Miracle-dz/UniFAR-FTUs huggingface dataset:
Organo-Selenium-Containing Polyester Bandage Inhibits Bacterial Biofilm Growth on the Bandage and in the Wound

The dressing material of a wound plays a key role since bacteria can live in the bandage and keep re-infecting the wound, thus a bandage is needed that blocks biofilm in the bandage. Using an in vivo wound biofilm model, we examined the effectiveness of an organo-selenium (OS)-coated polyester dressing to inhibit the growth of bacteria in a wound. Staphylococcus aureus (as well as MRSA, Methicillin resistant Staph aureus), Stenotrophomonas maltophilia, Enterococcus faecalis, Staphylococcus epidermidis, and Pseudomonas aeruginosa were chosen for the wound infection study. All the bacteria were enumerated in the wound dressing and in the wound tissue under the dressing. Using colony-forming unit (CFU) assays, over 7 logs of inhibition (100%) was found for all the bacterial strains on the material of the OS-coated wound dressing and in the tissue under that dressing. Confocal laser scanning microscopy along with IVIS spectrum in vivo imaging confirmed the CFU results. Thus, the dressing acts as a reservoir for a biofilm, which causes wound infection. The same results were obtained after soaking the dressing in PBS at 37 °C for three months before use. These results suggest that an OS coating on polyester dressing is both effective and durable in blocking wound infection.
Populations Two Unique Human Decidual Macrophage

DataSupplementary53.DC1. html http://www.jimmunol. org/content/suppl/2011/01/21/jimmunol.10031Referenceshttp://www.jimmunol. org/content/186/4/2633.full. html#ref-list-1 This article cites 43 articles, 19 of which can be accessed free at:Subscriptionshttp://www.jimmunol. org/subscriptions Information about subscribing to The Journal of Immunology is online atPermissionshttp://www.aai. org/ji/copyright.html Submit copyright permission requests atEmail Alertshttp://www.jimmunol. org/etoc/subscriptions.shtml/ Receive free email-alerts when new articles cite this article. Sign up at
Role of Guidance and Counseling in Addressing Prevalence and Commonly Abused Drugs in University of Kabianga

Drug abuse is becoming an increasing problem in Kenya. Several studies carried out in the country have shown that almost all young Kenyans have experimentedon drugs. What causes concern is that a big proportion of these young people eventually get addicted which affects theirhealth and safety, and at the same time affects their families and the society at large.The purpose of this study was, therefore, to investigate the role of guidance and counseling in addressing prevalence and commonly abused drugs. The study was guided by the following objectives: to find out prevalence rates of drug abuse and commonly abused drugs among university students and to investigate the role of guidance and counseling in addressing drugs and substance abuse. The theories guiding the study were Social Cognitive Theory by Bandura (1961). Quantitative data was collected through a structured questionnaire while qualitative data was collected through interviews. The population of the study consisted of 6073 students at University of Kabianga. The sample was identified using random sampling techniques. The sample used in the study was 176 and a pilot study of 20 participants was carried in Kisii UniversityKericho Campus who were not included in the sample to test the reliability of the instruments. Content validity was ensured through intensive review of literature and comparison made with prior validated studies and through research peers and psychology experts. The data obtained was analyzed by use of descriptive using frequencies, means and standard deviations and inferential statistics using Pearson Correlation Coefficient. Guidance and counseling was guidance and counseling was shown not to have played a significant role in frequency of abusing drugs (r=-0.004, p=0.481 p>0.05, in addressing commonly abused drugs (r=0.034, p=0.327, p>0.05) and in addressing availability of drugs (r=-0.061, p=0.212 p.0.05). However, the relationship between the frequency of drug abuse and the commonly abused drug was significant (-0.426**, p=0.000 p<0.05). In conclusion, it was found that the majority of students abused drugs because of their availability, access and peer influence. The study recommends that guidance and counseling services should be strengthened which includes interaction forums between students and the counseling officers.It also recommends that counseling workshops, symposia, and conferences should be organized regularly for students on the prevalence and effects of drugs and substance abuse.
Mechanistic Studies of Cytochrome P450 3A4 Time Dependent Inhibition Using Two Cysteine- Targeting Electrophiles.

