Miracle-dz/UniFAR-FTUs huggingface dataset:
I Know It's You: Touch Behavioral Characteristics Recognition on Smartphone Based on Pattern Password

In recent years, pattern password has been widely used for user authentication on smartphones and other mobile devices in addition to the traditional password protection approach. However, pattern password authentication mechanism is incapable of protecting users from losses when a user's login credential information is stolen. We propose an identity verification scheme based on user’s touching behaviors when inputting a pattern password on the smartphone screen. By exploiting the biometrical features, such as position, pressure, size, and time when a user inputs a pattern password to a smartphone, the proposed user verification mechanism can validate whether the user is the true owner of the smartphone. We adopted fuzzy logic, artificial neural network, and support vector machine, to build classifiers, using the behavioral data collected from 10 users. The experimental results show that all the three algorithms have significant recognition capacity, and the fuzzy logic algorithm is the best one with its false acceptance rate and false rejection rate as 4.7% and 4.468% respectively.
Family development in the face of cancer

he National Cancer Institutereported that 8.9 million Americanswho have had cancer were alive in1999 (American Cancer Society, 2003). Thenumber of cancer cases has increased whilethe incidence of cancer mortality has declinedfrom 1973 to 1999 (Edwards et al., 2002). Asa result, patients and families must learn tolive with the chronic physical and psychoso-cial adjustments of a cancer diagnosis.The majority of families mount a resilientresponse over time, despite the suffering thatis universal for those living with cancer(Arpin, Fitch, Browne, & Corey, 1990;Grassi & Rosti, 1996; Skerrett, 1998). Theyreport feeling closer to one another after mar-shaling resources to fight the disease (Lewis,Woods, Hough, & Bensley, 1989; Skerrett,1998). Although many families report thispositive response, the physical and emotionalpressures during the different stages of cancercan strain family relationships, even amongfamilies who cope well with the diagnosis andits effects (Carlson, Bultz, Speca, & St.-Pierre,2000; Halford, Scott, & Smythe, 2000;Veach & Nicholas, 1998). Furthermore, some families of cancerpatients express psychological distress asmuch as, if not more than, the patients(Ferrell, Ervin, Smith, Marek, & Melancon,2002; Northouse, Mood, Templin, Mellon,& George, 2000; Omne-Ponten, Holmberg,Bergstrom, Sjoden, & Burns, 1993). Research-ers have reported that one third to one half ofcancer patients meet the diagnostic criteria fora wide range of disorders, including adjust-ment disorders, affective disorders, and anxi-ety disorders (Derogatis et al., 1983; Grassi& Rosti, 1996). In addition to the directeffects of cancer on families, these negativepsychological changes in the patient can influ-ence the quality of the family environmentand family adjustment to cancer (Baider,Koch, Esacson, & Kaplan-DeNour, 1998;Ben-Zur, 2001; Omne-Ponten et al., 1993),resulting in decreased closeness in family rela-tionships (Ell, Nishimoto, Morvay, Mantell,& Hamovitch, 1989). Family environments can affect thelevel of the patient’s and family members’distress. Cohesive family environmentswith low conflict include family members
Radio-frequency interference mitigation strategies for high-speed connectors

Radio-frequency interference (RFI) issue becomes more and more significant in recent high-speed and small-form-factor electronic systems. Especially when their RF antennas cannot put away from digital input/output (I/O) interfaces, the coupling noise could highly degrade the antenna and system performance. In this problem, the amount of differential-mode noise is usually much larger than the common-mode one. For reducing the differential-mode noise, two useful mitigation strategies are suggested. These strategies are also workable for reducing the common-mode noise. For demonstration, a specific scenario of Wi-Fi dongle and its interface is defined and studied. Good mitigation results are indeed obtained for both common-and differential-mode cases by these strategies.
Preparacin para exmenes y aprendizaje autorregulado con estudiantes universitarios

