bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel extended Kumaraswamy distribution and its application to COVID‐19 data
Authors: Suleiman Ahmad Abubakar , Daud Hanita , Ishaq Aliyu Ismail , Othman Mahmod , Alshanbari Huda M. , Alaziz Sundus Naji 
Published: August 2024

AbstractIn the field of biomedical research, data characteristics often exhibit significant variability, challenging the applicability of classical probability distributions for biomedical data modeling. In this research, we introduce a novel four‐parameter distribution called the odd beta prime Kumaraswamy (OBPK) distribution, derived from the odd beta prime generalized family of distributions and the Kumaraswamy distribution. This distribution exhibits greater flexibility compared with the traditional Kumaraswamy distribution. Importantly, the OBPK distribution offers symmetrical, right‐skewed, left‐skewed, bathtub, N‐shaped, J‐shaped, and reversed J‐shaped densities, as well as varied hazard functions, including increasing, decreasing, bathtub, increasing‐decreasing, upside‐down bathtub, and N‐shaped forms. These curvature patterns make it particularly useful for modeling biomedical data. We derive some basic properties of the OBPK distribution. Parameters are estimated using the maximum likelihood approach, and the performance of various estimators is assessed via Monte Carlo simulations. Finally, four applications to real data on COVID‐19 mortality rates from different countries are evaluated to demonstrate the importance of the OBPK model over other extended versions of the Kumaraswamy models. The empirical findings suggest that the OBPK model outperforms other extended versions of the Kumaraswamy models in these applications.
Uniaxial material model with softening for simulating the cyclic behavior of steel tubes in concrete‐filled steel tube beam‐columns
Authors: Wang Shiye , Wang Wei , Lignos Dimitrios G. 
Published: August 2024

AbstractThis paper presents a new uniaxial constitutive material formulation with softening for simulating the inelastic behavior of steel rectangular tubes in concrete‐filled steel tube (CFST) members. The primary behavioral characteristics of the steel tube in CFST members are isolated and pronounced through a carefully designed experimental campaign with CFST specimens subjected to uniaxial strain‐based loading protocols. The model is expressed in an effective stress–strain domain, where the effective uniaxial strain is defined as the uniaxial displacement within a dissipative zone over a predefined length. In the pre‐peak state, the proposed model can effectively capture the combined kinematic/isotropic hardening and Bauschinger effect—characteristic of mild structural steels—within the framework of rate‐independent plasticity. In the post‐peak state, the proposed model traces strength deterioration due to outward local buckling, which is a characteristic nonlinear geometric instability in CFST members due to the presence of the filled concrete in the steel tube. The proposed constitutive formulation incorporates a softening branch that exponentially decays to trace the stabilization of the outward buckling wave within the buckling region in successive inelastic loading cycles. Cyclic deterioration of the effective stress is explicitly considered via an energy‐based rule. The proposed model is calibrated to a CFST dataset. Regression equations are proposed for predicting the input model parameters. These equations cover a wide range of geometric parameters and structural steel materials in CFST members. Comparisons with prior tests on actual CFST beam‐columns under planar symmetric cyclic loading suggest that conventional 2‐dimensional displacement‐based beam‐column elements can predict the full‐range of the hysteretic behavior of the CFST members with the proposed constitutive formulation including cases where the post‐peak response of CFST members exhibits negative stiffness.
Time history seismic response prediction of multiple homogeneous building structures using only one deep learning‐based Structure Temporal Fusion Network
Authors: Li Zuohua , Yang Qitao , Deng Quanxue , Gong Yunxuan , Tian Deyuan , Su Pengfei , Teng Jun 
Published: August 2024

