Miracle-dz/UniFAR-FTUs huggingface dataset:
Real World Evidence on the Availability of Anti-Nuclear Antibody (ANA) in Diagnosis of Connective Tissue Diseases; A Retropective Single Center Trial

Objectives: Antinuclear antibodies (ANA) are autoantibodies against the cellular compartments such as the nucleus, nucleolus, nuclear membrane and cytoplasm. Determining the significance of ANA in the diagnosis of connective tissue diseases was aimed. Methods: The test results and diagnosis of the patients who applied to Şişli Etfal Research Hospital Rheumatology out-patient clinic between June 2011 and October 2012. The sensitivity, specificity, positive and negative predictive values of IIF-ANA in the diagnosis of connective tissue diseases were also calculated. Results: It was determined that for every 1 out of 5 patients who applied to Rheumatology Outpatient Clinic, ANA test was ordered and for one third of those patients for whom the order was made, ANA test results were positive. For titres of 1/320 and higher, the specificity and positive predictive value of ANA in the diagnosis was found to be 99% and 96% respectively. For 1/100 and higher as the titer, sensitivity was 65%, specificity was 88% and positive and negative predictive values were 64% and 88% respectively. These values showed that 1/100 titer was suitable to use in screening. Conclusion: Positive ANA results , clinical findings and symptoms of the patient are important in diagnosis of connective tissue diseases.
UAV-based inspection of bridge and tunnel structures: an application review

abstract: Bridges and tunnels are large and complex structures that demand periodic inspections to assess their physical conditions. Although both have different designs and constructions from each other, a common problem they share is the drawbacks that their conventional inspections face. Moreover, conventional procedures not only are laborious, time-consuming, and costly, but also involve high and/or hard-to-reach places, often exposing the specialized inspectors to danger. To overcome these problems, the Unmanned Aerial Vehicle (UAV) is being explored to automate these inspections. Recently, the number of researches employing it within the civil infrastructure condition assessment has been growing in recent years, especially for the inspection of large and complex structures. Unlike the UAV-based bridge inspection that already has some review articles available in the literature, there are none yet for the tunnel inspection, to the best of authors' knowledge. Therefore, this article intends to conduct not only a review of the few UAV-based tunnel inspection researches available in the literature, but also an up-to-date review of UAV-based bridge inspection researches. Finally, the key challenges and future trends of the UAV-based inspection of these two structures are discussed, followed by the review conclusions.
Study on the Minimization Design of Microstrip Line Radiation Field

Based on finite difference time domain (FDTD) method, a monoaxial anisotropic perfectly matched layer was used as absorbing boundary condition, a gauss pulse signal with a bandwidth of 0-10GHz and a peak value of 1V was used as excite source, the impedance of microstrip was 50Ω , excitation signal source impedance and load impedance were matched with the microstrip line characteristic impedance. Firstly, the near zone radiation field of the microstrip line was obtained via FDTD method,then, the near-zone to far-zone transformation method was used to obtain far-zone field, the far-zone field was on the surface of a sphere which had a radius of 3 meters and the centered at the origin, finally, the effects of microstrip line width and dielectric thickness of microstrip line on far-zone field were analyzed. The results can be used to minimize the radiation field produced by the microstrip line under the condition of meeting the process and technical specifications.
Analysis of Multifactor-Driven Myopia Disease Modules to Guide Personalized Treatment and Drug Development

Myopia is recognized as a multifactor, multicascade complex disease. However, people still know little about the pathogenesis of myopia. Therefore, we aim to guide the personalized treatment, drug research, and development of myopia. Here, based on the interaction network of myopia-related genes, this study constructed a multifactor-driven myopia disease module map. We first identified differentially expressed (DE) miRNAs in myopia. Then, we constructed a myopia-related protein interaction network targeted by these DE miRNAs. Further, we clustered the network into modules and identified module-driven factors, including ncRNAs and transcription factors. Especially, miR-16-5p and miR-34b-5p significantly differentially expressed drive the pathogenic module to influence the progression of myopia. At the same time, transcription factors were involved in myopia-related functions and pathways by regulating the expression of genes in modules, such as Ctnnb1, Myc, and Notch1. In addition, we identified 43 genes in modules that played key roles in the development and progression of myopia such as Vamp2, Egfr, and Wasl. Finally, we constructed a comprehensive multifactor-driven myopia pathogenic module landscape and predicted potential drug and drug targets for myopia. In general, our work not only provided candidates for biological experiments which laid the foundation for the in-depth study of myopia but also has a high reference value for the personalized treatment of myopia and drug development.
Effect of Water on Mechanical Properties of Coal Measures Mudstone Using Nanoindentation