Experiments designed to identify the mechanism of cytochromes P450 inactivation are critical to the drug discovery. Small molecules irreversible inhibit P450 enzymatic activity via two primary mechanisms: apoprotein adduct formation or heme modification. Understanding the interplay between chemical structures of reactive electrophiles and the impact on CYP3A4 structure and function can ultimately provide insights into drug design to minimize P450 inactivation. In a previous study, raloxifene and N-(1-pyrene) iodoacetamide (PIA) alkylated cytochrome P450 3A4 (CYP3A4) in vitro, however only raloxifene influenced enzyme activity. Here, two alkylating agents with cysteine selectivity, PIA and pyrene maleimide (PM), were utilized to investigate protein alkylation and CYP3A4 activity. The compound's effect on 1) enzymatic activity, 2) carbon monoxide (CO) binding capacity, 3) intact heme content, and 4) protein conformation were measured. Results showed that PM had a large time-dependent loss of enzyme activity, whereas PIA did not. The differential effect on enzymatic activity between PM and PIA was mirrored in the CO binding data. Despite disruption of CO binding, neither compound affected the heme concentrations inferring there was no destruction or alkylation of the heme. Lastly, differential scanning fluorescence showed PM-treated CYP3A4 caused a shift in the onset temperature required to induce protein aggregation which was not observed for CYP3A4 treated with PIA. In conclusion, alkylation of CYP3A4 apoprotein can have a variable impact on catalytic activity, CO binding, and protein conformation that may be compound-dependent. These results highlight the need for careful interpretation of experimental results aimed at characterizing the nature of P450 enzyme inactivation with UV spectroscopy. SIGNIFICANCE STATEMENT: Understanding the mechanism of CYP3A4 time dependent inhibition is critical to the drug discovery. In this study, we use two cysteine-targeting electrophiles to probe how subtle variation in inhibitor structure may impact the mechanism of CYP3A4 time dependent inhibition and confound interpretation of traditional MBI diagnostic experiments. Ultimately, this simplified system was used to reveal insights into CYP3A4 biochemical behavior. The insights may have implications that aid in understanding the susceptibility of CYP enzymes to the effects of electrophilic intermediates generated via bioactivation.
Competing Campuses: An Equilibrium Model of the U.S. Higher Education Market

Universities compete through price and non-price characteristics, including the number and type of undergraduate majors offered. Undergraduate majors are a key source of differentiation in U.S. higher education, and survey evidence suggests that students consider a university’s offered majors when they make their college choice. To understand how majors offered, prices and selectivity are jointly determined in equilibrium, I answer three specific questions. First, to what extent do majors offered affect applications and enrollment? Second, what are the preferences and costs that determine a university’s choice of price, selectivity, and majors offered? Finally, what are the equilibrium effects of subsidies in the form of increased financial aid or subsidies awarded to universities to support Engineering, Math, and Science programs? I use state-level data from ACT and College Board and information on university characteristics to estimate a model that features four stages: first, universities choose price, admission criteria and majors; second, students choose an application portfolio; third, universities make offers of admission; and finally, students make enrollment decisions. The estimates show that students are willing to pay over $100 per year for each major, with heterogeneity by type of major. Universities place substantial weight on selectivity, and the cost of supplying different majors varies by type. Financial aid awarded to students to attend public universities in a state results in increased price and selectivity stratification in the public sector, higher prices and increased selectivity in segments of the private sector, and adjustments to majors offered to manage costs. A $10 per student subsidy to public universities for each Engineering, Math, and Science major offered would increase the median number of majors in that category at public universities from 8 to 12, while also generating increased stratification by price and admissions selectivity in the public sector, and higher prices and admissions selectivity in segments of the private sector. JEL Codes: I23, I28, L13, L31
Comparison of Accuracy between Long Short-Term Memory-Deep Learning and Multinomial Logistic Regression-Machine Learning in Sentiment Analysis on Twitter

