Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal placement of electric, hybrid and plug-in hybrid electric vehicles (xEVs) in Indian power market

Rising atmospheric adulteration due to exponential growth in the number of on-road vehicles in India is raising an alarming situation for the urban communities. To mitigate this escalating issue, there is expanded accentuation on adoption alternative fuel based transportation system. This work deals with the optimal placement of electric and hybrid electric vehicle in Indian power market. In this work, an optimal framework based on switching mechanism from one trading place to another (i.e. power exchange based day ahead market, one to one bilateral power market and distribution company based power market) depending on the minimum purchasing (i.e. charging of xEVs) and maximum selling cost of energy (i.e. discharging of xEVs) was proposed. For the more realistic results four type of electric vehicle is considered and further, the uncertainty associated with the market price and load demand is also considered. To validate the proposed framework, a case study is executed. The result shows that under proposed methodology, the aggregator paid 4.22 % lesser cost of energy as compared to DA while 9.68% & 4.65% lesser as compared to bilateral and DISCOM based trading platform.
Neuronal Circuitry of the Local Edge Detector Retinal Ganglion Cell

Detection of visual borders is an essential function for transforming the visual scene into perceivable boundaries. Avian predators, for example, are able to recognize complex textured borders of conspicuous prey. It has been suggested that the process of border perception begins as early as in the retina through a class of ganglion cell, the local edge detector (LED), which responds selectively to luminance edges. But what neuronal circuitry is used to accomplish this, and can this circuitry also be used to detect complex textured borders? Here we use patch-clamp electrophysiology to show that selectivity to luminance edges in the LED is accomplished by surround-originated feedback inhibition that suppresses excitation via GABAa and GABAc receptors. Furthermore, we find that excitatory circuitry has several characteristics that facilitate independent responses of individual bipolar cells to features as small as one-eighth the size of the LED's receptive field. This enables the LED to respond to areas of texture even if they contain no net luminance change. We observed that feedback inhibition is similarly activated by small features, which in turn causes excitation not only to respond selectively to luminance edges, but also to boundaries of luminance-neutral texture in synthetic and natural scenes, as well as a noise-suppression function suggested by modeling. We also characterized direct feedforward inhibition to the LED, and found it to be cospatial with excitation, glycinergic, and sensitive to small features as well. These characteristics enable the suppression of spikes during rapid luminance shifts, encoding an edge in time . Our results suggest mechanisms by which three kinds of edges can be encoded by the retina and transmitted through a specialized channel to higher visual areas in the brain.
GASTRIC ACID ANTISECRETORY AND ACID NEUTRALIZATION EFFECT OF AQUEOUS TRIGONELLA FEONUM-GRACUM AND LINUM USSITATISSIMUM SEED EXTRACTS ON EXPERIMENTAL MODELS

Summary The majority of the Ethiopian population rely on traditional remedies such as barley and fenugreek infusion, and linseed mucilage to manage peptic ulcer. Previous studies showed that both Trigonella feonum-gracum and Linum ussitatissimum seeds have anti-ulcer effect. How anti-ulcer effect is mediated, however, has not well been established. The aim of this study is, therefore, to screen the aqueous extract of T. foenum-gracum and L. usitatissimum seeds for their anti-secretory and antacid action in an attempt to come up with the possible mechanisms. The present study revealed that T. foenum-gracum extract significantly reduced the basal total acid (P< 0.05) while L. usitatissimum extract slightly reduced it. Both aqueous extract of T. foenum-gracum and L. usitatissimum seeds neutralized the acid in vitro. L. usitatissimum extract was observed to have a higher acid neutralizing capacity than T. foenum-gracum extract. From this study it can be concluded that the aqueous extract of T. foenumgracum seeds may produce anti-ulcer effect through acid antisecretory and acid neutralizing action while that of L usitatissimum lonely through acid neutralizing action. To establish this, further investigation at molecular mechanism should be pursed.
The Effect of Individual's Flow and Stress on Subjective Well-being in Social Network Services

