bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and risk factors for falls among community-dwelling adults in Riyadh area
Authors: Alenazi Aqeel M. , Alanazi Maram F. , Elnaggar Ragab K. , Alshehri Mohammed M. , Alqahtani Bader A. , Alhowimel Ahmed S. , Alhwoaimel Norah A. , Alanazi Ahmad D. , Alotaibi Mazyad A. , Almutairi Sattam M. , Alghamdi Mohammed S. , Bindawas Saad M. 
Published: December 2023

Objectives
This study aimed to assess fall prevalence, identify related risk factors, and establish cut-off scores for fall risk measures among community-dwelling adults in Riyadh region of Saudi Arabia.

Methods
A cross-sectional study was conducted in community, Riyadh city, Saudi Arabia. A sample of 276 Saudi citizens aged ≥40 years who were able to read and write in Arabic. Fall history and number of falls in the past 12 months were determined via self-reports. Variables assessed included demographic information, self-reported chronic diseases, depressive symptoms, and back pain severity.

Results
Participants were classified as either fallers (n = 28, 10.14%) or non-fallers. Fallers were more likely to have arthritis (odds ratio [OR]: 7.60, p = 0.001), back pain (OR: 5.22, p = 0.002), and higher depressive symptom scores (OR: 1.09, p = 0.013) than non-fallers. The number of reported falls was significantly associated with an elevated body mass index (incidence rate ratio [IRR]: 1.09, p = 0.045), arthritis (IRR: 8.74, p < 0.001), back pain (IRR: 4.08, p = 0.005), neurological diseases (IRR: 13.75, p < 0.007), and depressive symptoms (IRR: 1.08, p = 0.005). Cut-off scores predictive of falls associated with back pain and depressive symptoms were 1.5 (sensitivity: 0.61; specificity: 0.79; area under the curve [AUC]: 0.70) and 11.5 score (sensitivity: 0.57; specificity: 0.76; AUC: 0.66), respectively.

Conclusions
The prevalence of falls was relatively low among the individuals considered in this study. Chronic conditions, back pain severity, and depressive symptoms were determined to be associated with falls among community-dwelling individuals in Saudi Arabia.
Digital PBL-CBL teaching method improves students’ performance in learning complex implant cases in atrophic anterior maxilla
Authors: Chen Dan , Zhao Wenyan , Ren Li , Tao Kunli , Li Miaomiao , Su Beiju , Liu Yunfei , Ban Chengzhe , Wu Qingqing 
Published: December 2023

Background
The clinical teaching of esthetic implant-supported restoration of the atrophic maxilla is challenging due to the complexity and unpredictability of bone and soft tissue augmentation. The traditional problem-based learning and case-based learning method (PBL-CBL method) with a full digital workflow (digital PBL-CBL method) provides the students a chance to view clinical cases in a more accurate and measurable way. The aim is to evaluate the effectiveness of the new digital PBL-CBL method in teaching complex implant cases in esthetic area.

Materials & Methods
A full digital workflow of dental implant therapy was established for patients with severely atrophic anterior maxilla. The digital data of cases done in the new workflow was used as teaching materials in digital PBL-CBL teaching. Fifty-four postgraduate students were randomly selected and divided into three groups, including traditional PBL-CBL group (students taught in a PBL-CBL method with no digital cases), digital PBL-CBL group (students taught in a PBL-CBL method with full digital cases) and control group (students taught in didactic teacher-centered method). After training for three months, a study of the students’ opinions on the corresponding teaching method was carried out through a feedback questionnaire. A theory test was used to evaluate students’ mastery of knowledge about tissue augmentation and esthetic implant restoration. A case analysis was used to determine whether students could apply the knowledge to problem solving.

Results
The digital PBL-CBL method resulted in a higher rate of satisfaction than the traditional PBL-CBL method and the didactic teacher-centered method in all items except for “This approach decreases extracurricular work”. Case analysis scores of the digital PBL-CBL group were significantly higher than that of the traditional PBL-CBL group and the control group. For the theory test, the digital PBL-CBL group (61.00 ± 6.80) but not traditional PBL-CBL group (55.22 ± 9.86) obtained a significant higher score than the control group (45.11 ± 12.76), although no significant difference was found between the digital PBL-CBL group and the traditional PBL-CBL group.