The paper is about sentiment analysis research on Twitter. In this research data with the keyword, ‘Russian Hacking’ concerning the 2016 US presidential election on Twitter was taken as a dataset using Twitter API with Python pro-gramming language. The first process in sentiment analysis is the cleaning phase of tweet data, then using the Lexicon-based method to produce positive, negative, and neutral sentiment values for each tweet. Data that has been cleaned and classified will be processed in the Deep learning method with Long Short-Term Memory (LSTM) algorithm and Machine learning method with Multinomial Logistic Regression (MLR) algorithm. The accuracy of these two classification methods are calculated using the confusion-matrix method. The accuracy obtained from the LSTM classification method is 93 % and the MLR classification method is 92 %. Thus, it can be concluded that LSTM is better in classifying sentiments compared to MLR.
A Non-Parametric Method of Assessing the Yield Stability Using Principal Coordinate Analysis

The Westcott (1986) method of stability analysis based on principal co-ordinate analysis is a simply non parametric method.The method depends ultimately on the choice of a suitable measure of similarity between genotypes.In the present study, there are 19 bread wheat genotypes for yield per plot under six environments are taken and as a result, there are two genotypes namely K7903 and Sonalika came out as stable genotypes. Further HUW100 and H1784 are stable for low yielding environments and HD2233, HD2214, HD2285 and CPAN1798 are stable for high yielding environments. Most of the stability information appears in a sequence of plots, where genotypes are immediately highlighted as consistently more remote points. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 22-03-2018 Date of acceptance: 07-04-2018 -------------------------------------------------------------------------------------------------------------------------------------
Adequacy of Facilitating Conditions for Using New Media in Scholarly Communication by Lecturers in Public Universities in Kenya

Scholarly communication and the whole academic publishing cycle is grappling with disruption as new media technology is increasingly playing a major role in how research is created and disseminated. Unfortunately, Kenya remains marginalized in the global knowledge arena because of low scholarly publishing activity deriving from a low research output, overdependence on the West and unavailability of facilitating conditions and infrastructure to support the use of new media in scholarly communication. The aim of this study was to examine the influence of facilitating conditions on the use of new media in scholarly communication by university academic staff in Kenya. The study used the unified theory of acceptance and use of technology (UTAUT). This was a quantitative survey research. The target population for the survey was drawn from lecturers from five selected universities which included University of Nairobi, Kenyatta University, Moi University, JomoKenyatta University of Agriculture and Technology(JKUAT) and Egerton University. A questionnaire was distributed to the lecturers in the five universities. Findings of the study were analysed using Statistical Programmes for Social Sciences Version 22. When scores of level of influence of facilitating conditions were compared with those of use of new media in scholarly communication to ascertain whether there was any significant relationship between the two variables, findings show that there was no significant relationship (p>0.005). A logistic regression model confirmed this finding. This indicates facilitating conditions were not a key determinant of use of new media in scholarly communication by lecturers in public universities in Kenya.
Introduction Foreign direct investment in eastern and southern European countries: still an engine of growth?

Foreign direct investment (FDI) has been driving economic growth in many countries of eastern and southern Europe. Eastern enlargement of the European Union was accompanied by an expansion of industrial capacities on the part of multinational corporations in the new member states, particularly in the ‘Visegrád Four’ countries (Czechia, Hungary, Slovakia and Poland). Capital inflows in banking and finance contributed to unsustainable growth patterns in some parts of the region, in particular in the Baltic states and southern Europe. These bubbles eventually burst in the economic crisis that hit in 2008. On aggregate, cross-border investments fell even more than domestic investment in 2009–2010. At the same time, however, foreign investors played a stabilising role in many sectors and central and eastern European exports, due mainly to foreign affiliates, bounced back. At the same time, the lack of competitive export potential had been exposed as one of the core problems in the economic structure of some southern European countries particularly hard hit by the crisis (Greece and Portugal).
Enhance Antioxidant Property of Silver Nanoparticle Decorated Graphene Oxide Nanocomposite

