Miracle-dz/UniFAR-FTUs huggingface dataset:
Cholesterol-Bearing Polysaccharide-Based Nanogels for Development of Novel Immunotherapy and Regenerative Medicine

Novel functional biomaterials are expected to bring about breakthroughs in developing immunotherapy and regenerative medicine through their application as drug delivery systems and scaffolds. Nanogels are defined as nanoparticles with a particle size of 100 nm or less and as having a gel structure. Nanogels have a three-dimensional network structure of cross-linked polymer chains, which have a high water content, a volume phase transition much faster than that of a macrogel, and a quick response to external stimuli. As it is possible to transmit substances according to the three-dimensional mesh size of the gel, a major feature is that relatively large substances, such as proteins and nucleic acids, can be taken into the gel. Furthermore, by organizing nanogels as a building block, they can be applied as a scaffold material for tissue regeneration. This review provides a brief overview of the current developments in nanogels in general, especially drug delivery, therapeutic applications, and tissue engineering. In particular, polysaccharide-based nanogels are interesting because they have excellent complexation properties and are highly biocompatible.
The impact of social networking services (SNS) on college students' social relationship and private life

Social Networking Services (SNS) have played a significant role on the relationship among college students. They benefit a lot from such convenient tools; however, some drawbacks also have emerged. Thus, the purpose of this study was to investigate the advantages and disadvantages of SNS in order to help students take full advantage of such tools, as well as to help students avoid similar problems. A questionnaire was employed to explore this issue and 259 college students participated in the questionnaire. The findings revealed that participating in SNS frequently contribute to students’ social capital and social inclusions, and also enhance their self-esteem. Moreover, students are lack of the awareness of privacy protection when using SNS. Finally, more kinds of functions were proposed to be applied to the use of SNS according to the results of the questionnaire.
Modeling Link Quality for High-Speed Railway Networks Based on Hidden Markov Chain

To design efficient high-speed railway (HSR) communication systems, it is essential to characterize the wireless link quality. In this paper, we made a large amount of field investigations on link quality of HSR network, and built a practical model to reflect the changing pattern of link quality along HSR lines in terms of round trip time (RTT) and packet loss rate (PLR). After analyzing a great number of collected dataset of RTT and PLR we excitedly found that their behaviors presented an obvious two-scale time- varying phenomenon. To this end, we analyzed the potential reasons and further characterized link quality of HSR network using a generalized reference model based on hidden Markov chain. An improved forward induction algorithm was proposed to simulate the two-time-scale phenomenon of RTT and PLR. Evaluation results show that the proposed model is able to well reflect the network link quality varying along the HSR line with accuracies of 71.2% and 63.5% in terms of PLR and RTT. The proposed model can be used to guide the HSR link quality prediction and evaluation.
EXPERIMENTAL TEST FOR PREMUNITION IN A LIZARD MALARIA PARASITE (PLASMODIUM MEXICANUM)

Premunition in Plasmodium spp. is the prevention of superinfection by novel genotypes entering an already established infection in a vertebrate host. Evidence for premunition was sought for the lizard malaria parasite, P. mexicanum, in its natural host, the fence lizard, Sceloporus occidentalis. Clonal diversity (= alleles for the haploid parasite) was determined with the use of 3 microsatellite markers. Both naturally infected lizards (N = 25) and previously noninfected lizards (N = 78) were inoculated intraperitoneally (IP) with blood from donor infections and followed over a 3-mo period. Compared to the success of clonal establishment in all the naive lizards (78/78 successful), clones entering preexisting infections had a significant disadvantage (9/25 successful). The number of preexisting clones (1–2 vs. 3–4) within recipient infections had no effect on the success of superinfection. Infections that excluded entering novel clones did not have higher initial asexual parasitemia, but had a higher initial density of gametocytes, suggesting they were older. Infections allowing superinfection experienced a higher final parasitemia.
Cooperative Fuzzy Q-Learning for self-organized coverage and capacity optimization

The paper presents a self-organized approach for coverage and capacity optimization by vertical antenna tilt adaptation. The approach is based on Cooperative Fuzzy Q-Learning and operates in a fully autonomous manner. To speedup the learning process, the proposed learning mechanism is cooperative in exploration phase and fully distributed in exploitation phase. The solution is capable of handling diverse network scenarios like initial configuration of antenna tilt at deployment, optimization of tilt during network operation and recovery from an outage in the neighborhood. This can significantly save the operational expenditure (OPEX) by minimizing the costly manual optimizations. For performance evaluation, system level simulations of LTE networks are performed and the results show that cells can learn to quickly converge to the global optimal configurations in normal operation and deployment phases. Moreover, dynamic antenna tilt adaptation can also deliver higher performance than networks with fixed configurations during cell outages in the neighborhood.
Asymptotic moments for interference mitigation in correlated fading channels

