Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Recent Technology and Engineering (IJRTE)

256 Retrieval Number: F7134038620/2020©BEIESP DOI:10.35940/ijrte.F7134. 038620 Published By: Blue Eyes Intelligence Engineering & Sciences Publication  Abstract: Multiple Input Multiple Output (MIMO) system has several input and output antennas for executing the data transmission. Channel Estimation (CE) is required in MIMO, to achieve the effective signal transmission over the various amount of antennas. By using CE over the MIMO, the noiseless data transmission is performed. Hence in this paper, a Multi-layer Neural Network (MNN) is used for identifying the CE and this system is named as Multi-layer Neural Network-MIMO-Digital Filter (MNN-MIMO-CE) is proposed for blind channel equalization. The MNN-MIMO-CE has Feed forward Artificial Neural Network (FANN) with back propagation in Levenberg-Marquardt (LM) algorithm and it has two processes MNN training and MNN testing. LM algorithm is used to train the MNN. These processes are used to provide the CE for different combination of antennas. The performance of the MNN-MIMO-CE method is evaluated in comparison with the existing method [25] through simulations using BER as the performance measure.
Energy Adaptive Intrusion Detection System for Energy Harvesting IoT

Internet of Things (IoT) is an emerging technology that makes network of physical objects which can identify, communicate and share information through Internet. The edge of IoT network are mostly simple sensors. The success of the IoT application depends on the quality of sensor data at the right time, this leads to the requirement of IoT devices be long term, self-sustaining and have the ability to harvest their required energy from deployed environment. Such devices incur additional security challenges because of prolonged life time and change in the life cycle of devices. A novel intrusion detection system is designed for energy harvesting 6LoWPAN based IoT network considering the energy scavenging characteristics of devices in addition to conventional IoT. The simulation results confirm that the proposed intrusion detection system is efficient and accurate in detecting the attacks.
Evolutionary Algorithms in Stabilization of Inverted Pendulum

A novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms is used to characterize the major design parameters of an FLC known as characteristic parameters. The characteristic parameters simplify the design of FLC which are encoded into a chromosome as an integer string. These are optimized by maximizing the evaluated fitness through genetic operations to achieve the optimized FLC . An effective Genetic Algorithm (GA) is proposed using linkage learning, or building block identification. The genes arranged to have a fitness enhancement is the essence of linkage learning. A perfect and faster extended GA is suggested using an effective method to learn distributions and then by linking them. Stabilization of Inverted pendulum pole angle is taken as test bench.
International Journal of Recent Technology and Engineering (IJRTE)

5203 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: F9586038620/2020©BEIESP DOI:10.35940/ijrte.F9586. 038620  Abstract: Recently, in the context of increasing global energy demand and environmental problems, many researchers have proposed effective solutions for transportation in the current situation. Liquefied petroleum gas (LPG) has been considered as a preferred alternative fuel for spark-ignition (SI) engines. This study describes the development of an LPG injection system for an SI engine. The proposed system was based on the analysis of fuel requirement and metering for the engine operating with LPG, as well as the effect of engine parameters on the LPG flow rate. The system cooperates with the gasoline ECU to produce the signals controlling LPG injectors. An experiment was conducted with an SI engine under different conditions of loads and engine speeds. Experimental results showed that the LPG injection system adapted all test conditions, the engine ran smoothly at all test speeds and partial opening throttle. Fueling with LPG, engine torque and energy conversion efficiency were higher, whereas exhaust gas emissions such as HC, CO, and NOx were lower compared with that as fueled with gasoline.
International Journal of Recent Technology and Engineering (IJRTE)