Submitted:January 20, 2016 1 st Revision:January 26, 2016 Accepted:January 29, 2016 * 이 논문은 2015년도 전남대학교 학술연구비 지원에 의하여 연구되었음. ** 전남대학교 경영학부 부교수, 교신저자 *** 주식회사 나래에스앤아이 대표 **** 전남대학교 전자상거래협동과정 박사과정 韓國IT서비스學會誌 第15卷 第1號 2016年 3月, pp.211-226 212 Joon Koh.Sung-Jun Lee.Liguo Lou
Diabetic lower extremity wounds: the rationale for growth factors‐based infiltration treatment

Repair machinery and local infection control failure contribute to wound chronicity and lower extremity amputation in diabetic patients. In these wounds, inflammation is a proximal condition which disrupts wound matrix turnover and the local redox balance. Contemporary therapeutic interventions are relatively broad including drugs, devices and surgical procedures. However, clinical efficacy remains modest and recurrences are frequent. Recombinant growth factors advent was followed by their premature and empiric introduction in the clinical practice. Its topical administration is still challenged by local kinetic and pharmacodynamic limitations related to the hostile microenvironment of chronic wounds. The rationale of infiltrating epidermal growth factor (EGF) down inside complex diabetic wounds as an alternative treatment modality is described here. The concept emerged from two experimental evidences: (a) locally infiltrated EGF prevented trophic ulcers and limb necrosis upon denervation, (b) acute, controlled experimental wounds' exudate exhibited proteolytic activity. Depositing EGF in deep cells' responsive strata allows for two main pharmacological actions indispensable for chronic wounds healing: cyto‐protection and proliferation of fibroblasts and endothelial cells, thus inducing progressive granulation. Ten years of clinical experience have validated laboratory and theoretical concepts, while most importantly have improved quality‐of‐life to thousands of diabetic patients.
Lysophosphatidic acid enhances neointimal hyperplasia following vascular injury through modulating proliferation, autophagy, inflammation and oxidative stress

Lysophosphatidic acid (LPA), which is one of the intermediate products of membrane phospholipid metabolism, is a bioactive phospholipid that possesses diverse activities. In the present study, the effects of LPA on neointimal formation following vascular injury were investigated. A carotid artery balloon injury model was employed in the present study, and following vascular injury, rats received an intraperitoneal injection of 1 mg/kg LPA. Subsequently, histopathological alterations were assessed by hematoxylin and eosin staining, the expression levels of proliferating cell nuclear antigen (PCNA) were detected by immunohistochemistry, apoptosis was assessed via a terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling assay, and the expression levels of apoptosis-associated and autophagy-associated proteins were detected by western blotting. In addition, inflammatory and oxidative stress-associated factors were assessed by reverse transcription-quantitative polymerase chain reaction or corresponding kits. The results of the present study demonstrated that LPA enhanced vascular injury-induced neointimal hyperplasia. LPA further elevated the expression levels of PCNA in the injured carotid artery tissues. LPA exhibited no effect on apoptosis in carotid artery tissues, whereas it modulated autophagy in the injured carotid artery tissues. Furthermore, LPA enhanced vascular injury-induced inflammation and oxidative stress. The present study demonstrated that LPA may enhance neointimal hyperplasia following vascular injury by modulating proliferation, autophagy, inflammation and oxidative stress, but not apoptosis. Furthermore LPA may contribute to the pathology of atherosclerosis and may be considered a promising therapeutic target for the treatment of atherosclerosis.
A Novel Renal Cell Carcinoma Susceptibility Gene Maps on Chromosome 10 in the Eker Rat

