Miracle-dz/UniFAR-FTUs huggingface dataset:
Certain investigations on multi input –SEPIC-RE boost-system with enhanced-response

Recent developments in converters have given pathway to high-gain-step up converter having low output voltage ripple. High-gain-step up converters can be found between Photovoltaic Voltage (PV) and Direct-Current (D-C) loads. The intention of this work is to identify multi converter system for multiple input sources and to improve time response of high-gain-step up-converter. Closed-loop Multi-Converter System (MCS) is utilized to regulate load voltage. This effort recommends suitable-controller for “closed-loop-controlled-SEPIC-REBOOST Converter fed DC motor”. The estimation of the yield in ‘open-loop’&‘closed- loop-circuit’ has been done using MATLAB or Simulink. Closed-loop-control of MCS with PI and FOPID-Controllers are investigated and their responses are evaluated in conditions of rise time, peak time, settling time and steady state error. It is seen that FOPID controlled MCS gives better time domain response in terms of motor speed. A ‘Prototype of MCS’ has been fabricated in the laboratory& the ‘experimental-results’ are authenti-cated with the simulation-results.
A fully integrated digital LDO with voltage peak detecting and push-pull feedback loop control

: A push-pull multi-loop architecture for the digital low drop-out (D-LDO) regulators is presented with small variations of output voltage and 200 mA load capacity. The propose D-LDO adopts voltage peak detector (VPD) to observe the output voltage ripples. Once undershoot or overshoot on output voltage is detected, the push-pull feedback loop is quickly triggered, which minimizes the voltage shoots even if the load current changes abruptly. Meanwhile, the shift register (S / R) feedback loop regulates the output voltage to desired value with high accuracy. Hence the D-LDO recovers steady state with greatly small voltage spikes. The proposed D-LDO is designed and simulated in SMIC 65 nm CMOS process with a 0.42 mm 2 active area. The simulated voltage overshoot and undershoot are 27 and 26 mV respectively, with load step of 20 to 200 mA with a 10-ns edge time. The max load current and quiescent current are 200 mA and 400 µA, respectively, and the peak current e ﬃ ciency is 99.8%.
A Neural Framework for Online Recognition of Handwritten Kanji Characters

The aim of this study is to propose an efficient and fast framework for recognition of Kanji characters working in a real-time during their writing. Previous research on online recognition of handwritten characters used a large dataset containing samples of characters written by many writers. Our study presents a solution that achieves fine results, using a small dataset containing a single sample for each Kanji character from only one writer. The proposed system analyses and classifies the stroke types appearing in a Kanji and then recognises it. For this purpose, we utilise a Convolutional Neural Network and a hierarchical dictionary containing Kanji definitions. Moreover, we compare the histograms of Kanjis to solve the problem of distinguishing character having the same number of strokes of the same type, but arranged in a different position in relation to each other. The proposed framework was validated experimentally on online handwritten Kanjis by beginners and advanced learners. Achieved accuracy up to 89 % indicates that it may be a valuable solution for learning Kanji by beginners.
αvβ3 Integrin Mediates Radioresistance of Prostate Cancer Cells through Regulation of Survivin

The αvβ3 integrin is involved in various physiologic and pathologic processes such as wound healing, angiogenesis, tumor growth, and metastasis. The impact of αvβ3 integrin on the radiosensitivity of prostate cancer cells and the molecular mechanism controlling cell survival in response to ionizing radiation (IR) was investigated. Both LNCaP cells stably transfected with αvβ3 integrin and PC-3 cells that contain endogenous β3 integrin were used. This study demonstrated that αvβ3 integrin increases survival of αvβ3-LNCaP cells upon IR while small hairpin RNA (shRNA)-mediated knockdown of αvβ3 integrin in PC-3 cells sensitizes to radiation. Expression of αvβ3 integrin in LNCaP cells also enhances anchorage-independent cell growth while knockdown of αvβ3 integrin in PC-3 cells inhibits anchorage-independent cell growth. The αvβ3 antagonist, cRGD, significantly increases radiosensitivity in both αvβ3-LNCaP and PC-3 cells. Moreover, αvβ3 integrin prevents radiation-induced downregulation of survivin. Inhibition of survivin expression by siRNA or shRNA enhances IR-induced inhibition of anchorage-independent cell growth. Overexpression of wild-type survivin in PC-3 cells treated with αvβ3 integrin shRNA increases survival of cells upon IR. These findings reveal that αvβ3 integrin promotes radioresistance and regulates survivin levels in response to IR. Implications: Future translational research on targeting αvβ3 integrin and survivin may reveal novel approaches as an adjunct to radiotherapy for patients with prostate cancer.
Two Nomograms to Select Hepatocellular Carcinoma Patients with Macroscopic Vascular Invasion for Hepatic Resection

