Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Online Data from Search Engine and Social Media in Healthcare Informatics

Search engines and social media are two different online data sources where search engines can provide health related queries logs and Internet users’ discuss their diseases, symptoms, causes, preventions and even suggest treatment by sharing their views, experiences and opinions on social media. This chapter hypothesizes that online data from Google and Twitter can provide vital first-hand healthcare information. An approach is provided for collecting twitter data by exploring contextual information gleaned from Google search queries logs. Furthermore, it is investigated that whether it is possible to use tweets to track, monitor and predict diseases, especially Influenza epidemics. Obtained results show that healthcare institutes and professional’s uses social media to provide up-to date health related information and interact with public. Moreover, proposed approach is beneficial for extracting useful information regarding disease symptoms, side effects, medications and to track geographical location of epidemics affected area.
Multifactor correlation analysis and modeling for product low-carbon design

ABSTRACT Low-carbon design is a process of contradiction coordination, which involves multiple factors and necessitates abundant design knowledge and rules. We proposed the method that integrated the case-based reasoning (CBR) method and extension theory to achieve low-carbon design for products. In this paper, our work is on analyzing the design constraints, and constructing the parameters modeling for representation of product cases. Firstly, we discussed the correlation among factors, and mapped the requirement onto the detailed physical structure. Secondly, we integrated the improved activity-based costing and carbon method and the indirect calculation method to estimate the carbon footprint and cost of each phase in product life cycle. We adopted the basic-element model to represent the product cases and used the dependent function to discriminate the extent of compliance with the requirement. In final, the applicability of proposed method was demonstrated through a case study of a screw air compressor.
Social odometry: distributed location knowledge for swarm robotics based on local communication

In social insects, such as ants or bees, the individuals have no knowledge of the global state of the environment. There is no leader that guides all the other individuals to accomplish their goals. Instead, the knowledge of the swarm is distributed throughout all the agents. An individual is not able to accomplish its task without the rest of the group and the group is not able to do it without the help of the individuals. The goal of this Thesis is the design of intelligent behaviors for distributed collective robotic localization, in which social insect colonies serve as an inspiration. More specifically, we propose Social Odometry, a localization strategy inspired by social insect colonies, in which robots have no access to centralized information. Each robot has an estimate of its own location with respect to one or more landmarks, and an associated confidence level that decreases with the distance traveled. Robots use estimates advertised by neighboring robots to improve their own location estimate. This online social method allows a group of robots both to increase the quality of individuals' estimates and efficiently improve their collective performance. Furthermore, Social Odometry produces a successful self-organized collective pattern.
Otizmli Bireylerin Eğitiminde Video ile Model Olma Uygulamalarının Değerlendirilmesi: Bir Alanyazın Derlemesi ve Meta-Analiz Örneği

Otizmli bireylerin egitimlerinde teknolojinin de gelismesi ile beraber video ile model kullanimi konusunda ilerlemeler kaydedilmistir. Bu yontemin etkililiginin test edildigi tek denekli arastirma modellerine dayanan arastirmalarin, niteliksel ve niteliksel ozetlemeleri alanyazinini takip etmekte olan uygulamaci ve arastirmacilar icin yardimci olacaktir. Bu calismada otizmli bireylerle gerceklestirilmis, 2005 sonrasi yayinlanmis, 24 adet tek denekli arastirma modeli kullanmis makale incelenmistir. Ayrica ortusmeyen verilerin yuzdesi yontemi ile etki buyuklugu hesaplamalari da yapilarak, niceliksel sonuclar da elde edilmistir. Toplamda 59 katilimcinin yer aldigi bu calismalarda iletisim, gunluk yasam becerileri, ozbakim becerileri ve mesleki egitim becerilerinin gelistirilmesi konularina odaklandiklari belirlenmistir. Bu calismalar sonucunda otizmli bireylerin hedeflenen davranislar uzerinde gelisme gosterdiklerine dair veriler elde edilmekle birlikte bazi sorular da ortaya cikmistir
Surgeons' Attitudes to Teamwork and Safety

