Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Detection with HoG Algorithm

In this project, based on Histograms of Oriented Gradients (HOG) feature extraction algorithm, the DSP system for imager system detecting humans for autonomous vehicle will be implementing. This object-of-interest (OOI) imaging system provide image information with wide field of view, which could cover the field of view where driver could recognized. By adapting this technique, our system will provide human detection result and then warn to driver. As the result, this system could help to decrease the pedestrian fatalities. Keywords—HoG feature extraction algorithm
From Images To Images: The ALADIN project

Scholars in the field of historical research have used iconographic databases for a long time. The rise of the Internet led numerous libraries and research center to envisage the sharing of this scientific patrimony with the general public. But such a popularization project cannot be undertaken wlthout reassessing the initial orientation of the database. This communication presents the results of tests carried out as part of a digitization project undertaken by a team of librarians and historians. After an in-depth analysis of the process of image reading, we suggest new ways to access and index images. First, we propose an overview interface to allow for a constant dialog between the user and the archive; secondly, we have recourse to the concept of "scenotype" to better understand image reading and to conceive an innovative indexing method.
A Low-Complexity Multistage Receiver for Multiuser Detection of CDMA with Turbo and Space-time Block Coding

The combination of Turbo codes and space-time block codes is studied for use in CDMA systems. Each user's data are rst encoded by a Turbo code. The Turbo coded data are next sent to a space-time block encoder employing a BPSK constellation. The space-time encoder output symbols are transmitted through the fading channel using multiple antennas. A multistage receiver is proposed using non-linear MMSE estimation and a parallel interference cancellation scheme. Simulations show that with reasonable levels of multiple access interference (0:3), near single user performance is achieved.
Sequential experimental designs for stochastic kriging

Recently the stochastic kriging (SK) methodology proposed by Ankenman et al. (2010) has emerged as an effective metamodeling tool for approximating a mean response surface implied by a stochastic simulation. Although fruitful results have been achieved through bridging applications and theoretical investigations of SK, there lacks a unified account of efficient simulation experimental design strategies for applying SK metamodeling techniques. In this paper, we propose a sequential experimental design framework for applying SK to predicting performance measures of complex stochastic systems. This framework is flexible; i.e., it can incorporate a variety of design criteria. We propose several novel design criteria under the proposed framework, and compare the performance with that of classic non-sequential designs. The evaluation uses illustrative test functions and the well-known M/M/1 and the (s, S) inventory system simulation models.
The Brain Activity in Brodmann Area 17: A Potential Bio-Marker to Predict Patient Responses to Antiepileptic Drugs

In this study, we aimed to predict newly diagnosed patient responses to antiepileptic drugs (AEDs) using resting-state functional magnetic resonance imaging tools to explore changes in spontaneous brain activity. We recruited 21 newly diagnosed epileptic patients, 8 drug-resistant (DR) patients, 11 well-healed (WH) patients, and 13 healthy controls. After a 12-month follow-up, 11 newly diagnosed epileptic patients who showed a poor response to AEDs were placed into the seizures uncontrolled (SUC) group, while 10 patients were enrolled in the seizure-controlled (SC) group. By calculating the amplitude of fractional low-frequency fluctuations (fALFF) of blood oxygen level-dependent signals to measure brain activity during rest, we found that the SUC patients showed increased activity in the bilateral occipital lobe, particularly in the cuneus and lingual gyrus compared with the SC group and healthy controls. Interestingly, DR patients also showed increased activity in the identical cuneus and lingual gyrus regions, which comprise Brodmann’s area 17 (BA17), compared with the SUC patients; however, these abnormalities were not observed in SC and WH patients. The receiver operating characteristic (ROC) curves indicated that the fALFF value of BA17 could differentiate SUC patients from SC patients and healthy controls with sufficient sensitivity and specificity prior to the administration of medication. Functional connectivity analysis was subsequently performed to evaluate the difference in connectivity between BA17 and other brain regions in the SUC, SC and control groups. Regions nearby the cuneus and lingual gyrus were found positive connectivity increased changes or positive connectivity changes with BA17 in the SUC patients, while remarkably negative connectivity increased changes or positive connectivity decreased changes were found in the SC patients. Additionally, default mode network (DMN) regions showed negative connectivity increased changes or negative changes with BA17 in the SUC patients. The abnormal increased in BA17 activity may be a key point that plays a substantial role in facilitating seizure onset.
Bmc Evolutionary Biology the Evolution of Nuclear Auxin Signalling

Background: The plant hormone auxin directs many aspects of plant growth and development. To understand the evolution of auxin signalling, we compared the genes encoding two families of crucial transcriptional regulators, AUXIN RESPONSE FACTOR (ARF) and AUXIN/INDOLE-3-ACETIC ACID (Aux/IAA), among flowering plants and two non-seed plants, Physcomitrella patens and Selaginella moellendorffii.
A NOVEL BIOMETRIC APPROACH FOR AUTHENTICATION IN PERVASIVE COMPUTING ENVIRONMENTS

