Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of MRI in Evaluation of Patients with Rotator Cuffinjuries and Labral Tears with Arthroscopic Correlation

Introduction: MRI can depict the endurance between rotator cuff degeneration or tendinopathy &full or partial thickness rotator cuff injuries. So careful observation to the bursal, intrasubstance, and articular surface morphology of the tendon is required. Aim &Objective: The aim of the study is to analyse and describe spectrum of MRI findings in a suspected cases of labral and rotator cuff injuries with arthroscopic correlation. Materials and methods: An analytical study conducted in the department of radio diagnosis MIMS, Nellimarla, Vizainagaram between January 2017 to march 2018. Our study included a total of 34 patients who have been referred for shoulder MRI following injury to shoulder. We used Philips Ingenia1.5 Tesla MR Imaging unit. Patients underwent arthroscopy in case of failure of nonsurgical techniques, and the affected shoulder joint was inspected and MRI findings were correlated. Followed by calculation of specificity, sensitivity, negative predictive and positive predictive values. Results: Rotator cuff injuries affected the supraspinatus muscle in 46% followed by the infraspinatus 37%, subscapularis in 16% and 1% injuries has been reported to teres minor in our study. Most rotator cuff injuries were strains (48%), followed by partial thickness tears (29%) full thickness tears (22%) and labral tears in (1%) subjects. Conclusion: Supraspinatus muscle is the most involved muscle with sprains & PTT being the most frequently encountered injuries in rotator cuff. Thus MRI has an ultimate precision for the characterization of rotator cuff injuries, with relatively high sensitivity and specificity rates.
A Survey on Security Issues and Concerns to Social Networks

Social networking sites are websites designed for human interaction. Online social networks are now used by hundreds of millions of people and have become a major platform for communication and interaction between users. Under the gentle encouragement of social networking services like Facebook, Twitter, LinkedIn, Google, Yahoo, the right to privacy is being devalued with no questions asked as to how it affects our security and freedom. Even though the use of social network web sites and applications are increasing day by day but users are not aware of the risks associated with uploading sensitive information. In addition to giving anyone the power to disseminate commercially sensitive information, social media also gives the same power to spread false information. Due to the sensitivity of information stored within social networking sites a plethora of research in the area of information security has been raised. This paper will help to look at some of these risks and identify possible solutions to protect your personal information and your company data.
Stimulating brain tissue with bright light alters functional connectivity in brain at the resting state

Light is considered to modulate human brain function only via the retinal pathway, a way of thinking that we aimed to challenge in the present study. Literature provides evidence of inherent phototransduction for instance in the rat brain and there are potentially photosensitive opsin proteins like melanopsin and panopsin in the human brain too. In order to investigate a short term response, functional connectivity changes of the brain were studied in the resting state with functional magnetic resonance imaging during bright light stimulus via the ear canal. Lateral visual and sensorimotor networks showed increased functional connectivity in the light stimulus group compared to sham controls. The lateral visual network demonstrated slowly increasing functional connectivity on average and the same temporal characteristic was shared by diverse cerebellar brain regions. Hypothetical phototransduction signal pathways leading to responses in brain function are discussed as well as some observed effects and their possible link to the findings. Findings from this study together with the plausible photoreceptor candidates suggest that the brain possesses photosensitive properties, which will have interesting implications for the modulation of brain function and understanding the basic physiology of the brain.
Radioactivity in Trinitite-a review and new measurements

Samples of Trinitite and soil from Trinity site were studied in the radioactivity measurements laboratory at the University of Bremen and at the authors’ facilities in Anaheim (JCR) and Edgewater (WMK). Gamma spectroscopy was used to identify and quantify radionuclides in Trinitite and to perform a radiometric characterization of soil at the Trinity site. Additionally, a similar material (“atomsite“) formed during a soviet test at the Semipalatinsk nuclear test site was investigated. Fission products (Cs, Eu) together with activation products (Co, Ba, Eu, Eu, Am) and Pu were identified. A literature search including some publicly available archive sources was conducted and our data compared to previously published results. Obtained data on Trinitite were also compared to literature data on atomsite formed during atmospheric nuclear tests in Algeria. Variability of radioactivity in Trinitite and relationship of distance from the ground zero and activation were discussed.
Phase behaviour of DNA in presence of DNA-binding proteins