Attitudes towards human and organizational factors can have an impact on effective team performance and consequently on patient safety. The Operating Room Management Attitudes Questionnaire (ORMAQ) measures attitudes to leadership, communication, teamwork, stress and fatigue, work values, and organizational climate. Data were collected from 231 consultant and trainee surgeons, and 121 surgical nurses from 17 Scottish Hospitals using a customized version of the ORMAQ. The respondents generally demonstrated positive attitudes to teamwork, leadership and safety and were similar to those reported in previous ORMAQ surveys of anaesthetists in Scotland and of surgeons in other countries. However, consultant and trainee surgeons differed in their attitudes to briefings, critical situations, and competence acknowledgement.
Three new species of Entoloma from Kerala State, India

Three new species of Entoloma s.l. from Kerala State, India are described, illustrated and discussed. Entoloma haematinum, a very small, bright red, omphalinoid species, reminiscent of Hygrocybe cantharellus, is unique because of its quadrate-cuboid spores; it fits well in subgenus Omphaliopsis. Entoloma nubilum and E. carneum are both characterised by their small, pleurotoid basidiocarps. The first is related to the species of subgenus Leptonia; the second fits better in subgenus Claudopus. Comments are given on the taxonomic position of the new species.
L'ANALYSE DE DEUX LEXIQUES DE L'ARABE VEHICULAIRE PARLE DANS L'ETAT INDEPENDANT DU CONGO

At the end of 19th century and in the first decade of the 20th century, Arabic was one of the languages used as lingua franca in the Uele Basin as well as in the Redjaf-Lado area, both territories being administrated by the Congo Free State. This language had been introduced in the region by the Sudanese traders and the Egyptian soldiers serving in Equatoria. Two multilingual booklets, published in 1903 and 1905, were written by European officers serving in the area. Though they have many defaults - orthography, transcription, lack of sentences. - these works show that the Arabic used in the region was related to Chadian-Sudanese and
Could the NHS Frighten People into Healthy Habits? Smoking, Subjective Mortality Expectations and Health Information

This paper estimates the potential long-run impact on unhealthy habits of programs of early detection of chronic conditions as hypertension in England. This is done by estimating the parameters of a structural model on smoking, hypertension diagnosis and mortality. In order to deal with selection on screening I employ a feature of the English Longitudinal Study of Ageing (ELSA), a nation wide representative survey of the population aged over 50: the recommendation by a professional nurse, trained by the survey organizers, to visit a GP for a screening procedure depending on current readings of blood pressure. Selection into smoking due to live expectancy or health is addressed by employing unobserved heterogeneity and subjective survival probabilities. These mortality beliefs, which depend on a latent health process, are allowed to be a function of both actual and future smoking choices. Exploratory results show that five interventions every 2 years would reduce, at its peak in the seventh year, smoking prevalence by 0.22 pp. While these numbers provide an idea of the magnitude of the effects that can be obtained, they do not provide conclusive evidence.
Agreement between clinical and non-clinical digital manometer for assessing maximal respiratory pressures in healthy subjects

Measurement of respiratory muscles strength such as maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP) are used to detect, diagnose and treat respiratory weakness. However, devices used for these measurements are not widely available and are costly. Currently, the use of a digital manometer is recommended. In industry, several inexpensive devices are available, but these have not been validated for clinical use. Our objective was to determine the agreement between maximal respiratory pressures obtained with a clinical digital manometer and that with a non-clinical digital manometer in healthy volunteers. We assessed the height, weight, lung function, MIP, and MEP of healthy volunteers. To compare pressures obtained by each type of digital manometer, a parallel approach configuration was used. The agreement was measured with the Intraclass Coefficient Correlation (ICC) and the Bland-Altman plot. Twenty-seven participants (14 men) were recruited with a median age of 22 (range: 21–23) years. Each participant underwent three measurements to give a total of 81 measurements. The mean MIPs were 90.8 ± 26.4 (SEM 2.9) and 91.1 ± 26.4 (SEM 2.9) cmH2O for the clinical and non-clinical digital manometers, respectively. The mean MEPs were 113.8 ± 40.4 (SEM 4.5) and 114.5 ± 40.5 (SEM 4.5) cmH2O for the clinical and non-clinical digital manometers, respectively. We obtained an ICC of 0.998 (IC 0.997–0.999) for MIP and 0.999 (IC 0.998–0.999) for MEP. There is a high agreement in the values obtained for MIP and MEP between clinical and non-clinical digital manometers in healthy volunteers. Further validation at lower pressures and safety profiling among human subjects is needed.
Sparse Based Face Recognition System

