Miracle-dz/UniFAR-FTUs huggingface dataset:
Longitudinal studies in South Indian villages on Japanese encephalitis virus infection in mosquitoes and seroconversion in goats

Japanese encephalitis (JE) is endemic in Cuddalore district, Tamil Nadu, where Culex tritaeniorhynchus Giles was the major vector. We screened 45 100 adult female Cx. tritaeniorhynchus (902 pools) by enzyme‐linked immunosorbent assay and isolated and confirmed JE virus (JEV) by using an insect bioassay system. We had 69 isolates of which 62 (90%) were identified as JEV. The average vector abundance per man hour for Cx. tritaeniorhynchus was 324.5 per month for the period June 1998–May 2000. The average minimum infection rate (MIR) per month in Cx. tritaeniorhynchus was 1.4 (range 0.0–5.6). Every year, a new batch of goats, 20 in the first year and 31 in the second year, born during the non‐JE transmission period (January–June), aged <6 months and negative for haemagglutination inhibition (HI) antibodies were procured and placed in the villages as sentinels. Fortnightly, blood specimens were collected from these goats and tested for JE antibodies by HI test. Seroconversions (SCs) were recorded in 14 goats (70%) in the first year and 23 goats (74%) in the second year. JE HI antibody titres in goats were low (1:10–1:80) and these levels declined to undetectable levels in about 4 weeks following SCs. The time sequence of events indicated that four of five peaks of MIR in mosquitoes were followed 1–3 months later by peaks in the proportion of seroconverted goats. We suggest the screening of goats and cattle as a more feasible tool to stratify areas according to JE infection risk to the human population through the regular health system rather than screening mosquitoes using monoclonal antibodies, which is possible only in specialized laboratories.
An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data

The identification of the specific genes that influence particular phenotypes is a common problem in genetic studies. In this paper we address the problem of determining the influence of gene joint expression in synapse predictability. The question is posed as an optimization problem in which the conditional entropy of gene subsets with respect to the synaptic connectivity phenotype is minimized. We investigate the use of single- and multi-objective estimation of distribution algorithms and focus on real data from C. elegans synaptic connectivity. We show that the introduced algorithms are able to compute gene sets that allow an accurate synapse predictability. However, the multi-objective approach can simultaneously search for gene sets with different number of genes. Our results also indicate that optimization problems defined on constrained binary spaces remain challenging for the conception of competitive estimation of distribution algorithm.
Hybrid parallel neuro-controller for multirotor unmanned aerial vehicle

This paper provides a new method of building a flight control system for multirotor unmanned aerial vehicle based on hybrid parallel neuro-controller that uses radial basis function artificial neural network. Activation functions of hidden layer neurons are optimized in a way that allows for online training. We show that proposed hybrid neuro-controller is more effective than traditional manually configured PID controller.
Components and dynamics of fiber formation define a ubiquitous biogenesis pathway for bacterial pili

Type IV pili (Tfp) are a unique class of multifunctional surface organelles in Gram‐negative bacteria, which play important roles in prokaryotic cell biology. Although components of the Tfp biogenesis machinery have been characterized, it is not clear how they function or interact. Using Neisseria gonorrhoeae as a model system, we report here that organelle biogenesis can be resolved into two discrete steps: fiber formation and translocation of the fiber to the cell surface. This conclusion is based on the capturing of an intermediate state in which the organelle is retained within the cell owing to the simultaneous absence of the secretin family member and biogenesis component PilQ and the twitching motility/pilus retraction protein PilT. This finding is the first demonstration of a specific translocation defect associated with loss of secretin function, and additionally confirms the role of PilT as a conditional antagonist of stable pilus fiber formation. These findings have important implications for Tfp structure and function and are pertinent to other membrane translocation systems that utilize a highly related set of components.
Distinct serum proteome profiles associated with collagen‐induced arthritis and complete Freund's adjuvant‐induced inflammation in CD38−/− mice: The discriminative power of protein species or proteoforms

