Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Classification over Semantically Secure Encrypted Data

with the rapid development of web services and their popularity, web users are increasing day by day. As a result, there is a large and heterogeneous data. This data needs to be mine for various real time and other type of applications like banking, medicine, scientific research and among government agencies. Data Mining is a wider area now days due to the necessity of knowledge discovery from a different perspective on a very large scale. One of the commonly used tasks in data mining applications is the Classification. Many theoretical and practical solutions to the classification problem have been proposed in the past decades. To overcome the privacy issues, these solutions have used different security models. The current needs of IT makes the Cloud Computing comes into existence. Users can outsource their data in encrypted form and the data mining tasks to the cloud. Existing privacy preserving classification techniques are not applicable to the encrypted data on cloud. Therefore, this paper aims to solve the classification problem on encrypted data. A k-NN classifier over encrypted data in the cloud is proposed here for security purpose. The system proposes a protocol to provide the confidentiality of the data on the cloud protects privacy of user input query and hides the data access patterns on the cloud. A reliable k-NN classifier is the first over the encrypted data under the semi-honest model. Keywords— Security, k-NN Classifier, Outsourced Databases,
On the Theory of Typicality

The classical definitions of ‘expected value’ and ‘standard deviation’ may sometimes lead to quantities which fail to represent a ‘typical’ feature of a given data set, whenever this set consists of more than one cluster. The use of the fuzzy expected value (FEV) and the clustering fuzzy expected value (CFEV) also yield central tendency and in general cannot represent a typical value of the given data. In this work a new quantity—a Most Typical Value (MTV) is defined and investigated. A given fuzzy set in Rn is first clustered and replaced by a finite set of clusters. This set is then represented by a single vector—the most typical value of the set.
Chapter 8 : Nature-Based Tourism

Tourism is the largest industry in the world according to figures on employment and expenditures. Over 800 million people, the equivalent of roughly 12% of the world’s population, travel internationally each year – with many more travelling within their countries of residence. Airlines, the hotel and restaurant business, and outdoor equipment manufacturers and vendors are among the supplier industries that are highly dependent on a successful tourism sector. Tourism furthermore relies on and provides income to national infrastructures such as airports, rail systems, road networks, electric power systems, agricultural production, and water supply systems. On a more personal dimension, travelling provides individuals with the opportunity to escape temporarily from the humdrum of every-day life, to experience the novel or unknown and, possibly, to make a long-time ‘dream come true’. ‘Discovering the world’ arguably figures amongst the top life goals for many people in developed countries. Consequently, the tourism sector as a whole seems to be fairly resilient to disruptions from economic downturns, political crises, extreme weather events, or even natural disasters (UNWTO press release of 24 January 2006).
Activation of the NADPH-dependent H2O2-generating system in pig thyroid particulate fraction by limited proteolysis and Zn2+ treatment.

The NADPH-dependent H2O2-generating system in a pig thyroid particulate fraction requires micromolar concentrations of Ca2+ for activity. The H2O2 generator could be Ca(2+)-desensitized (i.e. made fully active in the absence of Ca2+) by limited proteolysis with alpha-chymotrypsin or by treatment with ZnCl2. The Zn2+ effect was temperature- and dose-dependent with an apparent half-maximum concentration of 0.15 mM at 40 degrees C. Ca2+ desensitization was not reversed by adding the Zn2+ chelators, 1,10-phenanthroline and EGTA, but about one-third of the Ca(2+)-sensitivity was recovered after addition of 10 mM-dithiothreitol. The proteolysed enzyme and the Zn(2+)-treated enzyme had different Km values for NADPH. The Zn2+ effect did not seem to involve proteolysis or membrane fusion. These results indicate that Ca2+ regulation occurs via an autoinhibitory domain or inhibitory protein component of the H2O2-generator system. Its inhibitory effect may be removed by proteolysis or conformational changes, making the catalytic site accessible to the substrate NADPH and/or enabling electrons to be transferred from NADPH to O2.
Long-term intake of dietary fiber and decreased risk of coronary heart disease among women.

