Miracle-dz/UniFAR-FTUs huggingface dataset:
Sounds for Enhancing Energy Efficient Driving: A Simulator Pre-Study

Computer game technology was used for rapid prototyping of a sound based interface encouraging truck drivers to drive energy efficiently. The design process was inspired by user-centred agile methods. Interior sounds were made interactive by actively controlling them based on speed, engine speed, torque and acceleration. User feedback was collected at an early stage through contextual enquiry sessions during simulated driving. Based on the feedback the sounds were adjusted and effects on driver behaviour were measured in a simulator experiment. The effects on driver behaviour were small and not statistically significant (p>.05). However, assessments of preference and informativeness showed statistically significant differences between the design concepts (p<.05). The qualitative part of the study showed that the use of game technology for enabling assessment of interactive sounds in early design phases was useful and allowed for getting users into the loop early on. The framework was found to be suitable for designing interactive sounds, and the data collected provides insight into driver responses to using active noise control as a means for providing information to the driver.
Relationship between ISO 9001 Certification and the Number of NonConformities Identified during System Audits in Selected Public Universities in Kenya

The quest for International Standard Organization (ISO) 9001 certification as an international quality tool has been embraced for process improvement and positive perception by customers. With ISO 9001 certification, an institution is anticipated to offer exemplary goods or services that meet client prerequisites, needs and expectations thus enhance organizational performance. As evident in previous studies, despite ISO 9001 certification, cases on wastages, missing student marks and time wastage were indicators of non-conformance. There was no clear evidence of past studies on the relationship between ISO 9001 certification and organizational performance with special interest on number of non-conformities identified during systems audit being a component of organizational performance. The purpose of the study was therefore to establish the relationship between ISO 9001 certification and the number of non-conformities identified during system audits in selected public Universities in Kenya. Explanatory research design was used in the study. The research targeted a population of 433 respondents from which a sample size of 205 respondents was selected using purposive and simple random sampling designs. A questionnaire was used to collect data. To answer the objectives of the study, simple linear regression analysis was performed. From the model, (R2 = .600) shows that ISO 9001 certification account for 60% variation in number of non-conformities identified during system audits. There was a positive significant relationship between ISO 9001 certification and number of non-conformities identified during system audits (β=0.611 and p <0.05). Therefore, a unit increase in ISO 9001 certification led to reduced number of non-conformities identified during system audits. The ISO 9001 certification had a significant influence on the number of non-conformities identified during system audits. For every adoption of the ISO 9001 certification in public universities the number of non-conformities identified during system audits reduced. The study concludes that ISO 9001 certification had a significant positive influence on the number of non-conformities identified during system audits. Thus, for every adoption of the ISO 9001 certification in public universities the number of non-conformities identified reduced. The study recommends that there is need for management of public universities through the department of quality management to address the non-conformities raised during system audits, need for university management to raise awareness on the importance of standardization and conformity assessment and to entrench the culture of quality in the Kenyan society by promoting practical usage of standards and development of quality related curricula in public universities.
Marcadores cardíacos na medicina veterinária

Cardiac markers have been used in order to assist clinical diagnosis of animals with heart disease, more accurately, enabling the establishment of earlier prognosis and therapy. However, in Brazilian veterinary medicine, these markers are generally still restricted to researches. This review aims to approach the major cardiac markers, which further may become essential indexes in heart assessment.
Concentration Screens for Horizontal Mergers∗ (First draft)

Concentration measures play a central role in merger analysis. The current Department of Justice and Federal Trade Commission Horizontal Merger Guidelines state various presumptions — both safe harbor presumptions and presumptions of anticompetitive effects — based on the level of the post-merger Herfindahl index and the change that the merger induces in that index (both naively computed, by adding the merging firms’ pre-merger shares together). While many other factors come into play in the agencies’ analyses, these concentration-based presumptions have a significant impact on agency decisions. Moreover, when the agencies challenge mergers in Court, these concentration measures are frequently emphasized by the agencies, and often factor significantly in courts’ decisions. Surprisingly, perhaps, the basis for these presumptions in both form and level is rather unclear.1 In this paper, we examine these presumptions, focusing on a merger’s likely unilateral effects.2 We make two points: First, we show that there is both a theoretical and an empirical basis for focusing solely on the change in the Herfindahl index, and ignoring its level, in screening mergers for whether they will harm consumers. Second, we argue, again both theoretically and empirically, that the levels at which the presumptions currently are set may well be too lax, especially in creating a safe harbor based on the post-merger Herfindahl index, at least unless one is crediting a significant presumption that entry, ∗We thank Nate Miller and Matt Weinberg for generously providing the data we use in Section 4, and for responding so helpfully to our many questions and requests. We also thank Carl Shapiro for sharing his knowledge of Merger Guideline history, and Federico Innocenti for his excellent RA work. †Department of Economics, University of Mannheim; email: volker.nocke@gmail.com ‡Department of Economics and Sloan School of Management, MIT; email: whinston@mit.edu 1See Schmalensee (1987, pp. 47-50) for one previous discussion of the Guidelines concentration thresholds. 2Miller and Weinberg (2017) provide evidence that horizontal mergers may also lead to coordinated effects, as noted in the agencies’ Guidelines.
Characteristic Egogram State of Younger Generation

