Miracle-dz/UniFAR-FTUs huggingface dataset:
Dosimetric characteristics of 6 MV photons from TrueBeam STx medical linear accelerator: simulation and experimental data

A TrueBeam STx is one of the most technologically advanced linear accelerators forradiotherapy and radiosurgery. The Monte Carlo simulation widely used in many applications in various fields such as nuclear physics, astrophysics, particle physics, and medicine. The Geant4/GATE Monte Carlo toolkit is developed for the simulation in imaging diagnostics, nuclear medicine, radiotherapy, and radiation biology to more accurately predict beam radiation dosimetry. In this work, we present the simulation results of the dosimetric characteristics of a 6 MV photon beam of TrueBeam STx medical LINAC using Monte Carlo Geant4/GATE. The percentage depth dose (PDD), central axis depth dose (Profile) have been simulated and compared with those measured in a water phantom for field sizes 10×10 cm2 via the gamma-index method. These results will permit to check calculation data given by the treatment planning system.
COPD_A_321197 2533..2544

Pneumology Department, “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania; Pneumology Department, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania; Faculty of Medicine, “Ovidius” University of Constanta, Constanta, Romania; AstraZeneca Romania, Bucharest, Romania; Medical Department, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania Objective: This study assessed the characteristics and the relationship between symptoms in any part of the 24-hour (24-h) day, physical activity level (PAL), and other clinical and functional outcomes in stable COPD patients. Patients and Methods: Out of the 2162 patients enrolled in the SPACE study (The Symptoms and Physical Activity in COPD patients in Europe, clinicaltrials.gov NCT03031769), 406 (18.8%) were recruited from Romania. Here, we present the Romanian cohort results. Eligible patients were adults with age at least 40 years, confirmed diagnosis of stable COPD, current or former smokers with a smoking history of minimum 10 pack-years. The 24-h respiratory symptoms were assessed using Early Morning Symptoms of COPD Instrument (EMSCI), Evaluating Respiratory Symptoms in COPD (E-RSTM: COPD) and Nighttime Symptoms of COPD Instrument (NiSCI). During clinical interview, patients self-evaluated PAL through Exercise as Vital Sign (EVS) and Yale Physical Activity Survey (YPAS). Physicians assessed PAL through their clinical judgment. Results: For each combination of 2 between the early morning (EM), daytime (DT) and night-time (NT) symptoms of the 24-h day, there was a significant association (p < 0.001 for each). All symptoms significantly correlated with exacerbation history (p < 0.001 for EM and NT, p=0.002 for DT), and number of severe exacerbations (p < 0.001 for DT, p=0.001 for EM and p=0.026 for NT, respectively). The 24-h symptoms correlated negatively and significantly with PAL (p < 0.001), irrespective of the assessment used. Self-reported PAL negatively correlated with dyspnea, symptom burden, severity of disease and number of exacerbations (p < 0.001). Patients spent an average (standard deviation) of 25.8 (21.0) hours/week performing physical activity. Physicians overestimated their patients’ daily PAL. Conclusion: A negative and significant correlation between the 24-h day symptoms and PAL was identified in stable COPD patients. Physicians need to routinely assess PAL using adequate tools and start educating inactive COPD patients to optimize their disease outcomes.
Training Perception and Work Engagement: The Mediating Role of Organisational-Based Self-Esteem and Self-Efficacy

This article aims to investigate the impact of training perception on work engagement. In addition, self-efficacy and organisational based self-esteem are hypothesised as mediators of the above relationship. Data were collected from employees in Vietnam using a selfadministered questionnaire survey. Path analyses with Structural Equation Modelling (SEM) were used to verify the proposed relationships. The results show that both perceived training benefits and transfer of training significantly and positively influence work engagement. In addition, organisational based self-esteem partially mediates the impact of perceived training benefit on work engagement. Self-efficacy mediates a portion of the effects of the transfer of training on work engagement. The results add to the existing literature on the determinants of work engagement and on the consequences of the transfer of training. The findings also provide insight into the conditions for effective training in organisations. Implications for Central European audience: Developing an engaged workforce is a vital task to all organisations. However, data showed that the work engagement level in Europe is low, especially in Central Europe. The results of the study provide insight into the determinants of employee engagement at work. In addition, like Vietnam, most countries in Central Europe have been in transition from former central-command systems to market economies. The application of contemporary Western human resource practices needs special consideration to ensure its effectiveness. The current study may supply some empirical implications for both academics and practitioners.
Research on the Noise Reduction Method of the Vibration Signal of the Hydrogenerator Unit Based on ITD-PE-SVD