Face detection and recognition is one of the most challenging problems in the field of image processing. One of the recent techniques in face recognition is by the sparse representation. In this paper, combination of Sparse and Histogram of Oriented Gradients (HOG) are used. In the first stage dimensionality reduction is done to reduce the amount of random variables and the features are extracted using Principal Component Analysis (PCA). The extracted features are classified using Sparse Representation via l1minimization. For better invariance to illumination and expression changes, Histogram of Oriented Gradients (HOG) feature is also extracted to represent face images.This method offer the better recognition performance when compared to the existing methods. The proposed face recognition method is evaluated on the standard ORL data base and yields very impressive results.
Thoughts on the popularity of printed music in 16th-century Italy

Les festivites autour du cinq-centieme anniversaire du premier imprime musical de Petrucci (l'Odhecaton de 1501) sont l'occasion d'examiner a nouveau certaines questions generales relatives a la typographie musicale italienne du XVI eme siecle et, entre autre : les incidences de l'edition musicale italienne sur la propagation du repertoire ; l'importance reelle du marche des imprimes musicaux a l'epoque ; ce qu'on peut conclure sur le gout musical a partir des oeuvres qui ont ete imprimees. Ce qui subsiste laisse a penser que le marche etait petit, une estimation de cinq cent exemplaires pour un tirage moyen paraissant, dans la plupart des cas, bien trop elevee. En fait, parler d'un tirage moyen a l'epoque n'a pratiquement aucun sens. Une evolution s'est operee dans les annees 1580 avec l'apparition de nouveaux editeurs, suggerant que l'ensemble du marche de la musique commencait alors a se developper. Avant cette date, on a la preuve qu'il n'y avait de place sur le marche que pour tres peu d'editeurs : seulement Petrucci avant 1510, Petrucci et Antico de 1510 a 1522, Pasoti et Dorico dans les annees 1520-1530 et Scotto a partir de 1533. Il n'existait pas reellement de marche pour la musique imprimee avant la fin des annees 1530. On observe plutot une variete d'usages du support imprime, ayant peu en commun avec la vente en gros mais refletant plutot les souhaits d'un protecteur desireux de financer un tirage ou les besoins ponctuels d'un marche local.
Theoretic Study of Distributed Graph Planning (Extended Abstract)

In situations where it needs the actions of different agents to accomplish a task, the planning for the task involves selecting and organizing the actions belonging to multiple agents. Most existing multi-agent planning approaches to solving such a planning problem rely on the global knowledge of the capabilities of the agents, and are confronted with difficulties when the availability of the global knowledge is impossible or undesirable. Previously, we have proposed a distributed multi-agent planning algorithm Dis-graph planning to address the difficulties, which enables multiple agents to cooperate in generating a plan without relying on the global knowledge. In the work of this paper, we performed a theoretical study of Dis-graph planning approach, discussing its critical features such as completeness, soundness and terminability.
CUDA raytracing algorithm for visualizing discrete element model output

A raytracing algorithm is constructed using the CUDA API for visualizing output from a CUDA discrete element model, which outputs spatial information in dynamic particle systems. The raytracing algorithm is optimized with constant memory and compilation flags, and performance is measured as a function of the number of particles and the number of pixels. The execution time is compared to equivalent CPU code, and the speedup under a variety of conditions is found to have a mean value of 55.6 times.
Anisotropic mesh adaption by metric‐driven optimization

