bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural basis for transthiolation intermediates in the ubiquitin pathway
Authors: Kochańczyk Tomasz , Hann Zachary S. , Lux Michaelyn C. , Delos Reyes Avelyn Mae V. , Ji Cheng , Tan Derek S. , Lima Christopher D. 
Published: August 2024

AbstractTransthiolation (also known as transthioesterification) reactions are used in the biosynthesis of acetyl coenzyme A, fatty acids and polyketides, and for post-translational modification by ubiquitin (Ub) and ubiquitin-like (Ubl) proteins1–3. For the Ub pathway, E1 enzymes catalyse transthiolation from an E1~Ub thioester to an E2~Ub thioester. Transthiolation is also required for transfer of Ub from an E2~Ub thioester to HECT (homologous to E6AP C terminus) and RBR (ring-between-ring) E3 ligases to form E3~Ub thioesters4–6. How isoenergetic transfer of thioester bonds is driven forward by enzymes in the Ub pathway remains unclear. Here we isolate mimics of transient transthiolation intermediates for E1–Ub(T)–E2 and E2–Ub(T)–E3HECT complexes (where T denotes Ub in a thioester or Ub undergoing transthiolation) using a chemical strategy with native enzymes and near-native Ub to capture and visualize a continuum of structures determined by single-particle cryo-electron microscopy. These structures and accompanying biochemical experiments illuminate conformational changes in Ub, E1, E2 and E3 that are coordinated with the chemical reactions to facilitate directional transfer of Ub from each enzyme to the next.
Synthesis of superparamagnetic Fe3O4–graphene oxide-based material for the photodegradation of clonazepam
Authors: da Silva Maryne Patrícia , de Souza Ana Caroline Alves , Ferreira Ágata Rodrigues Deodato , do Nascimento Pedro Lucas Araújo , Fraga Tiago José Marques , Cavalcanti Jorge Vinícius Fernandes Lima , Ghislandi Marcos Gomes , da Motta Sobrinho Maurício Alves 
Published: August 2024

AbstractThe global concern over water pollution caused by contaminants of emerging concern has been the subject of several studies due to the complexity of treatment. Here, the synthesis of a graphene oxide-based magnetic material (GO@Fe3O4) produced according to a modified Hummers’ method followed by a hydrothermal reaction was proposed; then, its application as a photocatalyst in clonazepam photo-Fenton degradation was investigated. Several characterization analyses were performed to analyze the structure, functionalization and magnetic properties of the composite. A 23 factorial design was used for the optimization procedure to investigate the effect of [H2O2], GO@Fe3O4 dose and pH on clonazepam degradation. Adsorption experiments demonstrated that GO@Fe3O4 could not adsorb clonazepam. Photo-Fenton kinetics showed that total degradation of clonazepam was achieved within 5 min, and the experimental data were better fitted to the PFO model. A comparative study of clonazepam degradation by different processes highlighted that the heterogeneous photo-Fenton process was more efficient than homogeneous processes. The radical scavenging test showed that $${O}_{2}^{\cdot -}$$

O

2

·
-

was the main active free radical in the degradation reaction, followed by hydroxyl radicals (•OH) and holes (h+) in the valence layer; accordingly, a mechanism of degradation was proposed to describe the process.
Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation
Authors: Spiliotis Konstantinos , Appali Revathi , Fontes Gomes Anna Karina , Payonk Jan Philipp , Adrian Simon , van Rienen Ursula , Starke Jens , Köhling Rüdiger 
Published: August 2024

AbstractA large-scale biophysical network model for the isolated striatal body is developed to optimise potential intrastriatal deep brain stimulation applied to, e.g. obsessive-compulsive disorder. The model is based on modified Hodgkin–Huxley equations with small-world connectivity, while the spatial information about the positions of the neurons is taken from a detailed human atlas. The model produces neuronal spatiotemporal activity patterns segregating healthy from pathological conditions. Three biomarkers were used for the optimisation of stimulation protocols regarding stimulation frequency, amplitude and localisation: the mean activity of the entire network, the frequency spectrum of the entire network (rhythmicity) and a combination of the above two. By minimising the deviation of the aforementioned biomarkers from the normal state, we compute the optimal deep brain stimulation parameters, regarding position, amplitude and frequency. Our results suggest that in the DBS optimisation process, there is a clear trade-off between frequency synchronisation and overall network activity, which has also been observed during in vivo studies.
Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter
Authors: Baqir Anees , Ali Mubashir , Jaffar Shaista , Sherazi Hafiz Husnain Raza , Lee Mark , Bashir Ali Kashif , Al Dabel Maryam M. 
Published: August 2024

