Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Search Over Encrypted Data in Cloud Computing

Nowadays cloud computing is widely used by users and organization to get benefit of many services in cloud. Huge datasets in cloud persuade users to outsource their information and documents to the untrusted Cloud Service Provider (CSP). On the other hand, there are some privacy and security problems in cloud storage considering as main drawbacks of extending it among users. One of the solutions for providing confidentiality of data in cloud storage is encrypting data before sending to cloud. This satisfies data confidentiality and makes users feel more confidence on the CSP. However, this prevents user to search the outsourced documents directly. Regular encryption algorithms such as AES, RC4 and DES mechanisms have searching limitation, in which the whole ciphertext needs to be retrieved and then decrypt before search procedure can be performed. Recently a lot of research has been done to enable search capabilities for users. Generally, keyword based search approach is used. This approach allows users to retrieve just those documents contain special keywords. However, searchable encryption algorithms suffer from privacy and security problems. This paper proposes Secure Searchable Based Asymmetric Encryption (SSAE) algorithm that provides Indistinguishability under Adaptive-Chosen Ciphertext Attack. The proposed searchable encryption algorithm is mathematically proven secure and it has the ability to perform a search within encrypted data without decrypting them.
Sarcopenia, a Neurogenic Syndrome?

Sarcopenia is an aging-associated condition, which is currently characterized by the loss of muscle mass and muscle strength. However, there is no consensus regarding its characterization hitherto. As the world older adult population is on the rise, the impact of sarcopenia becomes greater. Due to the lack of effective treatments, sarcopenia is still a persisting problem among the global older adults and should not be overlooked. As a result, it is vital to investigate deeper into the mechanism underlying the pathogenesis of sarcopenia in order to develop more effective therapeutic interventions and to inscribe a more uniform characterization. The etiology of sarcopenia is currently found to be multifactorial, and most of the pharmacological researches are focused on the muscular factors in aging. Although the complete mechanism underlying the development of sarcopenia is still waiting to be elucidated, we propose in this article that the primary trigger of sarcopenia may be neurogenic in origin based on the intimate relationship between the nervous and muscular system, namely, the motor neuron and its underlying muscle fibers. Both of them are affected by the cellular environment and their physiological activity.
Cytoplasmic inheritance of oligomycin resistance in Chinese hamster ovary cells

Oligomycin-resistant clones were isolated from Chinese hamster ovary cells by treatment of cells with ethidium bromide, followed by mutagenesis with ethylmethane sulfonate and selection in oligomycin. One clone (Olir 8.1) was chosen for further study. Olir 8.1 cells grow with doubling time similar to that of wild-type cells, whether grown in the presence or absence of drug (doubling time of 13-14 h). In plating efficiency experiments, Olir 8.1 cells are approximately 100-fold more resistant to oligomycin than are wild-type cells. There is approximately a 32-fold increase in the resistance to inhibition by oligomycin of the mitochondrial ATPase from Olir 8.1 cells. The electron transport chain is functional in Olir 8.1 cells. Oligomycin resistance is stable in the absence of selective pressure. There is little or no cross-resistance of Olir 8.1 cells to venturicidin and dicyclohexylcarbodiimide, other inhibitors of the mitochondrial ATPase, or to chloramphenicol, an inhibitor of mitochondrial protein synthesis. Oligomycin resistance is dominant in hybrids between Olir 8.1 cells and wild-type cells. Fusions of enucleated Olir 8.1 cells with sensitive cells and characterization of the resulting "cybrid" clones indicates that oligomycin resistance in Olir 8.1 cells is cytoplasmically inherited.
Cost-Effectiveness of Recombinant Tissue Plasminogen Activator in the Management of Acute Ischemic Stroke: A Systematic Review

Background and Purpose This work was undertaken to review the current cost-effectiveness analysis data on thrombolysis by intravenous (IV) therapy with recombinant tissue plasminogen activator (rtPA) for acute ischemic stroke. Methods PubMed was searched for articles published between 1995 and 2008. The cost-effectiveness analysis data from eight eligible studies were reviewed, paying particular attention to their modeling assumptions and the quality of the source data. Results The reviewed studies were from six countries: USA (n=2), UK (n=2), Canada (n=1), Australia (n=1), Spain (n=1), and Denmark (n=1); most were performed from the healthcare-system and/or societal perspectives. IV rtPA was associated with an acceptable increase in short-term cost [range: US$ 36-236/patient; US$ 29,148-55,591/quality-adjusted life-years (QALYs)], and a net long-term cost saving that was higher from a societal perspective (range: -US$ 12,043 to -US$ 630/patient; -US$ 207,253 to -US$ 21,938/QALYs) than from a healthcare-system perspective (range: -US$ 5,811 to -US$ 5,415/patient; -US$ 41,137 to -US$ 4,662/QALYs). Conclusions IV rtPA seems to be a cost-effective strategy for the management of acute ischemic stroke, and might reduce the associated healthcare costs as well as patients' disabilities. Further cost-effectiveness research and the development of a public health strategy are warranted to optimize the use of rtPA in Korea.
Learning Combinations of Multiple Feature Representations for Music Emotion Prediction