The paradigm of embedding computing devices in our surrounding environment has gained more interest in recent days. Along with contemporary technology comes challenges, the most important being the security and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasive devices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this work, we propose an emerging scheme that is based on few exclusive human traits and characteristics termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and retinal scanning algorithms have been discussed which promises achievement of accurate results. The performance and vast applications of these algorithms on pervasive computing devices is also addressed.
An empirical analysis of a testability model for object-oriented programs

We present, in this paper, a metric based testability model for object-oriented programs. The model is, in fact, an adaptation of a model pro-posed in literature for assessing the testability of object-oriented design. The study presented in this paper aims at exploring empirically the capa-bility of the model to assess testability of classes at the code level. We investigate testability from the perspective of unit testing and required testing effort. We designed an empirical study using data collected from two Java software systems for which JUnit test cases exist. To capture testability of classes in terms of required testing effort, we used different metrics to quantify the corresponding JUnit test cases. In order to eva-luate the capability of the model to predict testability of classes (charac-teristics of corresponding test classes), we used statistical tests using correlation.
Norms of Behaviour and Their Identification and Verification in Open Multi-Agent Societies

Norms have an obvious role in the coordinating and predicting behaviours in societies of software agents. Most researchers assume that agents already know the norms of their societies beforehand at design time. Others assume that norms are assigned by a leader or a legislator. Some researchers take into account the acquisition of societies’ norms through inference. Their works apply to closed multi-agent societies in which the agents have identical (or similar) internal architecture for representing norms. This paper addresses three things: 1) the idea of a Verification Component that was previously used to verify candidate norms in multi-agent societies, 2) a known modification of the Verification Component that makes it applicable in open multi-agent societies, and 3) a modification of the Verification Component, so that agents can dynamically infer the new emerged and abrogated norms in open multi-agent societies. Using the JADE software framework, we build a restaurant interaction scenario as an example (where restaurants usually host heterogeneous agents), and demonstrate how permission and prohibition of behavior can be identified by agents using dynamic norms.
Rheology of Grouts for Masonry Injection

Grout injection technique applied in a multiple leaf masonry walls aims at increasing the compactness of the masonry and, therefore, improving their monolithic behaviour by bonding the separated segments together without compromising the architectural value of the masonry building. The success of the injection grouts depends mainly on their rheological properties. This means that the flow properties of fresh grouts are as important as their properties in the hardened state, since they govern the ability of the grout to flow and fill the voids within masonry. In practice, the variability of voids within masonry requires ability to fine tune the rheological properties of the grout, in order to optimal fill all voids with grout. So, models were developed with the main purpose of predict and control the rheological properties of grouts just performing simple flow tests traditionally used in the field. It is well known that flow tests commonly performed (such as Marsh cone and slump test), which try to describe the workability of cementitious materials, only give a qualitative result that can not be expressed in physical rheological units. However, the proposed models allow calculating a physical parameter (e.g. viscosity) instead of an empirical one (e.g. fluidity). This research shows the effect of grout design variables on the properties of natural hydraulic lime grouts based on the correlation between rheometry measurements and simple flow tests. Furthermore, the proposed models can be very useful to smooth the grout design methodology, since these models enable the prediction of rheological properties of the grout without the need for expensive and complex equipment, such as rheometers or viscometers.
Residual stress development and relief in high strength aluminium alloys using standard and retrogression thermal treatments

Abstract Residual stresses develop in the aluminium alloy 7010 when the material is quenched from the solution heat treatment temperature. Residual stress measurements have been made using the X-ray diffraction technique and a longitudinal split sawcut method to determine the magnitude of residual stress that develops in specimens sectioned from large open die forgings as a result of (a) quenching these specimens into water at different temperatures, and (b) cold water quenching from different furnace temperatures. Residual stress reductions as a result of retrogression and reaging and standard thermal treatments have been determined. The longitudinal split sawcut technique is used to demonstrate the viability of a cheap, rapid technique for determining surface stress magnitudes in specimens of suitable geometry. The variation in room temperature tensile properties of 7010 with natural aging time has also been determined. The surface residual stress magnitudes can significantly exceed the as quenched materials uniaxial limit of proportionality.
Smartphone applications to reduce alcohol consumption and help patients with alcohol use disorder: a state-of-the-art review

