Miracle-dz/UniFAR-FTUs huggingface dataset:
An intelligent reconfiguration approach based on fuzzy partitioning in PV arrays

The reconfiguration process in photovoltaic (PV) arrays is very important to obtain maximum power under partial shading conditions. Connection architecture of array for this process is changed according to status of non-uniform shadows. However, finding of best connection in big PV arrays is hard in real-time. In this paper, a new efficient and intelligent reconfiguration approach based on partitioning of array is proposed. The proposed approach is aimed to search best connection from possible connections in several small-sized array partitions obtained with decomposing according to location of shadows to carry out control task. Thus, search space of possible connections is considerably reduced for using in real time implementation of reconfiguration process in big size PV arrays. Efficiency, accuracy, and performance proposed reconfiguration approach has been verified for different size and shading conditions with comparative simulation results.
The Future of Organic Retailing Stores: A Customer Satisfaction Survey

This study analyses the impact of customer satisfaction on economic success considering as an example the organic food retail trade. In addition, the influence of customer satisfaction on customer loyalty is examined. The study is based on 885 customer interviews and an analysis of management ratios of 11 organic food shops. The results show that customer satisfaction is a relevant key to economic success. Regression analysis results show, that some 45 % of sales per m² can be explained by the overall satisfaction of customers. The collateral inquiry of customer and shop data allows the confirmation of an essential economic effect. A further analysis identifies the quality of goods, information and service, the atmosphere, the price-performance ratio and the trust in employees as main determinants of customer satisfaction. In a second step the influence of customer satisfaction on the willingness to change shops is analysed. The results of an online survey among 170 customers show that customer satisfaction and commitment are necessary preconditions for the economic success of small organic food shops, but they are not sufficient to explain customer loyalty.
The programming effects of nutrition‐induced catch‐up growth on gut microbiota and metabolic diseases in adult mice

Substantial evidence indicated that catch‐up growth could increase the susceptibility to obesity, insulin resistance, and type 2 diabetes mellitus in adulthood. However, investigations into the “programming” effects of catch‐up growth on gut microbiota in the offspring are limited. C57/BL6 mice were fed on either low protein (LP) or normal chow (NC) diet throughout gestation and lactation. Then, the offspring were randomly weaned to either NC or high fat (HF) diet until 32 weeks of age, generating four experimental groups: NC‐NC, NC‐HF, LP‐NC, and LP‐HF. Metabolic parameters and gut microbiota were examined in the offspring. It showed that the NC‐HF and LP‐HF offspring displayed higher body weight (P < 0.05), impaired glucose tolerance (P < 0.001), and elevated serum lipids (P < 0.05) at 32 weeks of age. Both the operational taxonomic units (OTUs) and the Shannon indexes (P < 0.05) showed significantly lower microbial diversity in NC‐HF and LP‐HF offspring. There were significant variations in the compositions of gut microbiota in the NC‐HF and LP‐HF offspring, compared with NC‐NC offspring (P < 0.05). Furthermore, it indicated Lactobacillus percentage was negatively associated with blood glucose concentrations of intraperitoneal glucose tolerance test (r = −0.886, P = 0.019). In conclusion, catch‐up growth predisposes the offspring to gut microbiota perturbation, obesity, impaired glucose tolerance, insulin resistance, and dyslipidemia. Our study is novel in showing the “programming” effects of nutrition‐induced catch‐up growth on gut microbiota and metabolic diseases in later life.
Direct adaptive formation control of multiple mobile robots using hierarchical fuzzy systems

The Leader/Follower formation control of mobile robots with uncertain dynamical models is investigated in this paper and adaptive shape tracking controller is developed for the follower. Firstly, a kinematic shape tracking controller is presented based on the formation equation, then the shape tracking error equation is derived with backstepping technology and a direct adaptive dynamical shape tracking controller is constructed by using hierarchical fuzzy systems (HFSs) to approximate the uncertainties. It is proved that both shape tracking errors of the follower and adaptive parameters of the HFSs are uniformly ultimately bounded (UUB). Numerical simulations demonstrate the effectiveness of the proposed control strategies.
How much can the option value to refinance explain the premium associated with an assumable loan ?

