Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and simulation of vehicle vibration test based on virtual reality technology

Abstract When a car is operating, the road roughness will cause it to vibrate. When this vibration reaches a particular threshold, the driver will get uncomfortable and fatigued, affecting the bearing system’s durability and longevity. The vehicle vibration virtual test system’s framework design and implementation approach is based on virtual reality (VR), and it is made up of a VR subsystem, a model subsystem, and a virtual instrument subsystem. A virtual car vibration test system based on VR is built, and the results of the virtual vehicle vibration test are reported. The findings indicate that the virtual test (VT) technology theoretical model pertains to the creation of VT systems for car vibration based on VR. Users may monitor the vehicle vibration as well as its time domain and frequency domain signals in three separate observation modes using the system.
In-training Restoration Models Matter: Data Augmentation for Degraded-reference Image Quality Assessment

Full-Reference Image Quality Assessment (FR-IQA) metrics such as PSNR, SSIM, and LPIPS have been widely adopted for evaluating image restoration (IR) methods. However, pristine-quality images are usually not available, making inferior No-Reference Image Quality Assessment (NR-IQA) metrics seem to be the only solutions in practical applications. Fortunately, when evaluating image restoration methods, paired degraded and restoration images are generally available. Thus, this paper takes a step forward to develop a Degraded-Reference IQA (DR-IQA) model while respecting its correspondence with FR-IQA metrics. To this end, we adopt a simple encoder-decoder as DR-IQA model, and take paired degraded and restoration images as the input to predict distortion maps guided by FR-IQA metrics. More importantly, due to the diversity and continuous development of image restoration models, it is difficult to make the DR-IQA model learned based on a specific restoration model generalize well to other ones. To address this issue, we augment the DR-IQA training samples by adding the results produced by in-training restoration models. Benefiting from the diversity of training samples, our learned DR-IQA model generalizes well to unseen restoration models. We respectively test our DR-IQA models on various image restoration tasks,e.g., denoising, super-resolution, JPEG deblocking, and complicated degradations, where our method can further close the performance gap between FR-IQA metrics and the state-of-the-art NR-IQA methods. Moreover, experiments also show the effectiveness of our method in performance comparison and model selection of image restoration models without ground-truth clean images. Source code will be made publicly available.
Wytwarzanie energii elektrycznej z wykorzystaniem odnawialnych zasobów energii

• pośrednią, zwaną rowniez termodynamiczną (heliotermiczna), związaną z wytworzeniem ciepla czynnika termodynamicznego elektrowni cieplnej; proces technologiczny elektrowni slonecznej jest w tym przypadku prawie identyczny jak w klasycznej elektrowni cieplnej, z tym ze funkcje kotla parowego spelnia kociol sloneczny (rozwiązania przedstawione na rys. 11 a i b); • bezpośrednią (fotowoltaiczna), polegającą na wykorzystaniu przetwornikow fotoelektrycznych i termoemisyjnych (glownie fotoelektrycznych -ogniw slonecznych).
Polarizablity of 2D and 3D conducting objects using method of moments

