Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development and Prospects of Virtual Reality

Virtual reality is an important developing direction of simulation technology,it is system simulation of interactive three-dimensional dynamic scenes and entity behavior for a multi source data fusion. From a new viewpoint, this paper puts forward and expatiates on the evolution of history and theory form of virtual reality from voiced kite that simulate flying animal of ancient China to flight simulator of modern American which they are invented, from Artificial Reality to Virtual Reality , from three key elements (Imagination, Interaction,Behavior) to three basic character (Imagination、Interaction、Immersion,3I) which they are proposed. The attribute and meanings of VR is first put to describe with the general formula. The feature of development in the virtual reality is summarized. The results and application on military affairs, engineering, medicine and culture are farther introduced. Finally the paper prospects for the development foreground of virtual reality and hot sport of future study.
Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification

Recently, remote-sensing scene classification has become an essential primary research topic. Nowadays, scholars have proposed various few-shot remote-sensing scene classification methods to achieve superior performance with few labeled data. Most of the prior work utilized a meta-learning strategy, which suffered from too little data affecting performance. In this letter, we apply the pre-trained feature extractor for image embedding. Meanwhile, because of the negative transfer problem caused by the inadaptability of the pre-trained feature extractor to remote-sensing data, we propose to exploit two pre-trained models to classify the remote-sensing scene, respectively. Then we fuse the decision to obtain the final classification category. We design a decision attention module to automatically update combination weights for each decision. It comprehensively considers the contribution of various decisions and further improves the discrimination of features. We conduct comprehensive experiments to validate the method and achieve state-of-the-art performance on two benchmark remote-sensing scene datasets, namely NWPU-RESISC45 and UC Merced.
Emigration and the Transnationalization of Sending States’ Welfare Regimes

How does emigration affect sending states’ welfare policies? Existing migration literature has identified numerous political, economic, and institutional variables that influence sending states’ approaches towards emigrants’ welfare. However, this literature has neglected broader processes of social transformation in sending states. Using the concept of welfare regime transnationalization, we show more precisely how emigration transforms welfare regimes in their functional, distributive, normative, and politico‐institutional dimensions. This process is nonetheless strongly constrained by domestic politics. To illustrate our analytical framework, we discuss the transnationalization of health policies in Turkey and Mexico.
Four new species of Ctenodrilus, Raphidrilus, and Raricirrus (Cirratuliformia, Annelida) in Japanese waters, with notes on their phylogenetic position

Four new species of annelids, Ctenodrilus japonicus sp. nov., Raphidrilus misakiensis sp. nov., Raphidrilus okinawaensis sp. nov., and Raricirrus anubis sp. nov., are described based on specimens collected from Japanese waters. Ctenodrilus japonicus sp. nov. inhabits the interstitial environment and can be distinguished from the other congeners by the following features: (i) total of 16 chaetigers, (ii) chaetigers 1–3 with stout hooks, (iii) minute body (approximately 1 mm in length), (iv) all parapodia with the same number of chaetae (two notochaetae; two neurochaetae), and (v) presence of dorsal and ventral papillae. Raphidrilus misakiensis sp. nov. lives under intertidal stones and can be distinguished from other congeners by having pectinate neurochaetae. Raphidrilus okinawaensis sp. nov. inhabits the interstitial environment and can be distinguished from other congeners by: (i) absence of annulation on the peristomium and achaetous segment and (ii) presence of a heart body in chaetigers 4–5. Raricirrus anubis sp. nov. inhabits whale bones and can be distinguished from other congeners by the following features: (i) presence of a heart body in chaetigers 9–14, (ii) presence of capillary neurochaetae on chaetiger 1, and (iii) presence of simple curved spines. A phylogenetic tree based on partial sequences of cytochrome c oxidase subunit I and 16S rRNA from the new species and other cirratulid worms showed that Raphidrilus is included in Cirratuliformia. This is the first record of Raphidrilus and Raricirrus from Japanese waters.
When fashion meets crowdfunding: exploring sustainable and innovative features of online campaigns

