Miracle-dz/UniFAR-FTUs huggingface dataset:
Envelope Glycoprotein Immunization Properties Revealed following HIV-1 Diverse Antibody Genetic and Recognition

Isolation of mAbs elicited by vaccination provides opportunities to deﬁne the development of effective immunity. Ab responses elicited by current HIV-1 envelope glycoprotein (Env) immunogens display narrow neutralizing activity with limited capacity to block infection by tier 2 viruses. Intense work in the ﬁeld suggests that improved Env immunogens are forthcoming, and it is therefore important to concurrently develop approaches to investigate the quality of vaccine-elicited responses at a higher level of resolution. In this study, we cloned a representative set of mAbs elicited by a model Env immunogen in rhesus macaques and comprehensively characterized their genetic and functional properties. The mAbs were genetically diverse, even within groups of Abs targeting the same subregion of Env, consistent with a highly polyclonal response. mAbs directed against two subdeterminants of Env, the CD4 binding site and V region 3, could in part account for the neutralizing activity observed in the plasma of the animal from which they were cloned, demonstrating the power of mAb isolation for a detailed understanding of the elicited response. Finally, through comparative analyses of mAb binding and neutralizing capacity of HIV-1 using matched Envs, we demonstrate complex relationships between epitope recognition and accessibility, highlighting the protective quaternary packing of the HIV-1 spike relative to vaccine-induced mAbs. The Journal of Immunology , 2015, 194: 000–000. of 5-fold blocking an initial concentration of 10 m g/ml and incubated for 1.5 h at The secondary Ab, HRP-conjugated goat anti-rhesus (Nordic-MUbio) or anti-human (Jackson ImmunoResearch Laboratories) IgG Fc g was added at 1:10,000 dilution in wash buffer followed by 1 h incubation at room temperature. After washing the wells six times with washing buffer, the Ab binding signal was developed for 5 min by adding 3,3 9 ,5,5 9 -tetrame-thylbenzidine (Life Technologies). The reaction was stopped by adding an equal volume of 1 M H 2 SO 4 . The absorbance or OD was measured at 450 nm. Binding were ﬁt by nonlinear regression using GraphPad Prism version 6 software.
Dynamic Effect of Last Glacial Maximum Ice Sheet Topography on the East Asian Summer Monsoon

The effect of ice sheet topography on the East Asian summer monsoon (EASM) during the Last Glacial Maximum is studied using CCSM3 in a hierarchy of model conﬁgurations. It is found that receding ice sheets result in a weakened EASM, with the reduced ice sheet thickness playing a major role. The lower ice sheet topography weakens the EASM through shifting the position of the midlatitude jet, and through altering Northern Hemisphere stationary waves. In the jet shifting mechanism, the lowering of ice sheets shifts the westerly jet northward and decreases the westerly jet over the subtropics in summer, which reduces the advectionof dry enthalpyand in turn precipitationover theEASMregion.In thestationarywave mechanism, the lowering of ice sheets induces an anomalous stationary wave train along the westerly waveguide that propagates into the EASM region, generating an equivalent-barotropic low response; this leads to reduced lower-tropospheric southerlies, which in turn reduces the dry enthalpy advection into East Asia, and hence the EASM precipitation.
FUEL DISPENSERS New generation of system for the metrological control of fuel dispensers

This article presents the new generation of the system for the metrological control of fuel dispensers. The new system is the result of research and development and subsequent practical implementation in the Slovak Legal Metrology Institute. The new generation of the system uses a high degree of automation, intelligent image processing, elements of artificial intelligence, and the application of innovative construction materials. The system enables metrological control of a wide range of measuring systems with a focus on the credibility and reliability of measurement results, measurement accuracy, and reducing the dispensers’ shutdown time during their metrological control. The added value is the ease use of the system and the short training time needed for metrological staff to use it.
The Impact of COVID-19 Crisis on Stock Markets' Statistical Complexity

