Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra-Low-Voltage and High-Speed 1-Bit Full Adder Cell Using FinFET Transistors for Mobile Applications

Full Adder is the building block of computing circuits. Designing a Full Adder with the smaller area, low power consumption, and high-speed have always been demanded. Since the channel length tends to the nano-scale, the use of MOSFET as a basic device in Full Adder cell design reaches its functional limitations such as power dissipation and average speed. In this paper, a 1-bit Full Adder cell is proposed based on PTM 32 nm FinFET process model with 0.5V supply voltage for mobile applications. The Full Adder performance has been evaluated with the obtained results from HSPICE. The main parameters of Full Adder such as average power consumption, leakage power, delay and power-delay product (PDP) were measured. Also, the performance of the proposed design with comprehensive experiments using different supply voltages, load capacitors, frequencies, and temperatures are evaluated and compared to the other classical and state-of-the-art CMOS and CNTFET-based Full Adder cells using 32 nm CMOS and 32 nm CNTFET technologies. Based on simulation results, the superiority of proposed design in terms of delay and PDP were obvious.
Discontinuities in fundamental frequency : When do they really matter in synthetic speech ?

Attempts at improving the naturalness of synthetic speech have typically led to penalizing unsuitable candidates or large differences in acoustic parameters around the concatenation point. This paper reports a perceptual experiment which aimed at the opposite: relaxing the criteria for concatenation cost in the domain of fundamental frequency (f0), specifically when concatenating diphones pertaining to voiced consonants. A listening test which involved several types of artificial f0 discontinuities was administered to 21 respondents. The results suggest that f0 discontinuities only matter in sonorant consonants (nasals and approximants) and only when they exceed 1 semitone. Most importantly, the direction of f0 change should be taken into account, and not only the values around the concatenation point.
A COMPARATIVE ANALYSISOF THE RESULTS FROM SPECIFIC MOTOR TESTS IN 14 , 15 AND 16 YEARS OLD BASKETBALL PLAYERS

The survey was conducted on a sample of 54 young basketball players, 18 of which were 14 years of age, 18 were 15 years of age, and another 18 were 16 years of age, in order to determine the differences in the results in the tests for assessing the structural basketball element handling the ball. The results of the one-factor multivariate variance analysis (MANOVA) showed that the three groups of examinees statistically differed significantly in the whole system of variables. After the one-factor variance analysis (ANOVA) it was determined that the groups differ statistically significantly in all variables: handling the ball with a dominant hand at 20 meters running (V20MDR), handling the ball with a non-dominant hand at 20 meters running (V20MDR ) and handling the ball while running between sticks (VODMS). In the three groups of participants, a weaker score was scored in a 20-meter (20-meter) ball with the dominant hand (V20MDR) in terms of a 20m ball handling with the non-dominant hand, which probably suggests that the respondents can't equally successfully lead the ball in maximum running with the dominant and non-dominant hand. The results can be used to compare with other basketball players in the future, but also serve as information in selecting basketball players, planning, programming, and realizing the training with these adult categories.
A nanoliposome-based drug delivery system for cancer

The current project shows that the sulfatide-containing nanoliposome (SCL) drug delivery system could be an effective and safe nanocarrier for the anticancer agent doxorubicin to target tumours with high expression of tenascin-C. Moreover, SCL encapsulation could be a new strategy for the treatment of diseases in the central nervous system.
Increasing Petascale Resource Utilization Through Bimodal Scheduling Policies

In late 2009, the National Institute for Computational Sciences placed in production the world‘s fastest academic supercomputer (third overall, November 2009 Top500), a Cray XT5 named Kraken. Currently Kraken provides 1.17 Petaflops through 112,896 compute nodes accounting for over 60% of the total cycles available to the National Science Foundation users via the TeraGrid. Kraken has two missions that have proven difficult to simultaneously reconcile: providing the maximum number of total cycles to the community, while enabling full machine runs for “hero” users. Historically, this has been attempted by allowing schedulers to choose the time for the beginning of large jobs, with a concomitant reduction in utilization. This paper outlines a novel approach implemented at NICS, whereby the “draining” of the system is forced on a weekly basis, followed by consecutive full machine runs. As previous simulation results suggested, this led to utilization of over 90% (the equivalent of a 300+ Teraflop supercomputer, or several million dollars of compute time per year) with a 92% average over the
The Agronomic Potential of Gene Silencing Applications

