Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Sensing Systems for Measuring Wellness Indices of the Daily Activities for the Elderly

In this study, we reported integration of Wireless Sensor Network (WSN) based systems for monitoring elderly health perception and daily activity behaviour recognition. The amalgamation of the systems helps in deducing the elderly wellness indices, thereby informing the health care providers about the tendency of unusual behaviour through telecare system. The developed sensing system along with the intelligent software is low cost, flexible, robust and easy to install and monitor elderly living alone.
Fragmentation of confidential objects for data processing security in distributed systems

This paper discusses how object orientation in application design enables confidentiality aspects to be handled more easily than in conventional approaches. The idea, based on object fragmentation at design time, is to reduce processing in confidential objects; the more non confidential objects can be produced at design-time, the more application objects can be processed on untrusted shared computers. Still confidential objects must be processed on non shared trusted workstations. Rules and limits of object fragmentation are discussed together with some criteria evaluating trade-offs between fragmentation and performance.
Global Multi-Threaded Instruction Scheduling : Technique and Initial Results

Recently, the microprocessor industry has reached hard physical and micro-architectural limits that have prevented the continuous clock-rate increase, which had been the major source of performance gains for decades. These impediments, in conjunction with the still increasing transistor counts per chip, have driven all major microprocessor manufacturers toward Chip Multiprocessor (CMP) designs. Although CMPs are able to concurrently pursue multiple threads of execution, they do not directly improve the performance of most applications, which are written in sequential languages. In effect, the move to CMPs has shifted even more the task of improving performance from the hardware to the software. In order to support more effective parallelization of sequential applications, computer architects have proposed CMPs with light-weight communication mechanisms [26, 24, 22]. Despite such support, proposed multi-threaded scheduling techniques have generally demonstrated little effectiveness [15, 16] in extracting parallelism from general-purpose, sequential applications. We call these techniques local multi-threaded scheduling , because they basically exploit parallelism within straight-line regions of code. A key observation of this paper is that local multi-threaded techniques do not exploit the main feature of CMPs: the ability to concurrently execute instructions from different control-flow regions. In order to benefit from this powerful CMP characteristic, it is necessary to performglobal multi-threaded scheduling , which simultaneously schedules instructions from different basic blocks to enable their concurrent execution. This paper presents algorithms to perform global scheduling for communicationexposed multi-threaded architectures. By global we mean that our technique simultaneously schedules instructions from an arbitrary code region. Very encouraging preliminary results, targeting a dual-core Itanium 2 model, are presented for selected benchmark applications.
Ethnicity and everyday life

Introduction 1. Ethnicity and Everyday Life 2. Power and Classification, Meaning and Resistance 3. Identity, Diaspora, Hybridity 4. Ethnic Majorities, 'The Stranger' and Everyday Life 5. Forced Migration and Structures of Fear in the Age of Globalization. Conclusion - The Quest for Inclusive Meaning
Love during divorce : development of the Sorokin Psycho-Social Love Inventory (SPSLI) and testing of a predictor model.

LOVE DURING DIVORCE: DEVELOPMENT OF THE SOROKIN PSYCHOSOCIAL LOVE INVENTORY (SPSLI) AND TESTING OF A PREDICTOR MODEL Joseph G. D' Ambrosio April 18, 2012 The purpose of this dissertation was to describe the development and validation of the Sorokin Psycho-Social Love Inventory (SPSLI) and the testing of a Predictor Model of love actions for people who experienced divorce. The SPSLI is based on five dimensions of love outlined in a theory of love developed by sociologist, Pitirim Sorokin. The scale was developed with a sample of 518 individuals who were going through a divorce or had been through a divorce. It measures high love, low love and hate actions toward a former spouse. The validation of the SPSLI utilized Classical Measurement Theory which allowed for the examination of reliability, face and content validity on the item structure in development of the subscales. Confirmatory Factor Analysis (CFA), which is theory driven, was then used to determine if higher order constructs could be found that would measure high and low love and high hate actions toward a former spouse. The results of CF A indicated that while the high love model met the requirements of a reliable and valid scale (high love a=O.92) it was necessary to change some of the
Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation.

