Miracle-dz/UniFAR-FTUs huggingface dataset:
Tolerogenic Dendritic Cells Induced by Vitamin D Receptor Ligands Enhance Regulatory T Cells Inhibiting Autoimmune Diabetes

Abstract: Dendritic cells (DCs) not only induce but also modulate T cell activation. 1,25‐Dihydroxyvitamin D3 [1,25‐(OH)2D3] induces DCs with a tolerogenic phenotype, characterized by decreased expression of CD40, CD80, and CD86 co‐stimulatory molecules, low IL‐12, and enhanced IL‐10 secretion. We have found that a short treatment with 1,25‐(OH)2D3 induces tolerance to fully mismatched mouse islet allografts, and that this tolerance is stable to challenge with donor‐type spleen cells and allows acceptance of donor‐type vascularized heart grafts. This effect is enhanced by co‐administration of mycophenolate mofetil (MMF), a selective inhibitor of T and B cell proliferation, that also has effects similar to 1,25‐(OH)2D3 on DCs. Graft acceptance is associated with impaired development of type 1 CD4+ and CD8+ cells and an increased percentage of CD4+CD25+ regulatory cells expressing CD152 in the spleen and in the draining lymph node. Transfer of CD4+CD25+ cells from tolerant mice protects 100% of the syngeneic recipients from islet allograft rejection. CD4+CD25+ cells that are able to inhibit the T cell response to a pancreatic autoantigen and to significantly delay disease transfer by pathogenic CD4+CD25− cells are also induced by treatment of adult nonobese diabetic (NOD) mice with a selected vitamin D receptor (VDR) ligand. This treatment arrests progression of insulitis and Th1 cell infiltration, and inhibits diabetes development at non‐hypercalcemic doses. The enhancement of CD4+CD25+ regulatory T cells able to mediate transplantation tolerance and to arrest type 1 diabetes development by a short oral treatment with small organic compounds that induce tolerogenic DCs, like VDR ligands, suggests possible clinical applications of this approach.
Design of PI and PID controllers with transient performance specification

Proportional-integral-derivative (PID) controllers are widely used in industrial control systems because of the reduced number of parameters to be tuned. The most popular design technique is the Ziegler-Nichols method, which relies solely on parameters obtained from the plant step response. However, besides being suitable only for systems with monotonic step response, the compensated systems whose controllers are tuned in accordance with the Ziegler-Nichols method have generally a step response with a high-percent overshoot. In this paper, tuning methods for proportional-integral (PI) and PID controllers are proposed that, like the Ziegler-Nichols method, need only parameters obtained from the plant step response. The methodology also encompasses the design of PID controllers for plants with underdamped step response and provides the means for a systematic adjustment of the controller gain in order to meet transient performance specifications. In addition, since all the development of the methodology relies solely on concepts introduced in a frequency-domain-based control course, the paper has also a didactic contribution.
Gabor Saliency Map for Face Recognition

In this work a novel feature extraction approach for face recognition is proposed. The method is based on the application of Gabor filters to the most significant image locations, determined during the training stage on the basis of a saliency map. The experiments, carried out on well-known datasets, confirm the efficacy of the approach.
Human activity recognition in cognitive environments using sequential ELM

Human activity recognition (HAR) and Extreme Learning Machines (ELM) are emerging fields of research. HAR investigates the behavioural attributes of humans and integrates that to an electronic system. An ELM is a fast learning algorithm, and overcomes the fundamental issue of slow training-error convergence that other algorithms such as the back propagation algorithm suffer. In this paper, we present the blend of the two fields by classifying the behavioural attributes of humans using Artificial Neural Networks (ANN) trained by Sequential Extreme Learning Algorithm (SELA). The algorithm is efficacious with a remarkable accuracy despite circumventing the vital job of pre-processing and feature extraction from signals that have been acquired from sensors.
A complex system for telemonitoring of medical vital signs.

