bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interlayer Space Engineering‐Induced Pseudocapacitive Zinc‐Ion Storage in Holey Graphene Oxide‐Bearing Vertically Oriented MoS2 Nano‐Wall Array Cathode for Aqueous Rechargeable Zn Metal Batteries
Authors: Babu Athira , Dilwale Swati , Kurungot Sreekumar 
Published: September 2024

AbstractTransition metal dichalcogenides, particularly MoS2, are acknowledged as a promising cathode material for aqueous rechargeable zinc metal batteries (ARZMBs). Nevertheless, its lack of hydrophilicity, poor electrical conductivity, significant restacking, and restricted interlayer spacing translate into inadequate capacity and rate performance. Herein, the unique porous structure and additional functional groups present in holey graphene oxide (hGO) are taken advantage of to dictate the vertical growth pattern of oxygen‐doped MoS2 nanowalls (O‐MoS2/NW) over the hGO surface. Compared to conventional graphene oxide (GO), the presence of nano‐pores in hGO facilitates the homogeneous dispersion of Mo precursors and provides stronger interaction sites, promoting the uniform vertical alignment of O‐MoS2/NW. The synergistic interaction between O‐MoS2‐NW and hGO translates to enhanced electron conductivity, efficient electrolyte penetration, enhanced interlayer spacing, reduced restacking, and enhanced surface area. As a consequence of precise control of various factors that decide the overall battery performance, a high discharge capacity (227 mAh g−1 at 100 mA g−1) cathode material with significantly lower charge transfer resistance (66 Ω) compared to pristine O‐MoS2 (153 Ω) is developed. These findings underscore the potential of hGO as a multifunctional platform for nanoengineering high‐performance cathode materials for the next generation of efficient and durable ARZMBs.
Peptide‐Based Nanoparticles Suppress Hepatic Inflammation via Blockage of Human Antigen R
Authors: Chen Yu‐Fon , Wang Sheng‐Hung , Jan Jeng‐Shiung 
Published: September 2024

AbstractHuman antigen R (HuR), which is a mRNA‐binding protein that stabilizes and regulates mRNA translation, is found to have increased expression in inflammation, cancer and other diseases, making HuR to be a promising drug target. This study reports a peptide‐based nanoparticle (NP) system exhibits potent anti‐inflammatory activity to ameliorate acute liver injury via the ability of peptides to inhibit the mRNA binding site of HuR and block downstream signaling. Molecular modeling provided structural evidence indicating that the peptides interact with the RNA‐binding site of HuR, mainly via hydrogen‐bonding and hydrophobic interactions. These peptide‐based NPs can act as nanocarriers to deliver peptides into cells to compete with the mRNA binding site of HuR, evidenced by the reduction of antibody recognition to the native protein and the exhibition of anti‐inflammatory activity against activated macrophage cells, with no adverse effect in vitro and in vivo. In LPS/D‐GalN‐induced hepatic sepsis with high dosage of LPS/GalN, administration of the NPs significantly attenuated necrosis and HuR expression, resulting in the significant improvement of animal survival rate, suggesting their therapeutic potential for hepatic inflammation and a broad range of HuR‐overexpressed diseases.
Is Microporous Carbon Confined Nano Si Composite the Best Anode Choice for High‐Energy‐Density Lithium‐Ion Batteries?
Authors: Zhang Mengying , Xu Tao , Pan Lingbo , Sun Shanshan , Mei Tao , Qian Yong , Lin Ning 
Published: September 2024

AbstractMicroporous carbon confined nano silicon composites (Si/m‐C) are considered to be the best anode materials for high‐energy‐density lithium‐ion batteries compared with the other Si‐based materials such as SiO, due to high initial Coulombic efficiency (ICE) and capacity, as well as good cycling stability. However, there is a lack of multilevel comprehensive evaluation of Si/m‐C, which poses potential risks to the commercial application. Herein, combined with quantitative titration, mechanical characterization, and bulk/interface evolution analysis, a systematic evolution of commercialized Si/m‐C from the particle level to the cylindrical cell level is conducted, revealing the decay mechanism and proposing corresponding solutions. Among them, it is well demonstrated that the Si/m‐C still withstands huge volume expansion of over 200% with poor mechanical strength, causing the electrical contact loss of active LixSi and severe interfacial side reactions. Moreover, even blending more than 90% graphite cannot completely suppress its volumetric strain, and the combination of highly flexible single‐walled carbon nanotubes (SWCNT) is necessary. In response to this, the 32700‐type cylindrical cell with a designed capacity of 9.5 Ah is assembled by mixing Si/m‐C with 90% graphite and SWCNT as anode, achieving a long‐term cycling stability over 300 cycles at 0.5 C with a capacity retention of 94.8%.
Robustly Boosting Thermoelectric Performance of N‐Type PbSe via Lattice Plainification and Dynamic Doping
Authors: Gao Dezheng , Wen Yi , Bai Shulin , Wang Siqi , Liu Shibo , Li Yichen , Wang Lei , Zang Wujing , Su Xianli , Gao Xiang , Xie Hongyao , Zhao Li‐Dong 
Published: September 2024

