Miracle-dz/UniFAR-FTUs huggingface dataset:
High Power-Density 3D Integrated Power Supply Module Based on Panel-Level PCB Embedded Technology

In this paper, a high power-density 3D integrated synchronous buck converter with dual side cooling structure was designed and analyzed. A novel panel-level PCB embedded package technology for MOSFETs and planar LTCC inductor of the converter was proposed to address parasitic elements, heat dissipation, and reliability issues inherent with aluminum wires used in conventional wire-bonded package. The MOSFETs and LTCC inductor were embedded in the PCB, respectively, interconnected by RDL and PCB vias. Copper-clad BT laminate and BT prepreg with low CTE and high Tg were selected and characterized by TMA. Analysis showed that the selective PCB embedding materials were very ideal for MOSFETs and LTCC inductor packaging. Thermal simulation of the 3D module was performed using ANSYS ICEPAK. To improve accuracy and efficiency of the thermal simulation, equivalent thermal conductivity of a PCB via unit was extracted and equivalent model was built. Effects of PCB vias and heat spreader on the thermal performance of the 3D converter were analyzed. The study showed that PCB vias can improve the thermal performance of the 3D module with cap heat spreader. The highest junction temperature of the optimized 3D converter was limited to about 71.2 °C.
Data Mining Classification Algorithms for Heart Disease Prediction

Abstract—Annually 17.3 million people approximately die from heart disease worldwide. A heart patient shows various symptoms and it is hard to attribute them to the heart disease in different steps of disease progress. Data mining, as a solution to extract hidden pattern from the clinical dataset are applied to a database in this research. The database consists of 209 instances and 8 attributes. All available algorithms in classification technique, are compared to achieve the highest accuracy. To further increase the accuracy of the solution, the dataset is preprocessed by different supervised and unsupervised algorithms. The system was implemented in WEKA and prediction accuracy in 9 stages, and 396 approaches, are compared. Random tree with an accuracy of 97.6077% and lowest errors is introduced as the highest performance algorithm.
Capacity of the Gaussian Two-way Relay Channel to within 1/2 Bit

In this paper, a Gaussian two-way relay channel, where two source nodes exchange messages with each other through a relay, is considered. We assume that all nodes operate in full-duplex mode and there is no direct channel between the source nodes. We propose an achievable scheme composed of nested lattice codes for the uplink and structured binning for the downlink. We show that the scheme achieves within 1/2 bit from the cut-set bound for all channel parameters and becomes asymptotically optimal as the signal to noise ratios increase.
PREDICTION MODEL DEVELOPMENT FOR ONSHORE CRUDE OIL PRODUCTION BASED ON OFFSHORE PRODUCTION USING ARTIFICIAL NEURAL NETWORK

An old fact of the oil and gas industry is the difference in daily net production figures between onshore and offshore. This study aims to provide a model to reduce the difference, by processing offshore data to predict daily onshore production. The method used is regression and artificial neural network. The data used are daily data of offshore production and BSW (base sediment and water) number in 2013 until 2016. The results show that ANN shows better prediction compared with regression. From the observations made, the best period for modeling is the windowing of end period of 60 days with the tanh activation function and the standardized preprocessing method on ANN. For further research it is worth considering to include temperature as a prediction variable.
LATIN AMERICAN GUIDE TO PRIMARY OPEN ANGLE GLAUCOMA FOR THE GENERAL OPHTHALMOLOGIST

Glaucoma is an optic neuropathy with progressive loss of ganglion cells, producing irreparable damage to the visual field. Primary Open Angle Glaucoma is considered a “silent thief of vision,” since it is asymptomatic until its advanced stages. It is the leading world cause of irreversible blindness, and its prevalence increases with age. An increase in intraocular pressure is the main risk factor; while it is not the cause of glaucoma, the pressure level determines the damage to the optic nerve. To prevent vision loss and blindness associated with glaucoma, we must implement early detection strategies and manage cases appropriately, above all those with a highly aggressive rate of progressive damage. Although this guide focuses on recommendations for Open Angle Glaucoma, we must also not neglect angle-closure or occludable angle cases, since this group has a high potential for blockages and blindness due to glaucoma.
Opinion on the risks to public health related to the presence of bisphenol A ( BPA ) in foodstuffs : Executive summary

