Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of FBG Strain Gauge Used for High Temperature Strain Monitoring

Fiber Bragg Grating (FBG) sensing technology is widely used in detection of temperature, strain and etc. Now the application of FBG sensor is limited below 200°C. Application over 200°C is still an engineering challenge since no suitable FBG strain gauge. In this paper, FBG strain gauge structure which consists of three FBGs is designed and fabricated based on the theoretical strain and stress analysis. This strain gauge can be used for the real-time high temperature strain monitoring situation. The elastic high-temperature alloy (10MoWVNb) is chosen as the substrate. The three FBGs with a similar performance are fabricated on the substrate by high-temperature glue. Among the three FBGs, FBG1 is used for the horizontal strain monitoring, FBG2 is used for the longitudinal strain monitoring, and FGB3 is used for high temperature cross-sensitive compensation. The fabricated high temperature FBG gauge is demonstrated suitable for high temperature strain monitoring by experiment.
Sugar Beet Damage Detection during Harvesting Using Different Convolutional Neural Network Models

Mechanical damages of sugar beet during harvesting affects the quality of the final products and sugar yield. The mechanical damage of sugar beet is assessed randomly by operators of harvesters and can depend on the subjective opinion and experience of the operator due to the complexity of the harvester machines. Thus, the main aim of this study was to determine whether a digital two-dimensional imaging system coupled with convolutional neural network (CNN) techniques could be utilized to detect visible mechanical damage in sugar beet during harvesting in a harvester machine. In this research, various detector models based on the CNN, including You Only Look Once (YOLO) v4, region-based fully convolutional network (R-FCN) and faster regions with convolutional neural network features (Faster R-CNN) were developed. Sugar beet image data during harvesting from a harvester in different farming conditions were used for training and validation of the proposed models. The experimental results showed that the YOLO v4 CSPDarknet53 method was able to detect damage in sugar beet with better performance (recall, precision and F1-score of about 92, 94 and 93%, respectively) and higher speed (around 29 frames per second) compared to the other developed CNNs. By means of a CNN-based vision system, it was possible to automatically detect sugar beet damage within the sugar beet harvester machine.
Determination of the relative motion between parafoil canopy and load using advanced video-image processing techniques

To determine the aerodynamic characteristics of a parafoil it is necessary to measure the dynamic behavior of the canopy itself. Unfortunately, sensors and cables installed on parachute canopies are subject to very unfriendly conditions during the deployment and filling period. Therefore, the Institute of Flight Mechanics of DLR is focusing on another approach: Here, all sensors are installed in the load beneath the parafoil. In addition to the motion of the load, the relative motion between the load and the canopy is determined using a video camera and advanced image processing techniques. The existing ALEX vehicle of the Institute, which was presented at the 14th AIAA ADS conference [l], will be used for validation tests. Inside the capsule, a video camera will be mounted looking upwards into the direction of the parafoil canopy. During flight, the movement of the canopy will be filmed and synchronized with other sensor data, which are collected in the on-board computer. After landing, the video will be processed off-line to generate time series of the relative attitude of the canopy with respect to the capsule. The paper describes the concept, gives details about the realization and presents results of the qualification tests, which are achieved so far. *Research Scientist, Mathematical Methods and Data Handling Branch ’ Research Scientist, Mathematical Methods and Data Handling Branch, Member DGLR Copyright
The Establishment of Agricultural Engineering Information System for Farmer Cultivation

By means of information to improve the quality of farmers, it is not only an important part of constructing the modern agriculture, but also the basic premise and guarantee to cultivate the new occupation farmers and to construct new countryside. In this paper, we analysis the significance on agricultural information to promote the occupation farmers cultivation engineering, and we use SWOT analysis method, analysis the construction of current agricultural informations strengths, weaknesses, opportunities and threatens, putting forward the suggestion that make the agricultural information as the carrier, and develop the construction of occupation farmers, it is namely promoting agricultural information resources integrating and sharing, innovating rural grass-roots information service mode, constructing rural education information service platform which is regard knowledge push as construction of core and basing on cloud computing environment of agricultural information education system.
Crowd Abnormal Behavior Recognition in Intelligent Surveillance System