CONTEXT Epidemiological studies of men suggest that dietary fiber intake protects against coronary heart disease (CHD), but data on this association in women are sparse. OBJECTIVE To examine the association between long-term intake of total dietary fiber as well as fiber from different sources and risk of CHD in women. DESIGN AND SETTING The Nurses' Health Study, a large, prospective cohort study of US women followed up for 10 years from 1984. Dietary data were collected in 1984, 1986, and 1990, using a validated semiquantitative food frequency questionnaire. PARTICIPANTS A total of 68782 women aged 37 to 64 years without previously diagnosed angina, myocardial infarction (MI), stroke, cancer, hypercholesterolemia, or diabetes at baseline. MAIN OUTCOME MEASURE Incidence of acute MI or death due to CHD by amount of fiber intake. RESULTS Response rate averaged 80% to 90% during the 10-year follow-up. We documented 591 major CHD events (429 nonfatal MIs and 162 CHD deaths). The age-adjusted relative risk (RR) for major CHD events was 0.53 (95% confidence interval [CI], 0.40-0.69) for women in the highest quintile of total dietary fiber intake (median, 22.9 g/d) compared with women in the lowest quintile (median, 11.5 g/d). After controlling for age, cardiovascular risk factors, dietary factors, and multivitamin supplement use, the RR was 0.77 (95% CI, 0.57-1.04). For a 10-g/d increase in total fiber intake (the difference between the lowest and highest quintiles), the multivariate RR of total CHD events was 0.81 (95% CI, 0.66-0.99). Among different sources of dietary fiber (eg, cereal, vegetables, fruit), only cereal fiber was strongly associated with a reduced risk of CHD (multivariate RR, 0.63; 95% CI, 0.49-0.81 for each 5-g/d increase in cereal fiber). CONCLUSIONS Our findings in women support the hypothesis that higher fiber intake, particularly from cereal sources, reduces the risk of CHD.
Identification of human body daily temperature dynamics via minimum state prediction error method

This paper addresses the problem of adaptive fitting of a stochastic model to what is known as Human Body Daily Temperature Dynamics (HBDTD). HBDTD belongs to the class of systems whose state processes are unobtainable for any practical use and can therefore be regarded as hidden signals. Hence, the only criterion for stochastic model fitting appears to be the output (measured) process used in Minimum Prediction Error (MPE) identification methods. Recently however, a relatively novel methodology known as the Active Principle of Adaptation (APA) was developed and generalized for the purpose of time-variant system identification. In contrast to MPE methods, the APA-based approach considers Exact System Models rather than Approximate System Models and hence yields a new Minimum State Prediction Error method. The solution outlined in this paper is based on replacing the direct model fitting by the indirect one and employing HBDTD adaptive stochastic modeling to demonstrate how modern, i.e. numerically stable MSPE computations can be successfully put to practical use in today's health care.
A Role for Nitric Oxide-Mediated Peroxynitrite Formation in a Model of Endotoxin-Induced Shock

The aim of the present study was to assess the relative contributions of peroxynitrite formation following induction of nitric-oxide synthase (iNOS) in the pathophysiology of endotoxin-induced shock in the rat. To this end, we used a selective inhibitor of iNOS, N-(3-(aminomethyl)benzyl)acetamidine (1400W), and a peroxynitrite decomposition catalyst, 5,10,15,20-tetrakis(4-sulfonatophenyl)porphyrinato iron III chloride (FeTTPs). Intravenous (i.v.) administration of Escherichia coli lipopolysaccharide (LPS; 4 mg/kg) elicited a time-dependent fall in mean arterial pressure as well as liver, renal, and pancreatic tissue damage. 1400W (3-10 mg/kg i.v.) administered 30 min before LPS delayed the development of hypotension but did not improve survival. On the other hand, FeTTPs administered (10-100 mg/kg i.v.) inhibited in a dose-dependent manner LPS-induced hypotension, tissue injury, and improved mortality rate. In separate experiments, rats were treated with LPS (4 mg/kg) or saline for control, and their aortas were isolated and placed in organ baths 2 h later. Tissues from LPS-treated rats had significant inhibition of contractile activity to phenylephrine as well as a significantly impaired relaxation response to acetylcholine. FeTPPs, when administered (100 mg/kg i.v.) 1 h before LPS, prevented the LPS-induced aortic contractile and endothelial dysfunction. These results demonstrate that nitric oxide-derived peroxynitrite formation plays an important role in this model of endotoxemia. Our results also suggest that use of an iNOS inhibitor in this setting has little beneficial effect in part because, in the presence of a failing eNOS system, some NO is needed to maintain adequate organ function.
Database and Prediction of Sequence Motifs on Protein Molecular Interactions