Canopy chlorophyll content (CCC) is an essential ecophysiological variable for photosynthetic functioning. Remote sensing of CCC is vital for a wide range of ecological and agricultural applications. The objectives of this study were to explore simple and robust algorithms for spectral assessment of CCC. Hyperspectral datasets for six vegetation types (rice, wheat, corn, soybean, sugar beet and natural grass) acquired in four locations (Japan, France, Italy and USA) were analysed. To explore the best predictive model, spectral index approaches using the entire wavebands and multivariable regression approaches were employed. The comprehensive analysis elucidated the accuracy, linearity, sensitivity and applicability of various spectral models. Multivariable regression models using many wavebands proved inferior in applicability to different datasets. A simple model using the ratio spectral index (RSI; R815, R704) with the reflectance at 815 and 704 nm showed the highest accuracy and applicability. Simulation analysis using a physically based reflectance model suggested the biophysical soundness of the results. The model would work as a robust algorithm for canopy-chlorophyll-metre and/or remote sensing of CCC in ecosystem and regional scales. The predictive-ability maps using hyperspectral data allow not only evaluation of the relative significance of wavebands in various sensors but also selection of the optimal wavelengths and effective bandwidths.
Author Verification: Basic Stacked Generalization Applied To Predictions from a Set of Heterogeneous Learners - Notebook for PAN at CLEF 2015

In this paper we present the system we submitted to the PAN 2015 competition for the author verification task. We consider the task as a supervised classification problem, where each case in a dataset is an instance. Our approach combines the output from multiple learners using basic stacked generalization. The individual learners are obtained using five distinct approaches, each trained using a generic genetic algorithm. Our system performed well on the test set: the macro-average score was 0.61 (2nd best).
Separating Overlapped Intervals on a Line

Given $n$ intervals on a line $\ell$, we consider the problem of moving these intervals on $\ell$ such that no two intervals overlap and the maximum moving distance of the intervals is minimized. The difficulty for solving the problem lies in determining the order of the intervals in an optimal solution. By interesting observations, we show that it is sufficient to consider at most $n$ "candidate" lists of ordered intervals. Further, although explicitly maintaining these lists takes $\Omega(n^2)$ time and space, by more observations and a pruning technique, we present an algorithm that can compute an optimal solution in $O(n\log n)$ time and $O(n)$ space. We also prove an $\Omega(n\log n)$ time lower bound for solving the problem, which implies the optimality of our algorithm.
METABOLISM AND DISPOSITION OF A POTENT GROUP II METABOTROPIC GLUTAMATE RECEPTOR AGONIST, IN RATS, DOGS, AND MONKEYS

Metabolism and disposition of MGS0028 [(1R,2S,5S,6S)-2-amino-6-fluoro-4-oxobicyclo[3.1. 0]hexane-2,6-dicarboxylic acid monohydrate], a potent group II metabotropic glutamate receptor agonist, were examined in three preclinical species (Sprague-Dawley rats, beagle dogs, and rhesus monkeys). In rats, MGS0028 was widely distributed and primarily excreted in urine as parent and as a single reductive metabolite, identified as the 4R-isomer MGS0034 [(1R,2S,4R,5S,6S)-2-amino-6-fluoro-4-hydroxybicyclo[3.1. 0]-hexane-2,6-dicarboxylic acid]. MGS0028 had a low brain to plasma ratio at efficacious doses in rats and was eliminated more slowly in rat brain than in plasma. Exposure increased proportionally (1–10 mg/kg p.o.) in rats, with bioavailability >60% at all doses. However, bioavailability was only ∼20% in monkeys, and MGS0034 was found in relatively high abundance in plasma. In dogs, oral bioavailability was >60%, and the metabolite was not detected. In vitro metabolism was examined in liver subcellular fractions (microsomes and cytosol) from rat, dog, monkey, and human. Reductive metabolism was observed in rat, monkey, and human liver cytosol incubations, but not in dog liver cytosol incubations. No metabolism of MGS0028 was detected in incubations with liver microsomes from any species. Similar to in vivo results, MGS0028 was reduced in cytosol stereospecifically to MGS0034. The rank order of in vitro metabolite formation (monkey ≫ rat ∼ human ≫ dog) was in agreement with in vivo observations in rats, dogs, and monkeys. Based on the observation of species difference in reductive metabolism, rat and monkey were recommended to be the preclinical species for further characterization prior to testing in humans. Finally, allometric scaling predicts that human pharmacokinetic parameters would be acceptable for further development.
Subband feature extraction using lapped orthogonal transform for speech recognition