The Unified Power Quality Controller (UPQC) is the Custom Power device designed for improving the power quality of the electrical network. In this paper, we proposed UPQC design for an isolated power system network to attend both voltage and current distortion by using Unit Vector template algorithm and Instantaneous Reactive Power theory. Also UPQC is designed for the hybrid generation with Hysteresis control algorithm. The power quality improvement of the power system network is the main aim . The performance analysis is done by comparing its Total Harmonic Distortion (THD). Based on its THD the quality of the power at the “Point of common coupling (PCC)”with and without compensator is quantified in this paper.
Wireless Sensor Network Localization using Artificial Intelligence and Simulated Annealing Optimization

In recent years localization of nodes in wireless sensor networks (WSNs) has become one the main features of applications. In fact, this issue has been widely explored by the scientific community that proposed many approaches in order to localize network nodes. However, artificial neural network (ANN) can be used as an operating method. Therefore, we aim in this paper to select the best suited structure of ANN to localize in WSN using a meta-heuristic technique. To optimize this procedure, we use the Simulated Annealing (SA) algorithm. We constituted a network of ESP8266 modules to create our WSN topology as well as the training and the testing data to evaluate the performances
Preparation of the soybean isoflavone compound tablet and its evaluation of quality

Objective To produce the soybean isoflavone compound tablet in the special physiological function of the soybean isoflavone added with vitamin E and oyster calcium carbonate.MethodsThe formula was optimized by means of formula design,orthogonal test and the technologic parameter study.ResultsOptimal formula was 40 mg soybean isoflavone,150 mg oyster calcium carbonate,20 mg vitamin E,and starch,sugar powder,magnesium stearate and talcum powder.ConclusionThe quality of compound tablet is fit for the criterion of China Pharmacopoeia(2005),with the hardness of tablet 5.2 kg,the brittleness 0.78% and the collapse time limit 11 min.
Vibration Signature Analysis using Rough Sets and Analogy-Based Reasoning Classification

Various machine learning techniques along with vibration signal processing techniques are being explored for effective and accurate fault diagnosis of bearing faults. This work studies and evaluates the application of rough set based algorithms - RoughSet Classifier, LocalKnn Classifier and RseslibKnn Classifier and their combinations with 4 kinds of distance metrics - City block and Hamming (CBD and HD), City block and simple value difference (CB and VDM), Density based value difference (DBVDM), Interpolated value difference(IVDM) for bearing vibration signature analysis. The input vector fed to the classifier models is composed of statistical features extracted from pre-processed vibration signals. The different metrics used to compare the performance of the classifiers show that RseslibKnn classifier with City block and simple value difference distance metric takes considerably less time for training (9.09 sec) and classification (0.86 sec) while giving testing accuracy of 84.1442 %, thereby confirming its usefulness for real time application on large bearing fault datasets. The results obtained in this paper show the effectiveness of rough sets based algorithms, particularly KNN based classifiers, in bearing fault diagnosis.
Auto Sector Stock Price Trend Prediction using Decision Tree

The auto sector stock price trend is based on many national and international uncertain factors. It is challenging to predict the impact of such a factor on the stock price trend as the impact of the same factor varies at different points of time. In this research work, we are predicting the auto sector stock price trend using patterns in the historical data using a machine learning method.
Vértigo como presentación clínica de asa vascular de la arteria cerebelosa antero inferior

El vértigo es un frecuente motivo de consulta cuyo origen puede ser periférico o central; causas poco frecuentes de este último son las asas vasculares que afectan el VIII par craneal llevando a acúfenos, pérdida de la audición y mareo. Se presenta una mujer de 47 años de edad, quien consulta por un cuadro de mareo, náuseas, pérdida del tono postural, cefalea y parestesia facial, cuyo examen físico revela signos de vértigo periférico, iniciándose tratamiento con antieméticos, anticinetósicos y vasodilatadores que llevan a empeoramiento del cuadro, por lo que se sospecha de patología a nivel de sistema nervioso central (SNC) que ejerce compresión con la vasodilatación. Se realiza una resonancia magnética que muestra un asa vascular en la arteria cerebelosa inferior anterior (AICA) que ingresa al conducto auditivo interno (CAI) explicando la sintomatología y cuyo efecto compresivo de los nervios centrales genera un efecto paradójico con la toma de vasodilatadores
The Retinal Inner Plexiform Synaptic Layer Mirrors Grey Matter Thickness of Primary Visual Cortex with Increased Amyloid β Load in Early Alzheimer's Disease

