Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Temperature and Duration of Maceration on Colour and Sensory Properties of Red Wine-A Review

The maceration process plays an important role in the composition of the colour and sensory properties of red wine by facilitating the extraction of phenolic and aromatic compounds found in grapes. This review summarises the key findings from a study of the literature associated with research on the effects of the temperature and duration of maceration on the phenolic content, colour and sensory properties of red wine. In the past, many researchers have reported that higher maceration temperatures increase the extraction of phenolic compounds and enhance red wine colour, but low-temperature pre-fermentative techniques have become more popular in recent years due to their positive effects on wine composition, including lower oxidation of anthocyanin pigments and aroma compounds, inhibition of undesirable enzymatic activities, and an environment that is less conductive to microbial growth. Macerations carried out at low temperature ranges (10°C to 15°C) result in red wines with the highest levels of total phenolic content, anthocyanin and colour intensity, and richer fruity, flowery and spicy aroma. The duration of maceration has also been shown to have significant effects on red wine phenolic compounds, colour properties and the relevant sensory attributes. Studies show that prolonged maceration leads to a stable red colour, as well as richer tannin content, polymeric pigments and astringency. Red wines with appropriate colour and sensory characteristics can be produced by adapting both maceration temperature and duration to the desired style.
Title Combined prokaryotic-eukaryotic delivery and expression of therapeutic factors through a primed autocatalytic positive-feedback loop Author affiliation

a School of Biomedical Sciences and Shenzhen Institute of Research and Innovation, the University of Hong Kong, Pokfulam 999077, Hong Kong b The Institute of Optoelectronics, Shenzhen University, Shenzhen 518060, PR China. c Department of Obstetrics and Gynaecology, the University of Hong Kong, Pokfulam 999077, Hong Kong d Advanced Institute of Translational Medicine, Tongji University School of Medicine, Shanghai 200092, PR China e Faculty of Biology, South University of Science and Technology of China, Shenzhen 518055, PR China f Department of Microbiology, the University of Hong Kong, Pokfulam 999077, Hong Kong. g School of Public Health, the University of Hong Kong, Pokfulam 999077, Hong Kong h The Centre for Synthetic Biology Engineering Research, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, PR China.
by the machine: The effect of virtual nonverbal cues and individual differences on compliance in economic bargaining

Receiving a touch or smile increases compliance in natural face-to-face settings. It has been unclear, however, whether a virtual agent's touch and smile also promote compliance or whether there are individual di ﬀ erences in proneness to nonverbal persuasion. Utilizing a multimodal virtual reality, we investigated whether touch and smile promoted compliance to a virtual agent's requests and whether receiver's personality modulated the ef-fects. Compliance was measured using the ultimatum game, in which participants were asked to either reject or accept an agent's monetary o ﬀ ers. Decision-making data were accompanied by o ﬀ er-related cardiac responses, both of which were analyzed as a function of expression (anger, neutral, and happiness), touch (visuo-tactile, visual, no touch), and three personality traits: behavioral inhibition/activation system sensitivity (BIS/BAS) and justice sensitivity. People accepted unfair o ﬀ ers more often if the agents smiled or touched them. The e ﬀ ect of touch was more enhanced in those with low justice sensitivity and BAS, whereas facial expressions a ﬀ ected those with high BIS the most. Unfair o ﬀ ers ampli ﬁ ed the cardiac response, but this e ﬀ ect was not dependent on nonverbal cues. Together, the results suggest that virtual nonverbal behaviors of virtual agents increase compliance and that there is substantial interindividual variation in proneness to persuasion.
Dynamic Vibration Absorbers for Rolling Structures

