Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial Isolation on Realtime Hypervisor using Core-local Memory

Recently, the software of embedded systems grows increasingly complicated due to controversial needs of both rich functionalities and strict interrupt responsiveness. In order to deal with it, realtime virtualization technology for embedded systems is attracting interests. Virtualization allows multiple operating systems to run concurrently with minimal modifications, thus reduce the engineering cost. However, as the security of embedded systems getting more concerns in these days, current design of realtime hypervisor often makes it difficult to ensure the security without hardware virtualization support which is not widely available in the world of embedded systems. In this paper, we introduce Secure Pager which utilizes a common hardware design called core-local memory combined with check-sum based protections to enforce the spatial isolation without specific hardware virtualization support.
«Il est huit heures»: contribution à I’analyse sémantique de la vive voix

Abstract A trivial utterance was pronounced in 26 different ways by an actress according to 26 contexts. 80 subjects were asked to guess these contexts and to place the sentences on semantic scales (cf. OSGOOD and E. ULDALL). The success of message transmission varies between complete failure and almost total equivalence. Adequate vocal interpretations of suggested situations do not necessarily conjure up these situations when they are separated from their contexts. There is a kind of homonymy in the domain of vocal stylistic messages. The encoding and decoding of secondary messages, far from being a ‘natural’, ‘instinctive’ phenomenon, is a very complex process which presupposes coordination, the integration of a series of partial messages and the reconstruction of the total message from the partial ones. The most elementary and the most specific messages were transmitted with the least distortion. Vocal performance – intonation, stress, articulation – does not contain a direct reference to a concrete situation, it hints at the situation indirectly by the successive and/or simultaneous expression of different simple attitudes. The secondary vocal messages are yielded by an archaic code which works only with motivated signs. These signs are, at the same time, integrated, more or less perfectly into the linguistic code.
Comparison of rectal and tympanic core body temperature measurement in adult Guyanese squirrel monkeys (Saimiri sciureus sciureus)

Background Measuring core body temperature in a manner that is safe for animals and veterinary personnel is an important part of a physical examination. For nonhuman primates, this can involve increased restraint, additional stress, as well as the use of anesthetics and their deleterious effects on body temperature measurements. The purpose of this study was to compare two non‐invasive methods of infrared tympanic thermometry to standard rectal thermometry in adult squirrel monkeys.
Asana Uplift: Elevating Yoga Practice with Deep Learning and Raspberry Pi 4

In the world of increasing health disorders, Yoga is the most effortless way to stay fit and healthy without experiencing useless expenditures. It is an ancient Indian practice that enhances overall mental focus, endurance, balance, and clarity. People can do yoga by hiring qualified & professional yoga trainers from studios or on their own with the aid of the Internet. Majority of the people prefer self-learning online because going to a trainer can be challenging for them in their busy lives. The problem with learning yoga on one's own is that one might not be able to recognise a wrong posture, which could lead to long-term chronic issues, pain and injuries. As technology advances, there are advancements in computer vision that aim to automatically recognize human actions from images and videos and give reports on improving postures. These advancements can also be applied to healthcare, security and sports. Human action surveillance can also be applied to recognizing a yoga pose and letting the user know whether it is accurate. In this paper, we proposed a simple model that tracks the movement of different body parts and measures the correctness of various yoga postures for the user. The proposed model also provides the correction feedback for yoga poses on pre-recorded and real-time videos. The accuracy of the proposed model is 93.43%. The paper also discusses various other deep learning models that have emerged in recent times. The proposed work aims on contributing to the emerging field of technology-enabled assistance systems, which explores the capabilities and constraints of key point extraction for human body landmarks in combination with deep learning.
Language Policies for Hong Kong Schools since 1997.

Francis of Education (print)/1474-8479 (online) Article 2010 Language in education debates in Hong Kong focus on the role and status of English (as the former colonial language and an important means for international communication); Cantonese, the mother tongue of the majority of the population; and Putonghua, the national language of China. This paper examines the language policy formulated in 1997–1998, and finds that it radically departed from previous policies by mandating the use of Cantonese as the medium of instruction in secondary schools. The paper then analyses two subsequent policy revisions and concludes that, while the tonal emphasis on mother-tongue education has remained, the policy revisions have reversed the language policy to previous practices that emphasised the importance of English.
Disorders of Everyday Actions in Subjects Suffering from Senile Dementia of Alzheimer's Type: An Analysis of Dressing Performance

