Miracle-dz/UniFAR-FTUs huggingface dataset:
A Potent SARS-CoV-2 Neutralizing Human Monoclonal Antibody That Reduces Viral Burden and Disease Severity in Syrian Hamsters

The emergence of COVID-19 has led to a pandemic that has caused millions of cases of disease, variable morbidity and hundreds of thousands of deaths. Currently, only remdesivir and dexamethasone have demonstrated limited efficacy, only slightly reducing disease burden, thus novel approaches for clinical management of COVID-19 are needed. We identified a panel of human monoclonal antibody clones from a yeast display library with specificity to the SARS-CoV-2 spike protein receptor binding domain that neutralized the virus in vitro. Administration of the lead antibody clone to Syrian hamsters challenged with SARS-CoV-2 significantly reduced viral load and histopathology score in the lungs. Moreover, the antibody interrupted monocyte infiltration into the lungs, which may have contributed to the reduction of disease severity by limiting immunopathological exacerbation. The use of this antibody could provide an important therapy for treatment of COVID-19 patients.
The Effect of Asymmetry on Strain Distribution, Microstructure and Texture of Multilayer Aluminum Composites Formed by Roll-Bonding

AA1050/AA7050 multilayered composite sheets with a proportion of 1:1 were produced by Accumulative Roll Bonding (ARB) and Asymmetric Accumulative Roll-Bonding (AARB), using up to 8 cycles and intermediate annealing treatments at 500°C. The main purpose was to produce one composite sheet with high strength and moderate ductility, taking advantage of the mechanical properties of these aluminum alloys. Microstructural features were investigated in order to evaluate the potential to achieve a refined microstructure and the development of structural patterns. The strain distributions as a function of friction and asymmetry were simulated by finite element analysis. Texture was evaluated by X-ray diffraction and electron backscatter diffraction. A continuous layer pattern was obtained by ARB, up to 6 cycles but after 8 cycles shear bands fragmented the harder layers. In the early AARB cycles, the bending and necking of the AA7050 layers yielded a wavy-pattern. The shear strain in the AARB process has a strong influence on achieving a wavy-pattern, more than the flow stress differences of the alloys in the composite. Shear texture increased with the degree of the layers’ discontinuity. Different sources of shear contributed to the formation of microstructural patterns: the shear due to asymmetry, the frictional shear at roll-sheet interface and at the central layer interface and the shear at the layers’ interface. In addition, the ARB process achieved a better interfacial adhesion at the middle interface and higher strength and elongation than the AARB process.
A Review on Industrial Surface Defect Detection Based on Deep Learning Technology

In recent years, with the rapid development of deep learning, computer vision technology based on convolutional neural network (CNN) is widely used in industrial fields. At present, surface defect detection by machine vision is one of the most mature applications of CNN in industry. This paper provides a comprehensive overview of deep learning in the field. First of all, we briefly introduce the major tasks of CNN in computer vision researches, including image classification, object detection, edge detection and image segmentation, which are frequently used techniques in surface defect inspection. After that, we describe in detail the applications of computer vision based on CNN models in a variety of industrial scenarios for surface defect detection tasks, which mainly cover the steel surface defect inspection, magnetic tile surface defect inspection, rail surface defect inspection, screen surface detect inspection, solar cell surface defect inspection, and some others. As an emerging representative of artificial intelligence technology, we believe that deep learning will gradually become one of the mainstream technologies for industrial vision in the future. Accordingly, this paper aims to present a reference and guidance for researchers in industry to apply the advanced technology of deep learning.
Tourism and Livable Towns Beyond the Coronavirus Disease 2019: A Case Study for Chongqing, China

Based on the data of 812 small towns in Chongqing, China, this paper attempts to conduct an empirical analysis on whether tourist towns with excellent natural environment, policy advantage, and market preference are more ecologically livable than ordinary small towns. It is found that as a whole, tourist towns are indeed more ecologically livable than ordinary small towns. Also, from the perspective of grading, both the national and provincial tourist towns have the advantage of ecological livability, but the advantage of national ones is more prominent. Furthermore, the ecological livability of tourist towns is affected by location advantage and policy inclination. The implications of the results are discussed following the outcomes of the coronavirus disease 2019 outbreak. The suggestions beyond the coronavirus disease 2019 are also provided.
Transthoracic echocardiographic versus cardiometry derived indices in management of septic patients

