Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Prefetching Algorithm in Mobile Environments

Since the beginning of the years 2000, one attends a huge spreading of mobile systems. One of the most important problems is the efficient access to data. A proposed solution to this problem is the prefetching technique which consists in putting in reserve the information before the users need it. This information is stored in the user's mobile device cache (PDA, handheld device, portable PC, etc.). This technique takes into account the user's location and allows to send the relevant data and to reject the non-relevant ones. The main goal is to allow the users to have access permanently -in the next displacement-to available information in an almost immediate way. Besides, the data prefetching permits it to improve the performances of the cache’s use and allows an adaptation of the mobile devices having limited resources, and also to take into account the prediction of the possible and the most relevant way how users will request information. This approach is considered to deal with these problems and to improve response time and reduce the amount of data to mobile devices users. This work concerns a new technique called « directed prefetching », particularly adapted to information available for location-dependent mobile systems managing large volume of data, the considered study case is mobile tourism for city of Fez.
AD-PLL for WiMAX with Digitally-Regulated TDC and Glitch Correction Logic

This paper describes the design of an All-Digital Phase Locked Loop (AD-PLL) for wireless applications in the WiMAX 3.3–3.8 GHz bandwidth. The time/digital converter (TDC) sets the in-band noise and it may be responsible for the presence of spurious tones at the PLL output. The TDC is implemented as a delay-locked loop (DLL) to be insensitive to process spreads and it uses a lead-lag phase detector and a digital loop filter to further take advantage of the digital approach. The most important source of spurs is identified in the time skew between counter and TDC in the PLL. This mechanism gives rise to a glitch in the digital feedback signal and spurs in the output spectrum. A simple glitch-corrector logic is described, that completely removes this effect, thus allowing to meet the phase noise specifications. The AD-PLL has been designed in a 90 nm CMOS process.
Use of 18F-Fluorodeoxyglucose Positron Emission Tomography in Patients with Rare Head and Neck Cancers

Objectives The clinical utility of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) has been demonstrated in major head and neck cancers (HNCs) but is unclear in rare HNCs. We therefore evaluated FDG PET in the management of patients with rare HNCs. Methods FDG PET and CT/MRI scanning were performed at the initial staging and/or the follow-up in 24 patients with rare HNCs, 10 with melanoma, 9 with sarcoma, 3 with olfactory neuroblastomas, and 2 with basal cell carcinoma. The diagnostic accuracy of CT and FDG PET for detecting primary tumors and metastases were compared with a histopathologic reference. The association between the PET results and the clinicopathologic parameters predicting tumor invasion, histologic grade and disease-free survival (DFS), was assessed. Results The overall accuracies of FDG PET and CT/MRI were 92% and 79%, respectively, for detecting primary tumors and 91% and 74%, respectively, for nodal metastases, but the differences were not significant due to the small number of patients. The sensitivity and specificity of FDG PET for detecting distant metastases and second primary tumors were 100% and 87%, respectively. Follow-up FDG PET correctly diagnosed locoregional recurrence in all 12 patients, as shown by biopsy, and distant metastases in 6 patients. However, thickness of melanoma, histologic grade of sarcoma, and DFS were not associated with tumor FDG uptake. Conclusion FDG PET may be useful for staging, posttreatment monitoring, and detection of distant metastases and second primary tumors in patients with rare HNCs.
Sovereignty, exchange rate and the Euro crisis

This paper presents an interpretation of the European crisis based on the balance of payments imbalances within the Eurozone and highlighting the role of the 'internal' real exchange rates as a primary cause of the crisis. It explores the structural contradictions that turn the Euro into a 'foreign currency' for each individual Eurozone country. These contradictions imply the inability of national central banks to monetize the public and private debts, which makes the Euro crisis a sovereign crisis similar to those typical of emerging countries, but whose solution presents additional obstacles.
Correlations between Low-Frequency Quasi-periodic Oscillations and Spectral Parameters in XTE J1550–564 and GRO J1655–40

