Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of antimicrobial potential of aqueous and alcoholic extract of Triphala against wound pathogens

The healing of an infected wound is still challenging for regeneration of dermis and epidermis in wound site due to the presence of bacterial pathogens and its metabolites such as collagenase and elastase. These metabolites degrade numerous extracellular matrix proteins such as collagen and elastin at wound site. As a result, the wound closure is delayed. Having existing antibiotic therapy for wound healing past decades, it has many disadvantages such as absence of synergistic activity, cyto-toxicity and then development of antibiotic resistance. Therefore, Phyto-pharmaceutical is the best source for potential antimicrobial agents to eradicate the wound pathogens for faster wound healing. Triphala is a kind of poly herbal Ayurvedic formulation and used for evaluation for antimicrobial action against wound pathogens. The aqueous and methanol extract of Triphala is prepared in Soxhlet extraction apparatus. The dried extract was dissolved in 10% Dimethyl Sulfoxide (DMSO) and used to assay the antibacterial potential of these extracts against wound pathogens by minimum inhibitory concentration (MIC) and disc diffusion assay. This investigation showed susceptibility of wound pathogens including clinical isolated from wound environment to the aqueous and alcoholic extract of Triphala. The disc diffusion assay confirmed clear zone of inhibition for S. aureus (19±1.5 mm) P. aeruginosa (20±1.0 mm) and S. pyogenes (15±1.5 mm) in the case of Alcoholic extract. The aqueous extract showed zone of inhibition around ~12 -14 mm for all bacteria. The MIC of Triphala alcoholic extract against S. aureus as well as P. aeruginosa was found between 3.91–7.81 mg/ml and against S. pyrogenes between 15.6–31.25 mg/ml. The alcoholic extract of Triphala has potent antimicrobial activity against wound pathogens and hence prevents wound infection at the wound site. Additionally, this investigation helps to prepare ointment formulation of Triphala for various wound healing including pressure sores and diabetic ulcers.
Architecting a Reusable Platform for Pervasive Augmented Reality Games based on Petri Net Models

Pervasive Games require complex technical challenges to be overcome and their design space is yet mostly unexplored. In this paper we present a reusable platform for quickly designing, deploying and evaluating and managing multiplayer Augmented Reality Games. The games can explore visual and aural AR techniques, GPS and QR interface mechanics, and are structured as a set of activities defined using Petri Net models. These ARGs are typically played outdoors, using a smartphone client application. Evaluation of the platform involved field testing with realistic game designs exploring Cultural Heritage scenarios.
Preliminary study of friction and wear on natural oil-based lubricants

Nowadays, natural oil-based is much desired for its application as a lubricant in metal forming processes, a renewable resource and has high biodegradability compared to mineral oil. Other good characteristics include sustainability and eco-friendly. Therefore, it is important to study their tribological properties and perhaps can provide other alternative to replace mineral oils as lubricant. This paper presents the preliminary study for natural oil-based lubricant which in this case are refined glycerine, oleic methyl ester and crude glycerol. The study concentrated on friction and wears tests and was carried out using a four-ball tester.
Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions

One of the primary tasks in neuroimaging is to simplify spatiotemporal scans of the brain (i.e., fMRI scans) by partitioning the voxels into a set of functional brain regions. An emerging line of research utilizes multiple fMRI scans, from a group of subjects, to calculate a single group consensus functional partition. This consensus-based approach is promising as it allows the model to improve the signalto-noise ratio in the data. However, existing approaches are primarily non-parametric which poses problems when new samples are introduced. Furthermore, most existing approaches calculate a single partition for multiple subjects which fails to account for the functional and anatomical variability between different subjects. In this work, we study the problem of group-cohesive functional brain region discovery where the goal is to use information from a group of subjects to learn “group-cohesive” but individualized brain partitions for multiple fMRI scans. This problem is challenging since neuroimaging datasets are usually quite small and noisy. We introduce a novel deep parametric model based upon graph convolution, called the Brain Region Extraction Network (BREN). By treating the fMRI data as a graph, we are able to integrate information from neighboring voxels during brain region discovery which helps reduce noise for each subject. Our model is trained with a Siamese architecture to encourage partitions that are group-cohesive. Experiments on both synthetic and real-world data show the effectiveness of our proposed approach.
Travel Agent Destinations Selection based on a Fuzzy Multicriteria Decision Making Method

