Miracle-dz/UniFAR-FTUs huggingface dataset:
Proline–Proline Dyad in the Fusion Peptide of the Murine β–Coronavirus Spike Protein’s S2 Domain Modulates Its Neuroglial Tropism

The β-Coronavirus mouse hepatitis virus (MHV-A59)-RSA59 has a patent stretch of fusion peptide (FP) containing two consecutive central prolines (PP) in the S2 domain of the Spike protein. Our previous studies compared the PP-containing fusogenic-demyelinating strain RSA59(PP) to its one proline-deleted mutant strain RSA59(P) and one proline-containing non-fusogenic non-demyelinating parental strain RSMHV2(P) to its one proline inserted mutant strain RSMHV2(PP). These studies highlighted the crucial role of PP in fusogenicity, hepato-neuropathogenesis, and demyelination. Computational studies combined with biophysical data indicate that PP at the center of the FP provides local rigidity while imparting global fluctuation to the Spike protein that enhances the fusogenic properties of RSA59(PP) and RSMHV2(PP). To elaborate on the understanding of the role of PP in the FP of MHV, the differential neuroglial tropism of the PP and P mutant strains was investigated. Comparative studies demonstrated that PP significantly enhances the viral tropism for neurons, microglia, and oligodendrocytes. PP, however, is not essential for viral tropism for either astroglial or oligodendroglial precursors or the infection of meningeal fibroblasts in the blood–brain and blood–CSF barriers. PP in the fusion domain is critical for promoting gliopathy, making it a potential region for designing antivirals for neuro-COVID therapy.
Research on task scheduling in satellite edge computing

Satellite edge computing has attracted the attention of many scholars due to its extensive coverage and low delay. Satellite edge computing research remains focused on on-orbit task scheduling. This study explores related strategy investigation in the scenario where high-load satellites cannot participate in task scheduling based on the deficiencies of existing research work and methods. In order to solve a better scheduling scheme, a hybrid genetic particle swarm optimization (GABPSO) is proposed by introducing crossover and mutation operations of genetic algorithm (GA) into binary particle swarm optimization (BPSO). The simulation results demonstrate that the proposed method outperforms both the traditional GA and BPSO algorithms.
Perception of size and shape in stereoscopic 3D imagery

This paper explores the mathematical relationships between the scene geometry, camera parameters, and viewing environment and their influence on the viewer's perception of 3D. The current practice of using horizontal image translation to set convergence has an effect on the shape ratio and 3D magnification factor of the resulting images and is not well understood by the industry. This paper examines the gap between the creative processes used by stereographers and the mathematical relationships affected by those creative processes. Examples images varying the aforementioned parameters will be demonstrated.
Manufacturing capabilities reconfiguration in manufacturing strategy for sustainable competitive advantage

This paper focuses on reconfiguring manufacturing capabilities by aligning know-how and customer focus capabilities in finding manufacturing capabilities mechanism. The methodology applies Newsboy problem to capability transformation and game theory to capture bigger market share. Further, response analysis finds reconfiguration response pattern. The results show that a firm manufacturing strategy should consider know-how and customer focus on their manufacturing capability transformation to get information related to product life cycle and costs of technology and opportunity lost. The proposed approach shows that combination among Newsboy vendor problem, game theory and system dynamic models is suitable to be applied in maintaining the firm competitiveness. An innovated model of 'Newsboy vendor-game theory-system dynamic' shows the novelty of this proposed methodology.
ME: Chronic fatigue syndrome or a distinct clinical entity?