Background: In the field of psychology and psychosomatic medicine, Transactional Analysis (TA) was and developed by Berne and Dusey. Consecutively, egogram analysis has been prevalent by 5 egos including Critical Parent (CP), Nurturing Parent (NP), Adult (A), Free Child (FC) and Adapted Child (AC). In Japan, Tokyo University Egogram (TEG) has been used, and authors have continued egogram research for long. Methods and Results: Subjects were 502 university students. They answered TEG questionnaire with the evaluation of the personality trait. Out of 29 personality pattern, 6 types were more than standard data. They are dependent, short-tempered, self-centered, conflict, solitude and pessimist types. During 10 years of our research, self-centered and solitude have been increasing, and good-hearted and playboy types have been decreasing. Discussion: From current data, several tendency would be speculated: Lower NP seems to be a characteristic for modern university students. It may be related with a noticeable decline in overall morality among younger generations in Japan. Furthermore, the prevalence of internet in the world may influence of the behavior of young people. Not actual experience but information on the internet can make them refrain from active human relations to others. These results would be expected to become useful reference data.
BREEDING DENSITY AND ALTITUDINAL DISTRIBUTION OF THE URAL, TAWNY, AND BOREAL OWLS IN NORTH DINARIC ALPS CENTRAL SLOVENIA

--Ural (Strix uralensis), Tawny (Strix aluco), and Boreal owl (Aegolius funereus) density and altitudinal distribution were determined using playback to census owls on Mt. Krim (North Dinaric Alps, central Slovenia). Survey points were selected proportionally by altitude according to the relief of the area (320-1060 masl). Density of Ural Owls was estimated to be 2.2 territories/10 km2; high relative to published data from Europe, while densities of Tawny (4.0 territories/10 km 2) and Boreal owls (2.8 territories/10 km •) were in the range or lower than other European data. The Tawny Owls were found at significantly lower altitudes (320-850 masl), while Boreal Owls were at higher altitudes (700-940 masl) than expected. I suggest hat Ural Owl territories were located in suboptimal habitat for Tawny Owls. The segregation of these owls by altitude in temperate-zone, continuous-montane forests is either a consequence of competitive exclusion or predation. The similarity in altitudinal distribution between Tawny and Boreal owls was low, suggesting that Tawny Owl territories are not suitable habitat for Boreal Owls. At high altitudes, harsh conditions prevent the Tawny Owl from competing with the Ural Owl; an advantage for the Boreal Owl, which was capable of surviving harsh conditions within Ural Owl territories. Further studies are needed to determine competitive exclusion or predation interactions among these owls.
Paediatric Day Case Surgical Practice at a Tertiary Hospital in Enugu, Nigeria

Background: An increasing number of paediatric day case surgeries are being carried out in developing countries due to the benefits of day case surgery and lots of papers are being published. However, there is no published paper on paediatric day case surgery from Enugu State University Teaching Hospital (ESUTH), Enugu. Methodology: This was a prospective study of children who had surgery on day case basis at the paediatric surgery unit of a tertiary hospital in Enugu, south east Nigeria, over a period of one year. Result: Out of the 135 surgeries done during the period of the study, 81 cases were day case surgeries, accounting for 60% of the cases. There were 69 males (85.2%) and 12 females (14.8%). The mean age and weight of the patients was 44.9 months and 16.5 kilograms respectively. The mean duration of surgery was 35.1 minutes while the mean duration of stay in the hospital post-surgery before going home was 5.2 hours. The most common diagnosis was hydrocele and herniotomy/herniorraphy was the most common surgical procedure performed. Conclusion: Paediatric day case surgery constitutes a significant workload of the paediatric surgeon. Herniotomy/herniorraphy was the most common procedure performed and most parents were satisfied. The scope of paediatric day case can be improved and the practice made more effective.
Scalable Learning for Identifying and Ranking Prevalent News Topics Using Social Media Factors

