Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcriptomic and Epigenetic Alterations in Dendritic Cells Correspond With Chronic Kidney Disease in Lupus Nephritis

Systemic lupus erythematosus (SLE) is a serious autoimmune disease with variety of organ manifestations. The most dreadful one, affecting the majority of SLE patients, is kidney manifestation—lupus nephritis (LN). Dendritic cells (DC) are believed to be one of the culprits of immune dysregulation in LN. Flow cytometry analysis was applied to identify the frequency and activity of peripheral blood DCs subpopulations: myeloid and plasmacytoid, in LN patients. Magnetically isolated mDCs and pDCs were subjected to molecular analysis of genes expression, evaluation of global DNA methylation and histone H3 methylation. We observed distinctive features of DCs associated with the stages of nephritis in LN patients. Lower numbers of pDCs were observed in patients with severe LN, while increased co-stimulatory potential of mDCs was connected with the early, mild stage of this disease. IRF1 transcript upregulation was specific for mDCs from total LN patients, while exceptional amount of IRF1 mRNA was detected in mDCs from severe LN patients. DCs DNA hypermethylation seemed characteristic for severe LN, whereas a decrease in H3K4me3 and H3K27me3 marks was significant for the early stages of LN. These findings present dendritic cell alterations that may reflect renal involvement in SLE, laying foundations for new strategy of diagnosis and monitoring of LN patients, omitting invasive kidney biopsies.
Apprentissage de l ’ architecture d ’ un réseau de neurones profond sous contraintes de budget

We propose to focus on the problem of discovering neural network architectures efficient in terms of both prediction quality and cost. For instance, our approach is able to learn a neural network able to predict well in less than 100 milliseconds or using less than 50 Mb memory. Our contribution, the Budgeted Super Networks (BSN), are trained using gradient descent techniques applied on a budgeted learning objective function containing a maximum authorized cost. We present a set of experiments on computer vision problems and analyze the ability of our technique to deal with three different costs: the computation cost, the memory consumption cost, and also a distributed computation cost. We particularly show that our model can discover neural network architectures that have a better accuracy than the ResNet and CNF architectures on CIFAR-10 and CIFAR-100, at a lower cost.
THE EFFECT OFAVAILABLE SOIL WATER AND ROOT DENSITY ON ACTUAL AND POTENTIAL TRANSPIRATION RELATIONSHIPS

Amathematical model isdeveloped tosimulate actual transpiration when root densities vary with depth. It isused to demonstrate how AT changes with available soil water (Aw), root density and potential transpiration (PT). In general, ratios ofAT over PT increase as root density increases at a given 4W and this effect is non-linear. A level is attained where increasing the root density has avery small effect on AjJPj. PT significantly affected ATIPT atall levels ofroot densities studied for medium tolow soil water contents. This means that atthese soil water contents, AT does not increase indirect proportion to PT
Users ’ Participation in Acquisition and Users ’ Satisfaction with the Information Resources in University Libraries in the South-South Zone of Nigeria

The study was conducted to determine the influence of users’ participation in the acquisition process on users’ satisfaction with information resources in university libraries in South-South zone of Nigeria. The study adopted the survey research method. The population of this study consists of all university library staff and lecturers in government-owned university in the South South zone of Nigeria during the 2012/2013 academic session. Multi-stage sampling technique was used to select a sample of 36 library staff and 4627 lecturers from 6 of the universities in the zone. A structured questionnaire entitled: Users’ Participation in the Acquisition Process and Users’ Satisfaction with Information Resources (UPAPUSIRQ), was used to collect data. Means and standard deviation were used to analyse the data collected for the study while the hypothesis was tested using t-test in IBM SPSS for Window version 20 at p = 0.05 level of significance. The findings reveal among other things that there was significant influence of Users’ participation in the acquisition process on users’ satisfaction with information resources. It is therefore recommended that librarians should take cognizance of the factor of users’ participation in the acquisition process when acquiring information resources for the libraries.
Speech Understanding in a Multiple Recognizer with an Anaphora Resolution Process

In this paper, we propose a simple and effective method for speech understanding. The method incorporates some speech recognizers. We use two types of recognizers; a large vocabulary continuous speech recognizer and a domain-specific speech recognizer. The multiple recognizer is a robust and flexible method for speech understanding. In this paper, we focus on two issues: (1) selection of outputs from the multiple recognizer and (2) anaphora resolution in the multiple recognizer. For the output selection, we use a simple edit distance measure computed from output sentences from each recognizer. Our method has high scalability and accuracy for the output selection. Next, we describe an anaphora resolution process using outputs from the multiple recognizer. The experimental results show the effectiveness of the proposed method.
Effect of roughage to concentrate ratio and mineral salt block supplementation to optimize rumen fermentation in vitro gas technique