ABSTRACT Background: Sepsis and sepsis shock are leading causes of mortality around the world. Early identification, proper management and close monitoring are associated with improved patient outcomes. Echocardiography allows proper monitoring of fluid-guided therapy and early identification of patients requiring vasopressors and inotropic drugs, although it requires special training and has some limitations. This study aims to compare echocardiography (echo) derived indices to cardiometry-derived indices in management of septic patients. Methods: This prospective, randomized study was carried out on 90 patients with sepsis. The patients were divided into three groups: cardiometry group, which included those who underwent evaluation by the electrical cardiometry monitor; echo group, which included patients who underwent resting transthoracic echocardiography; and early goal-directed therapy (EGDT) group, which included those who received intravenous fluid. Thirty-day mortality was recorded, in addition to total infused fluid, total dose of vasopressor and inotrope, mechanical ventilation (MV) duration, and the intensive care unit (ICU) and hospital stay period. Results: Mortality in echo and cardiometry-guided therapy was significantly lower than in the EGDT group. There was significantly higher norepinephrine and dobutamine doses, prolonged time to weaning of vasopressors, MV, longer ICU and hospital stay duration in echo and cardiometry groups compared to the EGDT group. On the other hand, all measurements were comparable in echo and cardiometry groups. Conclusion: Evidence supports the usefulness of echocardiogram-guided treatment, similar to cardiometry hemodynamic management. However, cardiometry showed the advantage of being a simple and noninvasive technique that does not require a trained cardiologist. Trial registration: Pan African clinical trial registry on 08/05/2019 with unique identification number: PACTR201911842779294.
Nature in Your Face – Disruptive Climate Change Communication and Eco-Visualization as Part of a Garden-Based Learning Approach Involving Primary School Children and Teachers in Co-creating the Future

The paper describes an innovative structured workshop methodology in garden-based-learning (GBL) called “Nature in Your Face” (NiYF) aimed at provoking a change in citizens behavior and engagement as a consequence of the emotional activation in response to disruptive artistic messages. The methodology challenges the assumption that the change needed to meet the carbon targets can be reached with incremental, non-invasive behavior engineering techniques such as nudging or gamification. Instead, it explores the potential of disruptive communication to push citizens out of their comfort zones and into creative modes of re-creating futures. This is done by confronting us with consequences of consumption by means of art and eco-visualizations. The aim being to achieve awareness, mental flexibility, and spurring debate. Thus, we invite them to react – and act upon these reactions by communicating their feelings or thoughts. This is used as an entrance point for broader and/or deeper engagement in a structured three-step methodology; (1) Framing: A disruptive element is introduced into the local environment. This triggers an emotional reaction, which then is taken up in a process of framing the problem and working with solutions. (2) Twisting: in a guided process, the initial energy from the emotional confrontation is twisted into a creative exploration of innovative solutions, from the perspective of the children. (3) Using: The last stage is using the developed solutions in the local social system (or refining them further). The methodology is being applied in cooperation with a primary school, and is iteratively adjusted and evaluated in a formative, action-research based approach scenario. NiYF is to stimulate societal engagement through deliberately confronting stakeholders with unexpected and potentially upsetting appearances of nature, climate effects, or carbon-neutral lifestyle scenarios. We have verified the practical usefulness and potential of the methodology and found that NiYF triggers societal engagement and transition, negotiating responsibilities and unlocking action potentials. We also found that eco-anxiety, denial, self-efficacy and cognitive dissonance form children’s understanding of plastic. The project marks a paradigm shift from creating knowledge to using knowledge to create action, and a focus on learning from evaluating and adapting the approach in the field.
How laypersons consider differences in sources’ trustworthiness and expertise in their regulation and resolution of scientific conflicts