To characterize the thermodynamical equilibrium of DNA chains interacting with a solution of non-specific binding proteins, a Flory-Huggins free energy model was implemented. We explored the dependence on DNA and protein concentrations of the DNA collapse. For physiologically relevant values of the DNA-protein affinity, this collapse gives rise to a biphasic regime with a dense and a dilute phase; the corresponding phase diagram was computed. Using an approach based on Hamiltonian paths, we show that the dense phase has either a molten globule or a crystalline structure, depending on the DNA bending rigidity, which is influenced by the ionic strength. These results are valid at the thermodynamical equilibrium and should therefore be consistent with many biological processes, whose characteristic timescales range typically from 1 ms to 10 s. Our model may thus be applied to biological phenomena that involve DNA-binding proteins, such as DNA condensation with crystalline order, which occurs in some bacteria to protect their chromosome from detrimental factors; or transcription initiation, which occurs in clusters called transcription factories that are reminiscent of the dense phase characterized in this study.
Solubility and Dissolution Enhancement of Albendazole by Spherical Crystallization

Spherical crystallization technique combines crystallization followed by agglomeration to generate spherical crystals with improved micromeretic properties, thus obviating need for further processing by agglomeration and granulation. The present study was focused on spherical crystallization of an antihelmentic drug Albendazole (ABZ) using spherical crystallization technique. Apart from being poorly water-soluble, ABZ exhibits poor flow and compressibility owing to its needle shaped crystal habit and electrostatic charge. Spherical agglomeration was carried out in the presence of different bridging liquids (hexane, octanol, dichloromethane) and polymers (Carboxymethyl Celluose Sodium [Na CMC] and Hydroxyl propyl methyl cellulose [HPMC]), by employing different crystallization conditions such as variation of polymer type, polymer concentration, variation of bridging liquid, bridging liquid concentration, rate of stirring and stirring time. The final parameters were optimized to obtain crystals for the formulation of tablet through direct compression. The agglomerates exhibited better flow properties, higher bulk density and improved compressibility compared to pure powder drug. Spherical crystals generated in the presence of Sodium CMC and HPMC indicated better compressibility of spherical crystals than the spherical crystals prepared with organic solvents in the absence of Sodium CMC and HPMC.
The time-dependent shortest path and vehicle routing problem

Abstract We introduce the time-dependent shortest path and vehicle routing problem. In this problem, a set of homogeneous vehicles is used to visit a set of customer locations dispersed over a very large network where the travel times are time-dependent and therefore the shortest path between two locations may change over time. The aim of the problem is to simultaneously determine the sequence in which the customer locations are visited and the arcs traveled on the paths between each pair of consecutively visited customers, such that the total travel time is minimized. We are the first to formally define and solve this fully integrated problem, providing tight bounds to it. We then propose a dynamic time-dependent shortest path algorithm embedded within a simulated annealing metaheuristic to efficiently solve the problem. We also propose a variant of the algorithm where some time-dependent shortest paths are precomputed. We test our formulations and algorithms on a set of real-life instances generated from a dataset of the road network in Québec City, Canada. Our results indicate that the resulting models are too large to be solved even for small instances. However, the obtained bounds show that the developed simulated annealing heuristic performs very well. We also demonstrate that neglecting time-dependent information on traffic leads to imprecise estimation of the traveling time. Moreover, the results show the importance of solving the shortest paths and routing problems simultaneously, as using a set of precomputed shortest paths leads to slightly worse solutions. This work adds new research avenues to city logistics and congestion studies.
16 RESTORING SEVERELY DECAYED PRIMARY ANTERIOR TEETH USING OMEGA POSTS AND FIBRE POST SYSTEMS A CASE REPORT CASE REPORT

