Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of the self-regulation of middle school students in Russia during the period of distance learning

Distance learning can be considered as “self-regulated learning” as it involves students managing their own time, planning their own activities, and taking an active part in interactive communication with classmates and the teacher. The purpose of the study is to identify problems in middle school students’ self-regulation of learning activities during the period of distance learning. Based on a comparative analysis of international research, the study identifies the structural components of self-regulation in distance learning including self-organization, goal setting, planning, prediction, self-control, self-assessment, and reflection. The most significant structural component is students’ self-organization, which implies making a daily schedule, recording the tasks performed, controlling one’s actions in accordance with the daily schedule, as well as independently allocating time for homework. The study is based on a survey of 196 middle school students in the Republic of Komi, Russia. The results of the survey allow identifying the most vulnerable areas of students’ self-regulatory activity in the process of planning, organizing, and controlling their time and individual learning activities in a distance learning environment. The practical significance of the study lies in the possibility of using the data obtained to improve the process of distance learning. The materials of the study may be of use to managers, methodologists, and teachers in secondary education in developing methodological recommendations for students regarding the development of self-regulatory skills of middle school students.
A Cosimulation T-T Procedure Gluing Subsystems in Multibody Dynamics Simulations

In the case of models with numerous and eventually multidisciplinary components, cosimulation technique can be employed to link independently developed submodels. A T-T gluing algorithm is presented and validated for rigid multi-body systems. The coupling of the different submodels, resulting from exploding the all-in-one model at its mechanical joints, consists in imposing holonomic constraints for each joint separating two submodels. At each simulation step, kinematic quantities are computed and sent from the submodels to the central part of the algorithm. There a global Newton-Raphson iterative procedure permits, by means of a so-called gluing matrix, to upgrade the interface efforts which are then returned to the submodels. Two concrete examples are “cosimulated” with minimal coordinates and by considering the constraints at velocity level. The illustrated results and errors demonstrate the accuracy of the method. The algorithm can be generalized for the other kinematic approaches and for finite element and computational fluid dynamics codes.Copyright © 2009 by ASME
HIGH DYNAMIC-RANGE HIGH SPEED LINAC CURRENT MEASUREMENTS *

It is desired to measure the linac current of a charged particle beam with a consistent accuracy over a dynamic range of over 120 dB. Conventional current transformers suffer from droop, can be susceptible to electromagnetic interference (EMI), and can be bandwidth limited. A novel detector and electronics were designed to maximize dynamic range of about 120 dB and measure rise-times on the order of 10 nanoseconds.
A Management Approach of the Construction Accidents Based on Assessing the Job Stress of Korean and Foreign Construction Laborers

Each year, it seems inevitable that major accidents will occur on construction sites. Industrial accidents, sometimes involving foreign laborers, have been constantly increasing. Construction laborers have higher hazard rates and higher work intensity than other industries, which means that they experience more job stress, as a result of the subcontracting structure. Therefore, this study performed an influence factor analysis on job stress and its relevance to industrial accidents involving Korean and foreign construction laborers, and proposed its effectiveness with the job stress and construction accident management measures based on the results of those. A questionnaire to measure job stress was performed targeting Korean and foreign laborers, and the results were analyzed. The results of this study can be utilized as important reference materials in efforts to reduce the job stress of foreign laborers on construction sites, and can be expected to contribute to preventing construction accidents related to job stress in the future.
Coordinated Effect of Ascorbate Biosynthesis and Recycling in Maize Seed Germination and Seedling Establishment under Low Temperature

The impacts of low temperature occasionally encountered at higher latitude regions on maize seed germination present significant threats to yield and cultivation. Exploring the association of antioxidant system with low temperature (LT) germination could support the breeding strategies for better responding to LT disturbance. In this study, we have examined the germination rate and growth potential of a set of elite maize inbred accessions under LT and normal temperature (NT) conditions in the field. These accessions were found to have variable germination rate and growth potential when grown at LT, whereas the difference is not significant under NT. Physiological study revealed lower hydrogen peroxide content in LT tolerant accessions when compared with sensitive ones. LT-tolerant and LT-sensitive lines maintained similar content of ascorbate (AsA) and glutathione (GSH), whereas the reduced substrate content of which were significantly higher in LT-tolerant accessions. Consistently, activities of ascorbate peroxidase and dehydroascorbate reductase, the enzyme components that responsible for the AsA-GSH recycling, were much higher in LT-tolerant lines. Transcription profile revealed the increased expression of ZmVTC2 gene in LT-tolerant inbred line, which was rate limited step in AsA biosynthesis. These data indicates that the coordinated improvement of AsA biosynthesis and AsA-GSH recycling increase the pool size of the total antioxidants, which ameliorate LT-induced oxidative stress during maize seed germination.
Impact of forage diversity on forage productivity, nutritive value, beef cattle performance, and enteric methane emissions