Present-day efficient plant production strategies still require the usage of chemical pesticides. While modern pesticides are largely safe, there are still several issues that demand further optimization of their use including i. the emergence of compound resistance due to wrong handling of pesticide use, ii. soil/water pollutions (e.g. excessive use of copper in organic farming), and iii. largely inefficient pesticide activities against certain ear and root diseases. In consequence there is a need for novel crop protection compounds and strategies. More than half of the world’s harvested area is allotted to cereals such as rice, maize and wheat (ca. 2.3 billion tons in 2010; FAO 2013). Diseases of cereal crops such as Fusarium head blight (FHB) and Fusarium seedling blight (FSB), caused by necrotrophic fungi of the genus Fusarium, exert a particularly great economic and agronomic impact on global grain production and the grain industry (Bai et al. 2004; Broekaert et al. 2015). Food safety can be compromised by contamination of agricultural products with mycotoxins, which are produced by Fusarium fungi (Jansen et al. 2005; Merhej et al. 2011) and represent a serious threat to human and animal health. One of the predominant mycotoxins, the trichothecene Deoxynivalenol (DON) has a high acute toxicity (LD50 = 43 mg kg body weight, [mouse oral]) that is much higher than that of a modern fungicide such as strobilurins (LD50 = >5000 mg kg body weight) and azoles (LD50 = between 600 to >2000 mg kg body weight). Currently, the major strategies to control Fusarium diseases include resistance breeding, crop rotation, and plowing, along with the application of demethylation inhibitor (DMI) fungicides (Kazan et al. 2012). These chemicals are the most successful fungicides worldwide, with a market volume of $11,475 million in the year 2010. DMI fungicides, such as tebuconazole, fenbuconazole, and propiconazole inhibit ergosterol biosynthesis by binding to cytochrome P450 lanosterol C-14 α-demethylase (CYP51), thereby disrupting fungal membrane integrity (Krämer et al. 2012). However, heavy reliance on DMI fungicides since their discovery in the mid-1970s holds a risk of the emergence of DMI-tolerant strains of plant pathogens (Gsaller et al. 2016). Greater compound tolerance at least partly is because of fungal enhanced capability to detoxify the chemicals. Even worse, the quantitative nature of FHB and FSB resistance and the lack of true resistance (R) genes does not allow straightforward breeding programs (Jansen
Relationship between Elevated Liver enzymes and Metabolic syndrome among Egyptian adults

Background and study aim: Liver enzymes are important markers for hepatocyte damage. Metabolic syndrome (MS) is a combination of metabolic abnormalities including high blood glucose, obesity, hypertension and dyslipidemia. The incidence of MS is believed to be increasing in Egypt. The purpose of this study is to examine the relationship between elevated liver enzymes and MS among Egyptian adults. Patients and Methods: A total 138 apparently healthy subjects were randomly included (99 females and 39 males). Demographic, clinical (blood pressure, body mass index and waist circumference) and biochemical (measurements of alanine aminotransferase (ALT), aspartate amino-transferase (AST), alkaline phosphatase (ALP), lipid profile, blood glucose and viral markers) were collected from every subject. Metabolic syndrome was defined according to a well-known criteria and subjects in the final analysis were divided into group I; metabolic syndrome and group II; non-metabolic syndrome subjects. Results: In this study, 92 persons fulfilled three of the five criteria of metabolic syndrome (group I) with prevalence of 66.7% while group II (non-metabolic syndrome) represented 33.3%. Patients with MS were older and less physically active in comparison with group II. There were an association between elevations in liver enzymes (ALT, AST, ALP) and MS. ALT, AST and ALP were elevated in 42.4%, 17.2% and 20.7% of patients with MS respectively. ALT and AST showed positive correlation with elevated blood glucose and triglycerides levels while AST/ALT ratio showed negative correlation with diastolic blood pressure, triglycerides level and waist circumference. The more items of MS the patient have the higher the level of liver enzymes. Conclusion: Among Egyptian adults elevated levels of liver enzymes were associated with MS and a correlation was noticed with its components.
Evolutionary Representation Learning for Dynamic Graphs

