Miracle-dz/UniFAR-FTUs huggingface dataset:
Charging and Discharging Scheduling for Electrical Vehicles Using a Shapley-Value Approach "2279

The number of electric vehicles (EV) in the world has been increasing and is gaining momentum. The large-scale use of EVs in public life has initiated the need to establish EV battery charging services within the power system. Currently, EVs serve as a transportation tool and also as a flexible load. This publication examines the possibility of the owner of an electric vehicle choosing a battery recharging point, as well as of the involvement of several decision makers in the selection of a charging schedule. This problem is important because we assume that a significant proportion of EVs mainly use two parking spaces, one located close to the place of residence and another close to the workplace. We accept and prove that a car charging station can be created by the employer (company) and implemented in the best interests of the employer and the employee (EV owner). For that, a coalition between the company and the EV owner has to be formed. To support rational decisions, this study solves the problem using the cooperative game theory and designs a payment distribution mechanism based on the Shapley value. The results obtained prove that the coalition is beneficial under different conditions, which depend on the capacity of the EV, the distance between the workplace and the place of residence, the difference in the electricity prices of the day, as well as the consumption of the company. In order to estimate the coalition’s gain, it is necessary to take into account the structure of the power tariff system for both the company and the EV owner. Furthermore, we prove that the presence of a coalition allows the company and the EV owner to reduce the annual fee for consumed power. The results of this analysis could be adopted by decision makers such as government agencies, companies, EV owners, and they are recommended for potential investors for the development of transport electrification and smart energy.
IDENTIFYING COGNITIVE AND BEHAVIORAL ENDOPHENOTYPES IN FAMILIES WITH AUTISM SPECTRUM DISORDERS

Individuals with autism spectrum disorders (ASDs) demonstrate a wide variety of clinical presentations. Although the etiology is unknown, it is likely that ASDs result from a complex interaction of genetic and environmental factors. It may also be the case that there are multiple types of ASD, each with their own unique etiology and developmental trajectory. It has been difficult to identify homogeneous groups of individuals with ASD that in turn makes it difficult to discover any etiology. Neurocognitive characteristics of ASD may be a helpful way to find ASD subtypes. However, consistent neurocognitive patterns in ASD have not emerged. One potential method for studying genetic etiology is to examine nonautistic family members. Certain characteristics of ASD have been shown to occur in other family members at a subclinical level. These are known as endophenotypes or intermediate traits that may be genetically related to ASD. If subtypes of ASD can be identified based on neurocognitive profiles, those same profiles may also exist in some family members as endophenotypes. The present study aimed to examine the cognitive and behavioral profiles in families with ASDs. A cluster analysis utilizing constructs of IQ, language, social ability behavior, and adaptive behavior was performed on the affected family members. Similar methods and constructs were applied to unaffected family member data, and results were compared. Four clusters emerged in the affected lt i lt l
Performance of AWGN Channel Using Least Square Modified Algorithm

: MIMO-OFDM is commonly used communication system due to its high transmission rate and robustness against multipath fading. In MIMO-OFDM, channel estimation plays a major role. It refers to estimation of transmitted signal bits using the corresponding received signal bits. Among the different channel estimation methods, Least Square (LS), Least Square-Modified (LS-Mod) and Minimum Mean Square Error (MMSE) methods are commonly used. In this project, we use 16QAM Modulation and AWGN channel model are implementing by using LS, LS-Modified and MMSE algorithms. In LS estimation, procedure is simple but it has high Mean Square Error. In low SNR, MMSE is better than that of LS, but its main problem is its high computational complexity and LS-Modified is considered to be the best among the three channel estimation methods. The system is simulated in MATLAB and analysed in terms of Bit Error Rate with Signal to Noise Ratio.
Evolution of Automated Regression Testing of Software Systems Through the Graphical User Interface

—Increasing and more ubiquitous use of mobile and Web applications with graphical user interfaces (GUIs) places more stringent requirements on the software’s quality. Automated testing is used to ensure the quality but testing through the software’s GUI is challenging and therefore a research topic that has grown during the last decade. However, despite of the evolution of automated GUI-based testing methods and tools, its industrial adoption has been limited. In this paper, we present a synthesis of the evolution of GUI-based test automation and propose a classification for methods and tools for automated regression through the GUI.
PPA_A_319447 1681..1692

