Miracle-dz/UniFAR-FTUs huggingface dataset:
Extending Web Analytics with Prediction Models to Detect Anomalies in Distributed Web Applications

This aim of this thesis was to develop an automated anomaly detection system for typical web analytics data which could accurately and efficiently detect anomalies, report them through alerts within the time constraints and be easily incorporated into typical web analytics software. Statistical techniques detect anomalies by relying on their standard deviation distance from the mean to trigger preconfigured anomaly detection thresholds specific to different types of data distributions. However, using these proves lacking in situations where data values are anomalous with respect to their position in the time series, but do not have large enough standard deviation distances from the mean of the whole time series. Another approach of anomaly detection is to train prediction algorithms with historical data to make a forecast, and identify an anomaly when it exceeds acceptable Mean Absolute Percentage Error levels when compared with the forecast. In comparison to statistical anomaly detection methods, prediction algorithms can be more resource expensive due to more complex computations. This thesis proposes a solution which combines both approaches to overcome their respective drawbacks. The resulting automated anomaly detection system showed 100% accuracy in anomaly identification when tested against nine sample datasets collected from a web page which was tracked for over eight months. Thereafter, upon examining the impact of the length of training data on the forecasts made by the prediction algorithm, it was determined that the highest prediction accuracy was obtained when the shortest training data of two weeks was used. When the impact of anomalies in the training data upon the prediction accuracy were examined, results showed improvement in accuracy only during some tests and hence, proved inconclusive in determining any correlation.
Professionalization of Teaching in Universities: A Compelling Case

Abstract Discourse in university often revolves around that teaching is common sense business and that anyone can teach. University lecturers as experts in their disciplines often feel they are able to teach and it is up to students to learn. It is against such discourse that calls for the professionalisation of teaching in universities continued to grow. This view is against the argument that despite being discipline specialists, academic staff need special training in teaching and learning to be effective teachers. In this paper the researchers interrogate the issue of professionalisation of teaching in universities. The meaning of professionalization of teaching and what it really entails are examined. The researchers discuss reasons why it is necessary for teaching to be professionalised in universities by centering on the main responsibilities of a university teacher which are curriculum organisation, teaching, assessment and dealing with of adult learners. The researchers further propose a model that could be utilised in the professionalization of teaching by way of deliberate teacher training programmes, short courses as well as research and publication in teaching and learning issues. Such approaches allow the imparting to university academic staff members knowledge, skills and values that ensure better facilitation of learning.
Does a health program reduce excess female child mortality in a son-preferring society?

Gender preference, particularly a preference for sons, is quite strong in Bangladesh. This study investigated the levels and trends of the effects of this preference on mortality of 1-4 year-old children and examined whether an MCH-FP program could bring about any change in the effects in rural Bangladesh. Data for this study came from the Demographic Surveillance System, Matlab, where an MCH-FP project was started in a 100,000 population in 1977-78, with another 100,000 population retained as the comparison area, in which the government services were available as a part of the national program. Male to female mortality ratio of 1-4 year-old children was used as the main dependent variable in this study. The Matlab MCH-FP program was found to be successful in increasing contraceptive use and decreasing fertility and infant and child mortality. Fertility started to decline in mid '70s and infant and child mortality in the '80s in both areas. Sex-ratio of child mortality started to improve first in the MCH-FP area and then in the comparison area and rose from 0.6 in the '70s to 0.70 in the '90s, when the ratio in both areas was almost equal. The MCH-FP program was probably helpful, as were societal changes in the society took place in 218 N. ALAM, R. BAIRAGI favor of a reduction in excess female child mortality. Yet, 35 percent of deaths of female children of 1-4 years in the '90s were due to discrimination against female children in the Matlab area.
DNA aptamer-based detection of prostate cancer

The use of aptamers in biosensing has attracted considerable attention as an alternative to antibodies because of their unique properties such as long-term stability, cost-effectiveness and adjustability to various applications. Among cancers, the early diagnosis of prostate cancer (PCa) is one of the greatest concerns for ageing men worldwide. One of the most commonly used biomarkers for PCa is prostate-specific antigen (PSA), which can be found in elevated levels in patients with cancer. This review presents the gradual transition of research from antibody-based to aptamer-based biosensors, specifically for PSA. A brief description on aptamer-based biosensing for other PCa biomarkers is also presented. Special attention is given to electrochemical methods as analytical techniques for the development of simple, sensitive and cost-effective biosensors. The review also focuses on the different surface chemistries exploited for fabrication and their applications in clinical samples. The use of aptamers represents a promising tool for the development of point-of-care biosensors for the early detection of prostate cancer. In view of the unmatched upper hand of aptamers, future prospects are also discussed, not only in the point-of-care format but also in other novel applications.
On the Feasibility of Intense Radial Velocity Surveys for Earth-Twin Discoveries