An assumable loan that carries a lower-than-market rate of interest has value because of its advantageous rate. An investor who employs a traditional loan can, however, avoid the downside risk of interest rates because the investor has the option to refinance the loan when future market interest rates decrease. This option value can explain why only one-third to two-thirds of the premium associated with assumption financing is capitalized into the home selling prices. The premium associated with the assumable loan will be eroded more by the option value to refinance when the term of the loan lasts longer, when the interest rate becomes more volatile, and when the spread between the assumable rate and the market rate shrinks.
A Flash File System for Resource Restricted Platforms

A computing device is usually comprised of a processing unit, a volatile memory area (primary memory) and a persistent memory area (secondary memory). Nowadays, in most of mobile computing devices data are persisted in flash memory, which is a kind of non-volatile memory that may be electrically recorded and erased, i.e., an EEPROM (Electrically Erasable Programmable Read-Only Memory) chip. Such memory is also used to implement memory cards, USB sticks and solid state drives. Data persisted in flash memory need to be recorded in a structured way, such that organizing, searching and accessing the data may be done in a transparent way. In other words, efficient file systems should be designed and implemented for flash memory. There are file systems designed for flash memory. Notwithstanding, most of them have not been designed to take into account severe computing resources restrictions, such as processing power and available primary memory area.In this work, we present a flash file system, denoted Nano-FS, which is quite efficient to run in computing devices with severe computing restrictions. Nano-FS has been implemented to run in a hardware platform, which was in fact a control board for managing data produced by multiple measurement devices (sensors).
Literature curation of protein interactions: measuring agreement across major public databases

Literature curation of protein interaction data faces a number of challenges. Although curators increasingly adhere to standard data representations, the data that various databases actually record from the same published information may differ significantly. Some of the reasons underlying these differences are well known, but their global impact on the interactions collectively curated by major public databases has not been evaluated. Here we quantify the agreement between curated interactions from 15 471 publications shared across nine major public databases. Results show that on average, two databases fully agree on 42% of the interactions and 62% of the proteins curated from the same publication. Furthermore, a sizable fraction of the measured differences can be attributed to divergent assignments of organism or splice isoforms, different organism focus and alternative representations of multi-protein complexes. Our findings highlight the impact of divergent curation policies across databases, and should be relevant to both curators and data consumers interested in analyzing protein-interaction data generated by the scientific community. Database URL: http://wodaklab.org/iRefWeb
New Evidence from S&P 500 Index Deletions

Kamal, Lawrence, McCabe, and Prakash (2012) argue that information asymmetry exists in the financial markets and additions to S&P 500 Index convey new information about the added firms to the uninformed investors. They further argue that because of important changes and regulations in the financial markets, like, Regulation Fair Disclosure, Sarbanes-Oxley Act, and Decimalization of the exchanges, in or after the year 2000, information asymmetry has decreased. In support of their arguments, they find that for additions, the positive abnormal returns on announcement day have decreased, and added stocksâ€™ liquidity changes have become marginal in the post-2000 period. We extend their work and for a sample of deletions between October 1989 and December 2011, we find that the negative abnormal returns on the announcement day are not significantly different in the post-2000 period, but the negative returns are reversed earlier in the post-2000 period. Contrary to our expectation, liquidity changes after deletion are significant in the post-2000 period. However, when we divide our sample into optioned versus nonoptioned stocks and control for other factors that affect liquidity, we find that liquidity changes after deletion are insignificant in the post-2000 period.
The p53 isoform delta133p53ß regulates cancer cell apoptosis in a RhoB-dependent manner