A starting and operating device for controlling a starter that ignites a sodium lamp, AC power voltage being provided to the starter and sodium lamp by means of a power supply transformer having its secondary winding connected to the starter and sodium lamp, and its primary winding connected to an AC power source. The device comprises an AC/DC converter connected to the primary winding for converting AC voltage into a low DC voltage; a high power disabling device for disabling the starter; an optor-isolator connected to the high power disabling device for controlling the high power disabling device by means of a low DC signal, and for electrically isolating the high power disabling device; a timer connected to the opto-isolator for generating the low DC signal after passage of a predetermined amount of time to disable the starter; and a first delay circuit connected to the AC/DC converter for detecting energizing of the AC/DC converter, and for generating a delayed resetting signal for the timer after detection of the energizing whereby the AC/DC converter can be stabilized before resetting the timer.
LASE: An example-based program transformation tool for locating and applying systematic edits

Adding features and fixing bugs in software often require systematic edits which are similar, but not identical, changes to many code locations. Finding all edit locations and editing them correctly is tedious and error-prone. In this paper, we demonstrate an Eclipse plug-in called Lase that (1) creates context-aware edit scripts from two or more examples, and uses these scripts to (2) automatically identify edit locations and (3) transform the code. In Lase, users can view syntactic edit operations and corresponding context for each input example. They can also choose a different subset of the examples to adjust the abstraction level of inferred edits. When Lase locates target methods matching the inferred edit context and suggests customized edits, users can review and correct LASE's edit suggestion. These features can reduce developers' burden in repetitively applying similar edits to different methods. The tool's video demonstration is available at https://www.youtube. com/ watch? v=npDqMVP2e9Q.
A physical model of non-specificity in P-glycoprotein's selection of substrates

P-glycoprotein (P-gp) can pump a wide variety of structurally unrelated compounds out of cells. However the mechanism of this pumping action remains uncertain. Based on the view that the basic interaction between biological molecules is electric and the change of free energy decides the direction and limit of a reaction, using Debye-Hückel theory and incorporating the simplified structured model of P-glycoprotein, the change of electrostatic free energy in the process of substrates entering the lumen of P-glycoprotein is induced. It is proposed that the main reason of substrates entering the lumen of P-glycoprotein with a high effectiveness is the action of electrostatic free energy. The energy minimum of transporting a substrate is obtained, which has the same order as the energy from one ATP hydrolyzed. It is illustrated that one ATP needs to be hydrolyzed per substrate transported. Two indirect ways to inhibit the action of P-glycoprotein multidrug resistance are proposed.
Spinal Cord Injury: Time to Move?

This symposium aims at summarizing some of the scientific bases for current or planned clinical trials in patients with spinal cord injury (SCI). It stems from the interactions of four researchers involved in basic and clinical research who presented their work at a dedicated Symposium of the Society for Neuroscience in San Diego. After SCI, primary and secondary damage occurs and several endogenous processes are triggered that may foster or hinder axonal reconnection from supralesional structures. Studies in animals show that some of these processes can be enhanced or decreased by exogenous interventions using drugs to diminish repulsive barriers (anti-Nogo, anti-Rho) that prevent regeneration and/or sprouting of axons. Cell grafts are also envisaged to enhance beneficial immunological mechanisms (autologous macrophages, vaccines) or remyelinate axons (oligodendrocytes derived from stem cells). Some of these treatments could be planned concurrently with neurosurgical approaches that are themselves beneficial to decrease secondary damage (e.g., decompression/reconstructive spinal surgery). Finally, rehabilitative approaches based on the presence of functional networks (i.e., central pattern generator) below the lesion combined with the above neurobiological approaches may produce significant functional recovery of some sensorimotor functions, such as locomotion, by ensuring an optimal function of endogenous spinal networks and establishing new dynamic interactions with supralesional structures. More work is needed on all fronts, but already the results offer great hope for functional recovery after SCI based on sound basic and clinical neuroscience research.
Passive interference measurement in Wireless Sensor Networks