Collagen‐type‐II‐induced arthritis (CIA) is an autoimmune disease, which involves a complex host systemic response including inflammatory and autoimmune reactions. CIA is milder in CD38−/− than in wild‐type (WT) mice. ProteoMiner‐equalized serum samples were subjected to 2D‐DiGE and MS‐MALDI‐TOF/TOF analyses to identify proteins that changed in their relative abundances in CD38−/− versus WT mice either with arthritis (CIA+), with no arthritis (CIA−), or with inflammation (complete Freund's adjuvant (CFA)‐treated mice). Multivariate analyses revealed that a multiprotein signature (n = 28) was able to discriminate CIA+ from CIA− mice, and WT from CD38−/− mice within each condition. Likewise, a distinct multiprotein signature (n = 16) was identified which differentiated CIA+ CD38−/− mice from CIA+ WT mice, and lastly, a third multiprotein signature (n = 18) indicated that CD38−/− and WT mice could be segregated in response to CFA treatment. Further analyses showed that the discriminative power to distinguish these groups was reached at protein species level and not at the protein level. Hence, the need to identify and quantify proteins at protein species level to better correlate proteome changes with disease processes. It is crucial for plasma proteomics at the low‐abundance protein species level to apply the ProteoMiner enrichment. All MS data have been deposited in the ProteomeXchange with identifiers PXD001788, PXD001799 and PXD002071 (http://proteomecentral.proteomexchange.org/dataset/PXD001788, http://proteomecentral.proteomexchange.org/dataset/PXD001799 and http://proteomecentral.proteomexchange.org/dataset/PXD002071).
Removing contaminated data for illumination-robust face recognition

Recently low-rank matrix decomposition (LR) and sparse representation classification (SRC) have been successfully applied to address the problem of face recognition. Low-rank matrix decomposition is employed as the first step of robust principal component analysis (RPCA), it is robust to illumination-contaminated image data. In this paper, we propose a novel method based on low-rank decomposition and sparse representation classification which is more robust to illumination-contaminated data. This method is a kind of test-data-drive illumination-robust face recognition. Our experimental results demonstrate the effectiveness of our proposed method.
Tikhonov and Iterative Regularization Methods for Embedded Inverse Problems

A semiconductor laser device includes a ridge waveguide having two side surfaces, a crystalline burying layer disposed at both side surfaces of the ridge waveguide, and a second conductivity type contact layer disposed on the burying layer and the ridge waveguide. The burying layer includes a first conductivity type first current blocking layer in contact with the side surfaces of the ridge waveguide, a second conductivity type second current blocking layer disposed on a portion of the first current blocking layer and separated from the ridge waveguide by a portion of the first current blocking layer near the ridge waveguide, a first conductivity type third current blocking layer disposed on a portion of the first current blocking layer near the ridge waveguide and on the second current blocking layer, and a second conductivity type final burying layer disposed on the third current blocking layer. In this structure, there is no pn junction at a regrowth interface between the final burying layer and the contact layer so that reduction in the forward voltage of the pn junction in continuous operation is avoided and increasing leakage current is suppressed so that the threshold current and light output of the laser do not deteriorate over time.
An EPQ model with a random breakdown, rework, and a discontinuous issuing policy

This study attempts to determine the optimal production run time for an economic production quantity (EPQ) model with a Poisson breakdown rate, the rework of nonconforming items, and multi-delivery of finished products. It is assumed that nonconforming items can be randomly produced and repaired through a rework process added at the end of the production process. Production equipment is subject to a random breakdown, which follows a Poisson distribution. When a breakdown occurs, the machine immediately goes under repair and adopts an abort/resume inventory control policy. Under this policy, the production of the interrupted lot instantaneously resumes when the machine is repaired and restored. Upon completion of the rework process, n fixed quantity installments of the finished batch are delivered to the customer at a fixed interval of time. Mathematical modelling together with a numerical analysis is used in this study. Theorems on the convexity of the expected system cost function and bounds of production uptime are proposed and proved. A recursive searching algorithm is developed to find the optimal replenishment uptime within the bounds. Finally, a numerical example is provided to demonstrate the practical usage of the study results.
The Parallactic View, Statistical Testing, and Circular Reasoning

