Miracle-dz/UniFAR-FTUs huggingface dataset:
Signal processing and general purpose data acquisition system for on-line tomographic measurements

New analog signal conditioning electronics and data acquisition systems have been developed for the soft x-ray and bolometric tomography diagnostic in the reverse field pinch experiment (RFX). For the soft x-ray detectors the analog signal processing includes a fully differential current to voltage conversion, with up to a 200 kHz bandwidth. For the bolometers, a 50 kHz carrier frequency amplifier allows a maximum bandwidth of 10 kHz. In both cases the analog signals are digitized with a 1 MHz sampling rate close to the diagnostic and are transmitted via a transparent asynchronous xmitter/receiver interface (TAXI) link to purpose built Versa Module Europa (VME) modules which perform data acquisition. A software library has been developed for data preprocessing and tomographic reconstruction. It has been written in C language and is self-contained, i.e., no additional mathematical library is required. The package is therefore platform-free: in particular it can perform online analysis in a real-time applic.
Apple leaf disease detection and classification based on transfer learning

: The world population and the number of people affected by hunger constantly increases. Precision farming offers new solutions to a modern and more fertile production in agriculture. Early and in-place disease detection is one of the fields that recent studies have focused on. The present paper introduces a new approach to transfer learning in that training, validating and testing of the model have been made on images from different sources to see its effectiveness. Several optimization methods including the adaptation of a recent custom PowerSign optimization algorithm are compared in the study. Accordingly, the model with Adagrad optimizer produced more consistent training, validation and testing accuracies as 92%, 91% and 91%, respectively. The final model is transformed into a mobile application and tested on the field. The app showed high accuracy in the real environment on condition that the phone camera should be kept close to the leaf and focus should be clear on the image
Counselling students' responses to conducting role‐play activities online: An evaluation of MSc university students

The transition to remote learning in response to the COVID‐19 pandemic was unprecedented and unanticipated, resulting in professional courses delivering content and conducting skills‐based practice online. For counselling students, placements also transitioned to online, meaning previous skills acquired through face‐to‐face learning required adapting for remote working. This project sought to evaluate UK‐based counselling students' experiences of participating in online role‐play activities. Through purposive sampling, individual semi‐structured interviews were conducted and analysed applying thematic analysis. The findings indicated participants identified fundamental differences between planned online content compared to the unanticipated transition they experienced due to the pandemic. Whilst varying attitudes were shared, all participants recognised the value of skill acquisition for future employability and all recommended an element of online practice should be embedded in future course delivery. Whilst limited to a specific sample, key recommendations were identified, including the importance of involving students in course development, recognising the importance of diversifying role‐play practices for skill development and the application of a transitions model to facilitate understanding of the student experience. Though making some progress towards understanding this unique experience, further evaluations conducted with students from different counselling fields and institutions are required to further strengthen the recommendations made. [ABSTRACT FROM AUTHOR] Copyright of Counselling & Psychotherapy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
A Multiobjective Discrete Grey Wolf Optimization Approach for Transactional and QoS-driven Web Services Composition

ABSTRACT Web services facilitate reusability that allows cost-effective development of business applications using web services composition. Due to the proliferation of web services, different service providers are providing similar functionality web services. But these web services can have different values for QoS attributes and transactional properties. Thus, it is difficult to build a transactional and QoS optimal composite web service. Most of the existing works used the scalarization-based method for selecting optimal composite web service. In the scalarization-based method, the service user should have a priori knowledge of its preferences about the nonfunctional requirements of desired solutions. This paper proposes a Multiobjective Discrete Grey Wolf Optimization (MDGWO)-based approach for Transactional and QoS-driven Web Services Composition. The Pareto dominance concept is used to select optimal composite web service. Generational Distance (GD), Inverse Generational Distance (IGD), and Spread measures are used to evaluate the performance of the proposed approach. Experimental results indicate that the proposed approach performs well.
Introduction of Fingerprint Recognition Method for Machinery Faults Diagnosis