Myalgic encephalomyelitis (ME) is a disabling condition characterised by profound fatigue following minimal exertion and a delay in recovery after exertion ends. In 1988, when specialists introduced the concept of chronic fatigue syndrome (CFS), it was assumed that the illness in question was identical to ME but the lack of research criteria for the latter has prevented the testing of this assumption.In this article, we propose criteria and guidelines which can be used to study ME and determine whether it is a synonym for CFS or one of several subgroups contained within the CFS construct. If clinically meaningful differences are identified, the criteria may help to increase diagnostic precision and facilitate further research into the cause, course and treatment of ME.
Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing

Beijing has experienced rapid economic development since the reforms and opening up. However, the traditional development model based on excessive energy consumption has posed great challenges to the ecological environment. To curb environmental degradation and achieve sustainable social development, Beijing has proposed to achieve carbon neutrality by 2050. As an important indicator of energy consumption, it is necessary to clarify how energy intensity (EI) affects carbon emissions (CE) to achieve carbon neutrality in Beijing by 2050. This study first decomposes the drivers of CE in Beijing from 2010 to 2020 using the logarithmic mean Divisia index (LMDI) method and comparatively analyses the impact of EI on CE. Then, the spatial Dubin model (SDM) is used to analyse the spatial spillover effect of EI on CE at the regional level. Finally, the macro moderating role of economic development in the effect of EI on CE is analysed. The results show that the effect of EI has been the main driver of CE reduction in Beijing. Among the industrial sectors, manufacturing and transportation have had the greatest success in reducing CE through EI reduction. At the regional level, there is a spatial spillover effect of EI on CE, and the effect of carbon reduction through the spillover effect of EI is greater than the direct effect of EI. Economic factors have an enhanced moderating effect on the process of EI affecting CE, and this moderating effect has threshold properties.
A stable explicit fractional step procedure for the solution of heat and fluid flow through interfaces between saturated porous media and free fluids in presence of high source terms

In this paper, porous medium‐free fluid interface problems in the presence of high source terms are studied for the first time by using a stable, accurate and efficient Artificial Compressibility (AC) Characteristic‐Based Split (CBS) algorithm. The interest in the AC‐CBS scheme has increased, as its matrix‐inversion free procedure offers the possibility of an easy and efficient parallelization. The present algorithm, recently introduced for the solution of porous media flows, presented some difficulties in solving complex interface problems. In this paper, the AC‐CBS scheme has been specifically developed to overcome such difficulties and produce an accurate, stable, and efficient solution for the generalized porous medium flow equations for forced, free, and mixed convection through interfaces. In order to obtain the present results, a stability analysis for the AC‐CBS scheme for the solution of problems with high source terms is carried out for the first time. The efficiency and the accuracy of the AC‐CBS algorithm are verified through comparison with analytical, numerical, and experimental data available in the literature. The authors consider three different types of interface benchmark problems: (i) forced convection in a horizontal channel; (ii) mixed convection in a vertical channel; and (iii) natural convection in a vertically divided cavity. Copyright © 2010 John Wiley & Sons, Ltd.
The multipolar Hamiltonian in radiation theory

The multipolar Hamiltonian is widely used in applications of quantum electrodynamics to quantum optics and theoretical chemistry. In this paper, it is shown how this form of the Hamiltonian, normally derived within the Coulomb gauge, may be obtained from a Lagrangian in an arbitrary gauge. The method involves the construction of the Routhian functional to eliminate ignorable coordinates from which the Hamiltonian is obtained. Further, the electrostatic interactions arise from a constraint and are independent of the initial choice of the scalar potential. The contributions from Röntgen currents, arising from dielectric motion, are allowed for by including nuclear motions in the theory.
Abstractive text summarization of low-resourced languages using deep learning

Background Humans must be able to cope with the huge amounts of information produced by the information technology revolution. As a result, automatic text summarization is being employed in a range of industries to assist individuals in identifying the most important information. For text summarization, two approaches are mainly considered: text summarization by the extractive and abstractive methods. The extractive summarisation approach selects chunks of sentences like source documents, while the abstractive approach can generate a summary based on mined keywords. For low-resourced languages, e.g., Urdu, extractive summarization uses various models and algorithms. However, the study of abstractive summarization in Urdu is still a challenging task. Because there are so many literary works in Urdu, producing abstractive summaries demands extensive research. Methodology This article proposed a deep learning model for the Urdu language by using the Urdu 1 Million news dataset and compared its performance with the two widely used methods based on machine learning, such as support vector machine (SVM) and logistic regression (LR). The results show that the suggested deep learning model performs better than the other two approaches. The summaries produced by extractive summaries are processed using the encoder-decoder paradigm to create an abstractive summary. Results With the help of Urdu language specialists, the system-generated summaries were validated, showing the proposed model’s improvement and accuracy.
H I emission from quasar host galaxies