AbstractThe COVID-19 pandemic has disrupted people’s lives and caused significant economic damage around the world, but its impact on people’s mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic has raised serious concerns related to mental health among the masses. However, no systematic investigations have been conducted previously on mental health monitoring and, in particular, detection of post-traumatic stress disorder (PTSD). The goal of this study is to use classical machine learning approaches to classify tweets into COVID-PTSD positive or negative categories. To this end, we employed various Machine Learning (ML) classifiers, to segregate the psychotic difficulties with the user’s PTSD in the context of COVID-19, including Random Forest Support Vector Machine, Naïve Bayes, and K-Nearest Neighbor. ML models are trained and tested using various combinations of feature selection strategies to get the best possible combination. Based on our experimentation on real-world dataset, we demonstrate our model’s effectiveness to perform classification with an accuracy of 83.29% using Support Vector Machine as classifier and unigram as a feature pattern.
Correlated normal state fermiology and topological superconductivity in UTe2
Authors: Choi Hong Chul , Lee Seung Hun , Yang Bohm-Jung 
Published: August 2024

AbstractUTe2 is a promising candidate for spin-triplet superconductors, in which a paramagnetic normal state becomes superconducting due to spin fluctuations. Here, we theoretically show that electron correlation induces a dramatic change in the normal state fermiology with an emergent correlated Fermi surface (FS) driven by Kondo resonance at low temperatures. This emergent correlated FS can account for various unconventional superconducting properties in a unified way. In particular, the geometry of the correlated FS can naturally host topological superconductivity in the presence of odd-parity pairings, which become the leading instability due to strong ferromagnetic spin fluctuations. Moreover, two pairs of odd-parity channels appear as nearly degenerate solutions which may lead to time-reversal breaking multicomponent superconductivity. The resulting time-reversal-breaking superconducting state is a Weyl superconductor in which Weyl points migrate along the correlated FS as the relative magnitude of nearly degenerate pairing solutions varies.
Wearable sensors for monitoring chronic kidney disease
Authors: Han Sanggil , Yamamoto Shunsuke , Jung Chan-Young , Jin Do Young , Lee Taegyu , Kim Jun-Seob 
Published: August 2024

AbstractWearable sensors have evolved significantly, making personalized medicine and real-time disease management possible. However, current digital healthcare is limited to only certain diseases, such as diabetes, due to the lack of mature technologies that can detect small biomolecules. In particular, despite the early detection of chronic kidney disease (CKD) being significant in preventing life-threatening end-stage kidney disease, the development of wearable sensors for CKD monitoring is still in the early stages. In this Perspective, we propose a wearable digital healthcare concept for non-invasive, continuous CKD monitoring, discuss optimal biofluids, biomarkers and bioreceptors to create a wearable CKD sensing platform, and provide insight into potential challenges faced by the technology as well as opportunities.
Satellite cell-derived TRIM28 is pivotal for mechanical load- and injury-induced myogenesis
Authors: Lin Kuan-Hung , Hibbert Jamie E , Flynn Corey GK , Lemens Jake L , Torbey Melissa M , Steinert Nathaniel D , Flejsierowicz Philip M , Melka Kiley M , Lindley Garrison T , Lares Marcos , Setaluri Vijayasaradhi , Wagers Amy J , Hornberger Troy A 
Published: August 2024

AbstractSatellite cells are skeletal muscle stem cells that contribute to postnatal muscle growth, and they endow skeletal muscle with the ability to regenerate after a severe injury. Here we discover that this myogenic potential of satellite cells requires a protein called tripartite motif-containing 28 (TRIM28). Interestingly, different from the role reported in a previous study based on C2C12 myoblasts, multiple lines of both in vitro and in vivo evidence reveal that the myogenic function of TRIM28 is not dependent on changes in the phosphorylation of its serine 473 residue. Moreover, the functions of TRIM28 are not mediated through the regulation of satellite cell proliferation or differentiation. Instead, our findings indicate that TRIM28 regulates the ability of satellite cells to progress through the process of fusion. Specifically, we discover that TRIM28 controls the expression of a fusogenic protein called myomixer and concomitant fusion pore formation. Collectively, the outcomes of this study expose the framework of a novel regulatory pathway that is essential for myogenesis.
Visible-light-driven α-hydroxylation of β-dicarbonyl compounds mediated by NaI/NPh3 or NaI/PPh3 in water
Authors: Wang Yan , Wang Zhongjie , Luo Hui , Wang Guohui , Shi Zhendong , Ma Yinfeng , Wu Jianglong , Li Dianjun , Yang Jinhui 
Published: August 2024

