Miracle-dz/UniFAR-FTUs huggingface dataset:
Autism : a look into cause and treatment

This paper reviews the literature on the etiology and treatment of autism in an attempt to answer three questions. First, what are the main theories on the cause of autism? To answer this the theories of the psychoanalytic, behavioral, and biological perspectives are examined. Second, what treatment methods are available for children with autism? Ideas on treatment are discussed from each of. the three perspectives. In addition, UCLA's Young Autism Project and Project TEACCH are covered. Third, what is the nature of treatment? The importance of specific treatment in the areas of language, social skills and daily living skills is reported. This open access graduate research paper is available at UNI ScholarWorks: https://scholarworks.uni. edu/grp/637 HOME-SCHOOL COLLABORATION:
A Study of the In uence of Trust in Coalition Formation

In multiagent systems, agents may form coalitions in order to cooperatively achieve their goals. Assuming that agents are sel sh, or potentially unreliable, they should implement some mechanism to deal with the uncertainty arising from the cooperation. Trust is usually chosen as the mechanism for modeling and reasoning about agents' reliability. Hence, this work presents an agent-based simulation model composed of agents who play the spatial prisoner's dilemma game and take into account the notion of trust to form coalitions. Moreover, some experiments are performed and their results suggest that in some cases the notion of trust signi cantly in uences the coalition dynamics.
The value of 18F-fluorodeoxyglucose-positron emission tomography/ computed tomography (18F- FDG PET/CT) in the staging and impact on the management of patients with nasopharyngeal carcinoma

This study sought to prospectively evaluate the influence of contrasted fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDGPET/CT) in the staging of and impact on the management plan for treatment in patients with nasopharyngeal carcinoma (NPC). A total of 14 histologically proven NPC patients (mean age: 44.64±4.01years) were included in the study. These patients underwent contrasted Computed Tomography (CT) as well as 18F-FDGPET/CT imaging. Staging was based on the 7th edition of the American Joint Committee on Cancer Tumor Node Metastases (AJCC-TNM) recommendations. The oncologist was asked to prospectively assign a treatment plan for all patients being evaluated by CT and 18F-FDGPET/CT. The treatment plans were compared with the incremental information supplied by the FDG-PET/CT. The maximum standardised uptake value (SUVmax) and the widest dimension of the primary tumour, cervical lymph nodes size and the distant metastatic lesions were quantified on the co-registered PET/CT images by two experienced nuclear radiologists. The contrasted 18F-FDGPET/CT changed the management intent in nine patients (64.7%). A univariate analysis showed that there were significant correlations between SUVmax and the size of the metastatic lymph nodes (R2 =0.0761, p<0.01), lymph node volume (R2=0.695, p<0.01) and the T-stage (R2=0.647, p<0.01). Multiple linear regression analysis revealed the tumour SUVmax to be the independent predictor of the T-stage (adjusted R2=0.889, p<0.05). The SUVmax may potentially be a surrogate marker for the T-stage in the NPC patients. The use of the combined imaging modality, 18F-FDGPET/CT, substantially impacted on the management strategy for treatment of NPC patients.
Molecular mechanism of Zn 2 + agonism in the extracellular domain of GPR 39

Ala substitution of potential metal-ion binding residues in the main ligand-binding pocket of the Zn-activated G protein-coupled receptor 39 (GPR39) receptor did not decrease Zn potency. In contrast, Zn stimulation was eliminated by combined substitution of His and His, located in the N-terminal segment. Surprisingly, substitution of Asp located in extracellular loop 3 greatly increased ligand-independent signaling and apparently eliminated Zn-induced activation. It is proposed that Zn acts as an agonist for GPR39, not in the classical manner by directly stabilizing an active conformation of the transmembrane domain, but instead by binding to His and His in the extracellular domain and potentially by diverting Asp from functioning as a tethered inverse agonist through engaging this residue in a tridentate metal-ion binding site. 2008 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
Hepatoprotective Activity of Citrullus Lanatus Seed Oil on CCl 4 Induced Liver Damage in Rats

The present study aimed evaluate the protective effect of citrullus lanatus seed oil against CCl4 induced hepatic damage in rat. The hepatoprotective was on carbon tetrachloride induced hepatotoxicity in rats by estimated serum hepatic enzyme levels and hisopathological study of liver tissues. Citrullus lanatus seed oil ; CLSO (125mg) and CLSO(250mg) were administered orally for 10 days in rats and compared with standard silymarin (100 mg/kg) orally. The results showed significant decrease in serum ALT, AST and ALP levels treated groups which were increased due to CCl4 induced liver damage are comparable with standard drug. Histopathological study of liver tissue ravels the hepatoprotective activity of Citrullus lanatus seed oil.
THEMODIFIED CONSTANTQ SPECTROGRAM ( MCQS ) AND ITS APPLICATION TO PHASE VOCODING by

