Miracle-dz/UniFAR-FTUs huggingface dataset:
Keeping it under control: A new authentication scheme for RFID tags

The increasingly used Radio Frequency Identification (RFID) systems are facing with the security and privacy concerns for the illegitimate reading and potential tracking reason. Many schemes have been proposed by using of cryptographic technology, while they are lacking the people's involvement. In this paper, we propose a new crypto-based scheme that makes users involved in the tag's authentication process by using of physical privacy type assistant tags. Before identifying common tags, the reader needs to get some data from the assistant tags first. The data make the shared secret between the tag and the back-end database different. It not only keeps the tag can be read or not under user's control, but also makes the scheme safer even if the data on back-end database is revealed. Light weight block ciphers or hash functions can be employed in our scheme; a contrast of the performance is also given after the security and privacy analysis.
Study on the large-scale novel fiber sensor network based on cloud computing

The large-scale novel fiber sensor network based on cloud computing is proposed. The cross distribution of the fiber Bragg grating network and the distributed fiber sensor network expands in size of the fiber sensor network and realizes the three-dimensional measurement. Mass data acquisition and real-time analysis of the large-scale fiber sensor network have been a technology bottleneck. It can paralyze some network nodes. So the cloud computing technology is used to process mass data of large-scale fiber sensor network. It shares the work of one node to the other nodes, which not only reduces the operation load of single node, but also reduces the possible risks of the fiber sensor network.
Active Perception-Based Haptic Texture Sensor

Surface texture is one of the important cues for human beings to identify objects. Haptic texture measurement is necessary for object recognition by touch. This paper presents a novel design of a haptic texture sensor by imitating human active texture perception. A thin polyvinylidene fluoride (PVDF) film is used as the sensitive element to fabricate a high-accuracy, high-speed-response haptic texture sensor, and a mechanism is designed to produce the relative motion at a certain speed between the haptic texture sensor and the surface of the perceived object with constant contact force. Thus, the surface texture property can be measured as the output charge of the PVDF film of the sensor induced by the small height/depth variation of the moving object surface. The experiments reveal that the proposed active haptic sensor is effective in detecting the feature signals of surface texture, and the measurement signal can be used not only for the classification of the object surfaces, but also for haptic texture display in virtual reality.
For whom do we forgive? A functional analysis of forgiveness

We propose that people forgive to serve particular functions, depending on the extent to which forgiveness is intended to benefit the self, the offender, and their relationship. Three studies on personally experienced transgressions in valued relationships (N s = 233, 239, and 83) indicate that victims are more likely to forgive for the sake of the self and the relationship than for an offender. Relationship focus is associated with increased benevolence and relationship quality and decreased revenge and avoidance. Offender focus is associated with nonvengeful motivations. Self focus is associated with avoidance and lower relationship closeness; in the immediate aftermath of a transgression, it is also related to unforgiving responses and reduced relationship satisfaction. The findings have important implications for forgiveness theorizing and application.
STUDIES ON BACTERIAL PYROGENICITY. 3. SPECIFICITY OF THE UNITED STATES PHARMACOPEIA RABBIT PYROGEN TEST.

The specificity of the first or "presumptive" portion of the USP rabbit pyrogen test was investigated by use of a new absolute standard of reference. The reference standard was a 0.9% sodium chloride solution prepared to be pyrogen-free. Details of the preparation were described. The hypothesis was explored that the temperature response of rabbits after intravenous injection of the standard solution was independent of exogenous pyrogen. Reactions observed among the rabbits in our colony allowed a classification of these animals ranging from "consistently reliable" to "consistently unreliable. " Details of the experimental results and implications for pyrogen testing are discussed. The recommendation was made that all rabbit test animals be "screened" in sham and actual tests before being used for pyrogen testing.
Impact of Negative Emotion on the Neural Correlates of Long-Term Recognition in Younger and Older Adults

Some studies have suggested that the memory advantage for negative emotional information over neutral information (“negativity effect”) is reduced in aging. Besides the fact that most findings are based on immediate retrieval, the neural underpinnings of long-term emotional memory in aging have so far not been investigated. To address these issues, we assessed recognition of neutral and negative scenes after 1- and 3-week retention intervals in younger and older adults using functional magnetic resonance imaging. We further used an event-related design in order to disentangle successful, false, and true recognition. This study revealed four key findings: (1) increased retention interval induced an increased rate of false recognitions for negative scenes, canceling out the negativity effect (present for hit rates only) on discrimination in both younger and older adults; (2) in younger, but not older, adults, reduced activity of the medial temporal lobe was observed over time for neutral scenes, but not for negative scenes, where stable or increased activity was seen; (3) engagement of amygdala (AMG) was observed in older adults after a 3-week delay during successful recognition of negative scenes (hits vs. misses) in comparison with neutral scenes, which may indicate engagement of automatic processes, but engagement of ventrolateral prefrontal cortex was unrelated to AMG activity and performance; and (4) after 3 weeks, but not after 1 week, true recognition of negative scenes was characterized by more activity in left hippocampus and lateral occipito-temporal regions (hits vs. false alarms). As these regions are known to be related to consolidation mechanisms, the observed pattern may indicate the presence of delayed consolidation of true memories. Nonetheless, older adults’ low performance in discrimination of negative scenes could reflect the fact that overall, after long delays of retention, they rely more on general information rather than on perceptual detail in making recognition judgments.
Peak to Average Power Ratio Reduction for Multi-band OFDM System using Tone Reservation