As technologies in the area of genome research advances, huge amount of genome and proteome data are accumulating. Utilizing the huge data, genome scientists are exploring higher biological systems based on molecular interactions that take parts in metabolic pathway and signaling system. Here, we focus on signalling networks, and describe our attempt to predict protein interactions based on sequence motifs. As for proteins in signaling networks, many signalling domains have been reported [1]. These domains include those for protein-protein interactions, e.g. SH2 and SH3 domains. Motifs recognized by the domains could be different in different groups, even if the recognizing domains belong to the same group. Thus, the precise knowledge of interaction pairs is necessary for developing better prediction methods. And, if we could predict these interaction specificity, the predicted results would be helpful to further analyzing of signal networks.
Micro-scale energy harvesting: A system design perspective

Harvesting electrical power from environmental energy sources is an attractive and increasingly feasible option for several micro-scale electronic systems such as biomedical implants and wireless sensor nodes that need to operate autonomously for long periods of time (months to years). However, designing highly efficient micro-scale energy harvesting systems requires an in-depth understanding of various design considerations and tradeoffs. This paper provides an overview of the area of micro-scale energy harvesting and discusses the various challenges and considerations involved from a system-design perspective.
Journal of Tissue Engineering and Regenerative Medicine Additive and Synergistic Effects of Bfgf and Hypoxia on Leporine Meniscus Cell-seeded Plla Scaffolds

Injuries to avascular regions of menisci do not heal and result in significant discomfort to patients. Current treatments, such as partial meniscectomy, alleviate these symptoms in the short term but lead to premature osteoarthritis as a result of compromised stability and changes in knee biomechanics. Thus, tissue engineering of the meniscus may provide an alternative treatment modality to overcome this problem. In this experiment, a scaffold-based tissue-engineering approach was utilized to regenerate the meniscus. Meniscus cells were cultured on poly-L-lactic acid scaffolds in normoxic (∼21% oxygen) or hypoxic (∼2% oxygen) conditions in the presence or absence of the growth factor, basic fibroblast growth factor (bFGF). At t = 4 weeks, histological sections of constructs showed presence of collagen and glycosaminoglycan (GAG) in all groups. Immunohistochemical staining showed the presence of collagen I in all groups and collagen II in groups cultured under hypoxic conditions. bFGF in the culture medium significantly increased cell number/construct by 25%, regardless of culture conditions. For GAG/construct, synergistic increases were observed in constructs cultured in hypoxic conditions and bFGF (twofold) when compared to constructs cultured in normoxic conditions. Compressive tests showed synergistic increases in the relaxation modulus and coefficient of viscosity and additive increases in the instantaneous modulus for constructs cultured under hypoxic conditions and bFGF, when compared to constructs cultured under normoxic conditions. Overall, these results demonstrate that bFGF and hypoxia can significantly enhance the ability of meniscus cells to produce GAGs and improve the compressive properties of tissue-engineered meniscus constructs in vitro.
Bridging the gap between template synthesis and microelectronics: spin-valves and multilayers in self-organized anodized aluminium nanopores

Current perpendicular to the plane, giant magnetoresistance (GMR) and the spin-valve effect were observed in Co/Cu multilayered nanowires electrodeposited into self-organized nanoporous anodized aluminium templates grown at the surface of bulk aluminium. Pores as short as 2000 nm could be used. The pore bottom oxide layer was removed or thinned by chemical etching. Alternating Co and Cu layers of 10 nm in thickness were synthesized by pulse plating. 20% of GMR was observed in 100 Co/Cu bilayer nanowires at room temperature. Co/Cu/Co tri-layered nanowires clearly showed the typical resistance switching of spin-valves.
The Leukocyte Integrins*