Graph representation learning for static graphs is a well studied topic. Recently, a few studies have focused on learning temporal information in addition to the topology of a graph. Most of these studies have relied on learning to represent nodes and substructures in dynamic graphs. However, the representation learning problem for entire graphs in a dynamic context is yet to be addressed. In this paper, we propose an unsupervised representation learning architecture for dynamic graphs, designed to learn both the topological and temporal features of the graphs that evolve over time. The approach consists of a sequenceto-sequence encoder-decoder model embedded with gated graph neural networks (GGNNs). The GGNN is able to learn the topology of the graph at each time step, while LSTMs are leveraged to propagate the temporal information among the time steps. We demonstrate the efficacy of our approach by applying the obtained embeddings to dynamic graph classification using a real world dataset of animal behaviour.
ETHNOLINGUISTIC DIFFERENTIATION AND THE CANADIAN SHIFT

The acoustic qualities of the Canadian Shift vowels /æ, ɛ, ɪ/ were examined among two ethnically distinct populations in Winnipeg, Canada: speakers of Filipino ancestry, and non-Filipino “white” Canadians. Results indicate that ethnic Filipinos participate more strongly in the Canadian Shift, indicated by greater retraction and/or lowering of the relevant vowels, in contrast with white speakers who only just meet the criteria for Canadian Shift. Canadian-born L1 English-speaking children of Filipino immigrants exhibited the greatest degree of retraction and/or lowering, while English L2 Filipino immigrants were intermediary in this respect. These results support the hypothesis that a new ethnolect may be forming within Winnipeg’s large Filipino ethnic community. The divergence of Canadian Shift patterns between ethnic groups in Winnipeg may be viewed within an “Emergent linguistic marketplace” model [7], with implications for further research on Filipino communities in other Canadian locales, and for ethnolinguistic variation more broadly.
Vowel variation in a standard context across four major Australian cities

Analysis of regional variation in Australian English (AusE) is limited in scope mainly through lack of access to sufficiently diverse speech corpora. Perhaps this helps to explain the long-held belief that regional phonological variation in AusE is quite restricted. Here we present analyses of vowels in a standard phonetic context from word-list data collected for the large-scale AusTalk corpus. The aim is to establish the first published baseline investigation of regional variation for vowels across speakers from four major Australian cities. Twelve monophthongs and 6 diphthongs were examined from 109 male and female speakers under 35 years from Sydney, Melbourne, Adelaide and Perth. Using discrete cosine transform to capture time-varying formant detail, we found evidence for region-specific variation for a small set of vowels including GOAT, NEAR, GOOSE and THOUGHT. The results highlight the need for more detailed analysis of a wider range of phonetic, stylistic, social and regional contexts.
Antinociceptive Effects of Grape Seed Oil with Use of Formalin Test in Male Rats