Background :Caries in very young children known as Early Childhood Caries (ECC) may be defined according to the American Academy of Pediatric Dentistry “as the presence of one or more decayed, missing (due to caries), or filled tooth surfaces in any primary tooth in a child 71 months of age or younger”. Early childhood caries mainly occurs in maxillary primary anterior teeth and if untreated it can lead to pulpal involvement and destruction of coronal tooth structure, these teeth are difficult to restore. In majority of cases, the destruction of the tooth structure involves almost the entire crown, leaving just the root and little crown portion, hence, only dentine left for bonding of the restorative materials Observation and result :The newly introduced fibre posts are aesthetic, easy to use and are available in different sizes. In the present study, for purpose of comparison, both types of posts (Fibre and omega shaped stainless steel wire posts) were used to restore the grossly destructed primary maxillary incisors. This also ensured that both types of posts being in the same oral cavity would be subjected to similar dietary patterns, oral hygiene conditions and occlusal forces. Fibre posts proved to have better retention, which can be due to the chemical and mechanical bonding to the tooth surface. So the fibre post systems seems to be a suitable alternative for the omega posts, due to the better retention and more aesthetic appearance as compared to omega shaped stainless steel wire posts.Conclusion:Restoring teeth after endodontic procedures is requisite for multiple reasons and this can be achieved with ease if proper retentive post is selected. This case gives us an idea that the retention of fibre posts is better than the omega shaped stainless steel wire post as well as fibre posts are better aesthetically.
On Dialogue, Culture, and Organizational Learning

C onsider any complex, potentially volatile issue—Arab relations; the problems between Serbs, Croats, and Bosnians; corporate decision making; getting control of the US decit or health care costs; labor-management relations; and so on. At the root of the issue, we are likely to nd communication failures and cultural misunderstandings that prevent the parties from framing the problem in a common way, and thus make it impossible to deal with the problem constructively. Clearly, we needways of improving our thought processes, especially in groupswhere the solution depends on people reaching at least a common formulation of the problem. It is for this reason that governments, communities, and organizations are focusing increasing attention on the theory and practice of dialogue. Proponents of dialogue claim that it holds promise as a way of helping groups reach higher levels of consciousness and thus be more creative and more effective. At the same time, the uninitiated may view dialogue as just one more oversold communication technology—or nothing more than a new variant of sensitivity training. My goal in this article is to provide one perspective on dialogue, based upon my own direct experience with it. I hope to show that dialogue is indeed not only different from many of the techniques that have been proposed before, but also that it has considerable promise as a problem-formulation and problem-solving philosophy and technology. I will also argue that dialogue is necessary as a vehicle for understanding cultures and subcultures, and that organizational learning will ultimately depend upon such cultural understanding. Dialogue thus becomes a central element of any model of organizational transformation.
Efficient Generation of Memory Reference Strings Based on the LRU Stack Model of Program Behaviour

We consider the problem of generating memory reference strings that are representative of real programs where the generator is based on the Least Recently Used (LRU) Stack Model of program behavior. A method to transform the stack distance probability mass function that drives the generator is proposed which results in memory reference strings that are considerably shorter in length while preserving most of the essential characteristics of the original string. The reduced string can be processed in much the same way as the original string for virtual memory studies that deal with memory sizes greater than or equal to k, the parameter of the transformation.
Community Participation in HIV/AIDS Programs

The advent of the human immunodeficiency virus (HIV) in the last few decades has presented considerable challenges to health systems throughout the world. Many countries developed measures to combat the spread of the virus and the trends are improving, mostly due to the introduction of potent new combinations of medications, the development of effective prevention strategies and increased community awareness. These improvements would not have been possible without the mobilisation of communities around the world, who, recognising their vulnerability, have taken collective action to curb the propagation of HIV. The subsequent pages discuss the origins, development and components of community participation with respect to HIV, including examples of strong community participation initiatives.
Extraction : A new combination of Statistical and Web Mining Approaches