Conclusion
Compared with other methods, students taught with the digital PBL-CBL method showed higher satisfaction and better performance in acquisition of academic knowledge and ability in solving practical clinical problems. The digital PBL-CBL method provided a promising alternative for teaching complex implant cases at the anterior maxilla.
Covalent Organic Frameworks Enable Sustainable Solar to Hydrogen Peroxide
Authors: Tan Deming , Zhuang Rong , Chen Ruichong , Ban Miaohan , Feng Wei , Xu Fei , Chen Xiong , Wang Qingyuan 
Published: December 2023

AbstractAs a chemical product with rapidly expanding demand in the field of modern energy and environmental applications, hydrogen peroxide (H2O2) has garnered widespread attention. However, the existing industrial production of H2O2 is plagued by high energy consumption, harmful waste emission, and severe safety issues, making it difficult to satisfy the environmental/economic production concept. Artificial photosynthesis offers a viable strategy for green and sustainable H2O2 production since it uses sunlight as an energy source to initiate the reaction of oxygen and water to produce H2O2. Among various photocatalysts, covalent organic frameworks (COFs), featuring highly ordered skeletons and well‐defined active sites, have emerged as promising photocatalysts for H2O2 production. This review presents the nascent and burgeoning area of photocatalytic H2O2 production based on COFs. First, a brief overview of photocatalytic technology is provided, followed by a detailed introduction to the principles and evaluation of the photocatalytic H2O2 generation. Subsequently, the latest research progress on the judicious design of COFs for H2O2 photosynthesis is expounded, with a particular emphasis on manipulating the electronic structures and redox active sites. Finally, an outlook on the challenges and future opportunities is proposed, in the hope of stimulating further explorations of novel molecular‐designed COFs for sustainable photosynthesis.
Exceptional Point in a Microwave Plasmonic Dipole Resonator for Sub‐Microliter Solution Sensing
Authors: Bai Tian Shuo , Wang Wan Zhu , Zhang Xuanru , Cui Tie Jun 
Published: December 2023

AbstractMicrowave resonance sensing has attracted significant interest due to its promising potential in developing ultracompact integrated sensors. For biomedical sensing applications, it is required to realize high sensitivity to tiny volumes of solution using such long microwave wavelengths. Here, a chiral microwave plasmonic resonator, which can induce exceptional point (EP) state based on the coalescence of non‐Hermitian dipole eigenmodes, is proposed. The intrinsically geometric asymmetry leads to strong asymmetry of non‐Hermitian Hamiltonian and strong coupling between the two non‐degenerate dipoles, hence resulting in significantly enhanced frequency splitting signals. Benefiting from the subwavelength dipole resonances, the proposed resonator has advantages of the EP state's high sensitivity to tiny targets and strong plasmonic wavelength compression. Its sensing performance is experimentally validated by metal scatterer detection and glucose solution measurement. The minimum detectable metal scatterer features a diameter of λ0/280 and a volume of 2.9 × 10−9 λ03 (λ0 is free‐space wavelength). The solution volume under detection features a volume of 4.4 × 10−7 λ03 and the reporting limit for glucose reaches 0.26 µmol. These results envision a feasible route for trace‐amount biomedical sensing at the microwave frequencies.
From Liquid to Solid‐State Batteries: Li‐Rich Mn‐Based Layered Oxides as Emerging Cathodes with High Energy Density
Authors: Kong Wei‐Jin , Zhao Chen‐Zi , Sun Shuo , Shen Liang , Huang Xue‐Yan , Xu Pan , Lu Yang , Huang Wen‐Ze , Huang Jia‐Qi , Zhang Qiang 
Published: December 2023

AbstractLi‐rich Mn‐based (LRMO) cathode materials have attracted widespread attention due to their high specific capacity, energy density, and cost‐effectiveness. However, challenges such as poor cycling stability, voltage deca,y and oxygen escape limit their commercial application in liquid Li‐ion batteries. Consequently, there is a growing interest in the development of safe and resilient all‐solid‐state batteries (ASSBs), driven by their remarkable safety features and superior energy density. ASSBs based on LRMO cathodes offer distinct advantages over conventional liquid Li‐ion batteries, including long‐term cycle stability, thermal and wider electrochemical windows stability, as well as the prevention of transition metal dissolution. This review aims to recapitulate the challenges and fundamental understanding associated with the application of LRMO cathodes in ASSBs. Additionally, it proposes the mechanisms of interfacial mechanical and chemical instability, introduces noteworthy strategies to enhance oxygen redox reversibility, enhances high‐voltage interfacial stability, and optimizes Li+ transfer kinetics. Furthermore, it suggests potential research approaches to facilitate the large‐scale implementation of LRMO cathodes in ASSBs.
Carbon Dots: A Multifunctional Nano‐Sized Giant Tool for the Detection Probe and Physical Reformation of NiMoO4 in Solid‐State for Enriched Energy Storage Application
Authors: Annamalai Arun , Annamalai Kumaresan , Ayyanduarai Nagarajan , Ravichandran Ramya , Annamalai Padmanaban , Valdes Hector , Elumalai Sundaravadivel 
Published: December 2023