This opinion describes the assessment of the risks to public health associated with bisphenol A (BPA) exposure. Exposure was assessed for various groups of the human population in three different ways: (1) external (by diet, drinking water, inhalation, and dermal contact to cosmetics and thermal paper); (2) internal exposure to total BPA (absorbed dose of BPA, sum of conjugated and unconjugated BPA); and (3) aggregated (from diet, dust, cosmetics and thermal paper), expressed as oral human equivalent dose (HED) referring to unconjugated BPA only. The estimated BPA dietary intake was highest in infants and toddlers (up to 0.875 μg/kg bw per day). Women of childbearing age had dietary exposures comparable to men of the same age (up to 0.388 μg/kg bw per day). The highest aggregated exposure of 1.449 μg/kg bw per day was estimated for adolescents. Biomonitoring data were in line with estimated internal exposure to total BPA from all sources. BPA toxicity was evaluated by a weight of evidence approach. “Likely” adverse effects in animals on kidney and mammary gland underwent benchmark dose (BMDL10) response modelling. A BMDL10 of 8 960 μg/kg bw per day was calculated for changes in the mean relative kidney weight in a two generation toxicity study in mice. No BMDL10 could be calculated for mammary gland effects. Using data on toxicokinetics, this BMDL10 was converted to an HED of 609 μg/kg bw per day. The CEF Panel applied a total uncertainty factor of 150 (for interand intra-species differences and uncertainty in mammary gland, reproductive, neurobehavioural, immune and metabolic system effects) to establish a temporary Tolerable Daily Intake (t-TDI) of 4 μg/kg bw per day. By comparing this t-TDI with the exposure estimates, the CEF Panel concluded that there is no health concern for any age group from dietary exposure or from aggregated exposure. The CEF Panel noted considerable uncertainty in the exposure estimates for non-dietary sources, whilst the uncertainty around dietary estimates was relatively low. © European Food Safety Authority, 2015
The Relationship between Vocational Proficiency and Entrepreneurship according to Girls ’ Vocational High School Students ’ Perceptions

The aim of this study is to compare perceptions of girls’ vocational high school students about vocational proficiency and entrepreneurship attendance than not attendence to in-the-job training. This study utilizes relational screening model. The universe of the study consists of the students of Uşak Central Anatolian Vocational and Girls’ Vocational Schools in 2014-15 school year. No sampling was done for the study as the scale was applied to all of the students studying at child development, beauty and haircare, and textile technologies departments. 98 Twelfth graders who have attended to practical training and 70 ninth graders who have not attended have been classified separately. Data has been collected by using two different scales. One of these scales is vocational proficiency scale developed by Bozgeyikli. The other scale used, entrepreneurship scale, is a five level Likert-type scale developed by Yılmaz and Sümbül. It has been found out that there is a significant difference about vocational proficiency perceptions between the students who have attended on the job training and those who have not attended. It was revealed that the students who have attended on the job training have more positive perceptions towards vocational proficiency than those who have not attended. When compared to the students who have not attended, the students who have attended to on -the job training had significant difference in their perception of entrepreneurship. The attending students of on -the job training have a higher tendency towards entrepreneurship with respect to those who have not attended. The students’ opinions also reveal that there is a high and significant relationship between tendency towards entrepreneurship and perception of vocational proficiency.
FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography

We introduce FlyCam—a novel framework—for gimbal drone camera photography. Our approach abstracts the camera and the drone into a single flying camera object so that the user does not need to think about the drone movement and camera control as two separate actions. The camera is controlled from a single mobile device with six simple touch gestures such as rotate, move forward, yaw, and pitch. The gestures are implemented as seamless commands that combine the gimbal motion with the drone movement. Moreover, we add a sigmoidal motion response that compensates for abrupt drone swinging when moving horizontally. The smooth and simple camera movement has been evaluated by user study, where we asked 20 human subjects to mimic a photograph taken from a certain location. The users used both the default two joystick control and our new touch commands. Our results show that the new interaction performed better in both intuitiveness and easiness of navigation. The users spent less time on task, and the System Usability Scale index of our FlyCam method was 75.13, which is higher than the traditional dual joystick method that scored at 67.38. Moreover, the NASA task load index also showed that our method had lower workload than the traditional method.
Real-Time Motion Detection Using Low-Resolution Web Cams

The analysis of motion detection within video sequences has increased dramatically in recent years. One primary application of motion detection has been surveillance systems that utilize video cameras. In recent years, a new interest in surveillance systems using lower resolution webcams has increased requiring additional considerations not found in higher resolution systems. This paper examines this problem by implementing a complete surveillance system using the popular Tenvis JPT315W web camera. The motion detection algorithms are initially implemented using the standard MPEG-7 descriptors commonly used for analyzing video sequences and creating video database systems. The results of a single MPEG-7 descriptor are generally not adequate for detecting all types of motion under varying lighting conditions. This work introduces a system that intelligently combines multiple descriptors in a voting algorithm that provides more accurate results than merely using one such descriptor. An analysis on the most beneficial descriptors is presented with a ranking provided for these descriptors. Results are provided for real time videos collected from various locations undergoing a wide range of lighting conditions over a 24 hour time period. An iPhone App has also been implemented allowing access to the system remotely.
Eyeball Motion and Joystick Controlled Wheelchair with Obstacle Detection