Report discussed the preparation of graphene oxide-silver (GO-AgNPs) nano-composite by eco-friendly approach and their antioxidant properties. AgNPs were prepared by clove extract assisted reduction method and deposited on GO solution mixing. Characterization by UV-Visible, Fourier Transform Infrared (FTIR) spectroscopy, Xray diffraction (XRD) and field emission microscope (FE-SEM) suggests anchoring of AgNPs on GO sheet. Further, the antioxidant activities of AgNPs, GO and GO-AgNPs were evaluated using DPPH assay by comparing with ascorbic acid as standard. GOAgNPs shows higher antioxidant properties compared to GO and AgNPs which is attributed to the synergistic effect of Ag and GO in nano-composites.
REVIEW OF VARIOUS AUDITING TECHNIQUES FOR PRIVACY PRESERVING IN PUBLIC CLOUD

- Cloud computing is a fast growing and widely used technique. It serves computing resources to cloud user on “Pay and Use” basis. Due to high availability of computing resource, attract cloud user to utilize its services. A cloud user stores their various private data and files over cloud server. A Cloud user can upload their data on cloud and can access those data anytime anywhere without any additional burden. The User doesn’t have to worry about storage and maintenance of cloud data. But as data is stored at the remote place how users will get the confirmation about stored data. Hence Cloud data storage should have some mechanism which will specify storage correctness and integrity of data stored on a cloud. The major problem of cloud data storage is data security.TPA maintains the availability and integrity of user data over cloud server. Many researchers have proposed their work or new algorithms to achieve security or to resolve this security problem. In this review paper we are presenting analysis and study of various privacy preserving methods for cloud computing.
Rock-mass propagation simulated by continuum and discrete approaches: benefits and drawbacks

The work deals with the simulation of a laboratory experiment (Manzella & Labiouse, 2009). This reduced size experiment, which is analogous to a rock-mass propagation, consists in releasing randomly packed bricks on an inclined plane, that end up stopping on a horizontal plane. The transition between these two planes is smooth as shown in Figure 1. Numerical simulations are based on two radically different approaches: Discrete Element Method (DEM) and Material Point Method (MPM); see Cundall & Strack (1979) and Sulsky et al. (1995), respectively.
Identifying an effective teacher in public schools in Delhi

We quantify the influence of teacher assignment on student test scores at the high-stakes grade twelve examination in state-run schools in Delhi, India. We find that being assigned to a one standard deviation better than average teacher moves a student at the middle of the achievement distribution to the 72 percentile. The impact size is much higher than documented in existing literature, indicating that teachers play a much bigger role in the context we study. Consistent with earlier studies, standard observable characteristics such educational qualifications are unable to predict an effective teacher. For the first time we examine whether personality traits matter, and find that ‘Openness’, as opposed to being closed to experiences, positively correlates with a high quality teacher. * Deepti Goel (deepti@econdse.org) is an Assistant Professor at the Delhi School of Economics, and Bidisha Barooah (bbarooah@3ieimpact.org) is an Evaluation specialist at 3ie: International Initiative for Impact Evaluation. The authors are grateful to IGC for financial support for this study.
Remote camera based heart rate estimation

Experimental setup for remote Photopethysmographic measurement was built and Pulse Volume Vector based signal evaluation method was implemented to measure pulse and blood oxygenation. As opposed to the typically used RGB or three monochromatic camera, an RGB-NIR camera was applied in our setup to obtain space and time registered data from the visual and NIR regions. The setup was calibrated; the pulse and blood oxygenation curves were compared to reference signals. The real-time implementation of a state of the art method was also carried out and tested on premature infants.
Land Ownership and Development: Evidence from Postwar Japan

