Miracle-dz/UniFAR-FTUs huggingface dataset:
Satisfaction Levels of Social Studies Teacher Candidates with Regard to Distance Education

This study aimed to examine the satisfaction levels of pre-service social study teachers regarding distance education. Based on this purpose, survey and causal comparison models, which are among the quantitative research approaches, were preferred together. The study population consists of students in the Social Studies Teaching undergraduate program. The sample consisted of 238 pre-service Social Studies teachers studying in the Social Studies Teacher Education program at İnönü University, who were selected from the population using the simple random sampling method. The data of the study were obtained by using the "satisfaction scale" developed by Ilgaz (2008). The data collected with the satisfaction scale used to determine the satisfaction of pre-service social studies teachers with distance education were examined for normality before being analyzed. In this direction, skewness and kurtosis values were examined (Gürbüz Şahin, 2017). It was determined that the skewness and kurtosis values obtained because of the analysis were within the "±1.5" range determined according to Tabachnick and Fidell (2013). The determined values show that the scale data meet the normal distribution criteria. Therefore, unrelated samples t-test and ANOVA, which are parametric tests, were used in the analysis because of the research, it was concluded that the satisfaction levels of pre-service teachers regarding distance education were high.
Maize Yield and Associated Soil Quality Changes in Cassava + Maize intercropping Syste After 3 Years of Biochar Application

Field experiments were carried out to study the effects of biochar on Maize (Zea mays L) yield and the associated soil quality changes in the degraded uplands of East Java, Indonesia from September 2009 to October 2011. The experimental treatments consisting of two cropping system, namely: 1) maize intercropped with cassava (Manihot esculenta Cranz), 2) maize monoculture; and 3 treatments of organic amendments, i.e: 1) without organic amendment, 2) farm yard manure (FYM), 3) biochar from FYM. The addition of FYM and FYM biochar improved soil quality and maize and cassava yield as well as the land use efficiency. The highest yield in maize+cassava intercropping was obtained by FYM treatment (4.06 Mg ha -1 ), whereas for the monoculture maize was obtained by FYM treated maize (4.56 Mg ha -1 ). The highest LER was obtained by maize + cassava intercropping treated with FYM biochar, i.e. 1.59 for the first year panting and increased to 1.78 in the second year planting. The beneficial effect of FYM lasted for a year, whereas that of treated with biochar was still exist until the harvesting of the third year maize.
Software Defined Radio platform to evaluate processing latency of 5G NR MIMO functions

This paper presents a Software Defined Radio (SDR) implementation in C++ of a Multiple Input Multiple Output (MIMO) transceiver platform using the open-source 5G physical layer free5GRAN. The platform evaluates the processing latency of physical layer functions at the receiver on a x86 processor, required for 2 and 4 layer MIMO transmissions. The goal is to verify if the functions can be implemented in software, and integrated into the free5GRAN 5G physical layer. The implemented MIMO transmission schemes are Spatial multiplexing based on V-BLAST and Alamouti Space Frequency Block Coding based on LTE Transmission Mode 2. Results show that MIMO decoding adds significant processing latency that may not respect the time budget for decoding. To reduce latency, functions have been implemented using AVX2 instructions and processing times between sequential and AVX2 execution are compared. Measurements are performed in a Faraday cage and the code will be open-source to provide reproductible results.
A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage

In this letter, we study the say decentralized scheduling of an energy storage system say shared among residential households. In particular, we consider the households as learning agents and model their interaction as a Markov Game. To address the challenges associated with the non-stationary nature of the multi-agent learning, we propose a consensus-based Tabular <inline-formula> <tex-math notation="LaTeX">$Q-$ </tex-math></inline-formula>learning method. Additionally, we provide simulation studies utilizing a real-world household dataset and demonstrate the effectiveness of our approach.
MFPWTN: a multi-frequency parallel wavelet transform network for remote sensing image super-resolution