Utilizing observations obtained with the Rossi X-Ray Timing Explorer, we examine correlations between the properties of 0.08-22 Hz variable-frequency quasi-periodic oscillations (QPOs) and the X-ray spectral parameters for the black hole candidates XTE J1550-564 and GRO J1655-40. The spectra were fitted to a model including a multitemperature blackbody disk and a power-law component. We find that the QPO frequency and amplitude are well correlated with the spectral parameters, although the correlations found for XTE J1550-564 are generally opposite to those for GRO J1655-40. There is one exception: both sources exhibit a general increase in the QPO frequency as the disk flux increases (or as the rate of mass accretion through the disk increases). In addition, these QPOs are observed only when the power-law component contributes more than 20% of the 2-20 keV flux, which indicates that both the disk and the power-law components are linked to the QPO phenomenon.
Prospector : A Dynamic Data-Dependence Profiler To Help Parallel Programming

Multiprocessor architectures are increasingly common these days. In order to fully and efficiently utilize the abundant hardware parallelism, translating many sequential programs into parallel programs is a pressing need. Although many compilers support automatic parallelization, most programmers are still manually parallelizing their applications. To help parallelizing applications especially legacy programs written by other programmers, we propose Prospector. Prospector is a profile-based parallelism identification tool using dynamic data dependence profiling results. It also advises on how to parallelize the identified sections. We demonstrate that Prospector is able to discover potentially parallelizable loops that are missed by state-of-the-art production compilers. We illustrate its potential on guiding parallel programming for programmers who did not know serial code. This paper also discusses technical challenges on implementing Prospector.
An underactuated robot with a hyper-articulated deployable arm working inside an aircraft wing-box

We propose a novel concept for the actuation of a hyper-articulated robot arm for assembly operations inside an aircraft wing-box. The wing-box has a large span, but is only accessible through multiple small portholes along its length. The arm should be compact enough to enter the wing-box through the small portholes, yet capable of subsequent reconfiguration so as to access a number of assembly points inside the wing-box. Traditional electromechanical actuators powering individual joints are unsuitable for our purpose, because of limited space and large payload requirements. We propose an underactuated system which uses a single actuator at the base for the deployment of a multi d.o. f. serial linkage structure. Our proposed system exploits gravitational and gyroscopic torques in the system dynamics to rapidly deploy the system. We develop a methodology for determining the input required for a desired output trajectory and verify the results through simulation.
Neural modeling of Gene Regulatory Network using Firefly algorithm

Genes, proteins and other metabolites present in cellular environment exhibit a virtual network that represents the regulatory relationship among its constituents. This network is called Gene Regulatory Network (GRN). Computational reconstruction of GRN reveals the normal metabolic pathway as well as disease motifs. Availability of microarray gene expression data from normal and diseased tissues makes the job easier for computational biologists. Reconstruction of GRN is based on neural modeling. Here we have used discrete and continuous versions of a meta-heuristic algorithm named Firefly algorithm for structure and parameter learning of GRNs respectively. The discrete version for this problem is proposed by us and it has been applied to explore the discrete search space of GRN structure. To evaluate performance of the algorithm, we have used a widely used synthetic GRN data set. The algorithm shows an accuracy rate above 50% in finding GRN. The accuracy level of the performance of Firefly algorithm in structure and parameter optimization of GRN is promising.
A novel method to secure cloud computing through multicast key management

Cloud computing is the technology that uses the internet and central remote servers to maintain data and applications. Cloud computing allows consumers and businesses to use applications without installation and access their personal files at any computer with internet access. This technology allows for much more efficient computing by centralizing storage, memory, processing and bandwidth. In this security is an important issue to provide a security for this cloud we introduce a novel method for securing cloud by providing multicast key for each user. It will be a dynamic session key which will vary in the time of period. Whenever a new user enters into the cloud the new key will be generated. It will withstand for a time period. After that time period the user should renew the key for the further usage of the cloud.
Convective Precursors and Predictability in the Tropical Western Pacific