We suggest a rigorous method to determine the most appropriate tourist destinations to be purchased by a travel agency from the perspective of a target public. First, we obtain the list of attributes considered the most important, using a focus group, chosen from the target group. Then, we determine the levels of importance of different attributes, in terms of linguistic variables, after applying a questionnaire in a sample of 400 individuals from the target group. The last step is to use a recent method in fuzzy multicriteria decision making to find the best tourist destinations from the point of view of the possible future customers. In fact, we obtain a hierarchy of the destinations, so that the travel agency has the possibility to virtually contract the most desired destinations. The method is easy implementable and it is sufficient to apply the last step if the structure of customers is unchanged and the structure of the tourist destinations is changed. The theoretical development is completed by a real numerical example, the questionnaire being applied. Key-Words: fuzzy number, tourist destinations, multicriteria decision making, travel agent, offer, survey
Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data

Neuroimaging data typically undergoes several preprocessing steps before further analysis and mining can be done. Affine image registration is one of the important tasks during preprocessing. Recently, several image registration methods which are based on Convolutional Neural Networks have been proposed. However, due to the high computational and memory requirements of CNNs, these methods cannot be used in real-time for large neuroimaging data like fMRI. In this paper, we propose a Dual-Attention Recurrent Network (DRN) which uses a hard attention mechanism to allow the model to focus on small, but task-relevant, parts of the input image – thus reducing computational and memory costs. Furthermore, DRN naturally supports inhomogeneity between the raw input image (e.g., functional MRI) and the image we want to align it to (e.g., anatomical MRI) so it can be applied to harder registration tasks such as fMRI coregistration and normalization. Extensive experiments on two different datasets demonstrate that DRN significantly reduces the computational and memory costs compared with other neural network-based methods without sacrificing the quality of image registration.
Silicon Improves Growth and Alleviates Toxicity of Cadmium in Maize Seedlings

The protective effect of silicon against cadmium (Cd) toxicity in maize seedlings was investigated. Cd is a strong environmental pollutant that negatively affects plant growth. The seedlings were treated with Cd at 100 M for 9 days. The application of 50, 100 and 150 mM silicon was able to alleviate Cd toxicity and improve growth parameters through some mechanisms. For example, shoot and root fresh weight increased significantly from 2.47 and 1.05 g per pot to 3.11 and 1.61 g per pot, respectively. The alleviation showed by silicon adding to Cd treatment seedlings through declining in lipid peroxidation, proline and Cd uptake and rising in chlorophyll, carotenoid, shoot and root fresh and dry weight and relative water content compared to Cd-stressed seedlings, significantly. _____________________________________________________________________________________________________________
Effect of Different Irrigation Sources on Growth, Yield and Heavy Metals Accumulation in Tomato and Okra

Field experiments were conducted to investigate the effects of different irrigation sources (canal, tube-well and sewage) on growth, yield and heavy metal uptake of two summer vegetables i.e. tomato and okra. Growth attributes (plant height, number of leaves, relative leaf chlorophyll content and leaf area) and yield components (number of fruits / pods per plant and fruit size) of okra and tomato were significantly increased with sewage water application. Lesser growth and yield of the studied vegetables was recorded with tube-well water. Use of sewage water improved total yields and fresh and dry plant biomass production of both the vegetables. Significantly higher and lower lead (Pb), copper (Cu), cadmium (Cd), nickel (Ni), chromium (Cr) and iron (Fe) contents were recorded in edible parts of the sewage and tube-well water irrigated vegetables, respectively. Edible parts (tomato fruits and okra pods) of the sewage water irrigated vegetables exhibited heavy metals contents above the maximum permissible limits. Leaf and root samples of the sewage water irrigated tomato and okra also contained significantly greater metals contents as compared to those irrigated with canal and tube-well water. It is concluded that vegetables irrigated with sewage water produced greater yields but these were found contaminated with heavy metals.
Anterior Cruciate Ligament Injury Prevention for Female High School Athletes