AbstractIdeal thermoelectrics shall possess a high average ZT, which relies on high carrier mobility and appropriate carrier density at operating temperature. However, conventional doping usually results in a temperature‐independent carrier concentration, making performance optimization over a wide temperature range be challenging. This work demonstrates the combination of lattice plainification and dynamic doping strategies is an effective route to boost the average ZT of N‐type PbSe. Because Sn and Pb have similar ionic radii and electronegativity, this allows Sn to fill the intrinsic Pb vacancies and effectively improves the carrier mobility of PbSe to 1300 cm2 V−1 s−1. Furthermore, a trace amount of Cu is introduced into the Sn‐filled PbSe to optimize the carrier concentration. The extra Cu is situated in the interstitial sides of the lattice, which undergoes a dissolution‐precipitation process with temperature, leading to a strongly temperature‐dependent carrier density in the material. This dynamic doping effectively improves the electrical transport properties and is also valid to suppress the lattice thermal conductivity. Ultimately, the resulting PbSn0.004Se+3‰Cu obtains a maximum ZT of ≈1.7 at 800 K and an average ZT of ≈1.0, with a 7.7% power generation efficiency in a single‐arm device, showing significant potential for commercial application.
Renal liposarcoma in a guinea pig (Cavia porcellus)
Authors: Murciano Glenda , Martino Gomez Laura , Palomares Anna , Novellas Rosa , Martorell Jaume 
Published: September 2024

AbstractA 4‐year‐old, male, entire guinea pig (Cavia porcellus) was presented in stuporous state with hypoglycaemia, hypothermia and hypotension. After stabilising the animal, a complete blood cell count, biochemistry, survey radiographs and an abdominal ultrasound were performed. The abdominal ultrasound revealed a 3.2 × 5.4 cm soft tissue mass occupying the caudal half from lateral to medial part of the right kidney. To investigate further, a computed tomography scan with intravenous contrast was performed and confirmed the invasion of the mass into the caudal vena cava. A right nephrectomy was performed and submitted for histopathology, and a diagnosis of renal liposarcoma was made. The animal, although stable during surgery, died after recovery from anaesthesia. Spontaneous renal liposarcoma is rarely reported in human and veterinary medicine. This case report describes the clinical signs, diagnostic evaluation, surgical procedure, and gross and histological features of renal liposarcoma in a guinea pig.
Desarda versus Lichtenstein inguinal hernia repair: A meta‐analysis of randomized controlled trials
Authors: Pompeu Bernardo Fontel , Pasqualotto Eric , Marcolin Patrícia , Delgado Lucas Monteiro , Ponte Farias Ana Gabriela , Pigossi Beatriz D’Andrea , Guedes Lucas Soares de Souza Pinto , Poli de Figueiredo Sergio Mazzola 
Published: September 2024

