Miracle-dz/UniFAR-FTUs huggingface dataset:
Endogenous Retroviruses in Domestic Animals

Endogenous retroviruses (ERVs) are genomic elements that are present in a wide range of vertebrates. Although the study of ERVs has been carried out mainly in humans and model organisms, recently, domestic animals have become important, and some species have begun to be analyzed to gain further insight into ERVs. Due to the availability of complete genomes and the development of new computer tools, ERVs can now be analyzed from a genome-wide viewpoint. In addition, more experimental work is being carried out to analyze the distribution, expression and interplay of ERVs within a host genome. Cats, cattle, chicken, dogs, horses, pigs and sheep have been scrutinized in this manner, all of which are interesting species in health and economic terms. Furthermore, several studies have noted differences in the number of endogenous retroviruses and in the variability of these elements among different breeds, as well as their expression in different tissues and the effects of their locations, which, in some cases, are near genes. These findings suggest a complex, intriguing relationship between ERVs and host genomes. In this review, we summarize the most important in silico and experimental findings, discuss their implications and attempt to predict future directions for the study of these genomic elements.
Accurate Vehicle Localization using DTW between Range Data Map and Laser Scanner Data Sequences

We propose a method for accurate vehicle localization. The proposed method detects a vehicle's location and traveling lane by matching between a pre-constructed range data map and laser scanner data sequences measured while the vehicle runs. The range data map consists of an absolute position on the road and range data at the position. We use dynamic time warping (DTW) to align multiple range data sequences. Experiments using 40 data sequences collected while a vehicle ran on the same route with multiple traffic lanes were conducted. The results demonstrated the effectiveness of vehicle localization and traveling lane classification.
Construire le sentiment d'efficacité personnelle en formation professionnelle supérieure

L'acquisition de competences est principalement le resultat d'un apprentissage autodirige. Dans la perspective du developpement en formation des competences, cet apprentissage autodirige est analyse a travers le role joue par l'auto-efficacite et l'organisation cognitive de l'activite. Notamment, des resultats de recherche montrent l'influence de l'analyse de l'activite sur la construction de l'auto-efficacite au travail.
Modeling of forced dermal wound healing using intelligent techniques

Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown but it is generally accepted that collagen synthesis, accumulation and organization are increased by mechanical stimuli, resulting in a forced healing process which improves mechanical properties of the damaged tissue. In this paper we focus on the neural networks and regard them as function approximators, and attempt to simulate remodeling phase of dermal wound healing process using neural networks as an intelligent technique.
A 200-GHz Inductively Tuned VCO With  $-$7-dBm Output Power in 130-nm SiGe BiCMOS

A highly efficient push-push voltage-controlled oscillator (VCO) with a new inductive frequency tuning topology for (sub) terahertz frequencies is presented. The tuning technique is based on a variable inductance seen at the emitter node of a base-degenerated transistor. The variable inductor exhibits high quality factor and high tuning range due to the tunable transistor transconductance via bias current. Fabricated in a 0.13- μm SiGe BiCMOS process, the VCO achieves a tuning range of 3.5% and an output power of -7.2 dBm at 201.5 GHz. The dc power consumption of the VCO is 30 mW, resulting in a high dc to RF power efficiency of 0.6% and a figure of merit (FoMT) of -165, which is the highest FoM for any silicon-based VCO reported to date at this frequency range. To demonstrate the functionality of the tuning technique, three VCO prototypes at different oscillation frequencies, including one operating in the 222.7-229-GHz range, are implemented and measured.
Catch the mark: Teaching data hiding by gaming

The use of digital media for improving the effectiveness of teaching methodologies in Universities is increasing. In this contribution the experience performed at University of Roma TRE is presented. Since 2005 an online contest is used in the Multimedia class for improving both knowledge and human interaction. This paper shows the competitive-collaborative learning scheme adopted and it reports the feedback received by the students that has been collected by means of a questionnaire. The obtained comments show the effectiveness of the proposed learning scheme.
Some remarks on gravitational analogs of magnetic charge

Existing mathematical results are applied to the problem of classifying closed p-forms which are locally constructed from Lorentzian metrics on an n-dimensional orientable manifold M(0<p<n). We show that the only closed, non-exact forms are generated by representatives of cohomology classes of M and (n-1)-forms representing n-dimensional (with n even) generalizations of the conservation of `kink number', which was exhibited by Finkelstein and Misner for n=4. The cohomology class that defines the kink number depends only on the diffeomorphism equivalence class of the metric, but a result of Gilkey implies that there is no representative of this cohomology class which is built from the metric, curvature and covariant derivatives of curvature to any finite order.
Effect of vitamins C and E on biomarkers of oxidative stress in nonsmokers