UNLABELLED A complex goal in biomedical information technology today is the design and implementation of telemedicine and e-health solutions, which provide (chronic) patients and elderly people services that can enhance their quality of life. MATERIAL AND METHODS We used wireless sensor network technology, low-power integrated embedded systems and wireless communications, which have enabled us the design of low-cost, miniature, precise and intelligent physiological sensor modules. These modules are capable of measuring, processing, communicating one or more physiological parameters, and can be integrated into a wireless personal area network (WPAN). RESULTS We have designed, deployed, produced and tested both hardware and software medical sensors for WPAN, dedicated to vital signs acquisition, processing and transmitting, as well as the whole telemedical system for these physiologic parameters monitoring in real time. CONCLUSIONS This paper is dedicated to the most complex Romanian telemedical pilot project, TELEMON, that has as goals the design and implementation of a system for automatic and complex telemonitoring, everywhere and every time, in (almost) real time, of the vital signs of persons with chronic illnesses, of elderly people, of those having high medical risk and of those living in isolated regions. The final objective of this pilot project is to enable personalized telemedical services, and to act as a basis for a public service for telemedical procedures in Romania and abroad.
Association Rule Mining using Count Distribution

One of the important problems indata mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consuming operation in this discovery process is the computation of the frequency of the occurrences of interesting subset of items (called candidates) in the database of transactions. To prune the exponentially large space of candidates, most Existing algorithms consider only those candidates that have a user defined minimum support. Even with the pruning, the task of finding all association rules requires a lot of computation power and memory. Parallel computers offer a potential solution to the computation requirement of this task, provided efficient and scalable parallel algorithms can be designed. In this paper, we have implemented Sequential, Parallel and Count Distribution mining of Association Rules using Apriori algorithms and evaluated the performances of three algorithms on the basis of Time and Space.
Verification of multi-protocol attacks

Formal modeling and verification of security protocols typically assumes that a protocol is executed in isolation, without other protocols sharing the network. We investigate the existence of multi-protocol attacks on protocols described in literature. Given two or more protocols, that share key structures and are executed in the same environment, are new attacks possible? Out of 30 protocols from literature, we find that 23 are vulnerable to multi-protocol attacks.
read sequencing De novo assembly of human genomes with massively parallel short Material

object identifier (DOIs) and date of initial publication. by PubMed from initial publication. Citations to Advance online articles must include the digital publication). Advance online articles are citable and establish publication priority; they are indexed appeared in the paper journal (edited, typeset versions may be posted when available prior to final Advance online articles have been peer reviewed and accepted for publication but have not yet
How do warm colors affect visual attention?

Red, orange and yellow are termed as warm colors. A study regarding role of warm colors on visual attention is reported in this paper. Distributions of chromatic features (hue and saturation) are found to be different for warm colors that draw attention and those do not. It is observed that likelihood of drawing attention by a warm color depends on both of its hue and saturation component. Interestingly, this dependency is not related to the absolute hue and saturation, but relative to these chromatic components of other warm color pixels. Warm colors with hue relatively closer to red and/or higher saturation are more likely to guide attention.
A Novel Approach for Semi-regular Mesh Based on Planar Proxies

Surface meshes have recently attracted great interest since they are frequently used in many computer graphics applications. These meshes are often generated by isosurfacing representations or also by scanning devices. Unfortunately, such meshes are dense and they contain many redundant vertices and irregular sampling. This make meshes unable to support multiple applications as storage, display, compression or transmission. To solve these problems and reduce the complexity, the mesh quality (connectivity regularity) must be improved. This improvement is called remeshing. On the other hand, many researches techniques have been done to exploit a mesh' local planarity to optimize its geometric representation. This paper presents a novel multiresolution approach of remeshing based on planar proxies.
Designing video games for older adults and caregivers

