Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Mining and its Application in Recommender Systems based on Tensor Decomposition Method

Data mining is the process of arranging and classifying massive data and revealing the related information. Nowadays, data mining is utilized as a highly significant means for managers to understand more precisely the situation of their organization and help with decision making. Utilization of recommender systems is a modern technique to examine the data available in an organization with the use of powerful tools. Challenges involved with the dataset of these systems have intensified the complexities of decision making, such that most effective variables are unknown and the relationship between them is nonlinear and complicated. In such a condition, traditional devices cannot be employed to analyze data and derive knowledge from them; therefore, utilizing matrix analysis and then tensor decomposition has been preferred in recent years compared to other methods. In the present study, time is considered as the third dimension of tensor and an independent factor. The results indicate that using time is effective in reducing estimation error.
Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

Zusammenfassung Künstliche neuronale Netze als Methoden der künstlichen Intelligenz (KI) können der Endoskopie neue Möglichkeiten eröffnen, etwa im Sinne einer automatischen Polypenerkennung oder der präzisen Vorhersage des histopathologischen Befunds einer Läsion anhand ihres endoskopischen Bildes. Während erste Versuche tatsächlich ein weitreichendes Potenzial erahnen lassen, leiten sich öffentliche und medial transportierte Erwartungen häufig mehr von einer abstrakten Faszination als von der detaillierten Funktionsweise der Methoden ab. Dieser Artikel soll anhand einer selektiven Literaturübersicht ein intuitives Verständnis der Methoden vermitteln und helfen, die Lücke zwischen Funktion und Faszination zu schließen, um Potenzial und Grenzen dieser Techniken im Bereich der Endoskopie realistisch abschätzen zu können. Mit ihrem Erfolg bei der maschinellen Klassifikation von Bildern haben insbesondere „tiefe neuronale Netze“ der KI nach jahrzehntelanger Forschung zu rasant anwachsendem Interesse verholfen. Wir umreißen kurz die diesbezüglichen Entwicklungen und die Gründe für ihre Bedeutung weit über die Informatik hinaus. Durch den Vergleich von maschinellem und menschlichem Sehen wird ein Verständnis der detaillierten Funktionsweise dieser Methoden und ihrer Erfolge bei Seh-Aufgaben vermittelt. Darauf aufbauend analysieren wir die Funktionsweise jüngst demonstrierter Anwendungen in Hinblick auf methodische Perspektiven und Grenzen, die Aussagekraft bisher erbrachter Leistungsnachweise und die Notwendigkeit weiterer Tests. Zudem geben wir einen Eindruck von weiteren, konkret absehbaren Einzelanwendungen und besprechen, welchen Charakter diese dem Einsatz der künstlichen Intelligenz in der Endoskopie insgesamt geben könnten.
Aero−structural Optimization of Shape Memory Alloy-based Wing Morphing via a Class/Shape Transformation Approach

Because of the continuous variability of the ambient environment, all aircraft would benefit from an in situ optimized wing. This paper proposes a method for preliminary design of feasible morphing wing configurations that provide benefits under disparate flight conditions but are also each structurally attainable via localized active shape change operations. The controlled reconfiguration is accomplished in a novel manner through the use of shape memory alloy embedded skin components. To address this coupled optimization problem, multiple sub-optimizations are required. In this work, the optimized cruise and landing airfoil configurations are determined in addition to the shape memory alloy actuator configuration required to morph between the two. Thus, three chained optimization problems are addressed via a common genetic algorithm. Each analysis-driven optimization considers the effects of both the deformable structure and the aerodynamic loading experienced by the wing. Aerodynamic considerations are addressed via a two-dimensional panel method and each airfoil shape is generated by the so-called class/shape transformation methodology. It is shown that structurally and aerodynamically feasible morphing of a modern high-performance sailplane wing produces a 22% decrease in weight and significantly increases stall angle of attack and lift at the same landing velocity when compared to a baseline design that employs traditional control surfaces.
Plumbagin as a mutli-target drug in treatment of cancer: A review