Music consists of several structures and patterns evolving through time which greatly influences the human decoding of higher-level cognitive aspects of music like the emotions expressed in music. For tasks, such as genre, tag and emotion recognition, these structures have often been identified and used as individual and non-temporal features and representations. In this work, we address the hypothesis whether using multiple temporal and non-temporal representations of different features is beneficial for modeling music structure with the aim to predict the emotions expressed in music. We test this hypothesis by representing temporal and non-temporal structures using generative models of multiple audio features. The representations are used in a discriminative setting via the Product Probability Kernel and the Gaussian Process model enabling Multiple Kernel Learning, finding optimized combinations of both features and temporal/ non-temporal representations. We show the increased predictive performance using the combination of different features and representations along with the great interpretive prospects of this approach.
Comparative Magnetic Minima : characterizing quiet times in the Sun and stars Proceedings

We show that only two adjustments are necessary to harmonize the Group Sunspot Number with the Zürich Sunspot Number. The latter being inflated from the 1940s on to the present by 20% due to weighting of sunspot counts according to size of the spots, and corrected by inflating the earlier values as well. The Group Sunspot Number before ∼1885 is too low by ∼50%. With these adjustments a single sunspot number series results. Of note is that there is no longer a distinct Modern Grand Maximum.
Maximum Sum-Rate Interference Alignment Algorithms for MIMO Channels

Alternating minimization algorithms are typically used to find interference alignment (IA) solutions for multiple-input multiple-output (MIMO) interference channels with more than K=3 users. For these scenarios many IA solutions exit, and the initial point determines which one is obtained upon convergence. In this paper, we propose a new iterative algorithm that aims at finding the IA solution that maximizes the average sum-rate. At each step of the alternating minimization algorithm, either the precoders or the decoders are moved along the direction given by the gradient of the sum-rate. Since IA solutions are defined by a set of subspaces, the gradient optimization is performed on the Grassmann manifold. The step size of the gradient ascent algorithm is annealed to zero over the iterations in such a way that during the last iterations only the interference leakage is being minimized and a perfect alignment solution is finally reached. Simulation examples are provided showing that the proposed algorithm obtains IA solutions with significant higher throughputs than the conventional IA algorithms.
Towards mode selection in δ Scuti stars: regularities in observed and theoretical frequency spectra

ABSTRACT Only a fractionof the theoreticallypredicted nonradialpulsation modes haveso farbeen observed in δ Scuti stars. Nevertheless, the large number of frequencies detectedin recent photometric studies of selected δ Scuti stars allow us to look for regularitiesin the frequency spacing of modes. Mode identiﬁcations are used to interpret theseresults.Statistical analyses of several δ Scuti stars (FG Vir, 44 Tau, BL Cam and others)show that the photometrically observed frequencies are not distributed at random, butthat the excited nonradial modes cluster around the frequencies of the radial modesover many radial orders.The observed regularities can be partly explained by modes trapped in thestellar envelope. This mode selection mechanism was proposed by Dziembowski &Kr´olikowska (1990) and shown to be eﬃcient for l = 1 modes. New pulsation modelcalculations conﬁrm the observed regularities.We present the s-f diagram, which compares the average separation of the radialfrequencies (s) with the frequency of the lowest-frequency unstable radial mode (f). This provides an estimate for the logg value of the observed star, if we assume that thecenters of the observed frequency clusters correspond to the radial mode frequencies.This assumption is conﬁrmed by examples of well-studied δ Scuti variables in whichradial modes were deﬁnitely identiﬁed. Keywords: stars: oscillations – δ Scuti – stars: individual: 44 Tau – stars: individual:BL Cam – stars: individual: FG Vir
An Algorithm of Network Adapted EZW Coding Based on RTT

The situation of delay network is complex. To adjust the image coding compression ratio based on real-time network conditions can make the image transmission smooth. EZW coding is a kind of coding that supporting for progressive transmission, and suitable for network transmission. In order to adjust compression ratio according to network congestion situation and improve image transmission speed on the network, this paper proposes a EZW coding algorithm that can adjust compression rate according to TRR, a key network conditions parameter. The algorithm allows images to be transmitted on the network in quick succession. Experimental results show that the algorithm is feasible.
Does the day of the week effect exist once transaction costs have been accounted for? Evidence from the UK