Interference modeling is crucial for the performance of numerous WSN protocols such as congestion control, link/channel scheduling, and reliable routing. In particular, understanding and mitigating interference becomes increasingly important for Wireless Sensor Networks (WSNs) as they are being deployed for many data-intensive applications such as structural health monitoring. However, previous works have widely adopted simplistic interference models that fail to capture the wireless realities such as probabilistic packet reception performance. Recent studies suggested that the physical interference model (i.e., PRR-SINR model) is significantly more accurate than existing interference models. However, existing approaches to physical interference modeling exclusively rely on the use of active measurement packets, which imposes prohibitively high overhead to bandwidth-limited WSNs. In this paper, we propose the passive interference measurement (PIM) approach to tackle the complexity of accurate physical interference characterization. PIM exploits the spatiotemporal diversity of data traffic for radio performance profiling and only needs to gather a small amount of statistics about the network. We evaluate the efficiency of PIM through extensive experiments on both a 13-node and a 40-node testbeds of TelosB motes. Our results show that PIM can achieve high accuracy of PRR-SINR modeling with significantly lower overhead compared with the active measurement approach.
Interviews : an introduction to qualitative research interviewing

PART ONE: INTRODUCTION Interviewing as Research PART TWO: CONCEPTUALIZING THE RESEARCH INTERVIEW The Interview as a Conversation Postmodern Thought, Hermeneutics, Phenomenology, and Dialectics Qualitative Research in Science and in Practice PART THREE: THE SEVEN STAGES OF AN INTERVIEW INVESTIGATION Thematizing and Designing an Interview Study Ethical Issues in Interview Inquiries The Interview Situation The Quality of the Interview From Speech to Text The 1,000-Page Question Methods of Analysis The Plurality of Interpretations The Social Construction of Validity Improving Interview Reports PART FOUR: CONCLUSION Conversations about Interviews
SOCIAL MEDIA PARTICIPATORY CULTURES-A STUDY OF THE DYNAMICS BETWEEN USER PERSONALITY AND FACEBOOK USE

The Uses and Gratifications Theory suggests that people have different socio-psychological traits, which may affect the way and the reasons they use social media to satisfy their personal needs. In the Internet environment, users are even more actively engaged communication participants, compared to other traditional media. This study aims to examine the relationship between personality factors and Facebook use, and whether gender and age play a role in the dynamics. The study revealed that younger Facebook users had higher levels of extraversion and agreeableness. Older respondents were more conscientious, emotionally stable and open to experiences. Males showed higher extraversion, agreeableness and emotional stability. Females were more conscientious and open to experiences. Attitude towards Facebook and its Online Sociability functions with differed with Age. Extraversion and Openness to Experience differed in relation to Attitude towards Facebook. Extraversion, Conscientiouness and Emotional Stability differed with Online Sociability functions. Gender was not a significant predictor.
Recurrent Clifford Support Machines

This paper introduces the recurrent Clifford support vector machines (RCSVM). First we explain the generalization of the real- and complex-valued support vector machines using the Clifford geometric algebra. In this framework we handle the design of kernels involving the Clifford or geometric product and one redefines the optimization variables as multivectors. This allows us to have a multivector as output therefore we can represent multiple classes according to the dimension of the geometric algebra in which we work. We show that one can apply CSVM to build a recurrent CSVM.We study the performance of the recurrent CSVM with experiments using time series and tasks of visually guided robotics.
Two-Level Controlled Parallel Reconfigurable Architecture

After reviewing the key technologies of microprogramming, this paper focuses on the utilization of twolevel microprogramming scheme combined with multiprocessor parallelism. Based on our experience by the development of the two-level microprogrammed multiprocessor machine, called MUNAP, and the increasing importance of reconfigurable parallel architecture, we propose a new two-level controlled, parallel reconfigurable architecture. This architecture is expected to realize flexible control of many fine-grained operational units by distributed nanoprograms of horizontal type under single microprogram of vertical type. It also reduces the difficulty of designing applications of reconfigurable hardware by replacing a lot of sequence control circuits with nanoprograms. By isolating the programming view from the detailed implementation view and allowing the flexibility of the underlying hardware, the proposed scheme will be much more palatable to the application developers than the use of an HDL and logic compiler scheme. Keywords—two-level microprogramming; reconfigurable computing; parallel computer
Genome-Wide Association Mapping Reveals the Genetic Control Underlying Branch Angle in Rapeseed (Brassica napus L.)

