Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Oscillating Capacitive Wireless Power Transfer with Robust Operation

We show that a capacitive wireless power transfer device can be designed as a self-oscillating circuit using operational amplifiers. As the load and the capacitive wireless channels are part of the feedback circuit of the oscillator, the wireless power transfer can self-adjust to the optimal condition under the change of the load resistance and the transfer distance. We have theoretically analyzed and experimentally demonstrated the proposed design. The results show that the operation is robust against changes of various parameters, including the load resistance.
Propagation Controlled Photonic Crystal Fiber-Based Plasmonic Sensor via Scaled-Down Approach

Light trapping capability is the key phenomena of the photonic crystal fiber (PCF) which paves the broad range of applications. In this work, we control the light-guiding direction of the proposed PCFs <italic>via</italic> scaled-down approach to enhance the coupling between core-guided mode and surface plasmon polariton (SPP) mode resulting in the increase of sensitivity. We introduce the scaled-down air-holes in the first and second rings of the proposed PCF which provides the light guiding capability through the desire scaled-down region. A chemically stable plasmonic material gold is used outside the PCF structure to facilitate the detection of unknown analyte externally. Finite element method is used for numerical investigations, and the sensor performance is investigated by following the wavelength and amplitude interrogation methods. The proposed sensor shows the maximum wavelength sensitivities of 30 000 and 22 000 nm/RIU, and the maximum amplitude sensitivities of 1212 RIU<sup>−1</sup> and 1506 RIU<sup>−1</sup> for <inline-formula> <tex-math notation="LaTeX">$x$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">$y$ </tex-math></inline-formula>-polarized modes, respectively in the analyte refractive index (RI) range of 1.33 to 1.39. It also shows high sensor wavelength resolution of <inline-formula> <tex-math notation="LaTeX">$3.33\times 10^{-6}$ </tex-math></inline-formula> RIU and <inline-formula> <tex-math notation="LaTeX">$4.54\times 10^{-6}$ </tex-math></inline-formula> RIU, and a figure of merit about 508 and 500 for <inline-formula> <tex-math notation="LaTeX">$x$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">$y$ </tex-math></inline-formula>-polarized modes, respectively. It should be noted that the proposed PCF SPR sensor shows the significant sensing response for both polarization modes, as a result it will provide more freedom in choosing light source during practical implementation. Furthermore, the finding results indicates the proposed sensor will be effective for the detection of organic chemicals, biomolecules, and medical diagnostics.
Correlation between Google Trends on dengue fever and national surveillance report in Indonesia

ABSTRACT Background: Digital traces are rapidly used for health monitoring purposes in recent years. This approach is growing as the consequence of increased use of mobile phone, Internet, and machine learning. Many studies reported the use of Google Trends data as a potential data source to assist traditional surveillance systems. The rise of Internet penetration (54.7%) and the huge utilization of Google (98%) indicate the potential use of Google Trends in Indonesia. No study was performed to measure the correlation between country wide official dengue reports and Google Trends data in Indonesia. Objective: This study aims to measure the correlation between Google Trends data on dengue fever and the Indonesian national surveillance report. Methods: This research was a quantitative study using time series data (2012–2016). Two sets of data were analyzed using Moving Average analysis in Microsoft Excel. Pearson and Time lag correlations were also used to measure the correlation between those data. Results: Moving Average analysis showed that Google Trends data have a linear time series pattern with official dengue report. Pearson correlation indicated high correlation for three defined search terms with R-value range from 0.921 to 0.937 (p ≤ 0.05, overall period) which showed increasing trend in epidemic periods (2015–2016). Time lag correlation also indicated that Google Trends data can potentially be used for an early warning system and novel tool to monitor public reaction before the increase of dengue cases and during the outbreak. Conclusions: Google Trends data have a linear time series pattern and statistically correlated with annual official dengue reports. Identification of information-seeking behavior is needed to support the use of Google Trends for disease surveillance in Indonesia.
Wild‐type p53 regulates OTOP2 transcription through DNA loop alteration of the promoter in colorectal cancer

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide and remains a major public health issue. Therefore, further investigation is required to delineate the cellular and molecular mechanisms underlying colorectal tumorigenesis. Using CRC data taken from The Cancer Genome Atlas, we determined that the expression of otopetrin 2 (OTOP2) is highly correlated with malignancy grade and rate of patient survival. Here, we report that OTOP2 is down‐regulated in cancerous tissues and that elevated OTOP2 effectively suppresses tumor proliferation in vitro. We demonstrate that wild‐type p53 (wtp53), but not mutant p53 (mtp53), can regulate the transcription of otop2 in CRC cells. Subsequently, we investigate the chromatin architecture of the otop2 promoter, whereby we discover alterations in p53‐dependent DNA loop organization and CCCTC‐binding factor (CTCF) binding between cells with wtp53 and mtp53. In conclusion, our study promotes an in‐depth understanding of tumorigenesis, which may also lead to the development of therapeutic applications targeting human malignancy.
Investigation of rough surfaces for propagation modeling in caves