AbstractBackgroundThe Lichtenstein technique is the gold standard for adult open inguinal hernia repair with mesh. The Desarda technique emerged in 2001 as a novel, promising non‐mesh technique that has demonstrated low recurrence and postoperative complications.MethodsWe searched MEDLINE, the Cochrane Central Register of Clinical Trials, and Embase for randomized controlled trials (RCT) published until April 2024. Odds ratios (ORs) with 95% confidence intervals (CIs) were pooled using a random‐effects model. Heterogeneity was assessed using Cochran's Q test and I2 statistics, with p‐values <0.10 and I2>25% considered significant. Statistical analysis was performed using the R software, version 4.1.2.ResultsEighteen RCTs comprising 1756 patients were included, of whom 861 (49%) were submitted to Desarda and 895 (51%) were submitted to Lichtenstein. Desarda was associated with lower seroma rates (OR 0.55; 95% CI 0.35–0.89; and p = 0.014), less operative time (MD −8.6 min; 95% CI −14.5 to −2.8; and p < 0.01), lower postoperative pain on day one (MD −1.3 VAS score; 95% CI −2.3 to −0.3; p < 0.01) or chronic pain (OR 0.32; 95% CI 0.12–0.88; and p = 0.028), and faster return‐to‐work activities (MD −2.1 days; 95% CI −3.7 to −0.6; and p < 0.01). The recurrence rate was 1.4% for Desarda versus 2.1% for Lichtenstein, with no statistical difference between techniques.ConclusionIn this meta‐analysis, Desarda significantly decreases seroma operative time, postoperative pain on day 1, chronic pain, and return‐to‐work activities.
Ligand-human serum albumin analysis: the near-UV CD and UV-Vis spectroscopic studies
Authors: Rogóż Wojciech , Owczarzy Aleksandra , Kulig Karolina , Maciążek-Jurczyk Małgorzata 
Published: September 2024

AbstractSpectroscopic methods offer many new opportunities to study protein–ligand interactions. The aim of this study was to evaluate the possibility of using near-UV CD as well as UV-Vis spectroscopic techniques to study the interaction between human serum albumin (HSA) and markers of Sudlow’s site I (warfarin, phenylbutazone) and II (ketoprofen, ibuprofen), as well as prednisolone and indapamide. In order to perform the planned measurements, near-UV CD spectropolarimetry and UV-Vis spectrophotometry have been used. It has been demonstrated that both techniques allow for rapid evaluation of non-covalent interactions between HSA and ligand, as well as identification of the HSA aromatic amino acid residues involved in this process. The near-UV CD spectroscopic data were more valuable than the analysis based on the second derivative of differential UV-Vis absorption spectra, especially for ligands with a non-specified binding site and low affinity towards HSA, such as prednisolone. The combination of both techniques makes it possible for comprehensive analysis of the interaction between HSA and ligands.
Causes of Musculoskeletal Pain in Paget’s Disease of Bone
Authors: Berg Kathryn , Dockrell Dervil , Colvin Lesley , Fraser William D , Tang Jonathan CY , Aspray Terry , Dennison Elaine , Divyateja Hrushikesh , Ghouri Nazim , Hanison Esther , Keen Richard , McCloskey Eugene , O’Neill Terence W , Rahman Faizanur , Siddiqi Mashood , Tuck Stephen , Turton Jane , Ralston Stuart H 
Published: September 2024

AbstractPaget’s disease of bone (PDB) is characterised by increased and disorganised bone remodelling leading to various complications, such as bone deformity, deafness, secondary osteoarthritis, and pathological fracture. Pain is the most common presenting symptom of PDB, but it is unclear to what extent this is due to increased metabolic activity of the disease, complications, or unrelated causes. We conducted a cross-sectional study of 168 people with PDB attending secondary care referral centres in the UK. We documented the presence of musculoskeletal pain and sought to determine its underlying causes. Musculoskeletal pain was reported by 122/168 (72.6%) individuals. The most common cause was osteoarthritis of joints distant from an affected PDB site in 54 (44.3%), followed by metabolically active PDB in 18 (14.7%); bone deformity in 14 (11.4%); osteoarthritis of a joint neighbouring an affected site in 11 (9.0%), neuropathic pain in 10 (8.2%), and various other causes in the remainder. Pain was more common in women (p<0.019) and in older individuals (p<0.001). Circulating concentrations of macrophage colony-stimulating factor (M-CSF) were significantly higher in those with pain (p = 0.008), but there was no difference between groups of patients with and without pain in concentrations of interleukin-6 (IL-6) or biochemical markers of bone turnover. Pain is a common symptom in PDB but is most often due to osteoarthritis at an unaffected site. The study illustrates the importance of fully evaluating people with PDB to determine the underlying cause of pain so that management can be tailored appropriately.
Accuracy of polyether and vinylpolysiloxane impressions when using different types of 3D-printed impression trays - an in vitro study
Authors: Rues Stefan , Depré David , Stober Thomas , Rammelsberg Peter , Zenthöfer Andreas 
Published: September 2024

Abstract
Objectives
To investigate dimensional accuracy of polyether (PE) and vinylpolysiloxane (VPS) impressions taken with manually fabricated and 3D-printed trays.