This paper analyzes the effect of land ownership on technology adoption and structural transformation using Japanese land reform as a natural experiment. The reform redistributed a large area of farmlands from landlords to tenants, or cultivators of these farmlands, who became land owners during the reform. The redistribution policy increased the adoption of new laborsaving technologies in agriculture which became available after the reform, and that, because of the technology adoption, it enabled the out-migration of young population from rural to urban areas when the urban sectors were growing. I also analyze the aggregate impact of labor reallocation on economic growth by using a simple growth model and micro data. I find that it increased GDP by about 12 percent of the GDP in 1974 during 1955-74. I also find a large and positive effect on agricultural productivity.
Cingulotomy for psychiatric disease: microelectrode guidance, a callosal reference system for documenting lesion location, and clinical results.

OBJECTIVE To evaluate magnetic resonance imaging (MRI)- and microelectrode recording-guided cingulotomy for patients with psychiatric disorders and to develop a new method of mapping lesion location in anterior cingulate cortex that takes into account the significant interindividual variability in callosal morphometry. METHODS MRI and microelectrode recording were used to guide placement of radiofrequency lesions in patients with obsessive-compulsive disorder (n = 21) or affective disorders (n = 5). Postoperative improvement was evaluated with the Yale-Brown Obsessive-Compulsive Scale in 15 of the 21 obsessive-compulsive disorder patients studied. From the postoperative MRI scans, we developed a coordinate system for position in the anterior cingulate cortex. The callosal line passes from the most anterior point of the corpus callosum (c = 0) to the most posterior (c = 100). We reconstructed the lesions onto a sagittal map from the Talairach and Tournoux atlas using the distance along the callosal line and the distance above the upper surface of the corpus callosum. RESULTS The location of neuronal activity distinguished gray and white matter and was useful in delineating the upper and lower cortical banks of the cingulate gyrus, the cingulate bundle, and the corpus callosum. This information was used to place the lesions. Lesions typically were 6 to 8 mm in diameter on T2-weighted MRI scans. The inferior margins were along the corpus callosum from c = 16 to c = 38. Four of 15 patients with obsessive-compulsive disorder had a documented decrease of more than 35% on the Yale-Brown Obsessive-Compulsive Scale, but only one patient had a sustained benefit for more than 1 year. CONCLUSION Microelectrode recording is useful for lesion placement. Our system for reporting location in anterior cingulate cortex normalizes for differences in callosal morphometry. These techniques may aid future study.
Entity-Centric Multimodal Aspect-Opinion Mining in Social Media

—This article describes the approach we take to the analysis of social networks, combining the extraction of textual and multimedia opinions (images) and focusing on the recognition of entities and events. We examined a particular use case, which is to help archivists select material to be included in a social media file to preserve community memories, moving towards a structured preservation around semantic categories. The textual approach we consider is a rule-based approach wherein we consider a series of subcomponents, taking into account the problems that are there and inherent in the social media colony such as noisy grammar or misspelled words, oath or other form of speech including sarcasm
Cyber-Physical System Security Automation through Blockchain Remediation and Execution (SABRE)

—There are considerable challenges that surround the security of cyber-physical systems. These challenges are compounded by the often heterogeneous nature of different IT and internet of things (IoT) systems that can be found in them. Some of the most onerous tasks around securing a cyber-physical system stem from operational security issues, like patch and update management. Many operational security tasks can be repetitive and prone to error. Managing the security of these systems requires a new approach, one designed to help reduce repetition and tackle common operational security tasks. The Security Automation through Blockchain Remediation and Execution (SABRE) agent was designed speciﬁcally to deal with these types of challenges. The SABRE agent aims to reduce complexity and increase the security within a ﬂeet of devices in a cyber-physical system. The solution was built on top of the Etheruem network and designed to operate on large scale cyber-physical systems.