It is well known that dividing speech into frequency subbands can improve the performance of a speech recognizer. This is especially true for the case of speech corrupted with noise. Subband (SUB) features are typically extracted by dividing the frequency band into subbands by using non-overlapping rectangular windows and then processing each subband s spectrum separately. However, multiplying a signal by a rectangular window creates discontinuities which produce large amplitude frequency coefficients at high frequencies that degrade the performance of the speech recognizer. In this paper we propose the lapped subband (LAP) features which are calculated by applying the discrete orthogonal lapped transform (DOLT) to the mel-scaled, log-filterbank energies of a speech frame. Performance of the LAP features is evaluated on a phoneme recognition task and compared with the performance of SUB features and MFCC features. Experimental results show that the proposed LAP features outperform SUB features and mel frequency cepstral coefficients (MFCC) features under white noise, band-limited white noise and no noise conditions.
Interaction with Computers Using Mobile Devices

We propose a new interaction way that uses mobile devices to input and output devices of computers. The idea is simple but powerful, because 1) mobile devices are popular, 2) people can use them easily, 3) people carry them at all times, 4) two displays one of which is a big display for a computer and another is a small display of a mobile device may make new interaction and visualization and 5) a user can store parts of public data in physically independent device, that is his/her mobile device. We expect that our idea may make psychological barrier lower than now so that users can access and modify all data around the world more easily. In this paper, we show an example application based the idea we propose and discuss its possibilities.
Residential environments : choice, satisfaction and behaviour

Residential Environments by Juan I. Aragones, Guido Francescato & Tommy Garling Residential Satisfaction Research: The Case For and Against by Guido Francescato The Geography of Residential Choice by Frans M. Dieleman & Clara Mulder A Psychological Conceptualization of Residential Choice and Satisfaction by Tommy Garling & Margareta Friman A Psychological Approach to the Study of Residential Satisfaction by Maria Amerigo Residential Satisfaction in the Urban Environment within the Unesco-Man Rome Project byMarino Bonaiutto & Marilia Bonnes Self-Help Building and Residential Satisfaction: A Social Constructionist Approach by Esther Wiesenfeld The Dwelling as Place: Behaviors and Symbolism by Juan I. Aragones Spatial-Physical Neighborhood Attributes Affecting Social Interaction Among Neighbors by Oddvard Skjaeveland & Tommy Garling The Effect of Neighborhood Reputation on Fear of Crime and Inner City Investment by Catherine A. Garland & Daniel Stokols Waste Removal Systems and Recycling Participation in Residential Environments by John Thorgersen
Spectrum allocation for cognitive multi-homing networks

Cognitive heterogeneous networks is an important scenario for 5G. Additionally, multi-homing technology can aggregate different network spectrum resource to improve the quality of service for secondary Mobile Terminals (MTs). In this paper, a spectrum allocation problem with multi-homing technology is studied for cognitive heterogeneous networks. The spectrum allocation is subject to constraints in the required transmission rate for heterogeneous constant bit rate and variable bit rate services. The spectrum allocation among secondary MTs is solved by a convex optimization theory. To obtain the optimal spectrum allocation, a spectrum allocation algorithm is proposed via the dual decomposition method. Simulation results demonstrate that the proposed algorithm improves the quality of service for secondary MTs significantly.
LARGE SCALE SELF-ORGANIZATION

