bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of frequency of 1-year readmission in adult patients with diabetes
Authors: Soh Jade Gek Sang , Mukhopadhyay Amartya , Mohankumar Bhuvaneshwari , Quek Swee Chye , Tai Bee Choo 
Published: December 2023

AbstractDiabetes mellitus (DM) is the third most common chronic condition associated with frequent hospital readmissions. Predictors of the number of readmissions within 1 year among patients with DM are less often studied compared with those of 30-day readmission. This study aims to identify predictors of number of readmissions within 1 year amongst adult patients with DM and compare different count regression models with respect to model fit. Data from 2008 to 2015 were extracted from the electronic medical records of the National University Hospital, Singapore. Inpatients aged ≥ 18 years at the time of index admission with a hospital stay > 24 h and survived until discharge were included. The zero-inflated negative binomial (ZINB) model was fitted and compared with three other count models (Poisson, zero-inflated Poisson and negative binomial) in terms of predicted probabilities, misclassification proportions and model fit. Adjusted for other variables in the model, the expected number of readmissions was 1.42 (95% confidence interval [CI] 1.07 to 1.90) for peripheral vascular disease, 1.60 (95% CI 1.34 to 1.92) for renal disease and 2.37 (95% CI 1.67 to 3.35) for Singapore residency. Number of emergency visits, number of drugs and age were other significant predictors, with length of stay fitted as a zero-inflated component. Model comparisons suggested that ZINB provides better prediction than the other three count models. The ZINB model identified five patient characteristics and two comorbidities associated with number of readmissions. It outperformed other count regression models but should be validated before clinical adoption.
Defensive medicine practices as a result of malpractice claims and workplace physical violence: a cross-sectional study from Egypt
Authors: Arafa Ahmed , Negida Ahmed , Elsheikh Mohamed , Emadeldin Mohamed , Hegazi Hesham , Senosy Shaimaa 
Published: December 2023

AbstractDefensive medicine refers to practices motivated mainly by legal rather than medical purposes. Increased healthcare costs, overutilization of medical services, and potential harm to patients from unnecessary procedures are among its drawbacks. We performed this study to assess the prevalence of defensive medicine practices in Egypt and their associations with experiencing malpractice claims and workplace physical violence. We investigated 1797 physicians (68.1% male), with an average age of 36.8 ± 9.1 years, practicing in Egypt between January 14th and February 23rd, 2023. SPSS was used for statistical analysis. The majority reported engaging in defensive medicine practices. Specifically, 89.6% acknowledged avoiding high-risk procedures, 87.8% refrained from treating high-risk patients, 86.8% admitted to making unnecessary referrals, 84.9% acknowledged ordering unnecessary tests, 61.4% reported performing unnecessary procedures, and 56.4% disclosed prescribing unnecessary medications. Obstetricians and surgeons exhibited the highest rates of defensive medicine. Using linear regression analysis adjusted for age and sex, malpractice claims and workplace physical violence were associated with defensive medicine score (zero-100): βs (95% CIs) = 5.05 (3.10, 6.99) and 5.60 (3.50, 7.71), respectively, (p values < 0.001). In conclusion, defensive medicine is deeply ingrained in the clinical routines of Egyptian physicians. Establishing a comprehensive national medical liability framework is required.
Relationship between intrathrombotic appearance of HSP27 and HSP70 and thrombus ages in a murine model of deep vein thrombosis
Authors: Nosaka Mizuho , Ishida Yuko , Kuninaka Yumi , Ishigami Akiko , Taruya Akira , Shimada Emi , Hashizume Yumiko , Yamamoto Hiroki , Kimura Akihiko , Furukawa Fukumi , Kondo Toshikazu 
Published: December 2023