This work assesses the potential capability of the next generation of high-precision Radial Velocity (RV) instruments for Earth-twin exoplanet detection. From the perspective of the importance of data sampling, the Terra Hunting Experiment aims to do this through an intense series of nightly RV observations over a long baseline on a carefully selected target list, via the brand-new instrument HARPS3. This paper describes an end-to-end simulation of generating and processing such data to help us better understand the impact of uncharacterised stellar noise in the recovery of Earth-mass planets with orbital periods of the order of many months. We consider full Keplerian systems, realistic simulated stellar noise, instrument white noise, and location-specific weather patterns for our observation schedules. We use Bayesian statistics to assess various planetary models fitted to the synthetic data, and compare the successful planet recovery of the Terra Hunting Experiment schedule with a typical reference survey. We find that the Terra Hunting Experiment can detect Earth-twins in the habitable zones of solar-type stars, in single and multi-planet systems, and in the presence of stellar signals. Also that it out-performs a typical reference survey on accuracy of recovered parameters, and that it performs comparably to an uninterrupted space-based schedule.
A GENERAL REVIEW ON DRUG-FOOD INTERACTIONS, COUNSELES OF PHARMACIST DR. KLODIOLA DHAMO*

Interaction between foods and drugs can have profound influence on the success of drug treatment and on the side effect profiles of many drugs. A drug interaction is defined as any alteration, pharmacokinetics and/or pharmacodynamics, produced by different substances, other drug treatments, dietary factors and habits such as drinking and smoking. These interactions can affect drugs, altering their therapeutic efficacy and causing toxic effects. The aim of this study was to conduct a review of available data about interactions between different therapeutic agents and food. After excluding different articles, the main results refer to interactions between drugs and food. Advising patients to remove some members of daily food from their diet when treatment with these drugs seems to be the best recommendation. Given these interactions and the associated potential adverse effects the anamnesis must include detailed information about the specific eating habits of the patients. Pharmacists in every practice setting need to be vigilant in monitoring for potential drug-food interactions and advising patients regarding foods or beverages to avoid when taking certain medications. It is imperative for pharmacists to keep up-to-date on potential drug-food interactions of medications, so that they may counsel properly to the patients.
Study on Image Noise Reduction Algorithm at Improved NL Means Based on Color Information

For the random noise of digital image processing is embedded in the old films, to study the improved Non Means algorithm in Local. Through the whole area of the surrounding pixels of gray distribution in contrast to the overall, according to the gray level distribution similarity obtained decision weights, to study and calculate the corresponding each pixel set color Information adaptive parameters, and then calculate the similarity, screened based on the template. In order to achieve the goal of eliminating the noise by modifying the value of the target pixel region, and using the weighted average value instead of the target pixel region value. Finally, the feasibility and the scientific nature of the noise reduction performance are simulated by referring to the image noise elimination precision and image quality parameters.
EFFECTS OF BOILING PARAMETERS ON THE LEVELS OF NITRATE, NITRITE AND COLOR VALUES OF WILD RADISH (Raphanus raphanistrum)

Wild radish (Raphanus raphanistrum) is commonly consumed as a salad or an ingredient in some recipes. The increasing levels of nitrate and nitrite concentrations are becoming an important problem for public health. Wild radish is known to have significant portion of nitrate. It is generally consumed after boiling. For these reasons it is important to determine nitrate and nitrite contents of fresh and boiled wild radish samples. In this study, the effects of boiling on the levels of nitrate, nitrite and color values of 10 wild radish samples purchased from open markets in Izmir, were reported. All of the fresh samples contained higher amounts of nitrate than nitrite. Nitrate concentrations in samples which were boiled with less amount of water decreased after 7.5 minutes boiling but increased after 15 minutes boiling. Nitrate concentration in samples, which were boiled with much water, decreased by boiling time. Statistically significant correlations were obtained between nitrate, nitrite contents and L*, a*, b* values.
Charge storage in undoped hydrogenated amorphous silicon by ambient atomic force microscopy

Hydrogenated amorphous silicon (a-Si:H) layers are prepared by plasma-enhanced chemical vapor deposition on metallized glass substrates. Ambient atomic force microscopy (AFM) is employed for both modification and characterization of a-Si:H films. Voltage pulses of up to 35 V are applied as a cantilever scans the amorphous silicon surface in contact mode AFM. Subsequent detection by Kelvin probe microscopy reveals a persistent negative charge stored in the a-Si:H layers. The stored charge is always negative independent of voltage polarity and results in an upward shift of the Fermi level by as much as 0.1 eV. Only at higher negative voltages (<−15 V) a positively charged oxide layer grows on the surface due to anodic oxidation. A model of the observed phenomena is proposed considering charge transport across a biased contact junction, metastable trapping in band-gap states of a-Si:H, as well as the influence of silicon oxide.
The Moderating Effect of Socio-Demographic Characteristics on Subjective Wellbeing