Plant architecture is vital not only for crop yield, but also for field management, such as mechanical harvesting. The branch angle is one of the key factors determining plant architecture. With the aim of revealing the genetic control underlying branch angle in rapeseed (Brassica napus L.), the positional variation of branch angles on individual plants was evaluated, and the branch angle increased with the elevation of branch position. Furthermore, three middle branches of individual plants were selected to measure the branch angle because they exhibited the most representative phenotypic values. An association panel with 472 diverse accessions was estimated for branch angle trait in six environments and genotyped with a 60K Brassica Infinium® SNP array. As a result of association mapping, 46 and 38 significantly-associated loci were detected using a mixed linear model (MLM) and a multi-locus random-SNP-effect mixed linear model (MRMLM), which explained up to 62.2 and 66.2% of the cumulative phenotypic variation, respectively. Numerous highly-promising candidate genes were identified by annotating against Arabidopsis thaliana homologous, including some first found in rapeseed, such as TAC1, SGR1, SGR3, and SGR5. These findings reveal the genetic control underlying branch angle and provide insight into genetic improvements that are possible in the plant architecture of rapeseed.
Determination of Novel Borrelia Genospecies in Swedish Ixodes ricinus Ticks

ABSTRACT A total of 301 adult questing Ixodes ricinus ticks were collected at 15 different locations along the south and east coasts of Sweden to determine the Borrelia genospecies diversity. Thirty-two ticks (11%) were found to be positive by nested PCR with Borrelia burgdorferi sensu lato-specific primers. Species determination was based on partial sequencing of the 16S rRNA gene and the flagellin gene. Five different Borrelia species were found. The nucleotide sequence of the Borrelia DNA found in two ticks differed extensively from the nucleotide sequences of the Borrelia DNA found in the other ticks, and analysis revealed that they were closely related to the relapsing fever borrelia species Borrelia miyamotoi. This is the first report of a B. miyamotoi-like borrelia in I. ricinus and in Europe. Moreover, the Borrelia DNA of two ticks (6%) clustered within the B. valaisiana complex. B. valaisiana has not previously been reported in Sweden. B. afzelii DNA was found in 14 ticks (44%), and B. garinii DNA was found in 10 ticks (31%). B. burgdorferi sensu stricto DNA was found in four ticks (13%). We conclude that all of the known human-pathogenic species (B. garinii, B. afzelii, and B. burgdorferi sensu stricto) and B. valaisiana found elsewhere in Europe are also present in the Swedish host-seeking tick population and that a B. miyamotoi-like Borrelia species seems to be present in I. ricinus ticks in Europe.
Manpower allocation with time windows and job‐teaming constraints

In this work, we study manpower allocation with time windows and job‐teaming constraints. A set of jobs at dispersed locations requires teams of different types of workers where each job must be carried out in a preestablished time window and requires a specific length of time for completion. A job is satisfied if the required composite team can be brought together at the job's location for the required duration within the job's time window. The objective is to minimize a weighted sum of the total number of workers and the total traveling time. We show that construction heuristics used with simulated annealing is a good approach to solving this NP‐hard problem. In experiments, this approach is compared with solutions found using CPLEX and with lower bounds obtained from a network flow model. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.
Neural correlates of adolescents’ viewing of parents’ and peers’ emotions: Associations with risk-taking behavior and risky peer affiliations

Social reorientation from parents to same-age peers is normative in adolescence, but the neural correlates of youths’ socioemotional processing of parents and peers have not been explored. In the current study, 22 adolescents (average age 16.98) underwent neuroimaging (functional magnetic resonance imaging) while viewing and rating emotions shown in brief video clips featuring themselves, their parents, or an unfamiliar peer. Viewing self vs. other and parents vs. the peer activated regions in the medial prefrontal cortex, replicating prior findings that this area responds to self-relevant stimuli, including familiar and not just similar others. Viewing the peer compared with parents elicited activation in posterior ‘mentalizing’ structures, the precuneus, posterior cingulate cortex (PCC), bilateral posterior superior temporal sulcus and right temporoparietal junction, as well as the ventral striatum and bilateral amygdala and hippocampus. Relative activations in the PCC and precuneus to the peer vs. the parent were related both to reported risk-taking behavior and to affiliations with more risk-taking peers. The results suggest neural correlates of the adolescent social reorientation toward peers and away from parents that may be associated with adolescents’ real-life risk-taking behaviors and social relationships.
Information Theoretic Learning: Reny's Entropy and Kernel Perspectives (Principe, J.; 2010) [Book Review]

