Miracle-dz/UniFAR-FTUs huggingface dataset:
Field Test Study on Deformation Monitoring of Antifloating Anchor Using Optic Fiber Sensor

The antifloating anchors have been widely used in the antifloating problem of underground engineering recently. Due to the complexity of the anchor force in the geotechnical material and the limitations of traditional monitoring methods, it is impossible to grasp the deformation characteristics of the anchor comprehensively. The pullout test of the antifloating anchor on-site is carried out in this paper based on the housing construction project. The Optical Frequency Domain Reflectometry (OFDR) technology is used, the strain distributions are obtained, and the distribution law of axial force is analyzed. The test results show that the strain of the antifloating anchor gradually decreases when anchoring depth increases and eventually tends to zero. The anchoring section is divided into main stressed section and unstressed section. The results show that the OFDR technology can be used to effectively monitor the antifloating anchor in the pullout test; it will help to grasp the deformation of antifloating anchor.
Hosted Cuckoo Optimization Algorithm with Stacked Autoencoder-Enabled Sarcasm Detection in Online Social Networks

Sarcasm detection has received considerable interest in online social media networks due to the dramatic expansion in Internet usage. Sarcasm is a linguistic expression of dislikes or negative emotions by using overstated language constructs. Recently, detecting sarcastic posts on social networking platforms has gained popularity, especially since sarcastic comments in the form of tweets typically involve positive words that describe undesirable or negative characteristics. Simultaneously, the emergence of machine learning (ML) algorithms has made it easier to design efficacious sarcasm detection techniques. This study introduces a new Hosted Cuckoo Optimization Algorithm with Stacked Autoencoder-Enabled Sarcasm Detection and Classification (HCOA-SACDC) model. The presented HCOA-SACDC model predominantly focuses on the detection and classification of sarcasm in the OSN environment. To achieve this, the HCOA-SACDC model pre-processes input data to make them compatible for further processing. Furthermore, the term frequency–inverse document frequency (TF-IDF) model is employed for the useful extraction of features. Moreover, the stacked autoencoder (SAE) model is utilized for the recognition and categorization of sarcasm. Since the parameters related to the SAE model considerably affect the overall classification performance, the HCO algorithm is exploited to fine-tune the parameters involved in the SAE, showing the novelty of the work. A comprehensive experimental analysis of a benchmark dataset is performed to highlight the superior outcomes of the HCOA-SACDC model. The simulation results indicate that the HCOA-SACDC model accomplished enhanced performance over other techniques.
24-hour central blood pressure and immune system activation in adolescents with primary hypertension – a preliminary study

Introduction Adult and pediatric data suggest a positive relationship between the extent of subclinical inflammation, blood pressure, and hypertension-mediated organ damage (HMOD) in primary hypertension (PH). 24-hour (24-h) ambulatory blood pressure (ABPM) and central blood pressure (CBP) are strong predictors of HMOD. Our study aimed to analyze the relationship between 24-h central ABPM, subclinical inflammation, and clinical data in adolescents with PH. Material and methods In 28 untreated adolescents with PH (14.50 ±2.27 years) and 25 healthy peers (14.76 ±2.83 years), we analyzed 24-h peripheral and central ABPM, markers of subclinical inflammation (neutrophil-to-lymphocyte ratio – NLR, platelet-to-lymphocyte ratio – PLR, mean platelet volume – MPV), and clinical and biochemical data. Results Patients with PH had higher 24-h peripheral and central blood pressure than healthy peers. In all 53 patients, we found significant (p < 0.05) positive correlations between NLR, PLR and 24-h central systolic, diastolic, and mean blood pressure (24-h cSBP, 24-h cDBP, 24-h cMAP), between 24-h central augmentation index corrected for heart rate 75 (24-h cAIx75HR) and platelet count. In 28 patients with PH, 24-h cAIx75HR correlated with low-density lipoprotein (LDL) cholesterol (R = 0.442), and ambulatory arterial stiffness index with body mass index (BMI) (R = 0.487), uric acid (R = 0.430), and high-density lipoprotein (HDL) cholesterol (R = –0.428). Conclusions Increased central 24-h blood pressure may be associated with immune system activation in adolescents with primary hypertension. In adolescents with primary hypertension, dyslipidemia and hyperuricemia are risk factors for increased arterial stiffness. Further studies on central and peripheral blood pressure in terms of their relationship with inflammation in these patients are needed.
Screening Efficiency Analysis of Vibrosieves with the Circular Vibrations