The spread of the COVID-19 pandemic has severely impacted all aspects of social and economic life, including the evolution of stock markets. Thus, we advance a methodological framework suitable for assessing 2020 year-long shifts in markets’ statistical complexity, and we apply such framework to ten major international developed or emerging stock markets. Our research reveals that this crisis had considerably altered markets’ evolutionary patterns. The network description of markets’ multivocal transmission of complex responses changed in 2020, European and Asian markets playing a pivotal role. Nevertheless, an important regional and time heterogeneity emerges. In addition, we find that the total number of worldwide confirmed COVID-19 cases plays a leading role in the changes in markets’ complexity.
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback

We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lifelike Tasks (MineRL BASALT) Competition at the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). The goal of the competition was to promote research towards agents that use learning from human feedback (LfHF) techniques to solve open-world tasks. Rather than mandating the use of LfHF techniques, we described four tasks in natural language to be accomplished in the video game Minecraft, and allowed participants to use any approach they wanted to build agents that could accomplish the tasks. Teams developed a diverse range of LfHF algorithms across a variety of possible human feedback types. The three winning teams implemented significantly different approaches while achieving similar performance. Interestingly, their approaches performed well on different tasks, validating our choice of tasks to include in the competition. While the outcomes validated the design of our competition, we did not get as many participants and submissions as our sister competition, MineRL Diamond. We speculate about the causes of this problem and suggest improvements for future iterations of the competition.
Optimal Private Set Union from Multi-Query Reverse Private Membership Test

Private set union (PSU) protocol enables two parties, each holding a set, to compute the union of their sets without revealing anything else to either party. So far, there are two known approaches for constructing PSU protocols. The first mainly depends on additively homomorphic encryption (AHE), which is generally inefficient since it needs to perform a non-constant number of homomorphic computations on each item. The second is mainly based on oblivious transfer and symmetric-key operations, which is recently proposed by Kolesnikov et al. (KRTW, ASIACRYPT 2019). It features good practical performance, which is several orders of magnitude faster than the first one. However, neither of these two approaches is optimal in the sense that their computation and communication complexity are not both O ( n ), where n is the size of the set. Therefore, the problem of constructing the optimal PSU protocol remains open. In this work, we resolve this open problem by proposing a generic framework of PSU from oblivious transfer and a newly introduced protocol called multi-query reverse private membership test (mq-RPMT). We present two generic constructions of mq-RPMT. The first is based on symmetric-key encryption and general 2PC techniques. The second is based on re-randomizable public-key encryption. Both constructions lead to PSU with linear computation and communication complexity. By instantiating the generic constructions of mq-RPMT, we obtain two concrete PSU protocols based on SKE and PKE techniques respectively. We implement our two PSU protocols and compare them with the state-of-the-art PSU. Experiments show that our PKE-based protocol has the lowest communication of all schemes, which is 4 . 1 − 14 . 8 × lower depending on set size. The running time of our PSU scheme is 1 . 2 − 12 × faster than that of state-of-the-art depending on network environments.
Hypervelocity Impact Detection and Location for Stiffened Structures Using a Probabilistic Hyperbola Method

Hyper-velocity impact (HVI) caused by a collision between orbital debris and spacecraft exists widely in outer space, and it poses a threat to spacecraft. This paper proposes a probabilistic hyperbola method based on Lamb waves analysis to detect and locate the impact in stiffened aluminum (Al) plates. A hybrid model using finite element analysis (FEA) and smoothed particle hydrodynamics (SPH) was developed to gain an insight into characteristics of HVI-induced acoustic emission (AE) and shock wave propagation. In addition, an experimental validation was carried out with a two-stage light gas gun, giving an aluminum projectile a velocity of several kilometers per second. Then a quantitative agreement is obtained between numerical and experimental results, demonstrating the correctness of the hybrid model and facilitating the explanation of received AE signals in experiments. Signal analysis shows that the shock wave quickly converts to a Lamb wave as it propagates from the HVI spot, and the zeroth-order symmetric wave mode (S0) dominates wave signal energy. The S0 wave is dispersive and shows a wide frequency range, with dominant magnitudes below 500 kHz. Finally, the HVI experiment results obtained with a light gas gun showed that the average location error could be less than 1 cm with only four sensors for a 1-square-meter stiffened metal plate.
Designing a Metadata-Enabled Namespace for Accessing Resources Across Domains