Abstract Greenhouse gas emissions from the beef industry are largely attributed to the grazing sector, specifically from beef cattle enteric methane emissions. Therefore, the study objective was to examine how forage diversity impacts forage productivity, nutritive value, animal performance, and enteric methane emissions. This study occurred over three consecutive grazing seasons (2018 to 2020) and compared two common Midwest grazing mixtures: 1) a simple, 50:50 alfalfa:orchardgrass mixture (SIMP) and 2) a botanically diverse, cool-season species mixture (COMP). Fifty-six steers and heifers were adapted to an Automated Head Chamber System (AHCS) each year (C-Lock Inc., Rapid City, SD) and stratified into treatment groups based on acclimation visitation. Each treatment consisted of four pastures, three 3.2-ha and one 1.6-ha, with eight and four animals each, respectively. Forage production was measured biweekly in pre- and postgrazed paddocks, and forage nutritive value was analyzed using near-infrared reflectance spectroscopy. Shrunk body weights were taken monthly to determine animal performance. Forage availability did not differ between treatments (P = 0.69) but tended lower in 2018 (P = 0.06; 2.40 t dry matter ha−1) than 2019 (2.92 t dry matter ha−1) and 2020 (P = 0.10; 2.81 t dry matter ha−1). Crude protein was significantly lower for COMP in 2018 compared with SIMP. Forage acid detergent fiber content was significantly lower for the COMP mixture (P = 0.02). The COMP treatment resulted higher dry matter digestibility (IVDMD48) in 2018 and 2019 compared with the SIMP treatment (P < 0.01). Animal performance did not differ between treatments (P > 0.50). There was a tendency for the COMP treatment to have lower enteric CH4 production on a g d−1 basis (P = 0.06), but no difference was observed on an emission intensity basis (g CH4 kg−1 gain; P = 0.56). These results would indicate that adoption of the complex forage mixture would not result in improved forage productivity, animal performance, or reduced emission intensity compared with the simple forage mixture.
Ndufa6 regulates adipogenic differentiation via Scd1

ABSTRACT Obesity and associated complications are becoming a pandemic. Inhibiting adipogenesis is an important intervention for the treatment of obesity. Despite intensive investigations, numerous mechanistic aspects of adipogenesis remain unclear, and many potential therapeutic targets have yet to be discovered. Transcriptomics and lipidomics approaches were used to explore the functional genes regulating adipogenic differentiation and the potential mechanism in OP9 cells and adipose-derived stem cells. In this study, we found that NADH:ubiquinone oxidoreductase subunit A6 (Ndufa6) participates in the regulation of adipogenic differentiation. Furthermore, we show that the effect of Ndufa6 is mediated through stearoyl-CoA desaturase 1 (Scd1) and demonstrate the inhibitory effect of a SCD1 inhibitor on adipogenesis. Our study broadens the understanding of adipogenic differentiation and offers NDUFA6-SCD1 as a potential therapeutic target for the treatment of obesity.
Elman neural network-based nonlinear state estimation for induction motors

This study presents a recurrent neural network (RNN)-based nonlinear state estimator that uses an Elman neural network structure (ENN) for state estimation of a squirrel-cage induction motor. The proposed algorithm only uses the measurements of the stator currents and the rotor angular speed, and it learns the dynamic behavior of the state observer from these measurements through prediction error minimization. A squirrel-cage induction motor was fed from sinusoidal, 6-step, and pulse-width modulation (PWM) supply sources at different times in order to observe the performance of the proposed estimator for different operation conditions. Estimation results showed that the proposed algorithm is capable of estimating the states of an induction motor and performs better than extended Kalman filtering (EKF) in terms of accuracy and convergence speed.
Optimal preview control: A review

The field of preview control has attracted many researchers for its applications in guidance of autonomous vehicles, robotics, and process control, as this field is well suited for use in design of systems that have reference signals known a priori. The paper presents the efforts of various researchers in the field of preview control. The literature available in this field, since 1966, is categorized based on formulation, method domain, solution approach, and objective. The preview control problem is formulated and solved using classical time‐domain optimal control design tools for under water vehicle model. The key observation obtained from the discussions shows the enormous scope of work available in the field of preview control. Copyright © 2014 John Wiley & Sons, Ltd.
Automatic Identification of Operational Problems in a Chemical Process

