bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting and Analyzing Influenza Activity in Hebei Province, China, Using a CNN-LSTM Hybrid Model
Authors: Li Guofan , Li Yan , Han Guangyue , Jiang Caixiao , Geng Minghao , Guo Nana , Wu Wentao , Liu Shangze , Xing Zhihuai , Han Xu , Li Qi 
Published: June 2024

Abstract

Background
Influenza, an acute infectious respiratory disease, presents a significant global health challenge. Accurate prediction of influenza activity is crucial for reducing its impact. Therefore, this study seeks to develop a hybrid Convolution Neural Network - Long Short Term Memory neural network (CNN-LSTM) model to forecast the percentage of influenza-like-illness (ILI) rate in Hebei Province, China. The aim is to provide more precise guidance for influenza prevention and control measures.
Methods
Using ILI% data from 28 national sentinel hospitals in the Hebei Province, spanning from 2010 to 2022, we employed the Python deep learning framework PyTorch to develop four distinct forecasting prediction models. We assessed each model’s prediction performance using mean absolute error (MAE) and root mean square error (RMSE).
Results
The Seasonal Auto-Regressive Indagate Moving Average (SARIMA) model had the highest error among the four forecasting models, with a MAE value of 0.8913 and an RMSE value of 1.2098. The CNN-LSTM model had the lowest error, with MAE and RMSE values of 0.0.3987 and 0.5448, respectively. The CNN-LSTM model thus had a significantly better prediction performance compared to the SARIMA model, with a 55.26% decrease in MAE and a 54.97% decrease in RMSE. When compared to the standalone Convolution Neural Network (CNN) and Long Short Term Memory neural network (LSTM) models, the CNN-LSTM model showed performance enhancements of 32.86% for MAE and 28.60% for RMSE over CNN, and of 11.05% for MAE and 13.07% for RMSE over LSTM.
Conclusion
The hybrid CNN-LSTM model had better prediction performances than the SARIMA, CNN, and LSTM models. This hybrid model could provide more accurate influenza activity projections in the Hebei Province.
Dynamics Behavior of Droplet in Hydrophilic Contraction Microchannel
Authors: Nguyen Thanh Tung 
Published: June 2024

Abstract

The droplet-based microfluidics technology achieves precise control over the behavior of droplets by designing the microchannel, controlling the flow, and managing the interactions of incompatible liquids. In this study, three-dimensional (3D) numerical simulations were conducted to investigate the behavior of droplets in a hydrophilic microchannel. With a hydrophilic microchannel, both wetting characteristics and microchannel geometric play a significant role in influencing the motion and behavior of droplets. The research introduces various droplet behavior regimes influenced by the contact angle (θ), capillary number (Ca), and viscosity ratio (λ), demonstrating that the influence of the hydrophilic microchannel occurs only at low capillary numbers. A predictive model for the critical capillary number to transition between contact and non-contact behaviors with the microchannel surface is proposed, described as follows: \(Ca>f\left(\lambda \right)({a}_{1}C+{a}_{2})\). This research provides valuable insights for liquid-phase system analysis devices that can analyze and manipulate fluids in a hydrophilic microchannel.
The dual actions of host miRNA-16a in restricting bovine coronavirus (BCoV) replication through targeting the host cell Furin and enhancing the host immune response
Authors: Shah Abid Ullah , Hemida Maged Gomaa 
Published: June 2024

