bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incorporating media news to predict financial distress: Case study on Chinese listed companies
Authors: Zhang Lifang , Abedin Mohammad Zoynul , Liu Zhenkun 
Published: February 2024

AbstractFinancial distress prediction has been a prominent research field for several decades. Accurate prediction of financial distress not only helps to safeguard the interests of investors but also improves the ability of managers to manage financial risks. Prior studies predominantly rely on accounting metrics derived from financial statements to predict financial distress. Our research takes a step further by incorporating media news to enhance the accuracy of financial distress prediction. Based on the data from Chinese listed companies, seven classifiers are established to verify the additional value of media news in improving the financial distress prediction performance of models. Experimental results demonstrate that the inclusion of media news in predictive models is effective as it contributes to better performance compared with models that solely rely on accounting features. Moreover, random forest model is a reliable tool in financial distress prediction due to its superior ability to capture complex feature relationships. Evaluation indicators, statistical tests, and Bayesian A/B tests further confirm that the inclusion of media news can significantly improve the identification of financially distressed companies.
Risky times: Seasonality and event risk of commodities
Authors: Boos Dominik 
Published: February 2024

AbstractThe seasonal risk of wheat, corn, and soybean is modeled by a novel seasonality filter based on a generalized ridge regression. Then, using a component GARCH model, seasonal risk is combined with event risk and a short‐term risk dynamics. The resulting model is robust, generates seasonal patterns related to the crop cycle, and significantly outperforms the standard GARCH(1,1) in terms of out‐of‐sample risk prediction. Results are relevant for risk management and portfolio construction.
Emergency responses for a health workforce under pressure: Lessons learned from system responses to the first wave of the pandemic in Canada
Authors: Coates Alison , Mihailescu Mara , Bourgeault Ivy Lynn 
Published: February 2024

AbstractThe global health workforce crisis, simmering for decades, was brought to a rolling boil by the COVID‐19 pandemic in 2020. With scarce literature, evidence, or best practices to draw from, countries around the world moved to flex their workforces to meet acute challenges of the pandemic, facing demands related to patient volume, patient acuity, and worker vulnerability and absenteeism. One early hypothesis suggested that the acute, short‐term pandemic phase would be followed by several waves of resource demands extending over the longer term. However, as the acute phase of the pandemic abated, temporary workforce policies expired and others were repealed with a view of returning to ‘normal’. The workforce needs of subsequent phases of pandemic effects were largely ignored despite our new equilibrium resting nowhere near our pre‐COVID baseline. In this paper, we describe Canada's early pandemic workforce response. We report the results of an environmental scan of the early workforce strategies adopted in Canada during the first wave of the COVID‐19 pandemic. Within an expanded three‐part conceptual framework for supporting a sustainable health workforce, we describe 470 strategies and policies that aimed to increase the numbers and flexibility of health workers in Canada, and to maximise their continued availability to work. These strategies targeted all types of health workers and roles, enabling changes to the places health work is done, the way in which care is delivered, and the mechanisms by which it is regulated. Telehealth strategies and virtual care were the most prevalent, followed by role expansion, licensure flexibility, mental health supports for workers, and return to practice of retirees. We explore the degree to which these short‐term, acute response strategies might be adapted or extended to support the evolving workforce's long‐term needs.
Hall current and Dufour effect on the flow of a viscous fluid in the presence of suction, chemical reaction, and heat source: Laplace transform procedure
Authors: Rath Chinmoy , Nayak Anita 
Published: February 2024

AbstractThe present investigation explores the transient magnetohydrodynamics gravity‐driven flow of a viscous, incompressible, electrically conducting fluid past a permeable exponentially accelerated vertical plate in the presence of thermal radiation and suction. Due to several applications in different areas, the influence of Hall current, Dufour number, heat source parameter, and chemically reactive species diffusion are vital and are incorporated in the study, which is the novelty of the present work. The model equations are derived and resolved by utilizing an analytical technique called the Laplace transform procedure. Various properties of the flow due to the influence of different vital parameters have been depicted with the help of graphs. The computed gradients of velocity, temperature and concentration are presented in tabular form. The Hall parameter is observed to strengthen the secondary flow while diminishing the primary flow. Dufour number and heat source parameter enhance the fluid temperature and velocity profiles while the heat sink declines them. Enhancement of the acceleration parameter significantly amplifies the primary skin friction coefficient. Suction boosts the heat transport as well as the mass transport rates at the surface of the plate, whereas injection declines them. Further, the Dufour number causes a significant reduction in the Nusselt number and magnitude of the secondary skin friction coefficient. The practical applications of the current research are the design of aircraft, cooling of microchips, Hall accelerators, separation of isotopes and many more.
Radiant energy exchange through participating media composed of arbitrary concentrations of H2O, CO2, and CO
Authors: Camaraza‐Medina Yanan , Hernandez‐Guerrero Abel , Luviano‐Ortiz José L. 
Published: February 2024