We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deterministic approximations of their moments. This random matrix model arises in several wireless communication systems of recent interest, such as distributed antenna systems or large antenna arrays. Computing the linear minimum mean square error (LMMSE) detector in such systems requires the inversion of a large covariance matrix which becomes prohibitively complex as the number of antennas and users grows. We apply the derived moment results to the design of a low-complexity polynomial expansion detector which approximates the matrix inverse by a matrix polynomial and study its asymptotic performance. Simulation results corroborate the analysis and evaluate the performance for finite system dimensions.
Study on Groundwater Quality around Saroornagar Mandal in Hyderabad, Telangana

Indian subcontinent has blessed with abundant water resources in the form perennial rivers and subsurface water. Every citizen of this country has the responsibility and duty towards protecting these most precious resources. Yet there is a scenario in India that thousands of people from different region are deprived of this due to over exploitation, poor management system. In this line, we have selected Saroor Nagar Mandal in Hyderabad City of Telangana state for conducting a model study on assessing groundwater quality. The study has been carried out in 6 locations of Saroornagar Mandal during pre-monsoon and post monsoon seasons by collecting 12 nos of bore water samples. Nine parameters were chosen for the analysis such as Temperature, pH, EC, Total dissolved solids, Total hardness, Calcium hardness, Turbidity, Chlorides and Bicarbonates. Finally, results of the analysis were compared with water quality standards such as BIS 10500 (1991) and CPHEEO manual of water sample and treatment. From this study, it was observed that calcium content was higher in few locations while other parameters were within the permissible limits. Citation: Arulneyam D, Premsudha R (2018) Study on Groundwater Quality around Saroornagar Mandal in Hyderabad, Telangana. J Earth Sci Clim Change 9: 483. doi: 10.4172/2157-7617.1000483
Monte Carlo Probabilistic Data Association Detector for SFBC-VBLAST-OFDM System

In this paper, we propose a spatial multiplexing and diversity joint transmit structure for MIMO-OFDM system where space-frequency block coding (SFBC) is used over all spatial multiplexing layers to obtain both space diversity and frequency diversity gain. We have derived a Monte Carlo probabilistic data association (PDA) detector to get a better bit error rate (BER) performance compared to generic PDA detector. Computer simulation results show that the proposed detector can reduce the intersymbol interference (ISI) greatly, and improve the system performance significantly while the computation complexity has been lower to a proper lever.
Lightweight IO virtualization on MPU enabled microcontrollers

In the era of the Internet of Things (IoT), millions of devices and embedded platforms based on low-cost and limited resources microcontroller units (MCUs) will be used in continuous operation. Even if over-the-air firmware update is today a common feature, many applications might require not to reboot or to support hardware resource sharing. In such a context stop, update and reboot the platform is unpractical and dynamic loading of new user code is required. This in turn requires mechanisms to protect the MCU hardware resources and the continuously executing system tasks from uncontrolled perturbation caused by new user code being dynamically loaded. In this paper, we present a framework which provides a lightweight virtualization of the IO and platform peripherals and permits the dynamic loading of new user code. The aim of this work is to support critical isolation features typical of virtualization-ready CPUs on low-cost low-power microcontrollers with no MMU (Memory Management Unit), IOMMU or dedicated instruction extensions. Our approach only leverages the Memory Protection Unit (MPU), which is generally available in all ARM Cortex-M3 and Cortex-M4 microcontrollers. Experimental evaluations demonstrate not only the feasibility, but also the really low impact of the proposed framework in terms of memory requirements and runtime overhead.
Dual Labeling: Answering Graph Reachability Queries in Constant Time

Graph reachability is fundamental to a wide range of applications, including XML indexing, geographic navigation, Internet routing, ontology queries based on RDF/OWL, etc. Many applications involve huge graphs and require fast answering of reachability queries. Several reachability labeling methods have been proposed for this purpose. They assign labels to the vertices, such that the reachability between any two vertices may be decided using their labels only. For sparse graphs, 2-hop based reachability labeling schemes answer reachability queries efficiently using relatively small label space. However, the labeling process itself is often too time consuming to be practical for large graphs. In this paper, we propose a novel labeling scheme for sparse graphs. Our scheme ensures that graph reachability queries can be answered in constant time. Furthermore, for sparse graphs, the complexity of the labeling process is almost linear, which makes our algorithm applicable to massive datasets. Analytical and experimental results show that our approach is much more efficient than stateof- the-art approaches. Furthermore, our labeling method also provides an alternative scheme to tradeoff query time for label space, which further benefits applications that use tree-like graphs.
Kriging assisted determination of the optimal geometry and covering material for a bushing shield