Dynamic absorbers for wind induced vibration of ropeway carriers such as a gondola lifts was investigated theoretically by Matsuhisa and the theory of location that the absorber must be located at a high position was founded in 1993. This theory of location can be applied to many other structures which have motion of rotation such as a boat. Since the first installation of the dynamic absorber to ropeway chair lifts in 1995 in Japan, the dynamic absorbers have been installed to many ropeways carriers in Japan. This absorber was also installed on a boat. In order to solve the basic defect of this absorber that it must be located at a high position a new absorber using Coriolis force was invented. This Coriolis absorber works well when it is located at a low position. Experiment with a real gondora was carried out and it showed a good results. Keywords— Vibration, Dynamic absorber, Coriolis force, Gondola, Ship,
Evaluation of different levels of Sucrose , BAP and Photoperiod regimes for In-vitro Microtuber Production of Potato ( Solanum tuberosum LJ

Single-node stem cuttings of potato cv. "Desiree" were cultured on a multiplication medium containing MS basal elements supplimented with 0.5 mg t' BAP, 0.01 mg t' NAA and 0.4 mg t' GAdor maintaining stock plantlets. The cultures were exposed to 25 ::I: 2°C temperature and 16/8 hrs photoperiod with 75% relative humidity in a growth chamber. Six week-old plantlets from mother stock were treated with 10 ml MS liquid medium supplemented with four different levels of sucrose (100, 120, 140, 160 g t') and four different levels of BAP (0, 2, 4, 6 mg r') in all possible combinations to promote microtuberization (Experiment 1). The cultures were maintained at 15::t2oC temperature and 0/24 hrs photoperiod (total darkness). The treatment combination of 140 g t' sucrose and 6 mg rl BAP gave the highest microtuber fresh weight (277.8 ::t 179.4 mg), highest microtuber dry weight (58.4 ::I: 33. 4 mg), highest starch assimilation capacity of explant (605.8 ::I: 353.3 mg), highest cross sectional tuber area (66.7 ::I: 29.1 mm'), maximum number of micro tubers per plantlet (3.32 ::I: 0.12) and the highest number of eyes per microtuber (4.79 ± 0.06). The second experiment was designed to evaluate the effect of two different sucrose levels (120, 140 g rl) and three photoperiod regimes (0/24, 8/16, 16/8 hrs light/dark) on microtuberization of potato. As in experiment 1stock plantlets were maintained at same culture conditions and 10 ml of prepared two sucrose solutions were poured into sixweeksold plantlets in all possible combinations to promote microtuberization. Growth regulators were not used in this MS liquid medium. The cultures were maintained at 15 ::I: 2 °c temperature. According to the results, most suitable treatment combination was 140 g t' sucrose and 8/ J6 hrs photoperiod, which produced microtubers with highest fresh weight (469.1 ::I: 443.3 mg), highest dry weight (114.7 ::I: 113.8 mg), highest starch assimilation capacity per microtuber (469.1 ::I: 443.3 mg), highest cross sectional tuber area (97.1 ::I: 63. 5 mm') and the highest number of eyes per microtuber (16.1 ::I: 0.3). In conclusion, these results could be employed to adopt most optimum sucrose, BAP levels and photoperiod regime for effective microtuber production of potato (cv. Desiree) based on the MS basal solution.
Chapter 9 Cellular Automata and Randomization : A Structural Overview

The chapter overviews the methods, algorithms, and architectures for random number generators based on cellular automata, as presented in the scientific literature. The variations in linear and two-dimensional cellular automata model and their features are discussed in relation to their applications as randomizers. Additional memory layers, functional nonuniformity in space or time, and global feedback are examples of such variations. Successful applications of cellular automata random number/signal generators (both software and hardware) reported in the scientific literature are also reviewed. The chapter includes an introductory presentation of the mathematical (ideal) model of cellular automata and its implementation as a computing model, emphasizing some important theoretical debates regarding the complexity and universality of cellular automata.
Islamic Banks and Financial Stability : An Empirical Analysis of the Gulf Countries