This paper presents a novel method to diagnose turbine blade faults by analysing wavelet result based on fingerprint recognition method. The study focuses on applying the fingerprint features extraction method to extract faults information from wavelet displays. Fingerprint recognition method studied in this paper is known as fingerprint bifurcations points. Experimental results show that this method could potentially be used as a features recognition method to identify the different types of machinery faults such as rubbing and rotor unbalance.
AC016745.3 Regulates the Transcription of AR Target Genes by Antagonizing NONO

The androgen receptor (AR) and its related signaling pathways play an important role in the development of prostate cancer (PCa). Long non-coding RNAs (lncRNAs) are involved in the regulation of tumorigenesis and development, but their specific mechanism of action remains unclear. This study examines the function and mechanisms of action of lncRNA AC016745.3 in the development of PCa. It shows that dihydrotestosterone (DHT) results in the AR-dependent suppression of AC016745.3 expression in the LNCaP androgen-sensitive human prostate adenocarcinoma cell line. In addition, overexpression of AC016745.3 inhibits the proliferation and migration of PCa cells, and suppresses the expression of AR target genes. This research also demonstrates that the protein NONO interacts with AR and functions as an AR co-activator, promoting AR transcriptional activity. Furthermore, using RNA immunoprecipitation (RIP)-PCR experiments, the study demonstrates that both NONO and AR can bind AC016745.3. Moreover, cell phenotypic experiments reveal that NONO can promote cellular proliferation and migration, and that AC016745.3 can partially antagonize the pro-oncogenic functions of NONO in PCa cells. In summary, the results indicate that AC016745.3 can bind NONO, suppressing its ability to promote AR-dependent transcriptional activity. Furthermore, DHT-dependent suppression of AC016745.3 expression can enhance NONO’s promotion effect on AR.
Compact Differential Dual-Frequency Antenna Based on Metamaterial

In this paper, a compact differential dual-frequency antenna based on metamaterial is presented. To realize the dual-frequency operation of the left-handed and zeroth-order resonant modes, a ring slot and two diagonal slots are embedded in the radiating patch, and via holes are employed to connect the patch and the ground plane. In order to improve the impedance matching of the antenna, four corners are truncated in the ground plane. The proposed antenna has a compact size of 40 mm × 40 mm, which equals to 0.25 λ1 × 0.25 λ1 (λ1, the guided wavelength at f1). The simulated results show that the proposed antenna can operate at 0.89 and 1.79 GHz bands. Meanwhile, good radiation performances are achieved.
Research and Design of Cross Flow Water Turbines for Small HPP

This paper presents the experience of the Hydroaerodynamics and hydraulic machinery department of the Technical university of Sofia (Bulgaria) in the research and design of cross flow water turbines. The methods and computer programs used for the synthesis of the elements of the flow part of the cross flow turbines are described. Results of numerical and experimental (model and field) studies of turbines of this type are presented. The peculiarities of the elements of the designed turbines are analyzed and specific examples of their used in small hydropower plants in Bulgaria are shown.
Research on live line auto-testing technology for transmission line insulators

insulator is an important part of transmission line, and its maintenance of is of great significance. Duo to The insufficiency of traditional way of insulator detection, this paper puts forward a kind of automatic on-line detection method. The sliding carriage which carries a detection device slides along the guide rail smoothly and precisely, the field data is measured reliably. Field practice shows that this technology can increase efficiency and reduce the labor intensity greatly.
Sensor Fusion for Robust Heartbeat Detection during Driving