Feeding high-level concentrate which is unlimited grain feeding does not always increase production and may be cause the problem for the cow. Feeding too high a level of concentrate may force animal oppose to metabolism involve in efficiently of milk production. So, this study aimed to investigate the effect of mineral salt block on rumen pH, fermentation, digestibility and ammonia-nitrogen (NH3-N) according to in vitro gas production technique. The experiment design was a 2x5 factorial arrangement in a completely randomized design (CRD). There were 2 experimental factors comprised of 1) two ratios of concentrate to roughage ratio (C:R) at 60:40 and 70:30 and 2) five mineral blocks were supplemented (control, A, B, C and D) at 0.5g/kgDM. There were 10 combination treatments. The result showed that the gas production from the immediately soluble fraction (a) was non-significantly by interaction between TMR and mineral salt block (P>0.05). The gas production from the insoluble fraction (b) was significantly in mineral salt block and highest in control group (P<0.05). The gas production rate constant (c) for the insoluble fraction (b) was highest in mineral block “A” (P<0.01). The rumen pH was significantly among dietary treatments at 12 hours of experiment, pH were highest in mineral C and D compared with mineral salt block A and control, 6.84, 6.84, 6.81 and 6.74, respectively (P<0.05). Ruminal pH was also significantly different between type of diet which diet containing C:R=60:40 and diet containing C:R=70:30 were 6.77 and 6.83 respectively (P<0.001). In addition, Dry matter (DM) and organic matter (OM) degradability were affected by C:R = 70:30 at 6, 12, 24 and 48 h (P>0.05). NH3-N concentration was not significant among dietary treatments. Therefore, this experiment concludes that supplementation of mineral block could enhance rumen fermentation by maintaining pH in the rumen and this might improve rumen function and digestibility.
Instruments Localisation and Identification for Laparoscopic Surgeries

In this paper we present a method for combined detection and identification of surgical instruments during laparoscopic surgeries. We use our previous work on the automatic detection of laparoscopic instruments to automatically construct thumbnails describing all the instruments visible in the laparoscopic images. These thumbnails are then used to train a SVM classifier for tool identification. Our results show that we are able to localise and identify various surgical instruments in previously unseen video sequences.
Absorption of carbon dioxide into non-aqueous solutions of N-methyldiethanolamine

−The chemical absorption rate of carbon dioxide was measured in non-aqueous solvents, which dissolved N-methyldiethanoamine (MDEA), such as methanol, ethanol, n-propanol, n-butanol, ethylene glycol, propylene glycol, and propylene carbonate, and water at 298 K and 101.3 kPa using a semi-batch stirred tank with a plane gas-liquid interface. The overall reaction rate constant obtained from the measured rate of absorption of carbon dioxide under the condition of fast pseudo-first-order reaction regime was used to get the apparent reaction rate constant, which yields the second-order reaction rate constant and the reaction order of the overall reaction. There was approximately linear dependence of the logarithm of the rate constant for the overall second-order reaction on the solubility parameter of the solvent. In non-aqueous solutions of (MDEA), dissolved carbon dioxide is expected to react with solvated (MDEA) to produce an ion pair.
Pervasive Recommender System for Smart Home Environment

Buildings today become complex in terms of structures and advanced technologies. Intelligent buildings are autonomic environment that provide useful services to make occupants lives’ more comfortable (e.g. physical security, automatic lighting, thermal comfort, etc.). Smart buildings use IT systems to connect a variety of independent sub-systems, so that these systems can share information to improve total building performance. In this paper, we propose an approach that offers the most relevant services to inhabitants according to the contextual information provided by the physical sensors. The proposed approach considers five parameters to represent the contextual information: the user activity (sleeping, walking, sitting down, .), time(morning, afternoon, night, .) localization ( kitchen, living room,.), temperature(warm, cold, hot, .) , special event (ween end, holidays,.) and activate the most adequate service to be applied in a given context of use.
Host protein CD 63 promotes viral RNA replication by interacting with human astrovirus non-structural protein nsP 1 a / 4

Human astrovirus non-structural protein nsP1a/4, located at the C-terminal end of nsP1a, is thought to be involved in regulating RNA replication. Here, we show that host protein CD63 interacts with the nsP1a protein. Further research showed that the large loop (LEL) domain of CD63 also interacts with nsP1a/4. Confocal microscopy showed that nsP1a/4 protein and CD63 co-localized in the cytoplasm of co-transfected cells. Co-localization of nsP1a/4 and CD63 was also observed in HAstV1-infected cells. Overexpression of CD63 promoted replication of HAstV-1, whereas knockdown of CD63 reduced production of HAstV-1 viral progeny. These results suggest that CD63 plays a critical role in HAstV-1 replication, and provide an avenue to further understanding the interactions between host and virus proteins during replication and pathogenesis of HAstV.
Impact of Cartosat-1 Orography in 330 M Unified Model Forecast