Living cells need to impose inner order, transport organelles from site to site inside the cell, withstand external pressures and propagate themselves to different locations. All of these mechanical needs are supplied by the cells cytoskeleton. One of the components of the cytoskeleton is filamentous actin (F-actin). The two ends of F-actin are distinctly different, making it a polar rod with a ”plus end” and a ”minus end”. Actin defines and preserves the cells shape and allows for cell motion. Actin in the cell has many accessory proteins. One of the more interesting ones is Myosin II, a molecular motor which can convert chemical energy into mechanical work and progress along F-actin towards its plus end. These motors can aggregate and move along more than one filament simultaneously, causing their relative movement. In-vitro experiments have shown that mixtures of F-actin and myosin II motors can generate different patterns, including bundles, asters, and networks. The dynamics allowing this organization are not yet fully understood. In this work, we present a coarse-grained molecular model for systems consisting of myosin II motors and actin filaments. Within this model, the filaments are represented as flexible rods while the motors are modeled as ”mechanical units” that can bind to, exert forces, and move along the filaments. Thus, the approach balances the need for molecular details with computational simplicity in a manner that allows for simulations which mimic in-vitro experiments. We use the model to study, by means of molecular dynamics simulations, the self-organization behavior of the system. Our simulations reveal a very rich phase behavior with several steady-states (different types of bundles and asters both isolated and interconnected) and different global layouts of filaments and motors determined by the length of the filaments and the number of motors per filament, some of which have been observed experimentally. They also provide a visualization of the dynamics leading to these structures and shed light on the role played by the myosin II motors as active linkers which can bind to several filaments and (due to their non-processive nature) switch between them.
Cluster based Key Management in Wireless Sensor Networks

Wireless sensor networks consist of sensor nodes with limited computational and communication capabilities. In this paper, the whole network of sensor nodes is divided into clusters based on their physical locations. In addition, efficient ways of key distribution among the nodes within the cluster and among controllers of each cluster are discussed. Also, inter and intra cluster communications are presented in detail. The security of the entire network through efficient key management by taking into consideration the network's power capabilities is discussed. A graphical representation of the simulation on the scheme is also presented.
Lymphatic filariasis: an infection of childhood

Lymphatic filariasis (LF), already recognized as a widespread, seriously handicapping disease of adults, was generally thought to occur only sporadically in children. New, highly sensitive diagnostic tests (antigen detection, ultrasound examination) now reveal, however, that LF is first acquired in childhood, often with as many as one‐third of children infected before age 5. Initial damage to the lymphatic system by the parasites generally remains subclinical for years or gives rise only to non‐specific presentations of adenitis/adenopathy; however, especially after puberty the characteristic clinical features of the adult disease syndromes (lymphoedema, hydrocoele) manifest themselves. Recognizing that LF disease starts its development in childhood has immediate practical implications both for management and prevention of the disease in individual patients and for the broader public health efforts to overcome all childhood illnesses. For the new World Health Organization (WHO)‐supported, public‐/private‐sector collaboration (Global Alliance) to eliminate LF through once‐yearly drug treatment, this recognition means that children will be not only the principal beneficiaries of LF elimination but also a population particularly important to target in order for the programme to achieve its twin goals of interrupting transmission and preventing disease.
Mitochondrio‐nuclear translocation of AIF in apoptosis and necrosis