A "parallactic view" (i.e., subjectivity in interpreting data) is an important and perhaps essential tool for formulating hypotheses, but it also represents a hazardous contam inant to be avoided in testing hypotheses. Computer simulations demonstrate that statistical testing of data that are contaminated by even a modest level of such parallax can be very misleading; probability levels are greatly distorted. An even more insidious influence of the parallactic view arises when the fundamental assumptions for a statistical test are not ade quately respected. Single-cosinor analysis, which has been used to "demonstrate" circasep tan rhythms (τ = about 7 days), lends itself to such abuse: The statistical test of the zero- amplitude hypothesis assumes that if any serial correlation is present in the data, it is due to a sinusoidal oscillation with period that is known a priori. One cannot, therefore, legitimately use this method to demonstrate the existence of such a rhythm.
CMOS implementation of a new high speed 5-2 compressor for parallel accumulations

This paper presents a new high speed 5-2 compressor. It is designed based on a new truth table which leads to a simple structure. Also, the driving problems are reduced. Due to the similar paths from inputs to the outputs, there will be no need for extra buffers in low latency paths to equalize the delays and the power dissipation is decreased. Furthermore, by use of full swing logics, the speed of cascaded operations is enhanced. The latency of proposed design is 440 ps.
The Unusual Spitzer Spectrum of the Carbon Star IRAS 04496–6958: A Different Condensation Sequence in the LMC?

We present a new Spitzer Infrared Spectrograph (IRS) spectrum of the carbon star IRAS 04496-6958 in the Large Magellanic Cloud, which exhibits a fairly broad absorption feature at ~11 μm. This feature is consistent with SiC absorption, as seen in a few Galactic sources. Furthermore, the C2H2 (and other molecular) absorption bands are the deepest ever observed, indicative of a very high column density. While the Galactic sources with SiC absorption have cool colors (continuum temperature ≈300 K), IRAS 04496-6958 is much bluer, with a continuum temperature of ≈600 K. Based on the Galactic sample, SiC dust at this temperature should still display an emission feature at ~11 μm. If SiC is the cause of the absorption feature, it suggests a subtly different evolutionary path and a change to a different condensation sequence than assumed for Galactic carbon stars. An alternative explanation for this feature is molecular line absorption; however, currently available line lists are not sufficient to properly assess this hypothesis.
BEFTIGRE: Behaviour‐driven full‐tier green evaluation of mobile cloud applications

With the resource‐constrained nature of mobile devices and the resource‐abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods have been developed to offload resource intensive tasks from mobile devices to the cloud. Although these schemes address similar questions within the same domain of mobile cloud application (MCA) optimisation, evaluation is tailored to the scheme and also solely mobile focused, thus making it difficult to clearly compare with other existing counterparts. In this work, we first analyse the existing/commonly adopted evaluation technique, then with the aim to fill the above gap, we propose the behaviour‐driven full‐tier green evaluation approach, which adopts the behaviour‐driven concept for evaluating MCA performance and energy usage—ie, green metrics. To automate the evaluation process, we also present and evaluate the effectiveness of a resultant application program interface and tool driven by the behaviour‐driven full‐tier green evaluation approach. The application program interface is based on Android and has been validated with Elastic Compute Cloud instance. Experiments show that Beftigre is capable of providing a more distinctive, comparable, and reliable green test results for MCAs.
Cyber-Security-Aware Network Design of Industrial Control Systems