AbstractIn this work, an approximate analytical solution (AS) is presented to evaluate the radiative thermal exchange through a gaseous participating medium composed of H2O, CO2, and CO, which is valid for the product values of pressure path‐length (PL) from 0.06 to 20 atm m and temperatures (T) from 300 K to 2100 K. The Spence root weighting method is used to approximate the exact solutions. For each set of , the value of exact spectral emissivity and absorptivity and for the gas mixture is calculated using the AS, the Hottel graphical method (HGM) and the proposed approximate solution. The weaker adjustment was achieved in the modeling of the HGM, with a mean deviation obtained of ±15% and ±20% for 43.8% and 56.3% of the data evaluated, respectively, while the best indices were obtained in the estimation of the proposed method, with a mean deviation obtained of ±10% and ±15% for 81.3% and 98.1% of the available data, respectively. In all cases, the agreement of the proposed model with the available experimental data is good enough to be considered satisfactory for practical design.
Ion acoustic solitary waves in multicomponent plasmas: Influence of ion drift velocity and nonthermal electrons
Authors: Das Mridusmita , Madhukalya Bhargab , Das Ranjan 
Published: February 2024

AbstractIon acoustic solitary waves with arbitrary amplitude have been investigated using the Sagdeev potential (SP) method in a collisionless plasma consisting of non‐isothermal electrons, positrons, and positive ions. The SP has been obtained and the dependence of large amplitude solitary structures on various plasma parameters such as ion drift velocity , non‐thermal parameter , electron to positron temperature ratio , positron density , and Mach number have been studied. It is shown that, for the same values of plasma parameters, accounting for ion drift velocity greatly corrects the solitary wave profile.
Ecology versus economic development: Effects of China's Yangtze River Economic Belt strategy
Authors: Gong Guan , Zhao Yu 
Published: February 2024

AbstractThis study employs China's Yangtze River Economic Belt strategy as a quasi‐natural experiment to investigate the impact of prioritizing green development on economic growth. Our empirical findings show that the strategy significantly reduces urban industrial wastewater discharge. It helps transition the region's industries towards technology‐driven service sectors while maintaining a steady economic growth rate. On average, cities in the Yangtze River Economic Belt see a 21.9% decrease in annual industrial wastewater discharge, a 1.9% increase in economic growth rate, a 4.9% rise in the proportion of service industries' contribution to GDP, and a 2.4% increase in the number of employees in productive service industries. Moreover, our empirical results highlight the heterogeneity in the effects of the strategy across different regions, which can be attributed to factors such as population density, infrastructure, levels of human capital, and government governance. The implementation of the Yangtze River Economic Belt strategy offers valuable insights for developing countries on how to balance between economic development and environmental protection.
Identification of putative antiviral bioactive compounds derived from family Asteraceae: An in silico approach
Authors: Srivastava Swati , Khan Mohd Shahnawaz , Ahmad Saheem , Dubey Amit , Saxena Vijay Laxmi , Haneef Mohammad 
Published: February 2024

AbstractThis computational study investigates 21 bioactive compounds from the Asteraceae family as potential inhibitors targeting the Spike protein (S protein) of SARS‐CoV‐2. Employing in silico methods and simulations, particularly CDOCKER and MM‐GBSA, the study identifies two standout compounds, pterodontic acid and cichoric acid, demonstrating robust binding affinities (−46.1973 and −39.4265 kcal/mol) against the S protein. Comparative analysis with Favipiravir underscores their potential as promising inhibitors. Remarkably, these bioactives exhibit favorable ADMET properties, suggesting safety and efficacy. Molecular dynamics simulations validate their stability and interactions, signifying their potential as effective SARS‐CoV‐2 inhibitors.
Metabolic adjustments to winter severity in two geographically separated great tit (Parus major) populations
Authors: Pacioni Cesare , Bushuev Andrey , Sentís Marina , Kerimov Anvar , Ivankina Elena , Lens Luc , Strubbe Diederik 
Published: February 2024