A mild and efficient light-mediated CH-hydroxylation of carbonyl compounds with water in the aqueous phase has been developed. Most attractively, NaI-NPh3 was initially employed as an intermediate for photovoltaic conversion and electron transfer.
To target cellular senescence in diabetic kidney disease: the known and the unknown
Authors: Wei Yuehan , Mou Shan , Yang Qing , Liu Fang , Cooper Mark E. , Chai Zhonglin 
Published: August 2024

Abstract
Cellular senescence represents a condition of irreversible cell cycle arrest, characterized by heightened senescence-associated beta-galactosidase (SA-β-Gal) activity, senescence-associated secretory phenotype (SASP), and activation of the DNA damage response (DDR). Diabetic kidney disease (DKD) is a significant contributor to end-stage renal disease (ESRD) globally, with ongoing unmet needs in terms of current treatments. The role of senescence in the pathogenesis of DKD has attracted substantial attention with evidence of premature senescence in this condition. The process of cellular senescence in DKD appears to be associated with mitochondrial redox pathways, autophagy, and endoplasmic reticulum (ER) stress. Increasing accumulation of senescent cells in the diabetic kidney not only leads to an impaired capacity for repair of renal injury, but also the secretion of pro-inflammatory and profibrotic cytokines and growth factors causing inflammation and fibrosis. Current treatments for diabetes exhibit varying degrees of renoprotection, potentially via mitigation of senescence in the diabetic kidney. Targeting senescent cell clearance through pharmaceutical interventions could emerge as a promising strategy for preventing and treating DKD. In this paper, we review the current understanding of senescence in DKD and summarize the possible therapeutic interventions relevant to senescence in this field.
A Psycholinguistic Approach to the Management of Aphasia in a Case of Left Parietal Stroke
Authors: Yetter Audra W. 
Published: August 2024

Purpose:
The purpose of this study was to illustrate the use of a psycholinguistic model of aphasia as a guide to inform clinical management in a case of left parietal stroke, in a typical hospital outpatient setting.

Method:
This study used a case report with retrospective chart review.

Results:
A 79-year-old man developed acute speaking difficulty and was diagnosed with a left ischemic parietal stroke. A psycholinguistic approach was applied to conceptualize the underlying nature of the aphasia as well as to navigate various treatment decisions. Based upon the resultant aphasia profile demonstrating broad phonological impairment of word production, phonomotor treatment was implemented.

Conclusion:
Incorporating psycholinguistic theories and practices into the clinical management of aphasia can provide clinicians with a relevant framework to guide clinical decision making through precise delineation of the nature of aphasia and selection of correspondingly targeted interventions.
Optimization strategy of UAV‐ARIS assisted vehicular communication system
Authors: Zhao Haitao , Xu Zhuoran , Ni Yiyang , Sun Wenxue , Zhu Hongbo , Liu Yaxuan , Mo Zhaoying 
Published: August 2024

AbstractIn recent years, the Integrated Satellite Aerial Terrestrial (I‐SAT) network has garnered significant attention as an innovative and integrated communication system. However, it still encounters interference in the face of the complex external environment. In this context, reconfigurable intelligent surface (RIS) provides a key way of solving this problem and effectively improves the performance and stability of the I‐SAT network. This article considers the combination of unmanned aerial vehicle (UAV) and RIS and proposes a novel architecture for sub‐connected active RIS (ARIS) under the energy consumption constraints of UAV and ARIS. The authors first provide a UAV‐ARIS based position prediction strategy for the vehicle. Then, a joint RIS phase shift, amplification and UAV trail optimization algorithm is proposed to pursue a high achievable rate. The interference between each link and the total energy consumption are all taken into consideration. In addition, a deep deterministic policy gradient (DDPG) algorithm is utilized for the optimization problem, and achieves convergence in continuous action space. Finally, the simulation results affirm the precision of the proposed method in significantly enhancing performance compared to other schemes.
Enhanced control of double integrating plus time delay systems using a two‐degree‐of‐freedom Smith predictor
Authors: Tavakoli Saeed 
Published: August 2024

