statistics included χ2 and Mann-Whitney U tests.

Results
Analysis included 345 mandibular third molars in 189 participants (20% men, 80% women; mean age 20.7 years; SD ± 0.6). Symptomless and clinically pericoronitis-free mandibular third molars were characterized as follows: clinically unerupted in 78% of teeth, associated with reduced marginal bone level in 70%, located deeper in the bone in 87%, mesially inclined in 73%, and stage of root development incomplete in 68% (p ≤ 0.001 for all).

Conclusions
Radiographic characteristics of symptomless mandibular third molars without clinical pericoronitis in young adults can be assessed from a PAN with 68–87% certainty.

Clinical relevance
These findings may prove useful when trying to exclude non-pathological mandibular third molars from diseased teeth.
Variational inference based adversarial domain adaptation
Authors: Zonoozi Mahta Hassan Pour , Seydi Vahid , Deypir Mahmood 
Published: September 2024

AbstractDeep learning methods demand enormous amounts of labeled data. Although collecting labeled data is a challenge but it can be accomplished with difficulty. Nevertheless, domain shift or bias may occur due to some conditions. Recollecting data under similar conditions is too expensive or impossible. Domain adaptation is an effective technique to deal with this problem. Among domain adaptation methods, adversarial learning models handled domain shifts well. Adversarial learning’s biggest issue is matching the features to the appropriate classes. In other words, domain adaptation may lead to negative transfer. Utilizing adversarial learning and Variational Auto-Encoder (VAE) cluster-forming capabilities, we propose a method that overcomes these limitations. Our structure attempts to generate a smooth latent representation based on both the target and the source data using a variational auto-encoder. Then the affected data are fed into an adversarial learning component. The component includes an encoder and a discriminator. The discriminator aims to identify the source and target encoders’ features. The target encoder uses inverted domain labels to mislead the discriminator. To emphasize the desired effect of VAE on domain adaptation, we test the model performance without adversarial training. In comparison to the most prevalent adversarial domain adaptation benchmarks, our method yields approving and comparable results.
Endoscopic transorbital approach for recurrent spheno-orbital meningiomas: single center case series
Authors: Ricciuti V. , Peppucci E. , Montalbetti A. , Piras G. , Spena G. , Giussani C. G. , Zoia C. 
Published: September 2024

AbstractEndoscopic transorbital approaches (ETOAs) are finding wide application for skull base lesions, particularly for spheno-orbital meningiomas (SOMs). These tumors have high recurrence rates, and second surgery can often represent a challenge. In this study we analyze our experience of management of recurrent SOMs through a slightly modified eyelid crease approach. Between May 2016 and September 2023, in the Department of Neurosurgery of Fondazione IRCCS Policlinico San Matteo (Pavia, Italy), five consecutive recurrent SOMs have been treated using an endoscopic transorbital approach. Demographic data, preoperatory deficits, lesions characteristics, histology, grade of resection, eventual adjuvant treatments, complications, outcome in terms of symptoms improvement and cosmesis, and hospitalization are described. One patient maintained a right lateral rectus muscle palsy that was already present in the preoperatory, no cerebrospinal fluid (CSF) leaks were reported. All patients had postoperative periorbital edema, but no other systemic complication was found. All patients had proptosis improvement, two had visual acuity improvement, and best cosmetic outcome was obtained in all cases. Hospitalization varied between 4 and 6 days. ETOAs in the management of recurrent SOMs are safe and have good outcome. Right selection of patients is mandatory, but when feasible, endoscopic surgery can allow a virgin route to a previously operated tumor, guaranteeing a good strategic option.
A Robust [18F]-PSMA-1007 Radiomics Ensemble Model for Prostate Cancer Risk Stratification
Authors: Pasini Giovanni , Stefano Alessandro , Mantarro Cristina , Richiusa Selene , Comelli Albert , Russo Giorgio Ivan , Sabini Maria Gabriella , Cosentino Sebastiano , Ippolito Massimo , Russo Giorgio 
Published: September 2024

AbstractThe aim of this study is to investigate the role of [18F]-PSMA-1007 PET in differentiating high- and low-risk prostate cancer (PCa) through a robust radiomics ensemble model. This retrospective study included 143 PCa patients who underwent [18F]-PSMA-1007 PET/CT imaging. PCa areas were manually contoured on PET images and 1781 image biomarker standardization initiative (IBSI)-compliant radiomics features were extracted. A 30 times iterated preliminary analysis pipeline, comprising of the least absolute shrinkage and selection operator (LASSO) for feature selection and fivefold cross-validation for model optimization, was adopted to identify the most robust features to dataset variations, select candidate models for ensemble modelling, and optimize hyperparameters. Thirteen subsets of selected features, 11 generated from the preliminary analysis plus two additional subsets, the first based on the combination of robust and fine-tuning features, and the second only on fine-tuning features were used to train the model ensemble. Accuracy, area under curve (AUC), sensitivity, specificity, precision, and f-score values were calculated to provide models’ performance. Friedman test, followed by post hoc tests corrected with Dunn-Sidak correction for multiple comparisons, was used to verify if statistically significant differences were found in the different ensemble models over the 30 iterations. The model ensemble trained with the combination of robust and fine-tuning features obtained the highest average accuracy (79.52%), AUC (85.75%), specificity (84.29%), precision (82.85%), and f-score (78.26%). Statistically significant differences (p < 0.05) were found for some performance metrics. These findings support the role of [18F]-PSMA-1007 PET radiomics in improving risk stratification for PCa, by reducing dependence on biopsies.
The polyphonic principle in the novelistic thinking of Olga Tokarczuk
Authors: Novák Radomil 
Published: September 2024