Abstract. How to fully capture high-frequency information is an important issue in the remote sensing image super-resolution (SR) task. Most of the existing convolutional neural network based methods usually apply the attention mechanism to capture the high-frequency information. However, it is often insufficient since the remote sensing images usually contain more high-frequency information than natural images. Recently, some studies try to transform the original image into the wavelet domain to capture more high-frequency information. However, we observe that these methods usually apply similar network structures to learn different wavelet components, which will be difficult to fully capture the different features. To solve this issue, we propose a method named multi-frequency parallel wavelet transform network (MFPWTN) for remote sensing image SR. Specifically, we initially design two different network structures to reconstruct the high-frequency and low-frequency wavelet components, which can fully capture the characteristics of different frequencies. Subsequently, we introduce a high-frequency fusion module to enhance the information transmission among different high-frequency wavelet components. In addition, we employ the dilated convolution to establish the network structure for reconstructing the low-frequency wavelet component, which allows us to capture different receptive fields by using relatively few parameters. The experimental results on two public remote sensing datasets, UCMerced-LandUse and NWPU-RESISC45, show that the proposed MFPWTN can get superior performance over many existing state-of-the-art algorithms.
The Many Faces of Arrhythmogenic Cardiomyopathy: An Overview

Abstract Arrhythmogenic cardiomyopathy (AC) is a disease that involves electromechanical uncoupling of cardiomyocytes. This leads to characteristic histologic changes that ultimately lead to the arrhythmogenic clinical features of the disease. Initially thought to affect the right ventricle predominantly, more recent data show that it can affect both the ventricles or the left ventricle alone. Throughout the recent era, diagnostic modalities and criteria for AC have continued to evolve and our understanding of its clinical features in different age groups as well as the genotype to the phenotype correlations have improved. In this review, we set out to detail the epidemiology, etiologies, presentations, evaluation, and management of AC across the age continuum.
Design Optimization of Agri‐Photovoltaic Systems in Different Climate Regions †

This paper examines the optimal design for agri‐photovoltaic (agri‐PV) systems. Agri‐PV systems should be evaluated on the total crop yield and power generation, and the balance is essential. Specifically, the amount of solar irradiance reaching the farmland and power generation by PV systems varies by panel separation and tilt angle, affecting crop yield. Quantitative analysis is essential for balancing. This study investigated the balance between the output of Agri‐PV installed on farmland and photosynthetic photon flux density (PPFD), a crucial indicator for crop growth, and discussed the optimal solutions for Agri‐PV systems installed in various regions. Simulations were conducted for Miyazaki (semi‐tropical) and Nagano (inland climate) to understand the changes in different climate regions. Miyazaki has higher PPFD and PV output than Nagano because Miyazaki has more solar irradiance and longer sunshine duration than Nagano. When the normalized panel pitch is small, PPFD changes significantly by the tilt angle. When the normalized panel pitch is large, the profit may be maximized by setting the panel tilt angle to maximize the PV output. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
The petrogenesis of the Jingde granodiorite and its MMEs:Constraints from geochemistry,zircon U-Pb dating and Hf isotopic compositions

Petrographic features,whole-rock major and trace elements,zircon U-Pb dating and Hf isotopic compositions are reported for the granodiorite and its mafic microgranular enclaves(MMEs) from the Jingde pluton,South Anhui Province.The MMEs have classical igneous petrographic textures with abundant acicular apatites which indicate a rapid cooling process.The low Mg#(45) indicates that MMEs may not come from the mantle source.Zircon U-Pb dating yields an age of 139.7±1.3Ma for the host granodiorite and 142.3±1.7Ma for the MMEs,which are identical within analytical errors.The eHf(t) for host granodiorite ranges from-2.5 to 0.4,corresponding to crust Hf model ages(tDMC) of 1170~1350Ma.Similarly,the MMEs have eHf(t) of-5.2~1.8 and corresponding crust Hf model ages(tDMC) of 1090~1530Ma.Both spectra of Hf model age peak between 1.2~1.3Ga. The consistency of U-Pb age and the similar ranges of Hf isotope data indicate that the MMEs in granodiorite are formed by mingling of magmas from the same source,partial melting of crustal materials which likely formed during the Neoproterozoic convergence along the Jiang-Shao suture.On tectonic discrimination diagrams,Jingde granodiorite plots in the VAG region.In a Sr/Y versus Y diagram,Jingde granodiorite also plots in arc field.Its magma zirconium saturation temperature ranges between 630℃ and 680℃ and the Ce(Ⅳ)/Ce(Ⅲ) of zircon ranges from 240 to 530.Low temperature and high oxygen fugacity are consistent with its arc characteristics.Considering the tectonic evolution of eastern China in the Early Cretaceous-Late Jurassic era,we proposed that the Jingde granodiorite was formed by lower crust partial melting triggered by slab rollback.
Confirmatory factor analysis of the Perception of Academic Stress Scale