The TP53 gene plays essential roles in cancer. Conventionally, wild type (WT) p53 is thought to prevent cancer development and metastasis formation, while mutant p53 has transforming abilities. However, clinical studies failed to establish p53 mutation status as an unequivocal predictive or prognostic factor of cancer progression. The recent discovery of p53 isoforms that can differentially regulate cell cycle arrest and apoptosis suggests that their expression, rather than p53 mutations, could be a more clinically relevant biomarker in patients with cancer. In this study, we show that the p53 isoform delta133p53ß is involved in regulating the apoptotic response in colorectal cancer cell lines. We first demonstrate delta133p53ß association with the small GTPase RhoB, a well-described anti-apoptotic protein. We then show that, by inhibiting RhoB activity, delta133p53ß protects cells from camptothecin-induced apoptosis. Moreover, we found that high delta133p53 mRNA expression levels are correlated with higher risk of recurrence in a series of patients with locally advanced rectal cancer (n = 36). Our findings describe how a WT TP53 isoform can act as an oncogene and add a new layer to the already complex p53 signaling network.
Scheduling of periodic time critical applications for pipelined execution on heterogeneous systems

Allocation of tasks of a periodic, time critical application, onto a set of processors, with task duplication is examined here. Pipelined execution, where computations and communications take place simultaneously, is employed to meet the required flow rate of the application. The prime objective of the algorithm is to reduce the number of pipeline stages and/or the pipeline period and thereby reducing pipeline latency. The algorithm is well suited for both homogeneous and heterogeneous systems and it is scalable. The order of complexity of the algorithm is O(/spl nu//sup 2/), where /spl nu/ is the number of nodes in directed acyclic task graph (DAG) representing the application. Simulations have indicated that the proposed algorithm generates 9%-52% shorter pipelines.
Socialization Helps the Treatment of Depression in Modern Life

Today modern people suffer from mental illnesses and depression is one of the most commonly diagnosed disorders among children and adults. The treatment of this disorder is long, expensive and sometimes there are no mental health professionals or medical opportunities to treat it. Therefore, we should understand the etiology of this problem and seek alternative methods for healing. This paper deals with non-traditional approach for the treatment of this mental health problem. Researchers found that one of the fundamental reasons for the depression is isolation, loneliness and lack of social support. If people can get some degree of social and emotional support, they will get through the difficult times easily and smoothly. Thus, we should provide natural settings for ourselves and our children to exercise their social skills and learn how to socialize.
Does Sex of Dyad Members Really Matter? A Review of Leader-Member Exchange

Leader-member exchange (LMX) generally refers to the leadership process centered on the interactions between leaders and direct reports. The basic premise of high quality leader-member exchange relationships holds that direct reports gain tremendous benefits through these partnerships. LMX is perhaps the most commonly researched theory of leadership. However, few studies have specifically examined the role of dyad members’ sex as a predictor of quality LMX. Several studies investigating the role of dyad members’ sex and quality LMX examined the effect of sex in an aggregated variable, demographic similarity, which often included other demographic characteristics such as age, education level and race, yielding mixed results. This article’s purpose is to (a) review the evolution of leader-member exchange theory, (b) examine literature regarding potential effects of sex of dyad members on quality leader-member exchanges, and (c) discuss implications and future research concerning the role of dyad members’ sex and leader-member exchanges.
A Community-Supported Clinic-Based Program for Prevention of Violence against Pregnant Women in Rural Kenya