Integrins on Leukocytes Leukocytes are marrow-derived cells of diverse form and function that circulate in the blood in a quiescent state of low adhesiveness before migrating into tissues to defend against invading microbes, participate in immune functions and wound repair, or become fixed extracellular residents. Some, such as T-lymphocytes, recirculate and traverse blood, organ, and lymphatic compartments during long cycles of immune surveillance. Others, notably polymorphonuclear leukocytes (PMNs, neutrophils), are rapid response cells specialized for acute spatially targeted defensive actions that can be mounted in minutes. Leukocytes are also effectors of pathologic inflammation when their accumulation and actions are disregulated. Integrins on their surfaces, together with other plasma membrane adhesion molecules, are required for interactions of leukocytes with endothelial cells and other cell types and with matrix structures (1). The functional state, density, and topography of integrins on leukocytes are regulated by lipid, cytokine, and chemokine signaling molecules and by “cross-talk” from other surface adhesion molecules (1–6). Each class of leukocytes displays a particular pattern of integrins that can change in a signaland time-dependent fashion. For example, resting human T lymphocytes (T cells) express b1, b2, and b7 integrins, but this varies with the subclass and is altered by immune stimulation (5). Freshly isolated human monocytes express b1 and b2 integrins, but their culture and/or differentiation into macrophages changes the pattern and induces avb3 (5, 7). Human PMNs, once thought to express only b2 integrins, display b1 and b3 heterodimers and use them in motility and migration (8– 12). A common feature, however, is that each leukocyte subtype expresses one or more members of the b2 integrin family. Further, the b2 heterodimers are restricted to cells of the leukocyte lineage. The remainder of this minireview will focus on the structure and function of the b2 or “leukocyte” integrins, which were among the first adhesion molecules to be studied at the molecular level. The most recently identified member of the subfamily, aDb2, 3 is still being characterized (13–16).
Coordinated motion for multi-robot systems under time varying communication topologies

This paper introduces a control strategy for obtaining cooperative tracking of periodic setpoint trajectories in multi-robot systems. A heterogeneous group of robots is considered: a few independent robots are used as a control input for the system, with the aim of controlling the position of the remaining robots, namely the dependent ones. The control strategy presented in this paper explicitly considers changes in the communication topology among the robots. These changes happen as the system evolves, since robots are equipped with finite range communication devices.
Study on Partitioning Real-World Directed Graphs of Skewed Degree Distribution

Distributed computation on directed graphs has been increasingly important in emerging big data analytics. However, partitioning the huge real-world graphs, such as social and web networks, is known challenging for their skewed (or power-law) degree distributions. In this paper, by investigating two representative k-way balanced edge-cut methods (LDG streaming heuristic and METIS) on 12 real social and web graphs, we empirically find that both LDG and METIS can partition page-level web graphs with extremely high quality, but fail to generate low-cut balanced partitions for social networks and host-level web graphs. Our deep analysis identifies that the global star-motif structures around high-degree vertices is the main obstacle to high-quality partitioning. Based on the empirical study, we further propose a new distributed graph model, namely Agent-Graph, and the Agent+ framework that partitions power-law graphs in the Agent-Graph model. Agent-Graph is a vertex cut variant in the context of message passing, where any high-degree vertex is factored into arbitrary computational agents in remote partitions for message combining and scattering. The Agent framework filters the high-degree vertices to form a residual graph which is then partitioned with high quality by existing edge-cut methods, and finally refills high-degree vertices as agents to construct an agent-graph. Experiments show that the Agent+ approach constantly generates high-quality partitions for all tested real-world skewed graphs. In particular, for 64-way partitioning on social networks and host-level web graphs, the Agent+ approach reduces edge cut equivalently by 27%~79% for LDG and 23%~82% for METIS.
2016 Ieee International Conference on Big Data (big Data) an Improved Social Spammer Detection Based on Tri-training