The objective of this work is to combine statistical and web mining methods for the automatic extraction, and ranking of biomedical terms from free text. We present new extraction methods that use linguistic patterns specialized for the biomedical field, and use term extraction measures, such as C-value, and keyword extraction measures, such as Okapi BM25, and TFIDF. We propose several combinations of these measures to improve the extraction and ranking process and we investigate which combinations are more relevant for different cases. Each measure gives us a ranked list of candidate terms that we finally re-rank with a new web-based measure. Our experiments show, first that an appropriate harmonic mean of C-value used with keyword extraction measures offers better precision results than used alone, either for the extraction of single-word and multi-words terms; second, that best precision results are often obtained when we re-rank using the web-based measure. We illustrate our results on the extraction of English and French biomedical terms from a corpus of laboratory tests available online in both languages. The results are validated by using UMLS (in English) and only MeSH (in French) as reference dictionary. Résumé L'objectif de ce travail est de combiner les méthodes d'extraction statistiques et la fouille du web pour l'extraction automatique et le classement des termes biomédicaux à partir de documents textuels. Nous présentons de nouvelles méthodes d'extraction qui utilisent des patrons linguistiques spécialisés du domaine biomédical associés à des mesures d'extraction de termes, tels que C-value, et des mesures d'extraction de motsclés comme Okapi BM25 et TFIDF. Nous proposons plusieurs combinaisons de ces mesures afin d'améliorer le processus d'extraction et de classement. Chaque mesure nous donne une liste ordonnée des termes candidats que nous avons finalement réordonné avec une nouvelle mesure web. Nos expérimentations montrent, d'abord, que la moyenne harmonique de C-value avec une mesure d'extraction de mots-clés offre de meilleurs résultats de précision que leur utilisation seule pour l'extraction des termes composés d'un seul mot et des syntagmes. Les meilleurs résultats de précision sont souvent obtenus quand nous appliquons la mesure fondée sur le web. Nous illustrons nos résultats à partir de l'extraction des termes biomédicaux en anglais et en français sur un corpus de tests de laboratoire disponibles en ligne dans les deux langues. Les résultats sont validés à l'aide de UMLS (en anglais) et MeSH (en français) comme dictionnaire de référence.
Ultra-thin perfect absorber employing a tunable phase change material

We show that perfect absorption can be achieved in a system comprising a single lossy dielectric layer of thickness much smaller than the incident wavelength on an opaque substrate by utilizing the nontrivial phase shifts at interfaces between lossy media. This design is implemented with an ultra-thin (∼λ/65) vanadium dioxide (VO2) layer on sapphire, temperature tuned in the vicinity of the VO2 insulator-to-metal phase transition, leading to 99.75% absorption at λ = 11.6 μm. The structural simplicity and large tuning range (from ∼80% to 0.25% in reflectivity) are promising for thermal emitters, modulators, and bolometers.
Social Influence Bias in Online Ratings: A Field Experiment

The aim of this paper is to study the empirical phenomenon of rating bubbles, i.e. clustering on extremely positive values in e-commerce platforms and rating web sites. By means of a field experiment that exogenously manipulates prior ratings for a hotel in an important Italian tourism destination, we investigate whether consumers are influenced by prior ratings when evaluating their stay (i.e., social influence bias). Results show that positive social influence exists, and that herd behavior is asymmetric: information on prior positive ratings has a stronger influence on consumers’ rating attitude than information on prior mediocre ratings. Furthermore, we are able to exclude any brag-or-moan effect: the behavior of frequent reviewers, on average, is not statistically different from the behavior of consumers who have never posted ratings online. Yet, non-reviewers exhibit a higher influence to excellent prior ratings, thus lending support to the social influence bias interpretation. Finally, also repeat customers are affected by prior ratings, although to a lesser extent with respect to new customers.
Deep Learning and Comparison with Naive Bayesian Analysis