PurposeThis paper analyses the factors that make fashion-product crowdfunding campaigns successful. The authors argue that crowdfunding is an innovative and functional way of bringing new fashion items to the market. The purpose of this paper is to answer the question whether product innovation, lifecycle and sustainability have a positive effect on the success of fashion crowdfunding campaigns. The findings highlight that the success of the fashion crowdfunding campaigns depends on creators' adherence to the values of the platform which they use to raise capital.Design/methodology/approachA total of 300 fashion crowdfunding projects running between the 17th of October and the 15th of December 2017 were collected from Kickstarter – the world's largest crowdfunding platform based on reward-based all-or-nothing model. Two-step binomial logistic regression was used to analyse the data.FindingsThe model predicted a significant increase in the odds of success for the fashion items crowdfunded during the first-time production, and innovative and environmentally sustainable products with a higher price range of rewards. In line with previous literature, regression analyses predicted a significant effect of the control variables of goal amount (negative) and the number of rewards (positive). Contrary to previous studies, neither the presence of a video nor the campaign length predicted success.Originality/valueThe novel findings of this study contribute to the literature by providing an analysis of success factors of fashion items on crowdfunding platforms. The results show that innovative, environmentally sustainable and higher-priced products produced by early-stage ventures are better welcomed by the audiences.
Deep Facade Parsing with Occlusions

Correct facade image parsing is essential to the semantic understanding of outdoor scenes. Unfortunately, there are often various occlusions in front of buildings, which fails many existing methods. In this paper, we propose an end-to-end deep network for facade parsing with occlusions. The network learns to decompose an input image into visible and invisible parts by occlusion reasoning. Then, a context aggregation module is proposed to collect nonlocal cues for semantic segmentation of the visible part. In addition, considering the regularity of man-made buildings, a repetitive pattern completion branch is designed to infer the contents in the invisible regions by referring to the visible part. Finally, the parsing map of the input facade image is generated by fusing the results of the visible and invisible results. Experiments on both synthetic and real datasets demonstrate that the proposed method outperforms state-of-the-art methods in parsing facades with occlusions. Moreover, we applied our method in applications of image inpainting and 3D semantic modeling.
Bounds, Benefits, and Bad Air: Welfare Impacts of Pollution Alerts

Though air-quality alert systems (AQAS) cover more than 1.7 billion people worldwide, there has been little welfare analysis of these systems. This paper presents a theoretical framework for deriving lower bounds on the net benefits of an AQAS and applies it to a South Korean system currently covering over 51 million people. Estimating a regression discontinuity design, we find that an alert issuance reduced youth respiratory expenditures by 30% and adult cardiovascular expenditures by 23%. The overall system reduced externalized health expenditures by 28.6 million dollars during 2016−2017, with a minimum benefit-cost ratio of 7.1:1. Including dynamic impacts of alerts increases the minimum benefits (benefit-cost ratio) to 36.7 million dollars (9.2:1). Our findings imply that the AQAS generates significant net benefits and suggests that manipulation of air quality data, which has been observed in other contexts, may negatively impact social welfare.
GiantVM: A Novel Distributed Hypervisor for Resource Aggregation with DSM-aware Optimizations