Background: Hepatocellular carcinoma (HCC) patients with macroscopic vascular invasion (MaVI) have limited lifespans. According to recent studies, surgical treatment may be the most promising option. However, the current staging system does not select patients who will benefit most from hepatic resection. Study design: A total of 123 patients undergoing hepatic resection for HCC with macroscopic vascular invasion (MaVI) between 2010 and 2014 at The Third Affiliated Hospital of Sun Yat-sen University were selected. We developed nomograms for overall survival (OS) and recurrence-free survival (RFS) using a Cox proportional hazards model. We assessed nomogram model performance based on the concordance index (C-index) and a calibration plot. Results: The 1- and 3-year overall survival (OS) rates for all patients were 84% and 71%, respectively. Correspondingly, the 1- and 3-year recurrence-free survival (RFS) rates were 55% and 35%, respectively. In the multivariate Cox model, the extent of vascular invasion, tumour count, fibrinogen, HBV DNA load and serum potassium significantly affected prognosis. The C-index of the two nomograms were 0.80 and 0.69 for OS and RFS respectively. Based on our nomogram, patients predicted to have 1-year and 3-year RFS rates of more than 80% and 56% had actual 1-year and 3-year RFS rates of 81.8% and 57.1%, respectively, including 9.0% and 17.1% of the HCC patients with MaVI in our database. Conclusion: Surgical treatments are a therapeutic option that can provide more survival benefit for HCC patients with MaVI. With the help of our nomograms, selected HCC patients with MaVI can benefit from hepatic resection and have the same survival rate as that for early-stage HCC patients.
A compact filtering UWB antenna with band-notched function

A compact filtering UWB antenna with band-notched function is proposed. The proposed antenna mainly consists a stepped impedance resonator feeding line with low-pass characteristic at the top of the dielectric substrate and two slots at the bottom. The stepped impedance resonator is used to enhance the upper band-edge selectivity, and the narrow slot near the stepped slot is employed to improve the lower band-edge selectivity. What’s more, two microstrip lines paralleling to the feeding line are located at the end of the slot, which can generate the notch band by controlling the length of the current path in two microstrip lines. Compared with the traditional antennas, the proposed antenna is not only smaller in size, but also has better suppression of the in-band and out-of-band interference signals in function.
Position Papers of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, Poznań, Poland, September 9-12, 2018

We propose a method to estimate whether student hold knowledge on the contents and tasks of the class, using cognitive load and mental load. We estimate the cognitive load of the student using a pulse wave and the pulse change.The mental load can be estimated from the activity of the autonomic nerve. In order to clarify student knowledge on course contents, we estimate student schemata from the load on the student.We conducted an experiment, preparing 2 kinds of tasks; S1 task can be answered with student schemata, while S2 task cannot be answered with student schema. Through the experiment using the proposed method, we classified tasks given to students into S1 tasks and S2 tasks.It was possible to estimate the student schemata from the standard deviation of the heart rate.This method makes it possible to figure out student understanding earlier than traditional knowledge measurement method.
Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification

News companies have a need to automate and make the process of writing about popular and new events more effective. Current technologies involve robotic programs that fill in values in templates and website listeners that notify editors when changes are made so that the editor can read up on the source change on the actual website. Editors can provide news faster and better if directly provided with abstracts of the external sources and categorical meta-data that supports what the text is about. In this article, the focus is on the importance of evaluating critical parameter modifications of the four classification algorithms Decisiontree, Randomforest, Multi Layer perceptron and Long-Short- Term-Memory in a combination with the paragraph vector algorithms Distributed Memory and Distributed Bag of Words, with an aim to categorise news articles. The result shows that Decisiontree and Multi Layer perceptron are stable within a short interval, while Randomforest is more dependent on the parameters best split and number of trees. The most accurate model is Long-Short-Term-Memory model that achieves an accuracy of 71 %.
The morphology of the human cerebrovascular system

While several methodologies exist for quantifying gray and white matter properties in humans, relatively little is known regarding the spatial organization and the intersubject variability of cerebral vessels. To resolve this, we developed a fast, open‐source processing algorithm using advanced vessel segmentation schemes and iterative nonlinear registration to isolate, extract, and quantify cerebral vessels in susceptibility weighting imaging (SWI) and time‐of‐flight angiography (TOF‐MRA) datasets acquired in a large cohort (n = 42) of healthy individuals. From this, whole‐brain venous and arterial probabilistic maps were generated along with the computation of regional densities and diameters within regions based on popular anatomical and functional atlases. The results show that cerebral vasculature is highly heterogeneous, displaying disproportionally large vessel densities in brain areas such as the anterior and posterior cingulate, cuneus, precuneus, parahippocampus, insula, and temporal gyri. On average, venous densities were slightly higher and less variable across subjects than arterial. Moreover, regional variations in both venous and arterial density were significantly correlated to cortical thickness (R = 0.42). This publicly available new atlas of the human cerebrovascular system provides a first step toward quantifying morphological changes in the diseased brain and serving as a potential regression tool in fMRI analysis.
Nomogram predicts survival benefit for non- metastatic esophageal cancer patients who underwent preoperative radiotherapy

Background A prognostic model to predict the individual disease-specific survival (DSS) rates of non-metastatic esophageal cancer (nMEC) patients after preoperative radiotherapy (pRT) has not been established. In the current study, we aimed to establish a survival nomogram for nMEC patients after pRT. Methods We identified 2,424 nMEC patients who underwent pRT from the Surveillance, Epidemiology, and End Results database. Approximately, 80% (n=1,948) of the included patients were randomly selected and designated as training data set, and the remaining patients (n=476) were defined as external validation set. Nomogram was established by the training set and validated by the validation set. Results According to the results of the multivariate analysis, a nomogram combined with age at diagnosis, sex, tumor location, yp-T stage, yp metastatic lymph node ratio stage (yp-mLNRS), and grade was developed. The C-index of the model was significantly higher than that of yp-TNM staging system (0.62, 95% CI, 0.58 to 0.66 vs 0.55, 95% CI, 0.51 to 0.60; p<0.001). Calibration plots of the nomogram showed that the probability of DSS rates optimally corresponded to the survival rates were observed. Conclusion The proposed nomogram resulted in more reliable DSS prediction for nMEC patients in general population, regardless of the patient’s histological type. Upon validation, it will aid in individualized survival prediction and prove useful in clinical decision making in nMECs after pRT.
Improving Arterial Wall Characteristics in Patients After Myocardial Infarction with a Very Low Dose of Fluvastatin and Valsartan: A Proof-of-Concept Study

