Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences among Three Branded Formulations of Hyaluronic Acid: Data from Environmental Scanning Electron Microscope Profile, Rheology Behavior and Biological Activity

Hyaluronic Acid (HA), or hyaluronan, is a polysaccharide composed of a repeated disaccharide unit of β-1,4-D-glucuronic acid - β-1,3-N-acetyl-D-glucosamine linked by glycosidic bonds.
dearseq: a variance component score test for RNA-seq differential analysis that effectively controls the false discovery rate

RNA-seq studies are growing in size and popularity. We provide evidence that the most commonly used methods for differential expression analysis (DEA) may yield too many false positive results in some situations. We present dearseq, a new method for DEA which controls the FDR without making any assumption about the true distribution of RNA-seq data. We show that dearseq controls the FDR while maintaining strong statistical power compared to the most popular methods. We demonstrate this behavior with mathematical proofs, simulations, and a real data set from a study of Tuberculosis, where our method produces fewer apparent false positives.
ETHOLOGICAL STUDY OF FREE-RANGE HENS WITH ZINC AND VITAMIN C SUPPLEMENTED DIET

Bozakova, N. , V. Gerzilov and L. Sotirov, 2017. Ethological study of free-range hens with zinc and vitamin c supplemented diet. Bulg. J. Agric. Sci., 23 (2): 289–297 The study was designed to examine the effects of a dietary supplementation with zinc (35 mg/kg) and vitamin C (250 mg/ kg) on the behaviour and plasma corticosterone in New Hampshire NG-line hens reared under free range conditions (sleeping pens and outdoor walking yards) during cold (7°C), thermoneutral and hot (31°C) subperiods. Hens’ behaviour was recorded by video cameras. Blood plasma corticosterone was assayed by ELISA. In all birds, both low and high ambient temperatures, combined with high light intensity, induced a signifi cant increase in plasma corticosterone compared to the thermoneutral period (P < 0.01). During those periods hens were more aggressive which indicated poorer welfare. Hens supplemented with either zinc or zinc + vitamin C had lower plasma corticosterone than controls. Dietary zinc, either alone or co-administered with vitamin C, reduced plasma corticosterone and increased the number of egg-laying, dust bathing and preening birds during the cold and hot periods. The aggressive behaviour was reduced (P < 0.01) indicating a higher welfare level. The group supplemented with zinc + vitamin C showed more intensive preening and resting, as well as less aggression and movement than the zinc-supplemented group (P < 0.05), suggesting a synergistic action of both supplements towards alleviating stress and therefore, a possibility for improving hen welfare.
Efficacy of Mindfulness Based Stress Reduction (MBSR): A Brief Overview

Mindfulness has surged popularity over decades and its applicability has been seen across a wide range of physical illness as well as psychiatric disorders specially anxiety and depression. The basic principle behind mindfulness practice is that it helps the individual alter their relationship with traumatic or painful thoughts and emotions. Mindfulness-Based Stress Reduction (MBSR) is a form of practice and training for individuals with psychological and emotional due to life events, physical conditions, physical pain and reduce stress and anxiety symptoms, negative feelings improve general mental health and functioning. It has been seen to be beneficial in promoting recovery beyond the acute treatment of a disorder. It can be used to promote wellbeing amongst participants.This review aims to define meditation and mindfulness and provide an overview of development of MBSRacross psychiatric disorders and integrates researches across them and also to elucidate specific ways MBSR may be helpful and avenues for future research. Keywords: Meditation, Mindfulness, Stress Reduction, Efficacy, Mental Health
Democracy, Islam and Party System in Indonesia: towards a consensus-oriented model?

This paper argues that the impact of “Islam” on the Indonesian political system is worth studying on three different levels: 1. society’s political divisions; 2. the party system 3. parliamentary politics. I contend that there is a specifically Indonesian “consensus-oriented” democracy model involved in the process—which is not, however, without Western predecessors—wherein political Islam and Islamist parties act not as destabilising factors but rather as “Muslim democratic” forces that strengthen democratic consensus in a manner similar to some “Western” Christian democratic parties. This research is based partly on a historical and, implicitly, comparative approach. It builds strongly on the theoretical framework and methodology of Sartori’s classic party system typology, Lijphardt’s “majoritarian” and “consensus-based” democracy model, and the so-called neo-institutionalist debate on the possible advantages and disadvantages of parliamentary and presidential governments.
Traction of Students' Curriculum Information Based on Association Rule Optimization