ABSTRACT When reading scientific information on the Internet laypersons frequently encounter conflicting claims. However, they usually lack the ability to resolve these scientific conflicts based on their own prior knowledge. This study aims to investigate how differences in the trustworthiness and/or expertise of the sources putting forward the conflicting claims affect laypersons’ explanation and resolution of the scientific conflict. We sequentially presented 144 participants with two conflicting scientific claims regarding the safety of nanoparticles in sunscreen and manipulated whether the scientists putting forward the claims differed in their trustworthiness and/or expertise. After having read the claims on a computer in a self-paced manner, participants rated their subjective explanations for the conﬂicting claims, assessed their personal claim agreement, and completed a source memory task. We examined how differences in source trustworthiness and source expertise affected these measures. Results showed that trustworthiness differences resulted in higher attribution of the conflict to motivational explanations, and expertise differences in higher attribution of the conflict to competence explanations, than without respective differences. Furthermore, main effects of trustworthiness differences and of expertise differences on readers’ claim agreement were shown, with participants agreeing more with claims from sources of higher trustworthiness or expertise.
The influence of proton pump inhibitor therapy on the outcome of infliximab therapy in inflammatory bowel disease: a patient-level meta-analysis of randomised controlled studies

Objective In treating patients with inflammatory bowel disease (IBD), how concomitant medications influence the response to infliximab is largely unexplored. We aim to evaluate whether proton pump inhibitors (PPIs) affect the response to infliximab therapy in patients with IBD. Design Patient-level data of adult patients with moderate-to-severe IBD treated with infliximab were obtained from the Yale Open Data Access Framework. Multivariable analysis and propensity score-matched analysis were performed to assess week 30 remission rates, week 54 remission rates and hospitalisation rates in patients on infliximab therapy with and without PPI exposure. Results Among the five randomised controlled studies, there were 147 and 889 patients on infliximab with and without PPI therapy, respectively. Patients on PPI were older, more likely to be Caucasian and were less likely to be on immunomodulator therapy. Patients on PPI were significantly less likely to achieve week 30 remission on multivariable analysis (OR 0.45, p<0.001). Following propensity score matching adjusting for baseline difference in patient characteristics, the week 30 remission rates were 30% and 49% in patients with and without PPI therapy, respectively (p<0.001). Analysing separately for disease, the findings remained statistically significant in Crohn’s disease but did not reach significance in UC. Similar results were seen with week 54 remission rates. Patients on PPI were also more likely to be hospitalised (15% vs 8%, p=0.007). Rates of adverse events such as gastroenteritis were not different between the two groups. Conclusion In this patient-level meta-analysis of randomised controlled studies, we found that patients with IBD taking PPI were less likely to achieve remission while on infliximab therapy. The results of our study warrant further investigation into the effect of PPI on IBD outcomes and therapies.
The effects of cross‐linking on the equation of state of a polymer solution

Measurements of the swelling pressure ω and shear modulus Gs in a set of poly(vinyl acetate) networks swollen to different degrees in toluene and in acetone are reported, using solutions of the uncross‐linked polymer to obtain deswelling under known conditions of osmotic pressure. The swelling pressure can be completely described by the difference between two terms, each of which is a simple power law in the polymer volume fraction φ. Identification of the subtractive term with that related to the elastic free energy of the network gives the volume elastic modulus Gv. The shear modulus Gs, obtained from mechanical measurements at constant volume, and Gv are found to coincide for these samples, and neither deviates measurably from a one‐third power law dependence on φ, up to values of φ in excess of 0.4. The remaining term in the swelling pressure of the networks behaves like the mixing term in a polymer solution, obeying good solvent scaling predictions as a function of concentration in both diluents. It.
A Fitts’ Law Evaluation of Visuo-haptic Fidelity and Sensory Mismatch on User Performance in a Near-field Disc Transfer Task in Virtual Reality