The retina may serve as putative window into neuropathology of synaptic loss in Alzheimer's disease (AD). Here, we investigated synapse-rich layers versus layers composed by nuclei/cell bodies in an early stage of AD. In addition, we examined the associations between retinal changes and molecular and structural markers of cortical damage. We recruited 20 AD patients and 17 healthy controls (HC). Combining optical coherence tomography (OCT), magnetic resonance (MR), and positron emission tomography (PET) imaging, we measured retinal and primary visual cortex (V1) thicknesses, along with V1 amyloid β (Aβ) retention ([11C]-PiB PET tracer) and neuroinflammation ([11C]-PK11195 PET tracer). We found that V1 showed increased amyloid-binding potential, in the absence of neuroinflammation. Although thickness changes were still absent, we identified a positive association between the synapse-rich inner plexiform layer (IPL) and V1 in AD. This retinocortical interplay might reflect changes in synaptic function resulting from Aβ deposition, contributing to early visual loss.
An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population

Abstract Aim To enable a world-leading research dataset of routinely collected clinical images linked to other routinely collected data from the whole Scottish national population. This includes more than 30 million different radiological examinations from a population of 5.4 million and >2 PB of data collected since 2010. Methods Scotland has a central archive of radiological data used to directly provide clinical care to patients. We have developed an architecture and platform to securely extract a copy of those data, link it to other clinical or social datasets, remove personal data to protect privacy, and make the resulting data available to researchers in a controlled Safe Haven environment. Results An extensive software platform has been developed to host, extract, and link data from cohorts to answer research questions. The platform has been tested on 5 different test cases and is currently being further enhanced to support 3 exemplar research projects. Conclusions The data available are from a range of radiological modalities and scanner types and were collected under different environmental conditions. These real-world, heterogenous data are valuable for training algorithms to support clinical decision making, especially for deep learning where large data volumes are required. The resource is now available for international research access. The platform and data can support new health research using artificial intelligence and machine learning technologies, as well as enabling discovery science.
Treatment of localized prostate cancer and use of nomograms among urologists in the West Africa sub-region

Introduction there is a high incidence of prostate cancer among men of African descent. The disease tends to occur at an early age with a tendency to be aggressive. The objective was to determine the practice of urologists in the West African sub-region regarding treatment of localized prostate cancer, the use of nomograms and their perception of the usefulness of nomograms. Methods this was a cross-sectional study that involved urologists practicing in the West African sub-region attending urology and surgery conferences of the “Société Internationale d´Urologie”, West African college of surgeons and the Ghana association of urological surgeons. A structured questionnaire was used that sort to ascertain the treatment modalities used for localized prostate cancer and the use of nomograms in the sub-region. The study period spanned the years 2018 and 2019. Results fifty-six urologists practicing in eleven West African countries responded. Fifty percent had been in practice for less than 5 years. Sixty eight percent (38/56) had been involved in the treatment of localized prostate cancer. Radical prostatectomy was widely available and the treatment modality most used 94.7% (36/38). Nomograms was used by 57.9% of them (22/38) with the Partin tables being the most commonly used nomogram (34.2%). No Locally developed nomogram for treatment of localized prostate cancer was identified. Conclusion radical prostatectomy is the commonest treatment modality used for the management of localized prostate cancer in the West Africa sub-region. Majority of the urologists used nomograms with the Partin tables being the most used.
Vitamin D Deficiency in Autism Spectrum Disorder: A Cross-Sectional Study