OFDM and its extension Multi-band OFDM (MB-OFDM) are considered as the modulation schemes for many future communications systems. But these schemes cause high PAPR which should be reduced before power amplifi- cation otherwise non-linearities can occur. In this paper Tone Reservation method is used for OFDM PAPR reduction where a corrective signal is added to the original signal to reduce its PAPR. The effect of some corrective signal properties which influence the PAPR reduction performance are discussed. It is revealed that corrective signal’s bandwidth and power are proportional to PAPR reduction gain while the bandwidth gap between useful and corrective carriers is inversely proportional to the PAPR reduction gain. Finally MB-OFDM PAPR reduction is performed and it is demonstrated that PAPR reduction performed with corrective tones optimization over all OFDM symbols is more efficient but computationally more complex at the same time. This MB-OFDM PAPR reduction method can also be generalized for PAPR reduction of a Software Radio signal.
Program Repair by Stepwise Correctness Enhancement

Relative correctness is the property of a program to be more-correct than another with respect to a given specification. Whereas the traditional definition of (absolute) correctness divides candidate program into two classes (correct, and incorrect), relative correctness arranges candidate programs on the richer structure of a partial ordering. In other venues we discuss the impact of relative correctness on program derivation, and on program verification. In this paper, we discuss the impact of relative correctness on program testing; specifically, we argue that when we remove a fault from a program, we ought to test the new program for relative correctness over the old program, rather than for absolute correctness. We present analytical arguments to support our position, as well as an empirical argument in the form of a small program whose faults are removed in a stepwise manner as its relative correctness rises with each fault removal until we obtain a correct program.
Type I Diabetes Mellitus: Genetic Factors and Presumptive Enteroviral Etiology or Protection

We review type 1 diabetes and host genetic components, as well as epigenetics and viruses associated with type 1 diabetes, with added emphasis on the enteroviruses, which are often associated with triggering the disease. Genus Enterovirus is classified into twelve species of which seven (Enterovirus A, Enterovirus B, Enterovirus C, and Enterovirus D and Rhinovirus A, Rhinovirus B, and Rhinovirus C) are human pathogens. These viruses are transmitted mainly by the fecal-oral route; they may also spread via the nasopharyngeal route. Enterovirus infections are highly prevalent, but these infections are usually subclinical or cause a mild flu-like illness. However, infections caused by enteroviruses can sometimes be serious, with manifestations of meningoencephalitis, paralysis, myocarditis, and in neonates a fulminant sepsis-like syndrome. These viruses are often implicated in chronic (inflammatory) diseases as chronic myocarditis, chronic pancreatitis, and type 1 diabetes. In this review we discuss the currently suggested mechanisms involved in the viral induction of type 1 diabetes. We recapitulate current basic knowledge and definitions.
Performance analysis for convolutional coded CPM over rings

In this paper, we present upper bounds on the symbol error probability for convolutional encoded continuous phase modulation (CPM) over rings with maximum likelihood sequence detection (MLSD). Both coded CPM schemes with and without feedback from the CPM encoder to the ring convolutional encoder are considered. The bounds are based on the transfer function technique. The paper contribution is in the development of the analytical upper bound on the symbol error probability for the investigated system. The bound can be used as a tool to analyze and design ring convolutional encoded CPM systems.
Auditory Training: Rules and Applications

Auditory training is evidenced by a change in a listener's ability to perform an auditory perceptual task. The result of training - auditory learning - can occur very rapidly from a wide range of training scenarios. Scientific auditory training has the potential to revolutionize professional practice by providing highly efficient and quantitatively verifiable tools for the management of a range of listening/language impairments including auditory processing disorder, specific language and reading impairment, and sensorineural and conductive hearing loss. Our research has focused on discovering the rules of auditory learning and implementing those rules into useful applications. Surprising results have emerged on both fronts. Although training tasks may be too easy to produce optimal learning, the opposite is not true; we have shown robust learning on an impossibly difficult task, thereby emphasizing the importance of active engagement with the task. However, listening to sounds need not be a necessary component of the training - playing a visual spatial task (the computer game Tetris) led to improved performance on an auditory task. For language learning, several studies have found that auditory training using simple sounds can produce wide-ranging improvements in receptive language skills and literacy. Auditory learning includes enhancement of both top-down cognitive processing and bottom-up sensory processing. The most important outstanding issue is further understanding of the transfer of training - the relation between what is trained and what is learned.
Crystal structure of a conserved protease that binds DNA: the bleomycin hydrolase, Gal6