1Xiangya Nursing School of Central South University, Changsha, Hunan Province, People’s Republic of China; 2West China Hospital Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 3The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People’s Republic of China Purpose: Being ready for discharge is vital to successful hospital-to-home transitions. However, despite a wealth of evidence on its effectiveness, little is known about readiness for hospital discharge (RHD) in adult patients with major depressive disorder (MDD) and its influencing factors. In this study, we investigated the patient-reported RHD and its influencing factors among Chinese adult patients with MDD. Patients and Methods: In this cross-sectional design study, 230 adult patients with MDD were recruited according to the inclusion and exclusion criteria, 6 were excluded due to incomplete questionnaires, finally 224 patients were included in our study. Data were collected from March to September 2019 in a tertiary general hospital in Hunan Province (China). The general information, RHD, quality of discharge teaching and level of depression were assessed by using questionnaires. Univariate analysis and ordinal logistic regression analysis were performed to explore the influencing factors of RHD. Results: The RHD score was 7.37 ± 1.40, and 36.2% of participants were not ready for discharge. The score of quality of discharge teaching scale (QDTS) was 6.36 ± 1.89, the dimension of delivery scored highest, followed by content-needed and content-received. The proportions of patients with no, mild, moderate, moderately severe and severe depression were 12.5%, 27.7%, 25.0%, 25.4% and 9.4%, respectively. The following factors were associated with RHD: the level of depression (OR=0.66), the content-received dimension of QDTS (OR=1.16), education level (OR=1.24), work status (OR=1.76) and length of hospitalization (OR=0.53). Conclusion: The RHD among participants was at a moderate level. It is strongly suggested to take the assessment of RHD as a routine process. High education level, employment and the content-received dimension of QDTS were protective factors of participants’ RHD, and long-term hospitalization, the high level of depression were its risk factors.
Chemical Components and Biological Activities of Areca catechu L.

Areca catechu L. is a palm plant, widely distributed in the tropical and subtropical districts, such as southeast Asia and Hainan, Taiwan, Hunan and Fujian in China. Some studies on the chemical components (alkaloids, flavonoids, tannins, triterpenes, fatty acids, etc.) and biological activities (anti-bacterial, anti-viral and antitumor, anti-oxidation, anthelmintic action, effects on the nervous system and effects on the digestive system) have been reported. This review briefly describes the research progress of the chemical components and biological activities of Areca catechu L, to provide the reference to the researchers. *Correspondence to: Jianping Yong, Xiamen Institute of Rare-earth Materials, Haixi Institute, Chinese Academy of Sciences, China, Tel: +86-591-63173162, E-mail: jpyong@fjirsm.ac. cn
Loss of Abcc1 (Mrp1) potentiates chronic doxorubicin-induced cardiac dysfunction in mice

Doxorubicin (DOX), an effective cancer chemotherapeutic agent, induces dosedependent cardiotoxicity, in part due to its ability to cause oxidative stress. We investigated the role of multidrug resistance-associated protein 1 (Mrp1/Abcc1) in DOXinduced cardiotoxicity in C57BL (WT) and their Mrp1 null (Mrp1-/-) littermates. Male mice were administered intraperitoneal DOX (3 or 2 mg/kg body weight) or saline twice a week for 3 weeks and examined 2 weeks after the last dose (Protocol A total dose: 18 mg/kg) or for 5 weeks, and mice examined 48 h and 2 weeks after the last dose (Protocol B total dose: 20 mg/kg). Chronic DOX induced body weight loss and hemotoxicity, adverse effects significantly exacerbated in Mrp1-/vs WT mice. In heart, significantly higher basal levels of GSH (1.41±0.27-fold) and GSSG (1.35±0.16-fold) were detected in Mrp1-/vs WT mice, and comparable decreases in the GSH/GSSG ratio in WT and Mrp1-/mice following DOX. Surprisingly, DOX induced comparable increases in the glutathione conjugate of 4-hydroxynonenal (GS-HNE) concentration in heart from WT and Mrp1-/mice. However, more DOX-induced apoptosis was detected in Mrp1-/vs WT heart (p < 0.05) (Protocol A), and cardiac function, assessed by measurement of fractional shortening (FS) and ejection fraction (EF) with echocardiography, was significantly decreased in Mrp1-/vs WT by DOX (p < 0.05; 95% CI of FS: 20.0 – 24.3% vs 23.7 – 29.5%; 95% CI of EF: 41.5 – 48.4% vs 47.7 – 56.7%; Protocol B). Together, these data indicate that Mrp1 protects the mouse heart against chronic DOX-induced cardiotoxicity. This article has not been copyedited and formatted. The final version may differ from this version. JPET Fast Forward. Published on September 9, 2015 as DOI: 10.1124/jpet.115. 225581 at A PE T Jornals on A uust 0, 2017 jpet.asjournals. org D ow nladed from
Next Generation Antimyeloma Agents: A Review