Abstract Conditions leading to convective outbreak in the Tropics are investigated by multivariate analysis of sounding and satellite data from the tropical western Pacific area. Circumstances that make the prediction problem difficult are discussed and addressed by applying linear “error-in-variables” and nonlinear statistical simulation techniques to a large dataset. Low- to midtropospheric moisture is identified as the dominant factor regulating convective outbreak in this region. Based on the results it is argued that such moisture is particularly important in regulating spontaneous convective outbreak, but instability and near-surface wind speed probably play some role in allowing previous shallow or midtopped cumulus activity to deepen. Mesoscale-mean convective available potential energy sufficient for convection is found to exist almost 90% of the time. Quantitative estimates of noise in the data are obtained and accounted for in reaching these conclusions. The results imply that large-scale mean .
Diversity of Structural Mitral Valve Alterations in Hypertrophic Cardiomyopathy

BackgroundHypertrophic cardiomyopathy (HCM) is characterized by an asymmetrically hypertrophied left ventricle and is regarded as a disease of cardiac muscle. Methods and ResultsTo assess the possibility that the mitral valve itself may be involved in the disease process, we studied mitral valves from 94 patients with HCM and 45 normal control subjects. The area of the mitral leaflets was increased in patients with HCM compared with control subjects (12.9±3.7 versus 8.7±2.0 cm2; p<0.001). For the overall group of patients, this increase was largely caused by an increase in anterior leaflet length (2.2 ±0.5 cm for HCM versus 1.8±0.3 cm for control subjects; p <0.001), because circumference did not differ between the two groups. Mitral leaflet area was increased (.12.0 cm2) in 55 58%) of the 94 valves. In 12 of these 55 valves, both the anterior and posterior leaflets were enlarged; the other 43 valves had asymmetrical or segmental enlargement of either the anterior leaflet (36 patients) or portion of posterior leaflet (seven patients). In addition, nine patients had a congenital malformation of the mitral apparatus in which one or both papillary muscles inserted directly into anterior mitral leaflet mitral valve area was normal in seven of the nine). ConclusionsSixty-two (66%) of 94 mitral valves had a constellation of structural malformations, including increased leaflet area and elongation of the leaflets or anomalous papillary muscle insertion directly into anterior mitral leaflet. These findings expand the morphological definition of HCM by demonstrating that the disease process is not confined to cardiac muscle but rather many patients also have structural abnormalities of the mitral valve that are unlikely to be acquired or secondary to mechanical factors.
A New Hierarchical Identity-based Signature Scheme From Lattices In The Standard Model

Hierarchical identity-based signature (HIBS), which plays an important role in large communities, is a generalization of identity-based signature (IBS). In this paper, we present a new HIBS scheme from lattices without random oracles. The new scheme is proven to be strongly unforgeable against selective identity attacks under the standard hardness assumption of the short integer solution (SIS) problem. Furthermore, the secret key size and the signature length of our scheme are both invariant and much shorter than those of the previous lattice-based HIBS schemes. To the best of our knowledge, our construction is the flrst short lattice-based HIBS scheme in the standard model.
Temporal stability of eccentric Taylor–Couette–Poiseuille flow

Abstract The combined effects of axial flow and eccentricity on the temporal stability properties of the Taylor–Couette system are investigated using a pseudospectral method. Eccentricity is found to stabilize the Couette flow regardless of axial advection intensity. As the axial Reynolds number ${\mathit{Re}}_{z} $ is increased for any fixed eccentricity $e\leq 0. 7$ , the critical mode switches from deformed toroidal Taylor vortices to helical structures with an increasing number of waves, and with helicity opposed to the inner-cylinder rotation. For a wide-gap configuration of radius ratio $\eta = 0. 5$ , increasing axial advection has a stabilizing effect for low ${\mathit{Re}}_{z} $ , then a weak destabilizing effect for high enough ${\mathit{Re}}_{z} $ . Centrifugal effects are always destabilizing, but axial shear is responsible for the dominance of helical modes of increasing azimuthal complexity. The modes localize in the converging gap region, and the energy concentrates increasingly into axial motion for larger ${\mathit{Re}}_{z} $ . Critical quantities are also computed for a small-gap case, and similar trends are observed, even though no destabilizing effect of advection is observed within the range of ${\mathit{Re}}_{z} $ considered. Comparison with the experiment of Coney & Mobbs (Proc. Inst. Mech. Engrs, vol. 184 Pt 3L, 1969–70, pp. 10–17) for $\eta = 0. 89$ shows good agreement, despite small discrepancies attributed to finite length effects.
The Role of Glia and the Immune System in the Development and Maintenance of Neuropathic Pain