Fundamental antenna limits of the gain-bandwidth product are derived from polarizability calculations. This electrostatic technique has significant value in many antenna evaluations. Polarizability is not available in closed form for most antenna shapes and no commercial electromagnetic packages have this facility. Numerical computation of the polarizability for arbitrary conducting bodies was undertaken using an unstructured triangular mesh over the surface of 2D and 3D objects. Numerical results compare favourably with analytical solutions and can be implemented efficiently for large structures of arbitrary shape. References P. Arcioni, M. Bressan, and L. Perregrini. On the evaluation of the double surface integrals arising in the application of the boundary integral method to 3D problems. IEEE Trans. Microw. Theory Tech. , 45(3):436--439 (1997). doi:10.1109/22.563344 G. J. Burke and A. J. Poggio. Numerical Electromagnetics Code (NEC)---Method of Moments . National Technical Information Service, U.S. Department of Commerce (1981). http://www.ntis. gov/search/product.aspx? ABBR=ADA956129 T. F. Eibert and V. Hansen. On the calculation of potential integrals for linear source distributions on triangular domains. IEEE Trans. Antennas Propag. , 43(12):1499 --1502 (1995). doi:10.1109/8.475946 FEKO, EM Software and Systems. FEKO 6.1. 1 , 1998-2011. http://www.feko. info/ M. Gustafsson. Physical bounds on antennas of arbitrary shape. Loughborough Antennas and Propagation Conference , (2011). doi:10.1109/LAPC.2011. 6114002 M. Gustafsson, C. Sohl, and G. Kristensson. Illustrations of new physical bounds on linearly polarized antennas. IEEE Trans. Antennas Propag. , 57(5):1319 --1327 (2009). doi:10.1109/TAP.2009. 2016683 M. Gustafsson, C. Sohl, C. Larsson, and D. Sjoberg. Physical bounds on the all-spectrum transmission through periodic arrays. Europhysics Letters , 87(3):34002 (2009). doi:10.1209/0295-5075/87/34002 R. F. Harrington. Field Computation by Moment Methods . IEEE Press (1993). R. E. Kleinman and T. B. A. Senior. Rayleigh scattering. In V. V. Varadan and V. K. Varadan, editors, Handbook on Acoustic, Electromagnetic and Elastic Wave Scattering , volume 2, pages 1--70. Elsevier (1986). C. Sohl, M. Gustafsson, and G Kristensson. Physical limitations on broadband scattering by heterogeneous obstacles. J. Phys. A: Math. Theor. , 40(36):11165 (2007). doi:10.1088/1751-8113/40/36/015 C. Sohl, C. Larsson, M. Gustafsson, and G. Kristensson. A scattering and absorption identity for metamaterials: Experimental results and comparison with theory. J. Appl. Phys. , 103(5):054906 (2008). doi:10.1063/1.2875727
Learning from Explanations: Multi-aspect based Age-restricted Rating Prediction in Long Scripts

In the Motion Picture Association of America 001 (MPAA), reviewers watch the entire film to 002 determine the age-restricted category (MPAA 003 rating) of the movie and provide the explana-004 tory feedback for rating decision. As such hu-005 man expert system is a time-consuming and 006 non-scalable process, this paper proposes to de-007 velop a machine review system named MARS 008 that automatically predicts the MPAA ratings 009 of movie scripts. Specifically, in MARS, we 010 first explore the use of the well-studied multi-011 aspect classification as machine-provided ex-012 planations, then leverage them to better learn 013 the target rating prediction models. We demon-014 strate MARS outperforms various baselines by 015 around 10 points in terms of F1 score, detecting 016 severe contents with multi-aspect view
Hybrid-Regressive Neural Machine Translation

In this work, we empirically confirm that non-autoregressive translation with an iterative refinement mechanism (IR-NAT) suffers from poor acceleration robustness because it is more sensitive to decoding batch size and computing device setting than autoregressive translation (AT). Inspired by it, we attempt to investigate how to combine the strengths of autoregressive and non-autoregressive translation paradigms better. To this end, we demonstrate through synthetic experiments that prompting a small number of AT's predictions can promote one-shot non-autoregressive translation to achieve the equivalent performance of IR-NAT. Following this line, we propose a new two-stage translation prototype called hybrid-regressive translation (HRT). Specifically, HRT first generates discontinuous sequences via autoregression (e.g., make a prediction every k tokens, k>1) and then fills in all previously skipped tokens at once in a non-autoregressive manner. We also propose a bag of techniques to effectively and efficiently train HRT without adding any model parameters. HRT achieves the state-of-the-art BLEU score of 28.49 on the WMT En-De task and is at least 1.5x faster than AT, regardless of batch size and device. In addition, another bonus of HRT is that it successfully inherits the good characteristics of AT in the deep-encoder-shallow-decoder architecture. Concretely, compared to the vanilla HRT with a 6-layer encoder and 6-layer decoder, the inference speed of HRT with a 12-layer encoder and 1-layer decoder is further doubled on both GPU and CPU without BLEU loss.
Towards Full Utilization on Mask Task for Distilling PLMs into NMT