This paper proposes a methodology to monitor and identify operation problems by using an extended version of Compendium (Compendium Inst., 2009), a knowledge map tool. Our approach uses a modified version of Compendium that was developed to aid the decision making process. Efficiency and productivity rates are inputted to “options versus criteria matrices” incorporated into Compendium to identify problems and suggest recommendations to improve the process. The design of a Heat transformer was used as a case study
Designing of a Multi-epitope Vaccine against the Structural Proteins of Marburg Virus Exploiting the Immunoinformatics Approach

Marburg virus disease (MVD) caused by the Marburg virus (MARV) generally appears with flu-like symptoms and leads to severe hemorrhagic fever. It spreads via direct contact with infected individuals or animals. Despite being considered to be less threatening in terms of appearances and the number of infected patients, the high fatality rate of this pathogenic virus is a major concern. Until now, no vaccine has been developed to combat this deadly virus. Therefore, vaccination for this virus is necessary to reduce its mortality. Our current investigation focuses on the design and formulation of a multi-epitope vaccine based on the structural proteins of MARV employing immunoinformatics approaches. The screening of potential T-cell and B-cell epitopes from the seven structural proteins of MARV was carried out through specific selection parameters. Afterward, we compiled the shortlisted epitopes by attaching them to an appropriate adjuvant and linkers. Population coverage analysis, conservancy analysis, and MHC cluster analysis of the shortlisted epitopes were satisfactory. Importantly, physicochemical characteristics, human homology assessment, and structure validation of the vaccine construct delineated convenient outcomes. We implemented disulfide bond engineering to stabilize the tertiary or quaternary interactions. Furthermore, stability and physical movements of the vaccine protein were explored using normal-mode analysis. The immune simulation study of the vaccine complexes also exhibited significant results. Additionally, the protein–protein docking and molecular dynamics simulation of the final construct exhibited a higher affinity toward toll-like receptor-4 (TLR4). From simulation trajectories, multiple descriptors, namely, root mean square deviations (rmsd), radius of gyration (Rg), root mean square fluctuations (RMSF), solvent-accessible surface area (SASA), and hydrogen bonds, have been taken into account to demonstrate the inflexible and rigid nature of receptor molecules and the constructed vaccine. Inclusively, our findings suggested the vaccine constructs’ ability to regulate promising immune responses against MARV pathogenesis.
Highway network restoration after disasters

In the second half of 2011, Thailand has recently faced with the most devastating flood of her modern history. More than 3,330 national highways are damaged by this flood. Some roads are heavily destroyed while others are partially damaged and emergency relieves cannot access to the flooded areas. Highway restoration is an urgent responsibility of road authorities. This study presents the sequential highway network restoration decision model where highways are restored one by one in sequence. To determine an optimal restoration sequence, the model is formulated as a dynamic program where the primary objective is to sequentially restore roadways to minimize the travel demand loss for the disconnected network. Once the network is connected, the secondary objective is to sequentially restore roadways to minimize the network travel time where traffic assignment onto the network is based on User Equilibrium concept. A sample network is examined to investigate the solution characteristics. It is found that the proposed algorithm can provide good practical solutions to the sequential highway network recovery problems.
Deep Drawing Analysis of Aluminum Material for Process of Manufacturing Battery Case for Vehicle

This paper presents the technology for manufacturing large and deep battery case for use in electric cars and hybrid vehicles. This product is manufactured from aluminum using the multi-stage deep drawing method. In this study, plastic stress and strain that occur during manufacturing were numerically analyzed, and the results were used to estimate punch force and product strain. To this end, after designing the processes for each step, the plastic analysis program called Deform was used to calculate punch force, stress, strain, and strain flow. The analysis results were assessed and compared with the experimental results for a prototype manufactured using the first process. On the basis of analysis results, the product could be manufactured by using the five-step process proposed in this paper and the analysis results were consistent with the experimental results.
Implementation of a computer-assisted face-to-face intervention for mapping the social support networks of patients with severe mental illness in routine clinical practice: Analysis of the appropriateness and acceptability of the intervention

Background: Social support is a key dimension of personal recovery for patients with severe mental disorders. Although clinicians and health professionals should monitor the social support resources of patients in order to provide effective treatment, no specific tool or intervention exist for that purpose. Egonet is a computer-assisted intervention for health and social services that enables the mapping, assessment and fostering of patients’ social support networks. Aims: This paper describes the intervention and evaluates the appropriateness and acceptability of its implementation in a clinical setting. Method: We described the computer-assisted intervention. We used a questionnaire to assess how appropriate and acceptable clinicians found a preliminary version to be. We also collected patients’ level of satisfaction with their social support networks before and after the intervention and carried out qualitative interviews. Results: Egonet is made up of four components: (1) a computer-assisted interview for mapping social networks, (2) a remote data server, (3) a data-mining module and (4) a customisable reporting tool. Egonet was implemented for 232 patients by 91 clinicians from five services. The intervention was perceived by clinicians as appropriate and useful for clinical practice, although it was noted that considerable effort was required to obtain its benefits. Patients were slightly more satisfied with their social support after the intervention than before, and expressed the opinion that more attention should be paid to the social support network. Conclusions: EGONET is appropriate and acceptable for use in work related to the social support networks of patients with psychiatric disorders.
The Need for Two Factor Authentication in Social Media