Multiple myeloma is still an incurable disaese despite major advances in treatment seen in the past decade. An increased knowledge about the myeloma pathogenesis led to a discovery of new potent drugs. Our goal is to discuss some of these new treatment options, mainly those that are already approved for the treatment of myeloma patients. Data on new generation of proteasome inhibitors (carfilzomib, ixazomib), new immunomodulatory agents (pomalidomide), monoclonal antibodies (daratumumab, elotuzumab), histone deacetylase inhibitors (vorinostat, panobinostat) and new immunotherapy options (CAR T cells) are presented in this manuscript.
Deep Learning Approach for Classifying Galaxies

Structural analysis of galaxy images is useful for studying galaxy formation and evolution for example, we can observe that stars in an elliptical galaxy tend to be older than the stars in spiral galaxies. Our universe consists of billions of galaxies and studying the properties of galaxies will allow us to obtain a deeper understanding of physics of the universe that we live in. Surveys conducted by Sloan Digital Sky Survey (SDSS) have provided us with millions of images, which has allowed researchers to conduct analysis on galaxy morphology. Morphological analysis was usually carried out by trained experts, which takes a lot of time and is impractical when large numbers of images are involved. Previous efforts to build machine learning based systems were not able to achieve the required levels of precision. Instead, the Galaxy Zoo project applied a crowd sourcing strategy to classification, using online volunteers to classify the images by answering a series of questions. However, even this approach does not scale properly to keep up with the increasing size of datasets. To deal with these problems, an automated approach became necessary. Thanks to the availability of training set from crowd sourcing, it has become feasible to train machine learning models for this task effectively. In this paper, we use a deep neural network model for galaxy structure classification, which exploits translational and rotational symmetry in the images. Keywords— Deep Learning, Neural Network, Classification
Design Briefing for Emotions & Meaning

Industrial Design that incorporates meaning and emotions is becoming an important strategic differentiator in offerings. Integrating these elements in the synthesis of concepts requires the upfront inclusion of these elements in the design briefing. The approach developed here is inspired by findings from psychiatry and branding. Applying Design Quantification, a matrix is constructed for systematic inclusion of meaning and emotion in the content of the design briefing. To avoid exceeding designers’ cognitive abilities to synthesize concepts, an appropriate balance for inclusion of these elements is examined. An estimate of appropriate content of meaning and emotions is accomplished though auditing state-of-the-art proposals for integration opportunities. Applying Design Quantification, engineering and industrial design focused proposals are analyzed, revealing important inclusion of and co-dependencies between traditional Design Quality Criteria. The results become recommended guidelines for balancing the content in a design briefing, thereby, effectively supporting the integration of meaning and emotion in offerings.
DIVIDEND POLICY: AN EMPIRICAL TEST USING TIlE