Stress is a condition that must be experienced by humans, including students. This happens because every student will always be faced with a condition to meet the demands of the environment. Students will experience stress if they feel they do not have the ability to meet these academic demands. Therefore, an instrument is needed that can measure academic stress felt by students. This study aims to test the construct validity of the Perception of Academic Stress Scale (PAS)-Adaptation of Bedewy & Gabriel. Before conducting factor analysis, the adaptation and modification process of the instrument was carried out. The adaptation process was carried out to change the language, from English to Indonesian. The modification process was carried out to adjust the items to the situation and conditions of Indonesian students. The research subjects came from Surabaya State University students, who were in semesters 1, 3 and 5. The validity of the PAS construct was sought using Confirmatory Factor Analysis (CFA). To obtain the factors underlying the PAS-Bedewy & Gabriel Adaptation, it was done through 2 stages. Based on the five stages of extraction, 3 supporting theoretical factors were obtained. Factor 1: which relates to perceived academic load, supported by items no. 3, 6, 7 and 8; Factor 2: which relates to examinations, supported by items no. 10 and 11. Factor 3: which relates to confidence in completing assignments or lectures, supported by items no. 5, and 13. The study supports Bedewy & Gabriel's first theoretical construct, which is based on 3 factors namely Factor 1: pressures to perform; Factor 2: perceptions of workload; Factor 3: academic self-perceptions.
Stability analysis of an underground excavation with reference to dynamic loading and groundwater

Research shows that dynamic loadings, such as seismic events and explosive loadings, and groundwater are of great significance to the stability of an underground excavation in a jointed rock mass. To date, some achievements have been made in these two aspects. However, the stability analysis of an underground excavation in a jointed rock mass seldom takes account of and reports the effects of dynamic loading and groundwater. The Distinct Element Method (DEM) is used to analyze the influence of the peak velocity and frequency spectrum which are the primary factors in the analysis of the seismic wave commonly induced by an earthquake. The influence of the groundwater on the stability of the underground excavation in a jointed rock mass is also investigated. This research shows that groundwater level plays an important role, whereas the other two hydraulic parameters (joint permeability and hydraulic aperture at zero normal stress) are much less significant in the stability analysis. Preliminary discussions on how the dynamic loadings and groundwater influence the stability of the surrounding rock mass are included. The prediction of the stress field and the displacement field in these coupled conditions are also made. Resume: Recherche l'exposition qui les chargements dynamiques, tels que des evenements seismiques et des chargements explosifs, et des eaux souterraines sont de grande importance a la stabilite d'une excavation souterraine dans une masse jointe de roche. Actuellement, quelques accomplissements ont ete faits dans ces deux aspects. Cependant, l'analyse de stabilite d'une excavation souterraine dans une masse jointe de roche rarement considere et rapporte aux effets le chargement dynamique et les eaux souterraines. La methode distincte d'element (DEM) est employee pour analyser l'influence de la vitesse et du spectre maximaux de frequence qui sont les facteurs primaires dans l'analyse de la vague seismique generalement induite par le tremblement de terre. L'influence des eaux souterraines sur la stabilite de l'excavation souterraine dans une masse jointe de roche est egalement etudiee. Cette recherche prouve que le niveau d'eaux souterraines joue un role important, tandis que les deux autres parametres hydrauliques (permeabilite commune et ouverture hydraulique a l'effort normal zero) sont beaucoup moins significatifs dans l'analyse de stabilite. Des discussions preliminaires sur la facon dont les chargements et les eaux souterraines dynamiques ont influence la stabilite de la masse environnante de roche sont engagees. Les previsions du champ de contrainte et du champ de deplacement en cela des conditions couplees est egalement faites.
Fault Severity Estimation in Cracked Shafts by Integration of Phase Space Topology and Convolutional Neural Network