In this paper to achieve prioritization and information ranking, the temporal prevalence of a particular topic in the news media is a factor of importance and can be considered the media focus (MF) of a topic. The temporal prevalence of the topic in social media indicates its user attention (UA). And the interaction between the social media users who mention this topic indicates the strength of the community discussing it and can be regarded as the user interaction (UI) toward the topic. This project studies how networks in social media can help predict some human behaviors and individual preferences. In particular, given the behavior of some individuals in a network, how can infer the behavior of other individuals in the same social network is analyzed. This could help better understand behavioral patterns of users in social media for applications like social advertising and recommendation. To address the scalability issue, the project proposes an edge-centric clustering scheme to extract sparse social dimensions. With sparse social dimensions, the proposed approach can efficiently handle networks of millions of actors while demonstrating a comparable prediction performance to other non-scalable methods.
DOENÇA TRANSMITIDA POR ALIMENTOS CAUSADA POR MÚLTIPLOS AGENTES. Relato de caso http://dx.doi.org/10.15601/2238-1945/pcnb.v4n7p7-10

Micro-organismos causadores de Doenças Transmitidas por AlimentosDTArepresentam um grave problema de saúde pública, a enfermidade é causada pela ingestão de alimentos contendo patógenos e ou seus metabólitos tóxicos responsáveis pelo desenvolvimento de sinais e sintomas entéricos que acometem a população em geral. Em maio de 2012 a SRS de Montes claros (MG) relatou a ocorrência de um episódio de toxinfecção alimentar envolvendo o consumo de um bolo confeitado por 18 crianças de uma creche local. Duas horas após consumirem o alimento suspeito as crianças desenvolveram predominantemente diarréia e vômito. Os possíveis agentes envolvidos no surto foram indicados pela análise da ficha de inquérito e para o isolamento e a identificação dos mesmos por metodologia específica. As análises laboratoriais confirmaram a presença de E.coli (27.600 NMP/g), Bacillus cereus (2.0x10 6
Web Usage Mining for Comparing User Access Behaviour using Sequential Pattern

In the current era of technology, every organization using a dynamic process of communication that changing in very interactive manner which is fulfilled by their own website hosted by their own web servers or commercial web server. This website gathers information about user access at every time when user interacts for communication with some resources available to them. And this makes easiest way for website administrator to compare the information about the user’s navigational patterns explored from the web access logs and can also be useful to compare the user access behaviour about what will be the next page that should be provided to the user following the patterns. To achieve this purpose sequential pattern technique can be used. Sequential pattern technique discovers frequent sequence referred to as patterns in sequential database. In this study we are proposing the algorithm for finding the sequential pattern that could suggest and compare the generated patterns with the minimum support measure. Keywords— Web Usage Mining, Web access log file, Sequential patterns.
Statement of research

My research is in discrete probability theory with an emphasis on problems related to random walks, the theory of mixing times of Markov chains and the cutoff phenomenon. Markov chains are random processes that retain no memory of the past. This is an area on the interface of mathematics, statistical physics and theoretical computer science. Consequently, a discovery in this area can have impact in different disciplines. In my work I attempt to develop general theory and study large families of instances. A big part of my work is dedicated to particle systems, including some classical statistical mechanics models like the Exclusion process and the Zero Range process as well as models for a spread of infection and for a social network.
Massola An Adaptive Model Applied to Digital Geometry to Enhance Segment Straightness P

Currently, there are some traditional approaches for representing digital straight lines, digitized straight line segments and arcs in digital geometry, each with its advantages and suitable applications. However, taking into account the complexities of real-world scenarios involving spurious interferences, the use of these representations requires flexible models. Thus, this study investigates an alternative based on adaptive finite automaton through the device called adaptive digitized straight line segment. Consequently, the proposed method reveals to be simple, intuitive and capable of learning, besides being computationally powerful. Keywords— Adaptive Systems, Automata, Computational Geometry, Pattern Recognition, Error Correction.
The Role of Esophageal pH-metri Test on Gastro-Esophageal Reflux Disease Diagnosis

Gastro-esophageal reflux disease is a pathological condition of esophagus which is caused by gastric content reflux into esophagus. There is an increased prevalence of gastro-esophageal reflux disease. The roles of esophageal pH-metry in clinical application include looking for abnormal acid exposure on esophagus with no abnormality found in endoscopy; evaluating patients following the anti-reflux surgery who are being suspected for abnormal esophageal reflux; evaluating patients with normal endoscopic result but still having refractory reflux symptoms against proton pump inhibitor medication; detecting refractory reflux in patients chest pain following the heart evaluation; evaluating patients with otolaryngologic manifestations (laryngitis, pharyngitis, chronic cough) of the esophageal reflux disease after therapeutic failure of 4-weeks proton pump inhibitor treatment; and looking for correlation between adult onset gastro-esophageal reflux disease and non-allergic asthma. Keywords : gastro-esophageal reflux disease, esophagus pH-metry, symptoms-reflux correlation
Detection and Classification of Facial Expressions using Artificial Neural Network