Dressing ability was studied in 25 subjects suffering from senile dementia of Alzheimer's type (SDAT). Performance was assessed by means of the Action Coding System of Schwartz et al. (1991, 1995) and a modified version of Optimage (Gendron & Levesque, 1993). Results showed that impairments of dressing ability were common in SDAT. Global measures of performance were found to correlate with severity of dementia as measured by the Reisberg, Ferris, DeLeon, and Crook (1982) Global Deterioration Scale and the Mini Mental State Examination. More detailed analyses showed that errors were more frequent in fastening than in the other components of the sequence (selecting, orienting, putting on, and adjusting pieces of clothes). In mildly impaired subjects, the most common errors were incorrect choices of clothing and unsatisfactory executions of basic action units, whereas in more severely impaired subjects, other kinds of error also occurred, mostly passivity. Methodological implications of these results are dra.
The prediction approach with Growing Hierarchical Self-Organizing Map

The competitive learning nature of the Growing Hierarchical Self-Organizing Map (GHSOM), which is an unsupervised neural networks extended from Self-Organizing Map (SOM), can work as a regularity detector that is supposed to help discover statistically salient features of the sample population. With the spatial correspondent assumption, this study presents a prediction approach in which GHSOM is used to help identify the fraud counterpart of each non-fraud subgroup and vice versa. In this study, two GHSOMs-a non-fraud tree (NFT) and a fraud tree (FT) are generated via the non-fraud samples and the fraud samples, respectively. Each (fraud or non-fraud) training sample is classified into its belonging leaf nodes of NFT and FT. Then, two classification rules are tuned based upon all training samples to determine the associated discrimination boundary within each leaf node, and the rule with better classification performance is chosen as the prediction rule. With the spatial correspondent assumption, the prediction rule derived from such an integration of FT and NFT classification mechanisms should work well. This study sets up the experiment of fraudulent financial reporting (FFR), a sub-field of financial fraud detection (FFD), to justify the effectiveness of the proposed prediction approach and the result is quite acceptable.
A Comparative Analysis of MU-NOMA IRS- and Relay-Assisted Symbiotic Radio IoT Networks

This work analyzes the energy-efficiency (EE) performance of two types of energy harvesting secondary networks (SN) in a symbiotic radio network (SRN) relationship with a multi-user non-orthogonal multi-access primary network. The first SN type comprises of a multiple secondary transmitters semi-passive (i.e., equipped with sensing capabilities) intelligent reflective surface using backscatter technology to communicate with a secondary receiver. While the second SN type consists of multiple multi-antenna decode-and-forward relaying sensors communicating with an SRN. Closed-form expressions are derived for the achievable EE, which correlate exactly with Monte Carlo simulations. In addition, the IRS-enabled SRN shows higher EE compared to the relay-enabled SRN due to lower power consumption and higher reflective surface spatial diversity.
NGF and GDNF ameliorate the increase in ATF3 expression which occurs in dorsal root ganglion cells in response to peripheral nerve injury

Activating transcription factor‐3 (ATF3) is a member of the ATF/CREB transcription factor superfamily and is induced in dorsal root ganglion (DRG) cells after nerve injury. In order to study the regulation of ATF3, we have examined the effect of nerve growth factor (NGF) and glial cell line‐derived neurotrophic factor (GDNF) on ATF3 expression. In untreated rats, sciatic nerve transection induced ATF3 immunoreactivity in 82% of L4 DRG cells at 14 days after axotomy. Intrathecal delivery of NGF or GDNF for 2 weeks commencing immediately after injury reduced the ATF3 expression to 35 and 23% of DRG cells, respectively. Cell size analysis indicated that NGF had protected a population of mainly small‐ to medium‐sized cells, but that the GDNF had protected a population of both small and large cells. This effect was confirmed by double labelling for P2X3, CGRP and 200 kDa neurofilament, markers for small peptide‐poor cells, peptide‐rich cells and large cells, respectively. Thus GDNF reduced the percentage of ATF3‐immunoreactive P2X3 cells from 70 to 4%, and the percentage of ATF3‐immunoreactive neurofilament cells from 63 to 24%. NGF was less effective than GDNF in reducing ATF3 expression in these cell types, but reduced the percentage of ATF3‐immunoreactive CGRP cells from 10% to < 1%. These results show that ATF3 expression in specific populations of DRG cells can be modulated by exogenous supplementation of specific trophic factors, and suggest that ATF3 expression may normally be induced by the loss of target‐derived NGF and GDNF.
Privacy-preservation for gradient descent methods