Vitamin D plays a role in central nervous system (CNS) development. Recent literature focused on vitamin D status in children and adolescents with autism spectrum disorder (ASD), but with inconsistent results. Our case-control study is aimed at evaluating serum 25-hydroxyl-vitamin D (25(OH)D) concentration in children with ASD (ASD group, n = 54) compared to children affected by other neurological and psychiatric disorders (non-ASD group, n = 36). All patients were admitted at the Complex Operative Unit of Child Neuropsychiatry, Polyclinic of Bari, Italy. 25(OH)D was quantified by chemiluminescence immunoassay and level defined as: deficiency (<20 ng/mL); insufficiency (20–30); normality (30-100); toxicity (>100). Statistical analysis was performed using SPSS20 (significance < 0.05). The ASD group showed 25(OH)D a mean level significantly lower than control (p = 0.014). Multivariable logistic regression analysis showed an association between ASD and vitamin D deficiency (p = 0.006). The nature of such association is unclear. Vitamin D deficiency may probably act as a risk factor for the development of ASD. Further studies are needed to unravel the role of vitamin D in ASD etiology and investigate its therapeutic potential.
Predictors for development of complete and incomplete intestinal metaplasia (IM) associated with H. pylori infection: A large-scale study from low prevalence area of gastric cancer (IM-HP trial)

Background Gastric intestinal metaplasia (IM) is precancerous lesion of gastric cancer related to H. pylori infection. There has been limited data about IM and associated risk factors. This study aimed to determine risk factors related to development of IM to guide proper management. Methods 1,370 patients undergoing UGI endoscopy at Thammasat University Hospital, Thailand were included between January 2018-August 2019. Patients’ data including baseline characteristics, laboratory results, and histopathology from medical database were extensively reviewed. Immunohistochemical staining for p53 expression from gastric biopsies was also performed. Results Overall H. pylori prevalence was 43.8%. Mean age was 60.7 years and 45% of whom were males. Chronic gastritis was observed in 1,064(77.7%) patients, while 223(16.3%) had IM. Of 223 patients with IM, 194(87%) patients had complete IM, while 29 (13%) had incomplete IM. In groups of complete and incomplete IM, current H. pylori infection rates were 66.5% and 58.6%, respectively. The BMI of incomplete IM group(27.4) was significantly higher than BMI of complete IM group (23.6). Overweight and obese patients (BMI ≥23 kg/m2) were significantly associated with higher risk for the development of incomplete IM (OR 3.25; 95%CI 1.14–9.27, p = 0.027). Males, age >50 years, and current H. pylori infection were significantly higher in IM than chronic gastritis group with OR 1.43 (95%CI 1.01–2.03, p = 0.048), OR 1.67 (95% CI 1.08–2.57, p = 0.021), and OR 3.14 (95% CI 2.29–4.30, p<0.001), respectively. During 20 months of study, there were 15 patients (1.1%) diagnosed with gastric cancer and 1-year survival rate was only 60%. Conclusions Males, age >50 years, and current H. pylori infection are significant predictors for the presence of intestinal metaplasia. BMI might be beneficial for using as a predictive risk factor to reduce the development of incomplete intestinal metaplasia. H. pylori eradication could be an effective way to prevent the development of gastric precancerous lesions.
Protective Role of Tangshen Formula on the Progression of Renal Damage in db/db Mice by TRPC6/Talin1 Pathway in Podocytes