A 22-cm wavelength search has been conducted for H I emission from the host galaxies of all seven real quasars with z of less than 0.1 which lie in a declination range of between +2 and +35 deg. Both IZwl and Mrk 304 lie in galaxies whose neutral hydrogen masses are of a typical value for large spirals. Most quasar host galaxies were not detected at levels greater than about 1 billion solar masses, even though some have optical spiral morphologies. An extremely accurate systemic velocity was obtained from the apparently undisturbed, symmetric horned profile of IZwl, showing that the low ionization emission-line system is nearly at rest while the high ionization O III and Ne III forbidden lines are blueshifted by 700 km/sec relative to the systemic frame. 25 references.
Robot-Assisted Immersive Kinematic Experience Transfer for Welding Training

: Human motor skills are critical for executing a variety range of tasks in construction. Traditional hands-on training is resource and labor intensive, whereas virtual training, such as video demonstrations, cannot provide trainees with egocentric kinesthetic or proprioceptive experience such as muscular engagement. It is important to develop remote training methods that can provide rich sensory feedback and leverage the trainee ’ s proprioception. This paper proposes a novel remote motor skill training system that can transfer experts ’ kinematic and kinesthetic experience, including both positional and force experience, to novice trainees by using virtual reality (VR) and a robot arm without the physical presence of the experts. The system uses VR to simulate virtual operation scenarios and interactions to provide an immersive operation experience. The robotic system records experts ’ kinematic and kinesthetic patterns and trains novices with perceptual learning. The system design was demonstrated with a welding training task. A welding simulator was built with a Unity engine and a seven-degrees-of-freedom robot arm, which provided high-fidelity welding experience and could actively guide welding trainees. It was found that the welding simulator was resilient to external disturbance and provided accurate feedback and guidance. The proposed system contributes to the design of a more embodied remote motor skill training method. DOI: 10.
Layer-by-layer electrostatic self-assembly of nanoscale Fe3O4 particles and polyimide precursor on silicon and silica surfaces

Monolayer and multilayer ultrathin films comprised of nanosized iron oxide (Fe3O4) particles and polyimide molecules have been fabricated on single crystal silicon and quartz substrates by a novel layer-by-layer electrostatic self-assembly process. This process involves the alternate dipping of a substrate into an aqueous solution of anionic polyimide precursor (polyamic acid salt, PAATEA), followed by dipping into an aqueous solution of polycation polydiallyldimethylammonium chloride (PDDA) which coats on nanoscale Fe3O4 particles as a stabilizer. The growth process and the structure have been characterized using UV-vis spectroscopy, contact angle, and ellipsometry measurements. The results suggest that well-ordered uniform monolayer and multilayer magnetic films have been formed on silicon and silica surfaces. A recently developed highly sensitive fiber optic magnetic field sensor was used to probe the small magnetic field intensity produced by the multilayer films.
Research on the Curvature Prediction Method of Profile Roll Bending Based on Machine Learning

Roll-bending technology has a high degree of flexibility and does not require special molds. However, based on the existing plastic mechanics theory and finite element simulation, it is difficult to accurately analyze the complex spatial relationship of profile roll forming. Therefore, a fixed-curvature prediction model is constructed based on XGBoost (extreme gradient boosting), and the coupling effect of the process parameters and material performance parameters on the roll-forming process is explored. Combined with a Bayesian optimization algorithm, the hyperparameters of the fixed-curvature prediction model are optimized. In addition, based on the prediction result of the fixed curvature, a variable-curvature prediction model is established using the conditional random field (CRF). To further improve the prediction accuracy, an error compensation network is added after the result of the CRF in order to map the discrete sequence to the continuous sequence. The experimental results show that the mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) predicted by the models above are much smaller than other methods, which verifies the superiority of the prediction models.
Predicting theater chair absorption from reverberation chamber measurements