The aim of this study is the evaluation of antinociceptive effects of grape seed oil in male rats. In this study, 72 adult male wistar rats, weighing 200-250g were used. All the animals were divided into 9 groups of eight and were evaluated by formalin test. Control group received 50μl formalin 2.5% and sham group received 2/5ml/kg morphine before formalin test. Experimental groups, once a day for 1 week sequentially received 1, 2, 4, 8, 16 ml/kg and underwent the test on the eighth day. At first, they received 2/5ml/kg morphine intraperitoneally and after 30 minute formalin test was performed. The sixth experimental group received 8ml/kg of grape seed oil and on the eighth day, at first received 2/5ml/kg morphine intraperitoneally and after 30 minute formalin test was performed. The seventh experimental group once a day for 1 week received grape seed oil and on the eighth day, at first received 10ml/kg Naloxane intraperitoneally and after one hour formalin test was performed on them. After recording the behavioral responses, the means of acute and chronic pain score were evaluated using ANOVA test between experimental groups and control . Means of acute and chronic pain score in all of the experimental groups except the first and seventh experimental groups in acute and chronic phase of formalin test, were significantly reduced from that in control and sham groups(p<0.05). Based on the results of the present study, grape seed oil in acute and chronic phase has an antinociceptive effects. This effect maybe due to essential fatty acids, procyanidins and flavonoid compound that have an antinociceptive effect. Also, grape seed oil strengthens the antinociceptive effect of morphine .
Improve target matching for FAST-SURF algorithm

In order to solve the problem that the visual positioning speed is not enough in the industrial production of object transfer sorting, this paper presents an improved FAST-SURF algorithm for fast matching of target objects. The feature points were detected by FAST algorithm. The SURF feature descriptors were reduced from 64-dimensional to 16-dimension to narrow the range of feature points. The FLANN algorithm was used to search the feature points to be matched and the RANSAC algorithm was used to eliminate the mismatched pairs. The experimental results show that compared with the traditional SURF algorithm, the binocular FAST-SURF algorithm can shorten the matching time by about 0.8s, which proves the effect of this method on the target matching.
Brief Overview of Deep Neural Networks

Deep neural networks have introduced novel and useful tools to the machine learning community, and other types of classifiers can make use of these tools to improve their performance and generality. This paper reviews the current state of the art for deep learning classifier technologies that are being used outside of deep neural networks. Many components of existing deep neural network architectures can be employed by non-network classifiers. In this paper, we review the feature learning, optimization, and regularization methods that form a core of deep network technologies. We then survey non-neural network learning algorithms that make innovative use of these methods to improve classification. We conclude by discussing directions that can be pursued to expand the area of deep learning for a variety of classification algorithms.
Rural Economies and ICT Policies for Rural Development Using the Sustainable Livelihoods Framework to Analyze ICT Applications for Promotion of Agricultural Livelihoods of Rural Community in China

This paper provided a contribution to theorizing ICT applications and rural development by applying a sustainable livelihoods approach. It is found to provide the basis not only for an information-centered understanding of ICT but also a means for broad analysis of rural development. The specific development issue analyzed is the role of ICT for farmers‘ livelihoods because it represents a viable route of increasing farmers‘ income and promoting the quality of farmers. This is reflected through increased and more diversified income streams for rural households. A case study of rural information project in Ningxia of China was presented to demonstrate what is the impact of ICT and how the ICT can impact on farmers‘ livelihoods. Under the analytical framework of sustainable livelihoods, the vulnerability of rural households of Ningxia, the changes of the capital assets including human, financial, physical, natural and social capital, the transformation process of social relations, institutions and organizations were analyzed. The functional role of ICT by using these assets within livelihood strategies and the livelihood outcomes were illustrated. The analysis of this paper was based on survey data from 628 households in nine counties of Ningxia. The results suggested that ICT may bring direct and indirect benefits for promotion of rural livelihoods.
From Chaos to Permanence Using Control Theory

Work by Cushing et al. and Kot et al. demonstrate that chaotic behavior does occur in biological systems. We show that chaotic behavior can also be used to ensure the survival of the species involved in a system. We adopt the concept of permanence as a measure of survival and take advantage of present chaotic behavior to push a non-permanent system into permanence through a control algorithm. We apply the algorithm to a Lotka-Volterra type two-prey, one-predator model and a food chain model and demonstrate its effectiveness in taking advantage of chaotic behavior to achieve a desirable state for all species involved. In particular, we show that harvesting of the predator is a practical and effective control for insuring the thriving of all species in the system.
Corporate Response and Responsibility in the case of consumer boycotts: an Analysis of Centrale Danone crisis in Morocco