AbstractStructural response prediction under earthquakes is crucial for evaluating the structural performance and subsequent functional restoration. Deep learning provides the potential to rapidly obtain the responses by skipping the time‐consuming nonlinear finite element analysis. However, a single deep learning network may only predict the time history responses of one specific structure, resulting in redundancy and resource waste when building multiple networks for modeling different structures. Thus, this study proposes a Structure Temporal Fusion Network (STFN) that can predict responses of various homogeneous structures using a single network. The key concept is that the seismic waves and the structural characteristics, such as story numbers, are fused together to predict diverse time history responses. Two numeric experiments are conducted, including predicting responses of ideal single‐degree‐of‐freedom (SDOF) structures and regular multistory reinforced concrete frames. Furthermore, a series of ablation analyses are carried out to validate the network architecture. The results indicate that STFN can predict nonlinear time history responses of different structures with mean square errors in the magnitude of and for two experiments, respectively. The solutions also highlight the importance of fusing static characteristics for the modeling of various structures with only one network. The STFN presents a promising solution for time history response prediction across multiple structures in regions.
Movement characteristics of coal powders at bottom of coalbed methane well under jet flow
Authors: Zhang Fen‐na , Xue Li‐kun , Wang Bin , Jing Chuan‐kai , Li Jia , Hu Hao , Ma Xin‐ning 
Published: August 2024

AbstractThe removal and discharge of coal powders from coalbed methane wellbore is the key to maintaining continuous production. For this reason, based on the submerged jet theory, the force and migration starting conditions of coal powder particles deposited at the bottom of the coalbed methane well are analyzed by analyzing the cohesiveness of coal powders, and a model for the starting and migration of coal powders at the bottom of the well under submerged jet conditions is established; Considering the adhesion between coal dust, the adhesion coefficient is used to characterize the adhesion between particles, a mechanical model of coal dust particles deposited at the bottom of the well is established, and the corresponding calculation formula for the outlet flow rate of the coal dust cleaning nozzle is derived. The fluid mechanics parameters of the bottom of the well coal dust cleaning under different conditions are obtained, and the numerical simulation method is used to simulate the whole process of jet flushing of the bottom of the well coal dust deposited, and the effect of the bottom of the well jet flushing of coal dust deposits is analyzed, providing a theoretical basis for the bottom of the well coal dust flushing process.
Si3N4 as an Alternative of Silicon for the Anode Application in All‐Solid‐State Li‐Ion Batteries
Authors: Sharma Anil Kumar , Sharma Khushbu , Gupta Mukesh Kumar , Guo Fangqin , Ichikawa Takayuki , Jain Ankur , Agarwal Shivani 
Published: August 2024

ABSTRACTThe intermittent nature of renewable energy generation can be tackled by integrating them with electrochemical energy storage, which can also close the gap between supply and demand effectively. It has recently been demonstrated that Si3N4‐based negative electrodes are a promising option for lithium‐ion batteries due to their large theoretical capacity and appropriate working potential with extremely low polarization. In the present work, Si3N4 was utilized as anode material in all‐solid‐state lithium‐ion battery with lithium borohydride as a solid electrolyte and Li foil placed as a counter electrode. The electrochemical properties were investigated using galvanostatic charge/discharge profiling whereas the mechanism of lithiation delithiation was investigated in detail using x‐ray diffraction (XRD). The highest capacity of the composite materials was obtained as 1700 mAhg−1 at 0.05 C current rate in the first cycle, which is reduced to 370 in 5 cycles. However, a stability in the capacity was observed in subsequent cycles and a retention of almost 88% could be achieved in 150 cycles. The interfacial resistance before and after the electrochemical cycling was observed as 326 Ω and 13 kΩ, respectively which is also supported by the microstructural investigations where the cracks are observed because of thermochemical reactions.
Corporate financial distress prediction in a transition economy
Authors: Nguyen Minh , Nguyen Bang , Liêu Minh‐Lý 
Published: August 2024

AbstractForecasting financial distress of corporations is a difficult task in economies undergoing transition, as data are scarce and are highly imbalanced. This research tackles these difficulties by gathering reliable financial distress data in the context of a transition economy and employing the synthetic minority oversampling technique (SMOTE). The study employs seven different models, including linear discriminant analysis (LDA), logistic regression (LR), support vector machines (SVMs), neural networks (NNs), decision trees (DTs), random forests (RFs), and the Merton model, to predict financial distress among publicly traded companies in Vietnam between 2011 and 2021. The first six models use accounting‐based variables, while the Merton model utilizes market‐based variables. The findings indicate that while all models perform fairly well in predicting results for nondelisted firms, they perform somewhat poorly in predicting results for delisted firms in terms of various measures including balanced accuracy, Matthews correlation coefficient (MCC), precision, recall, and
score. The study shows that the models that incorporate both Altman's and Ohlson's variables consistently outperform those that only use Altman's or Ohlson's variables in terms of balanced accuracy. Additionally, the study finds that NNs are generally the most effective models in terms of both balanced accuracy and MCC. The most important variable in Altman's variables as well as the combination of Altman's and Ohlson's variables is “reat” (retained earnings on total assets), whereas “ltat” (total liabilities on total assets) and “wcapat” (working capital on total assets) are the most important variables in Ohlson's variables. The study also reveals that in most cases, the models perform better in predicting results for big firms than for small firms and typically better than in good years than for bad years.
Extreme Risk Spillovers From US Soybean Futures Market to China's Soybean‐Linked Futures Markets
Authors: Qin SiSi , Lau Wee‐Yeap 
Published: August 2024