Making wireless communications available in caves is important, it will benefit several activities that are caves-related such as volcanology, speleo-biology, speleo-archeology, hydrology, military reconnaissance, and cave exploration. Besides, it will also enhance the safety of the operation of show caves like the tourist caves and furthermore, may assist in the search and rescue operation in caves. In this paper, we study the behavior of radio waves on a random rough surface using ray tracing technique that incorporates a special twist to the Fresnel reflection coefficient to account for the scattering effects arising from that rough surface. The findings of our work lays a foundation for further investigation to be conducted in actual cave environment, since the ground surface inside a cave is definitely not smooth but rough.
NMDA spikes mediate amplification of inputs in the rat piriform cortex

The piriform cortex (PCx) receives direct input from the olfactory bulb (OB) and is the brain's main station for odor recognition and memory. The transformation of the odor code from OB to PCx is profound: mitral and tufted cells in olfactory glomeruli respond to individual odorant molecules, whereas pyramidal neurons (PNs) in the PCx responds to multiple, apparently random combinations of activated glomeruli. How these ‘discontinuous’ receptive fields are formed from OB inputs remains unknown. Counter to the prevailing view that olfactory PNs sum their inputs passively, we show for the first time that NMDA spikes within individual dendrites can both amplify OB inputs and impose combination selectivity upon them, while their ability to compartmentalize voltage signals allows different dendrites to represent different odorant combinations. Thus, the 2-layer integrative behavior of olfactory PN dendrites provides a parsimonious account for the nonlinear remapping of the odor code from bulb to cortex.
Design considerations for fully superconducting synchronous motors aimed at future electric aircraft

Electric propulsion for long distance aircraft requires very high power densities likely only possible with superconducting machines. There have been a number of superconducting motor design and prototype studies but very few that are fully superconducting. Radial design topologies for the stator and rotor geometry, are qualitatively compared in the context of fully superconducting motors aimed at electric aircraft and previously published superconducting motor prototypes. AC magnetic fields experienced by superconducting components leads to AC loss, which lowers efficiency and imposes a cryogenic heat penalty. The role of stator teeth on ripple fields experienced by superconducting components has been modelled to illustrate the interdependence of AC fields experienced by the stator and rotor.
Bistatic RCS Calculations of Complex Realistic Targets Using Asymptotic Methods

Bistatic radar cross section (RCS) can improve target detection and identification due to increased target information. Calculating the bistatic scattering of electrically large targets by using asymptotic computational electromagnetic methods is important as these methods provide a suitable alternative to measurements and full-wave simulations. Measurements and fullwave simulations can be impractical due to high cost associated with maintenance of the measurement facilities, long lead times and high computational requirements. The accuracy of physical optics and geometrical optics to calculate the bistatic RCS of two electrically large realistic aircraft targets is investigated in this paper. These two methods are compared to the full-wave multi-level fast multipole method.
Detection of human papilloma virus-E6/E7 proteins of high-risk human papilloma virus in saliva and lesional tissue of oral squamous cell carcinoma patients using nested multiplex polymerase chain reaction: A comparative study

Introduction: Human papilloma virus (HPV)-associated oral squamous cell carcinoma (OSCC) shows different biological behavior as compared to tobacco-induced OSCC. Mere presence of HPV in OSCC is of no clinical significance; however, the integration of HPV-DNA through E6/E7 gene into the host genome is important as it affects the development and progression of OSCC. Aim: The aim of this study was to determine the presence of E6/E7 proteins of high-risk (HR) HPV (HPV16 and HPV18) in saliva as well as lesional tissue of OSCC patients and to determine the use of saliva as an alternative to tissue for E6 and E7 proteins in OSCC. Materials and Methods: Histopathologically confirmed 47 cases of OSCC were taken up for the study. The tumor tissue and saliva sample of each patient were obtained to detect the presence of HPV16 and HPV18 along with E6/E7 proteins in both samples by nested multiplex polymerase chain reaction (NMPCR). The data were analyzed using Student t-test (2 tailed) and Wilcoxon signed-ranks test. Results: In tumor tissue, 40.42% of cases showed HPV16 (19/47) positivity while 34.04% were HPV18 (16/47) positive; whereas, in salivary sample, 31.91% showed HPV16 (15/47) positivity while 25.53% of cases were HPV18 positive (12/47). Mean age of participants was 46.7 years, males showed no significant difference from females in the prevalence of HPV 16/18 with tongue being the most common site for the occurrence. There was no statistically significant difference for HPV16/18 presence in tissue and saliva sample of OSCC. Taking lesional tissue sample as standard, sensitivity and specificity for HPV16 and HPV18 in saliva by NMPCR was estimated at 68.42% and 92.86%, respectively. The accuracy level of NMPCR detection for HPV16 was 82.98% and HPV18 was 65.96%. Conclusion: The study revealed no significant difference in the prevalence of HPV (16/18) among tissue and saliva of OSCC patients in Indian population. The study also found no difference in the level of DNA content of HPV in saliva and tissue indicating that saliva can be used as an alternative predictor of HPV positivity in OSCC.
Analytical Drain Current Model for Amorphous and Polycrystalline Silicon Thin-Film Transistors at Different Temperatures Considering Both Deep and Tail Trap States