With the rapid advancement of industrial systems and the unavoidable complications and interconnectedness in systems, diagnostics of industrial machinery are achieving paramount importance. Accurate estimation of health condition of industrial machinery becomes more challenging due to the inherent nonlinearity, complexity, and uncertainty of the observations. Nonlinear dynamic analysis has proven to be a powerful tool for providing information about the health condition of a system that can be used for diagnostic applications. The current study particularly focuses on crack depth estimation using phase space analysis. Phase space provides a topological representation of the dynamics of the system and is highly informative about the health condition. The information suitable for diagnostics is employed by Convolutional Neural Networks, which are known to be powerful in extracting spatial information from maps. The proposed diagnostic method is evaluated on a Jeffcott rotor model with transverse crack in the rotating shaft to estimate the severity of the fault from the phase space topology as a case study.
Effects of Reservoir Drawdown on Riffle Macroinvertebrate Communities

In 2007 Keystone Pond, a reservoir behind the Boardman dam, Boardman River, Grand Traverse County, Michigan, USA was drawn down in preparation for dam removal. The objective of this study was to quantify the effects of drawdown on benthic macroinvertebrate riffle communities by comparing a downstream site in a newly formed channel to an upstream control. Since 2008 a total of 2338 macroinvertebrates have been sampled and identified to the lowest practical taxonomic level. Data were analyzed using Chi-Square goodness of fit tests, Simpson’s Index of diversity, and Sorensens' Quotient of Similarity. We found that macroinvertebrate communities in the new channel have recovered to a more natural condition and show increasing similarity to the upstream control site Hayes & Mahan 2
Use of RT-PCR in conjunction with a respiratory pathogen assay to concurrently determine the prevalence of bacteria and SARS-CoV-2 from the nasopharynx of outpatients

Introduction COVID-19 has emerged as a highly contagious and debilitating disease caused by the SARS-CoV-2 virus and has claimed the lives of over 7.7 million people worldwide. Bacterial co-infections are one of many co-morbidities that have been suggested to impact the outcome of COVID-19 in patients. The goals of this study are to elucidate the presence of bacteria in the nasopharynx of SARS-CoV-2 positive and negative patients and to describe demographic categories that may be associated with the detection of these organisms during one of the initial waves of the COVID-19 pandemic. Methods To this end, we investigated SARS-CoV-2 and bacterial co-detection from outpatient RT-PCR testing in Texas. Results The results indicate that Staphylococcus aureus, Streptococcus pneumoniae, Klebsiella pneumoniae, Moraxella catarrhalis, and Haemophilus influenzae were the most frequently detected bacteria in both SARS-CoV-2 positive and SARS-CoV-2 negative patients and that these bacteria were present in these two patient populations at similar proportions. We also detected Staphylococcus aureus in a significantly larger proportion of males relative to females and people under 65 years of age relative to those 65 and over. Finally, we observed that SARS-CoV-2 was more commonly detected in Hispanics compared to non-Hispanics; however, low disclosure rates make volunteer bias a concern when interpreting the effects of demographic variables. Discussion This study describes the bacteria present in the nasopharynx of SARS-CoV-2 positive and negative patients, highlights associations between patient demographics and SARS-CoV-2 as well as bacterial co-detection. In addition, this study highlights RT-PCR based molecular testing as a tool to detect bacteria simultaneously when SARS-CoV-2 tests are performed.
MS-FPN-Based Pavement Defect Identification Algorithm