This project presents the ‘eyeball Motion Controlled Wheelchair using IR Sensors for the elderly and differently abled people. In this eye tracking-based technology, two Proximity Infrared (IR) sensor modules are mounted on an eye frame to trace the movement of the iris. Since, IR sensors detect only white objects; a unique sequence of digital bits is generated corresponding to each eye movement. These signals are then processed via a micro controller IC (AVR328) to control the motors of the wheelchair. The potential and efficiency of previously developed rehabilitation systems that use head motion, voice recognition variedly have also been explored in detail. They were found to be inconvenient as they served either limited usability or non-affordability. This design consists of very minimal numbers of instruments used in order to make it cost-effective and it is also assisted with accelerometer sensor for handling properly. KeywordsEye tracking technology, intelligent wheelchair, IR module, Accelerometer sensor, IR proximity sensor (Obstacle detection sensor).
Predictive Direct Power Control Strategy Based on Two Stage Matrix Converter

In this paper, the proposed new direct power control strategy (DPC) is based on predictive control theory to achieve direct control of instantaneous active and reactive power of the converter. Based on two stage matrix converter's (TSMC) direct driven permanent magnet synchronous wind power systems is studied, the proposed predictive direct power control (P-DPC) strategy is applied to the system to improve the dynamic performance of the system. For this aim, based on predictive control principle, calculated the input voltage vector average of the inverter at the beginning of each switching cycle, eliminate the active and reactive power tracking errors at the end of switching period. Compared with the conventional DPC strategy, the proposed control strategy possesses such advantages without phase locked loop, and its switching frequency is fixed. Finally, the simulations works is developed to validate the proposed method. By using MATLAB simulation platform, the simulation results show that the P-DPC strategy can achieve the good decoupling control for the active power and reactive power, can realizes unit input power factor and provide fast dynamic response.
Content Based Web Page Re-Ranking Using Relevancy Algorithm

The World Wide Web is a system of interlinked hypertext documents that are accessed via the internet. It plays a leading role for retrieving user requested information from the web resources. In order to retrieve user requested information, search engine plays a major role for crawling web content on different node and organizing them into result pages so that user can easily select the required information by navigating through the result pages link. This strategy worked well in earlier because, number of resources available for user request is limited. It is feasible to identify the relevant information directly by the user from the search engine results. As the Internet era increases, sharing of resource also increases and this leads to develop an automated technique to rank each web content resource. Different search engine uses different techniques to rank search results for the user query. This leads to business motivation of bringing up their web resource into top ranking position. As the competition and web resource increases, the ranking of web content becomes tedious and dynamic with respect to the user query. In the proposed work a new approach is introduced to rank the relevant pages based on the content and keywords rather than keyword and page ranking provided by search engines. Based on the user query, search engine results are retrieved. Every result is individually analyzed based on keywords and content. User Query is pre-processed to identify the root words. Root word is considered for Dictionary construction and Dictionary is built with synonyms for the user query.
Spinalization and locomotor training differentially affect muscarinic acetylcholine receptor type 2 abutting on α‐motoneurons innervating the ankle extensor and flexor muscles

Complete thoracic spinal cord transection (SCT) impairs excitatory cholinergic inputs to ankle extensor (soleus; Sol) but not to flexor (tibialis anterior; TA) α‐motoneurons (MNs) modifiable by locomotor training applied post‐transection. The purpose of this study was to investigate whether Sol and TA MNs adapt to changes in cholinergic environment by differential regulation of their muscarinic receptors M2 (M2R). We examined Chrm2 (M2R gene) transcript level, high‐affinity 3‐quinuclidinyl benzilate‐3H ([3H]QNB) ligand binding, distribution and density of M2R immunolabeling in lumbar (L) segments in intact and SCT rats, with or without inclusion of 5‐week treadmill locomotor training. We show that at the second week after SCT the levels of Chrm2 transcript are reduced in the L3–6 segments, with [3H]QNB binding decreased selectively in the L5–6 segments, where ankle extensor MNs are predominantly located. At 5 weeks after SCT, [3H]QNB binding differences between the L3–4 and L5–6 segments are maintained, accompanied by higher density of M2R immunolabeling in the plasma membrane and cytoplasm of TA than Sol MNs and by enriched synaptic versus extrasynaptic M2R pools (52% TA vs. 25% Sol MNs). Training normalized M2R in TA MNs, improved locomotion, and reduced frequency of clonic episodes. Our findings indicate higher sensitivity of TA than Sol MNs to cholinergic signaling after SCT, which might shorten flexor twitches duration and contribute to generation of clonic movements. Synaptic enrichment in M2R density may reflect a compensatory mechanism activated in TA and Sol MNs to different extent in response to reduced strength of cholinergic signaling to each MN pool.
Connected Health in Hypertension Management

