Miracle-dz/UniFAR-FTUs huggingface dataset:
Circulatory Endothelin 1-Regulating RNAs Panel: Promising Biomarkers for Non-Invasive NAFLD/NASH Diagnosis and Stratification: Clinical and Molecular Pilot Study

Nonalcoholic fatty liver disease (NAFLD) is one of the major seeds of liver cirrhosis and hepatocellular carcinoma. There is no convenient reliable non-invasive early diagnostic tool available for NAFLD/NASH diagnosis and stratification. Recently, the role of cytosolic sensor, stimulator of interferon genes (STING) signaling pathway in pathogenesis of nonalcoholic steatohepatitis (NASH) has been evidenced in research. We have selected EDN1/TNF/MAPK3/EP300/hsa-miR-6888-5p/lncRNA RABGAP1L-DT-206 RNA panel from bioinformatics microarrays databases related to STING pathway and NAFLD/NASH pathogenesis. We have used reverse-transcriptase real-time polymerase chain reaction to assess the expression of the serum RNAs panel in NAFLD/NASH without suspicion of advanced fibrosis, NAFLD/with NASH patients with suspicion of advanced fibrosis and controls. Additionally, we have assessed the diagnostic performance of the Ribonucleic acid (RNA) panel. We have detected upregulation of the EDN1 regulating RNAs panel expression in NAFLD/NASH cases compared to healthy controls. We concluded that this circulatory RNA panel could enable us to discriminate NAFLD/NASH cases from controls, and also NAFLD/NASH cases (F1, F2) from advanced fibrosis stages (F3, F4).
Temperature dependence of substrate currents of MOSFETs under different drain and gate biases

In this study, the problem of substrate currents of metal-oxide-semiconductor field-effect transistors exhibiting different temperature dependence at different gate and drain voltages is investigated. The unsolved so-called ‘transition point’ problem is found to be ascribable to the different sensitivities of thermal kinetic energy and phonon scattering effects to the variation of drain voltages. To include the influence of temperature and gate voltage, a new mathematical model for substrate current is proposed, which also reveals that modeling using the lucky electron approach cannot obtain satisfactory accuracy and that the transverse electrical field from gate bias is not a negligible factor. With the evidence from experiments, this article also points out that using the substrate current to monitor the severity of the hot-carrier effect is not reliable when the drain voltage is lower than the transition point.
EFFICIENCY OF TAG ANTENNA UNIT IN ANTICOLLISION RADIO FREQUENCY IDENTIFICATION SYSTEMS WITH INDUCTIVE COUPLING

The quality factor Q is the measure of tag antenna unit functioning efficiency in areas of energy transfer and communication conditions in anticollision radio frequency identification (RFID) systems with inductive coupling. The problem of homogeneous proper interrogation zone of RFID system, that is mutual overlay of zones that result from conditions of tag supply and the radio communication carried in the system, have been presented in this paper.
A 3D laser range finder for autonomous mobile robots

This paper presents a high quality, low cost 3D laser range finder designed for autonomous mobile systems. The 3D laser is built on the base of a 2D range finder by the extension with a standard servo. The servo is controlled by a computer running RT-Linux. The scan resolution ( 5 cm) for a complete 3D scan of an area of 150 (h) 90 (v) degree is up to 115000 points and can be grabbed in 12 seconds. Standard resolutions e.g. 150 (h) 90 (v) degree with 22500 points are grabbed in 4 seconds. While scanning, different online algorithms for line and surface detection are applied to the data. Object segmentation and detection are done offline after the scan. The implemented software modules detect overhanging objects blocking the path of the robot. With the proposed approach a cheap, precise, reliable and real-time capable 3D sensor for autonomous mobile robots is available and the robot navigation and recognition in real-time is improved.
A Profile of Cooperating Teachers and Centers in Oklahoma: Implications for the Student Teaching Experience in Agricultural Education