AbstractUnderstanding the potential limits placed on organisms by their ecophysiology is crucial for predicting their responses to varying environmental conditions. A main hypothesis for explaining avian thermoregulatory mechanisms is the aerobic capacity model, which posits a positive correlation between basal (basal metabolic rate [BMR]) and summit (Msum) metabolism. Most evidence for this hypothesis, however, comes from interspecific comparisons, and the ecophysiological underpinnings of avian thermoregulatory capacities hence remain controversial. Indeed, studies have traditionally relied on between‐species comparisons, although, recently, there has been a growing recognition of the importance of intraspecific variation in ecophysiological responses. Therefore, here, we focused on great tits (Parus major), measuring BMR and Msum during winter in two populations from two different climates: maritime‐temperate (Gontrode, Belgium) and continental (Zvenigorod, Russia). We tested for the presence of intraspecific geographical variation in metabolic rates and assessed the predictions following the aerobic capacity model. We found that birds from the maritime‐temperate climate (Gontrode) showed higher BMR, whereas conversely, great tits from Zvenigorod showed higher levels of Msum. Within each population, our data did not fully support the aerobic capacity model's predictions. We argued that the decoupling of BMR and Msum observed may be caused by different selective forces acting on these metabolic rates, with birds from the continental‐climate Zvenigorod population facing the need to conserve energy for surviving long winter nights (by keeping their BMR at low levels) while simultaneously being able to generate more heat (i.e., a high Msum) to withstand cold spells.
Simultaneous identification of DNA and RNA pathogens using metagenomic sequencing in cases of severe acute respiratory infection
Authors: Xie Nana , Lin Yanfeng , Li Peihan , Zhao Jiachen , Li Jinhui , Wang Kaiying , Yang Lang , Jia Leili , Wang Quanyi , Li Peng , Song Hongbin 
Published: February 2024

AbstractMetagenomic next‐generation sequencing (mNGS) is a valuable technique for identifying pathogens. However, conventional mNGS requires the separate processing of DNA and RNA genomes, which can be resource‐ and time‐intensive. To mitigate these impediments, we propose a novel method called DNA/RNA cosequencing that aims to enhance the efficiency of pathogen detection. DNA/RNA cosequencing uses reverse transcription of total nucleic acids extracted from samples by using random primers, without removing DNA, and then employs mNGS. We applied this method to 85 cases of severe acute respiratory infections (SARI). Influenza virus was identified in 13 cases (H1N1: seven cases, H3N2: three cases, unclassified influenza type: three cases) and was not detected in the remaining 72 samples. Bacteria were present in all samples. Pseudomonas aeruginosa, Klebsiella pneumoniae, and Acinetobacter baumannii were detected in four influenza‐positive samples, suggesting coinfections. The sensitivity and specificity for detecting influenza A virus were 73.33% and 95.92%, respectively. A κ value of 0.726 indicated a high level of concordance between the results of DNA/RNA cosequencing and SARI influenza virus monitoring. DNA/RNA cosequencing enhanced the efficiency of pathogen detection, providing a novel capability to strengthen surveillance and thereby prevent and control infectious disease outbreaks.
Sex does not influence the long‐term outcome of matrix‐assisted autologous chondrocyte transplantation
Authors: Salerno Manuela , Andriolo Luca , Angelelli Lucia , Buda Roberto , Faldini Cesare , Ferruzzi Alberto , Vannini Francesca , Zaffagnini Stefano , Filardo Giuseppe 
Published: February 2024