AbstractDesigning low‐cost, effective and greener materials via a non‐sophisticated strategy is most important for future research. Here, they made a new dual endeavor using carbon dots (CDs) as an environment protection probe for selective detection of environmental toxins, followed by the solid‐state structural reformer to prepare NiMoO4 (NM) via mechanochemical‐based solid grinding method. The prepared CDs, NM and NM‐CDs combination is examined through various techniques. The prepared CDs selectively detect Cr6+, Ru3+, and Doxycycline independently. Also, in this work, a groundbreaking strategy is found to prepare morphology‐tailored NM using CDs through a solid‐state grinding method without adding any other toxic solvents or reagents. The CDs‐induced NM‐CDs (15) look like a 2D nano‐sheet with enriched surface area compared to its bare NM. The fabricated electrode provides the highest capacitance value of 1947 F g−1, almost three times grander than the bare 1D rod‐like electrode. Then, fabricated asymmetric supercapacitor NM‐CDs (15)//AC system delivers a high energy density of 43.9 Wh Kg−1 at a power density of 684 W Kg−1. Overall, a single CDs serve multiple roles in the environment and energy applications with a greener structure tailoring agent and a better booster for re energy storage properties.
“Like Compatible Like” Strategy Designing Strong Cathode‐Electrolyte Interface Quasi‐Solid‐State Lithium–Sulfur Batteries
Authors: Song Zihui , Wang Lin , Jiang Wanyuan , Pei Mengfan , Li Borui , Mao Runyue , Liu Siyang , Zhang Tianpeng , Jian Xigao , Hu Fangyuan 
Published: December 2023

AbstractGel polymer electrolytes (GPE) have stimulated the enthusiasm to develop high‐performance quasi‐solid‐state lithium–sulfur (Li–S) batteries, but the incompatibility between non‐polar sulfur cathode and polar GPE has limited its further development. Changing polarity by replacing the non‐polar sulfur cathode to polar organosulfur cathode is expected to improve the cathode‐electrolyte interface compatibility. Inspired by “like compatible like” strategy, a vinyl‐capped hyperbranched polymer network (PEI‐GMA) is developed that serves as a backbone structure for both organosulfur polymer cathode (G/PEI‐GMA@S) and GPE to construct a strong cathode‐electrolyte interface. High interfacial compatibility contributes to accelerating electron/ion conduction for superior transfer kinetics and construction of stable quasi‐solid‐state Li–S batteries. As a result, the internal resistance of the battery is significantly reduced by 60%, and after 400 cycles, the battery capacity retention rate is 91%, with an average decay rate per cycle as low as 0.022%. Meanwhile, the strategy of optimizing both cathodes and electrolytes without design multiple materials makes Li–S batteries more competitive in practical applications. This study emphasizes the importance of moderating relevant polarity for constructing a strong cathode‐electrolyte interface, which provides guiding principles for the electrode and electrolyte design of advanced Li–S batteries.
Early‐life stress and amyloidosis in mice share pathogenic pathways involving synaptic mitochondria and lipid metabolism
Authors: Kotah Janssen M. , Kater Mandy S. J. , Brosens Niek , Lesuis Sylvie L. , Tandari Roberta , Blok Thomas M. , Marchetto Luca , Yusaf Ella , Koopmans Frank T. W. , Smit August B. , Lucassen Paul J. , Krugers Harm J. , Verheijen Mark H. G. , Korosi Aniko 
Published: December 2023