Abstract

The roles of host cell miRNAs have not been well studied in the context of BCoV replication and immune regulation. The main aim of this study was to identify miRNA candidates that regulate essential host genes involved in BCoV replication, tissue tropism, and immune regulation. To achieve these goals, we used two isolates of BCoV (enteric and respiratory) to infect bovine endothelial cells (BECs) and Madine Darby Bovine Kidney (MDBK) cells. This is in addition to the ex vivo model using peripheral bovine blood mononuclear cells (PBMCs). We determined the miRNA expression profiles of these cells after BCoV infection. The expression of miR-16a is differentially altered during BCoV infection. Our data show that miRNA-16a is a significantly downregulated miRNA in both in vitro and ex vivo models. We confirmed the miRNA-16a expression profile by qRT‒PCR. Overexpression of pre-miRNA-16a in the BEC and MDBK cell lines markedly inhibited BCoV infection, as determined by the viral genome copy numbers measured by qRT‒PCR, viral protein expression (S and N) measured by Western blot, and virus infectivity using a plaque assay. Our bioinformatic prediction showed that Furin is a potential target of miRNA-16a. We compared the Furin protein expression level in pre-miRNA-16a-transfected/BCoV-infected cells to that in pre-miRNA-scrambled-transfected cells. Our qRT‒PCR and Western blot data revealed marked inhibition of Furin expression at the mRNA level and at the protein level, respectively. BCoV-S protein expression was markedly inhibited at both the mRNA and protein levels. To further confirm the impact of the downregulation of the Furin enzyme on the replication of BCoV, we transfected cells with specific Furin-siRNAs parallel to the scrambled siRNA. Marked inhibition of BCoV replication was observed in the Furin-siRNA-treated group. To further validate Furin as a novel target for miRNA-16a, we cloned the 3'UTR of bovine Furin carrying the seed region of miRNA-16a in a dual luciferase vector. Our data showed that luciferase activity in pre-miRNA-16a-transfected cells decreased by more than 50% compared to that in cells transfected with the construct carrying the mutated Furin seed region. Our data confirmed that miRNA-16a inhibits BCoV replication by targeting the host cell line Furin and the BCoV-S glycoprotein. It also enhances the host immune response, which contributes to the inhibition of viral replication. To our knowledge, this is the first study to confirm that Furin is a valid target of miRNA-16a. Our findings highlight the clinical applications of host miRNA-16a as a potential miRNA-based vaccine/antiviral therapy.
Analysis and Optimization Algorithm of Creep Sensitivity for Concrete Section during Shrinkage
Authors: Cui Jianchao , Wu Pengfei 
Published: June 2024

Abstract

Creep is an inherent characteristic of reinforced concrete materials. Over the long-term action of creep, the durability and safety of the structure will undergo significant changes; therefore, creep is an important research content for structural safety analysis. Creep calculation involves numerous parameters, making the calculation tedious and the information storage massive. Among the many factors affecting creep, different parameters have varying degrees of sensitivity to creep. In practical engineering, factors with a significant impact on creep results should be given priority. Currently, there is limited research on creep sensitivity analysis. Most studies have only conducted qualitative sensitivity analysis on some parameters affecting creep, without addressing those parameters with low sensitivity. In response to these situations, this paper takes the example of the creep strain problem at the bottom edge of concrete components during the shrinkage period and conducts a quantitative sensitivity analysis of each parameter in the fine calculation of concrete during the shrinkage period. This paper illustrates the factors that contribute to or hinder the development of creep, categorizes the importance of various factors affecting creep, and divides the creep parameters into important, general, and minor parameters. The calculation formulas have been simplified, reducing the creep calculation and information volume by nearly 80%. Through specific case analysis, the results of the method in this paper are compared with those of the fine algorithm, verifying the accuracy of this paper's approach and providing the error boundaries of the results after simplified calculation. For the problems of concrete strain at different positions and steel stress in creep analysis, this paper summarizes the corresponding important parameters, which can provide references for related engineering projects.
Lower extremity arterial embolism after intravenous thrombolysis for acute ischemic stroke
Authors: Xu Chaowei , Li Qian , Chen Jian 
Published: June 2024

Abstract

Background
Early embolic events may be a rare complication following intravenous thrombolysis for acute ischemic stroke (AIS).
Case presentation:
We present two cases of lower extremity arterial embolism occurring shortly after intravenous thrombolysis. Both patients experienced acute occlusion of large arteries and atrial fibrillation and were diagnosed with cardioembolic stroke. The first case was a 49-year-old woman who presented with left limb paralysis. Thrombolysis with alteplase was performed, and five days later, she experienced a lower extremity arterial embolism. The second patient was a 64-year-old man who presented with right limb paralysis. Thrombolysis was performed, and three days later, he experienced a lower extremity arterial embolism.
Conclusion
Early embolic events may occur following intravenous thrombolysis for AIS, especially in patients with cardioembolic stroke; we should pay attention to this potential complication.
Study on overburden rock structure characteristics and surrounding rock control technology of island working face
Authors: Xingping Lai , Haoyu Zhu , Hao Qiao , Pengfei Shan , Wenhua Yang , Longquan Wu , Chong Jia 
Published: June 2024