Owing to being well-performed in many natu-001 ral language processing tasks, the application 002 of pre-trained language models (PLMs) in neu-003 ral machine translation (NMT) is widely con-004 cerned. Knowledge distillation (KD) is one of 005 the mainstream methods which could gain con-006 siderable promotion for NMT models without 007 extra computational costs. However, previous 008 methods in NMT always distill knowledge at 009 hidden states level and can not make full use 010 of the teacher models. For solving the afore-011 mentioned issue, we propose KD based on 012 mask task as a more effective method utilized 013 in NMT which includes encoder input con-014 version, mask task distillation, and gradient 015 optimization mechanism. Here, we evaluate 016 our translation systems for English → German 017 and Chinese → English tasks and our methods 018 clearly outperform baseline methods. Besides, 019 our framework can get great performances 020 with different PLMs. 021
A Well-Composed Text is Half Done! Semantic Composition Sampling for Diverse Conditional Generation

We propose Composition Sampling, a simple 001 but effective method to generate higher qual-002 ity diverse outputs for conditional generation 003 tasks, compared to previous stochastic decod-004 ing strategies. It builds on recently proposed 005 planning-based neural generation models that 006 are trained to ﬁrst create a composition of the 007 output using an entity chain and then continue 008 to generate conditioned on the entity chain 009 and the input (Narayan et al., 2021). Our ap-010 proach avoids text degeneration by ﬁrst sam-011 pling a composition in the form of an entity 012 chain and then using beam search to gener-013 ate the best possible text grounded to the en-014 tity chain. Experiments on CNN/DailyMail 015 and XSum using a variety of automatic metrics 016 and human-based evaluation demonstrate that 017 Composition Sampling is currently the best 018 available decoding strategy for generating di-019 verse meaningful summaries. We further out-020 perform state-of-the-art approaches for ques-021 tion generation in terms of BLEU. 022
Chapter 3 Inhomogeneous random graphs

In maximum generality an inhomogeneous random graph is one in which an edge bettween vertices i and j is present with probability p(i, j). However, it is not possible to prove anything signficant in this leel of generality. Bollobás, Janson, and Riordan (2007), a reference we will refer to as BJR(2007), have found a framework that is very general and allows for a rich theory to be developed. In the special case that we will consider, we imagine the vertices embedded in (0, 1] which is equipped with the Borel sets and Lebesgue measure, and there is a kernel κ defined on (0, 1]× (0, 1] that is continuous almost everywhere and so that
Leaf extract mediated green synthesis of silver nanoparticles: synthesis, characterization and antimicrobial property

---------------------------------------------------------------------------------------------------------------------------------------------------ABSTRACT Researchers create nanoparticles and nanomaterials using bionanotechnology methods because they are economical and environmentally beneficial. The current work confirms for the first time that Saccharum spontaneumplant extract may biosynthesize silver nanoparticles (AgNPs) when cultivated in vitro. The production of AgNPs was confirmed by the surface plasmon resonance seen at 450 nm. Additionally, nanoparticles' spherical form was seen in FESEM pictures. The crystalline character of the particles was further confirmed by XRD examination. The probable biomolecules involved in the bioreduction of silver ions were found by FTIR analysis. Gram-positive and Gram-negative bacteria were each successfully killed by biosynthesized Ag NPs in an antimicrobial experiment. The findings suggest that it is possible to create nanoparticles with desired characteristics by growing plants in controlled environments.
Anderson & Olivier Schools as Learning Organizations

This quantitative study explored teacher perceptions of professional learning community dimensions, teacher self-efficacy, and collective efficacy. Professional learning communities (PLCs) have been shown to positively impact teacher self-efficacy and collective efficacy, all supporting student achievement. The overarching question guiding this study was, What relationships exist among professional learning community dimensions, teacher self-efficacy, and collective efficacy and what differences exist in teacher perceptions in elementary, middle, and high schools; TAP and Non-TAP schools; and high poverty and low poverty schools? The study sample included 57 schools within one large metropolitan southern school district. Three data collection measures were utilized to assess teacher perceptions including the Professional Learning Community Assessment-Revised, the Teachers’ Sense of Efficacy Scale, and the Teacher Efficacy Beliefs Scale-Collective Form. Data analyses included descriptive and inferential statistics and resulted in eight major findings with finding Implications related to conceptual/theoretical frameworks, leadership and practice, and future research. These findings support professional learning communities as positively influencing teacher self-efficacy and collective efficacy; PLCs as contributing to school improvement; and school variables, such as poverty level, PLC implementation, and school level indeed influence efficacy. Additionally, study findings inform district leaders, school leaders, and teachers regarding implementation of PLC practices in enhancing teacher self-efficacy and collective efficacy and supporting school improvement. Anderson & Olivier Schools as Learning Organizations Research Issues in Contemporary Education Fall/Winter 2022 | Vol. 7, Issue 1 27
A Noninvasive Method for Determining Dielectric Properties of Layered Tissues on Human Back