Hereditary renal cell carcinoma (RC) in the rat, originally reported by Eker in 1954, is an example of Mendelian dominant predisposition to a specific cancer in an experimental animal. We previously reported that this predisposing inherited gene is a tumor suppressor gene fitting Knudson's “two‐hit” model. This study was designed to map the RC susceptibility gene in the Eker rat using backcross animals. Our present data clearly show that the RC gene is genetically linked to the protamine‐1 gene (Lod score = 11.65) and the interleukin‐3 gene (Lod score=4.13), both of which are located on the proximal part of rat chromosome 10. Rat chromosome 10 is currently believed to have no syntenic relationship to human chromosome 3p, the presumed site of the putative tumor suppressor gene for human RC and the locus of von Hippel Lindau disease (affected patients develop multiple RCs). Thus, the Eker rat might have a mutation of a novel tumor suppressor gene related to renal carcinogenesis.
Sparse Alignment for Robust Tensor Learning

Multilinear/tensor extensions of manifold learning based algorithms have been widely used in computer vision and pattern recognition. This paper first provides a systematic analysis of the multilinear extensions for the most popular methods by using alignment techniques, thereby obtaining a general tensor alignment framework. From this framework, it is easy to show that the manifold learning based tensor learning methods are intrinsically different from the alignment techniques. Based on the alignment framework, a robust tensor learning method called sparse tensor alignment (STA) is then proposed for unsupervised tensor feature extraction. Different from the existing tensor learning methods, L1- and L2-norms are introduced to enhance the robustness in the alignment step of the STA. The advantage of the proposed technique is that the difficulty in selecting the size of the local neighborhood can be avoided in the manifold learning based tensor feature extraction algorithms. Although STA is an unsupervised learning method, the sparsity encodes the discriminative information in the alignment step and provides the robustness of STA. Extensive experiments on the well-known image databases as well as action and hand gesture databases by encoding object images as tensors demonstrate that the proposed STA algorithm gives the most competitive performance when compared with the tensor-based unsupervised learning methods.
The methodological dance: critical reflections on conducting a cross-cultural comparative research project on ‘Sport for Development and Peace’

Abstract Social scientific research requires engagement with individuals, groups and or organisations embedded within specific sectors and locations. The ‘Sport for a Better World? ’ project aimed to examine the Sport for Development and Peace (SDP) sector within multiple international locations through fieldwork conducted by a four-person research team. This paper discusses the methodological benefits and challenges of this methodological approach, with a particular focus on working with individuals and groups as gatekeepers, encultured informants, translators and volunteers. In turn, we describe and contextualise the levels of exchange expected by stakeholder partners as well as the implications of our identity as white, international researchers. Overall, we argue for the importance of understanding: the agency and needs of local actors amidst transnational networks; the extent to which history and politics inform everyday experiences and contemporary research encounters; and the likelihood that unequal power relations, particularly along lines of race, class and geography will affect data collection and interpretation. We also discuss various methodological strategies we negotiated in-the-field, and how these insights inform our understandings of the social, political and cultural environment in which SDP programmes operate in different locations.
Frequent Microsatellite Instabilities and Analyses of the Related Genes in Familial Gastric Cancers

Microsatellite instability or replication error seems to be related to defective DNA mismatch repair genes, such as hMSH2, hMLH1, hPMS1 and hPMS2, which have been identified as causative genes of hereditary nonpolyposis colorectal cancers (HNPCC). Recently, it was reported that mutations at the simple repeated sequences in the transforming growth factor‐β type II receptor (TGF‐β RII) gene occurred in replication error‐positive colorectal cancers. To determine genetic alterations in familial gastric cancers (FGC), we examined replication error using eight microsatellite DNA markers, and screened mutations in the hMSH2, hMLH1 and TGF‐β RII genes in six cases from four FGC kindreds. Moreover, hMTH1, a human homolog of the bacterial mutT gene, was also screened. Four of six (67%) cancers showed the replication error‐positive phenotype, indicating that microsatellite instability is highly associated with not only HNPCC, but also FGC. No germline mutation was found in the whole coding sequences of hMSH2 and hMTH1, or in the conservative regions of hMLH1 in any patient, while one cancer DNA showed a somatic mutation at codon 682 (threonine to alanine) in hMSH2. No alteration was found at the small repeated sequences in TGF‐β RII in FGC tumor DNA. These results indicate that the carcinogenetic process of FGC may be different from that of HNPCC.
VFAB: A Novel 2-Stage STTRAM Sensing Using Voltage Feedback and Boosting