The recent financial crisis of 2007-2008 is a good experiment to test the difference between the Islamic and the conventional model in terms of stability and banking risk. Using Z-score as an indicator of banking stability, our regression analysis (covers a matched sample of 136 banks from the Gulf countries in which (50) banks are Islamic and (86) are conventional between 2003 and 2012. Up to now, we have obtained the following results: small Islamic banks tend to be financially more stable than small conventional ones, large conventional banks tend to be financially more stable than large Islamic banks, and small Islamic banks tend to be financially stronger than large Islamic banks. Empirical results also show that conventional banks were most affected by the financial crisis. Similarly, analyzing the impact of Islamic banks on financial stability by studying the effect of market share in terms of credit supply, the empirical results show that the increase in market share in terms of the offering of loans by Islamic banks negatively affects financial stability, and thus leads to the increase of market share in terms of credit supply for conventional banks improving financial stability.
Stock Market Trend Prediction Using Sentiment Analysis Senior Project

For decades people have tried to predict the stock markets. Some have used historical price trends to predict future changes, while others rely on their gut feeling to make predictions. The prices of stocks reflect the overall confidence the market has on the stocks. The level of this confidence, according to the behavioral economics, is a collective of society’s emotions towards a particular stock, which to some extent influences their decision-making. However, is there a way to know the collective mood of society towards a stock? Can this mood be extracted from newspaper articles and magazines? To address this question, I turn to the field of Natural Language Processing. With the help of various sentiment dictionaries, I ran various types of sentiment analysis over 1.7million newspaper articles published in The Guardian between 2000 and 2016. I then chart the changing sentiments over a time period against the various stock market indices to see whether or not news sentiment is predictive of economic indicators such as stock prices.
The diversity of epipelic diatoms as an indicator of shrimp pond environmental quality in Lampung Province , Indonesia

Supono, Hudaidah S. 2018. Short Communication: The diversity of epipelic diatoms as an indicator of shrimp pond environmental quality in Lampung Province, Indonesia. Biodiversitas 19: 1220-1226. Epipelic diatoms live by attaching to sediment. Their existence is strongly affected by water and sediment quality. The purpose of this research was to analyze the structure of epipelic diatom populations on the bottom of shrimp ponds and to determine the correlation between epipelic diatom diversity and the quality of water and of pond bottom sediment. This exploratory research was conducted on twelve shrimp ponds during the water preparation period (pre-stocking). Data were collected to analyze the correlation between water and sediment qualities. The results showed that Nitzschia and Pleurosigma were the dominant epipelic diatoms in the shrimp ponds. Epipelic diatom diversity in shrimp ponds was affected by water quality parameters (namely total alkalinity, organic matter and nitrate) as well as sediment quality parameters (namely cation exchange capacity, clay content and organic matter content).
Proxy-based Reconstructions of Northern Hemisphere Temperature over the Common Era : Emulation and Sensitivity Analysis

The climate of the Earth is not in a steady state. From ice ages to warm periods, there has been considerable variation in the Earth’s climate throughout its existence. In particular, understanding climate of the Common Era (past 2000 years) is important because it can help lead to a better estimate of the far distant past, as well as, shed light on future variability. Additionally, the climate change debate has brought attention to human impacts on recent climate and whether the current trends are outside the realm of natural variability. While this has created a sense of urgency within the field, the attempts to accurately depict the climate of the Common Era have proven difficult due to the sparse instrumental data available, which reaches no more than a couple centuries. With that, scientists must employ a variety of natural “proxy” data, such as ice cores, corals, and tree rings, to interpret the climate state further back in time. Paleoclimate reconstructions are created which use these proxies to try to determine past temperature variability. For this project, the first objective was to emulate a popular reconstruction of temperature of the Common Era published by Mann et al. (2008). This reconstruction was chosen because of its prominence within the climate change debate; for climate scientists, it has become clear evidence for global warming, but it has been scrutinized by skeptics. Reproducing this study is the starting point because it allowed us to follow the necessary steps that created a well-sought out reconstruction, as well as, give a reputable comparison for later. This emulation was done using the existing reconstruction methods of “composite-plus-scale” (CPS) and “Regularized Expectation-Maximum” (RegEM). As in their study, the “Truncated Total Least Squares” (TTLS) regularization scheme in RegEM is used. Second, we compared these results to those produced by using a new regularization scheme in RegEM, called iTTLS. This comparison will determine whether the data-adaptive property of iTTLS significantly changes the results of the Mann et al. (2008) study, and if so, how. Ultimately, we would like to find that the new scheme improves upon the existing reconstruction, thus, providing more statistically sound results that will help to settle the climate change debate. Lastly, using TTLS, we created individual reconstructions of the different classes of proxies from the Mann study, rather than having one large dataset. It is important to understand the influence of each proxy class on the emulation, so to gauge its effects, pinpoint any problems, and consider any improvements.
Recognition of Human Activity in Domestic Environments Using Convolution Neural Networks