Gradient descent is a widely used paradigm for solving many optimization problems. Stochastic gradient descent performs a series of iterations to minimize a target function in order to reach a local minimum. In machine learning or data mining, this function corresponds to a decision model that is to be discovered. The gradient descent paradigm underlies many commonly used techniques in data mining and machine learning, such as neural networks, Bayesian networks, genetic algorithms, and simulated annealing. To the best of our knowledge, there has not been any work that extends the notion of privacy preservation or secure multi-party computation to gradient-descent-based techniques. In this paper, we propose a preliminary approach to enable privacy preservation in gradient descent methods in general and demonstrate its feasibility in specific gradient descent methods.
Process mining for recommender strategies support in news media

The strategic transition of media organizations to personalized information delivery has urged the need for richer methods to analyze the customers. Though useful in supporting the creation of recommender strategies, the current data mining techniques create complex models requiring often an understanding of techniques in order to interpret the results. This situation together with the recommender technologies deluge and the particularities of the news industry pose challenges to the news organization in making decisions about the most suitable strategy. Therefore, we propose process mining as a high-level, end-to-end solution to provide insights into the consumers' behavior and content dynamics. Specifically, we explore if it allows news organizations to analyze independently and effectively their data in order to support them in defining recommender strategies. The solution was implemented in a case study with the third largest news provider in Norway and yielded preliminary positive results. To our knowledge, this is the first attempt to apply a process mining methodology and adapt the techniques to support media industry with the recommender strategies.
On Versioning and Archiving Semantic Web Data

This paper concerns versioning services over Semantic Web (SW) repositories. We propose a novel storage index (based on partial orders), called POI, that exploits the fact that RDF Knowledge Bases (KBs) (a) have not a unique serialization (as it happens with texts) and (b) their versions are usually related by containment (⊆). We discuss the benefits and drawbacks of this approach in terms of storage space and efficiency both analytically and experimentally in comparison with the existing approaches (including the changebased approach). We report experimental results over synthetic data sets showing that POI offers notable space saving, e.g. compression ratio (i.e. uncompressed/compressed size) ranges between 1,800% and 18,163%, as well as efficiency in various cross version operations. POI is equipped with three version insertion algorithms and could be also exploited in cases where the set of KBs does not fit in main memory. Although the focus of this work is SW data versioning, POI can be considered as a generic indexing scheme for storing set-valued data.
Atrophic arthropathy and diabetic neuritis.

“ IABETIC osteopathy” is being reported with increasing frequency in the literature.L4,9 Review of the published illustrations reveals a mixture of diverse roentgenographic changes. These may reflect etiologies as diverse as infection, ischemia and neuropathy. Absorption, erosion and disappearance of bone alternate with osteosclerosis, periosteal proliferation, fragmentation and sequestration. Such a wide spectrum of lesions is entirely compatible with the pathophysiology of diabetes. Atherosclerosis, ulceration, gangrene, cellulitis, osteomyelitis and peripheral neuritis are well known complications of this disease, each one alone being capable of producing bone changes demonstrable on roentgenograms. The
Revisiting iris recognition with color cosmetic contact lenses

Over the years, iris recognition has gained importance in the biometrics applications and is being used in several large scale nationwide projects. Though iris patterns are unique, they may be affected by external factors such as illumination, camera-eye angle, and sensor interoperability. The presence of contact lens, particularly color cosmetic lens, may also pose a challenge to iris biometrics as it obfuscates the iris patterns and changes the inter and intra-class distributions. This paper presents an in-depth analysis of the effect of contact lens on iris recognition performance. We also present the IIIT-D Contact Lens Iris database with over 6500 images pertaining to 101 subjects. For each subject, images are captured without lens, transparent (prescription) lens, and color cosmetic lens (textured) using two different iris sensors. The results computed using VeriEye suggest that color cosmetic lens significantly increases the false rejection at a fixed false acceptance rate. Also, the experiments on four existing lens detection algorithms suggest that incorporating lens detection helps in maintaining the iris recognition performance. However further research is required to build sophisticated lens detection algorithm that can improve iris recognition.
Extended source effects in astrometric gravitational microlensing

Extended source size effects have been detected in photometric monitoring of gravitational microlensing events. We study similar effects in the centroid motion of an extended source lensed by a point mass. We show that the centroid motion of a source with uniform surface brightness can be obtained analytically. For a source with a circularly symmetric limb-darkening profile, the centroid motion can be expressed as a one-dimensional integral, which can be evaluated numerically. We find that when the impact parameter is comparable to the source radius, the centroid motion is significantly modified by the finite source size. In particular, when the impact parameter is smaller than the source radius, the trajectories become clover-leaf like. Such astrometric motions can be detected using space interferometers such as the Space Interferometry Mission. Such measurements offer exciting possibilities for determining stellar parameters, such as stellar radius, to excellent accuracy.
Dialects in Contact

minority aspirations and educational provisions; it also appears to strengthen the links betwen minority group members. In Chapter 6 the rationales for policy making on minority education are discussed. Governments generally base policy development on considerations of costs (in terms of public opinion, cost accounting and of ‘opportunity costs’) and of long-run societal goals. These goals are, of course, connected with the policy responses in Chapter 3 (e.g. whether it is desirable for the minority to integrate into majority society; whether the majority is expected to adapt also; whether minority members are regarded as permanent residents or expected to leave). The upshot of all this is that modern societies have, apparently, made their own policy choices which fit into a general model. To quote from the summary chapter:
Fidelity in Animal Modeling: Prerequisite for a Mechanistic Research Front Relevant to the Inflammatory Incompetence of Acute Pediatric Malnutrition