ABSTRACTThis study investigates the cross‐border risk spillovers between the US soybean futures market and Chinese soybean‐related futures markets. We first confirm the existence of strong tail dependence between US soybean futures and four Chinese soybean‐related futures by conducting a novel quantile‐Granger causality test. Second, tests under MVMQ‐CAViaR further provide evidence of risk spillovers from CBOT soybean futures to the DCE No.1 soybean, No.2 soybean, soybean meal, and soybean oil futures in value‐at‐risk at different quantiles. Lastly, results from the quantile impulse‐response function reveal the time‐varying and asymmetric property of risk spillover effects. In addition, we compare the results from two subsample periods and identify different risk spillover effects across markets at different quantiles that may contribute to the investors' decision‐making under extreme market conditions.
Asymptotic Dependence and Its Impact on Hedging Effectiveness: An Examination of Stock, Currency, and Commodity Futures
Authors: Sharma Udayan , Karmakar Madhusudan 
Published: August 2024

ABSTRACTThis study measures the asymptotic dependence between spot and futures losses and investigates its impact on hedging effectiveness using data from stock, currency, and commodity markets. The findings reveal that stock futures contracts show strong asymptotic dependence, while currency futures have weak asymptotic dependence and most commodity futures lack asymptotic dependence with the underlying spots. Further, stock futures have the highest hedging effectiveness, while commodity and currency futures show low hedging effectiveness for downside risk. Results also suggest that asymptotic dependence is critical for minimum‐variance hedging. Asymptotic dependence increases with the hedging horizon, leading to a better hedging performance of the futures. It also appears that the hedging strategies sensitive to asymptotic dependence perform better than the competing models. The results for the entire period and the subsample periods offer similar conclusions.
A cellular reporter system to evaluate endogenous fetal hemoglobin induction and screen for therapeutic compounds
Authors: Verheul Thijs C. J. , Gillemans Nynke , Putzker Kerstin , Majied Rezin , Li Tingyue , Vasiliou Memnia , Eussen Bert , de Klein Annelies , van IJcken Wilfred F. J. , van den Akker Emile , von Lindern Marieke , Lewis Joe , Uhrig Ulrike , Nakamura Yukio , van Dijk Thamar , Philipsen Sjaak 
Published: August 2024

AbstractReactivation of fetal hemoglobin expression alleviates the symptoms associated with β‐globinopathies, severe hereditary diseases with significant global health implications due to their high morbidity and mortality rates. The symptoms emerge following the postnatal transition from fetal‐to‐adult hemoglobin expression. Extensive research has focused on inducing the expression of the fetal γ‐globin subunit to reverse this switch and ameliorate these symptoms. Despite decades of research, only one compound, hydroxyurea, found its way to the clinic as an inducer of fetal hemoglobin. Unfortunately, its efficacy varies among patients, highlighting the need for more effective treatments. Erythroid cell lines have been instrumental in the pursuit of both pharmacological and genetic ways to reverse the postnatal hemoglobin switch. Here, we describe the first endogenously tagged fetal hemoglobin reporter cell line based on the adult erythroid progenitor cell line HUDEP2. Utilizing CRISPR‐Cas9‐mediated knock‐in, a bioluminescent tag was integrated at the HBG1 gene. Subsequent extensive characterization confirmed that the resulting reporter cell line closely mirrors the HUDEP2 characteristics and that the cells report fetal hemoglobin induction with high sensitivity and specificity. This novel reporter cell line is therefore highly suitable for evaluating genetic and pharmacologic strategies to induce fetal hemoglobin. Furthermore, it provides an assay compatible with high‐throughput drug screening, exemplified by the identification of a cluster of known fetal hemoglobin inducers in a pilot study. This new tool is made available to the research community, with the aspiration that it will accelerate the search for safer and more effective strategies to reverse the hemoglobin switch.
Anatomical and electrophysiological analysis of the fasciola cinerea of the mouse hippocampus
Authors: Zouridis Ioannis S. , Balsamo Giuseppe , Preston‐Ferrer Patricia , Burgalossi Andrea 
Published: August 2024

