Miracle-dz/UniFAR-FTUs huggingface dataset:
Two States Mapping Based Neural Network Model for Decreasing of Prediction Residual Error

The objective of this paper is to design a model of human vital sign prediction for decreasing prediction error by using two states mapping based time series neural network BP (back-propagation) model. Normally, lot of industries has been applying the neural network model by training them in a supervised manner with the error back-propagation algorithm for time series prediction systems. However, it still has a residual error between real value and prediction output. Therefore, we designed two states of neural network model for compensation of residual error which is possible to use in the prevention of sudden death and metabolic syndrome disease such as hypertension disease and obesity. We found that most of simulations cases were satisfied by the two states mapping based time series prediction model compared to normal BP. In particular, small sample size of times series were more accurate than the standard MLP model. We expect that this algorithm can be available to sudden death prevention and monitoring AGENT system in a ubiquitous homecare environment. Keywords—Neural network, U-healthcare, Prediction, Time series, CAP (Computer Aided prediction).
The Importance of Promoting Digital Literacy in Higher Education

At a time when there is free access to a multitude of information, the knowledge society entails the development and mobilisation of a set of competencies of selection and application of this knowledge in a reasoned and conscious way. It is in this context that higher education should develop its activities, and it is widely recognised that digital literacy encompasses the essential and transversal abilities to any higher level training, that translate into a good preparation for a successful future professionalization. However, sometimes this does not happen; hence, this short communication seeks to reflect on this problem that is central to the training activity in higher education, analysing some implications of this situation, as well as recommendations.
Game style in soccer: what is it and can we quantify it?

Game style is a term commonly used by coaches, sports scientists, performance analysts and media to refer to patterns of play in team sports. Despite these pervasive references there is not a definition for game style and consequently there has never been any attempt to measure game style. Recently there has been momentum to investigate team sports as dynamical systems and to understand how players interact in various contextual environments and circumstances. These interactions, particularly successful, dominant or recurrent patterns, are likely to be important in forming a game style or at least play a part in our perceptions of a game style. This article proposes an initial framework of variables that can be measured and used to describe game style. The framework is based on metrics within five key moments of play: (1) Established Attack, (2) Transition from Attack to Defense, (3) Established Defense, (4) Transition from Defense to Attack, and (5) Set Pieces. These metrics have practical applications for coaches and practitioners when evaluating efforts to create or compare game styles. More importantly, however, they may allow performance analysts to categorise and monitor game styles over time, across leagues and age groups, and provide a deeper understanding of dynamic interactions in invasion-based field sports.
Azilsartan Increases Levels of IL-10, Down-Regulates MMP-2, MMP-9, RANKL/RANK, Cathepsin K and Up-Regulates OPG in an Experimental Periodontitis Model

Aims The aim of this study was to evaluate the effects of azilsartan (AZT) on bone loss, inflammation, and the expression of matrix metallo proteinases (MMPs), receptor activator of nuclear factor κB ligand (RANKL), receptor activator of nuclear factor κB (RANK), osteoprotegerin (OPG), cyclooxygenase-2 (COX-2), and cathepsin K in periodontal tissue in a rat model of ligature-induced periodontitis. Materials and Methods Male Wistar albino rats were randomly divided into 5 groups of 10 rats each: (1) nonligated, water; (2) ligated, water; (3) ligated, 1 mg/kg AZT; (4) ligated, 5 mg/kg AZT; and (5) ligated, 10 mg/kg AZT. All groups were treated with saline or AZT for 10 days. Periodontal tissues were analyzed by histopathology and immunohistochemical detection of MMP-2, MMP-9, COX-2, RANKL, RANK, OPG, and cathepsin K. Levels of IL-1β, IL-10, TNF-α, myeloperoxidase (MPO), and glutathione (GSH) were determined by ELISA. Results Treatment with 5 mg/kg AZT resulted in reduced MPO (p<0.05) and IL-1β (p<0.05), increased levels of IL-10 (p<0.05), and reduced expression of MMP-2, MMP-9, COX-2, RANK, RANKL, cathepsin K, and increased expression of OPG. Conclusions These findings reveal that AZT increases anti-inflammatory cytokines and GSH and decreases bone loss in ligature-induced periodontitis in rats.
Achieving Energy Efficiency with Transmission Pushbacks in Sensor Networks