The sound absorption of small samples consisting of up to 18 upholstered theater chairs was measured in a reverberation chamber and these results were related to the effect of larger samples of the same chairs in auditoria. The sound absorption coefficients of the chairs, measured in a reverberation chamber, were found to be linearly related to the ratios of perimeter to area of the samples of chairs. Extrapolating these reverberation chamber measurements to smaller perimeter to area ratios, characteristic of seating blocks in auditoria, produced good agreement with measurements of the same seats in the auditoria. This procedure is proposed as a more accurate approach to predicting the absorbing characteristics of upholstered theater chairs in auditoria. Three other more approximate approaches were also considered including the use of screens to eliminate edge absorption, average sample size corrections, and the use of average absorption coefficients for all types of chairs. The merits of each approach ar.
Safety and Efficacy of Concurrent or Sequential Radiotherapy Plus (PD-1) Inhibitors in Oligometastatic Esophageal Cancer

Purpose We assess real-world outcomes, including safety and efficacy, of concurrent or sequential treatment with radiotherapy plus programmed cell death protein 1 (PD-1) inhibitors in patients with oligometastatic esophageal cancer (OMEC). Methods This cohort study retrospectively collected clinical data of patients with synchronous or metachronous OMEC. All patients underwent concurrent or sequential treatment with radiotherapy plus PD-1 inhibitors. Each patient had up to five measurable metastatic lesions and up to three organs involved. Study endpoints were progression-free survival (PFS), treatment-related toxicities, locoregional progression-free survival (LRPFS), objective response rate (ORR), and disease control rate (DCR). Description statistics and Kaplan–Meier models were used for statistical analysis. Results A total of 86 patients were included, most of whom were diagnosed with squamous cell carcinoma histology (98%) and presented with synchronous OMEC (64%). The median follow-up period was 17 months (range: 6–32 months), the median PFS was 15.2 months (95% confidence interval: 12.1–18.2 months); and the 1- and 2-year PFS rates were 61.4% and 26.7%, respectively. The 1- and 2-year LRPFS were 91.3% and 57.3%, respectively. The ORR and DCR were 46.5% and 91.8%, respectively. Forty-two patients (48.8%) experienced grade 3 or higher treatment-related adverse events (TRAEs); a grade 5 treatment-related adverse event was observed in one patient (1.2%) who died of immune-related pneumonitis. Conclusion Combining radiotherapy with PD-1 inhibitors is a safe and effective treatment option for patients with OMEC. No new safety concerns were identified in this study. However, due to the potential risk of cumulative toxicity, an individual risk-benefit assessment for each patient is required prior to treatment initiation.
Physical and Performance Characteristics of 3×3 Professional Male Basketball Players