Crowd abnormal behavior recognition is essential for intelligent visual surveillance in public places to ensure the safety of the public. This is a challenging work because crowd behaviors are complex which are influenced by various factors. This paper divided these factors into three categories: physical factors, social factors and psychological factors. Then an overview about crowd behavior modeling approaches was given. After that, the paper described and analyzed some influential existing algorithms in crowd abnormal behavior recognition from the view point of behavioral factors they used. Finally, the paper discussed the future research directions in this area and some research proposals were given.
Group-Treatment for Dealing with the Work-Family Conflict for Healthcare Professionals

Healthcare professionals’ exposure to work-family conflict negatively affects the health and well-being of the whole family and organizational outcomes. Specified workplace interventions are lacking. Therefore, the aim of the study was to evaluate the feasibility of a two-day group-treatment specifically designed for the needs of healthcare professionals with family responsibilities concerning participation, satisfaction with the intervention and family- and individual-related outcome variables. 24 mostly female (85.7%) participants of a community hospital in southern Germany attended the treatment. Data were collected at baseline (T0), directly after the treatment (T1) and two months later (T2). A two-factor analysis of variance with repeated measures showed a statistically significant time x group effect for self-efficacy (F = 5.29, p = 0.011). Contrasts displayed substantial pre-post (T1-T0, T2-T0) increases of self-efficacy in the intervention group as compared with the control group. Non-parametric Mann-Whitney-U tests are in line with these findings. The results indicate that the group-treatment adapted to the needs of healthcare professionals has the potential to boost self-efficacy among healthcare professionals and that participants were predominantly satisfied. Perspectives for future research and practical implications are discussed in the light of the manifest lack of healthcare professionals.
Fiber optic three-component seismometer

Three-component seismometer is widely used in oil or gas exploration, earth quake monitoring. In this paper, an allmetal 3-component optical fiber seismometer is proposed and experimentally demonstrated. The theoretical analysis is given based on electro-mechanical theory. Calibration results show that axis sensitivity is 41 dB (re: 0 dB=1 rad/g) with a fluctuation ±2 dB in frequency bandwidth of 5~400 Hz. A transverse sensitivity of about -40 dB is achieved. The fluctuation of the acceleration sensitivity for the three accelerometers in the seismometer is within ±2.5 dB. The minimum phase demodulation detection accuracy of the phase-generated carrier (PGC) is 10-5 rad/√Hz, and the minimum detectable acceleration is calculated to be 90 ng/√Hz. With an all-metal structure, the proposed seismometer is expected to improve reliability of long-term use in harsh environment such as ocean bottom seismic wave monitoring in oil or gas exploration.
ANALISIS USAHA INDUSTRI BENANG SUTERA DI PENGUSAHAAN SUTERA ALAM (PSA) REGALOHKABUPATEN PATI

Pengusahaan Sutera Alam (PSA) Regaloh is any one of where place do spinning site which lies Pati regency and it is under management Perum Perhutani Unit I of Central Java. PSA Regaloh is constitutes a firm that involves surrounding community to become business partner in developing activity of caterpilar silk. The annual changing of production amount and the price of silk yarn will influence amount of the cost, revenue, benefit, profitability, risk, and efficiency in PSA Regaloh. It motivates the researcher to know deeply concerning with the business silk yarn industry in PSA Regaloh Pati Regency. The research aims to know the amount of the cost, revenue, benefit, profitability, risk, and efficiency silk yarn industry in PSA Regaloh Pati Regency. The basic method of the research is descriptive analisys method. The area of research is chosen purposively is Pengusahaan Sutera Alam (PSA) Regaloh Pati with the reason is that PSA Regaloh is the only site that do commercial activity of silk yarn in Pati Regency. The data used in this research are primary and secondary data. The data are collected through an observation, direct interview, and recording. The result of the research shows that the average total cost yarn silk industri in PSA Regaloh is Rp 66.833. 914,66 in every month with fixed cost Rp 11.012. 689,57 and variable cost Rp 55.821. 225,08. The average of total revenue every month is Rp 54.536. 216,67, so that PSA Regaloh experienced lost of is Rp 12.297. 697,99. The profitability value is ­18,40 % it means that the commercial activity which is done, is not profit. The variable coefficient value is 2,69, while the amount of low border of the profit is minus Rp 52.709. 576,19. It can be considered that silk yarn commercial activity which is run have high risk. The efficiency is 0,82, in means that yarn silk industry bussiness in PSA Regaloh is not efficient
Effects of Anthropic and Ambient Vibrations on Archaeological Sites: The Case of the Circus Maximus in Rome