This thesis discusses the development of amodified constant Q spectrogram representation which is invertible in a least-squares sense. A good quality inverse is possible because this modified transform method, unlike the usual sliding window constant Q spectrogram, does not discard any data samples when performing the variable length discrete Fourier transforms on the original signal. The development of a phase vocoder application using this modified technique is also discussed. It is shown that MCQS phase vocoding is not a trivial extension of the regular FFT-based phase vocoder algorithms and some of the mathematical subtleties related to phase reconstruction are addressed. The Modified Constant Q Spectrogram and Phase Vocoding Ingle, Atul
Bioerosion : the other ocean acidification problem

Christine H. L. Schönberg*, James K. H. Fang, Marina Carreiro-Silva, Aline Tribollet, and Max Wisshak School of Earth and Environment and Oceans Institute, The University of Western Australia, Crawley, WA 6009, Australia Aquatic Zoology, Western Australian Museum, Welshpool, WA 6106, Australia Benthic Resources and Processes Research Group, Institute of Marine Research, Nordnesgaten 50, Bergen 5005, Norway MARE-Marine and Environmental Sciences Centre, Universidade dos Açores, Departamento de Oceanografia e Pescas, 9901-862 Horta, Azores, Portugal IMAR-Institute of Marine Research, Universidade dos Açores, Departamento de Oceanografia e Pescas, 9901-862 Horta, Azores, Portugal Laboratoire IPSL-LOCEAN, IRD-Sorbonne Universités (Univ. Paris 6) UPMC-CNRS-MNHN, 32 Avenue Henri Varagnat, Bondy 93143, France Marine Research Department, Senckenberg am Meer, 26382 Wilhelmshaven, Germany *Corresponding author: tel: þ61-8-94703582; fax þ61 8 6488 1037; e-mail: christine.schonberg@uwa.edu. au Schönberg, C. H. L. , Fang, J. K. H. , Carreiro-Silva, M. , Tribollet, A. , and Wisshak, M. Bioerosion: the other ocean acidification problem. – ICES Journal of Marine Science, 74: 895–925.
The Design of an Effective Family Reintegration and Aftercare Program for Youth Successfully Leaving Residential Care.

The lack of support services following the release of adolescent youths from a residential treatment center back to their families is examined in this practicum. Consequently, the development of a family reintegration program for the treatment center is focused on the concept that effective aftercare begins at intake. Understandably, families already involved with their son or daughter while in placement proved far more successful in reunification efforts than families that were not involved. A number of factors contributed to the lack of effective.aftercare services to youths who successfully completed the residential program, however, including; (1) unsupported values and theory; (2) lack of continued services; (3) lack of an aftercare methodology; and (4) ack of collaboration between service providers, funding and referral agencies. The first step in the program design involved a review of similar programs, both locally and nationally. Next, a survey instrument was developed ard sent to selected staff members, referring agency workers and directors, and a small sample of students from the program. Finally, budgetary plans for a revised program were developed, funds were ensured, and several counties that might be interested in the program were contacted. Five.appendices present: Aftercare Report Format, Implementation Plan, two communication diagrams, and a survey example. Contains 99 references. (KW) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. **********' c********1%*******)%A:. ************************************* The Design of an Effective Family Reintegration and Aftercare Program for Youth Successfully Leaving Residential Care
A Harmonic Suppression Microstrip Antenna for Mobile Communications Using Complementary Split Ring Resonators

A harmonic suppression microstrip patch antenna integrated with complementary split ring resonator (CSRR) etched in the ground plane is proposed and investigated. By integrating with the Complementary split ring resonator (CSRR), the microstrip antenna can suppress the second and the third harmonics associated with the original structure while keeping good performance at the fundamental mode. The return loss at resonance frequency of 2.25GHz is improved by the inclusion of the CSRRs reaching 36dB compared with 20dB achieved by the original structure.
1 Generative Adversarial Network Generative Adversarial Networks

Face analysis lies at the heart of computer vision with remarkable progress in the past decades. Face recognition and tracking are tackled by building invariance to fundamental modes of variation such as illumination, 3D pose. A much less standing mode of variation is motion deblurring, which however presents substantial challenges in face analysis. Recent approaches either make oversimplifying assumptions, e.g. in cases of joint optimization with other tasks, or fail to preserve the highly structured shape/identity information. We introduce a two-step architecture tailored to the challenges of motion deblurring: the first step restores the low frequencies; the second restores the high frequencies, while ensuring that the outputs span the natural images manifold. Both steps are implemented with a supervised data-driven method; to train those we devise a method for creating realistic motion blur by averaging a variable number of frames. The averaged images originate from the 2MF2 dataset with 19 million facial frames, which we introduce for the task. Considering deblurring as an intermediate step, we conduct a thorough experimentation on high-level face analysis tasks, i.e. landmark localization and face verification, on blurred images. The experimental evaluation demonstrates the superiority of our method.
Discrimination of Sonorants from Fricatives Using a Scalar Feature Derived from Linear Prediction Coefficients