With the advance of technology robots are becoming essential in humans daily lives. In order to make robots more autonomous lots of efforts are being made by researchers to create robust and efficient image processing algorithms capable of interacting with the real world. This thesis addresses a semi reallive situation by applying convolution neural networks. The case study concept is the classification of humans activities performed in a domestic scenario. The main goal is to determine if the human real-time continuous behavior is either normal or abnormal (potentially dangerous). The creation of such model would allow instant and continuously surveillance in every connected camera. In this thesis an extensive dataset was created and applied to different net architectures to determine which obtain better results. The final results are very positive showing that convolution neural networks can successfully be applied to image processing situations obtaining results that easily equalise or even overcome classic methods from computer vision. Keywords—convolution-neural-networks, image-processing, machine-learning
Enhancing Bodily Expression and Communication Capacity of Telexistence Robot with Augmented Reality

This paper focuses on realization of embodied remote communication via telexistence robot with augmented reality (AR). Though a robot equipped with communication functions can realize natural conversation remotely, the robot has to reproduce bodily expressions of the robot user for achieving embodied communication. A humanoid is optimal shape for the purpose, but this kind of robot is currently expensive and difficult to popularize. By contrast, a 3DOF head-moving robot is easier to develop, but the bodily expression capacity is limited. To solve the trade-off problem, we propose an AR-based presentation system visualizing additional body-parts of head-moving robot. The developed system consists of a head-mounted display (HMD) worn by an operator, a 3DOF robot controlled by the operator’s head movement, and see-through AR glasses worn by an interlocutor who faces the robot. For visualizing bodily expression, the system generates 3D-CG image of virtual avatar which copies operator’s body movements, and projects the image onto both operator’s HMD and interlocutor’s glasses simultaneously. Consequently, proposed system provides body gesture functions to 3DOF robot, and achieves embodied remote communication.
EFFECT OF MINIMUM QUANTITY LUBRICATION ( MQL ) ON CUTTING PERFORMANCE IN TURNING MEDIUM CARBON STEEL

Minimum quantity lubrication (MQL) refers to the use of cutting fluids of only a minute amount typically of a flow rate of 50 to 500 ml/hour which is about three to four orders of magnitude lower than the amount commonly used in flood cooling condition. The concept of minimum quantity lubrication (MQL) has been suggested since a decade ago as a means of addressing the issues of environmental intrusiveness and occupational hazards associated with the airborne cutting fluid particles on factory shop floors. This paper deals with experimental investigation on the role of MQL by cutting oil on chip thickness ratio, cutting temperature, cutting forces, tool wear and surface roughness in turning medium carbon steel at industrial speed-feed combinations by uncoated carbide insert. The encouraging results include significant reduction in tool wear rate, dimensional inaccuracy and surface roughness by MQL over dry machining mainly through reduction in the cutting zone temperature and favourable change in the chip-tool and work-tool interaction. The results reveals that the MQL system can enable significant improvement in productivity, product quality and overall machining economy even after covering the additional cost of designing and implementing MQL system.
NITRIC OXIDE IN THE PATHOGENESIS OF ULCERATIVE COLITIS AND THE POSSIBLE ROLE OF GUT BACTERIA IN ITS SYNTHESIS