The vibration effects on the Torre della Moletta and the ruins of the Circus Maximus in Rome are analyzed in the framework of a preservation effort of this archaeological area. Thanks to its exceptional size, the Circus hosts many social events with large audience (pop-music, opera concerts, sport celebrations, etc.) every year, thus taking the structures under high anthropic and environmental stress. Recordings were completed before, during, and after the concert of a famous band, on 7 September 2019. Data were analyzed, both in time and frequency domains. The experimental dynamic recordings were coupled with a surface waves test and single-station ambient vibration recordings, which were useful for the geotechnical characterization of the soil. The results pointed out the differences in amplitudes but also in terms of frequency content of the recorded velocities during the concert with respect to before and after it. The maximum velocities recorded at various locations were almost similar to the limit values suggested by codes. The dynamic behavior of the ground and the structures is influenced by the presence of buried structures.
Initial Mechanism and Kinetics of Diesel Incomplete Combustion: ReaxFF Molecular Dynamics Based on a Multicomponent Fuel Model

This work attempts to investigate the incomplete combustion of a multicomponent fuel model using ReaxFF-MD simulations. The main products of incomplete combustion simulation included H2, CO, H2O, and CO2. Temperatures produced different effects on different products. At lower temperatures, a larger increasing rate of the number of products was found at a later stage, whereas the increasing rate of the number of products would be diminished over time at higher temperatures. The pressure-dependent simulations indicated that the high pressure could promote the combustion process, especially the production of H2. The analysis of mechanisms and pathways of the combustion process indicated that the C–C bond dissociation dominated the early stage of the combustion mechanism of paraffin, whereas isomerization, H-abstraction, and C–C bond formation were observed in other systems. Ethylene (C2H4) was the product of β-scission of paraffin and naphthene, whereas ethyne (C2H2) was the product of β-scission of aromatic.
Fitness Fights Fires: Exploring the Relationship between Physical Fitness and Firefighter Ability

Background: Regular exercise in firefighters may be effective in preventing or attenuating ill health (e.g., hypertension, diabetes, and obesity), as well as improving their firefighting ability. The purpose of this study was to investigate the relationship between physical fitness and firefighting ability. Methods: Male firefighter recruits’ (n = 89; age = 27.1 ± 4.2 yrs) physical fitness and firefighting ability were assessed at Week 1 and Week 7 during a basic firefighting training academy. Physical fitness was assessed via 1.5 mile run time, sit-up and push-up repetitions, the Young Men’s Christian Association (YMCA) bench press test, vertical jump height, and sit-and-reach flexibility, while firefighting ability was assessed via completion time on a firefighting skills test. Results: Fitness predicted significant variance in firefighting ability at Week 1 (R2 = 0.46; p < 0.01) and Week 7 (R2 = 0.46; p < 0.01), after accounting for age and body mass index. Cardiovascular endurance accounted for 22.4% (FΔ (1, 85) = 25.75) and 39.3% (FΔ (1, 85) = 55.53) while muscular endurance accounted for an additional 19.0% (FΔ (3, 82) = 10.34) and 6.3% (FΔ (3, 82) = 3.2) unique variance in firefighting ability at Week 1 and Week 7, respectively. Conclusions: Given the strong association between fitness and firefighting performance, municipal departments may want to focus on increasing fitness levels among firefighters.
A compact CPW‐FED wideband metamaterial antenna with EBG loading