Hazardous drinking and alcohol use disorder (AUD) are substantial contributors to USA and global morbidity and mortality. Patient self-management and continuing care are needed to combat these public health threats. However, services are rarely provided to patients outside of clinic settings or following brief intervention. Smartphone applications (“apps”) may help narrow the divide between traditional health care and patient needs. The purpose of this review is to identify and summarize smartphone apps to reduce alcohol consumption or treat AUD that have been evaluated for feasibility, acceptability, and/or efficacy. We searched two research databases for peer-reviewed journal articles published in English that evaluated smartphone apps to decrease alcohol consumption or treat AUD. We identified six apps. Two of these apps (A-CHESS and LBMI-A) promoted self-reported reductions in alcohol use, two (Promillekoll and PartyPlanner) failed to promote self-reported reductions in alcohol use, and two (HealthCall-S and Chimpshop) require further evaluation and testing before any conclusions regarding efficacy can be made. In summary, few evaluations of smartphone apps to reduce alcohol consumption or treat AUD have been reported in the scientific literature. Although advances in smartphone technology hold promise for disseminating interventions among hazardous drinkers and individuals with AUD, more systematic evaluations are necessary to ensure that smartphone apps are clinically useful.
Effects of Amorphous and Nanocrystalline Inoculants on the Micro-Structure and Mechanical Behavior of Fe-Si-Mn Steels

In order to increase the modifying effect, the Fe-V-Nb alloy was rapidly solidified with melt-spin method, and the nano-sized ribbon was gained at 40-45 rad/s. Subsequently, Fe-Si-Mn spring steels was modified by amorphous and nanocrystalline. The results show that the microscopic structure of Fe-Si-Mn spring steels modified by amorphous and nanocrystalline is better than micro-alloyed with the same amount of niobium and vanadium, the mechanical properties of Fe-Si-Mn spring steels modified by Fe-V-Nb intermediate alloy are improved evidently: the yield-strength is reached to 1484 Mpa, the yield ratio is reached to 0.94 and the hardness is reached to 64HRC when specimens quenched.
Stabilization of the beatnote of a 1.5 μm dual-frequency laser using a fiber-optic delay line

This paper reports on the stabilization of the beatnote of a dual-frequency laser on an optical fiber delay line, in a similar way as the one used for the stabilization of a microwave oscillator. This study paves the way to the realization of widely tunable, low phase noise sources of optically carried microwave signals.
Performance analysis of open-source Linux-based HIP implementations

Traditional Internet architecture allows a host and its location to be identified using only Internet Protocol (IP) address. Host Identity Protocol (HIP) separates the dual role of IP addresses as the locator and the identifier and introduces a Host Identity (HI) name space, based on a public key security infrastructure. This change allows applications to use HIs instead of IP addresses at the transport layer, hence offering secure host mobility and multihoming capabilities. This modification to traditional Internet architecture raises concerns from both industries and researchers as to what extent it will affect the ideal performance of a network. In this article, we offer a performance evaluation of two open-source Linux-based HIP implementations, HIP on Linux (HIPL) and OpenHIP. Performance is evaluated on throughput (TCP and UDP), jitter, and end-to-end latency. To account for a heterogeneous mix of network types, different network scenarios were set up on a real world testbed. Based on the outcome of the experiments, we highlight the limitations of each implementation as well as their suitable industrial applications. We further suggest possible modifications to improve the performance of each approach.
In vivo pharmacology in drug discovery and development.

These Annotations and Reflections are based on a symposium held in September 2004 by the Danish Society of Pharmacology and Toxicology. The symposium took place in the historical auditorium from 1856 at The Royal Veterinary and Agricultural University, Copenhagen. The symposium was organised with the aim to highlight the status and essentials of in vivo pharmacology in the process of discovering and developing new therapeutic agents. This is a crucial area in the process of drug research and development. The importance can be substantiated by the high number of drug candidates that have failed in the clinical phase of drug development in the recent decade. Thus, US FDA Commissioner, Dr. Lester M. Crawford, has stated that historically 14% of tested products had gained regulatory approval and entered the market, but today the chance of a candidate drug entering Phase I trials is only 8%. In the past, a product failure rate in late stage Phase III trials of 20% was common; however, this figure is now close to 50% (Crawford 2004). The loss of invested efforts is tremendous such as intellectual properties, patient expectations and maybe most of all, financially. The most obvious reasons for the clinical failure of potential drug candidates are poor or inadequate preclinical prediction of clinical efficacy, safety pharmacology or potential toxicity. This means that the animal models used to predict these effects have been inadequate to the purpose and underline the urgent need for development of more reliable models. The failures cannot be taken as an indication that animal models are not useful, rather that the models need refinement for the purpose. Within different therapeutic areas new drug targets are constantly being developed as a consequence of basic research in the understanding of the disease pathogenesis and pathophysiology. The new targets are initially in the hands of molecular and cellular biologists who have deep insight
Decoding Representations of Scenes in the Medial Temporal Lobes