This inquiry is the first systematic study of cooperating teachers’ perceptions of the agricultural education student teaching experience in Oklahoma in more than three decades. The sampling frame (N = 64) included cooperating teachers representing 55 student teaching centers. A questionnaire was sent to cooperators via postal mail. The instrument included 13 items identifying selected characteristics of cooperating teachers and centers. In addition, teachers rated 34 elements of the student teaching experience using a Likert-type scale (“5” = “High Importance . . .“1” = “No Importance”); final return rate was 77%. Cronbach’s coefficient alpha reliability estimates for five core areas of the student teaching experience ranged from . 47 to . 87; the overall importance scale yielded an estimate of . 93. Respondents rated 33 of 34 elements as having “much importance” or greater (M > 4.00). The highest rated element was “a well rounded program emphasizing instruction, SAEs, and youth leadership activities” (M = 4.92; SD = .34). The core area “Cooperating Teacher-Student Teacher Relationships” accounted for seven of the ten highest rated elements. Recommendations and implications point to the need for greater diversity in cooperating teachers and centers, for instrument redesign as related to the construct of instruction, and for the provision of targeted professional development opportunities for cooperating teachers.
CTIM-20. FINAL RESULTS OF CONTROLLED IL-12 MONOTHERAPY AND IN COMBINATION WITH PD-1 INHIBITOR IN ADULT SUBJECTS WITH RECURRENT GLIOBLASTOMA

Ad-RTS-hIL-12(Ad) is a gene therapy candidate conditionally expressing IL-12 under the transcriptional control of veledimex(V) acting via the RheoSwitch Therapeutic System® gene switch. Veledimex plasma and tumor PK demonstrated a dose-response relationship and crossing the BBB. PD-1+ T-cells were increased in tumor biopsy samples after treatment with Controlled-IL-12 in a phase-l study. This finding was the rationale for conducting 2 trials of Controlled-IL-12 in combination with PD-1-inhibitor to enhance T-cell-mediated anti-tumor effects. Data from two completed phase-I studies (presented in SNO2020), and an ongoing phase-II study of Controlled-IL-12 with cemiplimab study for the treatment of recurrent glioblastoma (rGBM) will be discussed. Ziopharm has conducted 3 phase-I (NCT02026271/NCT03679754 (monotherapy), NCT03636477 (combination with nivolumab)) and one phase-ll (NCT04006119) multicenter, open-label, single-arm trial in subjects with rGBM is evaluating Ad (single intratumoral injection, 2 x 1011-viral-particles, Day0) with oral V dosing (20mg, Days 0-14) with cemiplimab infusions (350 mg IV) on Days -7, 15, then Q3W. Systemic biomarkers (serum cytokines, and immune-activation-markers), local effects (tumor cytokines, T-cell immunobiology, pathology), neoepitope, and imaging will be assessed. Subject characteristics (Controlled IL-12 monotherapy (n=75); combination (Controlled IL-12 with anti-PD-1s) (n=61) were consistent across all 3 studies. Safety profiles were comparable between monotherapy and in combination with anti-PD-1s. Adverse reactions (ARs) after nivolumab or cemiplimab were consistent with labeling of anti-PD-1s. ARs related to Controlled IL-12 were all manageable and reversible with no synergistic toxicities in combination with anti-PD-1s. Increases in serum cytokine levels and pathology findings consistent with immune-mediated anti-tumor effect were observed in subjects who received Controlled-IL-12 monotherapy and in combination with anti-PD-1s. Final survival data and results from neoepitope analysis will be presented. Further investigation is warranted to understand the impact of monotherapy vs. combination, concurrent steroids use and unifocal vs. multifocal disease on overall survival in subjects with rGBM receiving Controlled-IL-12.
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