AbstractHeat shock proteins (HSPs) are molecular chaperones whose primary function is cytoprotection, supporting cell survival under (sub) lethal conditions. They have been implicated in various diseases such as inflammatory diseases and cancer due to their cytoprotective and immunomodulatory effects, and their biological mechanisms have been studied. Central family members include, HSP27, which is induced by various stimuli such as heat shock, hypoxia, hyperoxia, ultraviolet exposure, and nutritional deficiency, and HSP70, which is homeostatically expressed in many organs such as the gastrointestinal tract and has anti-cell death and anti-inflammatory effects. In this study, HSP27 and HSP70 were investigated during thrombus formation and dissolution in a deep vein thrombosis model by immunohistochemistry to determine their involvement in this process and whether their expression could be used as a forensic marker. In the process of thrombus formation and lysis, HSP27 and HSP70 were found to be expressed by immunohistochemical analysis. The role of inhibitors of HSP27 and HSP70 in the pathogenesis of thrombosis in mice was also investigated. When HSP27 or HSP70 inhibitors were administered, thrombi were significantly smaller than in the control group on day 5 after inferior vena cava ligation, indicating pro-thrombotic effects HSP27 and HSP70. If HSP27- or HSP70-positive cells were clearly visible and easily identifiable in the thrombus sections, the thrombus was presumed to be more than 10 days old. Thus, the detection of intrathrombotic HSP27 and HSP70 could forensically provide useful information for the estimation of thrombus ages. Collectively, our study implied that both HSP27 and HSP70 might be molecular targets for thrombus therapy and that the detection of HSP-related molecules such as HSP27 and HSP70 could be useful for the determination of thrombus ages.
Experimental insights into electrocatalytic [Cp*Rh(bpy)Cl]+ mediated NADH regeneration
Authors: Meyer Jonas , Romero Manuela , Thöming Jorg , Baune Michael , Reimer Nicholas , Dringen Ralf , Bösing Ingmar 
Published: December 2023

AbstractNADH plays a crucial role in many enzymatically catalysed reactions. Due to the high costs of NADH a regeneration mechanism of this cofactor can enlarge the applications of enzymatic reactions dramatically. This paper gives a thorough system analysis of the mediated electrochemical regeneration of active NADH using cyclic voltammograms and potentiostatic measurements with varying pH, electrode potential, and electrolyte solution, highlighting the system’s limiting conditions, elucidating optimal working parameters for the electrochemical reduction of NAD+, and bringing new insight on the oxidation of inactive reduction products. Using [Cp*Rh(bpy)Cl]+ as an electron mediator dramatically increases the percentage of enzymatically active electrochemically reduced NADH from 15% (direct) to 99% (mediated) with a faradaic efficiency of up to 86%. Furthermore, investigations of the catalytic mechanisms of [Cp*Rh(bpy)Cl]+ clarifies the necessary conditions for its functioning and questions the proposed reaction mechanism by two-step reduction where first the mediator is reduced and then brought in contact with NAD+.
Bayesian posterior density estimation reveals degeneracy in three-dimensional multiple emitter localization
Authors: van Dijk Raymond , Kalisvaart Dylan , Cnossen Jelmer , Smith Carlas S. 
Published: December 2023

AbstractSingle-molecule localization microscopy requires sparse activation of emitters to circumvent the diffraction limit. In densely labeled or thick samples, overlap of emitter images is inevitable. Single-molecule localization of these samples results in a biased parameter estimate with a wrong model of the number of emitters. On the other hand, multiple emitter fitting suffers from point spread function degeneracy, which increases model and parameter uncertainty. To better estimate the model, parameters and uncertainties, a three-dimensional Bayesian multiple emitter fitting algorithm was constructed using Reversible Jump Markov Chain Monte Carlo. It reconstructs the posterior density of both the model and the parameters, namely the three-dimensional position and photon intensity, of overlapping emitters. The ability of the algorithm to separate two emitters at varying distance was evaluated using an astigmatic point spread function. We found that for astigmatic imaging, the posterior distribution of the emitter positions is multimodal when emitters are within two times the in-focus standard deviation of the point spread function. This multimodality describes the ambiguity in position that astigmatism introduces in localization microscopy. Biplane imaging was also tested, proving capable of separating emitters up to 0.75 times the in-focus standard deviation of the point spread function while staying free of multimodality. The posteriors seen in astigmatic and biplane imaging demonstrate how the algorithm can identify point spread function degeneracy and evaluate imaging techniques for three-dimensional multiple-emitter fitting performance.
Gα12 signaling regulates transcriptional and phenotypic responses that promote glioblastoma tumor invasion
Authors: Chaim Olga Meiri , Miki Shunichiro , Prager Briana C. , Ma Jianhui , Jeong Anthony Y. , Lara Jacqueline , Tran Nancy K. , Smith Jeffrey M. , Rich Jeremy N. , Gutkind J. Silvio , Miyamoto Shigeki , Furnari Frank B. , Brown Joan Heller 
Published: December 2023