Cancer is the fastest growing disease and leading cause of death in the world. Several drugs are available for the treatment of cancer with their merits and demerits, but not a single molecule is available which claims to cure cancer completely. Plumbagin (PL) is a napthoquinone derivative which is obtained as secondary metabolite from plumbago plant family, plumbaginaceae. Plambago plants are the flowering plants naturally occurring in Asia, Plumbago zeylanica specially found in India. Previously it was known as “chitraka” (in Ayurveda) whose root extracts were used for the treatment of dyspepsias, piles and diarrhoea. PL found to arrest the cell proliferation, metastasis and growth in various in-vitro and in-vivo studies Several researchers showed that PL modulates cytokines like interleukins, nuclear factor kappa B (NF-kB), tumour necrosis factor alpha (TNF-α), reactive oxygen species (ROS), phosphatidyl-inositol 3 kinase (PI3K) & p38 mitogen-activated protein kinase (MAPK), DNA degradation, jun n-terminal kinase (JNK), protien kinase-C (PKc), mechanistic target of rapamycin (mTOR) and signal transducers and activators of transcription (STAT) which are key player in the growth and development of normal cell at molecular level. PL found to arrest rapidly dividing cells, due to these features and activities, PL can be used in treatment of different kinds of cancers. This article provides an overview on the anti-cancer mechanism and speciality of a single agent PL, as a multi-target molecule obtained from plumbaginous plant in treatment of various types of cancer. Keywords: Plumbagin, Multi-target, Anticancer, Apoptosis.
The Role of Rehabilitation Professionals in Care Transitions for Older Adults: A Scoping Review

Abstract Aim: To identify existing theories and conceptual models that inform care transition interventions and to explore whether the role of rehabilitation professionals is explicitly stated or implied in these theories and models. Methods: We searched multiple databases and included articles published from 2000 to 2018, with distinct mention of care transitions of older adults (>65 years) from one care setting to another. Result: Two theories (Middle Range Theory and System of Care Philosophy), and six conceptual models (Coleman’s Model, 4Cs of Transitional Model, Quality Cost Model of Advanced Practice Nurses Transitional Care, Health Belief Model, Care Transition Framework, Ideal Transition in Care) were identified in 13 of the 21 articles; however, only one conceptual model in an opinion paper illustrated the role of a physiotherapist in care transition. Conclusion: Most of the models, frameworks and theories that inform care transition interventions did not explicitly consider the role of RPs.
IMAGE RANK TO LARGE-SCALE IMAGE SEARCH: INSPIRATION, INFLUENCES AND APPROACHES

The fast development of internet applications and increasing popularity of modern digital gadgets leads to a very huge collection of image database. Commercial image search engines provide results depending on text based retrieval process. However, it frequently finds irrelevant results, because the search engines use the insufficient, indefinite and irrelevant textual description of database images. In the paper, image ranking techniques for large data base are discussed. The PageRank algorithm is used for improving ranking of search query, depending on link structure of web pages. There are many methods like Topic Sensitive PageRank, Content Based Image Retrieval (CBIR), VisualSEEK were used for the quality image-retrieval. VisualRank offers an additional attribute for image search, by finding “authority” node on visual resemblance graph, among images.
Emergent Carotid Stenting Plus Thrombectomy After Thrombolysis in Tandem Strokes: Analysis of the TITAN Registry.