AbstractThis study explores the influence of the musical principle of polyphony in the novelistic thinking of the Polish writer Olga Tokarczuk, with a particular focus on the structure of her novel Primeval and Other Times. This principle is manifested in various facets of the novels’ composition, their characters and their themes.In the introductory part of this text, I apply the concept of intermediality to show how the polyphonic principle straddles the boundary-line between music and literature. As in music, also in literature the polyphonic principle is rooted in the principle of plurality: there is no single truth, no single perspective or way of looking at things, and each thought always exists in counterpoint with another thought. This creates a genuine multiplicity of voices each with equal status, which may exist in various relationships with each other (contrast, mirroring, divergence, complementing, etc.), though none of them represents a definitive truth.The main focus in this study is on the novel Primeval and Other Times. When analyzing it, I apply the same approach as could be used for a complex polyphonic structure—specifically, a four-voice fugue with four clearly defined themes: space, time, God, and people. I trace how each of these themes is gradually developed through an elaborate counterpoint: (space: time, space: God, space: people, etc.), and I also set out to present a synthesis—because each voice (theme), despite its independence and equality of status, forms an integral part of the whole, contributing to the text’s meaning-making.
Differences in motor learning-related structural plasticity of layer 2/3 parvalbumin-positive interneurons of the young and aged motor cortex
Authors: Davidson Andrew M. , Mejía-Gómez Hernán , Wooten Bryn M. , Marqués Sharai , Jacobowitz Michael , Ugidos Irene F. , Mostany Ricardo 
Published: September 2024

AbstractChanges to neuronal connectivity are believed to be a key factor in cognitive impairments associated with normal aging. Because of its effect on activities of daily living, deficient motor control is a critical type of cognitive decline to understand. Diminished inhibitory networks in the cortex are implicated in such motor control deficits, pointing to the connectivity of inhibitory cortical interneurons as an important area for study. Here, we used chronic two-photon microscopy to track the structural plasticity of en passant boutons (EPBs) of parvalbumin-positive interneurons in the mouse motor cortex in the first longitudinal, in vivo study of inhibitory interneuron synapses in the context of aging. Young (3–5 months) and aged (23–28 months) mice underwent training on the accelerating rotarod to evoke motor learning-induced structural plasticity. Our analysis reveals that, in comparison with axons from young mice, those from aged mice have fewer EPBs at baseline that also tend to be larger in size. Aged axons also express learning-related structural plasticity—like new bouton stabilization and bouton enlargement—that is less persistent than that of young axons. This study reveals striking baseline differences in young and aged axon morphology as well as differences in the deployment of learning-related structural plasticity across axons.
Multisite usability and safety trial of an immersive virtual reality implementation of a work organization system for autistic learners: implications for technology design
Authors: Herrera Gerardo , Vera Lucía , Pérez-Fuster Patricia , López-Fernández Arturo , López Álvaro , Savaş-Taşkesen Ümit , Newbutt Nigel 
Published: September 2024

AbstractThe increased availability of low-cost, standalone and immersive virtual reality (VR) can facilitate adoption in autism education. An immersive VR implementation of the individual work system (IWS) from the TEACCH® approach has the potential to be a safe and predictable environment for autistic learners with or without intellectual disability. This study is a multi-site usability and safety trial examining an immersive VR implementation of the IWS co-designed with autistic pupils and their teachers from three educational centers in the UK, Spain, and Turkey. Twenty-one autistic students aged between 6 and 17 years were involved in the study, six of whom had an intellectual disability. The students tested a total of 164 customized tasks. All participants were able to finish all the tasks. No significant safety issues were identified. The student’s average score on the SUS Usability Scale was 85.36 points. A linear regression analysis showed that autistic children with intellectual disability scored significantly lower on feasibility than children without intellectual disability (p < 0.01) across all locations. This study concluded that an immersive VR-IWS proved usable and safe for the 21 students. However, our findings highlight the need for further adaptations and further research on those with an intellectual disability before recommending universal use. Our findings also have implications for game design for learners with special educational needs.