Objective. Pregnant women are especially vulnerable to adverse outcomes related to HIV infection and gender-based violence (GBV). We aimed at developing a program for prevention and mitigation of the effects of GBV among pregnant women at an antenatal clinic in rural Kenya. Methods. Based on formative research with pregnant women, male partners, and service providers, we developed a GBV program including comprehensive clinic training, risk assessments in the clinic, referrals supported by community volunteers, and community mobilization. To evaluate the program, we analyzed data from risk assessment forms and conducted focus groups (n = 2 groups) and in-depth interviews (n = 25) with healthcare workers and community members. Results. A total of 134 pregnant women were assessed during a 5-month period: 49 (37%) reported violence and of those 53% accepted referrals to local support resources. Qualitative findings suggested that the program was acceptable and feasible, as it aided pregnant women in accessing GBV services and raised awareness of GBV. Community collaboration was crucial in this low-resource setting. Conclusion. Integrating GBV programs into rural antenatal clinics has potential to contribute to both primary and secondary GBV prevention. Following further evaluation, this model may be deemed applicable for rural communities in Kenya and elsewhere in East Africa.
Propolis Prevents Hepatorenal Injury Induced by Chronic Exposure to Carbon Tetrachloride

Carbon tetrachloride (CCl4) is a well-known hepatotoxicant, and its exposure induces hepatorenal injury via oxidative stress and biochemical alterations. This study had been conducted to confirm the protective role of propolis extract on CCl4-induced hepatorenal oxidative stress and resultant injury. Propolis extracts collected from Gwalior district and 24 female Sprague Dawley rats were used for experiment. Animals were exposed to CCl4 (0.15 mL/kg, i.p.) for 12 weeks (5 days/week) followed by treatment with propolis extract (200 mg/kg, p.o.) for consecutive 2 weeks. CCl4 exposure significantly depleted blood sugar and hemoglobin level and raised the level of transaminases, alkaline phosphatase, lactate dehydrogenase, protein, urea, albumin, bilirubin, creatinine, triglycerides, and cholesterol in serum. Lipid peroxidation was enhanced, whereas GSH was decreased significantly in liver and kidney in CCl4-intoxicated group. Ethanolic extract of propolis successfully prevented these alterations in experimental animals. Activities of catalase, adenosine triphosphatase, glucose-6-phosphatase, acid, and alkaline phosphatase were also maintained towards normal with propolis therapy. Light microscopical studies showed considerable protection in liver and kidney with propolis treatment, thus, substantiated biochemical observations. This study confirmed hepatoprotective potential of propolis extract against chronic injury induced by CCl4 by regulating antioxidative defense activities.
The end of elitism? : the democratisation of the West German university system

Part 1 Mergers and the search for cost effectiveness. Part 2 the classical university in Germany and the need for reform: a cultural and historical background for the comprehensive universities the three unities of the classical university the classical university and the state conclusion. Part 3 The genesis of the comprehensive universities: political developments affecting the ideology of the classical German university overcrowding of post-war universities the reforms of the 1960s the student revolt plans for comprehensive universities. Part 4 Structure and objectives: the federal versus the unitary model the establishment of the comprehensive universities the aims of the "Gesamthochschulen" the main institutional components of the "Gesamthochschulen". Part 5 Teaching and research: the integrated degree courses theory and practice research. Part 6 Staff and students: the integration of the staff the students. Part 7 The fate of the comprehensive universities: state power in innovation Have the "Gesamthochschulen" done what they set out to do? non-conservatism and comprehensive higher education.
Universal coding theorem for relay channels

Relay channels are known as a model of multihop wireless networks which are often studied. In relay channels, the sender sends a message to the relay and the receiver, the relay encodes the channel output again and forwards it to the receiver, and the receiver decodes the message from the channel output. This paper deals with the universal coding problem for relay channels. First, we propose two new decoders based on the maximum mutual information decoder and show the existence of a universal code for relay channels by combining the proposed decoders and the coding scheme obtained by Cover and El Gamal. Second, we clarify the condition that the probability of error for each decoder decreases exponentially as the block length tends to infinity. Finally, we prove that the proposed universal code achieves the capacity of the degraded relay channel.
Wavelet Packet Decomposition Based Traversable Terrain Classification for Autonomous Robot Navigation