The finance literature has not yet reached a consensus on the relevance of dividend policy. The main consideration in the dividend policy debate is the impact of dividends on the value of the finn's stock. Dividend policy issues have been investigated by many. Miller and Modigliani [9] analyzed the special case of perfect markets and concluded that dividend policy does not detennine or affect the value of the finn. Others ([6], [8]) have argued· that investors prefer dividend to capital gains, and thus dividend policy affects the valuation of the company stock. Most recent academic work leans toward the argument that dividend policy is relevant Survey results reported by researchers ([1], [11]) indicate that corporate chief financial officel8 believe that dividend policy does affect stock prices. Baskin [2] analyzed dividend policy and found an inverse correlation between dividend yield ~d stock price volatility. The purpose of this study is to examine the relationship between dividend policy and stock price volatility to detennine if dividend yield has an impact on either stock price behavior, the rate of growth, or stock beta.I We have chosen to observe dividend yield and stock price behavior in the period surrounding the crash of October 1987. Such a period provides us with an excellent opportunity to examine factors that affect the adjustment of prices of individual stocks to major market changes. The primary hypothesis for this study is that stock prices of fInDS with high cash dividend yields are less sensitive to a market crash and exhibit lower market risk (beta) than stock prices of firms with low or no cash dividend yields. That is, the market does care about dividend policy. Dividend policy is one important finn-specific factor that could modify the effect of a crash on a finn's stock price. This is important information for investors and has implications for portfolio strategies. The concept of duration2 is the theoretical basis for the explanation of an inverse
Efficient User Revocable Data Access Control for Centralized Authority Cloud Storage

: Cloud computing is one of the emerging technologies in order to outsource huge volume of data inters of storage and sharing. To protect the data and privacy of users the access control methods ensure that authorized users access the data and the system. Fine grained-approach is the appropriate method for data access control in cloud storage. However, Data access control is an effective method to assure the data security in the cloud. Due to data outsourcing and untrusted cloud servers, the data access control becomes a difficult problem in cloud storage systems. Ciphertext-Policy Attribute based Encryption (CP-ABE) is expressed as one of the most appropriate technologies for data access control in cloud storage, because it gives data owners direct control on access policies. However, it is difficult to apply existing CP-ABE schemes to data access control for cloud storage systems because of the attribute revocation problem. To overcome existing problems we introducing centralized attribute authority, and CAA will take the attribute from the users and they will generate the secrete Hash key . data owner will encrypt the file based on CAA public key and secrete key. Here CA will not decrypt the cipher text because it is associated with CAA public key and secrete key.
Inhibition of cysteine and aspartyl proteinases in the alfalfa weevil midgut with biochemical and plant-derived proteinase inhibitors

Proteolytic activities in alfalfa weevil ( Hypera postica) larval midguts have been characterized. Effects of pH, thiol activators, low-molecular weight inhibitors, and proteinase inhibitors (PIs) on general substrate hydrolysis by midgut extracts were determined. Hemoglobinolytic activity was highest in the acidic to mildly acidic pH range, but was maximal at pH 3.5. Addition of thiolactivators dithiothreitol (DTT), 2-mercaptoethanol (2-ME), or l-cysteine had little effect on hemoglobin hydrolysis at pH 3.5, but enhanced azocaseinolytic activity two to three-fold at pH 5.0. The broad cysteine PI E-64 reduced azocaseinolytic activity by 64% or 42% at pH 5 in the presence or absence of 5 mM l-cysteine, respectively. Inhibition by diazomethyl ketones, Z-Phe–Phe–CHN 2 and Z-Phe–Ala–CHN2, suggest that cathepsins L and B are present and comprise approximately 70% and 30% of the cysteine proteolytic activity, respectively. An aspartyl proteinase component was identified using pepstatin A, which inhibited 32% (pH 3.5, hemoglobin) and 50% (pH 5, azocasein) of total proteolytic activity. This activity was completely inhibited by an aspartyl proteinase inhibitor from potato (API), and is consistent with the action of a cathepsin D-like enzyme. Hence, genes encoding PIs with specificity toward cathepsins L, B and D could potentially be effective for control of alfalfa weevil using transgenic plants.  2000 Elsevier Science Ltd. All rights reserved.
Malawian children with uncomplicated and cerebral malaria have decreased activated V#_#x03B3;9V#_#x03B4;2 #_#x03B3;#_#x03B4; T cells which increase in convalescence