Background and Purpose Emergent carotid artery stenting plus mechanical thrombectomy is an effective treatment for acute ischemic stroke patients with tandem occlusion of the anterior circulation. However, there is limited data supporting the safety of this approach in patients treated with prior intravenous thrombolysis (IVT). We aimed to investigate the safety of emergent carotid artery stenting-mechanical thrombectomy approach in stroke patient population treated with prior IVT Methods —We assessed patients with acute ischemic stroke because of atherosclerotic tandem occlusion that were treated with emergent carotid artery stenting-mechanical thrombectomy approach from the multicenter observational Thrombectomy in Tandem Lesions registry. Patients were divided into 2 groups based on pretreatment IVT (IVT versus no-IVT). Intracerebral hemorrhages were classified according to the European Cooperative Acute Stroke Study II criteria. Results Among 205 patients included in the present study, 125 (60%) received prior IVT. Time from symptoms onsetto-groin puncture was shorter (234±100 versus 256±234 minutes; P=0.002), and heparin use was less in the IVT group (14% versus 35%; P<0.001); otherwise, there was no difference in the baseline characteristics. There was no significant difference between the IVT and no-IVT groups in the rate of symptomatic intracerebral hemorrhage (5% versus 8%; P=0.544), parenchymal hematoma type 1 to 2 (15% versus 18%; P=0.647), successful reperfusion (modified Thrombolysis in Cerebral Ischemia 2b–3), or 90-day favorable outcome (modified Rankin Scale score of 0–2 at 90 days). The 90-day all-cause mortality rate was significantly lower in the IVT group (8% versus 20%; P=0.017). After adjusting for covariates, IVT was not associated with symptomatic intracerebral hemorrhage or 90-day mortality Conclusions Emergent carotid artery stenting-mechanical thrombectomy approach was not associated with an increased risk of hemorrhagic complications in tandem occlusion patients who received IVT before the intervention.
A New Approximated VC Scheme to Prevent D-DoS Attack against Networks of ASes

Distributed denial of service (D-DoS) attacks continue to threaten the reliability of networking systems. An efficient way to prevent D-DoS Attack is to install filters at AS (Autonomous System) border routers. This requires to find minimum number of filters to cover the network or an optimal VC(Vertex Cover). It is an NP-complete problem. A heuristic algorithm called approximated VC scheme[1] has appeared in the literature. However, the sizes of the VCs resulting from the scheme tend to be much larger than those of the optimal VCs. We propose a new approximated VC scheme which improves the scheme[1] in the sizes of resulting VCs. The basic idea behind our scheme is to sort the nodes in non increasing order of the degree(number of links connecting the node) and install the filters in that order until the whole network is covered. Our simulation shows that the proposed scheme is able to prevent D-DoS Attack with the size of VC 26% less than the approximated VC algorithm. [1].
A Study on Email Spam Filtering Techniques

Electronic mail is used daily by millions of people to communicate around the globe and is a mission-critical application for many businesses. Over the last decade, unsolicited bulk email has become a major problem for email users. An overwhelming amount of spam is flowing into users‟ mailboxes daily. Not only is spam frustrating for most email users, it strains the IT infrastructure of organizations and costs businesses billions of dollars in lost productivity. The necessity of effective spam filters increases. In this paper, we presented our study on various problems associated with spam and spam filtering methods, techniques. General Terms Spam, spam filtering
Preserved functional networks in a hydrocephalic mouse

Hydrocephalus is a brain condition characterized by enlarged ventricles, due to an excess of cerebrospinal fluid. Although it is known to affect cognition, development, gait, and mood, the impact of hydrocephalus on large-scale functional brain organization is poorly documented. Here, we present results on a single spontaneous occurrence of severe hydrocephalus observed in a 3xTgAD mouse, compared to a control cohort of 3xTgAD littermates. Resting-state functional magnetic resonance imaging analysis, carried out under light anesthesia, revealed the remarkable presence of functional connectivity (FC) resembling the common mouse resting-state networks (RSNs). Four main components were identified in the hydrocephalic mouse, attributable to the Default Mode network, Salience network, and sensorimotor networks. Characteristic features of the RSNs in the hydrocephalic mouse were found to be well preserved, both in spatial distribution and in FC magnitude, despite the severity of the pathology. This is the first documented case of resting-state fMRI conducted on a mouse affected by severe hydrocephalus. The surprising presence of resting-state networks was found to be comparable to littermate controls, highlighting a remarkable functional resilience in the hydrocephalic brain.
GP213 The effect of structured pyhsical activity on sleep and mental health in severe autistic children