This paper is a research on predicting the probability of a dataset of S and P Stock Market , gathering it into the specific format and applying the Deep Learning Model using Tensorflow on that dataset to find the probability and accuracy of the same. For carrying out the same task using Naive Bayesian Analysis, dataset of the patients dealing with the diabetes have been taken which basically contains females over 21 years of age at Pima Indian Heritage. Many constraints have been added to the dataset in order to find the accuracy of the dataset used. Prior to testing the Deep Learning tensorflow model on this dataset, I developed a comparison dataset program to test the prediction power ( which basically included the example of making the dataset of multiple days when a person goes for running or not and predicting the probability from that dataset if he would be going to run in the morning the next day or not). Comparison of Deep Learning and Naive Bayesian Analysis is leveraged as the end result.
Real-time Schedulability Analysis for Hardware Supported Virtual Machine on ARM Cortex-A15 Processor

The researches applying virtualization techniques to mobile environment have been studied. Previous mobile virtualization researches needed to modify its guest OSes. Newly published processor, ARM Cortex-A15, provides hardware support for a virtualization (HVM) and it is no more necessary to modify the guest OSes. Thus, we investigated real-time schedulability and bottleneck of performance for the virtualized mobile system with this processor. In our performance analysis, we found that hardware supported virtual machine was hard to guarantee the real-time support and the bottleneck of performance was guest OS, not the hypervisor.
Chemical Solution Deposition Based Oxide Buffers and YBCO Coated Conductors

The main objective of this work is to conduct fundamental research in the broad areas of chemical solution based buffer and high temperature superconductor, namely Yttrium Barium Copper Oxide (YBCO) development. The results of this research provide new insights in buffer/superconductor areas and suggest methods to improve buffer/superconductor multilayer thin film fabrication. The overall purpose is to develop a potentially lower-cost, high throughput, high yield, manufacturing processes for buffer/superconductor thin multi-layer film fabrication, and to gain fundamental understanding of the growth of solution buffer/superconductor layers for Rolling Assisted Biaxially Textured Substrate (RABiTS) templates. This understanding is critical to the development of a reliable, robust, long-length manufacturing process of second-generation (2G) wires for electric-power applications. In order to reduce the cost of superconductor wires, it is necessary to replace the existing physical vapor deposited three buffer layer RABiTS architecture of Yttrium Oxide, Y2O3 seed/Yttria Stabilized Zirconia, YSZ barrier/Cerium Oxide, CeO2 cap with buffers deposited by industrially scalable methods, such as slot-die coating of chemical solution deposition (CSD) precursors [1-11]. Spin-coating is typically used to deposit short samples for optimizing the CSD film growth conditions. In a typical chemical solution process, metal organic precursors in suitable solvents are spin/dip/slot-die coated on either single crystal or biaxially textured substrates followed by heat-treating in a tube furnace under controlled conditions. Chemical Solution Deposition (CSD) process offers significant cost advantages compared to physical vapor deposition (PVD) processes [5-11]. Solution coating is amenable to complex oxides, and the materials utilization (yield) is almost 100%. The high-temperature superconductors (HTS) such as (Bi,Pb)2Sr2Ca2Cu3O10 (BSCCO or 2223 with a critical temperature, Tc of 110 K) and YBa2Cu3O7-δ (YBCO or 123 with a Tc of 91 K) have emerged as the leading candidate materials for the first generation (1G) and second generation (2G) high temperature superconductor wires or tapes that will carry high critical current density in liquid nitrogen temperatures [1,2]. Here, we report the growth of buffer/YBCO superconductor film growth using a chemical solution method towards fabrication of second generation superconductor wires.