A 3-dimensional (3D) reconstruction method based on layered-homogenous-tissue model to obtain dielectric properties of superficial tissues of human body by noninvasive measurement is presented in this paper. First a circle patch probe fed by coaxial line is optimized by using micro genetic algorithm (MGA) to measure reflection coefficient at a wide frequency range from 1 GHz to 7 GHz. Then reconstruction method based on MGA is discussed and verified by some experiments. Finally, the dielectric properties of skin, fat and muscle, as well as thickness of skin and fat, on the human back are reconstructed. The reconstructed results agree to the published data.
Structural Basis for the Allosteric Inhibition of Hypoxia-Inducible Factor 2 by Belzutifan

Hypoxia-inducible factor (HIF)-2α and its obligate heterodimerization partner aryl hydrocarbon receptor nuclear translocator (ARNT), are both members of the basic helix-loop-helix-PER-ARNT-SIM transcription factor family. Previous studies have identified HIF-2α as a key oncogenic driver in clear cell renal cell carcinoma (ccRCC), rendering it a promising drug target for this type of kidney cancer. Belzutifan is the first HIF-2α inhibitor approved for treating ccRCC and other cancers associated with the von Hippel-Lindau disease. However, the detailed inhibitory mechanism of belzutifan at molecular level is still unclear. Here we obtained the crystal structure of HIF-2α–ARNT heterodimer in complex with belzutifan at 2.75 Å resolution. The complex structure shows that belzutifan binds into the PAS-B pocket of HIF-2α, and it destabilizes the dimerization of HIF-2α and ARNT through allosteric effects mainly mediated by the key residue M252 of HIF-2α near the dimer interface. We further explored the inhibitory effects of belzutifan using biochemical and functional assays. The time-resolved fluorescence energy transfer–based binding assay showed that belzutifan disrupts the dimerization of HIF-2α and ARNT with a Ki value of 23 nM. The luciferase reporter assay indicated that belzutifan can efficiently inhibit the transcriptional activity of HIF-2α with an IC50 value of 17 nM. Besides, the real-time polymerase chain reaction assay illustrated that belzutifan can reduce the expression of HIF-2α downstream genes in 786-O kidney cancer cells in a dose-dependent manner. Our work reveals the molecular mechanism by which belzutifan allosterically inhibits HIF-2α and provides valuable information for the subsequent drug development targeting HIF-2α. SIGNIFICANCE STATEMENT The basic helix-loop-helix-PER-ARNT-SIM (bHLH-PAS) family of transcription factors are an emerging group of small-molecule drug targets. Belzutifan, originally developed by Peloton Therapeutics, is the first Food and Drug Administration–approved drug directly binding to a bHLH-PAS protein, the hypoxia-inducible factor (HIF)-2α. Based on the protein-drug complex structure, biochemical binding assays, and functional profiling of downstream gene expression, this study reveals the regulatory mechanism of how belzutifan allosterically destabilizes HIF-2α’s heterodimerization with its obligate partner protein, thus reducing their transcriptional activity that links to tumor progression.
The effect of age on the clinical characteristics and innate immune cell function in the patients with abdominal sepsis