Private spaces like apartments and vehicles are not yet fully exploited for health monitoring, which includes continuous measurement of biosignals. This work proposes sensor fusion for robust heartbeat detection in the noisy and dynamic driving environment. We use four sensors: electrocardiography (ECG), ballistocardiography (BCG), photoplethysmography (PPG), and image-based PPG (iPPG). As ground truth, we record a 3-lead ECG with wet electrodes attached to the chest. Twelve healthy volunteers are monitored in rest and during driving, each for 11 min. We propose sensor fusion using convolutional neural networks to detect the sensor combination delivering the most accurate heart rate measurement. For rest, we achieve scores of 95.16% (BCG + iPPG), 96.08% (ECG + iPPG), 96.35% (ECG + BCG), 96.53% (ECG + PPG), 96.58% (PPG + iPPG), and 97.15% (BCG + PPG). In motion, the highest scores are 92.46% (BCG + iPPG, PPG + iPPG, ECG + iPPG), 92.83% (ECG + PPG), 93.03% (BCG + PPG), and 93.08% (ECG + BCG). Fusing all four signals with the best fusion approach results in scores of 97.24% (rest) and 94.38% (motion). We conclude that sensor fusion allows robust heartbeat measurement of car drivers to support continuous and unobtrusive health monitoring for early disease detection.
The Way People Lie in Markets: Detectable vs. Deniable Lies

In a finitely repeated game with asymmetric information, we experimentally study how individuals adapt the nature of their lies when settings allow for reputation building. Although some lies can be detected ex post by the uninformed party, others remain deniable. We find that traditional market mechanisms, such as reputation, generate strong changes in the way people lie and lead to strategies in which individuals can maintain plausible deniability; people simply hide their lies better by substituting deniable lies for detectable lies. Our results highlight the limitations of reputation to root out fraud when a deniable lie strategy is available. This paper was accepted by Yan Chen, behavioral economics and decision analysis.
Generation mechanisms of bowel sounds by simultaneous measurements of X-ray fluoroscopy and bowel sounds

In clinical practice, bowel sounds are often used to assess bowel motility. However, the diagnosis differs depending on the literature because diagnoses have been based on empirically established criteria. To establish diagnostic criteria, researching the mechanism of bowel-sound occurrence is necessary. In this study, based on simultaneously measured X-ray fluoroscopy and bowel sounds, correlation and Granger causality among bowel movement, luminal content movement, and abdominal sound were estimated. The results supported our hypothesis that the bowel moves luminal contents and luminal contents generate abdominal sounds.
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection

Recent self-propagating malware (SPM) campaigns compromised hundred of thousands of victim machines on the Internet. It is challenging to detect these attacks in their early stages, as adversaries utilize common network services, use novel techniques, and can evade existing detection mechanisms. We propose PorTFILER (PORT-Level Network Traffic ProFILER), a new machine learning system applied to network traffic for detecting SPM attacks. PORTFILER extracts port-level features from the Zeek connection logs collected at a border of a monitored network, applies anomaly detection techniques to identify suspicious events, and ranks the alerts across ports for investigation by the Security Operations Center (SOC). We propose a novel ensemble methodology for aggregating individual models in PORTFILER that increases resilience against several evasion strategies compared to standard ML baselines. We extensively evaluate PorTFILER on traffic collected from two university networks, and show that it can detect SPM attacks with different patterns, such as WannaCry and Mirai, and performs well under evasion. Ranking across ports achieves precision over 0.94 and false positive rates below $8 \times 10^{-4}$ in the top 100 highly ranked alerts. When deployed on the university networks, PorTFILER detected anomalous SPM-like activity on one of the campus networks, confirmed by the university SOC as malicious. PortFILER also detected a Mirai attack recreated on the two university networks with higher precision and recall than deep-learning based autoencoder methods.
Calibrated Ling Sounds Test for Cochlear Implant fitting in children