T he incidence of anterior cruciate ligament (ACL) injuries in female athletes has been well documented. By one account, there have been more than 2,000 scientific articles authored on the subject of ACL injuries (12). Research has suggested that the number of ACL injuries in female athletes is 3 to 6 times higher than their male counterparts (1–3). It has been suggested that a majority of ACL injuries are noncontact in nature (2,5). Many of these injuries occur because of multiplane knee loadings associatedwithmaneuvers in sports, such as decelerating, change of direction, and jump landings (4). Research also suggests that the mechanism for causing these types of injuries is due to knee valgus, hip internal rotation, and tibial external rotation during these types of sports maneuvers (5,6,9).
Immediate effect of kinesio tape on gait symmetry in patients with stroke: a preliminary study

Purpose. Asymmetrical gait pattern usually occurs in patients with stroke. It contributes to excessive energy expenditure during movement and leads to injury and risk of fall. More symmetry, therefore, is set as a goal of gait restoration. The aim of the study was to explore the immediate effect of Kinesio Tape (KT) on gait symmetry and to investigate the correlation of motor function and gait symmetry. Methods. Ten patients with stroke and foot drop were objectively examined for temporo-spatial and kinematic variables with a 3D motion analysis system. Assessments were performed before and immediately after taping. KT was applied with the inhibition technique for the ankle plantar flexor muscle and with the functional correction technique for the ankle dorsiflexion and eversion. symmetry indices (sI) of the temporo-spatial and kinematic variables were calculated to present gait symmetry between the affected and unaffected sides. correlations between motor function established with the Fugl-Meyer assessment for lower extremity (FMA-LE) with sI of the temporo-spatial and kinematic variables before and after taping were investigated. Results. Improvements of step length and step time symmetry were found after taping. In addition, more symmetry of the single support time, hip extension, knee flexion, and ankle plantar flexion angles was observed, but the difference was not significant. A significant correlation of FMA-LE was reported with sI of step length but not of the other variables. Conclusions. KT positively affected gait symmetry in patients with stroke suffering from foot drop.
A Comparative Study of Classification Techniques for Fraud Detection

There is large volume of data generated each day and the handling such large volume of data is very cumbersome. The generated data is stored in huge databases which can be retrieved as per the user. There are large sized repositories and databases generated in which the data can be stored. However, the retrieval of important data from such large databases is a major concern. There are numerous tools presented which can help in extracting useful information from the databases as per the requirement of users. The mechanism through which the data can be stored and extracted efficiently as per the requirement is known as data mining. This review paper studied about the classification techniques on the basis of different types of algorithms like Decision tree, Naïve bayes, Rule based, K-NN(K Nearest Neighbour), Artificial Neural Network. It describe the uses of various classification algorithm for develop a predictive model which is useful in different fields like Software fault prediction , credit card fraud analytics, and intrusion detection, medical and so on with respect to accuracy during the past few years. Keywords— Classification Approaches, Decision Tree, Naïve Bayes, Rule based, K-NN and Neural Network __________________________________________________*****_________________________________________________
A Giant Unilocular Thymic Cyst with Symptoms Mimicking Coronary Heart Disease Semptomlari Koroner Arter Hastaliğini Taklit Eden Dev Uniloküler Timik Kist

Iletisim Bilgisi / Correspondence Yard. Doc. Dr. Mehmet Guzeloglu, Izmir Universitesi Medicalpark Hastanesi, Kalp Damar Cerrahisi Anabilim Dali E-posta: islandc2007@hotmail.com Gelis tarihi / Received: Temmuz / July 20, 2012; Kabul tarihi / Accepted: Agustos / Agust 16, 2012 Cikar Catismasi / Conflict Of Interest: Yok /None 186 A Giant Unilocular Thymic Cyst with Symptoms Mimicking Coronary Heart Disease
Trigger Point Injection

