Miracle-dz/UniFAR-FTUs huggingface dataset:
Resolvin E1 (R v E 1 ) attenuates LPS induced inflammation and subsequent 1 atrophy in C2C12 myotubes 2

Resolution of inflammation is now known to be an active process which in part is 28 instigated and controlled by specialised pro-resolving lipid mediators (SPM’s) derived 29 from dietary omega-3 fatty acids. Resolvin E1 (R v E 1 ) is one of these SPM’s derived 30 from the omega-3 fatty acid eicosapentaenoic acid. Using both molecular and 31 phenotypic functional measures we report that in a model of Lipopolysaccharide 32 (LPS) induced inflammation, R v E 1 attenuated mRNA gene expression levels of both 33 interlukin-6 and monocyte chemoattractant protein-1 whilst having no effect on 34 tumour necrosis factor- α or Interlukin - 1β in C2C12 skeletal muscle myotubes. 35 Findings at the molecular level were transferred into similar changes in extracellular 36 protein levels of the corresponding genes with the greatest attenuation being noted 37 in IL-6 protein concentrations. R v E 1 instigated beneficial morphological changes 38 through the prevention of endotoxin induced skeletal muscle atrophy, thus resulting 39 in a rescue of endotoxin force losses in tissue engineered skeletal muscle. These 40 findings demonstrate, in our model of endotoxin induced inflammation in skeletal 41 muscle, that R v E 1 has pro-resolving properties in this cell type. Our data provides 42 rationale for further investigation into the mechanistic action of R v E 1 in skeletal 43 muscle, with the vision of having potential benefits for the prevention/resolution of in- 44 vivo skeletal muscle atrophy.
IMPROVING CONSTRAINED NONLINEAR SEARCH ALGORITHMS THROUGH CONSTRAINT RELAXATION

In this thesis we study constraint relaxations of various nonlinear programming (NLP) algorithms in order to improve their performance. For both stochastic and deterministic algorithms, we study the relationship between the expected time to find a feasible solution and the constraint relaxation level, build an exponential model based on this relationship, and develop a constraint relaxation schedule in such a way that the total time spent to find a feasible solution for all the relaxation levels is of the same order of magnitude as the time spent for finding a solution of similar quality using the last relaxation level alone. When the objective and constraint functions are stochastic, we define new criteria of constraint satisfaction and similar constraint relaxation schedules. Similar to the case when functions are deterministic, we build an exponential model between the expected time to find a feasible solution and the associated constraint relaxation level. We develop an anytime constraint relaxation schedule in such a way that the total time spent to solve a problem for all constraint relaxation levels is of the same order of magnitude as the time spent for finding a feasible solution using the last relaxation level alone. Finally, we study the asymptotic behavior of our new algorithms and prove their asymptotic convergence, based on the theory of asymptotic convergence in simulated annealing and constrained simulated annealing.
DIAGNOSTIC PROGNOSTIC AND THERAPEUTIC ROLE OF MICRORNA IN CARDIOVASCULAR DISEASES

: Cardiovascular diseases are the main cause of death in the global world and are associated with increasing financial expenses. By the availability of next-generation sequencing technologies since the early 2000s, non-coding RNAs such as microRNAs, long non-coding RNAs and circular RNAs have been recognized as therapeutic target for many diseases, including cardiovascular diseases. In this Review, we will summarize current approaches to screen for novel coding and non-coding RNA candidates with diagnostic and therapeutic potential in cardiovascular disease, including next-generation sequencing, functional high-throughput RNA screening and single-cell sequencing technologies. We highlight viral-based delivery tools that have been widely used to evaluate the therapeutic utility of both coding and non-coding RNAs in the context of cardiovascular disease. Finally, we discuss the potential of using oligonucleotide-based molecular products such as modified RNA, small interfering RNA and RNA mimics/inhibitors for the treatment of cardiovascular diseases. The number of potential RNAs diagnostic and therapeutic targets for cardiovascular diseases will continue to expand for years to come. The effect of ischemia-reperfusion on miRNAs in the rat heart was evaluated by Tang et al . The authors found that levels of miR-1, miR-126 and miR-208 were increased while miR-21, miR-133 and miR-195 levels had decreased. Botjancic and colleagues analyzed cardiac tissue samples of 50 patients who had died from MI as well as eight formerly healthy trauma victims. The authors found miR-208 upregulated in infarcted tissue whereas miR-1, miR-133a/b was downregulated compared with healthy controls.
A Season-Wise Long-term Travel Spots Prediction Based on Markov Chain Model in Smart Tourism