The Implanted children audiometric evaluation inaccuracies may lead to an extended period of the time to achieve proper cochlear implant (CI) electric stimulation. In this work we hypothesized that the relationship between implanted patient hearing thresholds estimation based on the Electrical Cochlear Response (ECR) and detection thresholds to Ling Sounds intensity calibrated according to higher energy spectral component allow electrical current stimulation adjustment of intracochlear electrodes. ECR is an objective test which is performed while patient is asleep and using the CI in everyday operation mode. Stimulus are variable intensity pip tones whose frequency is coincident with the central frequency of the band frequencies in which incoming sound is divided. The ECR Hearing Threshold is determinate by initial ECR detection and is defined as the minimum intensity level which auditory nerve portion involved with test electrode responds to electric stimulation hence producing an auditive experience to subject. Correlation observed between ECR Hearing Thresholds and Calibrated Ling Sounds detection thresholds is high enough (r2= 0.99) for electrodes electric current adjustment based on patient detection thresholds obtained in a Calibrated Ling Sound Test.
TCRM_A_305623 423..431

1Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 2Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, People’s Republic of China; 3Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, People’s Republic of China; 4Cardiovascular Disease Research Center of Hunan Province, Changsha, Hunan, 410011, People’s Republic of China; 5Department of Cardiovascular and Internal Medicine Niger, Niamey Amirou Boubacar Diallo National Hospital, Abdou Moumouni University, Niamey, Niger Background: Atypical chest pain in some outpatients could derive from mental disorders. It is necessary for them to have a preliminary emotional assessment in the outpatient department of Cardiology before psychiatric outpatient visits. Methods: This study included 122 Chinese outpatients with atypical chest pain in the department of Cardiology. They accepted routine examinations, including treadmill test, and were judged by the three-question method as highly likely to have emotional disorders. Then, a standard questionnaire package containing the Chinese version of the seven-item scale for General Anxiety Disorder (GAD-7), Self-rating Anxiety Scale (SAS), the nine-item Patient Health Questionnaire (PHQ-9) and Self-rating Depression Scale (SDS) was administered to evaluate anxiety and depression. Results: The percentages of anxiety evaluated by GAD-7 and SAS were 62.3% and 26.2%, respectively. Analogously, the assessment by PHQ-9 showed a significantly higher percentage of depression than that by SDS (61.5% vs 29.5%) (P < 0.05). Kappa analysis showed that the consistency between GAD-7 and SAS, or that between PHQ-9 and SDS was not very good. About 73% outpatients suffered from emotional disorders, presenting as anxiety/ depression evaluated by GAD-7 and PHQ-9. Furthermore, sleep disorders accounted for more than 80% of patients with mental disorders. Finally, the suicidal tendency of depression patients was about 17% that should not be ignored. Conclusion: Compared with SAS and SDS, GAD-7 and PHQ-9 detected more participants with emotional disorders in the Chinese outpatients with atypical chest pain, indicating that GAD-7 and PHQ-9 could be briefly well-validated tools to screen emotional disorders in the outpatient department of Cardiology before psychiatric visits.
Effects of Orifice Size and Impinging Angle on the Characteristics of a Like-Doublet Impinging-Jet

Observations and measurements on the spray pattern and size of the like-doublet impinging jets have been conducted in this work by employing photographic imaging technology and laser diffraction particle sizing device. The injector diameter is made skillfully to the size as small as 0.3 mm to investigate its possible improvement in impinging atomization. Purified tap water is used as test liquid, and velocity of impinging jets is up to approximately 50 m/s. Results show that four spray patterns found in this work are somewhat different from those of Heidmann 121. Velocity distribution of the shedding drops is also presented as bell shape, and a new defined shedding angle is shown that drops are shed out tangentially from the sheet rim periphery. Shedding angle increases linearly with increasing position angle with a sharp change near symmetric axis which reveals that shed drops may penetrate through the symmetric axis from one side into the other. The mean droplet size monotonously decreases with jet velocity for all angles of impingement, and an asymptotic mean drop size is approached in high jets velocity. Comparison with those data observed by Dombrowski and Hooper 151 shows that an improvement of atomization which is attributed to the orifice size in this work is smaller than that used by previous authors.
Analysis of Synchronization Requirements for Integrated Access Backhaul in 5G Networks