Apoptosis inducing factor (AIF) is a novel apoptotic effector protein that induces chro‐matin condensation and large‐scale (—50 kbp) DNA fragmentation when added to purified nuclei in vitro. Confocal and electron microscopy reveal that, in normal cells, AIF is strictly confined to mitochondria and thus colocalizes with heat shock protein 60 (hsp60). On induction of apoptosis by staurosporin, c‐Myc, etoposide, or ceramide, AIF (but not hsp60) translocates to the nucleus. This suggests that only the outer mitochondrial membrane (which retains AIF in the intermembrane space) but not the inner membrane (which retains hsp60 in the matrix) becomes protein permeable. The mitochondrio‐nuclear redistribution of AIF is prevented by a Bcl‐2 protein specifically targeted to mitochondrial membranes. The pan‐caspase inhibitor Z‐VAD.fmk does not prevent the staurosporin‐induced translocation of AIF, although it does inhibit oligonucleosomal DNA fragmentation and arrests chromatin condensation at an early stage. ATP depletion is sufficient to cause AIF translocation to the nucleus, and this phenomenon is accelerated by the apoptosis inducer staurosporin. However, in conditions in which both glycolytic and respiratory ATP generation is inhibited, cells fail to manifest any sign of chromatin condensation and advanced DNA fragmentation, thus manifesting a ‘necrotic’ phenotype. Both in the presence of Z‐VAD.fmk and in conditions of ATP depletion, AIF translocation correlates with the appearance of large‐scale DNA fragmentation. Altogether, these data are compatible with the hypothesis that AIF is a caspase‐independent mitochondrial death effector responsible for partial chromatinolysis. —Daugas, E. , Susin, S. A. , Zamzami, N. , Ferri, K. , Irinopoulou, T. , Larochette, N. , Prévost, M. ‐C, Leber, B. , Andrews, D. , Penninger, J., Kroemer, G. Mitochondrio‐nuclear translocation of AIF in apoptosis and necrosis. FASEB J. 14, 729–739 (2000)
Fast Databases with Fast Durability and Recovery Through Multicore Parallelism

Multicore in-memory databases for modern machines can support extraordinarily high transaction rates for online transaction processing workloads. A potential weakness, however, is recovery from crash failures. Can classical techniques, such as checkpoints, be made both efficient enough to keep up with current systems' memory sizes and transaction rates, and smart enough to avoid additional contention? Starting from an efficient multicore database system, we show that naive logging and checkpoints make normal-case execution slower, but that frequent disk synchronization allows us to keep up with many workloads with only a modest reduction in throughput. We design throughout for parallelism: during logging, during checkpointing, and during recovery. The result is fast. Given appropriate hardware (three SSDs and a RAID), a 32-core system can recover a 43.2 GB key-value database in 106 seconds, and a > 70 GB TPC-C database in 211 seconds.
Routing Misfolded Proteins through the Multivesicular Body (MVB) Pathway Protects against Proteotoxicity*

The secretory pathway maintains multiple quality control checkpoints. Initially, endoplasmic reticulum-associated degradation pathways monitor protein folding to retain and eliminate aberrant products. Despite its broad client range, some molecules escape detection and traffic to Golgi membranes. There, a poorly understood mechanism termed Golgi quality control routes aberrant proteins for lysosomal/vacuolar degradation. To better understand Golgi quality control, we examined the processing of the obligate substrate Wsc1p. Misfolded Wsc1p does not use routes of typical vacuolar membrane proteins. Instead, it partitions into intralumenal vesicles of the multivesicular body (MVB) pathway, mediated by the E3 ubiquitin ligase Rsp5p. Its subsequent transport to the vacuolar lumen is essential for complete molecule breakdown. Surprisingly, the transport mode plays a second crucial function in neutralizing potential substrate toxicity. Eliminating the MVB sorting signal diverted molecules to the vacuolar limiting membrane, resulting in the generation of toxic by-products. These data demonstrate a new role of the MVB pathway in protein quality control.
TDMA network design using decode-and-forward relays with finite set modulation

This paper studies the uplink channel of a time division multiple access (TDMA) cellular network assisted by wireless relays. Aiming at increasing the networkpsilas transmission rate, we optimally place multiple decode-and-forward (D&F) dedicated relays within every cell. In the first part of the contribution, we consider the relays transmitting Gaussian codewords. Results show that there is almost 39% gain in the transmission rate of each cell with respect to no relaying. In the second part, we analyze the performance impact of finite set modulation at user and relays (i.e. M-PAM) . With such a modulation, the gain is slightly decreased to 27%. Finally, we show that D&F relaying provides large gains in the outage capacity at the edge of the cell, with similar performance for Gaussian and M-PAM modulation.
Automatic Performance Tuning (Autotuning)

Understanding the most efﬁcient design and utilization of emerging multicore systems is one of the most challenging questions faced by the mainstream and scientiﬁc computing industries in several decades. Our work explores multicore stencil (nearest-neighbor) computations — a class of algorithms at the heart of many structured grid codes, including PDE solvers. We develop a number of effective optimization strategies