Malaria is responsible for almost half a million deaths annually. The role of Vγ9Vδ2 γδ T cells in malaria is still unclear. Studies have reported an association between this cell subset and malaria symptoms and severity. Profiles of Vγ9Vδ2 γδ T cells in bigger cohorts with different levels of clinical severity have not been described. Proportion, numbers, and activation status of Vγ9Vδ2 γδ T cells were measured by flow cytometry in 59 healthy controls (HCs), 58 children with uncomplicated malaria (UM) and 67 with cerebral malaria (CM,) during acute malaria and in convalescence 28 days later. Vγ9Vδ2 γδ T cell were lower in children presenting with UM and CM than in HCs. Cell counts did not vary with malaria severity (CM median counts 40 x 10 cells/μL, IQR [23–103]; UM median counts 30 x 10 cells/μL [10–90], P = 0.224). Vγ9Vδ2 γδ T cell counts increased during convalescence for UM (70 [40–60] x 10 cells/μL and CM (90 [60–140] x 10 cells/μL), to levels similar to those in HCs (70 [50–140] x 10 cells/μL), p = 0.70 and p = 0.40 respectively. Expression of the activation markers CD69 and HLA-DR on Vγ9Vδ2 γδ T cells was higher in malaria cases than in controls (HCs vs UM or CM, p < 0.0001) but was similar between UM and CM. HLA-DR expression remained elevated at 28 days, suggesting sustained activation of Vγ9Vδ2 γδ T cells during recovery. Vγ9Vδ2 γδ T cell proportions and cells counts were suppressed in acute disease and normalized in convalescence, a phenomenon previously hypothesized to be due to transient migration of the cells to secondary lymphoid tissue. The presence of highly activated Vγ9Vδ2 γδ T cells suggests that this T cell subset plays a specific role in response to malaria infection. PLOS ONE | https://doi.org/10.1371/journal.pone. 0223410 October 10, 2019 1 / 13 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111
Homeotic genes are expressed differentially along the anteroposterior axis of the animal body and specify segment- specific morphological characteristics by regulating sets of target genes (Lewis, 1978). How the function of Hox genes

Homeotic genes are expressed differentially along the anteroposterior axis of the animal body and specify segmentspecific morphological characteristics by regulating sets of target genes (Lewis, 1978). How the function of Hox genes have diverged and contributed to diversification of animal morphologies has been a major focus of investigations (Carroll et al., 2001). Genetic alteration of local (Warren et al., 1994) or segmental (Averof and Patel, 1997) patterns of Hox gene expression and changes in selectivity of target genes (Weatherbee et al., 1999) have been proposed as evolutional mechanisms of segmental diversification of arthropod limbs. Another hypothesis is that structural changes in homeotic proteins have altered their regulatory capabilities and contributed to evolutional changes in the number of arthropod limbs (Li and McGinnis, 1999). Crustaceans bear several pairs of thoracic limbs in a variety of sizes as well as branching patterns that are grouped into two major types (Brusca and Brusca, 1990). Larger ones serve as legs for mainly locomotive functions. Another type of the thoracic limb, termed the maxilliped, is smaller and its branching is suppressed, resembling head appendages used for feeding functions. The number of maxillipeds varies from three pairs in Homarusto one in Mysidiumand none in Artemia. Averof and Patel (Averof and Patel, 1997) have reported that the anterior borders of Ubx/abdA expression varied in ten crustacean species examined, and that the changes correlate well with the borders of transition from maxillipeds to legs. The authors proposed that evolutional change in Ubx/abdA expression determines the number of segments bearing maxillipeds. However, what specifies the morphological characteristics of maxillipeds is not known to date. One prediction is that another homeotic gene expressed anterior to Ubx/abdA directly specifies the shape of the maxillipeds. We have studied the expression and function of the homeotic gene Antennapediaof Daphnia magna. We first show that Daphnia Antennapedia(DapAntp) is regulated by a posttranscriptional mechanism that limits its protein expression to a subset of T1 leg primordium in a pattern complementary to the expression of Distal-less (DLL). Using assays in Drosophila, we show that DapAntp is capable of repressing Distal-less (Dll) expression and limb development. The protein region responsible for this repressive activity was mapped to the highly divergent N-terminal region of DapANTP, suggesting that functional alteration of homeotic proteins has played a significant role in the evolution of crustacean limb patterns.