In colleges and universities, the data on student’s performance are numerous. However, these data are often not well utilized and only served as a query. In order to make better use of these data, this paper will improve the traditional association rules and dig into the course performance information. Through the analysis of the association rules of students' different grades, the correlation between the courses and their traction are sought. The test results show that the optimized data mining algorithm has a good mining effect on the data, which can highlight the importance of different courses and make the data better reflect the links between curriculum and other courses. In this way, it is convenient for the teaching management department to better arrange the order of courses for students, so as to provide support and help for the teaching activities of students and teachers.
The heating performance of air-source-heat-pumps in the retrofit of domestic buildings

The adoption of Air-to-Water Heat Pumps (AWHPs) is a promising retrofit strategy for reducing heating energy consumption and decarbonizing domestic heating in temperate climates. In this paper, an AWHP with supplementary electric heating has been employed as a retrofit heating strategy for 756 house archetypes, which have been selected to represent the housing stock of the North-East region of England. The objective of this study is to investigate the effectiveness of the AWHP system in terms of both the system’s energy use and the extent to which the system has sufficient capacity to meet the space heating demand of the buildings. As a result of the study, the paper reveals that only 482 house archetypes (with their current level of thermal insulation) are eligible for the AWHP retrofit.
Recent decadal drought reverts warming‐triggered growth enhancement in contrasting climates in the southern Andes tree line

Rising temperature and declining summer precipitation due to the 1970s‐climate shift in southern South America have reduced forest productivity at dry sites. Here, we worked with the most widespread Southern Hemisphere tree line species, Nothofagus pumilio, across contrasting climatic conditions and determined whether rising atmospheric CO2 concentrations as well as warmer and drier climatic conditions provoked by the 70s‐climatic shift have been causing systematic changes in tree line growth rates and intrinsic water‐use efficiency (iWUE).
Liquid-liquid equilibria in aqueous two-phase ethanol/salt systems at different temperatures and their application to anthocyanins extraction

ATPS formation was first observed by Beijerinck in 1896, when he mixed aqueous solutions of polymers (starch and gelatin, agar-agar and gelatin) (Oqbal et al., 2016). Studies have then been carried out using different types of polymers, which combined at certain concentrations leading to phase separation (Dliveira et al., 2018). However, only in the 1960s it was reported the potential application of ATPS to recover biomolecules (Albertsson, 1958). Since then, ATPS have been used in different studies on microorganisms (Ascon-Cabrera & Lebeault, 1993), cancer cells (Atefi et al., 2015), enzymes (Tonova & Bogdanov, 2017) and natural dyes such as, for example, anthocyanins (Qin et al., 2017) and carotenoids (Freire et al., 2011), among others.
Creación de una herramienta de software para predecir la interacción, actividad y función de fármacos

in English, 250 words or less): The drug discovery process for the treatment of diseases is wide and complex area in constant evolution. Today is known that multiple factors are responsible for triggering pathogenesis (environment, physiology, genetics.). This greatly influence the development of pharmacological treatments and hence, as of late, there have been a trend on personalized treatments by means of several disciplines like polypharmacology, pharmacogenomics, etc. This customized treatments yields a large amount of data which cannot be processed in a conventional way. Therefore, it is necessary to use Big Data mining and Machine Learning techniques. The present work aims to develop a tool that does a similarity search (virtual screening) of a given molecule against an specially curated database built from other compounds databases and, in a second stage, try to predict by means of Machine Learning algorithms active compounds for a given target.
Drug Metabolism & Pharmacokinetics in Drug Discovery : A Primer for Bioanalytical Chemists , Part I

pressures of competition have caused enormous changes in the drug discovery process. Progress in molecular biology and the Human Genome Project has contributed to the remarkable advances made in identification of new therapeutic targets. The drug discovery process is rapidly evolving due to the technological developments in target identification along with automation of combinatorial synthesis and high throughput screening (HTS). In light of these advances, improving efficiency in the optimization of desired pharmacological activity in humans while decreasing the reliance on animal studies has become a challenge. New chemical entities (NCEs) enter the drug discovery pipeline through combinatorial synthesis and rational drug design where information about the target of action is used to design the lead compound. HTS helps the identification of the leads that provide the required effect at high concentrations. In the secondary screening stage physicochemical properties such as solubility, liphophilicity and stability are determined by measuring the octanolwater partition coefficient and pKa. These measurements are useful in predicting the protein binding, tissue distribution and absorption in the gastrointestinal tract (1). The selected leads are further screened using in vitro tests during lead optimization. The goal of lead optimization is to select compounds with required biological activity in humans. Relevant pharmacokinetic parameters such as tissue penetration, stability, intestinal absorption, metabolism, and elimination are obtained using in vitro systems. These in vitro systems include microsomes, hepatocytes or tissue slices for metabolite identification and evaluation of metabolic pathways and rates, and caco-2 cell lines for evaluating transcellular absorption. Cytotoxicity data can be obtained by using organ-specific cell lines. Knowledge of the toxic potential of these early leads and their possible metabolites is essential for successful drug discovery. Most drug candidates fail at this stage and only a few will be judged sufficiently safe and efficacious to proceed further into development. Both in vitro Drug Metabolism & Pharmacokinetics in Drug Discovery: A Primer for Bioanalytical Chemists, Part I
A Hybrid based Distributed Slot Scheduling Approach for WSN MAC