Spin-torque-transfer RAM (STTRAM) is a promising technology for high density on-chip cache due to low standby power and high speed. However, the process variation of STTRAM poses serious challenge to sensing. We propose a non-destructive and low-power sensing scheme that exploits a voltage feedback and boosting technique to develop large sense margin. Monte Carlo simulation results in ST Microelectronics 65-nm technology show that the proposed sensing circuit achieves 807-mV worst case sense margin on average, read access pass yield of <inline-formula> <tex-math notation="LaTeX">$14.4\sigma $ </tex-math></inline-formula> in typical corner and <inline-formula> <tex-math notation="LaTeX">$4.7\times $ </tex-math></inline-formula> reduction in read power compared to conventional voltage sensing.
hysiology ight-harvesting complex B 7 shifts the irradiance response of hotosynthetic light-harvesting regulation in leaves of Arabidopsis haliana

The nuclear LHCB7 gene is common in higher plants, encodes a transcript that is well expressed in a subset of leaf mesophyll cells, and is associated with a protein product that is homologous to pigment-binding components of the photosystem (PS) II peripheral antenna complex. We compared the physiological properties of wild type and LHCB7-deficient leaves [DNA insertion, Arabidopsis thaliana (At) ecotype Columbia] in terms of pigment content, CO2 exchange, in vivo transmittance at 810 nm, and chlorophyll fluorescence. The latter two techniques are functional indicators for PSI and PSII, respectively. Key features of the mutant phenotype were confirmed using antisense technology and a hemizygote of two independent AtLHCB7 DNA insertion lines. Growth, leaf pigment composition, white light absorptance, and levels of AtLHCB1-6 were not significantly different in the mutant compared to wild type. Likewise, neither intrinsic PSII light capture efficiency nor partitioning of absorbed radiation to PSII was affected by the mutation. The absence of AtLHCB7 is associated with lower rates of light-saturated photosynthesis hotosystem uantum yield and a diminished irradiance threshold for induction of photoprotective non-photochemical quenching. Overall, the pattern of change in light utilization parameters and plastoquinol level indicated that loss of AtLHCB7 expression led to slower Rubisco turnover characterized by pH-dependent balancing of electron transport to reduced carbon assimilation capacity (photosynthetic control). No effect of AtLHCB7 genotype on xanthophyll de-epoxidation state was detected suggesting that factors in addition to lumenal pH influence zeaxanthin accumulation.
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection

The advance of smartphones and cellular networks boosts the need of mobile advertising and targeted marketing. However, it also triggers the unseen security threats. We found that the phone scams with fake calling numbers of very short lifetime are increasingly popular and have been used to trick the users. The harm is worldwide. On the other hand, deceptive advertising (deceptive ads), the fake ads that tricks users to install unnecessary apps via either alluring or daunting texts and pictures, is an emerging threat that seriously harms the reputation of the advertiser. To counter against these two new threats, the conventional blacklist (or whitelist) approach and the machine learning approach with predefined features have been proven useless. Nevertheless, due to the success of deep learning in developing the highly intelligent program, our system can efficiently and effectively detect phone scams and deceptive ads by taking advantage of our unified framework on deep neural network (DNN) and convolutional neural network (CNN). The proposed system has been deployed for operational use and the experimental results proved the effectiveness of our proposed system. Furthermore, we keep our research results and release experiment material on http://deceptiveads.twman. org and http://phonescams.twman. org if there is any update.
Robust Automated VHF Modulation Recognition Based on Deep Convolutional Neural Networks