Autonomous robot must possess the capability to traverse intelligently on various terrains that may largely affect the performance and controllability of the vehicle. To enable autonomous navigation on natural unknown terrain, the traversal difficulty must be evaluated initially. This is accomplished by real-time assessment and classification of terrain for traversability analysis. A technique for terrain classification for traversability assessment of terrain by extracting the textural features from visual sensing of terrain data using wavelet packet decomposition (WPD) is presented in this paper. Clustering is used to classify the terrain describing its suitability for navigation. And further we have presented a fast and optimum algorithm for path planning of robot on the assessed navigable terrain.
End-User Development of Visualizations

In this article the authors investigated a visualization tool (uVis) for end-user developers, in order to see how end users actually use it. The tool was an early version and the investigation helped the authors to improve it. The investigation showed that users appreciated the simple formula language, the coordinated panels, and the drag-and-drop mechanism. However, the most important thing for them was the immediate response when they changed something, for instance part of a formula. The entire visualization was updated immediately without having to switch from development view to production view. With uVis, developers construct a visualization from simple visual components such as boxes, curvePoints, and textboxes. All component properties such as Top and BackColor can be complex formulas similar to spreadsheet formulas. The operands in the formula can address relational data in a database, other visual objects, and dialog data provided by the user. A special Rows property can bind to a database query and make the component replicate itself for each row in the query. In this way, traditional as well as novel visualizations can be constructed. The most serious usability problems were data binding and not noticing errors (errors were shown in an error list, but not in the formula that had the error). There were many other usability problems. Removing them would speed up learning and make the tool more successful.
A biometric-based Password Authentication with key Exchange Scheme using Mobile Device for Multi-Server Environment

Remote authentication for multi-server environment can help users register only once and access arbitrary services conveniently in the same registry realm. However, most of the solutions are plagued by security problems. In this paper, we point out that 'a novel smart card and dynamic ID based remote user authentication scheme for multi-server environment' is vul nerable to user impersonation attack, server masquerade attack and cannot achieve forward secrecy. Therefore, by introducing biometrics as the third authentication factor, we devise an enhanced three-factor based remote authentication with key agreement scheme for multi- server environment. In our designation, we combine the technologies of Client Puzzle, Fuzzy Extractor, message authentication code (MAC) and Diffie-Hellman key exchange. Moreover, our proposal not only maintains the advantages of the original, but also preserves user privacy with optional access mode. Meanwhile, it can be also reduced to two-factor based scheme with less security properties for specific applications. Finally, the proposed scheme is p roved to work correctly through BAN-Logic, and the security analysis and performance cost are discussed to show that our proposal is more secure, robust and practical.
Factors That Affecting Continuance Intention To Use E-ticketing On Krl Jabodetabek

Abstract Mass transportation modes in Jakarta and surrounding areas (JABODETABEK) are growing. One of the most used public transportation in JABODETABEK for daily basis is electric railway (KRL) to avoid traffic in the city. Along with increased the number of KRL passengers, PT KCI improve facilities of KRL. Therefore, KCJ also provide e -ticketing eager to support government program (GNNT) which is KMT. The objective of this research is to analyze factors inside modified UTAUT 2 model that influence the users on using KMT as e-ticketing on KRL JABODETABEK and to analyzed age and gender affecting the influence inside UTAUT 2 model in the context of using KMT. This research used data from 400 respondents who have been using KMT chosen by Purposive Non-Probability Sampling technique. To test the hypotheses, this research use Structural Equation Modelling (SEM) with SmartPLS 3.0 as statistic software. The result revealed that there are five factors in the UTAUT2 Model which significantly influence the continuance intention of KMT usage, namely Habit, Hedonic Motivation, Social Influence, Performance Expectancy, and Price Value. In terms of moderating factors, age does not affect any factors and gender only affect Habit. The model can predict moderate the continuance intention of KMT usage since the R² is 70.9%. Keywords: KMT, e-ticketing, e-money, Continuance Intention, UTAUT 2