The sum of linear prediction coefficients (LPCs) is proposed as an effective feature in discriminating between sonorants and fricatives in continuous speech. On the closed set of sonorant and fricative frames of the entire TIMIT test database, a classification accuracy of 98.23% is obtained. When this feature is combined with three other features derived from the LPCs, the feature vector achieves an accuracy of 98.27% using a linear support vector machine classifier. The accuracy increases to 98.41% with mel frequency cepstral coefficients also added. The robustness of the feature has been tested on additive white, babble and pink noise.
Predisposition and Comorbidity of Patients With Acute Aortic Dissection

Acute aortic syndrome (AAS) describes the acute presentation of patients with characteristic “aortic pain” caused by one of several life threatening thoracic aortic conditions including aortic dissection, intramural hematoma or penetrating atherosclerotic ulcer. Recent advances in imaging and therapeutic techniques have emphasized the importance of early diagnosis of acute aortic syndrome because it is crucial for survival. Not just because the cardiovascular community knows little, the management of AAS remains a therapeutic challenge, while diverse surgical and percutaneous strategies for the treatment of aortic syndromes are continuously evolving. As a result of increasing knowledge and better management strategies in this area, the outcomes of patients treated for acute aortic syndromes have improved. This review discusses the etiology and clinical presentation, but mainly focuses on modern management and both established and emerging therapeutic approaches to acute aortic syndromes.
An Improved Event Detection Algorithm for Non-Intrusive Load Monitoring System for Low Frequency Smart

The traditional event detection algorithm used in Non-Intrusive Load Monitoring (NILM) for low frequency smart meters, is aimed to detect high power consuming appliances in particular. As the level of noise generated by the high capacity loads, detecting events caused by low power consuming devices is a major challenge. In this paper, we have looked into various issues of low frequency smart meters for the steady-state method of NILM algorithm. Also, we have proposed an improved event detection algorithm to extract more consistent and exclusive event for individual loads. Later, we have used the proposed event detection algorithm on practical data collected from a low frequency smart mete deployed in a residential building. The evaluation shows that, our algorithm detects events more precisely and accurately than the traditional algorithm. Also, it reduces the event space of individual appliance and extract an additional feature which helps to differentiate similar events of different appliances in real and reactive power region. Keywords—Non-Intrusive Load Monitoring; Low Frequency; Edge Detection; Additional Load Feature
New Paradigm Shift in Feline Dental Implants in Maxillary Alveolar Osteitis Treatment with Osseodensification

As with any treatment option, dental implants should be subjected to the same level of scrutiny as other treatment modalities. However, being a relatively new area of veterinary dentistry, long-term clinical success of dental implants has not been established in cats. Owners need to be made aware of this and the importance of periodontal maintenance (home care) prior to obtaining informed consent. Also, only experienced and well-trained clinicians with a sound knowledge of the principles and practice of dental implantology should embark into this field. Treatment planning for a dental implant is no different than planning for any oral surgical procedure. Before any diagnosis or treatment plan is formulated, it is essential that an intraoral examination, including a complete oral health assessment, be performed under general anesthesia.
Advances in the Management of Juvenile Idiopathic Arthritis

__Abstract__ The main aim of this thesis was the evaluation of advances in the management of JIA. It focused on developments in the biologic treatment of JIA, using data from the ABC register. Additionally, it explored new biomarkers and methods for monitoring the disease activity, bone age and bone health of patients with JIA.
ON DYNAMIC EVOLUTION OF SOIL SALINIZATION IN TIANJIN COSTAL AREA USING REMOTE SENSING

Soil Salinization is one of the most devastating land degradation in agriculture and environment all around the world. The salinization classification map composed of four stages of salinity can be generated using remote sensing technology. In this paper we propose a semi-supervised procedure for dynamic evolution monitoring of soil salinization in Tianjin costal area based on the use of Landsat data. The trends and extents of soil salinization for a period from 1989 to 2009 are investigated every 10 years. Compared with traditional 2-D spectral space of NIR-R bands, the results reveals that highly saline soils can be easily differentiated in NDVI-Brightness 2-D spectral space, which is a powerful tool for exploring salinization information in Landsat data. Mapping and monitering soil salinization changes in arid and semi-arid regions by means of remote sensing is effective for producing detailed and accurate land degradation information. Index Terms – Soil salinization, Tianjin costal area, Dynamic evolution monitoring, Spectral space
PostLlral Control in the Well Elderly