Boycott is a mode of communication between the consumer and the company, it allows to re-identify the needs of the consumer reconsider the company’s strategies and repositioning. The present study sheds light on consumer boycott and its perception about the corporate response to the crisis. A sample of 162 participants took part in this exploratory study by filling in a questionnaire form to investigate the Moroccan consumer’s perceptions with regard to Centrale Danone’s response to the recent boycott event that the Moroccan society has witnessed. The results demonstrated that Moroccan consumer’s motivation behind the boycott was merely to limit the pricing oligopoly along with quality improvement of such primary food products. Also, the findings revealed that their attitudes were negative with respect to the way Centrale Danone handled the boycott situation as the vast majority claim that the company’s issued actions are depicted as irresponsible and not well thought out.
Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task

We investigated how a robot moving with different velocity profiles affects a person’s perception of it when working together on a task. The two profiles are the common linear profile and a profile based on the animation principles of slow in, slow out. The investigation was accomplished by running an experiment in a home context where people and the robot cooperated on a clean-up task. We used the Godspeed series of questionnaires to gather people’s perception of the robot. Average scores for each series appear not to be different enough to reject the null hypotheses, but looking at the component items provides paths to future areas of research. We also discuss the scenario for the experiment and how it may be used for future research into using animation techniques for moving robots and improving the legibility of a robot’s locomotion.
RISE DYNAMICS DETERMINES TUNE PERCEPTION IN FRENCH: THE CASE OF QUESTIONS AND CONTINUATIONS

The present study aims at uncovering the impact of dynamic details of intonational rises sharing the same tonal description but differing in the actual shape of the F0 contour. Two French rising final contours, both labelled as LH*H% in AM, are used to mark continuations or yes/no questions. The hypothesis tested here is that a perceptual difference between the two contours would stem from the particular dynamic characteristics of the rise, notably from the shape of the interpolation between the L and the H tonal targets, which has been noticed to be different between the two (convex vs. concave). We hence created resynthesized speech stimuli, in which tonal target alignment, scaling and segmental duration were rendered ambiguous, while rise shape was modified from concave to convex in two base stimuli. Results of a two-alternative forced choice test suggest that dynamic properties of the pitch rise can alone affect contour identification.
Teaching in pharmaceutical care : A systematic review

was not available; Abstract of congress.of congress. 28 studies excluded articles due to: Full text was not available (6) Article not was related to work of teaching or education (19) 183 studies excluded Exclusions were based on the title, the fact that not related work with the teaching Pharmaceutical care or Medication Therapy Management; pharmacists or pharmacy students did not participate in the study. Titles to be assessed
Lignification in Development

Developmental lignification is a process where lignin is deposited to the plant cell wall during the normal cell differentiation. Lignification of cell walls occurs where increased support or water impermeability is needed, such as in tracheary elements and in sclerenchymatic tissues of e.g. fibers and in the endocarp of some fruits. The chemical structure and amount of lignin varies between plant species, cell types, and cell wall layers and as response to environmental conditions. Lignification is apparently regulated by hormonal signaling (e.g. gibberellin) controlling the multiple enzymes via various transcription factors (e.g. MYB and LIM) involved in the monolignol biosynthesis pathway and probably by the level of reactive oxygen species in the apoplast. The most extensively studied area of developmental lignification is the lignification of xylem cells. In this review, two main areas of xylem research are covered: Lignin biosynthesis in xylem cells of trees, and the tracheary element differentiation in the Zinnia elegans cell culture. Knowledge on xylem lignification in trees has increased enormously during the recent years due to development e.g. in histological and in molecular biology methods, whereas the Z. elegans system presents a well characterized model for studying cellular events in xylem differentiation. In addition, studies on other cases of developmental lignin biosynthesis in particular in monocotyledonous species are included. _____________________________________________________________________________________________________________