Facial Expression gives important information about emotion of a person. Facial expressions are the most expressive way human being display emotions. This paper presents a technique based on multilayered artificial neural network for the detection and classification of frontal facial images. The process involves four stages pre-processing, face detection, features extraction and emotion detection. The emotion worked on is astonished, happy and neutral. The total average accuracy of classification is 86.1%.
Principles of microbiology

Make more knowledge even in less time every day. You may not always spend your time and money to go abroad and get the experience and knowledge by yourself. Reading is a good alternative to do in getting this desirable knowledge and experience. You may gain many things from experiencing directly, but of course it will spend much money. So here, by reading principles of microbiology, you can take more advantages with limited budget.
A Computational Method for Predicting Functional Effects of Cancer-Related Genetic Sequence Variants

Rapid advances in next generation sequencing (NGS) technologies provide many opportunities to identify associations between genetic sequence variants (GSV) and diseases, which may lead to better clinical diagnosis and treatments. OncoMiner is a bioinformatics pipeline developed at UTEP (OncoMiner.utep.edu) for mining NGS data. It can identify exonic sequence variants, link them with associated literatures, visualize genomic locations and compare their occurrence frequencies among different groups. However, the current version of OncoMiner is limited to accepting only a specific input file format provided by the Otogenetics NGS Lab Services. The main objectives of my current work are (1) to develop a Python script for preprocessing the more widely used variant calling format (VCF) NGS files and convert them to the OncoMiner input (OMI) format, and (2) to evaluate the performance of the script. Most of the required data fields in the OMI file can be extracted directly from the VCF file. The genomic region type, however, needs to be determined by comparison with a reference genome. Since I will be working on human cancer data, the reference genome used for this work is the human genome assembly hg38 obtained from UCSC Genome Browser. To improve efficiency, the script splits the VCF file and reference genome by chromosomes into smaller files for parallel processing. Our script has been tested on 148 VCF files, containing data from prostate cancer patients, downloaded from The Cancer Genome Atlas (TCGA). Parallelization of the script obtained average speedups of 1.50, 2.28, 3.14, 3.84, 4.00 using 2, 4, 8, 16, 24 cores respectively. To test the programs capability of handling big datasets, 35 larger files with sizes ranging from 193.8 MB to 3.7 GB are used. These files contain data from leukemia patients, cell lines, and normal individuals collected at local hospitals and UTEP. Both the number of variants and the number of samples in the VCF file were found significantly correlated with runtime. A multiple linear regression indicated that 83% variation in the runtime can be explained by its relationship with the numbers
Two Essays on Financial Markets and Institutional Investors by Haoyu

Two Essays on Financial Markets and Institutional Investors Haoyu Xu Doctor of Philosophy Graduate Department of Rotman School of Management University of Toronto 2016 My thesis consists two studies on financial markets and institutional investors. In Chapter 2, I study the trades immediately after the market open and immediately before the market close. The trades in the morning positively predict future returns and cause price continuation. The trades in the afternoon negatively predict future returns and cause price reversals. The momentum trading strategies based on morning returns and the reversal trading strategies based on afternoon returns generate significant abnormal returns, which cannot be explained by standard risk factors including momentum and reversal factors. The results provide strong evidence that trades in the morning are mostly information driven and trades in the afternoon are mostly liquidity driven. In Chapter 3, we explore the properties of equity mutual funds that experience a loss of assets after poor performance. We document that both inflows and outflows are less sensitive to performance because performance-sensitive investors leave or decide not to invest after bad performance. Consistent with the idea that attrition measures the sorting of performance-sensitive investors, we find that attrition has less of an impact on the fund’s flow-performance sensitivity for institutional funds where there is less dispersion in investor performance-sensitivity. Also, attrition has no effect on the flowperformance sensitivity when attrition arises after good performance or investors invest for non-performance reasons.
Conservative management of comminuted central tarsal bone fracture and joint instability in a horse.

Summary A comminuted fracture of the central tarsal bone, fragmentation of the fourth tarsal bone and associated joint instability was diagnosed in a 14-year-old Sport Horse mare who presented for investigation of acute nonweightbearing hindlimb lameness. The mare responded well to conservative management and, unlike previously reported cases of similar injuries, returned to a similar level of athletic activity.