AbstractPurposeRegenerative techniques for articular cartilage lesions demonstrated heterogeneous clinical results. Several factors may influence the outcome, with sex being one of the most debated. This study aimed at quantifying the long‐term influence of sex on the clinical outcome obtained with a regenerative procedure for knee chondral lesions.MethodsMatrix‐assisted autologous chondrocyte transplantation (MACT) was used to treat 235 knees which were prospectively evaluated with the International Knee Documentation Committee (IKDC), EuroQol visual analogue scale, and Tegner scores at 14‐year mean follow‐up. A multilevel analysis was performed with the IKDC subjective scores standardised according to the age/sex category of each patient and/or the selection of a match‐paired subgroup to compare homogeneous men and women patients.ResultsAt 14 years, men and women showed a failure rate of 10.7% and 28.8%, respectively (p < 0.0005). An overall improvement was observed in both sexes. Women had more patellar lesions and men more condylar lesions (p = 0.001), and the latter also presented a higher preinjury activity level (p < 0.0005). Men had significantly higher IKDC subjective scores at all follow‐ups (at 14 years: 77.2 ± 18.9 vs. 62.8 ± 23.1; p < 0.0005). However, the analysis of homogeneous match‐paired populations of men and women, with standardised IKDC subjective scores, showed no differences between men and women (at 14 years: −1.6 ± 1.7 vs. −1.9 ± 1.6).ConclusionMen and women treated with MACT for knee chondral lesions presented a significant improvement and stable long‐term results. When both sexes are compared with homogeneous match‐paired groups, they have similar results over time. However, women present more often unfavourable lesion patterns, which proved more challenging in terms of long‐term outcome after MACT.Level of EvidenceLevel II.
Tissue‐of‐origin for cancers determines HIF‐1 activation induced phenotypic heterogeneity
Authors: Liu Shaofei , Liu Yamin , Qiu Xihua , Suhail Yasir , Kshitiz  
Published: February 2024

AbstractHypoxia‐inducible factor‐1 (HIF‐1) is the master regulator of cellular response to hypoxia, and is activated in many cancers contributing to many steps in the metastatic cascade by acting as a key transcription co‐regulator for a large number of downstream genes. Presence of hypoxia within a tumor is spatially nonuniform, and can also by dynamic. Further, although HIF‐1 is primarily stabilized and activated by lack of molecular O2, its stability is also affected by other factors present in the tumor microenvironment. HIF‐1 also crosstalks with other transcription factors in co‐regulating gene expression. Consequently, it is nontrivial to predict the gene expression patterns in cells in response to hypoxia, or HIF‐1 activation. Additionally, cancers originating from tissue origins with different basal level of partial oxygen tension may activate HIF‐1 at different threshold of hypoxia. We analyzed large published single cell RNAseq data for colorectal, lung, and pancreatic cancers to investigate the phenotypic outcome of HIF‐1 activation in cancer cells. We found that cancers from tissues with different partial O2 tension levels exhibit HIF‐1 activation at different stages of metastasis, and phenotypically respond differently to HIF‐1 activation, likely by contextual co‐option of different transcription factors. We experimentally confirmed these predictions by using cell lines representative of colorectal, lung, and pancreatic cancers, finding that while hypoxia enhances growth of colorectal cancer, it induces increased invasion of lung, and pancreatic cancers. Our analysis suggest that HIF‐1 activation may act as a rheostat regulating downstream gene expression towards phenotypic outcomes differently in various cancers.
mRNA PROTACs: engineering PROTACs for high‐efficiency targeted protein degradation
Authors: Xue Xiaoqi , Zhang Chen , Li Xiaolin , Wang Junqiao , Zhang Haowei , Feng Ying , Xu Naihan , Li Hongyan , Tan Chunyan , Jiang Yuyang , Tan Ying 
Published: February 2024

AbstractProteolysis‐targeting chimeras (PROTACs) are essential bifunctional molecules that target proteins of interest (POIs) for degradation by cellular ubiquitination machinery. Despite significant progress made in understanding PROTACs' functions, their therapeutic potential remains largely untapped. As a result of the success of highly flexible, scalable, and low‐cost mRNA therapies, as well as the advantages of the first generation of peptide PROTACs (p‐PROTACs), we present for the first time an engineering mRNA PROTACs (m‐PROTACs) strategy. This design combines von Hippel–Lindau (VHL) recruiting peptide encoding mRNA and POI‐binding peptide encoding mRNA to form m‐PROTAC and promote cellular POI degradation. We then performed proof‐of‐concept experiments using two m‐PROTACs targeting two cancer‐related proteins, estrogen receptor alpha and B‐cell lymphoma‐extra large protein. Our results demonstrated that m‐PROTACs could successfully degrade the POIs in different cell lines and more effectively inhibit cell proliferation than the traditional p‐PROTACs. Moreover, the in vivo experiment demonstrated that m‐PROTAC led to significant tumor regression in the 4T1 mouse xenograft model. This finding highlights the enormous potential of m‐PROTAC as a promising approach for targeted protein degradation therapy.
Mass Transfer in Emulsion Polymerization: High Solids Content Latex and Mixing Effects
Authors: TORRES ALADRO Mariana Guadalupe , Gelinski Estela Kamile , Sheibat‐Othman Nida , McKenna Timothy F. L. 
Published: February 2024