We present GiantVM,1 an open-source distributed hypervisor that provides the many-to-one virtualization to aggregate resources from multiple physical machines. We propose techniques to enable distributed CPU and I/O virtualization and distributed shared memory (DSM) to achieve memory aggregation. GiantVM is implemented based on the state-of-the-art type-II hypervisor QEMU-KVM, and it can currently host conventional OSes such as Linux. (1) We identify the performance bottleneck of GiantVM to be DSM, through a top-down performance analysis. Although GiantVM offers great opportunities for CPU-intensive applications to enjoy the aggregated CPU resources, memory-intensive applications could suffer from cross-node page sharing, which requires frequent DSM involvement and leads to performance collapse. We design the guest-level thread scheduler, DaS (DSM-aware Scheduler), to overcome the bottleneck. When benchmarking with NAS Parallel Benchmarks, the DaS could achieve a performance boost of up to 3.5×, compared to the default Linux kernel scheduler. (2) While evaluating DaS, we observe the advantage of GiantVM as a resource reallocation facility. Thanks to the SSI abstraction of GiantVM, migration could be done by guest-level scheduling. DSM allows standby pages in the migration destination, which need not be transferred through the network. The saved network bandwidth is 68% on average, compared to VM live migration. Resource reallocation with GiantVM increases the overall CPU utilization by 14.3% in a co-location experiment.
Short- and Long-Term Complications of Free Anterolateral Thigh Flap Reconstructions: A Single-Centre Experience of 92 Consecutive Cases

Background The anterolateral thigh (ALT) flap has been amongst the most versatile components of the reconstructive surgeon's armamentarium. The authors utilise these flaps for a variety of reconstructive procedures including lower limb reconstruction; postsarcoma excision; and open fractures. Few studies have discussed the extent of recipient site morbidity and subsequent revisional procedures. We will report our experience of the ALT flap in 92 consecutive reconstructions with focus on recipient site complications and revisional procedures. Methods Retrospective data collection was done from 92 patients who underwent ALT flap reconstruction—for various large soft tissue defects—at our unit at the Royal Free Hospital, London. We evaluated primary recipient site complications and the requirements for secondary operations after flap transfer. Results All flaps survived with the exception of 3 cases (97% survival rate) in which irreversible venous thrombosis was encountered. 16 of 92 patients (17%) required a second recipient site operation for the following: 7 patients experienced major recipient site complications that warranted early return to theatre and 9 patients required a secondary revision thinning procedure(s). 8 of the 16 patients (50%) requiring second operations had construction on their lower leg/ankle/feet (p value = 0.10). Conclusions Our data demonstrated effective use of the ALT flap in the management of soft tissue reconstructive surgery. Partial flap necrosis was the main complication at the recipient site. In future work, secondary thinning procedures, particularly at the ankle/foot, should be separated from flap-specific complications. Furthermore, we demonstrate tailoring ALT thickness can be performed safely without compromising flap viability.
On the Asymptotic Boundary Condition at the Free-Fluid/Porous-Medium Interface in Periciliary Layer due to the Ciliary Movement

The purpose of this study is to study the movement of the periciliary (PCL) fluid due to the ciliary locomotion. In this research, because the bundle of cilia is considered instead of a single cilium, Stokes–Brinkman equations in a macroscopic scale are employed to find the velocity of the PCL fluid. When the cilia are perpendicular to the horizontal plane, the PCL consists of only the cilia. The inclination of cilia (cilia make an angle θ θ < 90 ∘ to the horizontal plane) results in two different domains in the PCL, the regions comprising and not comprising cilia. The main objective of this study is to determine the appropriate boundary conditions of the velocity between these two regions where the PCL fluid is moved by self-propelled cilia rather than the pressure gradient. A matched asymptotic expansion method is applied to the Stokes–Brinkman equations to determine the constraints. Two boundary conditions at the interface are obtained and the velocity of the PCL fluid at the top of PCL can be used to be the boundary conditions at the bottom of the mucus layer to determine the velocity of mucus. This model can help engineers to build devices to treat patients who have problem with the respiratory system. Applications include modeling fluid flow through filters such as engine filter and rice fields.
A hybrid one‐class approach for detecting anomalies in industrial systems

The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows the supervision of the current state of an industrial plant and the consequent decision making possibilities. Then, the use of anomaly detection techniques are presented as a powerful tool to determine unexpected situations. The present research is based on the implementation of one‐class classifiers to detect anomalies in two industrial systems. The proposal is validated using two real datasets registered during different operating points of two industrial plants. To ensure a better performance, a clustering process is developed prior the classifier implementation. Then, local classifiers are trained over each cluster, leading to successful results when they are tested with both real and artificial anomalies. Validation results present in all cases, AUC values above 90%.
Hyperinflammatory Syndrome, Natural Killer Cell Function, and Genetic Polymorphisms in the Pathogenesis of Severe Dengue