The independent association between socio-demographic characteristics and subjective well-being is well studied, however, the moderating impact of those characteristics are yet to be established in literature. This study examines the moderating influence of socio-demographic characteristics on subjective well-being among residents in Ibadan metropolis. Using a descriptive survey design and a multistage sampling technique, 10 enumeration areas each were selected from the five major Local Government Areas (LGAs) with simple random technique. The number of participants on the selected enumeration areas were determined with enumeration area maps. Two hundred and twenty participants each were selected from each LGA, using a systematic technique, making a total of 1,100 participants. A questionnaire focusing on socio-demographic profile and life satisfaction scale (r=0.74) was administered to the participants. Data were analyzed using descriptive statistics, co-relational analysis, moderated hierarchical multiple regression and analysis of variance at 0.05 level of significance. Two hypotheses were tested. The result reveals that socio-demographic factors jointly predicted life satisfaction (F (1, 1007) =4.61, p<. 001). Age and marital status also interacted to predict life satisfaction (β=-0.13, t=-3.58, p<.01; β = -0.08, t=1.98, p<.05). The interaction effect of social demographic factors should be considered in a comprehensive examination of subjective wellbeing.
Think About Tomorrow Morning: Opening Stock Returns May Show Reversals

In present study, I explore the dynamics of the interday stock price reversals. Employing intraday price data on thirty stocks currently making up the Dow Jones Industrial Index, I document that stock returns in opening trading sessions tend to be higher following days with relatively low (either negative, or lower than the same day's average and median for the total sample of stocks) open-to-close returns. This kind of price behavior seems to contradict stock market efficiency. Based on this finding, I construct three portfolios based on the opening trading sessions and involving a long position in the stocks on the days when their opening returns are expected to be high and a short position in the stocks on the days when their opening returns are expected to be low. All the portfolios are found to yield significantly positive returns, providing an evidence for the practical applicability of the "overnight reversals" pattern in stock prices.
Effect of Computer-Assisted Speech Training on Speech Recognition and Subjective Benefits for Hearing Aid Users with Severe to Profound Prelingual Hearing Loss

Objective: Computer-assisted speech training is a speech recognition training system developed for cochlear implant users. With minimal facilities and skills, cochlear implant users can conduct this training at home. The purpose of this study was to apply this system to adolescent and young adult hearing aid users with prelingual severe to profound hearing loss. Study sample: Fifteen Mandarin-speaking hearing aid users with prelingual severe to profound hearing loss were included into this study. Another 6 hearing aid users with a similar background were recruited as the control group. Results: The training group had significant improvements in monosyllabic word recognition after 8 weeks of training, however the improvement diminished after 12 weeks of training. The training group also had significant improvements in consonant recognition after training for 12 weeks. There were no differences in improvement and final scores on the client-oriented scale of improvement between the training and control groups. Conclusion: With moderate training, the computer-assisted speech training system showed some benefits in training hearing aid users with prelingual severe to profound hearing loss, especially in the recognition of monosyllabic words and consonants.
Title : Exploring Resiliency in Parents and Families of Adult Children : Living at Home with a Dual Diagnosis

Professional Development: The International Journal of Continuing Social Work Education is a refereed journal concerned with publishing scholarly and relevant articles on continuing education, professional development, and training in the field of social welfare. The aims of the journal are to advance the science of professional development and continuing social work education, to foster understanding among educators, practitioners, and researchers, and to promote discussion that represents a broad spectrum of interests in the field. The opinions expressed in this journal are solely those of the contributors and do not necessarily reflect the policy positions of The University of Texas at Austin’s School of Social Work or its Center for Social and Behavioral Research. Professional Development: The International Journal of Continuing Social Work Education is published two times a year (Spring and Winter) by the Center for Social and Behavioral Research at 1923 San Jacinto, D3500 Austin, TX 78712. Our website at www.profdevjournal. org contains additional information regarding submission of publications and subscriptions. Copyright © by The University of Texas at Austin’s School of Social Work’s Center for Social and Behavioral Research. All rights reserved. Printed in the U.S.A.
The link between morphology and structure of brightest cluster galaxies: automatic identification of cDs