Electroencephalography (EEG) is a non-invasive technique used to record the brain’s evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, are increasingly being applied to EEG data for pattern analysis, group membership classification, and brain-computer interface purposes. This study aimed to systematically review recent advances in ML and DL supervised models for decoding and classifying EEG signals. Moreover, this article provides a comprehensive review of the state-of-the-art techniques used for EEG signal preprocessing and feature extraction. To this end, several academic databases were searched to explore relevant studies from the year 2000 to the present. Our results showed that the application of ML and DL in both mental workload and motor imagery tasks has received substantial attention in recent years. A total of 75% of DL studies applied convolutional neural networks with various learning algorithms, and 36% of ML studies achieved competitive accuracy by using a support vector machine algorithm. Wavelet transform was found to be the most common feature extraction method used for all types of tasks. We further examined the specific feature extraction methods and end classifier recommendations discovered in this systematic review.
Trade‐off between flight capability and reproduction in Acridoidea (Insecta: Orthoptera)

Abstract In many insect taxa, there is a well‐established trade‐off between flight capability and reproduction. The wing types of Acridoidea exhibit extremely variability from full length to complete loss in many groups, thus, provide a good model for studying the trade‐off between flight and reproduction. In this study, we completed the sampling of 63 Acridoidea species, measured the body length, wing length, body weight, flight muscle weight, testis and ovary weight, and the relative wing length (RWL), relative flight muscle weight (RFW), and gonadosomatic index (GSI) of different species were statistically analyzed. The results showed that there were significant differences in RWL, RFW, and GSI among Acridoidea species with different wing types. RFW of long‐winged species was significantly higher than that of short‐winged and wingless species (p < .01), while GSI of wingless species was higher than that of long‐winged and short‐winged species. The RWL and RFW had a strong positive correlation in species with different wing types (correlation coefficient r = .8344 for male and .7269 for female, and p < .05), while RFW was strong negatively correlated with GSI (r = −.2649 for male and −.5024 for female, and p < .05). For Acridoidea species with wing dimorphism, males with relatively long wings had higher RFW than that of females with relatively short wings, while females had higher GSI. Phylogenetic comparative analysis showed that RWL, RFW, and GSI all had phylogenetic signals and phylogenetic dependence. These results revealed that long‐winged individuals are flight capable at the expense of reproduction, while short‐winged and wingless individuals cannot fly, but has greater reproductive output. The results support the trade‐off between flight and reproduction in Acridoidea.
Coping, Anxiety, and Pain Intensity in Patients Requiring Thoracic Surgery

Stress, anxiety, and post-surgical chest pain are common problems among patients with thoracic surgical pathology. The way in which psychological distress is managed—the coping style—can influence the postsurgical evolution and quality of life of patients. In our study, we monitored the influence of coping style on patients’ anxiety and the intensity of post-operative chest pain. We conducted a cross-sectional study on 90 subjects with thoracic surgical pathology. One month after their surgeries, patients completed the following scales and questionnaires, translated, adapted, and validated for the Romanian population: COPE scale inventory, Generalized Anxiety Disorder-7 Questionnaire, McGill Pain Questionnaire, and Numeric Pain Rating Scale. Anxiety (evaluated using the Generalized Anxiety Disorder-7 Questionnaire) and postoperative thoracic pain intensity (evaluated by means of the Numeric Pain Rating Scale, Number of Words Chosen, and McGill Pain Questionnaire) were significantly higher in patients exhibiting social-focused coping than in patients presenting emotion-focused or problem-focused coping as their main coping style (Kruskal–Wallis, p = 0.028, p = 0.022, p = 0.042, p = 0.007). In our study, there were no differences observed in pain intensity relative to level of anxiety. Coping style is an important concept in the management of anxiety and pain experienced by patients undergoing chest surgery. Therefore, a multidisciplinary approach should be considered in clinical practice.
Factors Affecting Public Acceptance of Wind Turbines in Sweden

Wind power is growing in Sweden, but the high-level of opposition to turbine proposals has meant that many proposals are never realised. This opposition in a country that has a measured 74% support for wind power leads to questions being raised as to what is causing this opposition. Many have suggested that it is due to prevalent NIMBY attitudes; this, however, is only one factor affecting the public acceptance of turbines. The over-riding factor is the spatial distance between the costs incurred and the benefits derived from wind power. Perceived need for wind power, level of participation, individual considerations of visual impact and the amount to which the local community benefits determine the realisation of turbine proposals.
The Modular Parallel Mechanism of Single-Driven Multi-Legged Robots