Background/Objectives : Tourism plays a pivotal role in the development of a country and prediction of tourist movement can help in devising sustainable policies which in turn benefit in promoting and developing tourism. The movements of sightseers can help in estimating the amount of revenue generated for that particular sight. However, the preferences of these sightseers may change overtime and depends greatly on seasons. Therefore, a sight considered famous for one season is not that much popular for another season. Methods/Statistical analysis: This paper proposes a probabilistic approach using Markov Chain model to predict the recommended places of Jeju Island for each season. Real data is collected from different locations using routers which are installed on each location. The proposed method is evaluated on the data and the tourist places are recommended for each season based on the steady state probabilities of each spot. Findings : By applying the Markov Chain Model, the proposed approach accurately analyses the stochastic behavior of the data and recommend the places for each season which are predicted to be the top visiting places. The top places which are found to be equally popular across all seasons are Seongsan Ilchul and Seopjikoji. Improvements/Applications: The data is analyzed with respect to the collected data and the popularities of the locations are found without considering the reason of the population. An improvement could be considering distance and other factors to correlate with the popularity of a certain location.
Vivo Requires Cognate TLR3 Expression In Immunity to Herpes Simplex Virus Type 1 Cutting Edge: Priming of CD8 T Cell

Despite its potential for involvement in viral immunity, little evidence links TLR3 to adaptive antiviral responses. Here we show that TLR3 is required for the generation of CD8 T cell immunity to HSV-1. The magnitude of the gB-speciﬁc CD8 T cell response after ﬂank infection by HSV-1 was signiﬁcantly reduced in mice lacking TIR domain-containing adaptor-induc-ing IFN- b or TLR3, but not MyD88. Impaired CTL induction was evident in chimeric mice lacking TLR3 in bone marrow (BM)-derived cells. Among the dendritic cell subsets, TLR3 was expressed by CD8 a + dendritic cells, known to be involved in priming HSV-1– speciﬁc CD8 T cells. Use of mixed BM chimeras re-vealed that TLR3 and the MHC class I-restriction el-ement must be expressed by the same BM-derived cell for effective priming. These data imply that a cognate linkage between TLR3 and MHC class I is required for efﬁcient CTL priming to HSV-1. 000–000.
Enhancing Image Fusion – Pseudo Colour Multi-Scale Approach

: The existing system approach concentrates on the colour fusion of both day and night imagery’s, but they are less naturalistic for images containing regions that differ significantly in the coloured content. Even though colour mapping methods matches the statistical properties of the both day and night images, the accuracy of the colouring is very much depended on how well target and source images matches. To achieve accuracy, of colouring and naturalistic fusion this method uses a multi-scale scheme for image fusion using EM algorithm and pseudo colour-transfer algorithm. The fusion algorithm accomplishes YUV space. The Y component is obtained from the result of IR and visible image fusion, by which the original images are fused in non sub sampled contour let domain by using EM algorithm. U and V components come by a ratio of local to global divergence of the IR and visible image. The experimental result demonstrate that a better fusion performance with compare to traditional colour image fusion methods, which meets the requirement of accuracy colouring and naturalistic colour fusion.
Kinematical properties of the members of Hickson group No. 90