Abstract Background Severe dengue, characterized by shock and organ dysfunction, is driven by an excessive host immune response. We investigated the role of hyperinflammation in dengue pathogenesis. Methods Patients recruited into an observational study were divided into 3 plasma leak severity grades. Hyperinflammatory biomarkers were measured at 4 time points. Frequencies, activation, and cytotoxic potential of natural killer (NK) cells were analyzed by flow cytometry. RNA was extracted from sorted CD56+ NK cells and libraries were prepared using SMART-Seq and sequenced using HiSeq3000 (Illumina). Results Sixty-nine patients were included (grade 0, 42 patients; grade 1, 19 patients; grade 2, 8 patients). Patients with grade 2 leakage had higher biomarkers than grade 0, including higher peak ferritin levels (83.3% vs 45.2%) and H-scores (median, 148.5 vs 105.5). NK cells from grade 2 patients exhibited decreased expression of perforin and granzyme B and activation markers. RNA sequencing revealed 3 single-nucleotide polymorphisms in NK cell functional genes associated with more severe leakage—NK cell lectin-like receptor K1 gene (KLRK1) and perforin 1 (PRF1). Conclusions Features of hyperinflammation are associated with dengue severity, including higher biomarkers, impaired NK cell function, and polymorphisms in NK cell cytolytic function genes (KLRK1 and PRF1). Trials of immunomodulatory therapy in these patients is now warranted.
Medicarpin confers powdery mildew resistance in Medicago truncatula and activates the salicylic acid signalling pathway

Abstract Powdery mildew (PM) caused by the obligate biotrophic fungal pathogen Erysiphe pisi is an economically important disease of legumes. Legumes are rich in isoflavonoids, a class of secondary metabolites whose role in PM resistance is ambiguous. Here we show that the pterocarpan medicarpin accumulates at fungal infection sites, as analysed by fluorescein‐tagged medicarpin, and provides penetration and post‐penetration resistance against E. pisi in Medicago truncatula in part through the activation of the salicylic acid (SA) signalling pathway. Comparative gene expression and metabolite analyses revealed an early induction of isoflavonoid biosynthesis and accumulation of the defence phytohormones SA and jasmonic acid (JA) in the highly resistant M. truncatula genotype A17 but not in moderately susceptible R108 in response to PM infection. Pretreatment of R108 leaves with medicarpin increased SA levels, SA‐associated gene expression, and accumulation of hydrogen peroxide at PM infection sites, and reduced fungal penetration and colony formation. Strong parallels in the levels of medicarpin and SA, but not JA, were observed on medicarpin/SA treatment pre‐ or post‐PM infection. Collectively, our results suggest that medicarpin and SA may act in concert to restrict E. pisi growth, providing new insights into the metabolic and signalling pathways required for PM resistance in legumes.
WRRIST: a wearable, rapid, and real-time infection screening tool for dual-mode detection of inflammatory biomarkers in sweat