Our previous drain current model for the organic and amorphous InGaZnO thin-film transistors is applied to the amorphous and polycrystalline silicon thin-film transistors. In the drain current model, it is assumed that the trapped carrier concentration is much higher than the free carrier concentration considering both deep trap states and tail trap states in the energy gap of the thin film. The model is valid in both subthreshold and above-threshold regime, and is verified by the available experimental data at different temperatures.
Analysis of the Novel Snapback-Free LIGBT With Fast-Switching and Improved Latch-Up Immunity by TCAD Simulation

In this letter, a novel snapback-free LIGBT with fast-switching and improved latch-up immunity is proposed and investigated by TCAD simulation. The structure features a shorted-anode NPN (SA NPN) beside the insulated oxide trench in the N-buffer and a lowly doped P-region (PD) alongside the deep-oxide trench (DOT) in the N-drift. The SA NPN provides an effective path of electron extraction and completely suppresses the snapback voltage. The PD changes the transmission path of hole current, makes the distribution of hole current more uniform, and contributes to the depletion of the drift region. As simulation results show, at the same forward voltage drop of 1.40 V, the turn-off time for the proposed SAPD LIGBT is reduced by 36.6% and 57.4%, respectively, compared with SA LIGBT and DOT LIGBT. In addition, compared with DOT LIGBT, breakdown voltage is increased by 7.6% and latch-up voltage is increased by nearly 20% for the proposed SAPD LIGBT.
A Semiparametric Approach for Modeling Not-Reached Items

Tests administered in studies of student achievement often have a certain amount of not-reached items (NRIs). The propensity for NRIs may depend on the proficiency measured by the test and on additional covariates. This article proposes a semiparametric model to study such relationships. Our model extends Glas and Pimentel’s item response theory model for NRIs by (1) including a semiparametric representation of the distribution of the onset of NRIs, (2) modeling the relationships of NRIs with proficiency via a flexible multinomial logit regression, and (3) including additional covariates to predict NRIs. We show that Glas and Pimentel’s and our model have close connections to event history analysis, thereby making it possible to apply tools developed in this context to the analysis of NRIs. Our model was applied to a timed low-stakes test of mathematics achievement. Our model fitted the data better than Glas and Pimentel’s model, and allowed for a more fine-grained assessment of the onset of NRIs. The results of a simulation study showed that our model accurately recovered the relationships of proficiency and covariates with the onset of NRIs, and reduced bias in the estimates of item parameters, proficiency distributions, and covariate effects on proficiency.
Identification of Significant Protein Diabetes Mellitus Type 2 with Fuzzy C- Means and Topological Analysis

Computational approach for identifying significance of proteins related to a certain disease was proposed as one of the solutions from the problem of experimental method application which is generally cost and time consuming. The case of study was conducted on diabetes mellitus (DM) type 2 disease. The purpose of this research is to identify significant proteins that causes diabetes mellitus type 2 by applying Fuzzy C-Means clustering algorithm and topological analysis from graph theory. A total of 100 proteins were obtained, some of them were identified as most significant proteins such as GCK, HNF4A, SLC30A8, SLC2A2, NEUROD1, PPARG, IRS1, HNF1B, PDX1 and RETN. It is expected that this results can be used by pharmacology researcher to screen the candidates of active compounds that have association with those proteins that representing diabetes mellitus (DM) type 2 disease.
Concussion knowledge among family physicians in Croatia