This paper designs a modular parallel mechanism for single-driven multi-legged robots. The mechanism achieves the goal to coordinate the lifting and swinging of all the legs with only one actuator and has good motion characteristics. The mechanism is not only easy to control, but also capable to optimize the trajectory of the robot legs by changing the structure size of the mechanism. This paper implements the trajectory simulation and dynamic simulation of the key points of the mechanism on the basis of the kinematics model, and the results show that the mechanism has a good trajectory and motion characteristics. The modular parallel mechanism is also applicable to those multi-legged robots such as quadruped robots and eight-legged robots, indicating that it has a good scalability.
Analysis of Dynamic in Situ Backfill Property Tests. Report 2. An Improved Lagrangian Analysis for Stress and Particle Velocity Gage Arrays.

Abstract : An improved Lagrangian analysis method has been developed for analyzing stress records from gages embedded in soil during an explosive test. To employ this method, a series of stress (or particle velocity) histories are measured during the passage of a one-dimensional stress wave through a material. From the measured histories numerical approximations to the space and time derivatives of stress del sigma/del h and del sigma/del t are obtained (h is Lagrangian location). These values of the derivatives are used in the equations of conservation of momentum and mass to compute the particle velocity and strain at the gage locations. Thus stress-strain paths can be obtained in the material through which the stress wave has passed. The major improvement in the present analysis is the construction of a stress-time-distance surface from the stress histories. The surface is fitted in a least-squares sense to the set of histories. Then the space and time derivatives are obtained from the surface. Smoothness criteria are imposed on the surface to minimize the importance of oscillations in the data. The Lagrangian analysis is incorporated into a computer program called GUINSY. The surface fitting procedure and the integration of the equations of conservation are separated in the program to facilitate use of the fitting procedure with other types of data. This report includes derivations of the fitting, differentiation and integration procedures, the computer program, and sample problems.
Real-time dynamic simulation of continuous bulk material flow to improve the statistical modelling of final product strength properties

In regression analyses, correlations between independent variables (e.g. process variables) and dependent variables (e.g. product quality) are of major interest. However, only statistically significant correlations ensure a reliable interpretation of how process variables affect product qualities. In this respect, accurate time alignment of independent variables is crucial to obtain regression models with acceptable validation that are influenced by temporal phenomena (e.g. industrial processes) only. In this study, the commonly used static form of time alignment, where only the distances between consecutive process parameters and the average production speed are considered, is compared to a newly developed dynamic calculation of time lags. The dynamic calculation of time lags was achieved by modelling the continuous bulk material flow. The two different methods of calculation were then applied on an industrial production of particleboards to predict final board strength properties. Results of regression models showed that the use of dynamically calculated time lags improved the predictability of the internal bond strength of boards by 67% compared to statically calculated time lags. Consequently, final product strength properties could be predicted more accurately, which should lead to lower costs of rejects and a higher efficiency of material inputs.
Does the cowl make the monk? The effect of military and Red Cross uniforms on empathy for pain, sense of agency and moral behaviors