Integrated Access Backhaul (IAB) is an alternative to decrease the cost of 5G deployments. Nevertheless, the IAB imposes the carrier frequency and time synchronization to be implemented over-the-air (OTA), which have strict requirements for scenarios with multiple-input multiple-output (MIMO), carrier aggregation (CA) and Time Division Duplex (TDD). This work analyzes time and frequency synchronization in an IAB architecture using algorithms that estimate only timing and carrier frequency oﬀset (CFO). Simulation results show that the CFO and TDD time oﬀset (TO) requirements are attended in all SNR cases. However, for CA and MIMO, the requirements are met only when SNR ≥ 8 dB.
Frame-Skipping and Interpolation Algorithm for Efficient Data Processing

When processing image and video data for machine learning algorithms, a major obstacle that many research teams face is having to manually label the collected data before training can begin. This process can be incredibly slow, taking away valuable time and resources away from other necessary tasks, such as developing and tuning the machine learning algorithm or collecting a larger, more diverse set of data for testing. This, in turn, can lead to poor model performance during training and testing. In addition, much of this effort is often spent on labeling consecutive, nearly identical frames, which is redundant and adds little new information for the model to work with. The goal of this project is to expedite the labeling process by using key features within a video to detect and extract unique, high-information frames for manual labelling and propagating those labels to the rest of the dataset through interpolation. In this paper, the implementation, testing protocol, and observed results for this frame-skipping and interpolation algorithm are described, and further improvements and extensions are discussed.
Study on wideband voltage controlled oscillator and high efficiency power amplifier ICs for wireless communications

As the growth in the wireless communication systems, the need of the high speed, high transmission data rate becomes critical issue to satisfy the wireless communication application for daily life. And the necessary of high integration of the baseband circuit and radio frequency analog transceiver in one chip makes the CMOS the most important process for Integrated Circuit (IC) design. However, it is a challenge work to design a high quality high speed Radio Frequency Integrated Circuit (RFIC) by CMOS process because of its low quality factor on-chip inductor, large parasitic capacitance and large substrate noise. Recent years, many researches were carried out and many techniques were reported to deal with these defects in design high performance RFIC in CMOS process. Among all of the components constituting the RFIC, Power Amplifier (PA) and Voltage Controlled Oscillator (VCO) are the most critical parts and it is quite significant to promote their performance. VCO is the heart of the frequency synthesizer, the performance of the VCO has large effect on phase lock loop (PLL) and the quality of transceiver. For system with high dynamic range requirements, the VCO must achieve a corresponding spectral purity. Thus, the VCO should have a low harmonic frequency, especially, a low phase noise, which has important effect on Signal to Noise Ratio (SNR). VCO in a high speed communication system is far more challenge because of the requirement of wideband oscillation frequency. In this thesis, an ultra-wideband VCO is designed. A novel tunable switching inductor is proposed to enlarge the oscillation frequency, and switching AMOS varactor bank is used to decrease the VCO gain and improve the phase noise. The chip was fabricated in 0.13 μm CMOS process and the experimental results demonstrate a wideband of 92.6% from 1.20 GHz to 3.27 GHz with a phase noise of -120 dBc/Hz at 1 MHz offset from the 3.1 GHz carrier is obtained. PA is the key component in the transceiver and it consumes above 60% dc power
Treatment and Drug Resistance to Helicobacter Pylori: A Brief Review

Vinícius Lima de Souza Gonçalves1, Jonathan Santos Apolonio2, Ronaldo Teixeira da Silva Júnior2, Maria Luísa Cordeiro Santos2, Beatriz Rocha Cuzzuol2, Marcel Silva Luz2, Fabian Fellipe Bueno Lemos2, Hanna Santos Marques1, Camilo Santana Silva2, Mariana Miranda Sampaio2, Bruna Teixeira da Costa2, Fabrício Freire de Melo2* 1Universidade Estadual do Sudoeste da Bahia, Vitória da Conquista 45083-900, Bahia, Brazil 2Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil *Correspondence should be addressed to Fabrício Freire de Melo; freiremelo@yahoo.com. br