What is myofascial pain? Trigger points are a type of myofascial pain. Myofascial pain is caused by the muscle itself and/or the fascia (a type of connective tissue) that attaches to the muscle. Sometimes myofascial pain feels like muscle tension. Other times it can be severe pain. The pain can be in a small area. This is called local pain. The pain can also be in a large area. This is called referred pain. Myofascial pain can occur in all body regions. The picture shows areas where trigger points can occur and where these trigger points can refer pain.
Estimating the Short Term Impacts of a Fruit Fly Eradication Program in Peru: A Geographical Regression Discontinuity Approach

In this paper, we evaluate the short term impacts of a Fruit Fly Eradication Program in the coastal areas of Peru. Exploiting arbitrary variation in the program’s intervention borders, as well as precise geographic location data of farmer’s households, we use a Geographical Regression Discontinuity (GRD) approach to identify the program’s effects on farmer-level agricultural outcomes. Our baseline data shows that producer and farmlevel pre-treatment characteristics in treated and control areas are balanced. This confirms that the intervention borders were set only as a function of the program ́s exogenous financial and logistic restrictions and independently of the pest incidence levels and/or other producer and/or farm characteristics. Our follow up results indicate that famers in treated areas improved their knowledge about the pest and are more likely to implement best practices for plague prevention and control. These farmers also significantly increased fruit crops production and sales, likely as a result of higher productivity and improved market access. The robustness of our findings is also confirmed by two placebo tests: first, effects are only observed for fruit crops, i.e. the ones affected by the eradicated pest; second, no similar patterns can be detected in the evaluated outcomes during the pre-treatment period.
Cadrisme within a Kaleckian Model of Growth and Distribution

The 1990s, specially in the United States, have witnessed an unprecedented change in income distribution, with a large redistribution towards rentiers on the one hand, and towards the upper ranks of the managerial bureaucracy on the other hand, as became ever more obvious after the financial scandals affecting large corporations such as Enron and Worldcom. This has also been accompanied by large capital gains that benefited top-file managers as well as shareholders. Ordinary employers and workers, as a counterpart, have seen their real purchasing power stagnate. Despite all this, and in contrast to the predictions of the canonical Kaleckian growth model, many countries achieved respectable growth rates of capital and output. The purpose of the present paper is to explain this paradox and to provide a consistent Kaleckian model of growth that would model the main features identified above, making a distinction between managerial labour, basically overhead labour, and workers, essentially direct labour. The model is based on target-return pricing procedures. We then study the implications of cadrisme, a managerial-friendly regime based on large pay packages for the managerial class.
Visfatin concentration in patients with newly-diagnosed glucose metabolism disorders

Amac : Visfatin, visseral adipoz doku tarafindan salgilanan, insulin-mimetik etkileri olan ve plazma glukoz seviyelerini dusuren hucre ici bir enzimdir. Yeni tani konulan glukoz metabolizma bozukluklarinda visfatinin rolu ile ilgili yapilan calismalar sinirlidir. Bu calismanin amaci bozulmus aclik glukozu ve bozulmus glukoz toleransi olan hastalarda visfatin serum konsantrasyonunu degerlendirmektir. Gerec ve yontem: Anormal glukoz metabolizmasi tanisi alan 57 hasta, oral glukoz tolerans testi (OGTT) sonuclarina gore bozulmus aclik glukozu (BAG) (n = 39) ve BAG+ bozulmus glukoz toleransi (BGT) (n = 18) olarak alt gruplara ayrildi. Kontrol grubu, normal glukoz toleransi olan ve herhangi bir metabolik bozuklugu olmayan 44 saglikli bireyden olusuyordu. Tum katilimcilarin serum lipidleri, yuksek duyarli CRP, urik asit, glikolize hemoglobin (HbA1c) ve serum visfatin duzeyleri olculdu . Bulgular: BAG grubunun visfatin duzeyi 93.92 ± 12.95, BAG + BGT grubunun 37.79 ± 29.36, kontrol grubunun 43.96 ± 38.57 idi. Gruplarin serum visfatin duzeyleri arasinda istatistiksel olarak anlamli fark vardi (p <0.001). BAG grubunun ortalama visfatin duzeyi, BAG + BGT ve kontrol gruplarindan istatistiksel olarak daha yuksekti (sirasiyla p <0.001, p <0.001). BAG + BGT grubunun visfatin duzeyi kontrol grubununkinden dusuktu, ancak aradaki fark istatistiksel olarak anlamli degildi (p = 0.785). Visfatin duzeyleri toplam kolesterol, HDL, LDL, hsCRP, ferritin ve HbA1c duzeyleri ile negatif korelasyon gosterdi, TG, HOMA-ir ve BMI degerleri ile pozitif korelasyon gosterdi, ancak bu iliĢkiler istatistiksel olarak anlamli degildi. Sonuc: BAG olan hastalarin visfatin duzeyleri saglikli kontrollerden daha yuksekti, ancak visfatin seviyeleri HOMA-ir, BMI, TG, HDL, LDL, hsCRP, ferritin, MPV, HbA1c ve kolesterol duzeyleri arasinda anlamli korelasyon saptanmadi.
Understanding Exception-Related Bugs in Large-Scale Cloud Systems