We present here stellar radial velocity and velocity dispersion profiles along several position angles for the four members of Hickson's Compact Group No. 90. In order to reach fainter light levels and to measure the effects of tidal interactions on the kinematics, the data have been processed with a new vectorial adaptive filtering technique. We find that a strong, slow interaction is beginning to take place between NGC 7173 and NGC 7174 and that NGC 7176 is virtually undisturbed. The kinematical data can be used to put constraints on the geometry of the encounter. NGC 7173 is closer to the observer than NG 7174, while the latter is receding from the companion at a velocity of ∼ 280 km s −1 stripping the outer regions of NGC 7173
Multilingual Information Access for Digital Libraries: the Role of CLEF within DELOS

Multilingual information access and cross-language search and retrieval are key issues for digital libraries. For this reason, DELOS has continued to support the activities of the Cross-Language Evaluation Forum (CLEF), which has the promotion of research in multilingual information retrieval system development as its main goal. This paper describes the evolution of CLEF over the last seven years, illustrates the main results, and provides some recommendations for future work in this area.
Invisibility of impact from customer demand and relations between processes in Overall Equipment Effectiveness (OEE)

Customer demand is crucial in production planning and capacity expenditure. In fact, variation of production rate with respect to customer demand affects the performance of a production system due to the existence of relations between processes. Simulation model has been established in this study to represent a production line in aerospace part-manufacturing company. Different production rates are simulated to examine the impact from the circumstances only emphasizes on maximization of availability or equipment utilization. On the other hand, bottleneck process with critical utilization is introduced to examine interrelationship among processes. The results show that higher equipment utilization or availability ratio as promoted by Overall Equipment Effectiveness (OEE) is not always Lean especially when the blocking phenomena occurs and relations between processes has been ignored. High availability is preferable under OEE although it consumes excessive resources and results in unnecessarily higher throughput to fulfill particular demand. Besides, bottleneck process could lead to lower equipment utilization of customer processes that it connects with. The so-called interrelationship between processes is invisible under OEE which focuses on individual process. In order to justify the findings, performance ratio under OEE is computed and it shows that delay propagation of bottleneck process is not quantified. None of the increase in waiting time and lead time of each entity spends is considered in OEE. The hidden wastes exist because OEE promotes maximum resource utilization without considers demand required and on-time delivery of entity. In short, it is important to consider effectiveness of both entity and equipment by respecting the customer demand and impact of interrelationship between processes onto the entire production system.
Contact Management Using QR Code

-At present the business card is found to be one of the most important communication media to get connect with various businesses. QR code in context is used to generate the business card as the various mobile platforms like android, iOS, and Symbian makes use of revolutionizing QR code Technology in mobile devices. There are various business cards generating applications already exists in the market but they have some limitations. This paper discusses Contact Management Using QR Code android application which overcomes the limitations of the existing applications. The discussed application provides the feature of maintaining category wise contacts using QR code and facilitates editing of business card and contact during generation of QR code which get display on mobile screen.
A Comparative Study Of Traditional Authentication And Authorization Methods With Block Chain Technology For E Governance Services

With the increase in communication channels between various stakeholders in e Governance scenario, offering secure e-Services by means of Authentication and Authorization became a crucial part. The multi factor authentication (MF) provides better protection effectively than the age old password based authentication. Governments are making efforts to establish multi factor authentication without comprising on provisioning the e-services. https://journalnx.com/journal-article/20150679
Analysis of the Performance of Droop Controlled Inverters in Various Conditions