This book, derived from Jose Principe and his group¿s 10 years¿ research in information theory and statistical learning, gives a comprehensive introduction, analysis and demonstration of almost all the major components required for understanding and developing the new theme of information-theoretical learning. The basic strategy utilized by the author is to apply information theory descriptors (namely entropy and divergence, in contrast to the statistical measures of mean and covariance)as nonparametric cost functions for the design of adaptive systems, thus creating a new paradigm of information theoretic learning. And like in statistical learning, unsupervised or supervised training modes are also fully explored.
Diet quality of a population sample from coastal north-east Spain evaluated by a Mediterranean adaptation of the Diet Quality Index (DQI)

Abstract Objective To assess the adherence to the Mediterranean dietary pattern in the population from a coastal region from north-east Spain and its relationship to diseases, applying the Mediterranean Diet Quality Index (M-DQI) validated by the use of several biomarkers. Design Cross-sectional nutrition survey. Setting Population-based random sample derived from the Catalan Nutrition Survey. Subjects A total of 621 healthy adults. Results The Catalan representative sample presented a mean M-DQI score of 6·6 (sd 2·3, median 7, range 0–14). The percentage of adherence to the Mediterranean diet was 53 %; 10 % of subjects showed high adherence to the Mediterranean diet, while only 2 % were categorized as poorest adherence. The plasma fatty acid profile of the Catalan sample progressed with perfect regularity throughout the index ranges. Both EPA and DHA presented a significant correlation to the M-DQI (r = −0·410 for EPA and −0·360 for DHA). A significant increase in palmitic, oleic and α-linolenic acids and a significant decrease in stearic, linoleic and arachidonic acids content were also observed. The mean values for the M-DQI according to the clinical characteristics of the Catalan sample were also calculated. Conclusions The M-DQI has been demonstrated a suitable tool for assessment of an individual’s nutritional status according to the Mediterranean dietary pattern and for clinical purposes. Although the current diet followed in Catalonia seems to agree with the main characteristics of the Mediterranean diet, the promotion of the Mediterranean pattern should be reinforced in the Catalan population, especially among young people.
An Enhanced $dq$-Based Vector Control System for Modular Multilevel Converters Feeding Variable-Speed Drives

Modular multilevel converters (M<inline-formula><tex-math notation="LaTeX">$^{\text{2}}$</tex-math></inline-formula> C) are considered an attractive solution for high power drive applications. However, energy balancing within the converter is complex to achieve, particularly when the machine is operating at low rotational speeds. In this paper, a new control system, based on cascaded control loops and a vector-power-voltage (<inline-formula> <tex-math notation="LaTeX">$vPV$</tex-math></inline-formula>) model of the M<inline-formula><tex-math notation="LaTeX"> $^{\text{2}}$</tex-math></inline-formula>C, is proposed. The control system is implemented in a <inline-formula> <tex-math notation="LaTeX">$dq$</tex-math></inline-formula>-synchronous frame rotating at <inline-formula> <tex-math notation="LaTeX">$\omega _e$</tex-math></inline-formula> rad/s with the external loop regulating the capacitor voltages using proportional-integral (PI) controllers. The internal loop controls the converter currents using PI and resonant controllers. In addition, the control systems required to operate the machine at other points, i.e., at medium and high rotational speeds, are also discussed in this paper. Experimental results obtained with an M <inline-formula><tex-math notation="LaTeX">$^{\text{2}}$</tex-math></inline-formula>C-based drive laboratory prototype with 18 power cells are presented in this paper.