In sensor networks, application layer QoS requirements are critical to meet while conserving energy. One of the leading factors for energy wastage is failed transmission attempts due to channel dynamics and interference. Existing techniques are unaware of the channel dynamics and lead to suboptimal channel access patterns. We propose a MAC layer solution called pushback, that appropriately delays packet transmissions to overcome periods of poor channel quality and high interference, while ensuring that the throughput requirement of the node is met. It uses a hidden Markov model (HMM) based channel model that is maintained without any additional signaling overhead. The pushback algorithm is shown to improve the packet success rate by up to 71% and reduce the number of transmissions needed by up to 38% while ensuring the same throughput.
‘It’s not that we like death or anything’: exploring the motivations and experiences of visitors to a lighter dark tourism attraction

ABSTRACT This paper explores motives for visiting a lightest dark (heritage) tourism attraction. Semi-structured interviews were undertaken with 24 visitors to the London Dungeon. Few visitors reported an interest in death, suffering or the macabre as important in their decision to visit, a finding which accords with research at a range of other types of darker places. Instead, most people visited from general or incidental reasons that were unrelated to the attraction’s theme. However, while few visitors stated that an interest in learning was important in their reason for visiting, many reported that an element of informal education and discovery was an important part of the visit experience. As such, lighter dark tourism is about more than entertainment and the London Dungeon offers opportunities for visitors to engage with the themes and stories in a deeper way. Overall, these findings suggest that lightest dark tourism has more in common with heritage tourism than at first appears.
Group Decision Process Supported by Web Enabled Small Screen Devices

In what concerns decisions making process, troupe are obtaining gradually a major role, either as form of information accomplishment, or in the scope of participative management, or even as result of requirement to improvement group efficiency in organizations. It is in this context that group decisions support systems (GDSS) is being subject of study by several researchers. However, the technological development in the PDAs, as well as, the generalization of its use, had enforced its use also in the context group decision support. Here, we make a proposal that has as main intention to support ideas generation and voting tasks. The system proposed here is based on the traditional GDSS, but with the advantage of being accessed by PDA in a Web environment
CS 269 I : Incentives in Computer Science Lecture # 7 : Selfish Routing and Network Over-Provisioning ∗

This lecture discusses incentive issues in shortest-delay, or “selfish,” routing. The mathematical model was originally proposed for road networks (where drivers constitute the traffic), but it is also relevant for communication networks (where data packets constitute the traffic). Shortest-path routing is common in local area networks. Routing in the Internet (between different local networks) is done a bit differently, as we’ll see in Lecture #8.
Specific Treatment for Lysosomal Storage Disorders: Enzyme Replacement Therapy, Bone Marrow Transplant and Others

In this article, we review specific therapies that tackle the basic biochemical defects of lysosomal storage diseases. These include bone marrow transplantation, substrate deprivation therapy, enzyme replacement therapy and enzyme enhancement therapy. We particularly update the progress of development of enzyme replacement therapy, which plays a major role in the treatment of lysosomal storage diseases. Nowadays, enzyme products have been developed and marketed for treatment of Gaucher disease, Fabry disease, mucopolysaccharidosis I and currently there are ongoing trials of enzyme replacement for the treatment of glycogen storage disease II, mucopolysaccharidosis II and VI and Niemann-Pick B disease. Enzyme replacement therapy has a definite role in treatment of lysosomal storage diseases as it can ameliorate the signs and symptoms of the diseases. However, there are certain limitations. Enzyme replacement therapy is ineffective in improving or preventing neurological involvement. Response to treatment is slow in some situations, for example, bone involvement in Gaucher disease. It may also be unpredictable in other situations, for example, lung involvement in Gaucher disease. Hence, there is room for incorporation of other treatment modalities. One example is provided by mucopolysaccharidosis type I, in which bone marrow transplantation has a definite role as it prevents psychomotor retardation when carried out before significant brain damage occurs.
Influence of gap extrema on the tunneling conductance near an impurity in an anisotropic superconductor.