Two wideband CPW‐fed metamaterial antenna structures based on CRLH resonant approach are proposed and developed in this article. Antenna‐1 is basically an asymmetric CPW‐fed antenna, comprises of meandered line inductor, which is connected between patch and one of the CPW ground plane. Antenna‐2 is modified form of Antenna‐1 where conventional uniplanar electromagnetic bandgap (EBG) structures have been incorporated to enhance bandwidth of the antenna. It has been observed that Antenna‐2 is operating at 4.84–10.64 GHz equivalent to 74.9% measured fractional bandwidth with respect to Antenna‐1 with operating frequency 5.03–8.39 GHz equivalent to 50.1% fractional bandwidth. It is demonstrated that surface waves are suppressed effectively in the extended band. The radiation patterns of the Antenna‐2 are not influenced significantly with the incorporation of EBG and offers consistent radiation patterns throughout the operational bandwidth. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2632–2636, 2015
Comparing the trustworthiness of signal-to-noise ratio and peak signal-to-noise ratio in processing noisy partial discharge signals

In partial discharge (PD) analyses, there is a need to compare the noise level of measured signals in different conditions and/or after applying certain signal processing algorithms (e.g. noise reduction). Moreover, in PD analyses through modelling approaches, whenever noisy signals should be constructed by adding noise with a desired level to the simulated PD signal and/or where de-noising process is employed, there is a need to evaluate the strength of noise. In all these cases, signal-to-noise ratio (SNR) is already used as an indicator of noise level, whereas it is shown that SNR can be deceptive and misleading. Instead, this study recommends employing the proposed peak SNR which is more robust than SNR. The results can be extended to the analysis of any non-periodic transient signal as well.
Examination the antioxidant potentials and antidiabetic properties of phenolic extracts of some Iranian honeys

Introduction: In most ancient cultures, honey has been used for both nutritional and medical purposes. Objectives: In this research, phenolic extracts of four Iranian honeys were evaluated to determine the antioxidant potentials using DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging, nitric oxide (NO) radical scavenging and reducing power by ferric reducing activity of plasma (FRAP) method. Additionally, anti-diabetic properties of honey and phenolic extracts were evaluated by determination of α-amylase and α-glucosidase inhibition. Patients and Methods: Besides, reducing potential was evaluated by ferric-reducing antioxidant power method. Moreover, determination of phenolic and flavonoid contents was performed. Moreover, inhibition of α-amylase and α-glucosidase of honey and phenolic extracts were evaluated. Results: With considering to antioxidant potentials, Gavan (Astragalus) sample showed the greatest phenolic (3817±1.52 mg GAE/100 g), flavonoid contents (3.1±0.005 mg QE/100 g), and DPPH radical scavenging (IC50 = 2±0.003 mg/mL). Bahareh honey had the highest NO radical scavenging (IC50=0.0403±0.0009 mg/mL) and Meymand honey possessed the highest reducing potential by FRAP method (IC50=0.0018±0.000003 mg/mL). The maximum inhibition of α-glucosidase was shown in Meymand honey extract (46±0.1%). After sugar isolation, Zataria honey had the highest inhibition of α-glucosidase (54±0.6%) and the mode of α-amylase inhibition was noncompetitive by this honey. Whole extract (23±0.1%) and phenolic extract of Gavan honey presented the maximum inhibition of α-amylase (31.2±0.1%). Conclusion: Honey samples showed antioxidant potentials and anti-diabetic properties by retardation of α-amylase and α-glucosidase.
New Data Augmentation-Driven RUL Prognosis Approach for Cumulative Damage Model Using Incomplete Observations

Cumulative damage processes for discrete degrading systems caused by stochastic shocks have received increasing attention. However, the degradation data is often subject to incomplete observation or censoring due to imperfect monitoring instruments or inspection strategies. In such situations, the arrival time of stochastic shocks cannot be accurately recorded. This makes a challenging task for parameter estimation and remaining useful lifetime (RUL) prognosis based on the cumulative damage process. Motivated by this fact, this article proposed a new Bayesian data augmentation approach to overcome the obstacles caused by incomplete observation. First, the proposal distribution for the occurrence number of shocks in the cumulative damage process subject to interval censoring is derived. Second, an effective data augmentation for the missing shock time is proposed by integrating rejection sampling and the order statistics technique. On this basis, multiple imputation is extended to discrete non-Gaussian stochastic processes subject to interval censoring. Finally, an RUL prognosis method of a system subject to the cumulative damage process is derived based on the Monte Carlo method. And a real case study on the head wear problem is applied to illustrate the superiority of the proposed approach, and the results show that the proposed approach can improve the estimation accuracy of RUL compared with the existing method.
Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry

Background Tick-borne encephalitis virus (TBEV), the most prevalent arbovirus, causes potentially fatal encephalitis in humans. Prevalent in northeast China, tick-borne encephalitis (TBE) poses a major threat to public health, local economies and tourism. There are no biomarkers for TBE, which is classified serologically and clinically. Due to sample heterogeneity of samples and different detection platforms, obtaining stable markers is a great challenge for metabolomics. Accurate annotation is vital for data mining and interpretation. Objective To identify reliable biomarkers of TBEV infection. Methods An untargeted metabolomics analysis of serum from 30 TBE patients and 30 healthy controls was carried out. Liquid chromatography–mass spectrometry (LC-MS)-based metabolomics methods were used to characterize the subjects’ serum metabolic profiles and to screen and validate TBE biomarkers. Results A total of 3370 molecular features were extracted from each sample, and the peak intensity of each feature was obtained. Pattern analysis, principal component analysis, partial least squares discriminant analysis were used to screen for potential metabolites. Bilirubin, LysoPC (18:1[9Z]), palmitic acid, and CL (8:0/8:0/8:0/8:0) were significantly different. Pathway enrichment analysis showed that these metabolites were in the fatty acid biosynthesis and glycerophospholipid metabolism pathways. The phospholipid family had a significant difference in both the difference ratio and the abundance. Conclusion Phospholipids may be used to distinguish TBEV patients from healthy controls. TBEV infection affects the normal metabolic activity of host cells, providing insight into the pathogenesis of TBE.
Tavistock Centenary: the Tavistock Autism service over four decades

An event held in December 2020 explored the rich clinical work and innovative thinking around Autism Spectrum Condition at the Tavistock over the past four decades. Consultant Child and Adolescent Psychotherapists Sue Reid and Anne Alvarez describe their early groundbreaking work within the Tavistock Autism Team and Workshop. This work yielded the fascinating clinical observations that there were some children with the condition who made significant gains in therapy, leading to major developments in psychoanalytic techniques for this group. Since then, there has been a continuing influence of psychoanalytical, systemic perspectives on the Tavistock approach to Autism. It is an approach which at the same time is firmly rooted in the research around Autism’s neurodevelopmental basis. Nechama Polak, Clinical Psychologist, provides an account of how the current work of the team has increasingly focused on supporting young adults with the condition, and their parents, whilst Myooran Canagaratnam, Consultant Psychiatrist, describes the Tavistock approach to diagnostic assessment.
Design and Control of a Battery Charger/Discharger Based on the Flyback Topology

Devices connected to microgrids require safe conditions during their connection, disconnection and operation. The required safety is achieved through the design and control of the converters that interface elements with the microgrid. Therefore, the design of both power and control stages of a battery charger/discharger based on a flyback is proposed in this paper. First, the structure of a battery charger/discharger is proposed, including the battery, the flyback, the DC bus, and the control scheme. Then, three models to represent the battery charger/discharger are developed in this work; a switched model, an averaged model, and a steady-state model, which are used to obtain the static and dynamic behavior of the system, and also to obtain the design equations. Based on those models, a sliding-mode controller is designed, which includes the adaptive calculation of one parameter. Subsequently, a procedure to select the flyback HFT, the output capacitor, and the Kv parameter based on operation requirements of the battery charger/discharger is presented in detail. Five tests developed in PSIM demonstrate the global stability of the system, the correct design of the circuit and controller parameters, the satisfactory regulation of the bus voltage, and the correct operation of the system for charge, discharge and stand-by conditions. Furthermore, a contrast with a classical PI structure confirms the performance of the proposed sliding-mode controller.