Background—Oxidative stress is elevated in obesity, and may be a major mechanism for obesityrelated diseases. Methods—Nonsmokers (n=396) were randomized to 1000 mg/day vitamin C, 800 IU/day vitamin E, or placebo, for two months. Treatment effect was examined in multiple regression analyses using an intention-to-treat approach. Results—Vitamin C (p=0.001) and vitamin E (p=0.043) reduced plasma F2-isoprostanes. In the overall sample, changes from baseline were +6.8%, −10.6%, and −3.9% for placebo, vitamin C, and vitamin E groups, respectively. However, a significant interaction with baseline F2-isoprostane was found. When baseline F2-isoprostane was > 50 μg/mL, vitamin C reduced F2-isoprostane by 22% (p=0.01). Vitamin E reduced it by 9.8% (p=0.46). Below that cut-point, neither treatment produced further reductions. F2-isoprostane > 50 μg/mL was strongly associated with obesity, and was present in 42% of the sample. Change in malondialdehyde concentration was minimal. Discussion—These findings suggest a role for vitamin C in reducing lipid peroxidation. Future research on effects of vitamins C or E on plasma F2-isoprostane should limit participants to those with baseline levels > 50 μg/mL. Further studies are needed to establish whether treatment with vitamins C or E in persons with concentrations above that cut-point could slow the development of cardiovascular disease.
A Graph Approach to Quantitative Analysis of Control-Flow Obfuscating Transformations

Modern obfuscation techniques are intended to discourage reverse engineering and malicious tampering of software programs. We study control-flow obfuscation, which works by modifying the control flow of the program to be obfuscated, and observe that it is difficult to evaluate the robustness of these obfuscation techniques. In this paper, we present a framework for quantitative analysis of control-flow obfuscating transformations. Our framework is based upon the control-flow graph of the program, and we show that many existing control-flow obfuscation techniques can be expressed as a sequence of basic transformations on these graphs. We also propose a new measure of the difficulty of reversing these obfuscated programs, and we show that our framework can be used to easily evaluate the space penalty due to the transformations.
Blind Video Tamper Detection Based on Fusion of Source Features

In this paper, we propose novel algorithmic models based on information fusion and feature transformation in cross-modal subspace for different types of residue features extracted from several intra-frame and inter-frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features -- the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for emulated copy-move tamper scenario shows a significant improvement in tamper detection accuracy as compared to single mode features without transformation in cross-modal subspace.
Virtual Multiresolution Screen Space Errors: Hierarchical Level-of-Detail (HLOD) Refinement Through Hardware Occlusion Queries

We present a novelty metric to perform the refinement of a HLOD-based system that takes into account visibility information. The information is gathered from the result of a hardware occlusion query (HOQ) performed on the bounding volume of a given node in the hierarchy. Although the advantages of doing this are clear, previous approaches treat refinement criteria and HOQ as independent subjects. For this reason, HOQs have been used restrictively as if their result were Boolean. In contrast to that, we fully exploit the results of the queries to be able to take into account visibility information within refinement conditions. We do this by interpreting the result of a given HOQ as the virtual resolution of a screen space where the refinement decision takes place. Our new error metric is general enough to be employed in any HLOD-based system as the quantity that guides its refinement. Despite its simplicity, in our experiments we obtained a meaningful performance boost (compared to previous approaches) in the frame-rate with almost no loss in image quality
Housing First, consumer choice, and harm reduction for homeless individuals with a dual diagnosis.

OBJECTIVES We examined the longitudinal effects of a Housing First program for homeless, mentally ill individuals' on those individuals' consumer choice, housing stability, substance use, treatment utilization, and psychiatric symptoms. METHODS Two hundred twenty-five participants were randomly assigned to receive housing contingent on treatment and sobriety (control) or to receive immediate housing without treatment prerequisites (experimental). Interviews were conducted every 6 months for 24 months. RESULTS The experimental group obtained housing earlier, remained stably housed, and reported higher perceived choice. Utilization of substance abuse treatment was significantly higher for the control group, but no differences were found in substance use or psychiatric symptoms. CONCLUSIONS Participants in the Housing First program were able to obtain and maintain independent housing without compromising psychiatric or substance abuse symptoms.
Biomechtronic design of a wearable upper dual-arm exoskeleton robot for lifting tasks