Materials and methods
To evaluate impression accuracy, highly precise digital data of a metallic lower jaw model with prepared teeth (regions 34 and 36), an implant (region 47) and three precision balls placed occlusally along the dental arch served as reference. PE (Impregum, 3M Oral Care) and VPS (Aquasil, Dentsply Sirona) impressions (n = 10/group) were taken with trays fabricated using different materials and manufacturing techniques (FDM: filament deposition modeling, material: Arfona Tray, Arfona; printer: Pro2, Raise3D; DLP: digital light processing, material: V-Print Tray, VOCO, printer: Max, Asiga; MPR: manual processing with light-curing plates, material: LC Tray, Müller-Omicron) including an open implant impression. Scans of resulting stone models were compared with the reference situation. Global distance and angular deviations as well as local trueness and precision for abutment teeth and scan abutment were computed. Possible statistical effects were analyzed using ANOVA.

Results
Clinically acceptable global accuracy was found (all mean absolute distance changes < 100 μm) and local accuracy for single abutments was excellent. All factors (abutment type, impression material, tray material) affected global accuracy (p < 0.05). In particular with PE impressions, MPR trays led to the best accuracies, both in horizontal and vertical direction.

Conclusions
Within the limitations of this in vitro study, impression accuracy was high in use of both polyether and vinylpolysiloxane combined with different 3D-printed and customized trays making them recommendable for at least impressions for smaller fixed dental prostheses. Manually fabricated trays were overall still the best choice if utmost precision is required.

Clinical relevance
Based on the results of this study, use of innovative CAD-CAM fabrication of individual impression trays fulfills the perquisites to be a viable option for impression making. In the sense of translational research, performance should be proved in a clinical setting.
Video game accessibility in the top-level genres
Authors: Guzsvinecz Tibor 
Published: September 2024

AbstractThis study aims to investigate the relationship between top-level game genres, release dates, game modes, and accessibility features in commercial video games. For this goal, datasets were created that included 25 games in 11 top-level genres except for experimental games. G-tests were used to examine differences in the proportions of accessibility features between genres, focusing on sensory, motor, and cognitive disabilities. Additionally, regression analyses were performed to assess the effect of genres, release dates, and single-player/multiplayer modes on the number of accessibility features. The results showed significant differences between the top-level genres and the number of all three types of accessibility features. Regression analyses showed significant effects of the top-level genres on the number of accessibility features, while release dates showed no significant influence. Game modes only had a significant effect on accessibility features regarding motor disabilities. In conclusion, the results of this study present genre-specific numbers of accessibility features in commercial video games. In other words, game developers create accessibility features differently depending on the genre. These findings have practical implications for both developers and players to enhance the inclusivity of the gaming experience. The results can also be used to increase awareness and commitment to the importance of accessibility features in the gaming industry, ultimately creating more inclusive commercial video games.
Personalised electric vehicle charging stop planning through online estimators
Authors: Shafipour Elnaz , Stein Sebastian , Ahipasaoglu Selin 
Published: September 2024

AbstractIn this paper, we address the problem of finding charging stops while travelling in electric vehicles (EVs) using artificial intelligence (AI). Choosing a charging station is challenging, because drivers have very heterogeneous preferences in terms of how they trade off the features of various alternatives (for example, regarding the time spent driving, charging costs, waiting times at charging stations, and the facilities provided at the charging stations). The key problem here is eliciting the diverse preferences of drivers, assuming that these preferences are typically not fully known a priori, and then planning stops based on each driver’s preferences. Our approach to solving this problem is to develop an intelligent personal agent that learns preferences gradually over multiple interactions. This study proposes a new technique that utilises a small-scale discrete choice experiment as a method of interacting with the driver in order to minimise the cognitive burden on the driver. Using this method, drivers are presented with a variety of routes with possible combinations of charging stops depending on the agent’s latest belief about their preferences. In subsequent iterations, the personal agent will continue to learn and refine its belief about the driver’s preferences, suggesting more personalised routes that are closer to the driver’s preferences. Based on real preference data from EV drivers, we evaluate our novel algorithm and show that, after only a few queries, our method quickly converges to the optimal routes for EV drivers [This paper is an extended version of an ECAI workshop short paper (Shafipour Yourdshahi et al., in: ECAI 2023 workshops, Kraków, Poland, 2023)].
Preparedness for practice, competency and skill development and learning in rural and remote clinical placements: A scoping review of the perspective and experience of health students
Authors: Hepburn Stevie-Jae , Fatema Syadani Riyad , Jones Rikki , Rice Kylie , Usher Kim , Williams Jen 
Published: September 2024