In Wireless Sensor Networks(WSNs), collision handling during transmission of data is an important challenge. MAC protocol plays a vital role in handling those collisions. Among different types of MAC protocols, schedule based MAC protocol is one where a valid schedule is prepared to handle the collision. The existing schedule based MAC protocols focus on preparing either a feasible schedule or an optimal schedule. In order to satisfy both feasibility as well as optimality feature, in this paper, we proposed a hybrid approach for slot scheduling that prepares a feasible schedule in a distributed manner and at the same time reduces the number of feasible schedule to achieve optimality. In this paper, we named this algorithm as Distributed hybrid Slot Scheduling(DHSS) algorithm. The proposed DHSS algorithm initially prepares a feasible schedule which is furthertuned in quick time to prepare a valid schedule with a reducednumber of slots. The reduction of the number of slots in theschedule improves the efficiency of data transmission in termsof latency. The simulation results show that the DHSS algorithmoutperforms RD-TDMA with respect to both the number of slotsallotted for a feasible schedule as well as the data transmissionlatency.
Modelling bipartite cooperation in ecological and organisational networks

Introduction In theoretical ecology, stochastic models incorporating simple interaction rules have recently proved remarkably successful at reproducing some of the most important structural properties of real food webs (Williams and Martinez, 2000; Cattin et al, 2004). It has been shown that such models only need to satisfy two basic conditions about the distribution of niche values and feeding ranges to reproduce many aspects of the complex network of predator-prey interactions, using species richness and connectance as the only input parameters (Stouffer et al, 2005). The notable success in modelling the complex set of consumer-resource interactions between species suggests that simple models may equally well account for the structure of bipartite networks generated by cooperative partner-partner interactions between two distinct classes of species, as in the case of plant-animal pollination networks (Bascompte and Jordano, 2007; Guimarães et al, 2007).
Modelling of a cantilevered energy harvester with partial piezoelectric coverage and shunted to practical interface circuits

This article presents a modelling methodology for a cantilevered energy harvester with partial piezoelectric coverage and shunted to practical power conditioning interface circuits. First, the distributed parameter model of the partially covered piezoelectric energy harvester is developed and the associated analytical solution is derived. Subsequently, the single-degree-of-freedom representation model is developed and the explicit expressions of equivalent lumped parameters are derived by taking the static deflection as the approximated fundamental vibration mode. Based on the comparison with the single-mode expression of the distributed parameter model, a correction factor is proposed to improve the accuracy of the single-degree-of-freedom model. The results of both the distributed parameter and the corrected single-degree-of-freedom models are compared. The accuracy of the corrected single-degree-of-freedom representation model is verified against the analytical and the finite element models. Finally, practical interface circuits including the standard energy harvesting circuit and the parallel synchronized switch harvesting on inductor circuit are considered. A modified equivalent impedance modelling method is proposed for the analysis of the standard energy harvesting and parallel synchronized switch harvesting on inductor circuits. The results of the modified equivalent impedance modelling method are verified against the existing method in the literature.
China’s regional rebound effect based on modelling multi-regional CGE

ABSTRACT Improving energy efficiency has been regarded as an important measure to reduce energy consumption, yet the rebound effect has greatly shrunken the energy saving consequences of this measure. To investigate regional rebound effect in China, a multi-region computed general equilibrium (CGE) model is established in this paper. The results show that there are obvious regional differences in the rebound effect in China. The primary energy rebound effects are positive, whereas the production-side power rebounds are below zero in most regions. We also simulated the energy subsidy reform scenarios, which indicates that reducing or even eliminating coal and oil subsidies will increase the production-side rebounds. Finally, feasible policy recommendations are put forward based on the results.
Privacy-Preserving Estimation of $k$ -Persistent Traffic in Vehicular Cyber-Physical Systems