1. Balasubramaniam, R. and Dass, M. I. , On the astronomical significance of the Delhi Iron Pillar. Curr. Sci., 2004, 86(5), 1134–1142. 2. Pandya, A. , Bahadur, T. and Bhattacharya, S. , Time keeping in the past: sun-dial in Jaisalmer Fort. Indian J. Hist. Sci., 2017, 52(2), 138–147. 3. Gatty, A. , The Book of Sun-Dials, George Bell and Sons, London, 1872, pp. 1–2; http://digital.library. upenn.edu/women/gatty/ sundials/sundials.html 4. Kaye, G. R. , The astronomical observatories of Jai Singh, Arch. Surv. India, New Imperial Series, 1973, XL. 5. Singh, P., Indian and Islamic Stone Observatories, Holiday Publications, Jaipur, 2009 6. Singh, P., Stone Observatories of India, Bharat Manisha, Varanasi, 1975. 7. Kochar, R. and Narlikar, J., Astronomy in India, Indian National Science Academy, New Delhi, 1994, pp. 6–9. 8. Kochar, R. and Narlikar, J., Astronomy in India: Past, present and future, Inter University Centre for Astronomy and Astrophysics, Pune, and Indian Institute of Astrophysics, Bangalore, 1993, pp. 11–18. 9. Heritage of the Mysore division, The District Gazetteers of Mysore and Mandya, Deptt. of Gazetteer, Bangalore, http://rcmysore. gov.in/heritage.pdf 10. Sheik Ali, B. , Tipu Sultan: A Crusader for Change, Knowledge Publication Society, Mysuru, 2014, pp. 390–391; www.bshekali. in 11. Abdul Karim, S. M. , A Guide to PRAYER in Islam, The Cooperative Office for Call and Foreigners’ Guidance at Sultanah, Riyadh, 1997, pp. 16–17; http://www.islamicbook. ws/english/ english-020.pdf 12. For computer programme to calculate prayer time of Asr: http://astronomyaardra.org/res.htm
Calculations on radiation effects on electronics for ESS

Estimation of radiation damage to electronics is complex and requires knowledge of several disciplines. Such estimation is important in the assessment of design and construction of systems in radiatory applications. This can be used to approximate the lifetime of electronics and to develop strategies for both ensuring reliability of the equipment and for financial optimization. To understand the interaction of radiation with matter, nuclear physics and the concept of fundamental forces and cross sections has been applied. Physics of devices has been investigated in order to understand the different types of damage and errors that may occur as a consequence of irradiation. Lastly, mapping and analysis of radiation, as well as response functions of electronics, are needed to predict radiation damage. Monte Carlo N-Particle Transport Code (MCNP) has been used to calculate the gamma and neutron radiation in the front-end building of the European Spallation Source. The radiation has been characterized in terms of quantities and energy spectra. stram is a software tool developed in this project, for revealing the radiation absorbed by electronics. The tool folds radiation maps with response functions of electronics, thus determining the absorbed dose. Consequently, this can be used to find the optimal location of a device, should it be feasible to be chosen arbitrarily. Otherwise, necessary shielding measures or conclusions regarding other options, can be derived from the results. This report presents research regarding radiation effects on electronics as well as the capabilities of stram for estimation of radiation damage. stram demonstrates applicability in all radiatory environments, provided a radiation map is generated.
When are Opaque Predicates Useful?

Opaque predicates are a commonly used technique in program obfuscation, intended to add complexity to control flow and to insert dummy code or watermarks. However, there are many attacks known to detect opaque predicates and remove dummy code. We survey these attacks and argue that many types of programs cannot be securely obfuscated using opaque predicates. In particular we explain that most previous works on control flow obfuscation have introduced predicates that are easily distinguished from naturally occurring predicates in code, and hence easily removed by an attacker. We state two conditions that are necessary for a program to be suitable for control flow obfuscation. We give an integrated approach to control flow obfuscation that simultaneously obfuscates real predicates and introduces opaque predicates. The opaque predicates are indistinguishable from the obfuscated real predicates in the program. If an attacker applies the usual approaches (both static and dynamic) to identify and remove opaque predicates then they are likely to remove critical functionality and introduce errors. We have implemented our obfuscator in LLVM. We provide an analysis of the performance of the resulting obfuscated code.
Jena 1 Electrical Equalization for Advanced Optical Communication Systems