AbstractIn silico interrogation of glioblastoma (GBM) in The Cancer Genome Atlas (TCGA) revealed upregulation of GNA12 (Gα12), encoding the alpha subunit of the heterotrimeric G-protein G12, concomitant with overexpression of multiple G-protein coupled receptors (GPCRs) that signal through Gα12. Glioma stem cell lines from patient-derived xenografts also showed elevated levels of Gα12. Knockdown (KD) of Gα12 was carried out in two different human GBM stem cell (GSC) lines. Tumors generated in vivo by orthotopic injection of Gα12KD GSC cells showed reduced invasiveness, without apparent changes in tumor size or survival relative to control GSC tumor-bearing mice. Transcriptional profiling of GSC-23 cell tumors revealed significant differences between WT and Gα12KD tumors including reduced expression of genes associated with the extracellular matrix, as well as decreased expression of stem cell genes and increased expression of several proneural genes. Thrombospondin-1 (THBS1), one of the genes most repressed by Gα12 knockdown, was shown to be required for Gα12-mediated cell migration in vitro and for in vivo tumor invasion. Chemogenetic activation of GSC-23 cells harboring a Gα12-coupled DREADD also increased THBS1 expression and in vitro invasion. Collectively, our findings implicate Gα12 signaling in regulation of transcriptional reprogramming that promotes invasiveness, highlighting this as a potential signaling node for therapeutic intervention.
The timing of the initial collision between the South and North China blocks constraining from the sediments in the eastern Sichuan Basin
Authors: Liu Tianjia , Hu Zongquan , Zhang Dianwei , Li Shuangjian , Cheng Chuanjie , Zhou Lingfang , Wang Guanping , Wang Xunlian , Wang Zhentao 
Published: December 2023

AbstractIn this study, detrital zircon U–Pb geochronology, trace element and Hf isotopic compositional data from the Early-Middle Triassic clastic rocks in the eastern Sichuan Basin were obtained to distinguish the sediment provenance and constrain the timing of the initial collision between the South China and North China blocks. Detrital zircons from the Early Triassic Feixianguan Formation clastic rocks yield one major age peak at 2476 Ma and three minor age peaks at 1886, 802 and 304 Ma. These detrital zircons may be derived from the South China Block. Detrital zircons from the Early Triassic Jialingjiang Formation clastic rocks yield multiple age peaks at 979, 856, 392 and 269 Ma, indicating a mixed sediment provenance from the South China Block and Qinling Orogenic Belt. This is the first appearance of the detritus with the Qinling Orogenic Belt affinity in the eastern Sichuan Basin. Detrital zircons from the Middle Triassic Leikoupo Formation clastic rocks yield two centralized age peaks at 447 and ca. 245 Ma. These zircons may mainly be derived from the Qinling Orogenic Belt. The results indicate an abrupt change in the detrital zircon U–Pb provenance from the South China Block to the Qinling Orogenic Belt during the Early-Middle Triassic. Integrating the provenance change and other geological characteristics, we suggest that the initial collision in the eastern Qinling Orogenic Belt occurred in the Early Triassic.
Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms
Authors: Joo Yoonji , Namgung Eun , Jeong Hyeonseok , Kang Ilhyang , Kim Jinsol , Oh Sohyun , Lyoo In Kyoon , Yoon Sujung , Hwang Jaeuk 
Published: December 2023