Background We tested the concept of improving arterial wall characteristics by treatment with a very low-dose combination of fluvastatin and valsartan (low-flu/val) in stable, post-myocardial infarction (MI) patients. Material/Methods We enrolled 36 post-MI middle-aged males in the treatment (n=20) or control (n=16) group receiving low-flu/val (10 mg/20 mg) or placebo, respectively. The parameters of endothelial function (flow-mediated dilatation (FMD), reactive hyperemia index), and arterial stiffness (carotid-femoral pulse wave velocity (cf-PWV), local carotid PWV, and beta stiffness coefficient) were measured before and after 30 days of therapy, and 10 weeks later. Results Treatment with low-flu/val improved FMD from 3.1±1.3% to 4.8±1.5% (p<0.001; by 54.8%) and cf-PWV from 7.8±1.1 to 6.7±1.5 m/s (p<0.01; by 14.1%) without affecting either lipids or blood pressure. In the treatment group, FMD and/or cf-PWV significantly improved in 17 patients, but the improvements did not correlate. The benefits obtained were still detectable 10 weeks after complete treatment cessation. No changes were obtained in the control group. No other vascular parameters changed. Conclusions Low-flu/val added “on top of” optimal therapy substantially improves endothelial function and arterial stiffness in post-MI patients. Since these improved parameters are well-known predictors of future coronary events, such treatment could decrease cardiovascular risk. Further studies are therefore warranted.
Spatial mapping of affinity changes for the integrin LFA‐1 during cell migration using clusters identified based on local density

Localization microscopy methods like Stochastic Optical Reconstruction Microscopy (STORM) are very well suited for exploring clustering of proteins, as the data inherently provide a list of molecular coordinates. Here we use state‐of‐art cluster analysis algorithms (DBSCAN) to explore the clustering behaviour of different affinity forms of the integrin LFA‐1. It has been suggested that LFA‐1 may form clusters, in order to increase the avidity to ICAM‐1. However, this hypothesis still seems to be controversial. In this study, we found, variations in clustering behaviour among the different affinity forms of LFA‐1 in migrating T‐cells. We found that panLFA‐1 is located in clusters throughout the polarised cell on ICAM‐1, with an increased density of molecules and clusters in the mid area and rear of the cell, whereas the intermediate and high affinity form of LFA‐1 showed an increased number in the mid area of a migrating cell and the high affinity form of LFA‐1 in the front and rear. Together, these data suggest that, in addition to LFA‐1 conformation, protein clustering might play a role in controlling cell‐substrate adhesion on ICAM‐1.By applying the cluster analysis algorithm DBSCAN to localization microscopy data, integrin clusters could be identified and different cluster parameters could be quantified.
Software Configuration Diagnosis - A Survey of Existing Methods and Open Challenges

As software systems become more complex and feature-rich, conﬁguration mechanisms are needed to adapt them to different execution environments and usage proﬁles. As a consequence, failures due to erroneous conﬁguration settings are becoming more common, calling for effective mechanisms for diagnosis, repair, and prevention of such issues. In this paper, we survey approaches for diagnosing software conﬁguration errors, methods for debugging these errors, and techniques for testing against such issues. In addition, we outline current challenges of isolating and ﬁxing faults in conﬁgu-ration settings, including improving fault localization, handling the case of multi-stack systems, and conﬁguration veriﬁcation at run-time.
A Ka band CMOS differential LNA with 25 dB gain using neutralized bootstrapped cascode amplifier

This paper presents a Ka band two-stage differential LNA in standard CMOS technology. Neutralized bootstrapped cascode amplifier (NBCA) is implemented to improve the gain and noise performance of the LNA while maintaining the stability. By using 1:3 transformer and larger common gate transistor in the output buffer, the output matching is improved. The effects of neutralization and bootstrapped capacitor on the noise figure, gain and stability are further analyzed. Measurements show that the whole circuit offers a 25 dB peak gain and 4.1 dB NF at 34.5GHz, with better than 10 dB return losses at the frequency band of interest (33.5GHz–36GHz).
Social Pedestrian Group Detection Based on Spatiotemporal-oriented Energy for Crowd Video Understanding

Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection of such groups is scientifically important for modeling social behavior, as well as practically useful for crowd video understanding. A social group refers to a cluster of members who tend to keep similar motion state for a sustained period of time. One of the main challenges of social group detection arises from the complex dynamic variations of crowd patterns. Therefore, most works model dynamic groups to analysis the crowd behavior, ignoring the existence of stationary groups in crowd scene. However, in this paper, we propose a novel unified framework for detecting social pedestrian groups in crowd videos, including dynamic and stationary pedestrian groups, based on spatiotemporal-oriented energy measurements. Dynamic pedestrian groups are hierarchically clustered based on energy flow similarities and trajectory motion correlations between the atomic groups extracted from principal spatiotemporal-oriented energies. Furthermore, the probability distribution of static spatiotemporal-oriented energies is modeled to detect stationary pedestrian groups. Extensive experiments on challenging datasets demonstrate that our method can achieve superior results for social pedestrian group detection and crowd video classification.
I stand alone