This paper presents the principle of bushing shield size, position and its covering material determination, based on the optimization algorithm. An optimization procedure has been carried out using a differential evolution (DE) algorithm combined with a solver of the software tool EleFAnT, which is used for solving computationally expensive parametrically-written bushing FEM model. The goal of this research is to accelerate the optimization process, respectively to reduce the computational cost by introducing the Kriging metamodeling.
Utility-based power control for a two-cell CDMA data network

Power allocation across users in two adjacent cells is studied for a code-division multiple access (CDMA) data service. The forward link is considered and cells are modeled as one-dimensional with uniformly distributed users and orthogonal signatures within each cell. Each user is assumed to have a utility function that describes the user's received utility, or willingness to pay, for a received signal-to-interference-plus-noise ratio (SINR). The objective is to allocate the transmitted power to maximize the total utility summed over all users subject to power constraints in each cell. It is first shown that this optimization can be achieved by a pricing scheme in which each base station announces a price per unit transmitted power to the users, and each user requests power to maximize individual surplus (utility minus cost). Setting prices to maximize total revenue over both cells is also considered, and it is shown that, in general, the solution is different from the one obtained by maximizing total utility. Conditions are given for which independent optimization in each cell, which leads to a Nash equilibrium (NE), is globally optimal. It is shown that, in general, coordination between the two cells is needed to achieve the maximum utility or revenue.
Dynamical model of weak pion production reactions

The dynamical model of pion electroproduction developed by Sato and Lee [Phys. Rev. C $63,$ 055201 (2001)] has been extended to investigate the weak pion production reactions. With the conserved vector current hypothesis, the weak vector currents are constructed from electromagnetic currents by isospin rotations. Guided by the effective chiral Lagrangian method and using the unitary transformation method developed previously, the weak axial vector currents for $\ensuremath{\pi}$ production are constructed with no adjustable parameters. In particular, the $N\ensuremath{-}\ensuremath{\Delta}$ transitions at ${Q}^{2}\ensuremath{\rightarrow}0$ are calculated from the constituent quark model and their ${Q}^{2}$ dependence is assumed to be identical to that determined in the study of pion electroproduction. The main feature of our approach is to renormalize these bare $N\ensuremath{-}\ensuremath{\Delta}$ form factors with the dynamical pion cloud effects originating from the nonresonant $\ensuremath{\pi}$ production mechanisms. The predicted cross sections of neutrino-induced pion production reactions, $N({\ensuremath{\nu}}_{\ensuremath{\mu}},{\ensuremath{\mu}}^{\ensuremath{-}}\ensuremath{\pi})N,$ are in good agreement with the existing data. We show that the renormalized (dressed) axial $N\ensuremath{-}\ensuremath{\Delta}$ form factor contains large dynamical pion cloud effects and these renormalization effects are crucial in getting agreement with the data. We conclude that the $N\ensuremath{-}\ensuremath{\Delta}$ transitions predicted by the constituent quark model are consistent with the existing neutrino-induced pion production data in the $\ensuremath{\Delta}$ region, contrary to the previous observations. This is consistent with our previous findings in the study of pion electroproduction reactions. However, more extensive and precise data of neutrino-induced pion production reactions are needed to further test our model and to pin down the ${Q}^{2}$ dependence of the axial vector $N\ensuremath{-}\ensuremath{\Delta}$ transition form factor.
Fully human anti-BAFF inhibitory monoclonal antibody tabalumab does not adversely affect T-dependent antibody responses in cynomolgus monkey (Macaca fasicularis): A summary of three pre-clinical immunotoxicology evaluations

Abstract The potential immunotoxicity of tabalumab was assessed as a component of standard pre-clinical toxicology studies in cynomolgus monkeys. To evaluate potential tabalumab-associated immunosuppression after antigen challenge, cynomolgus monkeys were administered placebo control or tabalumab in three immunotoxicological safety studies. Study 1, a 4-week pilot study, evaluated biweekly intravenous (IV) control, and 0.3, 1.0, 5.0, and 15.0 mg/kg tabalumab doses. Study 2 evaluated IV control, and 0.1, 1.0, and 30.0 mg/kg tabalumab doses biweekly for 6 weeks. Study 3 evaluated IV control and 0.1, 1.0, 30.0 mg/kg, and subcutaneous (SC) 30.0 mg/kg tabalumab biweekly for 6 months, with recovery (16 weeks) to monitor standard immunotoxicity endpoints. T-cell dependent primary and secondary antibody responses to tetanus toxoid antigen challenge (4-week and 6-week studies) or keyhole limpet hemocyanin (KLH; 6-week and 6-month studies) were evaluated as a measure of immunocompetence, together with quantitation of T- and B-cell subsets. In addition, anti-tabalumab antibody formation (6-week and 6-month studies) was assessed. The results indicated that, despite expected decreases in circulating B-cell populations, no changes in follicle histopathology or organ weights, except decreases in spleen weight (after 6-months of 30 mg/kg IV/SC treatment only), were attributed to tabalumab. Non-adverse microscopic decreases in size or number of germinal centers in spleen, mesenteric, and mandibular lymph nodes occurred, but without an effect on antibody responses to KLH or tetanus. At 16-weeks recovery, microscopic compound-related changes observed after 6 months of treatment were completely reversed (0.1 mg/kg group) and partially reversed (1.0 and 30.0 mg/kg groups), while peripheral blood B cells remained 66–72% reduced from baseline. Despite reduced germinal centres in lymphoid organs, and reductions in circulating B cells, T-cell-dependent humoral immunity was maintained following tabalumab administration in three safety studies in cynomolgus monkeys.
Stable Isotope Approaches in Vadose Zone Research