We examine the effect of an impurity on the nearby tunneling conductance in an anisotropically gapped superconductor. The variation of the conductance has pronounced spatial dependence which depends strongly on the Fermi surface location of gap extrema. In particular, different gap symmetries produce profoundly different spatial features in the conductance. These effects may be detectable with a scanning-tunneling-microscope study of the surface of a high-temperature superconductor.
Endovascular Mechanical Thrombectomy in Basilar Artery Occlusion: Initial Experience

Objective This study was conducted to assess the efficacy and safety of endovascular mechanical thrombectomy (EMT) for patients diagnosed with basilar artery (BA) occlusion. Materials and Methods We retrospectively analyzed clinical and imaging data of 16 patients diagnosed with BA occlusion who were treated with endovascular intervention from July 2012 to February 2013. Direct suction using the Penumbra system and thrombus retrieval by the Solitaire stent were the main endovascular techniques used to restore BA flow. The outcomes were evaluated based on rate of angiographic recanalization, rate of improvement of National Institutes of Health Stroke Scale (NIHSS) score, rate of modified Rankin Scale (mRS) at discharge and after 3 months, and rate of cerebral hemorrhagic complications. Successful recanalization was defined as achieving Thrombolysis In Cerebral Infarction (TICI) of II or III. Results Sixteen patients received thrombectomy. The mean age was 67.8 ± 11 years and the mean NIHSS score was 12.3 ± 8.2. Eight patients treated within 6 hours of symptom onset were grouped as A and the other 8 patients treated beyond 6 hours (range, 6-120) were grouped as B. Successful recanalization was met in six patients (75%) for group A and 7 (87.5%) for group B. Favorable outcome occurred in 4 patients (50%) for group A and 5 (62.5%) for group B. Conclusion Our study supports the effectiveness and safety of endovascular mechanical thrombectomy in treating BA occlusion even 6 hours after symptom onset.
Aging of the hypothalamic-pituitary-adrenal axis in nonhuman primates with depression-like and aggressive behavior

We have investigated aging of the hypothalamic-pituitary-adrenal (HPA) axis in female rhesus monkeys that differ in adaptive behavior. Plasma cortisol (F) and dehydroepiandrosterone sulfate (DHEA-S) concentrations under basal conditions and under acute psycho-emotional stress were evaluated in blood plasma of young (6-8 years) and old (20-27 years) female rhesus monkeys with various types of adaptive behavior (aggressive, depression-like, and average). We have found that the age-related changes in the HPA axis of monkeys with depression-like behavior were accompanied by the maximal absolute and relative hypercortisolemia under both basal conditions and stress. Moreover, young aggressive monkeys, in comparison with young monkeys of other behavior groups, demonstrated the highest plasma levels of DHEA-S and the lowest molar ratios between F and DHEA-S. Thus, age-related dysfunctions of the HPA axis are associated with adaptive behavior of animals.
Concepts and Analyses in the CT Scanning of Root Systems and Leaf Canopies: A Timely Summary

Non-medical applications of computed tomography (CT) scanning have flourished in recent years, including in Plant Science. This Perspective article on CT scanning of root systems and leaf canopies is intended to be of interest to three categories of readers: those who have not yet tried plant CT scanning, and should find inspiration for new research objectives; readers who are on the learning curve with applications—here is helpful advice for them; and researchers with greater experience—the field is evolving quickly and it is easy to miss aspects. Our conclusion is that CT scanning of roots and canopies is highly demanding in terms of technology, multidisciplinarity and big-data analysis, to name a few areas of expertise, but eventually, the reward for researchers is directly proportional!
Effect of glucocorticoid status on clock gene expression in components of the hypothalamic-pituitary-adrenal axis