AbstractThis article presents a novel control approach using a two‐degree‐of‐freedom (2‐DOF) Smith predictor structure for double integrating plus time delay plants. The PD and PID controllers, integral components of the Smith predictor scheme, serve distinct roles in the control process. The PD controller is responsible for set‐point tracking, while both PD and PID controllers contribute to the rejection of load disturbances. Each controller is designed using the pole placement technique, with an appropriate tuning parameter established to balance performance and robustness effectively. A low‐pass filter is incorporated to improve the response of the set‐point signal by attenuating high‐frequency noise. The proposed method's effectiveness is compared with Skogestad internal model control, a well‐known PID tuning method, to benchmark performance improvements and demonstrate the advantages of the 2‐DOF Smith predictor approach. Simulation and comparison analysis demonstrates that the proposed controller setting is suitable for industrial applications due to its quick set‐point tracking, effective load disturbance rejection, and smooth control signal. The study highlights the practical benefits of the 2‐DOF Smith predictor in enhancing industrial control system performance and suggests directions for future research, including experimental validation and robustness analysis under varying system parameters.
Dynamic optimisation of virtual synchronous generator to enhance stability of power system
Authors: Koiwa Kenta , Tomabechi Akira , Zanma Tadanao , Liu Kang‐Zhi 
Published: August 2024

AbstractVirtual synchronous generators (VSGs) are essential for the high penetration of renewable energy sources. VSGs have virtual rotating inertia, a damping effect, and synchronising power such as actual SGs. Such features of VSGs offer a promising structure to improve the stability of power systems. VSGs are required to suppress power and system frequency oscillations. In addition, VSGs must operate within a current limit since they are vulnerable to the overcurrent, unlike actual SGs. The authors propose a novel dynamic and optimal VSG to enhance the frequency stability in power systems while guaranteeing the current limit. The proposed approach determines an optimal tuple of inertia and damping of VSG online and guarantees the current limit with the use of a circuit model. The effectiveness of the proposed method is demonstrated via experiments, comparing it with the conventional methods.
Impact of Donor, Host, and Surgical Parameters on High Endothelial Cell Density More Than 5 Years after Penetrating Keratoplasty
Authors: Sneyers Albéric , Daas Loay , Zemova Elena , Quintin Adrien , Munteanu Cristian , Seitz Berthold 
Published: August 2024

Abstract
Objectives To investigate the correlation between postoperative endothelial cell loss (ECL) and donor, host, and surgical parameters, and to assess the clinical impact of maintaining a high endothelial cell density (ECD) of ≥ 1500 cells/mm2 5 years after penetrating keratoplasty (PKP).
Methods This retrospective cohort study included 216 eyes with 5 years of follow-up, of which 94 had annual visits, and who underwent normal-risk elective PKP for noninfectious indications by one corneal microsurgeon (B. S.) between 2009 and 2016.
Results Among the 216 eyes, ECL (39.1%) over 5 years postoperative exhibited weak positive correlations with storage solution time (p = 0.024) and postmortem time (p = 0.028), and moderately positively correlations with the preoperative ECD (p < 0.001). The 5-year postoperative ECL differed significantly between in domo-prepared (36.8%) and ex domo donor corneas (46.3%; p = 0.001). In the 94 eyes, no significant differences were found between the two groups for central pupil pachymetry (CCT) and BCVA (p > 0.074). However, CCT increased significantly between 1 and 4 years (p = 0.034) and 1 and 5 years postoperatively (p = 0.012), respectively. BCVA improved significantly at 1 year postoperatively and continued to improve until 2 years postoperatively (p < 0.001).
Conclusion The Lions corneal bank Saar-Lor-Lux achieved a significantly reduced ECL (36.8%) over 5 years compared to ex domo donor corneas (46.3%). A weak positive correlation was found between ECL with the storage solution time and the postmortem time, as well as a moderate positive correlation with the preoperative ECD. Although CCT increased significantly over 5 years, BCVA improved significantly from the first to the second postoperative year and remained stable thereafter.
Efficacy and safety of radial incision and cutting for nonsurgical refractory benign esophageal stricture
Authors: Mitani Yosuke , Hirohashi Kenshiro , Tamaoki Masashi , Yokoyama Akira , Katada Chikatoshi , Ueda Aya , Yamahigashi Natsuko , Higuchi Hirokazu , Muto Manabu 
Published: August 2024