Aiming at the problem that the vibration signals of the hydrogenerator unit are nonlinear and nonstationary and it is difficult to extract the signal features due to strong background noise and complex electromagnetic interference, this paper proposes a dual noise reduction method based on intrinsic time-scale decomposition (ITD) and permutation entropy (PE) combined with singular value decomposition (SVD). Firstly, the vibration signals are decomposed by ITD to obtain a series of PRC components, and the permutation entropy of each component is calculated. Secondly, according to the set permutation entropy threshold, the PRC components are selected for reconstruction to achieve a noise reduction effect. On this basis, SVD is carried out, and the appropriate reconstruction order is selected according to the position of the singular value difference spectrum mutation point for reconstruction, so as to achieve the secondary noise reduction effect. The proposed method is compared with the LMD-PE-SVD and EMD-PE-SVD dual noise reduction method by simulation, taking the correlation coefficient and signal-to-noise ratio to evaluate the noise reduction performance and finding that the ITD-PE-SVD noise reduction has good noise reduction and pulse effect. Furthermore, this method is applied to the analysis of the upper guide swing data in the X-direction and Y-direction of a unit in a hydropower station in China, and it is found that this method can effectively reduce noise and accurately extract signal features, thus determining the vibration cause, which is helpful to improve the turbine fault recognition rate.
Generative Adversarial Network for Damage Identification in Civil Structures

In recent years, many efforts have been made to develop efficient deep-learning-based structural health monitoring (SHM) methods. Most of the proposed methods employ supervised algorithms that require data from different damaged states of a structure in order to monitor its health conditions. As such data are not usually available for real civil structures, using supervised algorithms for the health monitoring of these structures might be impracticable. This paper presents a novel two-stage technique based on generative adversarial networks (GANs) for unsupervised SHM and damage identification. In the first stage, a deep convolutional GAN (DCGAN) is used to detect and quantify structural damages; the detected damages are then localized in the second stage using a conditional GAN (CGAN). Raw acceleration signals from a monitored structure are used for this purpose, and the networks are trained by only the intact state data of the structure. The proposed method is validated through applications on the numerical model of a bridge health monitoring (BHM) benchmark structure, an experimental steel structure located at Qatar University, and the full-scale Tianjin Yonghe Bridge.
Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

Digital twin (DT), machine learning, and industrial Internet of things (IIoT) provide great potential for the transformation of the container terminal from automation to intelligence. The production control in the loading and unloading process of automated container terminals (ACTs) involves complex situations, which puts forward high requirements for efficiency and safety. To realize the real-time optimization and security of the ACT, a framework integrating DT with the AdaBoost algorithm is proposed in this study. The framework is mainly composed of physical space, a data service platform, and virtual space, in which the twin space and service system constitute virtual space. In the proposed framework, a multidimensional and multiscale DT model in twin space is first built through a 3D MAX and U3D technology. Second, we introduce a random forest and XGBoost to compare with AdaBoost to select the best algorithm to train and optimize the DT mechanism model. Third, the experimental results show that the AdaBoost algorithm is better than others by comparing the performance indexes of model accuracy, root mean square error, interpretable variance, and fitting error. In addition, we implement empirical experiments by different scales to further evaluate the proposed framework. The experimental results show that the mode of the DT-based terminal operation has higher loading and unloading efficiency than that of the conventional terminal operation, increasing by 23.34% and 31.46% in small-scale and large-scale problems, respectively. Moreover, the visualization service provided by the DT system can monitor the status of automation equipment in real time to ensure the safety of operation.
Associations Between COVID-19 Difficulties, Well-Being, and Personality Traits