DC-AC Converters (inverters) are frequently employed as interfaces of distributed power sources and energy storage units to ac distribution grids. The approach of operating them as a voltage source with droop based control loops and using locally measured quantities offers an effective way to control the amount of active and reactive power they provide/absorb. In this way, fluctuating renewable energy sources, such as photovoltaic (PV) and wind, can help with power balancing, while grid forming units can better share load variations without dedicated communication channels. Besides, it can allow a smooth transition of a micro-grid from the grid-tie to the autonomous mode in case of a grid fault. However, the dynamic response and steady state operation of a system with droop controlled inverters depends quite a bit on systems parameters, such as feeder impedances, as well as on the droop characteristics of the other units, what is not usually known. This work focuses on the analysis of the performance of droop controlled inverters operating in various conditions. First, a 10 kVA three-phase inverter with a dq (vector) voltage control loop and active power (P) vs. frequency (f) and reactive power (Q) vs. grid voltage magnitude (V) droop characteristics is designed. Then, its behavior when operating connected to a stiff grid is investigated. Time domain simulations with SIMULINK and the technique of root locus, for which a small signal model is derived, are used to observe how the droop factors, frequency of the low pass filters used in the power measurements and feeder impedance affect the dynamic response. Next, the operation of two grid forming inverters in an autonomous micro-grid is considered. Again, the performance of the system is investigated with time domain simulations and root locus. The need for a virtual impedance loop as a means for allowing large droop factors to be used along with feeders with small inductances is observed and the effectiveness of this technique is demonstrated. The adverse impact of the conventional virtual impedance loop on the load voltage regulation is observed and an alternative implementation that minimizes this problem is proposed and its effectiveness is demonstrated. Finally, an autonomous micro-grid consisting of an inverter and a diesel engine generator set (genset) is studied. Time domain simulations are used to show that when the speed of response, in terms of power, of two grid forming units is very different, the smallest one can be overloaded. An approach for slowing down the fastest unit is proposed to minimize this issue.
Effect of marketable ages on meat quality through fiber characteristics in goose

Background: Goose meat is more and more popular among consumers because of its good quality. The fiber characteristics, as a key determinant factor, contributing to meat quality has been well demonstrated, and the marketable ages are also closely related to meat quality in livestock and chicken. However, little is known about the effect of different marketable ages on the meat quality through fiber characteristics in goose. Results: Here, 1-day, 28-day and three market-age old (70, 90 & 120 days) Yangzhou geese were selected and their fiber characteristics were investigated. The results showed that only fast-twitch fibers were observed in the breast muscle irrespective of the ages, while little slow-twitch fibers could be identified in leg muscle in three marketable ages, especially in gastrocnemius and extensor digitorum longus. As for the fiber diameter, a rapid upward trend was observed in breast muscle from 70 days to 90 days, and the corresponding values were 19.88 to 26. 27μm, respectively, and it remained stable 90d thereafter. While the diameter and cross-sectional area of muscle fiber in leg muscle increased with ages. In addition, the proximate composition and physical properties was measured at different ages. 120-day-old geese had richer intramuscular fat and protein content both in breast and leg meat, as well as lower moisture content among three marketable ages. The higher lightness and pressing loss and the lower redness and shear force was observed in the breast and leg meat of 70-day-old geese compared with the 90 and 120-day-old geese. Conclusions: Taken together, although longer marketable age did not affect muscle fiber type in geese, it resulted in a thicker muscle fiber area, richer intramuscular fat and protein content, redder and chewier meat. As a result, the reasonable marketable age should be taken into account to improve the meat quality in the goose production.
Prostaglandin-mediated closure of paracellular pathway and not restitution is the primary determinant of barrier recovery in acutely injured porcine ileum