Abstract
Background and study aims Radial incision and cutting (RIC) was established to improve refractory esophageal anastomotic strictures but its efficacy and safety for nonsurgical refractory strictures remain unclear. To evaluate the usefulness of RIC in nonsurgical refractory strictures, we retrospectively compared outcomes between nonsurgical and surgical strictures.
Patients and methods We retrospectively studied 54 consecutive patients who were initially treated with RIC for refractory benign esophageal stricture. The study variables included dysphasia score improvement rate, frequency of repeated RIC, cumulative patency rate, cumulative stricture improved rate, and adverse events(AEs), which were compared between nonsurgical (n = 21) and surgical (n = 33) stricture groups.
Results Immediately after RIC, 90.5% of patients in the nonsurgical group and 84.8% of patients in the surgical group had improvement in dysphagia (P = 0.69). The frequency of intervening repeated RIC was 42.9% in the nonsurgical group and 42.4% in the surgical group (P = 0.98). During median follow-up of 22.3 months (range, 1.0–175.0), the cumulative patency rate (P = 0.23) and cumulative stricture improvement rate (P = 0.14) but there was not statistical difference between the two groups. Despite a low cumulative stricture improvement rate (9.5%) at 6 months after the first RIC in the nonsurgical group, 57.7% of patients no longer required endoscopic balloon dilatation at 2 years. The cumulative stricture improvement rate was significantly lower in patients with a history of radiation therapy. No severe AEs were observed in the nonsurgical group.
Conclusions RIC for nonsurgical refractory benign esophageal
stricture is an effective and safe treatment option.
Predictors of Extended Length of Stay Following Open Reduction and Internal Fixation for Distal Radius Fractures
Authors: Smolev Emma , Sriram Varun , Kim Matthew , Kennedy John , Leatherwood William , Komatsu David E. , Wang Edward D. 
Published: August 2024

Abstract
Background An extended length of stay (eLOS) following open reduction and internal fixation (ORIF) for distal radius fractures has been associated with increased patient morbidity and health care costs. The primary objective of this study was to identify risk factors, including patient characteristics, comorbidities, and postoperative complications, which are associated with an eLOS following ORIF for distal radius fractures.
Methods All patients who underwent ORIF for distal radius fractures between 2015 and 2021 were queried from the American College of Surgeons National Surgical Quality Improvement Program database. Postoperative complications were reported within 30 days of procedure. eLOS was defined by ≥3 days from operation to discharge. We identified a total of 26,138 patients and 5.1% (1,323) of patients had an eLOS. Multivariate logistic regression, adjusted for all significantly associated variables, was employed to identify predictors of eLOS following ORIF.
Results Characteristics of patients significantly associated with eLOS were age ≥ 75 (p < 0.001), male gender (p = 0.006), body mass index < 18.5 (p < 0.001), American Society of Anesthesiologists (ASA) ≥ 3 (p < 0.001), dependent functional status (p < 0.001), noninsulin-dependent diabetes (p < 0.001), chronic obstructive pulmonary disorder (COPD) (p < 0.001), ascites (p = 0.005), congestive heart failure (CHF) (p < 0.001), hypertension (p < 0.001), chronic steroid use (p = 0.004), bleeding disorder (p < 0.001), and transfusion ≥ packed red blood cell (pRBC) 72 hours before surgery (p < 0.001). After controlling for significantly associated variables, predictors of eLOS were age ≥ 75 (reference < 65; odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.24–1.46; p < 0.001), ASA ≥ 3 (OR: 1.79, 95% CI: 1.54–2.01; p < 0.001), male gender (OR: 1.32, 95% CI: 1.13–1.54; p < 0.001), COPD (OR: 1.48, 95% CI: 1.15–1.91; p = 0.003), CHF (OR: 1.94, 95% CI: 1.10–3.42; p = 0.022), bleeding disorder (OR: 1.93, 95% CI: 1.45–2.58; p < 0.001), transfusion ≥ 1 pRBC before surgery (OR: 27.65 95% CI: 58.22–93.02; p < 0.001), bleeding transfusion (OR: 76.70, 95% CI: 15.13–388.81; p < 0.001), septic shock (OR: 13.31, 95% CI: 1.99–88.97; p = 0.008), and nonhome discharge (OR: 34.31, 95% CI: 28.21–41.72; p < 0.001).
Clinical Relevance Age ≥ 75, ASA ≥ 3, male gender, COPD, CHF, bleeding disorder, transfusion pRBC, bleeding transfusion, septic shock, and nonhome discharge were associated with eLOS following ORIF for distal radius fractures.
Level of Evidence Level III; retrospective cohort comparison; prognosis study