Abstract

Aiming at the technical problems of safe and efficient mining under the complex conditions of strong mine pressure and multiple disasters in island working face, taking ZF2822 working face of Xiagou Coal Mine as the background, theoretical analysis, numerical simulation and field measurement are used to explore the fracture structure characteristics and surrounding rock control technology of overlying rock in island working face. The results show that the ten morphological structures of the main roof fracture can be divided into four typical symmetrical structures and six asymmetric structures. According to the stress calculation formula of the key block B to the coal pillar, the stress characteristics of the 10 structures are classified and the risk classification is carried out. Among them, the (a), (e), (f) and (g) structures belong to level I. Four typical structures (a), (b), (c) and (d) were constructed to simulate the stress and strain characteristics of surrounding rock. The overlying strata subsidence displacement values of (a), (b), (c) and (d) at the roadway are 1.75 m, 1.5 m, 0.8 m and 0.6 m respectively, and the maximum stresses are 26.6 MPa, 19.5 MPa, 15.5 MPa and 10.0 MPa respectively, (a) > (b) > (c) > (d). Therefore, the surrounding rock control technology of gob-side roadway in island working face is put forward, the fracture structure of basic roof is determined and the reasonable applicable type of gob-side roadway is selected. The results after pressure relief show that the average daily microseismic energy of ZF2822 working face after pressure relief is 0.87×104J, which is about 42.38 % lower than that of April. The average stress is 1.13 MPa lower than that of the mining before the pressure relief area, and the decrease is 22.42 %. During the mining process of the working face in the pressure relief area, the average stress is 0.49 MPa lower than that before the pressure relief area, and the decrease is 9.02 %. It shows that the pressure relief has played a very good effect and provides a reference for the same type of mine.
The effects of avian hydrolyzed proteins on plasma and fecal metabolomics of adult dogs
Authors: Hsu Clare , Marx Fabio , Guldenpfennig Ryan , de Godoy Maria R. C. 
Published: June 2024

Abstract

Research has shown various hydrolyzed proteins possessed beneficial physiological functions; however, the mechanism of how hydrolysates influence metabolism is unclear. Therefore, the current study aimed to examine the effects of different sources of protein hydrolysates, being the main dietary protein source in extruded diets, on metabolism in healthy adult dogs. Three complete and balanced extruded canine diets were formulated: control chicken meal diet (CONd), chicken liver and heart hydrolysate diet (CLHd), mechanically separated chicken hydrolysate diet (CHd). A replicated 3×5 Latin rectangle design was used with 10 adult beagles. Plasma and fresh fecal samples were collected at day 28. Samples were analyzed for global metabolomics with ultra-performance liquid chromatography and high-resolution mass spectrometer interfaced with a heated electrospray ionization source and mass analyzer. In general, there were lower concentrations of dipeptides and protein degradation metabolites, indicating higher protein digestibility, in dogs fed protein hydrolysate diets in contrast with CONd (q<0.05). Higher plasma pipecolate and glutamate, higher fecal spermidine and indole propionate, and lower phenol-derived products were found in CLHd group than CONd (q<0.05), indicating lower oxidative stress and inflammation levels. The main difference in lipid metabolism between CHd and CONd was the bile acid metabolism, showing lower circulating bile acid, lower unconjugated bile acid excretion and higher taurine-conjugated bile acid excretion in the CHd group (q<0.05).
Experimental and theoretical study on ceiling temperature distributions in mountain tunnels with lateral open shafts
Authors: Zhang Yuchun , Liu Xinyu , Tan Rui , Hou Wei , Chen Longfei , Xing Shaoshuai , Li Zhisheng , Guo Yunhai , Han Xiaoqing 
Published: June 2024