We investigate equalizers for electronic dispersion compensation (EDC) of dispersion limited optical fibre communication links in combination with different modulation formats. We show that the performance of conventional equalizers including feedforward equalizer (FFE) and decision feedback equalizer (DFE) are fundamentally limited by the nonlinearity of square-law detection of the photodiode in direct detection systems. Advanced modulation formats such as differential phase shift keying (DPSK) and optical duobinary further enhance this kind of nonlinearity and degrade further FFE/DFE performance.However, nonlinearFFE-DFE andmaximum likelihood sequence estimation (MLSE) take into account the mitigation of nonlinear inter symbol interference (ISI) and hence can achievemuch better performance.We show that in contrast to other modulation formats, optical single sideband modulation results in approximately linear distortions after detection and thus a simple linear FFE equalizer can achieve good compensation.
Unsupervised Analysis of EEG signals for the discovery of ictal patterns

In this paper, patient-specific unsupervised analysis of electroencephalographic (EEG) signals for the discovery of unknown ictal patterns was performed. For the analysis we relied on the k-means clustering algorithm. The proposed methodology when applied to EEG recordings from an epileptic patient revealed patterns that appear with a significantly greater frequency during the epileptic seizures. The discovered patterns can be exploited as indicators of the ictal periods in an automated approach for the detection of seizures.
Traffic Sign Detection using Deep Random Mapping Autoencoder Network

This paper proposes an effective method for traffic sign detection by employing deep random mapping autoencoder network. The architecture is composed of three modules: coarse detection, fine detection, and candidates clustering. The method utilizes histogram of oriented gradient and color histogram to express the features of traffic signs. Our method is simple and extensible. Results are indicated on both German traffic sign detection benchmark and Belgium traffic sign detection dataset. Our method achieves 99.27% area under the precision-recall curve (AUC) for all categories of traffic signs on German traffic sign detection benchmark, and 93.34% AUC for all categories on Belgium traffic sign detection dataset.
Dynamic Average Converter Model for MVDC Link Harmonic Analysis

Medium-voltage direct-current (MVDC) technology has been widely considered as a key enabler to generate, convert and dispense electrical power with enhanced connectivity, security and quality. However, with the significant deployment of power electronics converters with high-switching frequency in MVDC systems, accurate analysis of system dynamic behavior such as harmonic distortions have become a computationally intensive task. To address these challenge average models of converters have been proposed to facilitate faster computation. However, these models only capture the steady-state characteristics of the system. To this end, in this paper, three types of time-domain based converter models: detailed, average and switching average models are presented for harmonic studies. The suitability of the modelling fidelity in reducing substantial simulation time has been validated with a practical converter topology used for the first MVDC link in Europe. Simulation based on the switching average model is shown to provide all relevant information as obtained from the detailed switching model while consuming considerably less computation time than the latter.
Adaptive CFAR Algorithm for Radio Signal Detection in the Problems of Ionosphere and HF Communication Channels Sounding

Paper presents the findings of the research into the application of the CFAR algorithm aimed at increasing efficiency of automatic signal detection in the problem of ionosphere and HF communication channels sounding. We studied two modifications of the adaptive CFAR algorithm (CA-CFAR and OS-CFAR). Their threshold values dynamically vary depending on the noise and interferences power in a HF communication channel. It was proved that OS-CFAR modification is more appropriate for overcoming the problem. Verification of these algorithms were carried out in the full-scale experiments on ionosphere sounding over the Cyprus - Yoshkar-Ola propagation path.
A Portable On-site Instrument for Measuring Heavy Metal Contamination in Food

To achieve rapid on-site detection of the heavy metal contaminations in foods, a portable heavy metal continuation instrument has been developed. The instrument is made up of the K60 embedded microcomputers and the corresponding electronic systems. The constant potential measurement method with the anodic stripping voltammetry is used for the measurement. Through the blue-tooth communication module HC-05, the data in the testing module are transmitted to the upper machine: the tablet computer or other types of the Android platform, where the test results be displayed, and can further be transmitted to the cloud service system to realize the food safety supervision and make proper responses in time. The instrument was tested by the standard technical supervision bureau and the results show that this instrument can achieve satisfactory accuracy for the measurement of the heavy metal contamination.
Automatic Extrinsic Calibration of Monocular Camera and LIDAR in Natural Scenes

It has practical significance to automatically calibrate the multiple sensors in autonomous driving vehicles. This paper proposes an automatic calibration method to address the extrinsic calibration for a perception system comprised a LIDAR and a monocular camera, which can be used in natural scenes without calibration boards. The calibration problem is formulated as minimizing the structure feature errors via nonlinear least squares optimization. In order to solve the nonlinear optimization problem, the continuous frames information are used to initialize parameters and extract features. Simultaneously, Levenberg-Marquardt algorithm and a global optimization algorithm are combined to obtain the best optimal parameters. Extensive experiments tested on KITTI benchmark demonstrate that our method reaches a valid and competitive result.