As Stephen DeRose noted in 1997, "Navigation requires naming, as does access whether by database, catalog, finding aid, or hypertext link. Choosing the right names for information units is perhaps the most crucial issue facing the electronic document community" (p.301). While recent work emanating from the World Wide Web Consortium (W3C) has focused on the.
Phytochemical Analysis Of Momordica Dioica Root Extracts

A lot of medicinal plants, traditionally used for thousands of years, are present in a group of herbal preparations of the Indian traditional health Care system (Ayurveda) named Rasayana proposed for their interesting Antioxidant activity and potential therapeutic properties. The present paper reports the qualitative and quantitative phytochemical studies of Momordica dioica which is a perennial, dioceous climbing creeper belonging to family Cucurbitaceae. This is climbing creeper generally found in India, Pakistan, Bangladesh, Himalayas to Ceylon, Brazil, China, Africa etc. The phytochemical study in root extract of Momordica dioica which belongs to the Cucurbitaceae family is a valuable in all nutritional parameters. The qualitative phytochemical analysis showed the presence of pytochemicals such as Phenols, Saponins, Alkaloids, Flavonoids, Cardiac glycosides, Tannins, Carbohydrates, Terpenoids and Steroids in petroleum ether and acetone root extracts of Momordica dioica.
qu an tph ] 1 5 A pr 2 02 2 A new entanglement measure based dual entropy

Quantum entropy is an important measure for describing the uncertainty of a quantum state, more uncertainty in subsystems implies stronger quantum entanglement between subsystems. Our goal in this work is to quantify bipartite entanglement using both von Neumann entropy and its complementary dual. We first propose a type of dual entropy from Shannon entropy. We define S -entropy entanglement based on von Neumann entropy and its complementary dual. This implies an analytic formula for two-qubit systems. We show that the monogamy properties of the S -entropy entanglement and the entanglement of formation are inequivalent for high-dimensional systems. We finally prove a new type of entanglement polygon inequality in terms of S -entropy entanglement for quantum entangled networks. These results show new features of multipartite entanglement in quantum information processing.
Special Section on Bile Acids, Drug Metabolism, and Toxicity Effects of Overexpression of Fibroblast Growth Factor 15/19 on Hepatic Drug Metabolizing Enzymes S

Fibroblast growth factors 15 (FGF15) and 19 (FGF19) are endocrine growth factors that play an important role in maintaining bile acid homeostasis. FGF15/19-based therapies are currently being tested in clinical trials for the treatment of nonalcoholic steatohepatitis and cholestatic liver diseases. To determine the physiologic impact of long-term elevations of FGF15/19, a transgenic mouse model with overexpression of Fgf15 ( Fgf15 Tg) was used in the current study. The RNA sequencing (RNA-seq) analysis revealed elevations of the expression of several genes encoding phase I drug metabolizing enzymes (DMEs), including Cyp2b10 and Cyp3a11 , in Fgf15 Tg mice. We found that the induction of several Cyp2b isoforms resulted in increased function of CYP2B in microsomal metabolism and pharmacokinetics studies. Because the CYP2B family is known to be induced by constitutive androstane receptor (CAR), to determine the role of CAR in the observed inductions, we crossed Fgf15 Tg mice with CAR knockout mice and found that CAR played a minor role in the observed alterations in DME expression. Interestingly, we found that the overexpression of Fgf15 in male mice resulted in a phenotypical switch from the male hepatic expression pattern of DMEs to that of female mice. Differences in secretion of growth hormone (GH) between male and female mice are known to drive sexually dimorphic, STAT5b-dependent expression patterns of hepatic genes. We found that male Fgf15 Tg mice presented with many features similar to GH deficiency, including lowered body length and weight, Igf-1 and Igfals expression, and STAT5 signaling.
Gastric Residual Volume measurement in UK paediatric intensive care units: a survey of practice