—A social spammer detection model based on tri-training (SSDTT) is adopted. The main procedure of the work is: First, train three original classifiers with a small amount of labeled data. Then, select confident users that are labeled for a classifier if the other two classifiers agree on the labeling as new training data. Afterwards, repeat these steps until three classifiers are not updated. Experimental results indicate that SSDTT has the same performance with the supervised learning in the case of lacking sufficient labeled data.
Short Synacthen tests—the need for rationalization

The short Synacthen test (SST) is a relatively simple and straightforward procedure and yet there is enormous diversity in guidelines and rules for interpretation between hospitals. In their 1995 survey Barthet al. (1995) found that laboratories were using eight different time schedules with 38 laboratories advocating intravenous and 135 intramuscular administration of Synacthen. Threshold criteria for an adequate serum cortisol response ranged from 400 to 700 nmol/l and bore no relationship to the references quoted, or to the analytical methods employed. One particular method group using a negatively-biased assay gave threshold limits which tended to be higher than those quoted by laboratories using two other more positively-biased assays. It is apparent that there is a great need for more collaboration and agreement between laboratories in terms of guidelines and threshold values. Most laboratories have not established their own cut-off limits and it is refreshing to see some hard facts on how responses to the SST vary with four well-established commercial serum cortisol methods. Clark et al. (1998) report in this issue on SST results for 100 healthy volunteers with serum cortisol measured by TDX (Abbot Diagnostics), ACS-180 (Chiron Diagnostics), DELFIA (Pharmacia Wallac) and Coata-Count (DPC Ltd). Their results reveal a significant (26%) difference in basal serum cortisol results between DELFIA and DPC methods, with highly significant differences at 30 and 60 minutes. At 30 minutes for example, the DELFIA and DPC assays differ by 198 nmol/l for the mean response and the maximum difference for the 5th percentiles is 116 nmol/l (626 for the TDX compared with 510 for the DELFIA assay). It is clear that bias differences between assays are different for basal and post-Synacthen samples: method comparisons on unstimulated samples are therefore invalid for prediction of post-Synacthen threshold levels. This large and detailed study has revealed an additional complexity; the fact that there were distinct gender differences for post-Synacthen serum cortisol responses. The evidence indicates that separate male and female reference ranges need to be established. The message is clear that we could and should do better in terms of defining separate male and female decision levels for the SST which are appropriate for our own serum cortisol assays. This is a considerable task, but hopefully manufacturers will be willing to collaborate in such studies. Short Synacthen testing has been recommended as a substitute for the insulin-induced hypoglycaemia test in the investigation of suspected hypopituitarism (Lindholm & Kehlet, 1987; Stewart et al., 1988) but controversy remains as to its diagnostic accuracy (Orme et al., 1996; Rasmusson et al., 1996; Souleet al., 1996). Definition of methodand genderrelated thresholds for serum cortisol responses should help to give a clearer assessment of the true value of the SST.
Comparison of different control techniques for grid side VSC in terms of losses and current harmonics

More and more wind power plants are built which use voltage source converters (VSC) to feed energy into grid. This paper compares two different control techniques and shows how virtual flux direct power control (VFDPC) reduces filtering requirements at the output of the converter and helps to save up to one quarter of converter losses. Furthermore the influence of a reduced, variable dc link voltage of the wind power plant itself and its converter control is discussed.
Microlensing of Collimated Gamma-Ray Burst Afterglows

We investigate the stellar microlensing of collimated gamma-ray burst afterglows. A spherical afterglow appears on the sky as a superluminally expanding thin ring (a "ringlike" image), which is maximally amplified as it crosses a lens. We find that the image of the collimated afterglow becomes quite uniform (a "disklike" image) after the jet-break time (after the Lorentz factor of the jet drops below the inverse of the jet opening angle). Consequently, the amplification peak in the light curve after the break time is lower and broader. Therefore, detailed monitoring of the amplification history will be able to test whether afterglows are jets or not, i.e., disklike or not, if lensing occurs after the break time. We also show that some proper motion and polarization is expected, peaking around the maximum amplification. The simultaneous detection of proper motion and polarization will indicate that the brightening of the light curve is due to microlensing.