In this study, we investigated the potential value of t'ai chi in promoting postural control of the well elder~y. T'ai chi, a traditional Chinese exercise, is a series of individual dancelike movements linked together in a continuous, smooth-flowing sequence. Performance on five balance tests of9 t 'ai chi practitioners was compared to that of9 nonpractitioners. An analysis of variance demonstrated that in three of the tests, the t'ai chi practitioners had significantly better postural control than the sedentary nonpractitioners (p < .05). It was also found that men performed significant~y better than women in both the practitioner and nonpractitioner groups on the same three tests (p < .01).
The Prospect of chitosan on the osteogenesis of periodontal ligament stem cells

Biomaterial innovation is needed for bone substitute which can help the osteogenesis process on periodontal tissue regeneration. This study is an experimental in-vitro study of different concentration of chitosan and aimed to analyze the osteogenesis of human periodontal ligament stem cells (PDLsc) cultured in chitosan. Forty eight PDLsc were collected from healthy and periodontitis third lower molar. There were 24 healthy teeth-PDLsc and 24 periodontitis teeth-PDLsc. Each groups were divided into three experimental groups and were layered by 200 μl concentration of chitosan (0.15%, 0.2%; 0.25%) and diluted in 0,5 % citric acid. Cell culture without chitosan was used as a control group. The levels of alkaline phosphatase (ALP), osteocalcin and calcium deposit in the cell culture were measured on day 3, day 7, day 14 and day 21. Chitosan at concentration of 0.25 % shows a potential impact of PDLsc in both periodontitis and healthy teeth samples, especially in the level of ALP and calcium deposit. Chitosan has potential effect in increasing of osteogenesis process in periodontal ligament cells for regeneration of periodontal tissues. Experimental article (J Int Dent Med Res 2012; 5: (2), pp. 93-97)
Network Architecture for Ambient Intelligence Environments and a New RMI Approach to Support Different Devices in Ruling Smart Homes

1,2 Department of Computer Engineering, Broujerd Branch, Islamic Azad University Abstract. In this paper, we are going to present a network architecture which is used in an Ambient Intelligence (AmI) environment. As the users of the smart homes need to connect to this network with their handheld devices like notebook and smartphones, they need a network architecture which could support different types of clients. The common way to implement remote method invocation is RMI library which has been published by Sun. but it is not able to support different types of client sockets. In this paper, we are going to present a new approach of RMI to support different types of client sockets. With using the new RMI approach, the users are able to control the ambient intelligent environment which they are living in and define new rules for the environment behaviors.
Multiple Robots in a Cooperative Task : Exploration and Mapping

In this work is investigated the exploration of an environment with multiple vehicles using a strategy based on occupancy grids and a technique of simultaneous localization and mapping (SLAM). The exploration strategy uses concepts of costs and utility from frontier-cells. Besides, the used SLAM method is based on a FastSLAM algorithm with landmarks extracted from visual sensors and a features map common to vehicles. Both activities location of the vehicles and exploration of the environment are coordinated by a central agent. The results show that when two vehicles can communicate with a central agent building a features map common to vehicles, the exploration task becomes more efficient than that performed with dedicated maps, because the accuracy of vehicle position and orientation is increased with the use of an even number of particles. In this paper we also present and evaluate the implementation of the approach in a real environment.
Lighting in Nighttime Vision-Based Localisation

In an effort to create high reliability autonomous ground vehicles capable of operations 24 hours a day, redundancy plays a key role. In particular, localisation systems need to have multiple separate systems to allow for position validation and backup in case of failure of the primary localiser. These systems need to provide high performance in day and night conditions. In this paper, we investigate the onboard and offboard lighting required to allow a vision-based localisation system to provide high performance during night operations in an industrial environment. The comprehensive discussion on sensors and setup and the quantitative evaluation presented provide a relevant discussion towards using vision systems 24 hours a day.
D S ] 1 4 O ct 2 01 5 Column Selection via Adaptive Sampling

Selecting a good column (or row) subset of massive data matrices has found many applications in data analysis and machine learning. We propose a new adaptive sampling algorithm that can be used to improve any relative-error column selection algorithm. Our algorithm delivers a tighter theoretical bound on the approximation error which we also demonstrate empirically using two well known relative-error column subset selection algorithms. Our experimental results on synthetic and real-world data show that our algorithm outperforms nonadaptive sampling as well as prior adaptive sampling approaches.
UvA-DARE ( Digital Academic Repository ) Dynamic Epistemic Logics

Dynamic epistemic logic, broadly conceived, is the study of rational social interaction in context, the study, that is, of how agents update their knowledge and change their beliefs on the basis of pieces of information they exchange in various ways. The information that gets exchanged can be about what is the case in the world, about what changes in the world, and about what agents know or believe about the world and about what others know or believe. This chapter gives an overview of dynamic epistemic logics, and traces some connections with propositional dynamic logic, with planning and with probabilistic updating.