Neuropathic pain refers to a variety of chronic pain conditions with differing underlying pathophysiologic mechanisms and origins. Recent studies indicate a communication between the immune system and the nervous system. A common underlying mechanism of neuropathic pain is the presence of inflammation at the site of the damaged or affected nerve(s). This inflammatory response initiates a cascade of events resulting in the concentration and activation of innate immune cells at the site of tissue injury. The release of immunoactive substances such as cytokines, neurotrophic factors, and chemokines initiate local actions and can result in a more generalized immune response. The resultant neuroinflammatory environment can cause activation of glial cells located in the spinal cord and the brain, which appear to play a prominent role in nociception. Glial cells, also known as neuroglia, are nonconducting cells that modulate neurotransmission at the synaptic level. Glial cells can be subdivided into two primary categories: microglia and macroglia, which include astrocytes and oligodendrocytes. Astrocytes and microglia are known to play a role in the development, spread, and potentiation of neuropathic pain. Following peripheral nociceptive activation via nerve injury, microglia become activated and release pro‐inflammatory cytokines such as tumor necrosis factor‐α, interleukin‐1β, and interleukin‐6, thereby initiating the pain process. Microglia propagate the neuroinflammation by recruiting other microglia and eventually activating nearby astrocytes, which prolongs the inflammatory state and leads to a chronic neuropathic pain condition. Our review focuses on the role of glia and the immune system in the development and maintenance of neuropathic pain.
A location-based personalized news recommendation

Personalized news article recommendation provides interesting articles for a user based on the users' preference. With increasing use of hand-held devices the interests of users are reflected by their location. Therefore, we propose a novel method to incorporate the location into a user preference for the personalized news recommendation. The proposed method, a topic model based on LDA, represents the user preference with not only the news articles read by user but the locations of the user. By representing the user preference differently over her location, it suggests the news articles which are appropriate the user location. In the evaluation of the proposed method compared to the LDA, it outperforms in topic quality both quantitative and qualitative evaluation. In addition, the experimental result on news article recommendation shows that the location based user preference improves the performance of news article recommendation.
ECONOMICS AND POLICY CONTEXT FOR THE BIOLOGICAL MANAGEMENT OF SOIL FERTILITY (BMSF) IN ETHIOPIA

Many developing countries implement programs and policies to increase or maintain soil fertility, with the objectives of increased crop yields and decreased poverty. However, few countries give emphasis to the biological management of soil fertility (BMSF) compared to more traditional approaches. Ethiopia emphasizes the use synthetic fertilizers to increase food security and reduce poverty, with little attention to BMSF. This paper examines the long term fertilizer consumption and agricultural productivity response trend and discusses the potential for BMSF to promote agricultural productivity and reduce poverty in Ethiopia. The paper also discusses the Economics and Policy Context for BMSF for the well functioning of the ecosystem. To do so, we used long-term fertilizer consumption and crop productivity national data as well as data from several studies carried in Amhara Region near Bahir Dar. The methods include analysis of soil chemical properties for various land uses (crops, pastures, and forest) household surveys, focus group discussions and a review of pertinent literature. Aggregate data indicate increasing fertilizer use but stagnant crop yields. The lowest carbon and nitrogen levels in soil are for crop land, followed by grassland and forest. Continuous cultivation, removing crop residue and using cow dung for cooking rather than fertilization probably are responsible for the low values on cropland. At 1.49 percent threshold of carbon content, crop yields cannot be optimized through use of synthetic fertilizer alone. The household survey and focus group discussions suggest that farmers use of synthetic fertilizer to be minimal due to many and complicated factors. Surveys also indicated that all productive land in surveyed watershed was under cultivation, limiting the potential to increase crop production through expanding cultivated area. Thus, technologies and practices to increase yield per ha are needed. BMSF should be investigated further for its potential to increase agricultural production in Ethiopia, to reduce poverty and to achieve food security.
Embodied well-being through two media technologies: Virtual reality and social media