Bleomycin hydrolase is a cysteine protease that hydrolyzes the anticancer drug bleomycin. The homolog in yeast, Gal6, has recently been identified and found to bind DNA and to act as a repressor in the Gal4 regulatory system. The crystal structure of Gal6 at 2.2 A resolution reveals a hexameric structure with a prominent central channel. The papain-like active sites are situated within the central channel, in a manner resembling the organization of active sites in the proteasome. The Gal6 channel is lined with 60 lysine residues from the six subunits, suggesting a role in DNA binding. The carboxyl-terminal arm of Gal6 extends into the active site cleft and may serve a regulatory function. Rather than each residing in distinct, separable domains, the protease and DNA-binding activities appear structurally intertwined in the hexamer, implying a coupling of these two activities.
Effects of Responsibility for Illness and Social Acceptability on Reactions to People With AIDS: A Cross-Cultural Comparison

In this research, we examined how responsibility for illness (defined as having taken or not taken health precautions prior to becoming ill) and the social acceptability of the situation in which one acquires a disease (defined as being a drug addict or a laboratory worker) affected how German and American students reacted to a person ill with AIDS. Reactions included respondents' emotional responses, their willingness to allocate resources, and their perceptions of the fairness or unfairness of the depicted individual's plight. Results indicated that respondents reacted more positively toward the other with AIDS, were willing to distribute more resources to him, and saw his plight as being more unfair when he was depicted as being less responsible for his illness and when he became HIV infected in a more socially acceptable manner. Respondents from Germany were consistently more positive in their reactions than respondents from the United States. Also, respondents from Germany took differences in the pat.
Consistency Control Algorithm for the Cache of Voice Platform Based on VoiceXML

Using cache in the voice platform based on VoiceXML (voice extensible makeup language) could reduce the cost of network bandwidth, server-load and access delay. By analyzing the cache model of voice platform, the fitting & predicting algorithm is proposed. It estimates the validity of the cached document by performing parameter fits to stochastic distribution and predicting the change probability of VoiceXML documents within a certain period. Simulated research indicates the algorithm surpasses the Alex protocol and can obtain a stale ratio lower than 1/10000 to meet the demand of the voice platform while effectively enhance the system performance
Learning task constraints for robot grasping using graphical models

This paper studies the learning of task constraints that allow grasp generation in a goal-directed manner. We show how an object representation and a grasp generated on it can be integrated with the task requirements. The scientific problems tackled are (i) identification and modeling of such task constraints, and (ii) integration between a semantically expressed goal of a task and quantitative constraint functions defined in the continuous object-action domains. We first define constraint functions given a set of object and action attributes, and then model the relationships between object, action, constraint features and the task using Bayesian networks. The probabilistic framework deals with uncertainty, combines a-priori knowledge with observed data, and allows inference on target attributes given only partial observations. We present a system designed to structure data generation and constraint learning processes that is applicable to new tasks, embodiments and sensory data. The application of the task constraint model is demonstrated in a goal-directed imitation experiment.
Recalcitrant cutaneous warts treated with recombinant quadrivalent human papillomavirus vaccine (types 6, 11, 16, and 18) in a developmentally delayed, 31-year-old white man.

A 31-year-old white man with developmental delay and a history of epilepsy was seen in February 2008 with multiple warts on his hands that had been present for several years. He had previously been treated with podophyllin, 2 different concentrations of salicylic acid (25% and 40%), and oral cimetidine, and his regular medications included lamotrigine, valproate, topiramate, and levetiracetam. He denied other risk factors for human immunodeficiency virus (HIV) or AIDS and lived at home with his parents. He also denied a history of other autoimmune conditions and allergies and had no relevant family history of other illnesses or dermatologic conditions. On examination, we found that he had multiple hyperkeratotic warty lesions on the dorsal and palmar aspects of his hands bilaterally (Figure 1). In addition, he had multiple warts on his chin, both knees, and right third metatarsophalangeal joint. In total, he had about 30 warts, the largest of which was on the right thumb. Several additional treatments were tried, including cryotherapy and 6 weeks of nightly application of imiquimod cream. We considered acitretin therapy, but this was not initiated owing to his neurologists’ concerns about potential interactions with his antiepileptic medications. Owing to the persistence and extensive nature of the warts, we performed a complete blood cell count; tests for electrolyte, urea, creatinine, and fasting glucose levels; liver function tests; thyroid function tests; and an HIV screen, the results of which were all normal. No human papillomavirus (HPV) typing was performed. A genetic underlying immune deficiency was thought to be very unlikely, given his relatively older age at presentation. The patient denied having a sexual partner, and no genital warts were found on examination. The patient and his family also denied a history of genital warts. THERAPEUTIC CHALLENGE
ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)