We describe a Gauss–Seidel algorithm for optimizing a three‐dimensional unstructured grid so as to conform to a given metric. The objective function for the optimization process is based on the maximum value of an elemental residual measuring the distance of any simplex in the grid to the local target metric. We analyse different possible choices for the objective function, and we highlight their relative merits and deficiencies. Alternative strategies for conducting the optimization are compared and contrasted in terms of resulting grid quality and computational costs. Numerical simulations are used for demonstrating the features of the proposed methodology, and for studying some of its characteristics. Copyright © 2004 John Wiley & Sons, Ltd.
Increasing Accuracy of Chinese Segmentation with Strategy of Multi step Processing

The automatic word segmentation of Chinese sentences is difficult when the processing mechanism faces large scale real texts.The crucial two issues in Chinese segmentation are the identification of unknown words and the disambiguation of segmentation strings.This paper describes a strategy based on multi steps processing for decreasing the difficulties and improving the accuracy of the segmentation.The processing steps include seven parts,i.e.,disambiguation of pseudo ambiguities,full segmentation of a sentence,determinate segmentation for some words,processing of numeral string,processing for reduplication of words,statistical identification for unknown words and final correction for segmentation ambiguities with part of speech which is integrated in the tagger.The output of this procedure is promising with above 98% accuracy in open test.
Synthesis, Structural Characterization and Theoretical Investigations of New Azo-Azomethine Compounds Bearing Acryloyl Moiety

In this study six new azo-azomethine dyes containing acryloyl group, 4-[[[4-[4′-methyl phenyl azo) phenyl] imino] methyl] phenyl-2-propenoat, 4-[[[4-[4′hydroxy phenylazo) phenyl] imino] methyl] phenyl-2-propenoat, 4-[[[4-(phenyl azo) phenyl] imino] methyl]phenyl-2-propenoat, 4-[[[4-[4′-chloro phenyl azo) phenyl] imino] methyl] phenyl-2-propenoat, 4-[[[4-[4′nitro phenyl azo) phenyl] imino] methyl] phenyl-2propenoat were synthesized. The acryloyl derivatives of the azo-azomethine dyes were prepared with metallic sodium and acryloyl chloride in 1:1 Molar ratio and characterized using elemental analysis, IR, UV-Vis, 1H-NMR and 13C-NMR spectroscopy. The molecular geometry was also optimized using density functional theory (DFT/B3LYP) method with the 6-311G(2d,2p) and cc-pvtz basis sets in ground state. From the optimized geometry of the compounds, vibrational frequencies, UV-Vis, molecular electrostatic potential distribution and frontier molecular orbitals were performed using same method and basis stets, and the results were compared with the experimental data.
Uplink WCDMA capacity and range as a function of inter-to-intra cell interference: theory and practice

UMTS is one of the new emerging 3G cellular standards for global wireless data telecommunications. Whereas voice services have dominated the second-generation cellular traffic, data services are predicted to become a major part of global personal mobile communications. An essential element to any commercial case for 3rd generation networks is the range and equivalent capacity of a UMTS network. This paper reviews some simplistic uplink capacity estimation methods and issues associated with these metrics using an example 37 cell, 111 sector network. Following this example "real" network dimensioning data is used to contrast the differences and sensitivity of the simplistic uplink capacity and range estimation technique outlined by the use of a numerical static system simulator.
Acute Inhalation Exposure to Vaporized Methamphetamine Causes Lung Injury in Mice

Methamphetamine (MA) is currently the most widespread illegally used stimulant in the United States. Use of MA by smoking is the fastest growing mode of administration, which increases concerns about potential pulmonary and other medical complications. A murine exposure system was developed to study the pulmonary affects of inhaled MA. Mice were exposed to 25–100 mg vaporized MA and assessments were made 3 h following initiation of exposure to model acute lung injury. Inhalation of MA vapor resulted in dose-dependent increases in MA plasma levels that were in the range of those experienced by MA users. At the highest MA dose, histological changes were observed in the lung and small but significant increases in lung wet weight to body weight ratios (5.656 ± 0.176 mg/g for the controls vs. 6.706± 0.135 mg/g for the 100 mg MA-exposed mice) were found. In addition, there was 53% increase in total protein in bronchoalveolar lavage (BAL) fluid, greater than 20% increase in albumin levels in the BAL fluid, greater than 2.5-fold increase in lactate dehydrogenase levels in the BAL fluid, and reduced total BAL cell numbers (approximately 77% of controls). Levels of the early response cytokines tumor necrosis factor (TNF)-α and interleukin (IL)-6 were dose-dependently increased in BAL fluid of MA-exposed mice. Exposure to 100 mg MA significantly increased free radical generation in the BAL cells to 107–146% of controls and to approximately 135% of the controls in lung tissue in situ. Together, these data show that acute inhalation exposure to relevant doses of volatilized MA is associated with elevated free radical formation and significant lung injury.
A material segmentation and classification system