Robot technology is increasingly widely applied in medical field for rehabilitation, especially for the paralysis of stroke patients. In this paper, a new design concept of upper limb rehabilitation robot has been developed. The model is expected to perform three degrees of freedom that is rotation in horizontal and vertical planes. This system is of advantages in terms of light weight, dexterity size, and friendly interactive performance. Upper limb rehabilitative robot is able to simulate the motion of normal humans arm movements and to provide patients rehabilitative training to help them recover from illness. The proposed robot allows great freedom of movements of the operator.
Study and Implementation of a Current-Fed Full-Bridge Boost DC–DC Converter With Zero-Current Switching for High-Voltage Applications

This paper presents a comprehensive study of a current-fed full-bridge boost dc-dc converter with zero-current switching (ZCS), based on the constant on-time control for high-voltage applications. The current-fed full-bridge boost converter can achieve ZCS by utilizing the leakage inductance and parasitic capacitance as the resonant tank. In order to achieve ZCS under a wide load range and with various input voltages, the turn-on time of the boost converter is kept constant, and the output voltage is regulated via frequency modulation. The steady-state analysis and the ZCS operation conditions under various load and input-voltage conditions are discussed. Finally, a laboratory prototype converter with a 22-27-V input voltage and 1-kV/1-kW output is implemented to verify the performance. The experimental results show that the converter can achieve high output voltage gains, and the highest efficiency of the converter is 92% at full-load condition with an input voltage of 27 V.
Recent Advances on Locomotion Mechanisms of Hybrid Mobile Robots

Many types of hybrid mobile robots that combine the characteristics of wheeled robot and legged robot have been developed in the past two decades. This paper is aimed at presenting a survey on various hybrid mobile robots based on their respective implemented locomotion mechanism. The survey is done on several recently developed hybrid mobile robots by inspecting the design concept of their locomotion mechanism. Besides that, this paper also discusses the factors that influence the design of a robust robotics platform which are important to consider when designing a robot. This work will be useful as a preliminary reference point for those who want to design a hybrid mobile robot. Key–Words: hybrid mobile robots, robot locomotion, wheeled robots, autonomous robots
Clone Detection using Textual and Metric Analysis to figure out all Types of Clones

A Clone Detection approach is to find out the reused fragment of code in any application to maintain . Various types of clones are being identified by clone detection techniques. Since clone detection was evolved, it provides better results and reduces the complexity. A different clone detection tool makes the detection process easier and efficiently produces the results. In many existing system, it mainly focuses on line by line detection or token based detection to find out the clone in the system. So it makes the system to take long time to process the entire system. If the fragment of code are not at exact code but the functionalities makes it similar to each other. Then existing system doesn't figure out the clone of that type of clones in it. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clone in a given set of fragment of java source code. Various semantics had been formulated and their values were used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and gives accurate results
Telomere Maintenance Mechanisms in Cancer: Clinical Implications

The presence of immortal cell populations with an up-regulated telomere maintenance mechanism (TMM) is an almost univer-sal characteristic of cancers, whereas normal somatic cells are unable to prevent proliferation-associated telomere shortening and have a limited proliferative potential. TMMs and related aspects of telomere structure and function therefore appear to be ideal targets for the development of anticancer therapeutics. Such treatments would be targeted to a specific cancer-related molecular abnormality, and also be broad-spectrum in that they would be expected to be potentially applicable to most cancers. However, the telomere biology of normal and malignant human cells is a relatively young research field with large numbers of unanswered questions, so the optimal design of TMM-targeted therapeutic approaches remains unclear. This review outlines the opportunities and challenges presented by telomeres and TMMs for clinical management of cancer.
Semantic Retrieval of Multimedia by Concept Languages

D espite the quantum leap in computing performance, semantic retrieval of multimedia remains an unsolved problem. At the heart of the challenge is managing semantics. A retrieval engine works to bring together a set of documents that are relevant to a query. However, humans are endowed with such sophisticated relational competence that we effortlessly relate a concept to a great many others. For example, when we search for rose, we may relate it with a prickly fragrant flower, a person named Rose, or equally, a rock band called Guns N' Roses. Consequently, retrieving multimedia requires a means by which semantics can be specified and a mechanism through which relevant documents can be brought together. In this article, we describe a retrieval approach based on concept languages. We show how the latter can be used as a compelling means to express semantics and demonstrate how it can serve as an efficient mechanism to collocate documents.
Merging the worlds of atoms and bits : Augmented virtual environments