Aim: The objective of this study was to administer and analyze results of a survey targeting knowledge about concussion symptoms, diagnosis, treatment and expected recovery among family medicine specialists in the Split–Dalmatia County of Croatia. Methods: An electronic survey questionnaire was developed utilizing concepts from previously published studies on concussion knowledge, attitudes and beliefs completed by physicians. The survey was intended to briefly and broadly assess concussion knowledge of Croatian healthcare providers. The first section of the survey included five questions clarifying professional practice, years of experience and experience with concussions; the second section included 15 questions about typical concussion symptoms; the third section included 12 questions focused upon three primary components of concussion knowledge: concussion diagnosis, treatment and recovery. Results: Out of 242 surveys mailed, 81 questionnaires (33%) were completed while 161 respondents (67%) did not answer. Out of the 81 completed surveys, 76 (94%) were returned by family physicians specialist and five (6%) by resident physicians in training. 39 (48%) had treated less than ten patients with concussion during last year: 40 (49%) treated 11–20 patients with concussion; and two (3%) treated greater than 20 patients with concussion during last year. While most responses did accurately reflect knowledge of common symptoms (90–100% correct), there was significant lack of knowledge in three areas: only 19% of participants stated that diagnosis of concussion does not require loss of consciousness; three quarters of respondents believed that a diagnosis of concussion requires direct contact to the head and 83% of the respondents believed that persistent subjective complaints are always the result of a more severe initial injury. Discussion: This is the first investigation conducted in Croatia to examine knowledge of concussion diagnosis, as well as the management practices held by medical professionals. Overall, the findings suggest that the knowledge and management practices among family doctors in the region are not consistent with current worldwide views and recommendations. There was not an accurate knowledge of concussion diagnosis, treatment, recovery and prognosis among family physicians. Continued education of medical staff to better identify concussion and increased reliance on objective methods for managing concussion will improve patient management and outcome.
Prune Deep Neural Networks With the Modified  $L_{1/2}$  Penalty

Demands to deploy deep neural network (DNN) models on mobile devices and embedded systems have drastically grown in recent years. When transplanting DNN models to such platforms, requirements pertaining to computation and memory use are bottlenecks. To overcome them, network pruning has been carefully studied as a method of network compression. The effectiveness of network pruning is significantly affected by incorrect pruning on important connections. In this paper, we propose a network pruning method based on the modified <inline-formula> <tex-math notation="LaTeX">$L_{1/2}$ </tex-math></inline-formula> penalty that reduces incorrect pruning by increasing the sparsity of the pretrained models. The modified <inline-formula> <tex-math notation="LaTeX">$L_{1/2}$ </tex-math></inline-formula> penalty yields better sparsity than the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> penalty at a similar computational cost. Compared with the past work that numerically defines the importance of connections and re-establishes important weights when incorrect pruning occurs, our method achieves faster convergence by using a simpler pruning strategy. The results of experiments show that our method can compress LeNet300-100, LeNet-5, ResNet, AlexNet, and VGG16 by factors of <inline-formula> <tex-math notation="LaTeX">$66\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$322\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$26\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$21\times $ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$16\times $ </tex-math></inline-formula>, respectively, with negligible loss of accuracy.
Indoor Localization Method Using Pathloss-Distance Relationship with Handset Sensor Information

This paper proposes an indoor localization method of the mobile handset using Bluetooth Low Energy (BLE) beacons. The method estimates the distance between the BLE transmitter and the handset by two different ways, i.e. the first one uses the pathloss-distance relationship, and the second one uses the Pedestrian Dead-Reckoning (PDR) relying on accelerometers built in the handset. The location is jointly estimated by using both results. Experimental results show that the localization error of the proposed method was 1.14 m on average, which is 2.16 m smaller than that of the method using only pathloss-distance relationship.
The Epidemiology and Economic Burden of Obesity and Related Cardiometabolic Disorders in the United Arab Emirates: A Systematic Review and Qualitative Synthesis

Background Noncommunicable diseases (NCDs) are considered as a global health problem and considered as a public health priority with the more considerable increasing trend of obesity and cardiometabolic disorders rates in the Middle Eastern countries. This systematic review aims at assessing the prevalence, incidence rates, and trends, as well as the cost of obesity and related cardiometabolic disorders in the United Arab Emirates (UAE). Methods A highly sensitive strategy was used to retrieve original observational studies, addressing the epidemiology and cost of obesity and related cardiometabolic disorders in the UAE, irrespective of nationality (nationals and expatriates). The search was conducted on April 4, 2017, within numerous electronic databases and the grey literature. Standardized and validated methods were used for data extraction and analysis as well as quality assessment. Results 6789 records were retrieved, of which 36 were deemed eligible. High prevalence rates were reported for obesity, diabetes, hypertension, and metabolic syndrome in all studies. However, the definitions and methods employed by the studies were highly variable. The risk of bias in the epidemiological studies ranged between low and medium. Only one study reported the cost of illness for diabetes. In this study, the estimated cost per patient was $2,015 (adjusted to the year 2015), and it became twofold and sixfold higher in patients with microvascular and macrovascular complications, respectively. Conclusions Obesity and related cardiometabolic disorders are highly prevalent in the UAE, but quoting a precise prevalence for them is difficult given the methodological heterogeneity of the epidemiological studies addressing them. Nonetheless, we detected a 2-3-fold increase in the prevalence of overweight and obesity in the UAE between 1989 and 2017. It is hopeful that this systematic review will provide an insight into direct future studies, especially longitudinal studies exploring obesity and cardiometabolic risks and their costs.