Providing care for older adults is a challenging task, particularly when close family members are involved: instead of spending quality time with the other person, caregiving relationships often focus on daily needs of the older adult, leaving little room for persons to communicate outside the caregiving context. In this paper, we examine the design of interactive technologies to support caregiving relationships through play. We present an exploratory study where ten caregiving dyads played cooperative motion-based video games, and follow up with two case studies to analyze how video game play affects older adults and family caregivers. Our results show that playing games generally represents an enjoyable activity for older adults and caregivers that can be integrated into the caregiving context. Based on our findings, we highlight design opportunities, and outline core challenges that need to be addressed to design accessible games that provide positive shared experiences for a wide range of caregiving dyads.
Optimization of clustering probability of LEACH protocol for lifetime maximization of Wireless Sensor Networks

Wireless Sensor Networks are extremely power constrained due to limited battery backup of individual sensor node. Because energy is a scarce resource, it should be conserved as much as possible. For better lifetime of network various energy saving protocols have been proposed. An energy efficient clustering protocol called Low Energy Adaptive Clustering Hierarchy (LEACH) is in trend. Although LEACH Protocol ensures sufficient lifetime improvement as compared to old traditional schemes, still there are some areas of improvement remaining untouched like optimum number of cluster-heads should be determined prior to implementation and the residual energy of nodes must be considered while selecting next cluster-head. In the present paper both of these aspects have been considered. Simulation results produced at the end replicate the improvement in network lifetime and thus prove the superiority of proposed schemes.
Evaluation of Electrolytically-Generated Hypochlorous Acid (‘Electrolyzed Water’) for Sanitation of Meat and Meat-Contact Surfaces

‘Electrolyzed water’ generators are readily available in the food industry as a renewable source of hypochlorous acid that eliminates the need for workers to handle hazardous hypochlorite concentrates. We applied electrolyzed water (EW) directly to multi-strain cocktails of Listeria monocytogenes, E. coli O157:H7, and Salmonella sp. at 250 ppm free available chlorine (FAC) and achieved greater than 6-log reductions in 2 min. Lower EW values were examined as antimicrobial interventions for fresh meat (beef carcasses), processed meats (frankfurters), and food contact surfaces (slicing blades). Little or no reduction relative to controls was observed when generic E. coli-inoculated beef carcasses or L. monocytogenes-inoculated frankfurters were showered with EW. Spray application of EW (25 and 250-ppm FAC) onto L. monocytogenes-inoculated slicing blades showed that greater reductions were obtained with ‘clean’ (3.6 and 5.7-log reduction) vs. ‘dirty’ (0.6 and 3.3-log reduction) slicing blades, respectively. Trials with L. monocytogenes-inoculated protein-EW solutions demonstrated that protein content as low as 0.1% is capable of eliminating FAC, reducing antimicrobial activity against L. monocytogenes. EW appears better positioned as a surface sanitizer with minimal organic material that can otherwise act as an effective reducing agent to the oxidizing solution rendering it ineffective.
Nonlinear Fisher Discriminant Analysis for Classification

Introduction Machine learning algorithms for classification often perform poorly when the input space is high-dimensional. The generalization capability quickly decreases as the number of dimensions goes up, what is typically referred to as the curse of dimen-sionality. To maintain good generalization performance, one typically reduces the number of input features by selecting a small subset of relevant features (feature selection), or by mapping high-dimensional inputs into a lower dimensional feature space (feature extraction). This work focuses on Fisher Discriminant Analysis FDA (also referred to as Linear Discriminant Analysis LDA), which is the most commonly used method of feature extraction. The main goal of feature extraction for classification is to reduce the number of features without sacrificing the possibility to separate the classes well. In a first attempt, one could try to eliminate irrelevant features by defining a mapping into a lower dimensional space such that the covariance of the data is maximized (Principal Component Analysis). However, in many cases features with low variance could actually be essential for discrimination, and hence the approach is not suitable for our purpose. In practice, the most discriminating features are found by other criterions, such as the Fisher discriminant. Fisher discriminant analysis delivers the optimal linear mapping in the sense that it maximizes the proportion of between class scatter and within class scatter. But its limitation to finding only linear mappings is a serious one, since in many cases optimal separation can only be achieved via nonlinear transformations such as polynomials or radial basis functions. For this reason, several nonlinear extensions to Fisher discriminant analysis have been proposed. The main idea in all approaches is to first transform all input data by applying some nonlinear mapping, and afterwards to compute the Fisher criterion to find the best linear mapping. The approaches mainly differ by how the nonlinear mapping is defined and found. Santa Cruz and Dorronsoro (cf. [5]) proposed using Multilayer Perceptrons (MLP), where the weights are set by first or second order methods on the Fisher criterion. Casasent and Chen (cf. [4]) used a network of radial basis functions (RBF) whose means are initially set by a clustering technique. Recently, several researchers suggested the use of kernel functions
A combined forecasting method for traffic volume