During the Coronavirus disease (COVID-19) pandemic, everyday life has changed; people faced various difficulties and overcame them differently. This study aimed to identify how subjectively named difficulties, the ability to cope with these difficulties, and psychological well-being reported by individuals during the first quarantine of COVID-19 in Lithuania were related to gender, age, and personality traits. Three hundred fifty-one participants aged 18 to 70 years completed an online questionnaire. Results revealed that half of the respondents reported various difficulties, classified into six categories, related to the first COVID-19 quarantine. Furthermore, 51% of the participants indicated poor well-being; the well-being of women and young adults (aged 18–29) was significantly lower compared to the other groups. Those who indicated COVID-19 pandemic difficulties showed higher levels of Neuroticism, and Neuroticism was positively related to the severity of the difficulties. Coping with these difficulties and well-being were positively related to Extraversion, Agreeableness, Conscientiousness, and Openness, and negatively associated with Neuroticism. The manifestation of the particular personality traits in different groups of indicated difficulties is discussed in the article.
Comparative Analysis of Woods-Saxon and Yukawa Model Nuclear Potentials

In this paper, we model the nuclear potential using Woods-Saxon and Yukawa interaction as the mean field in which each nucleon experiences a central force due to rest of the nucleons. The single particle energy states are obtained by solving the time independent Schrodinger wave equation using matrix diagonalization method with infinite spherical well wave-functions as the basis. The best fit model parameters are obtained by using variational Monte-Carlo algorithm wherein the relative mean-squared error, christened as chi-squared value, is minimized. The universal parameters obtained using Woods-Saxon potential are found to be matched with literature reported data resulting a chi-square value of 0.066 for neutron states and 0.069 for proton states whereas the chi-square value comes out to be 1.98 and 1.57 for neutron and proton states respectively by considering Yukawa potential. To further assess the performance of both the interaction potentials, the model parameters have been optimized for three different groups, light nuclei up to 16O - 56Ni, heavy nuclei 100Sn - 208Pb and all nuclei 16O - 208Pb. It is observed that Yukawa model performed reasonably well for light nuclei but did not give satisfactory results for the other two groups while Woods-Saxon potential gives satisfactory results for all magic nuclei across the periodic table.
Beneficial effects of soaking and germination on nutritional quality and bioactive compounds of biofortified wheat derivatives

Meena Verma1, Vinod Kumar2, Imran Sheikh1, Punesh Sangwan3, Roop Singh Bora1*, Ajar Nath Yadav1, Harcharan Singh Dhaliwal1 1Department of Genetics, Plant Breeding and Biotechnology, Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, India. 2Department of Biochemistry, CCS Haryana Agricultural University, Hisar, India. 3Akal College of Basic Sciences, Eternal University, Baru Sahib, India.
OPTH_A_329935 4227..4237

1Senshinkai Eye Institute, Iizuka-shi, Japan; 2Alcon Japan Ltd., Tokyo, Japan; 3Alcon Vision LLC, Lake Forest, CA, USA Purpose: To compare the effects of femtosecond laser assisted cataract surgery (FLACS) and manual phacoemulsification on cumulative dissipated energy (CDE), torsional amplitude, and endothelial cell density (ECD). Patients and Methods: This prospective, randomized study was conducted at Oka Eye Clinic (Fukuoka, Japan). Surgeries were performed using FLACS (with LenSx) or conventional technique in adults ≥20 years with grade 2–4 cataracts. Visits included preoperative, surgery day, and 5 postoperative visits (days 1, 4–10, 20–40, 60–120, and 150–210). Primary endpoint was CDE. Secondary endpoints included ECD percent change at day 150–210 versus preoperative visit and average torsional amplitude on surgery day. Exploratory endpoints included central corneal thickness and corrected distance visual acuity (CDVA). Superiority of FLACS to conventional technique was evaluated using t-tests based on a mixed model for repeated measures. Results: Full analysis set included 53 eyes per group. Mean cataract grade was 2.92±0.58 in FLACS and 2.94±0.57 in conventional group. FLACS versus conventional method had significantly lower mean CDE (0.213±0.334 versus 1.718±0.898%-seconds, respectively; P<0.0001), demonstrating superiority of FLACS. Low endothelial cell loss (ECL) was achieved with both FLACS and conventional methods (1.5±5.6% and 2.7±5.2%; P=0.260). Torsional amplitude was significantly lower for FLACS versus conventional method (19.6 ±16.0% versus 31.1±6.6%; P<0.0001). Central corneal thickness was comparable for both methods at all visits except day 1; CDVA was comparable for both methods at all postoperative visits. Conclusion: FLACS achieved significantly lower CDE compared with the conventional surgical method (P<0.0001). Low ECL was achieved with both FLACS (1.5%) and conventional (2.7%) methods.
Implementation Difficulties of Kuwait National Competency-Based Curriculum