Mudstone rich in clay minerals exhibits an obvious water-induced weakening effect, and the mechanical properties of mudstone are significantly affected by the groundwater. To investigate the effect of water on mechanical characteristics of mudstone at microscale, a series of uniaxial compression and nanoindentation tests were conducted on mudstone specimens at different moisture contents. Microscale measurements are upscaled to estimate the corresponding magnitudes at the macroscale using the Mori-Tanaka method. The results showed that the indentation modulus varied significantly, from as low as 0.2 GPa to a quite high value of 125 GPa, indicating a strongly heterogeneous distribution of mudstone. The water illustrated a significant effect on the microscale mechanical properties of water-sensitivity minerals like clay minerals. The water-sensitivity minerals occupied the highest proportion of the mudstone and were believed to play an important role in the mechanical properties of mudstone. For water-bearing specimens, the comparison with elastic modulus data obtained from common method indicated similar values as those predicted by homogenization method. The results of this study indicated that nanoindentation technique is a feasible experimental technique to assess the macroscale mechanical properties of rock materials.
Novel Luteolin-Loaded Chitosan Decorated Nanoparticles for Brain-Targeting Delivery in a Sporadic Alzheimer’s Disease Mouse Model: Focus on Antioxidant, Anti-Inflammatory, and Amyloidogenic Pathways

Preparation and evaluation of a non-invasive intranasal luteolin delivery for the management of cognitive dysfunction in Alzheimer’s disease (AD) using novel chitosan decorated nanoparticles. Development of luteolin-loaded chitosomes was followed by full in vitro characterization. In vivo efficacy was evaluated using a sporadic Alzheimer’s disease (SAD) animal model via intracerebroventricular injection of 3 mg/kg streptozotocin (ICV-STZ). Treatment groups of luteolin suspension and chitosomes (50 mg/kg) were then intranasally administered after 5 h of ICV-STZ followed by everyday administration for 21 consecutive days. Behavioral, histological, immunohistochemical, and biochemical studies were conducted. Chitosomes yielded promising quality attributes in terms of particle size (PS) (412.8 ± 3.28 nm), polydispersity index (PDI) (0.378 ± 0.07), Zeta potential (ZP) (37.4 ± 2.13 mv), and percentage entrapment efficiency (EE%) (86.6 ± 2.05%). Behavioral findings showed obvious improvement in the acquisition of short-term and long-term spatial memory. Furthermore, histological evaluation revealed an increased neuronal survival rate with a reduction in the number of amyloid plaques. Biochemical results showed improved antioxidant effects and reduced pro-inflammatory mediators’ levels. In addition, a suppression by half was observed in the levels of both Aβ aggregation and hyperphosphorylated-tau protein in comparison to the model control group which in turn confirmed the capability of luteolin-loaded chitosomes (LUT-CHS) in attenuating the pathological changes of AD. The prepared nanoparticles are considered a promising safe, effective, and non-invasive nanodelivery system that improves cognitive function in SAD albino mice as opposed to luteolin suspension.
On the value of wavelength-add/drop in WDM rings with uniform traffic

Summary form only given. For WDM SONET ring networks transporting uniform traffic, we have devised a traffic-bundling methodology that enables one to both quantify the maximum terminal-equipment savings attainable using wavelength-add/drop, and to produce constructions that achieve these optima. Maximum terminal-equipment savings are seen to increase swiftly, over the region of interest, with both network size and inter-node demand.
Development of an IoT Electrostimulator with Closed-Loop Control

The most used approach in the motor rehabilitation of spinal cord injury is functional electrical stimulation. However, current devices do not provide real-time feedback, work in the closed-loop, and became remotely operable. In this scenario, this paper presents the development of an open access 4-channel IoT electrostimulator device with an inertial sensor. The electrostimulator circuit was designed with four modules: Boost Converter, H-bridge, Inertial Measurement Unit, and Processing Module. The firmware was implemented in the processing module to manage the modules to perform closed-loop stimulation (using PID controller). To perform the proof of concept of the device, a closed loop test was performed to control the ankle joint, performing the movements of dorsiflexion, plantar flexion, inversion, and eversion. The designed hardware allowed one to freely change the boost converter voltage and modulate the signal with 200 μs of pulse duration and 50 Hz of period in a safe and stable way. Furthermore, the controller was able to move the ankle joint in all desired directions following the reference values and respecting the imposed constraints. In general, the developed hardware was able to safely control a closed-loop joint.
Internal Governance of Interest Organizations: The Role of Boards of Directors in Advocacy Performance