Objective— Despite little evidence, the practice of routine measurement of gastric residual volume to guide both the initiation and delivery of enteral feeding in pediatric intensive care units is widespread internationally. In light of increased scrutiny of the evidence surrounding this practice, and as part of a trial feasibility study, we aimed to determine enteral feeding and Gastric Residual Volume (GRV) measurement practices in United Kingdom (UK) Pediatric Intensive Care Units (PICUs). Design— An online survey to 27 United Kingdom Pediatric Intensive Care Units Setting— United Kingdom Pediatric Intensive Care Units Subjects— A clinical nurse, senior doctor and dietician were invited to collaboratively complete one survey per PICU and send a copy of their unit guidelines on enteral feeding and GRV. Interventions— None Main Results— 24/27 (89%) units approached completed the survey. Twenty-three units (95.8% 23/24) had written feeding guidelines and 19 units (19/23 83%) sent their guidelines for review. More units fed continuously (15/24 62%) than intermittently (9/24 37%) via the gastric route as their primary feeding method. All but one PICU routinely measured GRV, regardless of the method of feeding. Eighteen units had an agreed definition of feed tolerance, and all these included GRV. GRV thresholds for feed tolerance were either volume based (ml/kg body weight) (11/21 52%) or a percentage of the volume of feed administered (6/21 29%). Yet only a third of units provided guidance about the technique of GRV measurement. Conclusions— Routine GRV measurement is part of standard practice in UK PICUs, with little guidance provided about the technique which may impact the accuracy of GRV. All PICUs that defined feed tolerance included GRV in the definition. This is important to know when proposing a standard practice arm of any future trial of no routine GRV measurement in critically ill children.
Non-invasive Detection and Compression of Fetal Electrocardiogram Non-invasive Detection and Compression of Fetal Electrocardiogram

Noninvasive detection of fetal electrocardiogram (FECG) from abdominal ECG record- ings is highly dependent on typical statistical signal processing techniques such as independent component analysis (ICA), adaptive noise filtering, and multichannel blind deconvolution. In contrast to the previous multichannel FECG extraction methods, several recent schemes for single-channel FECG extraction such as the extended Kalman filter (EKF), extended Kalman smoother (EKS), template subtraction (TS), and support vector regression (SVR) for detecting R waves on ECG, are evaluated via the quantitative metrics such as sensitivity (SE), positive predictive value (PPV), F -score, detection error rate (DER), and range of accuracy. A correlation predictor that combines with multivar- iable gray model (GM) is also proposed for sequential ECG data compression, which displays better percent root mean-square difference (PRD) than those of Sabah ’ s scheme for fixed and predicted compression ratio (CR). Automatic calculation on fetal heart rate (FHR) on the reconstructed FECG from mixed signals of abdominal ECG recordings is also experimented with sample synthetic ECG data. Sample data on FHR and T/QRS for both physiological case and pathological case are simulated in a 10-min time sequence.
Fault-Tolerant Deep Learning: A Hierarchical Perspective

With the rapid advancements of deep learning in the past decade, it can be foreseen that deep learning will be continuously deployed in more and more safety-critical applications such as autonomous driving and robotics. In this context, reliability turns out to be critical to the deployment of deep learning in these applications and gradually becomes a first-class citizen among the major design metrics like performance and energy efficiency. Nevertheless, the back-box deep learning models combined with the diverse underlying hardware faults make resilient deep learning extremely challenging. In this special session, we conduct a comprehensive survey of fault-tolerant deep learning design approaches with a hierarchical perspective and investigate these approaches from model layer, architecture layer, circuit layer, and cross layer respectively.
Multiband Emission Properties of 1ES 1959+650

We have systemically studied the properties of 1ES 1959+650, specifically its multiband variability and emission mechanisms. We carefully analyze multiband variability properties by four different kinds of trusted approaches. In contrast with previous research and thanks to our more detailed data, we find that an unprecedented significant quasi-periodic component with timescale P=266.2−7.2+7.5 in the optical R band indeed exists. We suggest that this light curve may result from accretion flow instabilities. Further, among the multiband spectra, we find no significant correlation between different bands, which implies that the physical origin of the dominant radiation for different bands is not the same. Motivated by these results, we go on further to study the radiation mechanisms based on quasi-simultaneous spectra. Here, a model that self-consistently involves protons, electrons, and photons is used to study the light curve and interpret the spectral energy distribution of 1ES 1959+650. Considering the variability properties and model calculation, we suggest that the variation of the cutoff energy of electrons and protons may dominate the variability of X-ray and γ-ray bands in 1ES 1959+650.
Study on filling patterns of engineering polymers In geometrically balanced injection molds