Recent theoretical perspectives have suggested that the function of the human hippocampus, like its rodent counterpart, may be best characterized in terms of its information processing capacities. In this study, we use a combination of high‐resolution functional magnetic resonance imaging, multivariate pattern analysis, and a simple decision making task, to test specific hypotheses concerning the role of the medial temporal lobe (MTL) in scene processing. We observed that while information that enabled two highly similar scenes to be distinguished was widely distributed throughout the MTL, more distinct scene representations were present in the hippocampus, consistent with its role in performing pattern separation. As well as viewing the two similar scenes, during scanning participants also viewed morphed scenes that spanned a continuum between the original two scenes. We found that patterns of hippocampal activity during morph trials, even when perceptual inputs were held entirely constant (i.e., in 50% morph trials), showed a robust relationship with participants' choices in the decision task. Our findings provide evidence for a specific computational role for the hippocampus in sustaining detailed representations of complex scenes, and shed new light on how the information processing capacities of the hippocampus may influence the decision making process. © 2011 Wiley Periodicals, Inc.
Glucose lowering treatment in patients with coronary artery disease is prognostically important not only in established but also in newly detected diabetes mellitus: a report from the Euro Heart Survey on Diabetes and the Heart.

AIMS Glucose lowering (GL) therapy in patients with diabetes mellitus (DM) and coronary artery disease (CAD) is prognostically important. This report from the Euro Heart Survey on Diabetes and the Heart describes present practice in relation to 1 year prognosis. METHODS AND RESULTS The survey enrolled 4676 patients with CAD from 110 centres out of whom 1425 had known and 452 newly detected DM. The impact of different GL modalities on cardiovascular events (CVE: death, myocardial infarction, or stroke) was followed. Insulin treated patients with known DM (n = 378) had an adjusted 1 year hazard ratio (HR) for mortality of 2.23 (95% CI 1.24-4.03; P = 0.006) and for CVE of 1.27 (95% CI 0.85-1.87; P = 0.230) compared with those on oral GL drugs (n = 675). Of patients with newly detected DM 77 (17%) were started on GL drugs. None of them died compared with 25 (P = 0.002) among those without such treatment and their 1 year CVE HR was 0.22 (95% CI 0.05-0.97; P = 0.041) compared with untreated subjects. CONCLUSION Insulin therapy may relate to a more serious prognosis in CAD-patients with DM. There was a pronounced decrease in cardiovascular events in patients with newly detected DM prescribed GL drugs compared with those not receiving such treatment.
Incremental probabilistic geometry estimation for robot scene understanding

Our goal is to give mobile robots a rich representation of their environment as fast as possible. Current mapping methods such as SLAM are often sparse, and scene reconstruction methods using tilting laser scanners are relatively slow. In this paper, we outline a new method for iterative construction of a geometric mesh using streaming time-of-flight range data. Our results show that our algorithm can produce a stable representation after 6 frames, with higher accuracy than raw time-of-flight data.
MoveFree: A ubiquitous system to provide women safety

With surveys of what is happening around us, it is beyond any argument to state that women are not safe enough to move freely alone. It is high time for the women to give a good retort to the society and raise their voice against the crimes that are taking place regularly. Pervasive computing with its omnipresent nature is emerging with a revolutionary approach towards technological growth. Anything and everything of the surroundings can be made to act as a computing device using the concept of pervasive computing. This paper makes use of the ever-present nature of pervasive computing to provide security to women. The work of this paper aims at designing a pervasive system comprising of a wearable computer that will act as a guardian angel for women in danger. The design of the system makes use of body area sensors, Bluetooth communication, GPS, SMS and MMS, Internet connection and mobile database system. A machine learning approach based on supervised classification is used to determine whether a woman is in danger. A prototype of the system is implemented in android.
Isolation, Characterization, and Cloning of Porcine Complement Component C71

Activation of the complement system through the classical, alternative, or lectin pathway results in the formation of the terminal complement complex. C7 plays an integral role in the assembly of this complex with target cell membranes. To date, only human C7 has been cloned and characterized; thus, in this study, we characterized the porcine complement component C7. Porcine C7 was isolated by affinity chromatography as a single glycoprotein with an approximate molecular mass of 90 kDa and 100 kDa under reducing and nonreducing conditions, respectively. The full-length porcine C7 cDNA was isolated, and the predicted amino acid sequence exhibited 80% identity with human C7 with conservation of the cysteine backbone and two putative N-linked glycosylation sites. Porcine C7 mRNA expression was detected in all tissues investigated, except polymorphonuclear and mononuclear leukocytes. Addition of purified porcine C7 restored the hemolytic activity of C7-depleted human sera in a dose-dependent manner. A functionally inhibitory mAb against porcine C7 attenuated the hemolytic activity of human, rabbit, or rat sera, suggesting an important conserved C7 epitope among species. These data demonstrate that porcine and human C7 are highly conserved, sharing structural and functional characteristics.