The trade-off between speed and accuracy in precision tasks is important to evaluate during user interaction with input devices. When different sensory cues are added or altered in such interactions, those cues have an effect on this trade-off, and thus, they affect overall user performance. For instance, adding cues like haptic feedback and stereoscopic viewing will result in more realistic user interaction, thus improving performance in these tasks. Also, adding a noticeable disparity between physical and virtual movements creates a mismatch between visual and proprioceptive systems, which generally has a negative effect on performance. In this study, we investigate the effects of haptic feedback, stereoscopic viewing, and visuo-proprioceptive mismatch on how quickly and accurately users complete a virtual pick-and-place task using the PHANToM OMNI. Through this experiment, we find that in the movement phase of a ring transfer, movement time and user performance are affected by haptic feedback and visuo-proprioceptive mismatch, and the main effects of stereoscopic viewing appears to be limited to the more precise step when the ring is around the target peg.
Problem C: GPU Accelerated Logic Re-simulation : (Invited Talk)

Logic “re” -simulation can be defined as gate level simulation where the input waveforms at every primary input and pseudo-primary input (such as register/RAM outputs) are known. Such waveforms could come from the unit's RTL simulation trace or Automatic Test Pattern Generation (ATPG) vectors. This type of simulation is useful in doing functional verification on gate level netlists and power analysis, since we can take the known trace on all primary and pseudo-primary inputs, re-simulate the trace using propagation of signals through timing-aware gate-level combinational logic, and verify that results at the primary and pseudo-primary outputs match the reference RTL simulation results. However, gate level simulation is usually much slower than RTL simulation. Thus, there is motivation for faster solutions. In this contest, we ask contestants to use Graphic Processing Units (GPUs) to speedup the re-simulation task.
Pore Development and Moisture Transfer in Chicken Meat during Deep-Fat Frying

Abstract Changes in the structure of food products play important role in the various mass transfer processes during deep-fat frying. The relationship between moisture loss and pore formation were investigated at frying oil temperatures of 170, 180, and 190°C and frying times up to 900 s. Porosity and pore structure were characterized by using mercury intrusion porosimetry and helium displacement pycnometer. Moisture transfer in the samples was modeled using Fick's law and effective moisture diffusivity was computed from experimental data. Pore formation changes significantly (P < 0.01) in time as modulated by frying oil temperature. A peak pore fraction of 0.283 (after 360 s of frying), 0.238 and 0.220 (after 900 s of frying) at frying temperatures 190, 180 and 170°C, respectively was observed. Effective moisture diffusivity of 5.4 to 6.9 × 10−9 m2 s−1 and activation energy of 20 kJ/mol was obtained for the frying oil temperatures. Changes in pore structure influenced moisture diffusivity and oil uptake. Eighty-four percent of the pores are capillary pores, hence moisture transfer increased.
Raman, FT-IR spectroscopic analysis and first-order hyperpolarisability of 3-benzoyl-5-chlorouracil by first principles

3-Benzoyl-5-chlorouracil (3B5CU), a biologically active synthetic molecule, has been analysed at DFT/6-311+ + G(d,p) level and reported for the first time as a potential candidate for nonlinear optical (NLO) applications. The optimised skeleton of 3B5CU molecule is non-planar. The frontier orbital energy gap, dipole moment, polarisability and first static hyperpolarisability have been calculated. The first static hyperpolarisability is found to be almost 15 times higher than that of urea. The high value of first static hyperpolarisability (2.930 × 10− 30 e.s.u.) due to the intra-molecular charge transfer in 3B5CU has been discussed using first principles. A complete vibrational analysis of the molecule has been performed by combining the experimental Raman, FT-IR spectral data and the quantum chemical calculations. In general, a good agreement of calculated modes with the experimental ones has been obtained. The strong vibrational modes contributing towards NLO activity, involving the whole charge transfer path, have been identified and analysed.
Diffraction pattern and structure of amorphous solid water at 10 and 77 °K