Studies explaining interest organizations’ influence typically focus on the role of groups’ structural characteristics, such as group type. However, we ask whether the boards of interest groups can also play a role in their organizations’ advocacy performance. Drawing from management scholarship, we investigate how the governance practices and characteristics of the boards of interest organizations are associated with those organizations’ advocacy performance. To study this, we surveyed the board members of Finnish elite interest organizations and found that board performance in strategy tasks (e.g., long-term planning and connecting with stakeholders) is strongly related to advocacy performance. Moreover, we found that the gender diversity of boards is negatively associated with success in advocacy, and the frequency of board meetings is curvilinearly associated. In contrast, board performance in control tasks (e.g., monitoring of management), board size, and inclusive practices are not associated with advocacy performance.
Vehicle type classification under traffic monitoring based on improved capsule network

In order to solve the problem of vehicle congestion in smart cities, this paper proposes a new network model structure (VGG8-1-CapsNet) to classify the types of vehicles. First, the first 8 convolutional layers of VGG16 and one convolutional layer are combined to form the feature extraction layer of the network model. Secondly, the obtained features are input into the capsule network, and the three-dimensional spatial feature conversion is performed on the extracted features. Finally, the dynamic routing algorithm is used to output, so as to achieve the purpose of vehicle classification. The experiment-al results show that the model has 98.98% accuracy on the expanded BIT-Vehicle, and the training speed is faster.
Does Green Finance Contribute to Corporate Technological Innovation? The Moderating Role of Corporate Social Responsibility

Technological innovation fundamentally drives sustainable economic development, and green finance provides an institutional guarantee for technological innovation. In this study, we obtained the data from 31 provinces of China during 2010–2019 to set up a green finance indicator system following the entropy method. The focal points in this paper are investigating the relationship regarding green finance and corporate technological innovation, and whether corporate social responsibility (CSR) strengthens such relationship. To do so, we matched the data of non-financial listed companies. The results are as follows: (1) Green finance can significantly enhance corporate technological innovation, and CSR has a positive moderating effect on this relationship between green finance and corporate technological innovation. (2) Based on the results of heterogeneity analysis, the positive impacts regarding green finance over technological innovation are more significant in larger companies, and companies in more economically developed eastern regions. More notably, green finance played a more significant role before 2016 than after. This study offers insights to future references for analyzing the green finance over economic sustainable development characterized by technological innovation.
Contaminant transport model in transient and unsaturated conditions applied to laboratory column test with tailings

Mining is an important economic activity in the modern world. However, despite the generated benefits, mining produces tremendous volumes of tailings, an environmental liability with numerous adverse effects. Researches about contaminant transport in tailings dam are important to assess the degree of contamination and to propose preventive or remedial measures. In geotechnical practice, the flow of solutes is generally characterized by numerical solution of the Richards equation to describe water movement followed by advection-dispersion equation to describe contaminant movement. This study aimed to model and simulate contaminant transport in a laboratory column test, using a new analytical formulation and mathematical codes, through tailings in transient unsaturated conditions. The analytical solution for the Richards equation was used to simulate the variation in the volumetric water content and to determine the transient contaminant plume using the advection-dispersion equation subsequently. The models were used to calibrate experimental data from hydraulic characterization and contamination tests. Finally, the normalized contaminant plume (cw/c0) was simulated as a function of time and space. Comparisons with experimental data showed that the analytical formulations adequately expressed the process of contaminant infiltration through the unsaturated porous medium. The formulations offered effectively and are configured as a new approach to solve various contamination problems in transient unsaturated conditions, providing insights into many complex processes that occur in the lab tests and requires far less computational effort compared with current programs to modeling the solute transport using numerical solutions, as the versatile commercial Software HYDRUS.
Flexural Strength of Dental Fiber Composite Post Manufactured with a Novel Approach

Thermoplastic resin fiber composites have an easy fabrication process, good mechanical properties, and compatible stiffness to tooth dentin. However, they have not yet attracted much interest in the field of dentistry. The current study was carried out to test a new proposed approach to manufacture a fiber reinforced composite endodontic post and evaluate its flexural strength through a two-point inclined loading test. The proposed fiber post manufacture approach depends upon a braiding technique of the glass fibers’ (GF) reinforcing component with thermoplastic polypropylene (PP) resin fibers that will later represent the resin matrix after thermal melting. Posts were made of different core (70%) and sheath (30%) construction (PP/GF ratios) using three different GF types and seizing pre-treatment to both fiber types. Two-point inclined loading test at 45 °C applied force angle was used to test the posts’ flexural strength. Fiber posts (1.6 mm in diameter) with pure GF (de-sized starch E-GF and pre-silanized S-GF) core, and sheath construction with higher PP/GF ratios, showed the significantly highest two-point bending strength (56.67 ± 4.89 and 53.96 ± 1.81 MPa, respectively), among experimental posts groups (except for the commercial control posts). However, posts with PP core type showed the lowest values (21.59 ± 1.86 and 16.54 ± 1.94 MPa for de-sized and E-glass sheath fibers, respectively). Based on these findings, the proposed approach was reliable in producing fiber-reinforced composite post with the desired dimensions and fiber distribution. Post construction with a pure GF core and higher PP/GF ratio showed considerably higher flexural strength and GF volume fraction comparable to commercial available post types.
Impacts of Chemical Initial Conditions in the WRF-CMAQ Model on the Ozone Forecasts in Eastern China