AbstractINTRODUCTIONEarly‐life stress (ES) increases the risk for Alzheimer's disease (AD). We and others have shown that ES aggravates amyloid‐beta (Aβ) pathology and promotes cognitive dysfunction in APP/PS1 mice, but underlying mechanisms remain unclear.METHODSWe studied how ES affects the hippocampal synaptic proteome in wild‐type (WT) and APP/PS1 mice at early and late pathological stages, and validated hits using electron microscopy and immunofluorescence.RESULTSThe hippocampal synaptosomes of both ES‐exposed WT and early‐stage APP/PS1 mice showed a relative decrease in actin dynamics‐related proteins and a relative increase in mitochondrial proteins. ES had minimal effects on older WT mice, while strongly affecting the synaptic proteome of advanced stage APP/PS1 mice, particularly the expression of astrocytic and mitochondrial proteins.DISCUSSIONOur data show that ES and amyloidosis share pathogenic pathways involving synaptic mitochondrial dysfunction and lipid metabolism, which may underlie the observed impact of ES on the trajectory of AD.
Clinical variables associated with major adverse cardiac events following radical cystectomy
Authors: Gurayah Aaron A. , Blachman‐Braun Ruben , Machado Christopher J. , Mason Matthew M. , Hougen Helen Y. , Mouzannar Ali , Gonzalgo Mark L. , Nahar Bruno , Punnen Sanoj , Parekh Dipen J. , Ritch Chad R. 
Published: December 2023

AbstractObjectivesThe objective of this study is to investigate the association between major adverse cardiac events (MACE) and clinical factors of patients undergoing radical cystectomy (RC) for bladder cancer.Materials and MethodsA retrospective analysis using the 2015–2020 National Surgical Quality Improvement Program database was performed on patients who underwent RC for bladder cancer. MACE was defined as any report of cerebrovascular accident, myocardial infarction, or thromboembolic events (pulmonary embolism or deep vein thrombosis). A multivariable‐adjusted logistic regression was conducted to identify clinical predictors of postoperative MACE.ResultsA total of 10 308 (84.2%) patients underwent RC with incontinent urinary diversion (iUD), and 1938 (15.8%) underwent RC with continent urinary diversion (cUD). A total of 629 (5.1%) patients recorded a MACE, and on the multivariable‐adjusted logistic regression, it was shown that MACE was significantly associated with increased age (OR = 1.035, 95% CI: 1.024–1.046, p < 0.001), obesity (OR = 1.583, 95% CI: 1.266–1.978, p < 0.001), current smokers (OR = 1.386, 95% CI: 1.130–1.700, p = 0.002), congestive heart failure before surgery (OR = 1.991, 95% CI: 1.016–3.900; p = 0.045), hypertension (OR = 1.209, 95% CI: 1.016–1.453, p = 0.043), and increase the surgical time (per 10 min increase, OR = 1.010, 95% CI: 1.003–1.017, p = 0.009). We also report that increased age, obesity, and patients undergoing cUD (OR = 1.368, 95% CI: 1.040–1.798; p = 0.025) are associated with thromboembolic events.ConclusionBy considering the preoperative characteristics of patients, including age, obesity, smoking, congestive heart failure, and hypertension status, urologists may be able to decrease the incidence of MACE in patients undergoing RC. Urologists should aim for lower operative times as this was associated with a decreased risk of thromboembolic events.
Evaluation of cardiotoxicity of anthracycline‐containing chemotherapy regimens in patients with bone and soft tissue sarcomas: A study of the FDA adverse event reporting system joint single‐center real‐world experience
Authors: Mo Zeming , Deng Yaotiao , Bao Yiwen , Liu Jie , Jiang Yu 
Published: December 2023

AbstractObjectivesTo assess the occurrence of cardiotoxicity in patients with tumors receiving anthracycline‐based chemotherapy, especially for sarcomas.MethodsThis study summarized the types and frequency of adverse events (AEs) for three anthracyclines from the FDA adverse event reporting system (FAERS) database. FAERS data from January 2004 to June 2022 were collected and analyzed. Disproportionality analyses, logistic regression, and descriptive analysis were used to compare the differences in cardiac disorders. A retrospective cohort study was conducted in a single center between December 2008 and May 2022. Our hospital‐treated patients with bone and soft tissue sarcomas (BSTSs) with anthracycline‐containing chemotherapy were analyzed. Serum markers, echocardiography, and electrocardiography have been used to evaluate cardiotoxic events.ResultsOne hundred thousand and seventy‐five AE reports were obtained for doxorubicin (ADM), epirubicin (EPI), and liposome doxorubicin (L‐ADM) from the FAERS database. ADM (OR = 3.1, p < 0.001), EPI (OR = 1.5, p < 0.001), and sarcomas (OR = 1.8, p < 0.001) may increase the probability of cardiac disorders. Cardiac failure, cardiotoxicity, and cardiomyopathy were anthracyclines' top 3 frequent AEs. Among patients receiving ADM‐containing therapy, those with ADM applied at doses ≥75 mg/m2/cycle were more likely to develop cardiac disorders than the other subgroups (OR = 3.5, p < 0.001). Patients younger than 18 are more likely to benefit from dexrazoxane prevention of cardiac failure. Six hundred and eighty‐three patients with BSTSs receiving anthracycline‐based chemotherapy were analyzed in our center. Patients receiving ADM‐containing chemotherapy were likelier to experience abnormalities in serum troponin‐T and left ventricular ejection fraction (p < 0.05). 2.0% (6/300) of patients receiving ADM‐containing chemotherapy required adjustment of the chemotherapy regimen because of cardiotoxicity, whereas none were in the EPI or L‐ADM groups.Conclusions and RelevanceAmong patients receiving anthracycline‐containing therapy, patients with BSTSs were more likely to develop cardiac disorders than other tumors. In addition, patients with BSTSs receiving ADM chemotherapy had a higher likelihood of cardiotoxic events than those receiving EPI or L‐ADM.
Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling
Authors: Mishra Puneet , Liland Kristian Hovde 
Published: December 2023