X‐ray diffraction data show that there are at least two forms of amorphous solid water which differ in density and second nearest‐neighbor oxygen–oxygen distribution. (a) The lower density form, made at 77 °K, has a diffraction pattern consistent with a structure that has oxygen–oxygen nearest‐neighbor tetrahedral symmetry on average, and a nearest neighbor O–O separation of 2.76 A with small dispersion. The density of this material is estimated to be 0.94 g cm−3. While it is not possible to uniquely define the structure, the data available support the notion that its fundamental characteristic is the existence of a randomized network of hydrogen bonds with O–O–O angular distribution derived from (i.e., centered about) that of ice Ih. Comparison of neutron diffraction and x‐ray diffraction data suggests strongly that the first shell hydrogen bonds are nearly linear and that orientational correlations between water molecules are limited to nearest neighbors. (b) The higher density form, made at 10 °K, has .
Estimation of Molar Absorption Coefficients of HbA1c in Near UV-Vis-SW NIR Light Spectrum

Diabetes is a serious group of diseases that can cause many complicated problems including sudden mortality. Glycated hemoglobin tests are considered as a reliable tool to diagnose diabetes. To estimate amount of glycated hemoglobin (HbA1c) present in Red Blood Cells (RBCs) optically, the molar extinction coefficient of HbA1c is necessary. We calculate the molar extinction coefficient of HbA1c from percent transmittance spectrum of HbA1c dissolved in water, and scaled the values for a range with molar extinction coefficients of glycated hemoglobin at 535nm Green light and 593nm Yellow light references. We estimate the molar extinction coefficient in the range of 300nm to 1100nm, and we have got a characteristic peak of HbA1c at 411nm ( 5.20 × 10 ± 1.39 × 10 Mcm ) and two more peaks at 540nm ( 5.63 × 10 ± 1.51 × 10 Mcm) and 576nm ( 4.96 × 10 ±1.33 × 10 Mcm), respectively.
Experimental and theoretical studies of 2,5‐diphenyl‐1,4‐distyrylbenzenes with all‐cis‐ and all‐trans double bonds: chemical structure determination and optical properties

2,5-Diphenyl-l,4-distyrylbenzene (DPDSB) with all-cis (cis-DPDSB) and all-trans double bonds (trans-DPDSB) were synthesized by Wittig reaction and the differences in structural and optical properties between the cis- and trans-isomers are discussed in detail. Both compounds were fully characterized by NMR spectroscopy, FT-IR spectroscopy, x-ray crystallography, differential scanning calorimetry (DSC) and electrochemical methods. X-ray analysis and molecular simulation revealed that the structure of cis-DPDSB obviously deviates from planarity along both the distyrylbenzene and terphenyl directions, and less intermolecular interaction exists in crystal. The cisisomer shows a large blue shift in the absorption spectrum in comparison with that of the trans-isomer, and cyclic voltammetric measurements give bandgaps of 3.16 and 2.97 eV for cis- and trans-DPDSB, respectively. Both compounds show unusually strong blue fluorescence in the solid state, probably due to the weak intermolecular interaction existing in both isomers owing to the large steric hindrance induced by the substituted phenyl groups. DSC experiments determined that both isomers have excellent thermal stability, which indicates that they can be used as active layers to make stable devices. Quantum chemical calculations for the frontier molecular orbital and the cation and anion properties reveal that the HOMO and LUMO are completely localized in the distyrylbenzene direction and the distyrylbenzene segment has more sensitive electroactivity than the terphenyl segment whether it is cis- or trans-DPDSB.
Explicit solutions for dynamic portfolio choice in jump-diffusion models with multiple risky assets and state variables and their applications

This paper studies the optimal portfolio selection problem in jump-diffusion models where there are potentially a large number assets and/or state variables. More specifically, we derive closed form solution for the optimal portfolio weights up to solving a set of ordinary differential equations (ODEs). First, our results generalize Liu (2007) models by incorporating jumps in both stock returns and state variables. Second, we extend Jin and Zhang (2012) results by including jumps in state variables. To examine the effects of jump on an investor’s behavior, we then apply our results to two examples. In the first application, we propose a novel self-exciting jump intensity process in a double jump model and explicitly solve the optimal investments in variance swaps. The second application investigate the impact of jump in stock return on cash-bond-stock mix by revisiting the bond/stock ratio puzzle in a jump-diffusion model. JEL Classification: G11