Abstract

A series of fire experiments in a 1/10 scale model tunnel with a lateral open shaft were conducted. Analysis was performed to explore the maximum excess temperature and longitudinal temperature decay under the influence of a mechanical exhaust system with a lateral open shaft. Three different pool sizes and numerous extraction rates were considered. The experimental results yielded intriguing insights into the correlations between the rate of smoke extraction and the ceiling temperature. The variations in the temperature distribution of ceiling smoke upstream and downstream the fire source is different under the induced longitudinal velocity, especially for the near the fire source area. An analysis of the maximum excess temperature was conducted by inducing the heat loss coefficient \(\delta\). It is 0.85 (0.71) for the induced dimensionless longitudinal velocity \({\left( {\lambda {V_s}} \right)^'} \leqslant 0.19\) \(\left( {{{\left( {\lambda {V_s}} \right)}^'}>0.19} \right)\), which indicates the effect of a large velocity on the smoke heat loss. Then, a modified model of the maximum excess temperature was given for a tunnel utilizing lateral open shaft smoke extraction. In addition, a simple model was proposed to capture ceiling temperature decay, where the decay coefficients \({k_i}\) upstream and downstream of the fire source are proportional to\(1/{Q^{'1/3}}\)(\(V_{{in}}^{\prime }/{Q^{'1/3}}\)) for\({\left( {\lambda {V_s}} \right)^'} \leqslant 0.19\)\(\left( {{{\left( {\lambda {V_s}} \right)}^'}>0.19} \right)\). The research results have certain guiding significance for the arrangement of fire protection, fire monitoring and early warning devices in mountain tunnels.
Study of Nailed and Doweled Connections for Use in Structural Panels
Authors: Minari Vitor Hugo , Pereira Marcos Cesar M. , Junior Carlito Calil 
Published: June 2024

Abstract

Since wood is an ecologically more efficient material than steel or concrete, as it requires less energy to process and sequesters carbon, it has been increasingly studied for the incorporation of structural panels on the world market. Unfortunately, Brazilian culture is a major barrier to overcoming when it comes to building with alternative materials. Against this backdrop, the main objective of this project is to study structural panels made of Nail Laminated Timber (NLT) and Dowel Laminated Timber (DLT) based on the experimental analysis of panels produced in the laboratory. These types of panels are highly efficient for use as floors and slabs. They are also glue-free wood panels and, in the case of DLT, panels that have no other material in their composition apart from the wood itself.
Effect of Welding Parameters on Microstructure and Mechanical Properties of Dissimilar AISI 304 / Ductile Cast Iron Fusion Welded joints
Authors: El-Shennawy M. , Abdel-Aleem H. A. , Ghanem M. M. , Sehsah A. M. 
Published: June 2024

Abstract

Problems associated with dissimilar fusion welding are mainly originated from the differences in melting points, coefficients of thermal conductivity and thermal expansion, …etc., and carbon content when welding dissimilar ferrous materials. In this study, the problems associated with dissimilar fusion welding of stainless steel AISI304 with ductile cast iron DCI grade A536 were investigated. Using shielded metal arc welding (SMAW) process, various welding parameters were studied to investigate the successful/accepted dissimilar welded joint(s). Welding electrodes and welding techniques were the main studied parameters. Microstructural and mechanical investigations were carried out for welded joints under different welding parameters. Tensile, impact and hardness tests coupled with optical and scanning electron microscopic examinations with EDX analysis were made for metallurgical and mechanical evaluations of welded joints. Main results showed that joints welded by ENiCrFe-3 electrode in root pass and ENiFe-CI in filling passes were the successful dissimilar welded joints with 422MPa tensile strength which represents 104% of annealed DCI base metal and without any changes in toughness properties, where toughness at HAZ of DCI was 18J. High Ni content in weld metal increased the strength, ductility and reduced the weld metal dilution.
Diverse Enough but with Common Views:Building a Global Stance Classifier on COVID-19
Authors: Benkhedda Youcef , Magdy Walid 
Published: June 2024