Nitric oxide is an important biological mediator of muscle relaxation in the cardiovascular system. Following our discovery that nitric oxide was also responsible for tonic relaxation of colonic muscle by the enteric nervous system, we investigated the possibility that its synthesis was increased in ulcerative colitis, which may explain the impaired contractility of colonic muscle associated with this condition. The effects of human leukocytes on precontracted colonic circular muscle from male Wistar rats was investigated. Muscle strips were mounted in organ baths and mechanical activity measured with isometric force transducers. Amino acids were measured by high performance liquid chromatography and an amino acid analyser in rectal biopsies from patients with active ulcerative colitis (AUC) and compared with quiescent (QUC) and healthy controls (HC). Citrulline concentration was taken as an indirect measure of nitric oxide synthesis. Nitric oxide synthase (NOS) activity was measured in rectal biopsies from patients with AUC and HCs. The production of C-citrulline from C-arginine was taken as an index of nitric oxide synthase activity. Human polymorphonuclear leukocytes and mononuclear cells relaxed precontracted colonic circular muscle strips and this was reduced in the presence of NO antagonists. Citrulline concentrations were significantly greater in rectal biopsies from patients with AUC than QUC or HCs. Incubation of biopsies from AUC with L-NMMA reduced citrulline levels. Constitutive NOS and inducible NOS activities were increased in AUC but were undetectable in HCs. Faeces from AUC but not HCs had constitutive NOS activity. We conclude that nitric oxide synthesis is increased in ulcerative colitis. Mucosal inducible NOS activity is increased in AUC and probably originates in leukocytes which produce sufficient nitric oxide to relax colonic muscle in vitro and may contribute to the motility disturbance in AUC. Faecal constitutive NOS activity is increased in AUC and may arise from an abnormal colonic microflora present as a pathogenic factor in this condition.
Quantum state transfer via acoustic edge states in a 2 D optomechanical array

Marc-Antoine Lemonde, Vittorio Peano, Peter Rabl, Dimitris G. Angelakis 1 Centre for Quantum Technologies, National University of Singapore, 3 Science Drive 2, Singapore 117543, Singapore 2 Max Planck Institute for the Science of Light, Staudtstrasse 2, 91058 Erlangen, Germany 3 Vienna Center for Quantum Science and Technology, Atominstitut, TU Wien, 1040 Vienna, Austria and 4 School of Electrical and Computer Engineering, Technical University of Crete, Chania, Crete, 73100, Greece (Dated: July 10, 2019)
Examining the Linkages between Street Crime and Selected State Economic Variables in Malaysia: A Panel Data Analysis

In this paper, the authors use dynamic panel data in order to assess the linkages between the cost of living, income inequality, gross domestic product (GDP) per capita, population and unemployment rate with respect to the street crime rate in Malaysia. More specifically, the investigation considers whether the following could be capable of generating any difference in the crime rate observed across many types of street crime. The F-test, Breusch-Pagan Lagrange Multiplier test and Hausman tests affirm the most preferred model to explain criminal behaviour is by using Fixed Effects Model almost for all types of street crime. The findings of the estimated coefficients reveal that the cost of living is negatively related to all street crime types and not significant as well as unemployment rate. There is a motivation towards street crime not to earn a living or jobless, but other motivating push factors that relate to the personalities of the offenders such as drug addiction. Moreover, income inequality is only significant in terms of total street crime and unarmed robbery gang estimation models as well as GDP per capita and population in snatch and theft estimation models. Interestingly, we extend the by changing the definition of crime into percentage and the results show that the cost of living is significant with the correct sign and has a positive relationship with all types of street crime rates except for snatch and theft estimation models. The GDP per capita is also a main influencer on all types of street crime rates and has a negative relationship. Finally, the unemployment rate is only significant in the unarmed robbery estimation models and has a positive relationships as well as income inequality variable in total street crime and unarmed robbery gang estimation models. This street crime has been shown to be sensitive to the change in unemployment rate and income inequality and also have positive linkages.