Traffic volume estimation is critical to the intelligent transportation engineering. Previous state-of-the-art studies mainly focus on measuring two types of traffic volume: “point” traffic (i.e., the number of vehicles passing a given location) and “point-to-point” traffic (i.e., the number of vehicles traversing between two given locations) during each measurement period. In this paper, we extend this line of research from single-period to multiple periods and study new problems of estimating the number of <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-persistent vehicles that pass a location or two different locations in at least <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-out-of-<inline-formula> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula> predefined measurement periods. We propose two novel <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-persistent traffic estimators with privacy-preserving for the point and point-to-point traffic models, respectively. Through theoretical analysis, we prove that our solution can solve more general traffic measurement problems and employ stronger privacy preserving, i.e., <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-differential privacy, than the existing studies. We also demonstrate the effectiveness and the accuracy of the proposed estimators through extensive experiments based on real transportation traffic flows in Shenzhen, China for five consecutive working days. The numerical results show that the estimators can achieve a tradeoff between the estimation accuracy and privacy preservation through proper parameter setting.
Impact of dark septate endophytes on tomato growth and nutrient uptake

ABSTRACT Background Dark septate endophytes (DSEs) represent a form-group of ascomycetous fungi that inhabit the roots of a wide range of plant species, but our knowledge on their interaction with the host plants is still limited. Aims This study was conducted to examine the effect of DSEs on the nutrition and growth of tomato (Solanum lycopersicum) in order to assess their potential application in horticultural plant production. Methods The capacity of two model DSE species, Periconia macrospinosa and Cadophora sp. to mobilise different forms of N and P (organic and inorganic) was analysed, and an in vitro bio assay with tomato plantlets was applied to screen the compatibility of these fungi with the plant. Pot-culture experiments with and without compartments were conducted to study the effects of these DSEs on the growth and nutrient uptake of tomato plants grown with organic and inorganic N and P sources. Results Periconia macrospinosa, but not Cadophora sp. , increased the root and shoot biomass of tomato plants when organic nutrient resources were present, and both DSEs promoted shoot growth when cultivated with inorganic fertilisers. Analysis of N and P concentrations indicated that the growth response of tomato with inorganic fertilisation was not based on DSE-improved plant nutrition. However, P. macrospinosa improved N uptake from organic sources. Conclusion The positive effects of DSEs seem to be due to nutrient mobilisation rather than to hyphal transport to the plant.
PRODUCTION OF ICE IN TROPOSPHERIC CLOUDS A Review

The majority of the ~10 hydrometeors in Earth s atmosphere at any moment are liquid water, while the rest are ice. Though only a small percentage of the total condensed water in the troposphere, ice exerts an enormous influence on processes ranging from precipitation and cloud electrification to radiative transfer. To understand and ultimately predict these processes, we must understand the ways in which ice forms in the atmosphere. To best appreciate our limited understanding of ice, compare it with the liquid phase. We can accurately calculate the initial number of cloud droplets if the number and chemical composition of the preexisting aerosol particles are known as a function of size. In contrast, the physical and chemical principles underlying ice nucleation are poorly understood. Until about 10 yr ago, freezing rates of the
A rapid protocol for generating arthropod DNA barcodes suitable for use with undergraduate students

ABSTRACT We provide a protocol for rapid DNA extraction from spiders suitable for undergraduate practical sessions. Students who were previously naïve to the theory and laboratory technique of DNA barcoding were successfully able to extract and recover 29 DNA sequences from 16 species of small spiders in the family Linyphiidae. We anticipate that with careful selection of specimens, undergraduate students could participate in sessions which both benefit their professional development and further taxonomic understanding across a variety of organisms.
A Suggestive Implementation on Study of an IoT-based Dock-less Bicycle Sharing Venture

Over the last three years, the dock less bike sharing scheme has become prevalent in the context of the boom in the sharing economy, the wide use of mobile online payment, the increasing environmental awareness and the inherent market demand. This new kind of dock less shared bikes, with great advantages of accessibility, flexibility, efficiency and affordability, helps to solve the ‘last mile’ problem, reduce the travel time, and seems to be very environmentally-friendly and sustainable. It is important to emphasize that governments, enterprises, and the public participate in multi-party cooperation and build synergic governance networks to carry forward the advantages and avoid the negative effects of the new bike sharing system.