Sepsis is a life-threatening dysregulated host response to infection that compromises organ health, and abdominal sepsis is a commonly presenting critical illness in intensive care units (ICU). In this study, we investigate the effect of age on clinical sepsis characteristics and innate immune cells (neutrophils and monocytes) functionality in abdominal sepsis patients. We recruited 32 patients with abdominal sepsis from the Beijing Ditan Hospital’s ICU from February 2021 to September 2021, and selected 18 healthy volunteers that were age- and sex-matched as controls for a prospective cohort study. Elderly abdominal sepsis patients (age >65 years) had the following altered characteristics compared to nonelderly patient controls: lower mean arterial pressure, monocytes percentage, and red blood cell volume distribution width (p < 0.05); higher neutrophils percentage and neutrophils-to-lymphocytes ratio (p < 0.05); significantly increased monocyte-produced reactive oxygen (p < 0.05); increases neutrophilic secretion of TNF-α, as well as lower monocytic secretion of TNF-α (p < 0.05); higher neutrophil percentage (which was significantly higher in peripheral blood than monocyte percentage). Elderly patients also had significantly increased phagocytic activity in their neutrophils and monocytes (p < 0.05), significantly reduced neutrophils-produced reactive oxygen (p < 0.001), and significantly increased TNF-α secretion by monocytes and neutrophils (p < 0.05). We found that elderly patients have decreased immune cell function and increased release of cytokines compared to younger patients, suggesting individualized treatment plans targeting the elderly septic microenvironment could help prevent organ failure in elderly septic patients and improves patient survival.
Believing in one's abilities: Ability estimates as a form of beliefs

COPYRIGHT © 2022 Neubauer and Hofer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Believing in one’s abilities: Ability estimates as a form of beliefs
Single-site multiport vs. conventional multiport robot-assisted radical prostatectomy: A propensity score matching comparative study

Objective Robot-assisted radical prostatectomy (RARP) is a dynamically evolving technique with its new evolution of single-site RARP. Here we sought to describe our extraperitoneal technique, named the single-site multiport RARP (ssmpRARP) using the da Vinci Si® platform and compare it with the transperitoneal conventional multiport RARP (cmpRARP). Materials and Methods Data were retrospectively collected for patients who underwent RARP for localized prostate cancer from June 2020 to January 2022 in a single center. Propensity score matching was performed based on age, prostate size, body mass index, neoadjuvant hormonal therapy usage, prostate-specific antigen levels, and clinical T stage. The differences between the matched two groups were investigated. Results Of the patients, 20 underwent ssmpRARP and 42 underwent cmpRARP during the period. After matching, 18 patients from each group were selected. Median follow-up was 7.8 months (2–12 months) for the ssmpRARP group, and 15.0 months (3–26 months) for cmpRARP. The demographic features between the two groups were comparable. The median total operative time, estimated blood loss, pathologic data, early follow-up outcomes, and hospitalization stays and costs were similar between the two groups. The ssmpRARP group tended to return to their bowel activities earlier (44.78 ± 10.83 h vs. 54.89 ± 12.97 h, p = 0.016). There were no significant differences in complication rates. Conclusions We demonstrated the feasibility and safety of performing extraperitoneal ssmpRARP using the da Vinci Si® robotic platform. Our technique showed comparable short-term outcomes with the transperitoneal cmpRARP. Prospective trials and long-term follow-up are necessary to confirm these results.
Societal vulnerability in the context of population aging—Perceptions of healthcare students' in Saudi Arabia

Background and objective: Healthcare professionals have an important role in increasing awareness and protecting populations from natural disasters. This study aimed to assess the perception of healthcare students toward societal vulnerability in the context of population aging. Methods This is a cross-sectional questionnaire-based study conducted among students from two different health colleges over 4 months from February to May 2021. Descriptive analysis was used to assess the perception, and inferential testing was used to assess the various association of knowledge toward societal vulnerability using SPSS. Results The majority of respondents were male (69.2%), between 20 and 24 years of age (91.2%), and studying for a nursing degree (76.6%). Only 4.7% had previously completed a previous degree. The mean score of perceptions on the Aging and Disaster Vulnerability Scale among nursing students was 42.5 ± 10.3 (0–65) while for paramedicine 48.1 ± 9.7 (0–65). Similarly, the mean score among male students was 44.1 ±10.5. The mean PADVS total score for the cohort was 43.8 (SD = 10.5). The mean PADVS total score for nursing students was significantly lower than paramedic students (42.5 vs. 48.1; p < 0.001). There was no correlation between PADVS total score and gender, age, area of residence, or previous degree. Conclusion Our results indicate that Saudi healthcare students perceive older adults are somewhat vulnerable to disasters with significant differences between nursing and paramedic students. Furthermore, we suggest informing emergency services disaster response planning processes about educational intervention to overcome disasters in Saudi Arabia and other countries.