In this thesis, I developed a material segmentation and classification system that takes in images of an object and identifies the material composition of the object's surface. The 3D surface is first segmented into regions that likely contain the same material, using color as a heuristic measure. The material classification of each region is then based on the cosine lobe model. The cosine lobe model is our adopted reflectance model, which allows for a simple approximation of a material's reflectance properties, which then serves as the material's unique signature. Thesis Supervisor: Edward H. Adelson Title: Professor Thesis Supervisor: James R. Bruce Title: Research Software Engineer, PhD
Esprits sauvages, citadins et maladie, quand la nature s'en mêle

Dans les Andes, les desordres qui affligent une personne sont penses a partir des antagonismes nes de la vie sociale et des forces en presence, esprits de la nature herites des cultures prehispaniques. Dans la region de Cuzco, la pratique actuelle du rituel de la mesa temoigne de la perennite de cet attachement a la nature en milieu urbain. Au cours de celui-ci, un personnage emblematique, appele paqo ou altomisayoq, convoque et incorpore ces etres designes comme ancetres, anges, peres et meres, et temoins du malheur des hommes. Dans ce contexte, la maladie, sa raison d'etre, sa guerison, ses remedes, la conduite a tenir a l'avenir, aucune pratique ne saurait etre agissante hors de ces representations collectives centrees sur cette nature et presentees dans ce texte.
Identity-based non-interactive key sharing equivalent to RSA public-key cryptosystem

A new simply implemented identity-based non-interactive key sharing scheme (ID-NIKS) has been proposed. The security depends on the difficulty of factoring and is equivalent to RSA public-key cryptosystem even when the collusion among users is performed. The center algorithm is very simple and easily implemented. The extension to a common-key sharing scheme among multi-users is also possible.
Cloud Computing Domain Application in Computational Neuroscience- A Feasible Study

Over a several years digital & medicaltechnology has played a significant role in defining and reinventing techniques, medical devices, and pharmaceuticals in medical healthcare domain.Advancement in digital technologies as well as information & communication sciences (ICS) creates a wider scope in medical science more particularly in human brain research. We have to admit that human brain is a complex phenomenon to decode nonlinear activity one can use medical imaging devices to scan and understand its functional behavior. The potential & strength of computing power played a fundamental role in medical image processing. As days progresses future of medical technologies are going to be completely decentralized.Cloud computing has been introduced but aspect of application already in discussion research and clinical settings. This is why becauseeasily accessibility and reconfigurable resources such as virtual systems, platforms, and applications with low service cost. Medical practioners and researchers are moving their efforts to the cloud, because they need adequate resources to process, store, exchange, and use large quantities of medical data. In our study we are focusing on a novel application of Distributed Cloud Computing (DCC) and how it works in medical application in general brain neuroscience & imaging. The ultimate goal is to establish a strong link up with health & medical diagnosis. We are proposing distributed cloud platform together with cloud enabled data grid of human brain scan data of different brain scanners. This data grid is act like a brain consortium which help to do further research and also for medical treatment which widely accessible through web. The distributed cloud framework will spread across different geographic locations and distributed computing gives strong network to process cloud enabled data simultaneously &parallely from different locations. In this work we are also introducing and establishing computational aspect of neuroscience from system to real brain with different brain disorders and how such data sets are formed in cloud computing. The centrality of our work is based on domain knowledge of bioengineering and how it club with computation based processing for medical healthcare to enhance research as well as speedy medical treatment of particular disorder and we also investigate how distributed cloud computing could benefit computational neuroscience.