This letter proposes a novel modulation recognition algorithm for very high frequency (VHF) radio signals, which is based on antinoise processing and deep sparse-filtering convolutional neural network (AN-SF-CNN). First, the cyclic spectra of modulated signals are calculated, and then, low-rank representation is performed on cyclic spectra to reduce disturbances existed in VHF radio signals. After that, before fine tuning the CNN, we propose a sparse-filtering criterion to unsupervised pretrain the network layer-by-layer, which improves generalization effectively. Several experiments are taken on seven kinds of modulated signals, and the simulation results show that, compared with the traditional methods and some renowned deep learning methods, the proposed method can achieve higher or equivalent classification accuracy, and presents robustness against noises.
Language comprehension in aging

There is a lot of evidence that sentence comprehension ability declines in normally aging adults. This chapter reviews variables that contribute to age-related declines in comprehension. Older adults recognize words and parse sentences more slowly than younger adults, and make more comprehension errors. These changes in comprehension ability have been associated with age-related declines in general cognitive processes, such as working memory, and in perceptual abilities, such as hearing acuity. This chapter also considers the possibility that older adults use their language expertise to compensate for age-related declines in comprehension ability.
Parabens can enable hallmarks and characteristics of cancer in human breast epithelial cells: a review of the literature with reference to new exposure data and regulatory status

A framework for understanding the complexity of cancer development was established by Hanahan and Weinberg in their definition of the hallmarks of cancer. In this review, we consider the evidence that parabens can enable development in human breast epithelial cells of four of six of the basic hallmarks, one of two of the emerging hallmarks and one of two of the enabling characteristics. In Hallmark 1, parabens have been measured as present in 99% of human breast tissue samples, possess oestrogenic activity and can stimulate sustained proliferation of human breast cancer cells at concentrations measurable in the breast. In Hallmark 2, parabens can inhibit the suppression of breast cancer cell growth by hydroxytamoxifen, and through binding to the oestrogen‐related receptor gamma may prevent its deactivation by growth inhibitors. In Hallmark 3, in the 10 nm–1 μm range, parabens give a dose‐dependent evasion of apoptosis in high‐risk donor breast epithelial cells. In Hallmark 4, long‐term exposure (>20 weeks) to parabens leads to increased migratory and invasive activity in human breast cancer cells, properties that are linked to the metastatic process. As an emerging hallmark methylparaben has been shown in human breast epithelial cells to increase mTOR, a key regulator of energy metabolism. As an enabling characteristic parabens can cause DNA damage at high concentrations in the short term but more work is needed to investigate long‐term, low‐dose mixtures. The ability of parabens to enable multiple cancer hallmarks in human breast epithelial cells provides grounds for regulatory review of the implications of the presence of parabens in human breast tissue. Copyright © 2014 John Wiley & Sons, Ltd.
Online Fixed Fraction Policies in Energy Harvesting Communication Systems

We consider power scheduling policies for single-user energy harvesting communication systems, where the goal is to characterize online policies that maximize the long term average utility, for general concave and monotonically increasing utility functions. The transmitter relies on energy harvested from nature to send its messages to the receiver, and is equipped with a finite-sized battery to store its harvested energy. Energy packets are independent and identically distributed (i.i.d.) over time slots, and are revealed causally to the transmitter. We first characterize the optimal solution for the case of Bernoulli arrivals. Then, for general i.i. d. arrivals, we first show that fixed fraction policies, in which a fixed fraction of the battery state is consumed in each time slot, are within a constant multiplicative gap from the optimal solution for all energy arrivals and battery sizes. We then derive a set of sufficient conditions on the utility function to guarantee that fixed fraction policies are within a constant additive gap as well from the optimal solution. We then apply these results to a specific scenario where a sensor node collects samples from a Gaussian source and sends them to a destination node over a Gaussian channel, and the goal is to minimize the long term average distortion of the source samples received at the destination. We study two problem settings for this case: the first is when sampling is cost-free, and the second is when there is a sampling cost incurred whenever samples are collected. For the problem with sampling costs, the transmission policy can be bursty; the sensor may collect samples and transmit for only a portion of the time. Finally, we present an alternative analysis approach that is more tailored to these distortion problems to show that fixed fraction policies achieve an additive gap that is independent of the sampling cost.