e-health is defined as the use of communication and information technologies (ICT) to manage patients and their health in a more efficient way, with the aim of improving the overall quality of care. Healthcare services relying on telehealth (or telemedicine) and mobile health (m-health) are the most popular e-health tools used by healthcare professionals and consumers. These applications allow the exchange of medical data between patients and their doctors or among healthcare professionals, mainly through the Internet, and are used to provide healthcare services remotely (so-called “connected health”). The most popular telemedicine application in the field of hypertension is blood pressure telemonitoring (BPT), which enables transmission of BP and various clinical information from patients' homes or from the community to the doctor's surgery or the hospital. Numerous randomized controlled trials have documented a significant BP reduction combined with an intensification and optimization of the use of antihypertensive medications in patients making use of BPT plus remote counseling by a case manager, with the supervision of a doctor or a community pharmacist (telepharmacy). The major benefits of BPT are usually observed in high-risk patients. BPT can also be based on m-health wireless solutions, provided with educational support, medication trackers and reminders, and teleconsultation. In this context, BPT may favor patient's self-management, as an adjunct to the doctor's intervention, and foster patient's participation in medical decision making, with consequent improvement in BP control and increase in medication adherence. In conclusion, e-health solutions, and in particular telemedicine, are increasingly attaining a key position in the management of the hypertensive patient, with an enormous potential in terms of improvement of the quality of the delivered care, increase in the chance of a successful BP control and effective prevention of cardiovascular diseases.
Functions and Potential Applications of Circular RNAs in Cancer Stem Cells

Circular RNAs (circRNAs) were discovered in the 1970s, but they have drawn increasing attention in recent years. Currently, we know that circRNAs are not “wrongly spliced” during transcription but play important roles in the initiation and development of various diseases, including cancers. Recently, a growing number of studies have suggested that cancer stem cells (CSCs) may contribute to the origination and maintenance of cancers. This review briefly introduces the major functions of circRNAs, including interacting with other noncoding RNAs, competing with pre-mRNA splicing, binding with proteins to form a scaffold, promoting protein nuclear translocation and even translating proteins in a cap-independent manner. Furthermore, we describe the regulatory mechanism of circRNAs in CSC phenotypes and discuss the potential clinical applications of circRNAs in CSC-targeted therapy, including functioning as new biomarkers, acting as vaccines and breaking the therapeutic resistance of CSCs. Finally, we discuss the major limitations and challenges in the field, which will be beneficial for the future clinical use of circRNAs.
The Efficacy of Ketogenic Diet in 60 Chinese Patients With Dravet Syndrome

Objective: To evaluate the efficacy and safety of ketogenic diet (KD) in patients with Dravet syndrome (DS). Methods: 60 DS patients receiving treatment of KD for more than 12 weeks from 2009 to 2018 were analyzed retrospectively. Modified Johns Hopkins protocol was used to initiate KD. Seizure frequency, electroencephalogram (EEG), cognition, language, and motor function of the patients were assessed. Side effects were monitored and adjusted accordingly. SPSS 23.0 software was used for all statistical analysis. Results: In total, 60 DS patients (34 boys, 26 girls) received treatment of KD for more than 12 weeks, and among them 41 (68.3%) patients remained on the diet for more than 24 weeks, 22 (36.7%) patients for more than 48 weeks. Seizures in 35 patients (58.3%) were reduced by over 50% at 12 weeks, and the KD effect was observed within 2 weeks in most of them. At 24 weeks, 61.1% (25/41) of the patients had a >50% seizure reduction. At 48 weeks, 77.3% (17/22) had an over 50% reduction in their seizure frequency. With the treatment of KD in the 60 DS patients, 10 patients had ever been seizure free for 12 months to 24 months (The median duration was 20 months). In 10 KD-effective patients, the background rhythm of their EEG showed obvious improvement, and interictal epileptic discharges decreased significantly. Cognitive function of 22 patients was improved. Language progressed in 14 patients. Motor function was improved in 13 patients. The efficacy of KD in DS patients did not correlate with the seizure onset age, the starting age of KD treatment, the SCN1A mutation and the numbers of antiepileptic drugs combined with KD treatment. The main adverse reactions of KD in the treatment process were gastrointestinal symptoms and metabolic disorders. Conclusions: KD treatment in DS patients has many advantages, including working rapidly, being effective in more than half of the DS patients and tolerable adverse reactions. Pharmoco-resistant DS patients are suggested to receive KD treatment.