This paper briefly reports our submissions to the two subtasks of Semantic Analysis in Twitter task in SemEval 2013 (Task 2), i.e., the Contextual Polarity Disambiguation task (an expression-level task) and the Message Polarity Classification task (a message-level task). We extract features from surface information of tweets, i.e., content features, Microbloggingfeatures, emoticons, punctuationand sentiment lexicon, and adopt SVM to build classifier. For subtask A, our system on twitter data ranks 2 on unconstrained rank and on SMS data ranks 1 on unconstrained rank.
Evidence for the involvement of 5-lipoxygenase products in ethanol-induced intestinal plasma protein loss.

In this study we investigated whether the products of 5-lipoxygenase (5-LO) were involved in the jejunal microvascular injury induced by intraluminal ethanol (ETH). A group of rabbits was given orally a selective inhibitor of 5-LO (L-651,392, Merck Frosst Canada) in two 10-mg doses, 24 and 2 h before the experiments (treated group). Another group received no such treatment (untreated group). In each animal of both groups, a jejunal segment was perfused with a control solution (control segment) and an adjacent segment with an ETH-containing (6% wt/vol) solution (ETH-perfused segment). In a series of experiments, we measured 5-LO activity of the jejunal segments of both groups using the generation of leukotriene B4 (LTB4) as an index. In a second series of experiments, we determined the ETH-induced intraluminal protein loss, which was taken as a measure of mucosal microvascular damage. In the untreated group, LTB4 generation (pg/mg tissue) by the ETH-treated segment (2.49 +/- 0.70) was higher (P less than 0.005) than that by the control segment (0.68 +/- 0.14). In the treated group, the LTB4 generation decreased (P less than 0.05) both in the control (0.15 +/- 0.03) and the ETH-perfused segments (0.44 +/- 0.09), but the difference between the two segments still remained significant. ETH caused a 13-fold increase (P less than 0.01) in jejunal protein loss in the untreated group but only a 5-fold increase (P less than 0.05) in the treated group. The ETH-induced increase in protein loss was significantly lower in the treated than in the untreated group (P less than 0.05). (ABSTRACT TRUNCATED AT 250 WORDS)
Estimating in-plane rotation angle for face images from multi-poses

Classical face detection algorithm works on only near frontal faces. Extending it to other poses and in-plane rotated faces require separately trained classifiers which increases both the training and processing time. We solve this instead by developing a reference model that is capable of detecting upright faces in various poses. Then a probabilistic framework is used to estimate occurrence of in-plane rotated faces. Experimental results showed that the proposed approach can achieve face detection accuracy comparable to state-of-the-art approaches but returns more accurate in-plane rotation angle estimation and is much faster. Unlike other approaches, the proposed method is easy to train, requiring only a small number of images and only one manually labeled face image.
Predicting dialogue success, naturalness, and length with acoustic features

Statistical methods for Spoken Dialogue Systems have been shown to reduce the cost of development, while successfully handling a variety of applications. However, such systems are usually trained with simulated users or paid subjects in controlled settings. While this may be sufficient to jump-start learning in the various sub-components, learning is very much dependent on the complete knowledge that we have about the interaction. Relatively few works have focused on this problem, and we here propose to extract low-level audio descriptors and use them as input to various classifiers, namely support vector machines, Gaussian process regressors, and random forests, to predict metrics that are constituents of user satisfaction from acoustic features. While our approach is not directly comparable to the current state of the art, results show that models using the proposed feature set outperform models that use state of the art features extracted from the belief state.
Familiars: representing Facebook users' social behaviour through a reflective playful experience

In this paper, we describe the design and development of a social game called Familiars. Inspired by the daemons in Pullman's "Dark Material" trilogy, Familiars are animal companions that sit on your Facebook profile and change into different animal forms based on your social activity within the social network of Facebook. Familiars takes advantage of the powerful capabilities of the developers platform of Facebook to build a multi-dimensional picture of a player's state based on social activity, facial expression analysis on photographs and suggestions from friends. This rich information is then distilled and presented to the player in the form of animal that the familiar chooses to take. We show how the types of animals and personalities were associated in a cross-cultural user study, and present quantitative results from the social behaviours of the players within the game in addition to qualitative data gathered from questionnaire responses.