AbstractWhen considering health professionals’ requirements and responsibilities, competence is a complex concept that extends beyond knowledge to encompass understanding, application, technical skills, problem-solving, and clinical judgment. Rural clinical placements provide a rich learning environment for students to improve their competencies, self-esteem, and preparedness for practice (PFP). This scoping review aimed to identify pre-registration health students’ perspectives on rural placement regarding competency and skill development, and enablers and barriers to learning. The methodology outlined by the Joanna Briggs Institute was followed. Out of 1186 records (366 duplicates), 821 were screened by title and abstract, 59 underwent full-text screening and 18 studies were included. Over half the studies included medicine students (n = 11). Reported competencies predominantly focused on self-assessed confidence regarding clinical skills. The reported barriers and enablers to learning highlighted the complexity of the placement experience and the importance of interpersonal factors, learner engagement and the supervisor’s role. The review identified a gap in the literature pertaining to student perspectives of competencies and skills not assessed or experienced as well as a lack of standardised measures for PFP. The identified enablers and barriers provide suggestions for rural placement design and emphasise the importance of the student learning experience. Future research could include multiple health disciplines and specific methodologies to identify health students’ perspectives regarding the development of competency, relatedness and autonomy, that is how to support health students to think, feel and act like health professionals.
Self-adjusted graph based semi-supervised embedded feature selection
Authors: Zhu Jianyong , Zheng Jiaying , Zhou Zhenchen , Ding Qiong , Nie Feiping 
Published: September 2024

AbstractGraph-based semi-supervised feature selection has aroused continuous attention in processing high-dimensional data with most unlabeled and fewer data samples. Many graph-based models perform on a pre-defined graph, which is separated from the procedure of feature selection, making the model hard to select the discriminative features. To address this issue, we exploit a self-adjusted graph for semi-supervised embedded feature selection method (SAGFS), which learns an optimal sparse similarity graph to replace the pre-defined graph to alleviate the effect of data noise. SAGFS allows the learned graph itself to be adjusted according to the local geometric structure of the data and the procedure of selecting features to select the most representative features. Besides that, we introduce $$l_{2,p}$$

l

2
,
p

-norm to constrain the projection matrix for efficient feature selection. An efficient alternating optimization algorithm is presented, together with analyses on its convergence. Systematical experiments on several publicly datasets are performed to analyze the proposed model from several aspects, and demonstrate that our approaches outperform other comparison methods.
A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation
Authors: Zakeri Shervin , Konstantas Dimitri , Sorooshian Shahryar , Chatterjee Prasenjit 
Published: September 2024

AbstractThis paper proposes a novel decision-support system (DSS) to assist decision-makers in the ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland. Specifically, it aids in selecting the best scenario for incorporating AVs into Geneva’s public transportation system. The proposed DSS is architected on a combined integrated framework that includes a machine learning (ML) algorithm, random forest (RF) algorithm, and three novel multi-criteria decision-making (MCDM) algorithms: (1) Modified E-ARWEN (ME-ARWEN) for selecting the best scenario with high sensitivity; (2) Compromiser—Positive, Neutral, Negative (Compromiser-PNN) for extracting weights from stakeholders, considering their preferences and potential conflicts; and (3) Collective Weight Processor (CWP) for deriving weights from expert opinions. Besides the main objective, this article also aims to: (1) Address the gap in practical DSS software within AV-related studies by providing Python codes of the DSS; (2) Develop a highly sensitive and comprehensive MCDM framework to address the project’s needs; and (3) Employ Artificial Intelligence within the DSS to optimize outputs. By the application of the proposed DSS, four scenarios were evaluated: (1) Full integration of AVs; (2) Partial integration; (3) Pilot project in limited areas; and (4) Delayed integration. The analysis identified partial integration as the best scenario for integrating AVs. Furthermore, comprehensive analyses conducted to validate the DSS outputs demonstrated the reliability of the results.