This article investigates the day of the week anomaly in the FTSE 100 Share Index over an 11-year time period from 1 January 1986 to 31 December 1997. Its focus is to assess whether the day of the week effect continues to persist once transactions costs are considered. Unlike previous literature it uses the bid–ask spread as a proxy for transactions costs. It finds that once returns become robust to transactions costs the anomaly appears to fade away. It then extends the research by looking at the time-varying volatility of stock returns with use of a GARCH model. The GARCH results further support the fact that transaction costs appear to die away the day of the week anomaly in the UK Stock market.
Acute corticospinal and spinal modulation after whole body vibration

Objectives: The objective of this study was to investigate neural effects of acute whole body vibration (WBV) on lower limb muscles regarding corticospinal and spinal excitability. Methods: In 44 healthy subjects (16 f/ 28 m), motor evoked potentials (MEP) and H-reflexes in m. soleus (SOL) and gastrocnemius medialis (GM) were elicited before (t1), immediately after (t2), 2 (t3), 4 (t4) and 10 min after (t5) WBV. Results: After WBV, MEP amplitudes were significantly increased in SOL (t2+15±30%, t3+22±32%, t4+15±35%, t5+20±30%, P<0.05), but not in GM (t2+32±62%, t3+9±35%, t4+8±36%, t5+22±47%; P=0.07). Contrarily, H-reflexes were significantly reduced in SOL (t2-19±28%, t3-21±22%, t4-20±21%, t5-14±28%, P<0.05) and GM (t2-14±37%, t3-16±25%, t4-18±29%, t5-16±28%, P<0.05). Conclusions: A temporary sustained enhancement of corticospinal excitability concomitant with spinal inhibition after WBV points towards persisting neural modulation in the central nervous system. This could indicate greater neural modulation over M1 and descending pathways, while the contribution of spinal pathways is reduced.
NCPP: A Network Control Programmale Platform of Trustworthy Controllable Network

Traditional network is surprisingly fragile and difficult to manage. Yet the current solution of substantial manual configuration makes traditional network management expensive and error-prone. To solve this problem, a network control programmable platform is constructed by in this paper. The platform is consisted of a namespace, a network control primitive library, network event library, a network-wide view and a network control processing mechanism. Based on this platform, the operator can write high-level network control program to control the network abstractly. This platform adds the network protocol modules as the controlled objects into the namespace which makes the network control into a protocol-level, and reduces the complexity of network control. And the platform retains the routing table to control packet forwarding. This makes the platform scalable and compatible.
An Extended Abstract-Building an Empathic Social Robot

Humans are fascinated by the creation of robots that have similar level of emotional understanding, sensation, perception and communication capabilities. In this work, the process of creating a believable social humanoid is investigated from the aesthetic and behavioural points of view. FACE (Facial Automaton for Conveying Emotions) is a humanoid robot embedded with a believable facial display system built by David Hanson [1], [2]. As shown in Fig. 1, it aesthetically represents a realistic copy of a female head subject, both in shape and texture. The skull is 3D printed in ABS while the skin is made of FrubberTM, an extremely soft and strong silicone that makes the appearance and the mechanical properties of FACE’s skin similar to a living facial tissue. FACE robot’s facial expressions are generated as combination of servo motors actions. The correspondence between human Facial Action Units and FACE actuators is inspired by the Ekman Facial Action Coding System [3]. In the FACE’s robotic platform the facial expressions are generated by the HEFES (Hybrid Engine for Facial Expressions Synthesis) engine [4]. Through HEFES, it is possible to generate robot’s facial expressions on the basis of their “emotional coordinates” defined as pleasure and arousal [5]. To enable the robot to play a number of cognitive and communicative roles in interacting with humans, a human-based gaze control system has been developed [6]. It generates a plausible context-aware gaze movements for the robot. The developed system are driven by a dedicated cognitive architecture [7] designed on the basis of the Damasio’s theory [8]. The architecture is based on a hybrid deliberative/reactive paradigm in which a reactive subsystem controls the real-time robot lowlevel routines while a deliberative subsystem performs high-level planning tasks that require reasoning processes [9].
ON THE FIBONACCI NUMBERS OF TREES

For a graph G, Fibonacci Number of G is defined as the number of subsets of V (G) in which no two vertices are adjacent in G. In this paper, we first investigate the orderings of two classes of trees by their Fibonacci numbers. Using these orderings, we determine the unique tree with the second, and respectively the third smallest Fibonacci number among all trees with n vertices.
Probiotics and blood pressure: current insights