The study investigates teachers' understanding and use of competency-based national curriculum in Kuwait's public education schools. A developed questionnaire survey distributed to 317 teachers and 94 supervisors. Findings indicated weaknesses in professional development and training, the assessment process, use of instructional technology, financial supplies, and teacher guides. Recommendations highlight needs of a professional development and training to supervisors and teachers on implementing the national competency-based curriculum, standards-based assessments, instructional technology, instructional strategies, and financial supplies. A future research on effects of the national competency-based curriculum on student learning, teaching performance, and outcomes of educational process is highly recommended. Received: 26 May 2021 / Accepted: 2 August 2021 / Published: 5 September 2021
The nuclear channel effect in the isomeric ratio of the reaction products

This work presents the experimental study of the isomeric ratio of 115mCd to 115gCd produced in 116Cd(γ, n)115m,gCd photonuclear reaction and 116Cd(n, γ)115m,gCd neutron capture reaction by thermal, epithermal and mixed thermal and epithermal neutrons. The investigated samples were natural cadmium irradiated at the bremsstrahlung photon flux, in the neutron source constructed at the electron accelerator Microtron MT-25 of the Flerov Laboratory of Nuclear Reaction, Joint Institute for Nuclear Research, Dubna, Russia. The results were analyzed, discussed, compared and combined with those of other authors in the existing literature to examine the role of the nuclear channel effect in the isomeric ratio and provide the nuclear data for theoretical model interpretation of nuclear reactions and applied research.
Study of Phenytoin Effect on the genes involved in glucose and lipid
 metabolism expression in liver: A mouse model study

Phenytoin as an anti-seizure medication, is useful for the prevention of tonic-clonic seizures and focal seizures. In this study we focused on the probable effects of Phenytoin drug on gene expression profile of liver related to lipid metabolism balance in mouse as a model. In this study, a group including 7 male mice of BALB/c were treated with phenytoin 3–5 mg/kg/day orally and a group including 7 male mice of BALB/c were took standard food. Liver tissue samples were isolated. Total RNA was extracted and cDNA was synthesized. Expression of Akt1, Leptin, Adipoq and GLUT4 genes was measured using Realtime RT-PCR method. Results showed an increase about 15 and 3 fold changes in Akt1 (P <0.001) and Adipoq (P <0.001) gene expression respectively in treatment group compare to control mice. Also, we detected decreasing in Leptin and GLUT4 genes expression in the mice treated with phenytoin drug. Several studies indicated that phenytoin can promote hyperglycemia in human and animal. We proposed here that this effects may resulted from an interference between the phenytoin drug and gene expression profile in liver. Decreasing of leptin level here may be a result of glucose level elevation in blood that can induce a satiety situation result in decrease of leptin production. It may that Akt1 gene expression is increased to compensate the low level of GLUT4 protein. We concluded that phenytoin is a relatively high-risk antiepileptic drug for obesity and metabolic syndrome, but more studies are
Preclinical evaluation of anticataract activity of Mentha spicata leaves on isolated goat lens by an in vitro model