How the body is perceived through media is key to many well-being interventions. Researchers have examined the effects of platforms on users’ self-perceptions, including immersive virtual reality, nonimmersive virtual worlds, and social media such as Facebook. In this article, we use several conceptions of levels of embodiment to compare empirical work on the effects of virtual reality and social media as they relate to perceptions and conceptions of the self and body. We encourage social media researchers to utilize research on embodiment in virtual reality to help frame the effects of social media use on well-being. Similarly, researchers in immersive media should consider the opportunities and risks that may arise as embodied experiences become more social. We conclude our discussion with implications for future applications in mental health.
Effective VoIP call routing in WLAN and cellular integration

In cellular-WLAN integration, a dual-mode mobile station (MS) typically disables the WLAN module for power saving. A major problem is that for an incoming VoIP call (or data session), the MS will not be able to receive this call from the WLAN. It turns out that the call is directed to the cellular network. This letter proposes a simple push solution where an MS can accurately detect a VoIP call from paging signaling of the cellular network. Then the WLAN module of the MS is turned on and the VoIP call is connected to the MS through the relatively inexpensive WLAN.
Tocotrienol Nanoemulsion Platform of Curcumin Elicit Elevated Apoptosis and Augmentation of Anticancer Efficacy against Breast and Ovarian Carcinomas

Vitamin E (VE) tocotrienols (T3), recognized for their cancer-specific anti-proliferative and pro-apoptotic activities, have been previously fabricated into bio-active nanoemulsion (NE) formulations. Here, our viscosity-adapted δ-T3 NE platform was developed to additionally incorporate curcumin (CUR), which is known for its potent suppression of signaling pathways involved in malignant cell growth, survival and metastasis. Thanks to efficient 70:30 wt % surfactant mix of Lutrol F-127:VE-TPGS, in conjunction with optimal CUR loading, a prototype CUR in δ-T3 NE was successfully prepared. Model CUR/δ-T3 NE demonstrated excellent nano-scale aspects (mean particle size = 261 nm, PDI = 0.27, and ζ-potential = −35 mV), pharmaceutical stability, and controlled release properties. Suitability for systemic administration was also verified via standardized in vitro biocompatibility and hemocompatibility assays. In two human cancer cells (MCF-7 and OVCAR-8), our CUR/δ-T3 NE prominently suppressed constitutive NF-κB activation, and significantly induced apoptosis. Finally, the combined CUR/δ-T3 NE produced superior cytotoxicity profiles, in concentration- and time-dependent manners (p ≤ 0.05), at least three to four folds lower IC50 than in closest CUR control. The strong synergism, estimated in both cultured carcinomas, revealed the augmented therapeutic efficacy of our CUR/δ-T3 NE combined platform, supporting its strong potential towards pharmaceutical development for cancer therapy.
Collision-driven physical-layer identification of RFID UHF tags

In this paper, we develop novel physical-layer identification schemes for passive Radio Frequency IDentification (RFID) tags. Due to the collision among tags, existing RFID systems suffer from a low identification efficiency. In this paper, we propose to use the unique physical-layer information of tags as the identification basis. We design a batch identification scheme for passive tags. Our Scheme can fully utilize the collided signals to achieve efficient and trustworthy identification. Leveraging collided signals, we also propose an AoA-based spatial identification scheme for providing location service. Our scheme are seamlessly compatible with commercial off-the-shelf RFID devices. The initial result shows the feasibility of our proposals.