Despite exponential growth in popularity over the last decade and recently becoming an Olympic sport, the amount of scientific literature focused on depicting a profile of successful 3×3 basketball players is sparse. Thus, the purpose of this study was to present the physical and performance characteristics of professional 3×3 male basketball players and how they differ between elite and non-elite athletes. The anthropometrics, vertical jump, agility, and sprint performance parameters collected from ten players during regular training sessions were (x¯ ± SD): height (193.7 ± 4.5 cm), weight (89.2 ± 4.1 cm), wingspan (196.5 ± 5.2 cm), squat jump (43.5 ± 4.6 cm), countermovement jump with (53.3 ± 4.4 cm) and without an arm swing (46.3 ± 4.0 cm), reactive strength index (2.4 ± 0.3 m/s), t-test (10.3 ± 0.3 s), 505 drill (2.4 ± 0.2 s), 10 m sprint (1.5 ± 0.1 s), 30 m sprint (4.0 ± 0.3 s), shuttle run (27.7 ± 1.7 s), and bench press (98.2 ± 10.0 kg) and back squat (139.5 ± 17.6 kg) one repetition maximum. Additionally, the average and maximal heart rate (HR) responses during simulated games were 160.6 ± 8.0 and 188.5 ± 6.3 bpm, with players spending 6.3 ± 4.2, 11.4 ± 5.2, 13.9 ± 3.5, 26.4 ± 10.4, and 42.1 ± 10.0% of the total time in HR Zones 1–5, respectively. Interestingly, no statistically significant differences in the aforementioned physical and performance parameters were noted between elite and non-elite players. Overall, the findings of the present study provide coaches, sports scientists, and strength and conditioning practitioners with information that can aid in the athlete selection process, detection of areas for further improvement, and development of training regimens that resemble 3×3 basketball on-court competitive demands.
The Observer Categorization Analysis

We introduce an observer who analyzes his measurements by slicing every measured state in the Hilbert space into two categories. We introduce a measuring device, namely an Hermitian operator, that, as an output evaluates the amount of certainty for each state to be a member in a category. Following a previous paper, we use the concept operator’s orthogonality to show that when an operator classifies a state to be well categorized, the orthogonal operator detects the categorization to be inappropriate in the state classification.
The Role of Non-resonant Effect in Terahertz Transmission through Subwavelength Holes

We study the role of non-resonant effect in enhanced transmission of terahertz pulses through periodic array of subwavelength holes. The measured terahertz transmission spectra exhibit a characteristic evolution with various hole widths. The peak transmission approaches a maximum value at a critical hole width, while monotonic linewidth broadening and blueshift are observed when the hole width increases. The physical mechanism responsible for such transmission properties is closely associated with the coupling between discrete resonant excitation of surface plasmons and continuum non-resonant transmission through the holes.
Input‐output linearization of general nonlinear processes

Two approaches are considered. The first approach is based on the original process model, while the second is based on an extended model that is control linear. Decoupling the output from measured and unmeasured disturbances is also investigated. The two approaches are evaluated via simulation for a chemical reactor model, in which the manipulated coolant flow rate appears nonlinearly.
Interactive identification protocol based on a quantum public-key cryptosystem

We propose two interactive identification protocols based on a general construction of quantum public-key cryptosystem. Basic protocol contains set-up phase and authentication phase. Participants do operation with quantum computing of Boolean function in two-round transmission of authentication phase. Basic one only ensures completeness and soundness, but leaks information about private-key. We modify basic protocol with random string and random Boolean permutation. After modification, both transmitted states in two-round transmission can be proved to be ultimate mixed states. No participant or attacker will get useful information about private-key by measuring such states. Modified protocol achieves property of zero-knowledge.
A Framework for Pilot Testing Health Risk Video Narratives

ABSTRACT Narrative messages may be superior to didactic messages when providing educational information due to their natural format for information sharing, ability to engage audiences, and engender positive thoughts about the message. Although narrative messages are gaining popularity in health promotion, little guidance exists regarding the development phase. Our team created a psychosocial narrative video intervention grounded in the Health Belief Model to increase breast cancer survivors’ attendance at genetic counseling after treatment. Here we report the use of Learner Verification (LV) during an iterative video development process. Using LV, we conducted individual semi-structured interviews with patients and providers, after they viewed the video. Demographic information was analyzed using descriptive statistics, and verbatim interview transcripts were used to conduct a two-phase qualitative content analysis. Patient and provider participants (n = 30) believed the video was attractive, relatable, and informative, and they identified areas for improvement including narrative coherence, changes to text and graphical information, and including more specific information. LV framework elicited audience feedback on the video intervention relevant to theoretical principles of narrative interventions, and highlighted audience preferences. In this study, LV interviews tapped into theoretical constructs of narratives and facilitated the iterative intervention design process.