Social networks are unequivocally the most used application for communication and information sharing in the 21st century. As growth of this technology increases, there is a need to implement a more secure authentication mechanism to protect users as well as the platform providers from various social engineering attacks. A recent study from LinkedIn and Twitter hacks shows that weak passwords and single factor authentication are still prevalent shortcomings facing most social networking sites. This end-user security lapse often paves way for phishing and malware attacks and undermines the overall integrity of the system. In this study, we review the rise of social networks and the underlying concepts of two factor authentication. Furthermore, we propose a novel, feasible, cost effective and secure technique of applying an email based password tokenization as a second factor authentication in social networking sites.
Transcatheter arterial embolization of malignant pelvic solitary fibrous tumor: case report and literature review

Pelvic malignant solitary fibrous tumor (SFT) is a relatively rare disease, and literature on radical resection with transcatheter arterial embolization of pelvic SFT is lacking. In this work, we report on a 55-year-old man with a presacral mass who was hospitalized at our department. Computed tomography and magnetic resonance imaging indicated pelvic space-occupying lesions that were 12 cm × 10 cm in size and pelvic lesions that were not clearly demarcated from the right posterior wall of the bladder and the right ureter. This result suggested severe secondary hydronephrosis of the right renal pelvis. The patient underwent transcatheter iliac arterial embolization. Radical tumor resection was performed, and the results of pathological examination confirmed the diagnosis of malignant pelvic SFT. There was no SFT recurrence in this patient at 1-year follow-up. Herein, we report on the treatment of a patient with malignant pelvic SFT, a rare condition, who underwent successful radical resection after transcatheter arterial embolization. Transcatheter arterial embolization can block the blood supply of the SFT as much as possible and improve the possibility of tumor resection. In the future, pelvic SFTs can be considered improving the resection rate by transcatheter arterial embolization before surgery.
A Novel Stepped-Patch Loaded CPW and Its Application to a Low-Pass Filter

A novel stepped-patch loaded coplanar waveguide(SPLCPW) structure is proposed and applied to the design of a low-pass filter(LPF). The stepped-patch loaded on the opposite side of the CPW plane is shown to provide a shunt-connected series L-C resonance, which is dual to that of a conventional CPW defected ground structure(DGS). As a simple example of the proposed SPLCPW circuit, a 3-pole SPLCPW LPF is designed and good results are obtained.
Expression of the F0F1 ATP synthase inhibitor AtpΘ depends on small basic DNA-binding proteins and differential mRNA stability

F0F1 ATP synthases produce ATP, the universal biological energy source. ATP synthase complexes on cyanobacterial thylakoid membranes use proton gradients generated either by photosynthesis or respiration. AtpΘ is an ATP synthase regulator in cyanobacteria encoded by atpT. AtpΘ inhibits the hydrolysis of ATP (reverse reaction) that otherwise would occur under unfavorable conditions. In the cyanobacterium Synechocystis sp. PCC 6803, AtpΘ is expressed at very low levels under optimum phototrophic growth conditions or in the presence of glucose, but its expression is substantially increased 10 min after transfer into darkness. DNA coimmunoprecipitation experiments followed by mass spectrometry identified the binding of the two transcriptional regulators cyAbrB1 and cyAbrB2 to the promoter and the histone-like protein HU to the 5’UTR of atpT. GFP reporter assays revealed a detectable but small effect on transcriptional regulation. However, atpT transcript stabilities differed dramatically, half-lives were 1.6 min in the light, 33 min in the dark and substantial changes were observed if glucose or DCMU were added. Basic transcriptional control of atpT involves nucleoid-associated DNA-binding proteins, while the major effect on the condition-dependent regulation of atpT expression is mediated by controlling mRNA stability, which is related to the cellular redox and energy status.
Planar symmetries in 3-D filter responses and their application in 3-D filter design

Symmetry definitions are extended to 3-D frequency responses, and single planar, double planar, and triple planar symmetries are defined. Necessary and sufficient conditions on 3-D s- and z-domain functions to possess various 3-D symmetries in magnitude responses are derived. The application of symmetry results in the design of 3-D filters is discussed. >