In this paper, a combined forecasting method is proposed and applied to traffic volume prediction of 24 hours in advance, called long-term prediction. The combined forecasting model includes two important modules, Kalman filtering module and Markov chains prediction module. Kalman filtering is an optimal estimator which is widely used to eliminate the random errors. This paper mainly uses Kalman filtering to filter the noisy data of traffic volume and reduce the impact of noisy data for a prediction model. Markov chains prediction module can give the forecasting results based on the filtered data. And the forecasting result of traffic volume is a region enclosed by an upper curve and a lower curve. According to the error analysis, the effectiveness of the combined forecasting model is verified. Therefore, the forecasting region can be taken as an important foundation for urban road planning, design and management.
Effects of the protracted feeding of copper sulphate-supplemented diets to laying, domestic fowl on egg production and on specific tissues, with special reference to mineral content

1. Two experiments are reported. In both experiments a cereal-based diet containing 5 mg copper/kg was fed to two breeds of laying hens for 336 d. In Expt I four other groups were given this diet with the addition of CuSO4.5H2O to give added levels of 200, 400, 600 and 800 mg Cu/kg diet. In Expt 2 the levels of added dietary Cu used were 100, 200, 300 and 400 mg/kg. 2. In Expt I records were kept of food intake, water intake, body-weight and egg production for eight 28 d periods and body-weight and egg number only were recorded for the full twelve periods. In Expt 2 full records, excluding water intake, were taken for all twelve periods. 3. Food and water intake showed a quadratic response to level of added dietary Cu, being enhanced at lower levels and depressed at higher levels of addition. 4. There was a quadratic response of total egg weight, mean egg weight and egg number to added dietary Cu. In Expt I egg number was maximum at 235 mg added Cu/kg diet for Warren Studler SSL (breed I) and at 170 mg added Cu/kg diet for Shaver 288 (breed 2). In Expt 2 no breed effect occurred, the maximum egg number being calculated to occur at 176 mg added Cu/kg diet. 5. Depression of body-weight gain occurred at high lelvels of Cu addition. The depression of liver and oviduct weight found at high levels of addition appeared to be directly related to body-weight. A marked amount of feather loss also occurred at a high inclusion of CuSO4 in the diet. 6. The reproductive systems of the hens did not appear to be adversely affected at the levels of additive used. Gross and microscopic examination of specific tissues revealed no pathological effects although gizzard and intestinal weights were increased and caecal weight decreased by high levels of added Cu. Those aspects of the blood chemistry examined did not reveal any consistent effect between the two experiments. 7. The liver Cu analyses indicate that between 600 and 800 mg added Cu/kg diet liver Cu concentration rises sharply. Both liver Fe and Zn concentrations showed a positive linear response to added dietary Cu. In the kidney Cu and Zn concentrations were increased but only to a limited extent, while the concentration of Fe was unaffected.
SIR Asymptotics in General Network Models