Abstract The analysis of influence of factors that depend on construction characteristics of the vibrosieves with circular vibrations on screening efficiency is presented in this paper. The dependence of the screening efficiency on the aperture size, length and inclination of the screen, as well as on vibration amplitude, is considered. Based on obtained results, one can see that the screening efficiency increases with vibration amplitude and the screen length increase. Further, increases of the screen inclination and aperture size are causing an initial increase of the screening efficiency, which is later decreasing.
A 25-GS/s 6-bit time-interleaved SAR ADC with design-for-test memory in 40-nm low-leakage CMOS

ABSTRACT This paper presents a 25-GS/s 6-bit time-interleaved (TI) SAR ADC in a 40-nm CMOS low-leakage (LL) process. The prototype utilizes 4 × 12 hierarchical sampling architecture to reduce the complexity of track-and-hold circuits and the timing skew calibration. The single-channel SAR ADC adopts asynchronous processing with two alternate comparators. A partially active reference voltage buffer is designed to reduce the power consumption. The method based on sinusoidal signal approximation is employed to calibrate timing skew errors. To characterize the ultra-high-speed ADC, an on-chip design-for-test memory is designed. At 25 GS/s, the ADC achieves the SNDR of 32.18 dB for low input frequency and 27.28 dB for Nyquist frequency. The chip consumes 800 mW and occupies 1.3 × 2.6 mm2, including the TI ADC core and memory.
Causes of Sow Mortality and Risks to Post-Mortem Findings in a Brazilian Intensive Swine Production System

Simple Summary Genetic selection increased sow productivity over the last decades, but also increased sow mortality. The impact of mortality includes financial losses, affects labor morale, and raises ethical and animal-welfare concerns. Despite the impact of mortality, the literature is still scarce regarding risk factors for post-mortem findings and bacterial agents involved. Therefore, the present study was conducted to investigate the cause and risk factors related to post-mortem findings in sow death by performing post-mortem examinations, bacteriological investigations, and evaluations of individual sow records. Spontaneous death occurred mainly in the peripartum period. Deaths in the peripartum period were associated with heart failures, genitourinary disorders, and prolapses. Euthanized sows had more locomotor disorders. Sow mortality had a multifactorial etiology including infectious and non-infectious agents; in 75% of the deaths, lesions affecting more than one system were observed. Infections were polymicrobial. The high index of secondary lesions such as gastric ulcers, cystitis, locomotor disorders, and lung pleurisy raise concerns about sow welfare. This study can be used to identify females with a higher risk of injuries and to guide management practices to reduce sow death and increase sow welfare in breeding herds. Abstract The present study was conducted to investigate the risk factors for post-mortem findings and causes of sow mortality. A post-mortem examination and microbiological investigation were conducted on 123 sows from a breeding herd with 15,000 dams. The mortality of spontaneous death in sows occurred mostly in the peripartum period (53%; p < 0.05). The spontaneous deaths were associated with heart failures, hemorrhagic and perforating gastric ulcers, and liver torsion, while in the euthanized sows, the post-mortem findings were associated with locomotor disorders. A higher body condition score (BCS ≥ 3.5) increased (p < 0.05) heart failure on the post-mortem examination. The excessive use of manual obstetric interventions increased sow deaths resulting from cervix/uterus ruptures and increased the odds of death (p < 0.05) due to metritis. Sow mortality had a multifactorial etiology. Infections were polymicrobial. The main microbial agents identified from a septic lesion in locomotor, genitourinary, and respiratory systems were Trueperella pyogenes, Escherichia coli, and Actinobacillus pleuropneumoniae, respectively. In conclusion, sow mortality involved multiple risk factors and several bacterial agents. These results indicate that better management practices can reduce sow mortality in swine production and increase sow welfare.
Service Location Optimization Model for Improving Rural Emergency Medical Services