Abstract

Stance detection, which determines a user’s position on a specific topic through their generated content or interactions, has been widely studied for various domains. However, most existing work focuses on regional or community-specific topics, lacking a global perspective. In this paper, we investigate the ability to detect stance on the COVID-19 pandemic, a truly global issue transcending geographical and cultural boundaries. We compile a large, multilingual dataset of 7.9 million tweets related to COVID-19, accompanied by media content, spanning 3,516 users from 90 countries and 31 languages. Our objective is to develop an effective stance detection approach that can accurately predict users’ stances (pro-vax or anti-vax) regardless of their language or location. To achieve this, we propose a network-based method that leverages user interactions on Twitter, such as friends, likes, replies, and mentions, in addition to textual content. Despite the significant cultural diversity within our dataset, our approach demonstrates the ability to accurately predict users’ COVID-19 stance by analyzing their interaction signals and network homophily patterns. Our classification model achieves an F-score of 0.95 for both pro-vax and antivax user stances, surpassing state-of-the-art text-based methods. The findings suggest that echo-chamber effects and network homophily can extend beyond borders and languages, forming global patterns of polarization around certain topics. Our work highlights the potential of network-based approaches for stance detection on global issues and contributes insights into the challenges and opportunities of developing inclusive and robust models across diverse contexts.
The NHANES 2011-2018 study found a negative correlation between bone mineral density and the non- high density to high density lipoprotein cholesterol ratio (NHHR) in U.S. adults
Authors: Zhang Hanwen , Mei jian , Deng wei 
Published: June 2024

Abstract

Introduction
Many research have shown a negative link between lipids and bone metabolism, and the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) may be a new marker of lipid metabolism. The relationship between NHHR and lumbar bone mineral mass (BMD) is unknown. NHHR and lumbar BMD were the study's main focus.
Method
NHHR and lumbar BMD were examined using 2011-2018 National Health and Nutrition Examination Survey (NHANES) data and multivariate logistic regression models. Also employed were interaction tests and smoothed curve fitting.
Result
Our investigation found a connection between increased NHHR levels and decreasing lumbar BMD after adjusting for covariates. All four measurement points showed this association, and lumbar BMD decreased by 0.037 g/cm2 relative to the lowest quartile.
Conclusion
We discovered an interestingly negative correlation in US citizens between NHHR and lumbar BMD. This emphasizes the need of NHHR in lipid target monitoring.
From Freehand to Precision: Dynamic Navigation Systems in Transmandibular Nerve Canal Implantation - A Case Series
Authors: Che Shiwei , Ismail Noor Huda , Wuxiang Wang , Awang Raja Azman 
Published: June 2024

Abstract

Background:
This article explores the utilisation of trans-mandibular nerve canal implant in patients who have restricted space in their jaw as a result of the close proximity to the inferior alveolar nerve. The article discusses the drawbacks of conventional implant techniques in these situations and presents innovative approaches, for example dynamic navigation systems (DNS) and surgical guides, to enhance precision and safety during implant placement.
Case Presentation:
The paper showcases successful implementation of implantation by employing thorough preoperative planning and strategically selecting implant kinds, that range from standard to ultra-short, depending on individual anatomical requirements. This is illustrated through in-depth case studies.
Conclusion:
The results, confirmed by subsequent evaluations, demonstrate the durability of the implants without any notable issues, affirming the effectiveness as well as safety of such surgical methods for intricate dental implant procedures.
Coupled Self-Replication and Self-Assembly of Inorganic Nanoparticles into Biosimilar Networks
Authors: Kotov Nicholas , McGlothin Connor , Whisnant Kody , Turali-Emre Emine , Owuor Dickson , Xiao Xiong Ye , Bogdan Paul , VanEpps J. Scott 
Published: June 2024

Abstract

Processes of self-replication, engineered using (bio)organic molecules and amphiphilic microdroplets, reveal fundamental requirements for the origin of life (1–4). However, their practical significance is limited by the absence of higher-level organization in the newly formed chemical species. The next generation of self-replicating systems should include the emergence of partial order although their realization is chemically challenging. Self-replication of inorganic colloids is particularly attractive technologically, but the energy requirements for such processes appear to be utterly prohibitive. Here we show that silver nanoparticles (NPs) self-replicate via photoinduced autocatalytic reduction under a variety of conditions. Newly generated NPs self-assemble into chains due to spatially restricted attachment pattern.(5) The continuous self-replication produces nanoscale networks with complex long-range organization, including nanoparticle colonies that are morphologically analogous to biofilms. The conformal networks formed on solid surfaces and other particles display high conductivity, which, combined with network organization, enable multi-functional coatings produced at ~30 lower light power requirements than lithography. The emergence of complex structural patterns via non-biological mechanisms points to the abiotic origin of biosimilar inorganic microstructures misinterpreted as early life forms.