Filling patterns and imbalances which occur during injection molding of engineering plastics, Polyoxymethylene and Polyamide 6.6, have been studied. Four different geometries of runner systems have been applied for experimentation. Autodesk Moldflow software has been used for FEM simulations of imbalance phenomenon. Evolution strategies has been suggested for optimization of runner systems in multi-cavity injection molds.
On the Metrology of Nanoscale Silicon Transistors above 100 GHz

T HIS thesis presents the theoretical and experimental framework for the development of accurate on-wafer S-parameter and noise parameter measurements of silicon devices in the upper millimetre-wave frequency range between 70 GHz and 300 GHz. Novel integrated noise parameter test setups were developed for nanoscale MOSFETs and SiGe HBTs and validated up to 170 GHz. In the absence of accurate foundry models in this frequency range, the experimental findings of this thesis have been employed by other graduate students to design the first noise and input impedance matched W and D-band low-noise amplifiers in nanoscale CMOS and SiGe BiCMOS technologies. The results of the D-band S-parameter characterization techniques and of the new Y -parameter based noise model have been used by STMicroelectronics to optimize the SiGe HBT structure for applications in the D-band. In the first half of the thesis, theoretical analysis indicates that, for current silicon devices, distributive effects in test structure parasitics will become significant only beyond 300 GHz. This conclusion is supported by experiments which compare the lumped-element based open-short and the transmission line based split-thru de-embedding techniques to the multiline thru-reflectline (TRL) network analyzer calibration algorithm. Electromagnetic simulations and measurements up to 170 GHz demonstrate that, for microstrip transmission lines with metal ground plane placed above the silicon substrate, the line capacitance per unit length remains a weak function of frequency. Based on this observation, the multiline TRL algorithm has been modified to include a dummy short de-embedding structure. This allowed for the first time to perform single step calibration and de-embedding of
A Dual Stream Model for Anti-infrared Decoys: Exploiting Interaction and Contextual Relationship

The infrared decoy jamming release process has spatio-temporal correlation. In order to mine the spatio-temporal correlation between target and decoys, we propose a dual stream model for anti-decoys based on graph convolutional network and long short-term network. The method proposed models the interaction relationship of the target and decoys, and combines contextual information to infer the real target. Experimental results on our prepared dataset with ground truth labels demonstrate that the algorithm proposed outperforms existed anti-decoy jamming methods in various metrics.
Host Plant Species Of The New Invasive Pest, Fall Armyworm (Spodoptera Frugiperda) In South Sumatra

The new invasive pest, fall armyworm (Spodoptera frugiperda) has been found in West Sumatra since March 2019 and also found in South Sumatera. S. frugiperda has attacked a lot of host plant species. A record of the fall armyworm host plant species is required to comprehend pest’s biology and ecology. The purpose of this study was to identify the host plant species of S. frugiperda. The surveys to collect and to record the host plants have been conducted in South Sumatra consisted of seven districts/cities of Ogan Ilir, Palembang, Lahat, Pagar Alam, Prabumulih, Muara Enim, and Banyuasin. This study has found 28 species of S. frugiperda host plants, such as Zea mays, Elaeis guineensis, Oryza sativa, Lactuca sativa, Brassica oleracea, Amaranthus hybridus, Cucumis sativus, Manihot esculenta, Vigna unguiculata, Arachis hypogaea, Persea americana, Fragaria ananassa, Rosa sp. , Ipomoea aquatic, Ipomoea batatas, Solanum melongena. S. frugiperda host plants recorded were 14 plant families, specifically Areceae, Cyperaceae, Poaceae, Musaceae, Asteraceae, Brassicaceae, Amaranthaceae, Cucurbitaceae, Euphorbiaceae, Fabaceae, Lauraceae, Rosaceae, Convolvulaceae, and Solanaceae. There were 13 species of monocot plants and 15 species of dicot plants that can be eaten by S. frugiperda. So, the S. frugiperda has lots of host plant species including monocotyledonous and dicotyledonous plants.