AbstractThe hippocampus is considered essential for several forms of declarative memory, including spatial and social memory. Despite the extensive research of the classic subfields of the hippocampus, the fasciola cinerea (FC)—a medially located structure within the hippocampal formation—has remained largely unexplored. In the present study, we performed a morpho‐functional characterization of principal neurons in the mouse FC. Using in vivo juxtacellular recording of single neurons, we found that FC neurons are distinct from neighboring CA1 pyramidal cells, both morphologically and electrophysiologically. Specifically, FC neurons displayed non‐pyramidal morphology and granule cell‐like apical dendrites. Compared to neighboring CA1 pyramidal neurons, FC neurons exhibited more regular in vivo firing patterns and a lower tendency to fire spikes at short interspike intervals. Furthermore, tracing experiments revealed that the FC receives inputs from the lateral but not the medial entorhinal cortex and CA3, and it provides a major intra‐hippocampal projection to the septal CA2 and sparser inputs to the distal CA1. Overall, our results indicate that the FC is a morphologically and electrophysiologically distinct subfield of the hippocampal formation; given the established role of CA2 in social memory and seizure initiation, the unique efferent intra‐hippocampal connectivity of the FC points to possible roles in social cognition and temporal lobe epilepsy.
Clinical characteristics and outcome of early‐stage diffuse large B cell lymphoma of female genital track: A retrospective study of the Hellenic cooperative lymphoma group
Authors: Verrou Evgenia , Papageorgiou Sotirios G. , Bouzani Maria , Sevastoudi Aggeliki , Triantafyllou Theodora , Daiou Aikaterini , Dalampira Dimitra , Arapaki Maria , Giatra Chara , Banti Anastasia , Kyriakidis Gerasimos , Stoumpos Dionisios , Karampatzakis Nikolaos , Papadopoulou Theodosia , Kotsopoulou Maria , Pouli Anastasia , Mandala Evdokia , Pappa Vassiliki , Spanoudakis Emmanouil , Katodritou Eirini , Vassilakopoulos Theodoros P. 
Published: August 2024

AbstractInvolvement of female genital track (FGT) by diffuse large B cell lymphoma (DLBCL) represents an extremely rare diagnosis. Especially data regarding early‐stage disease (i.e., IE, IIE) is very limited. Importantly, previous studies showed controversial results about the risk of central nervous system (CNS) relapse in this entity. Herein, we describe one of the largest reported real‐world series of patients with early‐stage FGT DLBCL aiming to investigate the clinicopathological characteristics, response to therapy and survival outcomes in the era of immunochemotherapy. We analyzed 21 consecutive patients with biopsy proven DLBCL from uterus or ovary classified as stage IE or IIE out of 1905 newly diagnosed DLBCL patients (1.1%). Uterine and ovarian localization was observed in 14 and seven patients, respectively. Median age was 66 years (range 33–96); 9/21 (43%) were <55 years. Regarding Cell of Origin DLBCL subtype, Germinal Center B‐cell subtype was found in seven patients, non‐GCB in 10 and non‐classified in 4 patients. Median follow‐up was 57 months and 5‐year overall survival, lymphoma specific survival and Freedom from Progression were 78%, 89% and 90%, respectively. There was no correlation of patients' characteristics with survival parameters. Interestingly, none of the patients experienced CNS relapse. Our results indicate that localized FGT DLBCL exhibits a good prognosis and may not increase the risk for secondary CNS involvement.
Diagnosis and management of a case of gestational trophoblastic neoplasia with lumbosacral metastases
Authors: Dela Cruz Jemuel M. , De La Peña Anathea V. , Maglasang‐Lucas Gellie Anne C. , Vargas Ana Patricia C. , San Juan Filomena S. 
Published: August 2024