Ozone (O 3 ) has become the major factor for exceeding air pollution standards in many Chinese cities, especially in the more economically developed and densely populated regions, such as eastern China. In this study, we applied the Weather Research and Forecasting/Community Multiscale Air Quality (WRF/CMAQ) model to predict the air quality, and evaluated the influences of different chemical initial conditions on the O 3 forecasts with observations in Tai’an and other 13 cities in eastern China in June 2021. The influences of different chemical initial conditions on the O 3 forecasts are presented by using two sets of meteorological data (NCEP Final Operational Global Analysis [FNL] and Global Forecast System [GFS]) as initial conditions (IC) and boundary conditions (BC) to drive the WRF/CMAQ model. It was found that the O 3 concentrations forecasted by FNL-GFS, in which the chemical IC derived from the CMAQ simulation results by using the FNL data as IC and BC, were closer to observations in all cities than GFS-GFS, in which the chemical IC derived from the CMAQ simulation results by using the GFS data as IC and BC. The normalized mean bias (NMB) values of FNL-GFS for O 3 met the benchmark ( ± 15%), while the NMB values of GFS-GFS in Hangzhou and Shijiazhuang did not meet the benchmark. The model performances in Tai’an city were similar to those in 13 cities with better results for FNL-GFS than GFS-GFS. The comparisons of contributions of source regions to O 3 in the receptor Tai’an city indicate that different episodes had different relative contributions of source regions and that the simulations of FNL-GFS were more similar to the retrospective simulations than GFS-GFS. The comparisons of contributions of different source sectors to O 3 in Tai’an city show that industry emissions are the largest contributor, followed by transportation, power plants and residential emissions
The ED90 of Prophylactic Oxytocin Administration in Low vs. High-Risk Parturients in Terms of Post-Parturition Uterine Tonicity; An Up-Down Sequential Allocation Dose-Response Study

10.30699/jogcr.7. 4.314 Background & Objective: This study was performed to determine and compare the ED90 of prophylactic oxytocin (OX) infusion after delivery of the placenta during cesarean section (CS) in low- and high-risk parturients for uterine atony. Materials & Methods: This experimental study was a single-blind and dose-response study using a 9:1 biased-coin sequential allocation method to estimate the ED90 of prophylactic infusion of OX in women with high and low risk for uterine atony who underwent CS. The total administrated OX dose of each patient was determined in the two study groups. The primary outcome was the ED90 for desirable uterine tone based on the opinion of the in-charge obstetrician. The number of subjects receiving supplemental uterotonics was compared. Results: In the low-risk group, three (3.7%), out of the 41 parturients, did not achieve a satisfactory suitable response to OX dose of 9; on the other hand, 24 high-risk parturients (58%) did not achieve a satisfactory and reasonable response to OX dose of 9. The OX ED90 was significantly greater for the high risk-group (11.55 units, 10.39-14.86) than the low-risk group (8.13 units, 8.31-9.56). Fisher’s exact probability test showed a significant difference in ED90 of OX between the two groups ( P =0.02). Conclusion: The present study results showed that the mean ED90 of OX in low-risk parturients was significantly lower than that of high-risk ones. We suggest differentiation between low-risk and high-risk parturients in the guidelines of OX administration.
An x‐band coplanar magic‐T with high power handing

An x‐band coplanar magic‐T with high power handing is proposed by combining an H‐plane power divider and an iris for matching in E‐plane. The proposed magic‐T has −15 dB impedance bandwidth in experiment, which is about 23% covering form 8.9 to 11.2 GHz. Furthermore, the isolation is better than 46.2 dB with the typical insertion loss of 0.15 dB in the whole bandwidth with the contribute of the symmetrical structure. Herein, the average power‐handling capability (APHC) could be estimated at 865 W by simulated analysis, since the structure is all‐metal. Excellent correspondence between the simulated and measured results is demonstrated.