Gut microbiota play a significant role in host metabolic processes, and recent metagenomic surveys have revealed that they are involved in host immune modulation and influence host development and physiology (organ development). Initially, probiotics are identified as potential therapeutics to treat gastrointestinal disorders and to revitalize the disturbed gut ecosystem. Currently, studies are exploring the potential for expanded uses of probiotics for improving the health conditions in metabolic disorders that increase the risk of developing cardiovascular diseases such as hypertension. Further investigations are required to evaluate targeted and effective use of the wide variety of probiotic strains in various metabolic disorders to improve the overall health status of the host. This review addresses the causes of hypertension and the hypotensive effect of probiotics, with a focus on their mechanistic action.
"The European Council in Theoretical Perspectives: The Principals on a Fusion Path"

Since its creation in the 1970s no other institution has formed the European Union so intensively and continuously like the European Council. This “key institution” of the European Union takes nearly all major decisions for the EU and the institutional architecture and has also an academic value as a key body for testing integration related theories. This paper invites to take up and discuss a broad variety of competing classic theories (realism and intergovernmentalism, federalism, neo-functionalism) and theoretical approaches (constructivism, sociological institutionalism and fusion thesis) to characterize and explain fundamental features of the European Council. By mapping this indefinable “locus of power” in a conceptual ream this paper may also contribute to improve the understanding of the evolution of the EU system in general.
Why do general practitioners prescribe antibiotics for sore throat? Grounded theory interview study

Abstract Objectives: To understand why general practitioners prescribe antibiotics for some cases of sore throat and to explore the factors that influence their prescribing. Design: Grounded theory interview study. Setting: General practice. Participants: 40 general practitioners: 25 in the maximum variety sample and 15 in the theoretical sample. Results: General practitioners are uncertain which patients will benefit from antibiotics but prescribe for sicker patients and for patients from socioeconomically deprived backgrounds because of concerns about complications. They are also more likely to prescribe in pressured clinical contexts. Doctors are mostly comfortable with their prescribing decisions and are not prescribing to maintain the doctor-patient relationship. Conclusions: General practitioners have reduced prescribing for sore throat in response to research and policy initiatives. Further interventions to reduce prescribing would need to improve identification of patients at risk of complications and be workable in busy clinical situations. What is already known on this topic Prescribing of antibiotics for sore throat has fallen in the past 10 years General practitioners overestimate patients' expectations for antibiotics What this study adds General practitioners are uncertain who benefits most from antibiotics for sore throat and are particularly concerned about complications Maintaining the doctor-patient relationship was not the primary reason for prescribing antibiotics Doctors are mostly comfortable with their antibiotic prescribing for sore throat
Impact of Mobility and Wireless Channel on the Performance of Wireless Networks

This thesis studies the impact of mobility and wireless channel characteristics, i.e., variability and high bit-error-rate, on the performance of integrated voice and data wireless systems from network, transport protocol and application perspectives. From the network perspective, we study the impact of user mobility on radio resource allocation. The goal is to design resource allocation mechanisms that provide seamless mobility for voice calls while being fair to data calls. In particular, we develop a distributed admission control for a general integrated voice and data wireless system. We model the number of active calls in a cell of the network as a Gaussian process with time-dependent mean and variance. The Gaussian model is updated periodically using the information obtained from neighboring cells about their load conditions. We show that the proposed scheme guarantees a prespecified dropping probability for voice calls while being fair to data calls. Furthermore, the scheme is stable, insensitive to user mobility process and robust to load variations. From the transport protocol perspective, we study the impact of wireless channel variations and rate scheduling on the performance of elastic data traffic carried by TCP. We explore cross-layer optimization of the rate adaptation feature of cellular networks to optimize TCP throughput. We propose a TCP-aware scheduler that switches between two rates as a function of TCP sending rate. We develop a fluid model of the steady-state TCP behavior for such a system and derive analytical expressions for TCP throughput that explicitly account for rate variability as well as the dependency between the scheduler and TCP. The model is used to choose RF layer parameters that, in conjunction with the TCP-aware scheduler, improve long-term TCP throughput in wireless networks. A distinctive feature of our model is its ability to capture variability of round-trip-time, channel rate and packet error probability inherent to wireless communications. From the application perspective, we study the performance of wireless messaging systems. Two popular wireless applications, the short messaging service and multimedia messaging service are considered. We develop a mathematical model to evaluate the performance of these systems taking into consideration the fact that each message tolerates only a limited amount of waiting time in the system. Using the model, closed-form expressions for critical performance parameters such as message loss, message delay and expiry probability are derived. Furthermore, a simple algorithm is presented to find the optimal temporary storage size that minimizes message delay for a given set of system parameters.