In the performance analyses of wireless networks, asymptotic quantities and properties often pro- vide useful results and insights. The asymptotic analyses become especially important when complete analytical expressions of the performance metrics of interest are not available, which is often the case if one departs from very specific modeling assumptions. In this paper, we consider the asymptotics of the SIR distribution in general wireless network models, including ad hoc and cellular networks, simple and non-simple point processes, and singular and bounded path loss models, for which, in most cases, finding analytical expressions of the complete SIR distribution seems hopeless. We show that the lower tails of the SIR distributions decay polynomially with the order solely determined by the path loss exponent or the fading parameter, while the upper tails decay exponentially, with the exception of cellular networks with singular path loss. In addition, we analyze the impact of the nearest interferer on the asymptotic properties of the SIR distributions, and we formulate three crisp conjectures that -if true- determine the asymptotic behavior in many cases based on the large-scale path loss properties of the desired signal and/or nearest interferer only.
Public safety and commercial spectrum sharing via network pricing and admission control

Public safety and commercial communications have distinct performance objectives. The former requires a high availability (i.e., low blocking), both in normal times and during a disaster, whereas the latter requires a high network revenue performance in normal times. Therefore, public safety and commercial communications traditionally use separate networks, which results in either spectrum inefficiency or unsatisfactory performance. In this paper, we propose a public safety and commercial spectrum sharing strategy via intelligent network pricing and call admission control. We provide a precise characterization of the performance objectives of such a sharing strategy, which is to maximize the commercial revenue while guaranteeing a low blocking probability to public safety calls. We demonstrate through analysis and simulation that our sharing strategy simultaneously satisfies the objectives of both types of communications
Heterocyclic derivatives of 3-substituted-1,1,1-trifluoro-2-propanones as inhibitors of esterolytic enzymes.

A series of (alkylthio)trifluoropropanones containing a heterocyclic moiety was synthesized. The compounds were tested for in vitro inhibition of four hydrolytic enzymes including insect juvenile hormone esterase (JHE), eel acetylcholinesterase (AChE), yeast lipase (LP), and bovine alpha-chymotrypsin. The I50 values ranged from 10(-3) to 10(-7) M. 3-(2-Pyridylthio)-1,1,1-trifluoro-2-propanone was found to be the most potent inhibitor as compared to the other tested heterocyclic analogues with an I50 value of 98 nM against JHE from the fifth-instar larvae of Trichoplusia ni. Results from X-ray crystallography showed that the compound exists in a tetrahedral gem-diol form stabilized by an intramolecular hydrogen bond in the solid state. X-ray crystallography of a less potent inhibitor, 3-(4-pyridylthio)-1,1,1-trifluoro-2- propanone, showed that it also exists in the hydrated form, but it lacks an intramolecular hydrogen bond. These results provide indirect support that trifluoromethyl ketones are transition-state mimic inhibitors of esterases, and the bearing of the results on the transition-state mimic theory is discussed. The I50 values against AChE were in the micromolar range. Compounds containing a imidazolyl, triazolyl, and pyrimidyl moiety showed the highest inhibition of this enzyme. Differential selectivity of inhibition was associated with the bond distances between the nitrogen and the carbonyl group as in the natural substrate, when measured in the molecules in their minimal energy conformations. Inhibition of LP was moderate to weak, when compared to JHE and AChE. None of the tested compounds showed significant inhibition of alpha-chymotrypsin. (ABSTRACT TRUNCATED AT 250 WORDS)
A NEW APPROACH FOR REDUCING CACHE TIMING ATTACK IN ADVANCED ENCRYPTION STANDARD USING DCF ALGORITHM

Being accepted by many security related applications as the most secured cipher, The AES- Rijndael algorithm has a long successful existence in the field of global security. Despite of this, the AES is recently found to be broken theoretically. However, a few years back, Daniel Bernstein devised a cachetimingattack that was capable enough to break Rijndael’s seal that encapsulates the encryption key. Our paper proposes a new solution called Dynamic Cache Flushing (DCF) algorithm, which provides better security by encrypting key at a constant time over cache timing attack.