The pervasive adoption of traditional information and communication technologies hardware and software in industrial control systems (ICS) has given birth to a unique technological ecosystem encapsulating a variety of objects ranging from sensors and actuators to video surveillance cameras and generic PCs. Despite their invaluable advantages, these advanced ICS create new design challenges, which expose them to significant cyber threats. To address these challenges, an innovative ICS network design technique is proposed in this paper to harmonize the traditional ICS design requirements pertaining to strong architectural determinism and real-time data transfer with security recommendations outlined in the ISA-62443.03. 02 standard. The proposed technique accommodates security requirements by partitioning the network into security zones and by provisioning critical communication channels, known as security conduits, between two or more security zones. The ICS network design is formulated as an integer linear programming (ILP) problem that minimizes the cost of the installation. Real-time data transfer limitations and security requirements are included as constraints imposing the selection of specific traffic paths, the selection of routing nodes, and the provisioning of security zones and conduits. The security requirements of cyber assets denoted by traffic and communication endpoints are determined by a cyber attack impact assessment technique proposed in this paper. The sensitivity of the proposed techniques to different parameters is evaluated in a first scenario involving the IEEE 14-bus model and in a second scenario involving a large network topology based on generated data. Experimental results demonstrate the efficiency and scalability of the ILP model.
Poverty in Edwardian Britain

This article introduces a newly discovered household budget data set for 1904. We use these data to estimate urban poverty among working families in the British Isles. Applying Bowley's poverty line, we estimate that at least 23 per cent of people in urban working households and 18 per cent of working households had income insufficient to meet minimum needs. This is well above Rowntree's estimate of primary poverty for York in 1899 and high in the range that Bowley found in northern towns in 1912–13. The skill gradient of poverty is steep; for instance, among labourers' households, the poverty rates are close to 50 per cent. Measures of the depth of poverty are relatively low in the data, suggesting that most poor male-headed working households were close to meeting Bowley's new standard.
Enhanced output power in an InGaN-GaN multiquantum-well light-emitting diode with an InGaN current-spreading layer

InGaN-GaN multiple quantum-well (MQW) light-emitting diodes (LEDs) with InGaN current-spreading layer were grown by metal-organic vapor-phase epitaxy (MOVPE) and their characteristics were evaluated by current-voltage (I-V), as well as output power measurements. Experimental results indicate that the LEDs exhibited a higher output power and a lower operation voltage than that of conventional LEDs. The external quantum efficiency of InGaN-GaN MQW LEDs for bare chips operated at injection current of 20 mA with InGaN current spreading layer near 5%. This is two times higher than that of conventional LEDs. This could be tentatively attributed to the better current-spreading effect resulting from Si-doped In/sub 0.18/Ga/sub 0.82/N wide potential well in which electron states are not quantized.
High birefringence and large negative dielectric anisotropy phenyl‐tolane liquid crystals

Two phenyl‐tolane compounds with two pairs of (2,3) lateral difluoro substitutions were synthesized and their properties evaluated. These compounds exhibit a high birefringence (Δn ∼ 0.35) and a large negative dielectric anisotropy (Δε∼ −8). These two important features make the phenyl‐tolane compounds useful as a dopant in a negative Δε liquid‐crystal mixture to enhance the performance of the host mixture, or as a negative component in a dual‐frequency liquid‐crystal mixture to improve the dielectric anisotropy and birefringence and lower the crossover frequency.
Occurrence of gestational diabetes mellitus and the value of different screening indicators for the oral glucose tolerance test

Background. The objective of the present study was to determine prevalence of gestational diabetes mellitus (GDM) in terms of impaired glucose tolerance (IGT) and diabetes mellitus (DM), and the value of traditional anamnestic risk factors for predicting outcome of the oral glucose tolerance test (OGTT).
Learning local feature descriptors with triplets and shallow convolutional neural networks

It has recently been demonstrated that local feature descriptors based on convolutional neural networks (CNN) can significantly improve the matching performance. Previous work on learning such descriptors has focused on exploiting pairs of positive and negative patches to learn discriminative CNN representations. In this work, we propose to utilize triplets of training samples, together with in-triplet mining of hard negatives. We show that our method achieves state of the art results, without the computational overhead typically associated with mining of negatives and with lower complexity of the network architecture. We compare our approach to recently introduced convolutional local feature descriptors, and demonstrate the advantages of the proposed methods in terms of performance and speed. We also examine different loss functions associated with triplets.
The effect of low-dose warfarin on the risk of stroke in patients with nonrheumatic atrial fibrillation.