AbstractThe impact of different agitator configurations used during the emulsion polymerization of vinylidene fluoride (VDF) is studied with the goal of achieving a solids content of 55 wt% while minimizing particle coagulation and maintaining low levels of surfactant. The design and number of impellers, their spacing and the agitation speed are shown to have a strong influence on the transfer of gaseous monomer to the aqueous phase, and thus the rate of polymerization. Increasing the number of impellers on the central shaft, and decreasing the spacing of the impellers close to the latex surface has a strong influence on the ability to incorporate gaseous monomer, so the solids content and the latex level in the reactor increased. Furthermore, it is found that changes in the agitation rate during the reaction is necessary at high solids content to avoid destabilizing the particles in view of the low surfactant concentrations used.
Performance of a deep learning system for simultaneously diagnosing radiolucent and radiopaque lesions in the anterior maxilla on panoramic radiographs
Authors: Ebata Kaori , Kise Yoshitaka , Morotomi Takahiko , Ariji Eiichiro 
Published: February 2024

AbstractAimTo validate the performance of a deep learning system with detection and classification functions for a mix of radiolucent and radiopaque lesions in the anterior maxilla on panoramic radiographs.MethodsPatients with radiolucent or radiopaque lesions in the anterior maxilla on panoramic radiographs were selected retroactively from May 2022 until Feb 2002 to obtain 100 preoperative radiographs each for nasopalatine duct cysts (NDCs), radicular cysts (RCs), and impacted supernumerary teeth (ISTs). An additional 100 patients with no lesions in the anterior maxilla were selected. Two deep learning systems (Systems 1 and 2) were created and tested. For System 1, the models were created and tested using datasets of radiolucent lesions (NDCs and RCs) and No lesions. For developing System 2, the data of radiopaque lesions (ISTs) were added to those used in System 1. The neural network used was You Only Look Once ver. 7 (YOLOv7). The recall, precision, F1 score, and accuracy calculated from the confusion matrix were used to evaluate diagnostic performance.ResultsThe performance of System 2, which included the IST data, was worse than that of System 1. Even when NDCs and RCs were addressed as a joint category of radiolucent lesions, the addition of IST data resulted in a worse performance than that of System 1.ConclusionOur results indicate that combined use of radiopaque lesions (ISTs) with radiolucent lesions (NDCs and RCs) reduces the deep learning performance for radiolucent lesions with the volume of data used in the present study.
Piezoelectric PVDF‐TrFE nanocomposite mats filled with BaTiO3 nanofibers: The effect of poling conditions
Authors: Stojchevska Ema , Makreski Petre , Zanoni Michele , Gasperini Leonardo , Selleri Giacomo , Fabiani Davide , Gualandi Chiara , Bužarovska Aleksandra 
Published: February 2024

AbstractBaTiO3 nanofibers (BT NFs), prepared by electrospinning, were used as a filler for electrospun poly(vinylidene fluoride‐co‐trifluoroethylene) (PVDF‐TrFE) nanocomposite mats. The phase structure and the effect of poling conditions on the piezoelectric properties of PVDF‐TrFE/BT nanocomposites were investigated. The results showed an improved degree of crystallinity (78.6%) and a high β‐crystal phase (up to 98.3%) in all electrospun samples, independent of the nanofiber content. The two‐step poling method, applying electric fields of opposite polarity, led to significantly improved piezoelectric constants d33 (−31.7 pC N−1), strongly dependent on the added BaTiO3 nanofibers. The inclusion of piezoelectric ceramic nanofibers into a polymer matrix, easily carried out by means of electrospinning, followed by an ad hoc optimized poling treatment, allowed to develop flexible materials with enhanced piezoelectric properties, potentially exploitable in innovative conversion systems used in wearable and sensing devices.