This paper presents a novel, lightweight, integrated, and wearable sensor for real-time and multiplexed monitoring of biomarkers in sweat. We report a wearable skin patch made with a benchtop craft cutter, thereby resulting in low-cost, roll-to-roll, and cleanroom-free fabrication. The integrated device is wearable on the arm like a small flexible bandage that is comprised of a microfluidic channel and a dual-modality transducer. The microfluidic channel ensures fast, continuous, and reproducible sweat transport from the skin to the sensors while minimizing the evaporation and contamination of sweat droplets. The transducer generates both electrochemical and fiber-optic based localized surface plasmon resonance (LSPR) signals on a single chip. Furthermore, sweat collection is noninvasive compared to other body fluids (e.g., blood, urine, or saliva), correlates well with blood biomarker levels, and bypasses diurnal rhythm challenges. Elevated levels of cytokines, including interleukin-6 (IL-6), predict chronic diseases including diabetes, heart disease, and therapeutic responses in fatigue, pain, and depression. The electrochemical sensor measures the IL-6 levels with a high sensitivity of 122.59 μA (pg/mL) -1 cm-2 and a limit of detection (LoD) of 0.886 fg/mL. The fiber-optic sensor exhibits LSPR shifts in response to varying IL-6 levels with a sensitivity of 0.87 % Log(ng/ml)-1 and LoD of 1.48 ng/ml. Our integrated sensor has the potential to overcome the challenges associated with the current infection/inflammation screening technology by detecting a low concentration of inflammatory biomarkers in sweat that is rich in physiological and metabolic information, providing multiplexed monitoring on a single chip, and utilizing a simple screen-printing technique for large-scale fabrication. This integrated sensor holds the potential to provide real-time feedback on the infection progression and allow on-demand drug delivery.
Search for a Two-Photon Exchange Contribution in inclusive DIS at sc hermes

The transverse-target single-spin asymmetry for inclusive deep-inelastic scattering with effectively unpolarized electron and positron beams off a transversely polarized hydrogen target was measured, with the goal of searching for a two-photon exchange signal in the kinematic range 0.004 < x < 0.9 and 0.1 GeV < Q < 20 GeV. In two separate regions Q > 1 GeV and Q < 1 GeV , and for both electron and positron beams, the asymmetries are found to be consistent with zero within statistical and systematic uncertainties, which are of order 10 for the overall asymmetries.
The influence of tool quality on the machining of additive manufactured and powder metallurgy titanium alloys

This study was carried out to investigate the impact the quality of the drill bits has on the machining behavior of additive manufacturing (AM) and powder metallurgy (PM) titanium alloys. Therefore, commercially available drill bits which typically reflect two extremes of drill bit quality were selected. The performance of coated carbide twist drills, typically recommended for the drilling of wrought titanium alloys was compared with that of high-speed steel (HSS) drills. The average torque value, specific cutting energy (SCE), and tool wear were used to evaluate the drilling performance of AM and PM titanium alloys. The results of drilling tests revealed the application of the coated carbide drill resulted in lower torque and SCE values, less flank wear, and lower build-up-edge (BUE) compared with the uncoated HSS drill bits for AM fabricated titanium alloys. However, the carbide drill appeared to offer negligible improvement over the uncoated HSS drill when employed with the PM fabricated titanium alloy. In spite of the improvement in the drilling performance offered by the carbide drills for the AM titanium alloy, TiB intermetallic particles (part of the AM titanium microstructure) contributed to the damage of the coated carbide drill which would limit the drill lifetime.
Labor Market, Distributive Gains and Cumulative Causation: Insights from the Brazilian Economy

ABSTRACT This paper investigates the impact of economic growth patterns on employment structure, highlighting the effects of the main final demand components' variations. Brazil is an interesting case study, as it has experienced a combination of sustained economic growth, an improvement in income distribution, and a notable increase in job formalization in the 2004-2013 period. We explore how the Brazilian growth pattern contributed to the employment growth and changes in the occupational structure (informal and formal jobs, and wage-level) and provide original insights into the Brazilian labor market in the long 2000s. We find no signs of typical job polarization, as changes in job structure relate to reductions in wage inequality. We develop a structural decomposition analysis to measure the demand components' role in explaining the Brazilian labor market's transformations based on an effective demand input-output model. Drawing on an analysis of cumulative causation between income distribution, household consumption, and occupational structure, we find that induced consumption significantly impacted service and trade industries, increasing the low-wage jobs growth rate. Our analysis suggests that the combination of cumulative causation with government consumption and investment growth is crucial to explain distributive gains and the absence of job polarization in the Brazilian labor market.