BACKGROUND Nonrheumatic atrial fibrillation increases the risk of stroke, presumably from atrial thromboemboli. There is uncertainty about the efficacy and risks of long-term warfarin therapy to prevent stroke. METHODS We conducted an unblinded, randomized, controlled trial of long-term, low-dose warfarin therapy (target prothrombin-time ratio, 1.2 to 1.5) in patients with nonrheumatic atrial fibrillation. The control group was not given warfarin but could choose to take aspirin. RESULTS A total of 420 patients entered the trial (212 in the warfarin group and 208 in the control group) and were followed for an average of 2.2 years. Prothrombin times in the warfarin group were in the target range 83 percent of the time. Only 10 percent of the patients assigned to receive warfarin discontinued the drug permanently. There were 2 strokes in the warfarin group (incidence, 0.41 percent per year) as compared with 13 strokes in the control group (incidence, 2.98 percent per year), for a reduction of 86 percent in the risk of stroke (warfarin:control incidence ratio = 0.14; 95 percent confidence interval, 0.04 to 0.49; P = 0.0022). There were 37 deaths altogether. The death rate was markedly lower in the warfarin group than in the control group: 2.25 percent as compared with 5.97 percent per year, for an incidence ratio of 0.38 (95 percent confidence interval, 0.17 to 0.82; P = 0.005). There was one fatal hemorrhage in each group. The frequency of bleeding events that led to hospitalization or transfusion was essentially the same in both groups. The warfarin group had a higher rate of minor hemorrhage than the control group (38 vs. 21 patients). CONCLUSIONS Long-term low-dose warfarin therapy is highly effective in preventing stroke in patients with non-rheumatic atrial fibrillation, and can be quite safe with careful monitoring.
Histological and TEM examination of early stages of bone healing after Er:YAG laser irradiation.

OBJECTIVE The aim of this study was to analyze the early healing process of bone tissue irradiated by Er:YAG laser and compare it with that treated by mechanical drilling and CO(2) laser. BACKGROUND DATA Er:YAG laser has a great potential for cutting hard tissues as it is capable of ablation with less thermal damage. METHODS Twenty-four male Wistar rats were used for this study. The calvarial bone of rats was exposed and straight grooves were prepared by Er:YAG laser, mechanical bur and continuous wave CO(2) laser. Four rats each were sacrificed at six time points: 10 min, 6 and 24 h and 3, 7, and 14 days post-surgery. Sections were prepared for light and transmission electron microscopic (TEM) observations. RESULTS Compared to mechanical bur and CO(2) groups, the inflammatory cell infiltration adjacent to the irradiated bone surface, fibroblastic reaction, and revascularization were more pronounced in the Er:YAG laser-irradiated tissues. A cell-rich granulation tissue with fibroblasts and osteoblasts was predominant in 7-day specimens of Er:YAG laser group. Histopathological analysis of 14-day specimens in the Er:YAG group also revealed significantly greater new bone formation, compared with the mechanical bur and CO(2) laser groups. CONCLUSIONS Initial bone healing following Er:YAG laser irradiation occurred faster than that after mechanical bur and CO(2) laser. Er:YAG laser treatment may be advantageous for wound healing of bone tissue, presumably by providing a favorable surface for cell attachment.
Evaluation of Core Competence of Chinese Medicine Enterprises Based on Cloud Model

The traditional Chinese medicine industry is a field that has unique advantage and national characteristics in the industrial field of our country. The evaluation of the enterprise core competence plays an important role in the rapid development of the traditional Chinese medicine industry. In this paper, a comprehensive evaluation model of the Chinese medicine enterprise core competence is proposed based on cloud model. First, an index system to evaluate the core competence of Chinese medicine enterprises is constructed based on the previous studies. Then, the weight of factors was mined using analytic hierarchy process method and the transform is executed between the qualitative object and ratio. At last the competence level was described with the digital characteristic figure of cloud model. Testified by the experiment, the model is proved feasible and effective.