According to the embodied cognition framework, cognitive functions are not confined to the brain but are also shaped by the mutual interactions between the brain, body, and external environment. In this regard, a theory developed in 2012, called enclothed cognition, suggests an effect on wearing specific clothing on various psychological processes. However, the neuro-cognitive mechanisms underlying the impact of clothing on behavior have received less systematic investigation. The present study examined the influence of clothing on prosocial behaviors, and focused on sense of agency, and empathy for pain as neuro-cognitive processes of interest. Participants (40 in total) wore civilian, military, and Red Cross uniforms. They were paired up and assigned as either agents or victims. Agents had the option to administer real electric shocks to victims for a monetary reward of +€0.05. They could choose to shock freely (free condition) or follow the experimenter’s instructions (coerced condition). We measured prosocial behavior by counting the number of shocks prevented, neural empathic response using electroencephalography with the P3 and the LPP, and sense of agency through an implicit method based on interval estimates. Findings showed that wearing the Red Cross uniform led to more prosocial behavior compared to civilian clothing. The Red Cross uniform also increased neural response to pain when participants witnessed shocks, compared to civilian or military clothing. Moreover, wearing a military uniform increased the sense of agency in the free condition, as compared to civilian clothing. This study broadens our knowledge on the impact of enclothed cognition on cognitive and psychological processes.
The Study on Waveform Sets Transmission for Multistatic Radar

This study is concerned with finding waveforms which are easily separated, thereby facilitating multistatic radar. However this study considers the use of multiple waveforms at each transmitter. Each waveform is transmitted in a separate independent channel; however each transmitter uses the same set of channels. These channels might be orthogonal frequencies, time delays, or polarisation. In this study we exploit the fact that complementary codes occur in mutually–orthogonal sets. These codes are used to create several waveform sets, each of which is assigned to a different transmitter, and the component waveforms then transmitted in different channels.
ABC ALGORITHM BASED SCHEDULING AND CONTROL OF RENEWABLE HYBRID POWER SYSTEM

Artificial bee colony algorithm has applied here for solving the problem of unit sizing and control of renewable hybrid power system. Among alternate energy resource Wind and Solar have attained the main focus over the time but these two would not be enough for showing irregular power generation behavior. Hybrid power system which comprises of different non-conventional power system like micro hydro plant, solar panel, wind turbine and battery is introduced. Initially the combination of Hydro-Solar-Wind-Battery Bank hybrid system has analyzed for maximum load profile. Later on, its performance has compared with other hybrid systems combining Hydro-Wind-Battery Bank. After considering the maximum load for obtaining the sizing and scheduling, these two systems have again analyzed for different load conditions with ABC Algorithm. It is further demonstrated that results obtained from ABS are better than PSO. Analysis of power generation has done on the basis of Energy Cost and Net Present Cost and ended with overall scheduling and cost comparison on hourly basis.
The Prevalence of HER2 Positivity In HER2 Borderline Tumors In Iranian Breast Cancer Patients And Predictive Variables

Background: Human epidermal growth receptor-2 (HER2) gene amplification is an important predictive and prognostic factor in breast cancer treatment. However, the expression of HER2 by immunohistochemistry (IHC) is determined as borderline in some cases and confirmation of the HER2 status by in situ hybridization either fluorescent (FISH) or bright field chromogenic (CISH) is necessary for correct treatment decision-making. Considering the high cost of FISH and CISH, we aimed to investigate whether the HER2 status could be predicted by other histological and cellular characteristics of the tumor by evaluating the association of these characteristics with the actual tumor HER2 status. Methods: Data of 438 breast cancer patients with IHC-determined HER-2 borderline disease was evaluated retrospectively. FISH or CISH results, pathologic tumor size and type, node involvement, Ki67%, presence of estrogen and progesterone receptor (ER, PR), HER2 status, lymphovascular invasion (LVI), perineural invasion (PNI), and stage were retrieved from clinic records. Results: Seventy-four (16.9%) patients had positive results for HER2 status with FISH or CISH. Logistic regression analysis showed that the pathologic size had a positive association with HER2 positivity with an OR equal to 1.03 (Odds ratio (OR):1.03, 95% CI: 1.01-1.05). In addition, the adjusted OR illustrated a statistically significant association between HER2 positivity and PR negativity (OR=2.14, 95% CI: 1.14-4.02). The invasive lobular carcinoma histology had a reverse association with HER2 positive status, with a borderline significance level (OR=0.15, 95% CI: 0.02-1.18). Conclusion: We could not find an applicable model to predict the actual status of HER2 in borderline cases and still, we have to recommend further assay by FISH or CISH in these patients.