AbstractThe clinical applications of brain age prediction have expanded, particularly in anticipating the onset and prognosis of various neurodegenerative diseases. In the current study, we proposed a deep learning algorithm that leverages brain structural imaging data and enhances prediction accuracy by integrating biological sex information. Our model for brain age prediction, built on deep neural networks, employed a dataset of 3004 healthy subjects aged 18 and above. The T1-weighted images were minimally preprocessed and analyzed using the convolutional neural network (CNN) algorithm. The categorical sex information was then incorporated using the multi-layer perceptron (MLP) algorithm. We trained and validated both a CNN-only algorithm (utilizing only brain structural imaging data), and a combined CNN-MLP algorithm (using both structural brain imaging data and sex information) for age prediction. By integrating sex information with T1-weighted imaging data, our proposed CNN-MLP algorithm outperformed not only the CNN-only algorithm but also established algorithms, such as brainageR, in prediction accuracy. Notably, this hybrid CNN-MLP algorithm effectively distinguished between mild cognitive impairment and Alzheimer’s disease groups by identifying variances in brain age gaps between them, highlighting the algorithm’s potential for clinical application. Overall, these results underscore the enhanced precision of the CNN-MLP algorithm in brain age prediction, achieved through the integration of sex information.
Surface plasmon coupling between wide-field SPR microscopy and gold nanoparticles
Authors: Al-Bataineh Qais M. , Telfah Ahmad D. , Tavares Carlos J. , Hergenröder Roland 
Published: December 2023

AbstractThe coupling behavior of the wide field surface plasmon microscopy (WF-SPRM) with single-, two-, and multiple-gold nanoparticles (AuNPs) with different AuNPs sizes is investigated using theoretical, simulation, and experimental approaches. The signal intensity of a single AuNP increases from 208 a.u. to 583 a.u. as particle size increases from 40 to 80 nm, which evidences the signal-building mechanism of Rayleigh scattering theory. A discrete particle model of SPR is used to understand the interaction between an Au-layer and a single AuNP. The calculated intensity profile of the single AuNP from the discrete particle model is accepted with the experimental data. In addition, the superposition between 2-AuNPs surface plasmon waves is studied using the finite element method as well as experimental data from WF-SPRM. The surface plasmon waves around the two particles generate an interference pattern. Finally, it is demonstrated that plasmonic multiple particles scattering can be represented by an effective media, which is described by Maxwell-Garnet equations.
Experimental study on the gas desorption law in coal affected by dynamic water injection
Authors: Shi Tianwei , Wang Aiwen , Dai Lianpeng , Wang Gang 
Published: December 2023

AbstractWater from hydraulic technology affects the desorption of gas from coal seams. Gas desorption behavior is critical information for gas control in coal mines. In this study, a designed coal seam water injection simulation experimental device was utilized to conduct dynamic water injection experiments on coal samples at different adsorption equilibrium pressures, analyzing the gas desorption law under dynamic water injection, as well as the role of water replacement, water imbibition and water blockage in gas desorption. The results showed that water altered the gas desorption rate in coal, causing fluctuating attenuation of the desorption rate of a water-injected coal sample (WCS). Under the same adsorption equilibrium pressure, the relationship between the desorption rate of the WCS and the non-water-injected coal samples (NCS) underwent a transition in desorption time. In contrast to the NCS desorption curves, the WCS desorption curves lacked a rapid growth phase and exhibited only a slow growth phase and a stopping phase. Water imbibition and water replacement promoted the desorption of gas in the non-wet area during the water injection process, while it inhibited the desorption of gas in the wet area. Under the effects of water imbibition, water blockage, and water replacement, the discharge rate of WCS is greater than the desorption rate of NCS, indicating that water injection increases the total amount of gas desorption. The study results have significant implications for gas extraction and the prevention and control of coal and gas outbursts.
Decomposing the rural–urban gap in hygienic material use during menstruation among adolescent women in India
Authors: Chakrabarty Mahashweta , Singh Aditya , Let Subhojit , Singh Shivani 
Published: December 2023