Interactive 3D visualization has found myriad applications in flight simulation, scientific visualization, training and education. This article reviews recent advancements in creating interactive augmented virtual environments that integrate digital information into the fabric of the physical world and enhance our sensory perceptions. physician is evaluating a patient lying on an exam table. To aid in her diagnosis, the doctor superimposes a 3D image of the patient's stomach and intestines in life-sized scale onto his ventral side. The doctor, wearing a goggle-like 3D display, may view the A dataset from different perspectives by changing her own viewpoint, or may instruct the patient to move his body to gain a better perspective. If the physician wishes to analyze a feature of the patient's internal physiology in more detail, she can grab and magnify the 3D image of this feature for viewing through an immersive room display, and even " fly " into the specified region by walking about the room. The medical images and other related digital information become an integrative part of the physical environment, and the doctor is able to freely navigate through the merged worlds of atoms and bits. A proof-of-concept demonstration for medical visualization. to characterize various visual displays. As illustrated in the figure above, the " real " world and entirely computer-generated virtual environments represent opposite poles of the spectrum. Excluding the poles, the segment toward the center is known as mixed reality. The left portion of the mixed reality segment represents augmented reality, where digital information is overlaid on a real-world scene, and the right is referred to as augmented virtuality, in which a virtual environment is selectively enhanced with real-world data. The major difference between mixed and virtual reality is that the former uses the physical world as its reference and scale to render virtual information correlated with its real counterpart, while the latter may have an arbitrary reference point and scale without correlation with the physical surroundings. Thus, a mixed reality system requires that the overlaid virtual information be aligned with the user's real-world senses—a process known as registration. This classical view of the RV continuum emphasizes the visual aspect of the transition between the physical and digital worlds. For instance, one of the very first visions for mixed reality interfaces is aimed at data visualization, where the goal is to correctly register virtual information relative to the real-world objects so that the viewer …
Regenerative capacity of the corneal endothelium in rabbit and cat.

Transcorneal freezing was used to destroy the central 10, 50, or 90 percent of the endothelium in rabbit and cat cornea. The regenerative process was studied in each species by pachometry, electron microscopy, and autoradiographic analysis of the incorporation of tritiated thymidine into nuclear DNA. In rabbit, extensive cellular division occurred at the margin of the wound; in most cases an endothelial monolayer made up of cells of normal size and morphology was re-established by 10 days, and corneal thickness returned to near normal in 4 to 30 days (depending on the extent of the original injury). Junctional complexes and extensive implication of lateral cell borders were present in the endothelium of rabbit corneas that had returned to normal thickness. By contrast, in cat, little cell division occurred and regenerative activity consisted of enlargement and migration of the cells at the margin of the wound. An intact monolayer was eventually formed, but the endothelial cells in central cornea remained enlarged and irregular in size and shape even after 1 month. Junctional complexes were rarely seen between these cells and they did not overlap normally. Corneal thickness remained elevated after 1 month in cat corneas in which 50 and 90 percent of the cells had been destroyed. These results suggest thai the regenerative capacity of the corneal endothelium in cat is more analogous to that of man. Cat will therefore provide a practical model for future studies of the effects of new intraocular surgical procedures, drugs, or devices on a "stressed" corneal endothelium.
Using differential morphological profiles for microaneurysm detection in diabetic retinal fundus images

Currently, the automation of screening of diabetic retinal fundus images is widely studied. It is essential for early detection of diabetic retinopathy. The automated systems involve accurate detection of lesions like microaneurysms as they play vital role in the grading of diabetes. This paper proposes microaneurysms detection in three simple steps. The coarse segmentation using Canny's edge gradient. The feature extraction using Differential Morphological Profiles and classification of regions. The Differential Morphological Profiles are used to provide local features like size, shape and intensity of the objects. The use of local information limits the need of high dimensional classification. The work also shows that the combination of differential morphological profile with statistical features increase classification accuracy.
Evaluation of Multi-Channel Flooding for Inter-Vehicle Communication

Flooding protocols are efficient for communications on instable network such as inter-vehicle communications because there is no necessity of complex procedures to build routes for data forwarding. In this paper, we propose a multi-channel flooding protocol using multi-interface WLAN terminals for improving robustness of communications. In simulation test, we show that packet loss rate can be reduced with parallel-redundant packet transmission using multi-channel, and transmission delay can also be reduced compared to serial-redundant packet transmission using single-channel. In experimental test, we confirm that the multi-channel flooding is also effective in real environment.
MULTI-SCALE TESTS FOR SERIAL CORRELATION RAMAZAN GENÇAY AND

This paper introduces a new family of portmanteau tests for serial correlation. Using the wavelet transform, we decompose the variance of the underlying process into the variance of its low frequency and of its high frequency components and we design a variance ratio test of no serial correlation in the presence of dependence. Such decomposition can be carried out iteratively, each wavelet filter leading to a rich family of tests whose joint limiting null distribution is a multivariate normal. We illustrate the size and power properties of the proposed tests through Monte Carlo simulations.