This special section focuses on stable isotopes approaches in the vadose zone. Recent advances and challenges in stable isotope approaches are summarized. Isotopes are used to study flow, transport, geochemical, and ecohydrological processes. The articles present key findings in analytical and modeling developments. Results can improve understanding of water flow and contaminant transport in the critical zone.
The Impacts of Diabetes Education on Self Care Agency , Self-Care Activities and HbA 1 c Levels of Patients with Type 2 Diabetes : A Randomized Controlled Study

Background: Uncontrolled levels of blood glucose is the basic p roblem in patients with diabetes. So, aim of the diabetes management is to control the glycemia and to prevent the complications. The question of how t help the individuals with diabetes for self-care activities in order to improve the glycemic control is importa nt, with in the perspective in nursing. Aim: The study aims to investigate the effects of diabe tes ducation based on the self-care deficit nursin g theory (SCDNT) on the self-care agency, self-care activiti es, and HbA1c levels of patients with type 2 diabet es. Methodology: The study is a double-blind, randomized, controlle d intervention study. With the block-randomized method, 70 patients were assigned to the interventi on group and 69 patients to the control group. Foll owing the pre-test, in April 2012 the intervention group rece ived self-management education based on SCDNT. To c ompare the intervention and control groups t test was used in independent groups and also it was used to evaluate the intra-groupal differences in dependent groups. Intention to treat an lysis was also performed because of missing dat a. Results: After the SCDNT-based diabetes self-management edu cation, a statistically significant difference was observed in the self-care agency between the two gr oups (p< .05) but there was no significant differen ce in HbA1c and self-care activites between the two groups. When th pretest and posttest scores were analyzed, the in terve tion group scores after interventions for self-care agency and self-care activity were significantly higher, and HbA1c was significantly lower than the scores at pre-interven tion (p<0.05). Control group scores showed no diffe rence at the initial and 6th month of the study (p>0.05). Conclusions: Following the self-management education based on S CDNT, self care agency and self-care activity and the glisemic control of the individuals with diabet es in intervention group were improved. SCDNT was a good guide in planning the study and for the self-management e ducation.
1 Etiopathogenesis of Epstein Barr Virus ( EBV ) in Periodontal Disease :

The purpose of this review is to fill the gap in knowledge of etiopathogenesis of human virus in periodontal diseases. Viruses may play an important role in pathogenesis of periodontal diseases. The role of viruses is significant, as they may induce abnormalities in the adhesion, chemotaxis, phagocytosis, and bactericidal activities of polymorphonuclear leukocytes. Associated with one another, viruses and bacteria have stronger periodontopathogenic potential than individually. It has also been suggested that gingival infection with certain herpes viruses, decreases the resistance of the periodontal tissue, thereby permitting subgingival overgrowth of periodontal pathogenic bacteria and thus, indirectly leading to periodontitis. For full understanding of viruses in periodontal disease, it is significant to know all etiologic factors and such an insight would lead to the better treatment of the disease.
Cytometry and genetics

FLOW CYTOGENETICS Flow cytometric analyses of individual chromosomes were made possible by the development of techniques for isolating intact chromosomes (1) and by procedures for staining chromosomes with DNA-specific fluorescent dyes. The term flow cytogenetics (2) was coined in the early 1980s to describe the application of flow cytometry and sorting to chromosome classification and purification. Two publications that appeared in 1975 described highresolution measurements of single mammalian chromosomes in a flow cytometer (3,4) and illustrated the use of sorting for chromosome purification (3). Although singlecolor measurements were an exciting development and a portent of what was to come, the development of twocolor staining provided the resolution needed to separate most of the human chromosomes. The introduction of Hoechst and chromomycin staining of mammalian chromosomes in 1979 (5) provided the breakthrough that allowed flow cytogenetics to achieve the successes described below. The ability to distinguish among individual chromosome types provided the first opportunities to distinguish and purify them in quantities suitable for visual, chemical, and molecular analyses. Initial sorting studies allowed chromosome types to be associated with flow karyotype peaks and provided chromosomes in a form that could be used for multiple purposes.