One of the major complications seen in patients with diabetes mellitus is cataract. Many medicinal plants have been used for preventing this major secondary complication. The aim of the current study was to evaluate the anticataract activity of the leaf extract of Mentha spicata extract (ME) on glucose-induced cataractogenesis on isolated goat lens. The freshly isolated goat lenses taken were divided into five experimental groups and incubated for 72 hours: 55 mM glucose alone (Group I), 100 μg/ml ME + 55 mM glucose (Group II), 300 μg/ ml ME + 55 mM glucose (Group III), 500 μg/ml ME + 55 mM glucose (Group IV), and 12 ng/ml Enalapril + 55 mM glucose (Group V), respectively. Various biochemical parameters such as total protein, H2O2, malondialdehyde (MDA), reduced glutathione, Cu2+-induced lipoprotein dienes, and enzymatic antioxidants like catalase and guaiacol peroxidase were measured in the lens homogenate after incubation. Complete opacity was observed in Group 1 which underwent glucose-induced cataractogenesis correlating with high levels of MDA, reduced amounts of total protein, and enzymatic and non-enzymatic antioxidants compared to Group II. Due to the presence of ME in Group II, pre-oxidative damage to the lenses caused by glucose was prevented. Hence, it was seen that the leaf extract of M. spicata prevented glucose-induced oxidative damage in the lenses, which may help in delaying the onset of cataract.
Experience of Loneliness and Social Support during COVID-19 Confinement: A Nation-wide self-Assessment among Undergraduates of Nepal

In the account of the social nature of human beings, the given difficult circumstance due to COVID-19 may call upon social loneliness, emotional loneliness, and moreover, lack of perceived social support. We aim to elucidate by assessing the level of loneliness and the level of social support perceived by college students amidst the COVID-19 lockdown. A web-based cross-sectional survey was conducted among 970 Nepalese undergraduate students. Responses were extracted, cleaned, and analyzed with the help of R-studio (version 1.2.5033). Descriptive statistics such as frequency, percentage, mean and standard deviation described participants’ demographic characteristics. Karl Pearson’s Correlation analysis and significant test of correlation for loneliness, social support, and their various subscales, respectively were significant at 0.1%, 1%, and 5% level of significance. The mean age of respondents was 22.2 years (SD =2.74). Significant correlations were observed among social loneliness, emotional loneliness, overall loneliness (social loneliness and emotional loneliness combined), social family support, social friends support, social significant others support, and total social support (that is to say, all the social support subscales). The study reported that a decrease in social support leads to an increase in loneliness. Likewise, a decrease in social support from family, friends, and from significant others can increase emotional and overall loneliness.
Development and Validation of a Novel Ferroptosis-Related Gene Signature for Predicting Prognosis and the Immune Microenvironment in Gastric Cancer

Ferroptosis is a mode of regulated cell death that depends on iron and plays pivotal roles in regulating various biological processes in human cancers. However, the role of ferroptosis in gastric cancer (GC) remains unclear. In our study, a total of 2721 differentially expressed genes (DEGs) were filtered based on The Cancer Genome Atlas (TCGA) (n = 375) dataset. Weighted gene coexpression network (WGCNA) analysis was then used and identified 7 modules, of which the blue module with the most significant enrichment result was selected. By taking the intersections of the blue module and ferroptosis-related genes (FRGs), we obtained 23 common genes. Functional analysis was performed to explore the biological function of the genes of interest, and with univariate Cox regression (UCR) analysis, survival genes were screened to construct a prognostic model based on 3 genes (SLC1A5, ANGPTL4, and CGAS), which could play a role in predicting the survival of GC patients. UCR and multivariate Cox regression (MCR) analysis revealed that the prognostic index could be used as an independent prognostic indicator and validated using another GSE84437 dataset. Notably, patients in the high-risk group had higher mutation frequencies, such as TTN and TP53. TIMER analysis demonstrated that the risk score strongly correlated with macrophage and CD4+ T cell infiltration. In addition, the high- and low-risk groups illustrated different distributions of different immune statuses. Furthermore, the low-risk group had a higher immunophenoscore (IPS), which meant a better response to immune checkpoint inhibitors (ICIs). Finally, gene set enrichment analysis (GSEA) revealed several significant pathways involved in GC. In this study, a novel FRG signature was built that could predict GC prognosis and reflect the status of the tumor immune microenvironment.