Introduction Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterizing deficits in social communication skills and restricted repertoire of interests, behaviors and atypical sensory reactivity(APA 2013). Children with ASD suffer from sleep problems, particularly insomnia, at a higher rate than typically developing children (Cortesi F et al,2010). It is known that sleep disturbances cause behavioral, affective and cognitive mental health problems. In this study we investigate the effect of structured pyhsical activity on sleep and mental health in severe autistic children. Methods Thirty-six children who have severe autistic disorder according to Children’s Autism Rating Scale participiated the study.Structured pyhsical exercise applied 6 months one by one all these children.Before beginning the physical exercise programme and after the programme we evaluated autistic children with Aberrant Behavior Checklist(ABC), The Children’s Sleep Habits Questionnaire(CSHQ). SPSS 18.0 was used for statistical analyses. Results The children with ASD were between 7–17 years old and the mean age was 12,5±2,1 years old. There was significant difference in total scores of ABC before and after structured physical activity(p=0.05, z=-1.918). The mean scores of Hyperactivity-Non compliance subscale were declined significantly after physical activity(p=0.045, z=-2.000). The rate of clinically significant sleep problems was 80.6%before activity and the rate was 66.7%after activity. There were statistically significant differences in total CSHQ scores before and after structured physical activity (p=0.01, z=-3.470). The mean scores of Bedtime Resistance(p=0.01 z=-3.128) and parasomnias subscale(p=0.29, z=-2187) were declined statistically significant after physical activity. Discussion In this study the rate of sleep problems is very high about 80% among severe autistic children as similar to literature(Cortesi F et al,2010). We found that sleep resistance and parasomnias were declined after phycical activity. Also the hyperactivity behaviors get better after activity.Tatsumi et al (2015) found associations between phycical activity and the quality of sleep were different depending on when the PA occurred. High levels of morning and afternoon activity were associated with early sleep onset among ASD children. High-level morning and afternoon activity should be encouraged to improve the sleep quality of children with ASD.Identifying and treating sleep disorders may result not only in improved sleep, but also impact favorably on daytime behavior and family functioning(Cortesi F et al,2010). Future studies are needed have larger groups and control subjects must be done to clarify the positive effect of activity on sleep and behavior.
GREATFREE : THE JAVA AP IS AND IDIOMS TO PROGRAM LARGE -SCALE DISTRIBUTED SYSTEMS

This paper introduces a series of APIs and idioms in Java SE (Java Standard Edition), GreatFree, to program large-scale distributed systems from scratch without adopting any third party frameworks. When programming with GreatFree, developers are required to take care of rather than be invisible to most of the implementation issues in a distributed system. It not only strengthens developers’ skills to polish a system but also provides them with the techniques to create brand new and creative systems. However, taking care of many such issues is a heavy load because of the low-level of Java SE. To alleviate the burden to program with Java SE directly, GreatFree provides numerous APIs and idioms in Java SE to help programmers resolve indispensable distributed problems, such as communication programming, serialization, asynchronous and synchronous programming, resource management, load balancing, caching, eventing, requesting/responding, multicasting, and so forth. Additionally, as an open source tool to program, developers are able to strengthen their systems through not only adjusting GreatFree parameters but also upgrading GreatFree APIs and idioms themselves. According to the current intensive experiments, it is convenient for developers to program an ordinary or a large-scale distributed system from scratch with GreatFree.
Process Mining Tools: A Comparative Analysis