This thesis explores the role of glucocorticoids in entraining the rhythmicity of clock gene expression in components of the hypothalamic-pituitary-adrenal (HPA) axis, specifically the paraventricular nucleus (PVN) of the hypothalamus and the anterior pituitary. Physiological and behavioral circadian rhythms rely on molecular oscillators inside cells of living organisms. Rhythmic expression of associated clock genes is dependent on the hypothalamic suprachiasmatic nucleus (SCN), which is synchronized to the light/dark cycle with an intrinsic rhythm near 24 hours. Extra-SCN brain regions and peripheral tissues in the body have been shown to have molecular clocks; interestingly, the SCN has sparse direct neural input in these regions. Previous research has indicated that glucocorticoids (CORT) are able to entrain clock gene rhythmicity in peripheral tissues, suggesting the SCN may synchronize peripheral clocks through a diurnal expression of CORT. Little work has been done to explore this possible mechanism of entrainment in the brain but has been characterized in periphery where CORT has been shown to cause a phase shift, induce, or abolish clock gene expression in tissues such as liver and kidney. This thesis characterizes clock gene expression in response to three different CORT profiles: antiphasic CORT treated, phasic CORT treated, and vehicle treated in adrenalectomized rats. We found that expression of clock genes Per1 and Per2 varied with CORT treatment in both the PVN and anterior pituitary, but also that CORT influenced genes differently in the two regions. The results suggest that CORT may have a permissive effect in the periphery, necessary for clock gene expression, but has an entraining effect in the brain. This study was an important step in understanding the role of CORT in HPA axis regulation and disruption. Such disruptions and dysregulation of the HPA have been observed in numerous conditions such as Posttraumatic Stress Disorder, Major Depressive Disorder, and sleep disorders.
Physiologically motivated audio-visual localisation and tracking

An audio-visual localisation and tracking system for meeting scenarios is presented which draws its inspiration from neurobiological processing. Meetings are recorded by a KEMAR binaural manikin and a single camera placed directly above the manikin. Source localisation from the binaural audio and face, object and motion locations from the video frames are used as input to two linked neural oscillator networks. The strength of the connections between the two networks determines the mapping between activity at a particular audio azimuth and activity at a particular visual frame column. A Hebbian learning rule is used to establish the connection strengths. The combined network segments the video and audio features and then produces audio-visual groupings on the basis of common spatial location. The audio-visual groupings are tracked through time using a mechanism based upon that of the human oculomotor system which incorporates smooth pursuit and saccadic movement.
A Call for Self-Compassion in Social Work Education

ABSTRACTMany social work students approach the end of their formal training unprepared to utilize self-care approaches to prevent burnout. Providing students more comprehensive self-care training can help address this issue. One approach to fostering self-care and addressing stress and burnout in social work students is the attitude and practice of self-compassion (SC; i.e., compassion directed inward). Training in SC can be helpful, as it has been shown to be effective in addressing stress and burnout, as well as enhancing practice. This article explores the benefits of integrating an SC approach within professional social work education. A definition, review of the SC literature, and a conceptual sketch for integrating SC approaches in social work education are presented.
Trust-Based Anonymous Communication for malicious user disclosure in Mobile Ad Hoc Networks

Security is a major concern while implementing Mobile Ad Hoc Networks (MANET) for communication in an adverse environment. The dynamism in network topology and the absence of centralized administration, MANET is susceptible to security attacks from malicious users. This paper introduces the concept of anonymity for an informant who identifies and discloses anonymously the malicious behavior of other users in the network. This paper proposes the Trust-Based Anonymous Communication Technique (TACT) to provide anonymity for an informant and liability for the malicious users who attempt to misuse the anonymity property. The TACT restrains the misuse of anonymity in such a way that any user not sending cooperation message utmost once, upon receiving warnings two times is identified and also any user sending multiple cooperation messages per warning per malicious behavior type will also be termed as malicious user. The proposed technique is designed based on “broadcast with trapdoor information” a cryptography concept to monitor the users and to report malicious users to the network anonymously. The simulation results prove the necessity of anonymity in MANET and the effectiveness of this protocol in achieving such anonymity.
APPLYING PROPOSITIONAL LEARNING TO TIME SERIES PREDICTION