Inflammatory incompetence is characteristic of acute pediatric protein-energy malnutrition, but its underlying mechanisms remain obscure. Perhaps substantially because the research front lacks the driving force of a scholarly unifying hypothesis, it is adrift and research activity is declining. A body of animal-based research points to a unifying paradigm, the Tolerance Model, with some potential to offer coherence and a mechanistic impetus to the field. However, reasonable skepticism prevails regarding the relevance of animal models of acute pediatric malnutrition; consequently, the fundamental contributions of the animal-based component of this research front are largely overlooked. Design-related modifications to improve the relevance of animal modeling in this research front include, most notably, prioritizing essential features of pediatric malnutrition pathology rather than dietary minutiae specific to infants and children, selecting windows of experimental animal development that correspond to targeted stages of pediatric immunological ontogeny, and controlling for ontogeny-related confounders. In addition, important opportunities are presented by newer tools including the immunologically humanized mouse and outbred stocks exhibiting a magnitude of genetic heterogeneity comparable to that of human populations. Sound animal modeling is within our grasp to stimulate and support a mechanistic research front relevant to the immunological problems that accompany acute pediatric malnutrition.
Are geography students good “environmental citizens?” A comparison between year of study and over time

Are geography students good “environmental citizens? ” Has this improved over time with increasing emphasis on sustainability within higher education? This paper compares environmental attitudes and behaviours of geography students at different stages of their degree and over a seven-year period. The findings show that although geography students have an interest in environmental issues and feel a responsibility to educate others, this does not necessarily lead to pro-environmental behaviours, particularly more indirect behaviours. Environmental citizenship attributes in first year geography students show little change over seven years, other than where behaviours have been influenced by changes to the infrastructure around them.
Ghost Residual Networks for Image Companding

Image companding is a technique to convert a High Definition Resolution (HDR) image to Low Definition Resolution (LDR) image and convert it back to HDR image again. With the development of a convolutional neural network, the Ghost Substraction Additional Network (GSANet) is proposed as a method that can be used to perform image expanding or convert LDR image to HDR image. GSANet is created by utilizing the concept of residual learning to maintain its performance when the network deepens. In addition, ghost modules are used in GSANet, in order to produce a smaller number of parameters and computational costs. GSANet produces an average PSNR and average SSIM of 32.91 and 0.923 respectively which are better than the previous method.
Word-final consonant devoicing in a variety of working-class French – a case of language contact?

Abstract The article examines the variable distribution of word-final consonant devoicing (=WFCD) among working-class speakers in the Roubaix district, with respect to phonological conditioning and speaker characteristics. WFCD is shown to affect coronals, labials and velars in that order, and to be favoured by pre-pausal position. Among speakers over forty-five WFCD is primarily associated with female speakers, and to a lesser degree with male speakers under thirty. This sociolinguistically unusual distribution of a strongly vernacular variant may plausibly be attributed to language/dialect contact consequent on the immigration of Flemish-speaking textile workers. Such language contact would have tended to reinforce an already existing characteristic of Picard patois rather than introducing a totally new feature as the brief review of other Picard varie-ties would suggest.
Television “Violence” and Children with Emotional and Behavioral Disorders

The role of television viewing in the etiology and exacerbation of aggressive behavior has been a topic of controversy for many years, and popular sentiment supports a causal link between viewing “violent” content and behaving aggressively. To better understand television's effect on children who meet public school criteria for emotional disturbance (ED), the authors conducted a 10-year program of research into their television viewing habits, comprehension of and reactivity to aggressive- and nonaggressive-content material, and responsiveness to a viewing skills curriculum. Research findings showed that children with ED viewed relatively large amounts of violent material, preferred aggressive characters, and were more likely to believe fictional content to be true. However, they were no more likely to behave aggressively in naturalistic social situations following the viewing of aggression-laden material than nonaggressive content. A curriculum designed to enhance viewing skills did increase knowledge but did not appear to have a measurable effect on overt behavior.