Exception mechanism is widely used in cloud systems. This is mainly because it separates the error handling code from main business logic. However, the huge space of potential error conditions and the sophisticated logic of cloud systems present a big hurdle to the correct use of exception mechanism. As a result, mistakes in the exception use may lead to severe consequences, such as system downtime and data loss. To address this issue, the communities direly need a better understanding of the exception-related bugs, i.e., eBugs, which are caused by the incorrect use of exception mechanism, in cloud systems. In this paper, we present a comprehensive study on 210 eBugs from six widely-deployed cloud systems, including Cassandra, HBase, HDFS, Hadoop MapReduce, YARN, and ZooKeeper. For all the studied eBugs, we analyze their triggering conditions, root causes, bug impacts, and their relations. To the best of our knowledge, this is the first study on eBugs in cloud systems, and the first one that focuses on triggering conditions. We find that eBugs are severe in cloud systems: 74% of our studied eBugs affect system availability or integrity. Luckily, exposing eBugs through testing is possible: 54% of the eBugs are triggered by non-semantic conditions, such as network errors; 40% of the eBugs can be triggered by simulating the triggering conditions at simple system states. Furthermore, we find that the triggering conditions are useful for detecting eBugs. Based on such relevant findings, we build a static analysis tool, called DIET, and apply it to the latest versions of the studied systems. Our results show that DIET reports 31 bugs and bad practices, and 23 of them are confirmed by the developers as "previously-unknown" ones.
Transactions of the TSME

T. Emaru1,* H. Sato2 Y. Kobayashi1 1 Faculty of Engineering, Hokkaido University, N13W8, Sapporo, Hokkaido 0608628, Japan 2 Graduate school of Engineering, Hokkaido University, N13W8, Sapporo, Hokkaido 0608628, Japan ABSTRACT: Time-of-flight ranging methods are generally utilized to measure distance using an ultrasonic wave sensor. However, faint reflected waves tend to be overlooked by this method. We have proposed an integration-type ultrasonic wave sensor that effectively uses faint reflected waves. This paper proposes a local-behavior determination method for autonomous mobile robots using a sonar ring, which consists of multiple integration-type ultrasonic wave sensors. This sonar ring can reduce the sensing time because it simultaneously obtains information from multiple directions. We apply our previously developed pathgeneration method to an omnidirectional mobile robot. Generally, the objective of a mobile robot is to reach a target position as quickly as possible. At the same time, the robot is required to avoid collisions with obstacles. Therefore, it needs to slow down to safely bypass obstacles in high-obstacle-density environments. This paper also proposes a method for controlling the velocity of the robot by generating the target acceleration. Our proposed method takes the upper limit of the input torque into account. Experimental results show that in the presence of obstacles in the vicinity of the mobile robot, the proposed method can decrease the velocity of the mobile robot in order to avoid collision with obstacles.