AbstractHigher order data are commonly encountered in the domain of chemometrics, often generated by advanced analytical instruments. Due to the multilinear nature of the data, higher order data require different regression approaches compared with traditional two‐way data for predictive modelling. The main aim is usually to extract the rich multilinear information, which is often lost if the data are simply analysed in unfolded form. A common algorithm for multilinear predictive modelling is N‐way partial least squares (NPLS). However, a limitation of NPLS is that it inherently does not handle outlying observations, which can be detrimental to the model. This work presents a new robust multilinear predictive modelling approach based on iterative down‐weighting of the outlier observations in both predictor and response space. A key benefit of the method is that it only requires a single extra parameter to tune. In this work, the algorithm is described, and the method is demonstrated on three real multilinear data sets. In all cases, the presented method outperformed the traditional NPLS modelling regarding the root mean squared error of prediction.
Open circuit fault diagnosis of wind power converter based on VMD energy entropy and time domain feature analysis
Authors: Bai Xiaoze , Li Mingduo , Di Zhigang , Dong Weichao , Liang Jing , Zhang Jingxuan , Sun Hexu 
Published: December 2023

AbstractAiming at the shortcomings of feature extraction and fault identification in fault diagnosis of wind power converters, a novel method for open circuit fault diagnosis of wind power converters based on variational mode decomposition (VMD) energy entropy (EE) and time domain feature analysis (TDFA) is proposed. Primarily, the three‐phase output current at the grid side of the wind power converter is collected as the original signal, and the VMD is used to decompose the original signal into a series of intrinsic mode functions (IMF). To reduce noise interference as much as possible, the Pearson correlation coefficient between each mode component and the original signal under different fault states is analyzed, and the IMF component containing the major failure features is selected to calculate the energy entropy of each component; afterward, according to the Pearson correlation coefficient results, the modal components of the first layer are selected for time domain feature analysis; finally, the feature matrix that combines energy entropy and time domain feature analysis is inputted into the long short‐term memory neural network for training and fault identification. The simulation and experimental results show that the open circuit fault diagnosis method proposed in this paper has high accuracy and robustness.
Resting state functional connectivity associated with impaired proprioception post‐stroke
Authors: Kenzie Jeffrey M. , Rajashekar Deepthi , Goodyear Bradley G. , Dukelow Sean P. 
Published: December 2023

AbstractDeficits in proprioception, the knowledge of limb position and movement in the absence of vision, occur in ~50% of all strokes; however, our lack of knowledge of the neurological mechanisms of these deficits diminishes the effectiveness of rehabilitation and prolongs recovery. We performed resting‐state functional magnetic resonance imaging (fMRI) on stroke patients to determine functional brain networks that exhibited changes in connectivity in association with proprioception deficits determined by a Kinarm robotic exoskeleton assessment. Thirty stroke participants were assessed for proprioceptive impairments using a Kinarm robot and underwent resting‐state fMRI at 1 month post‐stroke. Age‐matched healthy control (n = 30) fMRI data were also examined and compared to stroke data in terms of the functional connectivity of brain regions associated with proprioception. Stroke patients exhibited reduced connectivity of the supplementary motor area and the supramarginal gyrus, relative to controls. Functional connectivity of these regions plus primary somatosensory cortex and parietal opercular area was significantly associated with proprioceptive function. The parietal lobe of the lesioned hemisphere is a significant node for proprioception after stroke. Assessment of functional connectivity of this region after stroke may assist with prognostication of recovery. This study also provides potential targets for therapeutic neurostimulation to aid in stroke recovery.