AbstractThe use of hygienic materials (sanitary napkins, locally prepared napkins, tampons, and menstrual cups) during menstruation among adolescent women in India has improved over the years, yet a significant rural–urban gap in the usage persists at the national level. This study investigates how this rural-urabn gap varies across different states and union territories (UTs) of India and uses Fairlie decomposition to quantify the contribution of various factors to this gap. The study uses data on 114,805 adolescent women (aged 15–19 years) from the fifith round of National Family Health Survey (2019–21). The utilization of hygienic materials during menstruation among adolescent women in rural India stood at 43%, whereas in urban areas, it was 68%, indicating a significant 25 percentage point (pp) difference between the two. The rural–urban gap in the hygienic material use varied significantly across Indian states and UTs. The gap exceeded 20 pp in Madhya Pradesh (36 pp), Odisha (26 pp), Jammu and Kashmir (25 pp), Assam (25 pp), Uttar Pradesh (23 pp), Jharkhand (22 pp), Chhattisgarh (21 pp), and Rajasthan (21 pp). In contrast, the gap in Tamil Nadu, Himachal Pradesh, and Telangana was less than 10 pp. The decomposition analysis of the rural–urban gap (25 pp) revealed that the variables included in the anlaysis explained about 70% of the gap. The difference in the household wealth between rural and urban areas contributed about 69% of the explained gap. Other significant contributors to the explained gap were ‘transportation to health facility’ (5.6%), ‘mass-media exposure’ (4.9%), and ‘level of education (4.4%). The findings underscore the necessity for state-specific interventions aimed at vulnerable groups, particularly individuals from economically disadvantaged backgrounds, those with lower levels of education, and limited exposure to mass media, in order to reduce the existing rural–urban disparity in hygienic material use among adolescent women.
Hematopoietic and stromal DMP1-Cre labeled cells form a unique niche in the bone marrow
Authors: Root Sierra H. , Matthews Brya G. , Torreggiani Elena , Aguila Hector Leonardo , Kalajzic Ivo 
Published: December 2023

AbstractSkeletogenesis and hematopoiesis are interdependent. Niches form between cells of both lineages where microenvironmental cues support specific lineage commitment. Because of the complex topography of bone marrow (BM), the identity and function of cells within specialized niches has not been fully elucidated. Dentin Matrix Protein 1 (DMP1)-Cre mice have been utilized in bone studies as mature osteoblasts and osteocytes express DMP1. DMP1 has been identified in CXCL12+ cells and an undefined CD45+ population. We crossed DMP1-Cre with Ai9 reporter mice and analyzed the tdTomato+ (tdT+) population in BM and secondary hematopoietic organs. CD45+tdT+ express myeloid markers including CD11b and are established early in ontogeny. CD45+tdT+ cells phagocytose, respond to LPS and are radioresistant. Depletion of macrophages caused a significant decrease in tdT+CD11b+ myeloid populations. A subset of CD45+tdT+ cells may be erythroid island macrophages (EIM) which are depleted after G-CSF treatment. tdT+CXCL12+ cells are in direct contact with F4/80 macrophages, express RANKL and form a niche with B220+ B cells. A population of resident cells within the thymus are tdT+ and express myeloid markers and RANKL. In conclusion, in addition to targeting osteoblast/osteocytes, DMP1-Cre labels unique cell populations of macrophage and stromal cells within BM and thymus niches and expresses key microenvironmental factors.
Sustainable manufacturing through application of reconfigurable and intelligent systems in production processes: a system perspective
Authors: Todescato Marco , Braholli Orjola , Chaltsev Dmitry , Di Blasio Ilaria , Don Davide , Egger Georg , Emig Julius , Pasetti Monizza Gabriele , Sacco Pasqualina , Siegele Dietmar , Steiner Dieter , Terzer Michael , Riedl Michael , Giusti Andrea , Matt Dominik 
Published: December 2023

AbstractSustainable production aims at creating products from processes that minimize environmental impact, energy consumption and natural resources. Customers and markets are ever more leaning towards digital, custom, and flexible solutions with lower environmental impact. Hence, Industry 4.0 (I4.0) solutions are increasingly including social and environmental sustainability aspects. We focus on the realization of an infrastructure integrating industrially relevant application modules by combining system reconfigurability and artificial intelligence, towards sustainable production. To meet the final goal of sustainable production, we address four challenges considering flexibility and sustainability in production in a holistic way: (1) developing infrastructural and methodological tools to support companies to explore the potential of I4.0 towards sustainable production; (2) managing the configurability and customization possibilities of products; (3) effectively handling the flexibility provided by a production system with rapid reconfiguration capabilities; (4) integrating hardware and software flexibility by using reconfigurable robotics and machine learning methods. By developing and connecting different application modules, we obtain a physical demonstrator which represents on the one hand an exemplary scenario of reconfigurable and flexible production system; on the other, it enables new research activities and insights with a see, touch & feel approach for industrial and research realities.