SUMMARY Small bowel epithelium is at the frontline of intestinal barrier function. Restitution is considered to be the major determinant of epithelial repair as function recovers in parallel with restitution after acute injury. As such, studies of intact mucosa have largely been replaced by migration assays of cultured epithelia. These latter studies fail to account for the simultaneous roles played by villous contraction and paracellular permeability in recovery of barrier function. Non-steroidal anti-inflammatory drugs (NSAID) result in increased intestinal permeability and disease exacerbation in patients with IBD. Thus, we examined the reparative attributes of endogenous prostaglandins (PG) after injury of ileal mucosa by deoxycholate (6 mM) in Ussing chambers. Recovery of transepithelial resistance (TER) from 20–40 Ω . cm 2 was abolished by indomethacin (INDO), whereas restitution of 40–100% of the villous surface was unaffected despite concurrent arrest of villous contraction. In the presence of PG, resident crypt and migrating epithelial cells were tightly apposed. In tissues treated with INDO, crypt epithelial cells had dilated intercellular spaces that were accentuated in the migrating epithelium. TER was fully rescued from the effects of INDO by osmotic-driven collapse of the paracellular space and PG-mediated recovery was significantly impaired by blockade of Cl − secretion. These studies are the first to clearly distinguish the relative contribution of paracellular resistance versus restitution to acute recovery of epithelial barrier function. Restitution was ineffective in the absence of PG-mediated paracellular space closure. Failure of PG-mediated repair mechanisms may underlie barrier failure resulting from NSAID use in patients with underlying enteropathy.
Studying the Influence of Illumination Design in Quality Inspection on Vaccine Vials Production Line Using Computer Vision

In the industrial context, there are key factors that directly affect the system’s efficiency. Higher demands for both quantity and quality in today’s market call for constant research and development of technologies for automating production and quality control. Machine vision is a solution to increase speed and accuracy in defect detection. However, applications from machine vision are only effective if there is good data input. This is the reason why a machine vision system, needs high-quality input images from a well-designed illumination system. These illumination systems are designed to highlight faults in products. Therefore, the images obtained will provide optimized data for easier image processing thus directly increase the processing speed, accuracy, and overall system performance. To achieve this goal, this paper presents a few approaches to enhance and optimize images by implements illumination techniques into a miniature model of pharmaceutical bottle assembly line using machine vision as the inspector block. In this paper, we will evaluate the critical needs of using customize illumination system for quality inspection on an assembly line.
SignalingCannot Be Restored by Increased TCR Cytolytic Function in the Absence of LFA-1 T Cell Activation and + Defective CD8

1 Signaling through the TCR as well as engagement of costimulatory molecules are required for efﬁcient T cell activation and progression into differentiated effector cells. The b 2 integrin LFA-1 (CD11a/CD18) has been implicated in TCR costimulation as well as in cell-cell adhesion function, but its exact role is still ambiguous. The present study focuses on the requirement for LFA-1 in CD8 1 T cell activation and effector function using LFA-1-deﬁcient cells expressing the 2C transgenic TCR as a model system. The lack of LFA-1 expression in 2C T cells resulted in severely diminished proliferative response toward allogeneic BALB/c splenocytes. Increase in TCR signaling alone by pulsing stimulators with high afﬁnity peptides, p2Ca or QL9, had minimal effects in restoring proliferation. Addition of exogenous IL-2, however, enhanced the effect of peptide pulsing on proliferation of LFA-1-deﬁcient 2C T cells. LFA-1-deﬁcient 2C CTLs generated from alloantigen stimulation exhibited a defective cytotoxic activity when tested on a variety of target cells. Cytolysis could be improved, but not fully rectiﬁed by peptide pulsing of target cells. Thus, in the 2C TCR model, LFA-1 has a requisite role for optimal CD8 1 T cell activation and effector function, which cannot be overcome by increasing peptide/MHC density on either the APCs or target cells, respectively. The Journal of Immunology, 1999, 163: 4826–4832.
Using Street View Imagery and Computer Vision Method for Visual Walkability Measurement in London

Walking, as a friendly mode of transport, also contributes to physical and psychological well-being. However, since the 20 th century, the rapid development of modern road networks and urban architecture has led to degradation in the quality of walking environments in major cities such as London. This research aims to evaluate the Integrated Visual Walkability (IVW) index in Inner London, reflecting pedestrians’ walking experiences, and analyze the outcomes in consideration of the physical environment. The results contribute to develop strategies for London walkability optimization and improve upon the urban planning, and subsequently encourage people to walk more.