AbstractGestational trophoblastic neoplasia (GTN) with spinal metastasis is rare with few documented cases worldwide. Few studies have explored chemotherapy combined with radiotherapy in the treatment of such cases. However, because of its rarity, there is still no standardized treatment regimen. A 34‐year‐old Gravida 1 Para 0 (0010) was diagnosed with GTN with metastasis to the lumbosacral spine, resulting in conus medullaris syndrome with lumbar radiculopathy. She presented with a 14‐month history of amenorrhea, left lower extremity pain, and urinary and bowel retention. On examination, there was a 10.0 × 7.0 cm lumbosacral mass and atrophy of the left lower extremity. Transvaginal ultrasound showed a cul de sac mass, and diluted β‐human chorionic gonadotropin (β‐hCG) titer was markedly elevated at more than 1000 000 mIU/mL. Magnetic resonance imaging (MRI) of the lumbosacral spine showed an ill‐defined sacral mass measuring 13.3 × 11.5 × 6.3 cm with spinal canal, bone, muscle, and nerve root involvement. She was treated with 10 cycles of EMACO and palliative radiotherapy with 10 sessions of 30 Gy of external beam radiation therapy directed toward the lumbosacral mass. Repeat MRI showed a decrease in size of the mass to 6.6 × 8.2 × 4.1 cm with concurrent decrease in β‐hCG to 1.30 mIU/ml, and resolution of leg pain and urinary and bowel symptoms. She was declared to be in remission 3 months after the last cycle of EMACO.
Use of a novel configuration of ports for patients needing intermittent long‐term apheresis
Authors: Howlett Matthew S. , Hicks Kimani , Park Yara , Karafin Matthew S. , Bream Peter R. 
Published: August 2024

AbstractPurposeIn patients with a need for frequent but intermittent apheresis, vascular access can prove challenging. We describe the migration of the use of a Vortex LP dual lumen port (Angiodynamics, Latham, NY) to one Powerflow and one ClearVUE power injectable port (Becton Dickinson, Franklin Lakes, NJ) in a series of patients undergoing intermittent apheresis.Materials and MethodsAll patients had a need for long‐term intermittent apheresis. Eight had double lumen Vortex port (pre) and were exchanged for one Powerflow port and one conventional subcutaneous venous port with 90° needle entry (post) while 12 did not have any port in place and received the same configuration. IRB approval was granted. We recorded the treatment time, flow rate, and tissue plasminogen activator (tPA) use for five treatment sessions after placement. When available, we compared five treatments with the Vortex port and the new configuration.ResultsThe mean treatment time is reduced with the new configuration (P = 0.0033). The predicted mean treatment time, adjusting for gender, race, BMI and age and accounting for correlations within a patient is 91.18 min pre and 77.96 min post. The flow rate is higher with the new configuration (P < 0.0001). The predicted mean flow rate in mL/min is 61.59 for the Vortex port and 71.89 for the new configuration. tPA use was eliminated in the population converted from Vortex ports and had a 48% reduction when compared to all other configurations in the study.ConclusionThe introduction of a novel device configuration of venous access ports for intermittent apheresis resulted in higher flow rates and less total time for treatment. Use of tPA was greatly reduced. These results suggest that the new configuration could result in less expense for the hospital and better throughput in a busy pheresis practice.Clinical trial registration with ClinicalTrials.gov: NCT04846374.
Effect of substituents on mutual induced‐fit process, responsible for effective hydrogen‐bonded capsule formation
Authors: Kaur Sarvjeet , Lee M. M. , Sun Shih‐Sheng , Singh Ashutosh S. 
Published: August 2024

AbstractMolecular cavities formed by π‐conjugated component(s) generally, tend to collapse in the absence of guest molecule(s) especially in the solution‐state, because of strong π•••π interactions between molecular components. Recently, we have explored the importance of mutual induced‐fit effect to sort out this issue. In the present report, we have shown the role of substituents on the effectiveness of mutual induced‐fit process in an artificial system.