Tangshen Formula (TSF) is a Chinese Medicine formula that has been reported to alleviate proteinuria and protect renal function in humans and animals with diabetic kidney disease (DKD). However, little is known about its mechanism in improving proteinuria. The dysregulation of podocyte cell-matrix adhesion has been demonstrated to play an important role in the pathogenesis and progression of proteinuric kidney diseases including DKD. In the present study, the underlying protective mechanism of TSF on podocytes was investigated using the murine model of type 2 DKD db/db mice in vivo and advanced glycation end products (AGEs)-stimulated primary mice podocytes in vitro. Results revealed that TSF treatment could significantly mitigate reduction of podocyte numbers and foot process effacement, reduce proteinuria, and protect renal function in db/db mice. There was a significant increase in expression of transient receptor potential canonical channel 6 (TRPC6) and a decrease in expression of talin1 in podocytes of db/db mice. The results of AGEs-stimulated primary mice podocytes showed increased cell migration and actin-cytoskeleton rearrangement. Moreover, primary mice podocytes stimulated by AGEs displayed an increase in TRPC6-dependent Ca2+ influx, a loss of talin1, and translocation of nuclear factor of activated T cell (NFATC) 2. These dysregulations in mice primary podocytes stimulated by AGEs could be significantly attenuated after TSF treatment. 1-Oleoyl-2-acetyl-sn-glycerol (OAG), a TRPC6 agonist, blocked the protective role of TSF on podocyte cell-matrix adherence. In conclusion, TSF could protect podocytes from injury and reduce proteinuria in DKD, which may be mediated by the regulation of the TRPC6/Talin1 pathway in podocytes.
Useful assessment of myocardial viability and dyssynchrony from gated perfusion scintigraphy for better qualification for resynchronization therapy. Part 3

The first part of the review concerning myocardial imaging by single photon emission computed tomography (SPECT) discussed the basic aspects of interpretation of left ventricular perfusion disorders in stress and rest examination. The second part presented the interpretation of gated SPECT imaging in relation to the assessment of systolic and diastolic left ventricular functions. The third part concerns the assessment of myocardial viability and phase analysis from gated SPECT in the qualification of patients with left ventricular systolic dysfunction for cardiac resynchronization therapy.
Building an Artificial Cardiac Microenvironment: A Focus on the Extracellular Matrix

The increased knowledge in cell signals and stem cell differentiation, together with the development of new technologies, such as 3D bioprinting, has made the generation of artificial tissues more feasible for in vitro studies and in vivo applications. In the human body, cell fate, function, and survival are determined by the microenvironment, a rich and complex network composed of extracellular matrix (ECM), different cell types, and soluble factors. They all interconnect and communicate, receiving and sending signals, modulating and responding to cues. In the cardiovascular field, the culture of stem cells in vitro and their differentiation into cardiac phenotypes is well established, although differentiated cardiomyocytes often lack the functional maturation and structural organization typical of the adult myocardium. The recreation of an artificial microenvironment as similar as possible to the native tissue, though, has been shown to partly overcome these limitations, and can be obtained through the proper combination of ECM molecules, different cell types, bioavailability of growth factors (GFs), as well as appropriate mechanical and geometrical stimuli. This review will focus on the role of the ECM in the regulation of cardiac differentiation, will provide new insights on the role of supporting cells in the generation of 3D artificial tissues, and will also present a selection of the latest approaches to recreate a cardiac microenvironment in vitro through 3D bioprinting approaches.
Molecular Characteristics of the Seed Virus of HFRS Candidate Vaccine A16 Strain

For further studying on the molecular characteristics of A16 strain,which is the seed virus of HFRS candidate vaccine,the M and S segments of A16 strain were amplified by RT PCR and then sequenced respectively.Sequence assay showed that Msegment of A16 strain contained 3615 nucleotides,encoding 1133 amino acids,and S segment of A16 strain contained 1 770 nucleotides,encoding 429 amino acids.The homology of M segment of A16 strain's nucleotide sequences and induced amino acid sequences with that of other HTN type virus varied from 75.7% to 90.3% and 85.9% to 97.1%respectively.Namely,the mutation of M segment of A16 strain's nucleotide sequence and amino acid sequence with that of other HTN type virus varied from 9.7% to 24.3% and 2.9% to 14.1% respectivedly.Like M segment,the homology of S segment of A16 strain's nucleotide sequences and induced amino acid sequences with that of other HTN type virus varied from 76.0% to 90.0% and 92.1% to 97.7%,and 67.0% to 67.7% and 81.7% to 82.6% with that of SEO type virus respectively.The result showed that A16 strain was one subtype strain of HTN type virus.