False or missed detection may happen in the process of pavement defect detection due to cracks with different shapes and sizes and interference from complex pavement background. To solve this problem, we proposed a Cascade R-CNN detection method based on the MS-Feature Pyramid Network (MS-FPN). First, we introduced a deformable convolution module in the backbone network ResNet101, so that it can adaptively change depending on the pavement defect. Second, we utilized the MS-FPN for the cross-scale bi-directional fusion of feature maps output by the backbone network,in which the multi-branch hybrid dilated convolution (MCE) generates feature maps with multi-scale receptive fields while expanding the receptive field. The dual-channel attention fusion algorithm (ST-A) was used to improve the identification between the background and the object, so that more attention was paid to the location and features of the pavement defect object. The improved Cascade R-CNN can better adapt to the detection of various pavement defects. On the open-source dataset and self-built dataset, the detection precision has improved by 5.02% and 5% respectively compared to that of the original Cascade R-CNN.
Cell Line-Based Human Bladder Organoids with Bladder-like Self-Organization—A New Standardized Approach in Bladder Cancer Research

Three-dimensional tumor models have gained significant importance in bladder cancer (BCa) research. Organoids consisting of different cell types better mimic solid tumors in terms of 3D architecture, proliferation, cell–cell interaction and drug responses. We developed four organoids from human BCa cell lines with fibroblasts and smooth muscle cells of the bladder, aiming to find models for BCa research. The organoids were characterized in terms of cytokeratins, vimentin, α-actin and KI67 by immunoreactivity. Further, we studied ligand-dependent activation of the Wnt/β-catenin pathway and investigated the responses to anti-tumor therapies. The organoids mimicked the structure of an inverse bladder wall, with outside urothelial cells and a core of supportive cells. The cytokeratin staining patterns and proliferation rate were in conjunction with the origins of the BCa cells. RT-112 even showed stratification of the epithelium. Treatment with Wnt10B led to increased β-catenin (active) levels in high-grade organoids, but not in low-grade BCa cells. Doxorubicin treatment resulted in clearly reduced viability (10–30% vs. untreated). In contrast, the effectivity of radiotherapy depended on the proliferation status of BCa cells. In conclusion, cell-line-based organoids can form bladder-like structures and reproduce in vivo features such as urothelial differentiation and stratification. Thus, they can be useful tools for functional studies in BCa and anti-cancer drug development.
SECURING SOURCE-LOCATION FROM HOTSPOT- LOCATING ATTACK IN WSN

A wireless Sensor Network (WSN) consists of a huge amount of sensor nodes habitually deployed in spaces where monitoring the substances. Enemies can make use of the traffic information to find the monitoring substances. So, primarily describe a hotspot event that causes an obvious irregularity in the network traffic model due to the huge quantity of packets originating from a tiny area. Second, assuming the adversary can keep an eye on the network traffic in multiple areas rather than the whole network or single area. In this paper,
Harmonic Oscillation and Stabilization Strategy of Source-Current-Detected Shunt APF Considering Interaction With Nonlinear Load and Grid Impedance

The shunt active power filter (APF) can effectively compensate for the harmonics caused by nonlinear loads and improve the power quality. Compared with load current detection, the shunt APF with source current detection is considered to have better harmonic filtering performance. However, the harmonic oscillation caused by APF may occur when interacting with nonlinear loads and grid impedance but the dynamics of the nonlinear loads are generally ignored in the existing research works. Therefore, this article built the interaction model of APF, nonlinear loads, and grid impedance to investigate the reason and characteristics of the harmonic oscillation. It is found that the harmonics oscillation is prone to happen when the passive resonant frequency of grid impedance and nonlinear loads gets close to the harmonic frequency compensated by APF, besides, the frequency coupling effect caused by the nonlinear loads will lead to symmetric harmonics oscillation. Then a stabilization strategy based on the phase adjustment of vector resonant controller for harmonics detection is proposed. Without affecting the system dynamics, the proposed method can effectively cope with the harmonic oscillation. Finally, simulation and experiment validate the precision of the built models and effectiveness of the proposed method.