We study a large sample of 625 low-redshift brightest cluster galaxies (BCGs) and link their morphologies to their structural properties. We derive visual morphologies and find that ∼57 per cent of the BCGs are cD galaxies, ∼13 per cent are ellipticals, and ∼21 per cent belong to the intermediate classes mostly between E and cD. There is a continuous distribution in the properties of the BCG's envelopes, ranging from undetected (E class) to clearly detected (cD class), with intermediate classes (E/cD and cD/E) showing the increasing degrees of the envelope presence. A minority (∼7 per cent) of BCGs have disc morphologies, with spirals and S0s in similar proportions, and the rest (∼2 per cent) are mergers. After carefully fitting the galaxies light distributions by using one-component (Sersic) and two-component (Sersic+Exponential) models, we find a clear link between the BCGs morphologies and their structures and conclude that a combination of the best-fitting parameters derived from the fits can be used to separate cD galaxies from non-cD BCGs. In particular, cDs and non-cDs show very different distributions in the Re–RFF plane, where Re is the effective radius and RFF (the residual flux fraction) measures the proportion of the galaxy flux present in the residual images after subtracting the models. In general, cDs have larger Re and RFF values than ellipticals. Therefore we find, in a statistically robust way, a boundary separating cD and non-cD BCGs in this parameter space. BCGs with cD morphology can be selected with reasonably high completeness (∼75 per cent) and low contamination (∼20 per cent). This automatic and objective technique can be applied to any current or future BCG sample with good-quality images.
Exhaustion of nitrate terminates a phytoplankton bloom in Funka Bay, Japan: change in SiO4:NO3 consumption rate during the bloom

Time series observations over 36 h were carried out in Funka Bay, Japan, to complement a 6 yr nutrient-dynamics study during a diatom spring bloom, especially focusing on nitrate and silicate as limiting nutrients. At the beginning of the study, nutrient concentrations were high (NO 3 = 10 μM, SiO 4 = 20 μM and PO 4 = 0.8 μM). Nitrate was depleted first during the night while silicate and phosphate remained at 10 and 0.3 μM, respectively. High nitrate reductase activity was observed the following morning, indicating the assimilation of nitrate in situ by the dominant phytoplankter, Chaetoceros socialis. The consumption ratio of SiO 4 :NO 3 increased by 3 times from 0.83 before the peak to 2.5 after the peak of the bloom. This change was also obvious in the elemental composition of phytoplankton, showing an increase in Si:C and Si:N ratios by a factor of 2 to 4 after the peak of the bloom, while C:N ratio remained constant at around 7. As a consequence of this change in the consumption rate of SiO 4 and NO 3 , both silicate and nitrate were finally depleted in the photic zone.
The Effect of Tax Communication on Taxpayers Attitude

The literature on taxpayers attitude show that taxpayers influence each other and change their tax paying attitude. However, little is known about the content and the processes providing this change. To address this knowledge gap, we employed an in-depth analysis of focus groups discussions about tax among a professionnals from construction industry. We report an empirical analysis of discussions of four groups showing 276 distinct discussions between 6 directors, 6 company owners and 22 employees to see the possible reasons in their attitude towards taxpaying, providing a four categories of persuasion. First the participants Exchange information about rules and procedures, second they focus on compliance and want others to comply, third they try to influence each other to be good citizen and persuade to comply and finally the discussions lead to warnings and threats. Overall, this study sheds light to the effect and use of social norms, tax compliance, tax communication in social networks, and persuasive messaging in tax compliance campaigns.
LETTZR.NANS KNOWLEDGE AS A PRREQUISITE TO LEARNING TO READ

In a partial replication of Samuels' (1972) experiments, 60 first grade pupils were assigned to a letter name group, a letter discrimination group, or a control group to investigate the effect of letter name knowledge on learning to read words. Artificial letters formulated by Gibson, et al. (1962) were used instead of those of Samuels, and different results were obtained. A two-way analysis of variance, followed by Tukey comparisons, revealed that the letter name group completed the transfer task (Learning words) in significantly fewer trials than either the control or letter discrimination groups, which did not differ. Sex differences and interactions were not significant. (Author)
Pathotype characterization of Xanthomonas oryzae pv oryzae isolates of West Bengal and evaluation of resistance genes of bacterial blight of rice (Oryza sativa L.).

Bacterial blight is the second most important disea se of rice. Hence characterization of the pathotype that causes bacterial blight and identification of resistance genes were a ttempted as a preliminary step towards identifying s ome resistant sources. In order to do that, six isolates collecte d from different parts of West Bengal were screened against near isogenic lines to identify variability in virulence. All the NILs were found to possess varying degree of suscept ibility to resistance against all the isolates with significant difference s in disease progress. The pyramided lines showed br oad spectra of resistance against all the Xoo isolates and most du rable resistant monogenes were xa5, xa13 and Xa21.