Operating temperature [°C] -40 to +105 -40 to +105 -40 to +85 Radio Chip inside nRF5340 nRF52833 nRF52833 Bluetooth qualification version 5.2 5.2 5.2 5.2 5.2 5.2 5.1 5.1 5.1 5.1 5.1 5.1 5.1 Bluetooth Low Energy • • • • • • • • • • • • • Thread / Zigbee • • • • • • • • • NFC • • • • • • • • • • • • • Max range [meters] 700 700 40
Predictive factors for the efficacy of the second taxane treatment in patients with advanced cancer

Purpose Research has revealed that some patients who develop resistance to the first taxane treatment exhibit a moderate response to the second taxane treatment (incomplete cross-resistance between paclitaxel and docetaxel). However, which patients are most likely to respond to the second treatment remains unclear. The aim of this study was to determine the predictive factors for the efficacy of the second taxane treatment in patients resistant to the first. Patients and methods We enrolled patients treated with paclitaxel and docetaxel (n=31) in this study. Using univariate and multivariate analyses, we determined the predictive factors for the efficacy of the second taxane treatment. Then, we assigned patients to one of the three groups: 1) those with a partial response (PR) to the first taxane treatment who subsequently became refractory (PR group); 2) those whose response was stable disease (SD) and subsequently became refractory (SD group); and 3) those whose response was the progression of the disease with the first taxane treatment (progression disease [PD] group). Furthermore, the response rates were assessed for each group. All statistical analyses were performed using JMP 11. Results Responses to the first taxane treatment considerably correlated with the efficacy of the second treatment in patients with a PR to the first taxane treatment (P=0.0061, univariate analysis; P=0.0056, multivariate analysis). In addition, response rates to the second taxane treatment in the PR, SD, and PD groups were 33.3%, 0%, and 0%, respectively. Conclusion The response to the first taxane treatment was a predictive factor for the efficacy of the second taxane treatment in patients with a PR to the first. Thus, the second treatment is highly recommended for patients who exhibit tumor shrinkage (a PR) by the first treatment.
In vitro effects of the chemotherapy agent water‐soluble micellar paclitaxel (Paccal Vet) on canine hemangiosarcoma cell lines

Paccal Vet (Osamia Pharmaceuticals) is a water-soluble nanoparticle micellar formulation of the drug paclitaxel that is well tolerated in dogs. This study evaluated the in vitro effect of Paccal Vet on two canine hemangiosarcoma (HSA) cell lines and their expression of vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF). Paccal Vet caused HSA cell death in a dose- and time-dependent manner. The 50% inhibitory concentration (IC50 ) for the two HSA cell lines were 7 to 610 ng/mL, which are clinically achievable. Cell cycle analysis through flow cytometry showed cell cycle arrest at G2/M phase. Annexin-V and caspase 3/7 activity assays showed significant increases in apoptosis in correlation with the IC50 in each cell line. Reverse transcriptase-PCR was performed on the cell lines to validate the gene expression of VEGF and bFGF. Results obtained from this study support future studies involving the use of paclitaxel (micellar) for treatment of canine HSA.
Modulation transfer function analysis of silicon X-ray sensor with trench-structured photodiodes

A silicon X-ray sensor with trench-structured photodiodes was studied and the influence of Compton scattering was estimated. By irradiating the target pixel with X-rays and measuring the signal from adjacent pixels, X-ray scattering and pixel blur of the proposed sensor was determined. An X-ray sensor with a length of 22.6mm was designed and fabricated, and its modulation transfer function (MTF) was obtained. A sensor structure to improve the MTF level to that of CdTe was proposed.