Process mining is an emerging topic that has attracted the attention of both researchers and vendors. As a result, several process mining solutions have become available on the market. Even though the development of the process mining field and the number of systems available is a positive thing, problems also arise. The most significant one is, perhaps, the lack of standardization and the fact that these tools use their own standards and naming. This can become rather confusing for a process mining user when deciding what is the most suitable system for a task at hand. In this thesis, we propose an evaluation framework that is used to assess the strengths and the weaknesses of process mining tools. We apply the framework in practice for evaluating four process mining systems: ARIS PPM, Flow, Futura Reflect, and ProcessAnalyzer. The framework is based on a collection of use cases. A use case consists of a typical application of process mining functionality in a practical situation. The set of use cases was collected based on the functionality available in ProM and was validated by conducting a series of ten semi-structured interviews with process mining users and by handing out a survey. The validated collection of use cases formed the base of our tool evaluation. For the actual evaluation, we created for each use case four dimensions: a brief description, a practical example of a situation in which the use case can be employed, a set of assumptions made with respect to the event log used to test the use case’s support, a set of acceptance criteria for deciding whether the use case is available or not in a system. Another part of the evaluation framework is the set of artificially generated event logs that were used to assess the support of the use cases. Next to the use cases-based evaluation, we also test the performance limitations of the systems and we look at several extra functionalities, which are not covered by the collection of use cases (e.g. import and export capabilities, integration with external systems, etc.). Additionally, we discuss the behavior of the tools when analyzing event logs stemming from two real-life processes.
Benefits of the use of natural user interfaces in water simulations

The use of natural user interfaces instead of conventional ones has become a reality with the emergence of 3D motion sensing technologies. However, some problems are still unsolved (for example, no haptic or tactile feedback); so this technology requires careful evaluation before the users can benefit from it. We argue, that the best benefits can be achieved when these natural user interface technologies are combined with classical computer interaction devices such as mouse and keyboard. In our demonstration, we will show how the LEAP Motion controller can be applied in environmental modeling when combined with the shallow water flow model engine D-Flow Flexible Mesh and a 3D scientific visualization library. We will analyze where the new approach provides benefits compared to the classical computer input devices such as mouse and keyboard. We will also demonstrate a number of visualization and interaction techniques used during manipulation of model input data (bathymetry, roughness, etc.) or during exploration of the results of a running morel.
Unsupervised video-based lane detection using location-enhanced topic models

An unsupervised learning algorithm based on topic models is presented for lane detection in video sequences observed by uncali- brated moving cameras. Our contributions are twofold. First, we introduce the maximally stable extremal region (MSER) detector for lane-marking feature extraction and derive a novel shape descriptor in an affine invariant manner to describe region shapes and a modified scale-invariant feature transformdescriptortocapturefeatureappearancecharacteristics.MSER features are more stable compared to edge points or line pairs and hence provide robustness to lane-marking variations in scale, lighting, viewpoint, and shadows. Second, we proposed a novel location-enhanced proba- bilistic latent semantic analysis (pLSA) topic model for simultaneous lane recognition and localization. The proposed model overcomes the limita- tion of a pLSA model for effective topic localization. Experimental results on traffic sequences in various scenarios demonstrate the effectiveness and robustness of the proposed method. C 2010 Society of Photo-Optical Instru-
The Blood Compatibility Challenge

Despite >50 years of study, there are no materials that are considered truly nonthrombogenic. Some materials minimize protein adsorption or cell adhesion while others actively inhibit thrombin generation through heparinization. Nonetheless the problem of biomaterial associated thrombogenicity remains. While once an active area of research, the problem has not only not been solved, it has also been largely abandoned. It is considered too hard or efforts attack only one particular aspect of the problem or more broadly new ideas and approaches have not been brought to bear. This frustration has led to a series of review papers where we summarize the features of broad agreement and provide commentary on those aspects of the problem that were subject to dispute. These are (see also Figure 1): 1. Blood-contacting medical devices: The scope of the problem; 2. Protein adsorption phenomena governing blood reactivity; 3. Material associated activation of blood cascades and cells; 4. Surface modification for hemocompatible materials: passive and active approaches to guide blood-material interactions. We were inspired by the structure of the >1500 year old book of Jewish laws, called the Talmud, in which commentaries are layered on commentaries to interpret and reinterpret a biblical law. It takes the form of a record of discussions pertaining to Jewish law, ethics, philosophy, customs and history. Here we began with what we believed to be a generally accepted truth regarding thrombogenicity and then added our thoughts and commentaries regarding with respect to aspects that were not as scientifically firm as the opening "truth. " We hope that future investigators will update these reviews as new scholarship resolves the uncertainties of today.