In this paper we present some work on trying to apply propositional learning systems to the problem of time series prediction. We describe the difficulties of trying to adapt classification systems to prediction problems. Some techniques to perform this adaptation are presented. These techniques are based on the introduction of new attributes that convey relevant information about the temporal behavior of a time series. These strategies are evaluated on some time series problems. Results indicate that the predictive performance strongly depends on the used set of attributes and that the best set is domain-dependent. Automatic strategies for finding the optimal set of attributes are sketched out. Experiments were carried out in order to compare our performance to the one obtained by other types of methods in the same data sets. The results compare reasonably to other methods, although indicating that more work needs to be done before machine learning-based systems can compete with other techniques on prediction problems.
Percolation on finite graphs and isoperimetric inequalities

Consider a uniform expanders family Gn with a uniform bound on the degrees. It is shown that for any p and c>0, a random subgraph of Gn obtained by retaining each edge, randomly and independently, with probability p, will have at most one cluster of size at least c|Gn|, with probability going to one, uniformly in p. The method from Ajtai, Komlos and Szemeredi [Combinatorica 2 (1982) 1–7] is applied to obtain some new results about the critical probability for the emergence of a giant component in random subgraphs of finite regular expanding graphs of high girth, as well as a simple proof of a result of Kesten about the critical probability for bond percolation in high dimensions. Several problems and conjectures regarding percolation on finite transitive graphs are presented.
Aquaporin3 Is Required for FGF-2-Induced Migration of Human Breast Cancers

Purpose The aquaporin (AQP) family consists of a number of small integral membrane proteins that transport water and glycerol. AQPs are critical for trans-epithelial fluid transport. Recent reports demonstrated that AQPs, particularly AQP1 and AQP5, are expressed in high grade tumor cells of a variety of tissue origins, and that AQPs are involved in cell migration and metastasis. Based on this background, we examined whether AQP3, another important member of the AQP family, could facilitate cell migration in human breast cancers. Methods Potential role of AQP3 was examined using two representative breast cancer cell lines (MDA-MB-231 and Bcap-37). Briefly, AQP3 expression was inhibited with a lentivirus construct that stably expressed shRNA against the AQP3 mRNA. AQP3 expression inhibition was verified with Western blot. Cell migration was examined using a wound scratch assay in the presence of fibroblast growth factor-2 (FGF-2). In additional experiments, AQP3 was inhibited by CuSO4. Fibroblast growth factor receptor (FGFR) kinase inhibitor PD173074, PI3K inhibitor LY294002, and MEK1/2 inhibitor PD98059 were used to dissect the molecular mechanism of FGF-2 induced AQP3 expression. Results FGF-2 treatment increased AQP3 expression and induced cell migration in a dose dependent manner. Silencing AQP3 expression by a lentiviral shRNA inhibited FGF-2 induced cell migration. CuSO4, a water transport inhibitor selective for AQP3, also suppressed FGF-2-induced cell migration. The FGFR kinase inhibitor PD173074, significantly inhibited FGF-2-induced AQP3 expression and cell migration. The PI3K inhibitor LY294002 and MEK1/2 inhibitor PD98059 inhibited, but not fully blocked, FGF-2-induced AQP3 expression and cell migration. Conclusions AQP3 is required for FGF-2-induced cell migration in cultured human breast cancer cells. Our findings also suggest the importance of FGFR-PI3K and FGFR-ERK signaling in FGF-2-induced AQP3 expression. In summary, our findings suggest a novel function of AQP3 in cell migration and metastasis of breast cancers.