Approximately 35,000 fatalities are attributed to accidents on U.S. highways each year and more than half of them occurred in rural areas. With such a high percentage of fatalities, rural areas are in critical need of timely and reliable Emergency Medical Services (EMS). EMS provide important prehospital care to victims before they are transferred to a hospital. After an accident occurs, the time it takes for victims to receive care from EMS is crucial to their survival. Compared with urban EMS, rural EMS face multiple challenges. One of them is how to properly site EMS stations to provide cost-effective services in rural areas. The goals of this paper include analyzing the spatial patterns of EMS station and incident locations, and optimizing rural EMS station locations. The data were collected from South Dakota, a rural state. This dataset was used to perform spatial analysis and to develop and evaluate an EMS location optimization model. The location optimization model aims to maximize the rural EMS coverage while taking service equity into consideration. The model was solved by a genetic algorithm toolbox in R. The proposed model provides an important and practical tool for rural EMS officials to select new EMS stations or relocate existing stations to improve service performance under budget and resource constraints.
Ontologies and Methods in Interdisciplinary Design

The goal of good User Interface Design (UID) is to develop usable interfaces. The need for more usable systems is becoming more and more important as people are becoming increasingly critical towards systems while the complexity of the systems increases. The User Interfaces of the next millennium will need to be designed better, easier to use, safer and above all they should effectively support users in their work. In order to design these systems, the input of multiple disciplines is needed since Computer Science does not have all the expertise needed for the design of truly usable systems. If all aspects of usable design are to be covered, the different disciplines need to integrate in order to create a synergistic effect. Integration can be achieved using methods that recognize this need and address the integration by using ontologies.
A simple method for high-precision evaluation of valve flow coefficient by computational fluid dynamics simulation

Flow coefficient is an important performance index associated with the energy efficiency of a valve, and an effective method to evaluate valve flow coefficient is necessary for valve industry. However, theoretical estimation often results in poor accuracy, while experimental measurements involve significant costs in time and equipment. In this article, a computational fluid dynamics method is proposed to achieve simple and accurate evaluation of valve flow coefficient. For each valve, a computational fluid dynamics model is established containing a valve section, an upstream section, and a downstream section. A grid-adaptation strategy is then applied to improve the accuracy of simulation. To calculate flow coefficient, the most important issue is to determine the net pressure loss induced by valve (ΔPv). Herein, the overall pressure drop (ΔPo) is obtained first, and the pipe-induced pressure drop (ΔPp) is estimated by linear fitting. Then, ΔPv is calculated as the difference between ΔPo and ΔPp. To ensure accurate estimation of the pressure losses, a length of 26 times of pipe diameter is preferred for the upstream section. The experiments demonstrated that the presented method can accurately predict flow coefficient for various types of valves and thus has great potential to be widely used in the valve industry.
The Study of Individual-Level Adaptability and Service Innovation Performance

งานวจยนมง หวงทจะขยายความรเ กยวกบความสามารถในการปรบตวในเรองของนวตกรรมบรการ มวตถประสงคเพอศกษาความสมพนธระหวางการปรบตวในระดบบคคลและผลดำเนนงานดาน นวตกรรมบรการ และเพอศกษาความแตกตางระหวางความสามารถในการปรบตวของพนกงานและ ความสามารถในการปรบตวของผจดการ โดยไดทำการเลอกกลมตวอยางจากพนกงานโรงแรม จงหวดกรงเทพมหานคร ประเทศไทย จำนวน 478 คน ใชแบบสอบถามในการเกบรวบรวมขอมล ในสวน การทดสอบสมมตฐานใชโมเดลสมการโครงสราง (Structural Equation Modeling) ดวยโปรแกรม AMOS 21.0 ผลการวจยแสดงใหเหนถงความสมพนธระหวางความสามารถในการปรบตวในระดบบคคลและผลดำเนนงาน ดานการขายของนวตกรรมบรการรวมถงผลดำเนนงานดานทเกยวกบลกคาซงเปนไปตามวตถประสงค ของงานวจย อยางไรกตาม ไมพบความแตกตางระหวางความสามารถในการปรบตวของพนกงานและ ความสามารถในการปรบตวของผจดการ ผลจากงานวจยนจะชว ยใหนกวชาการและผป ฏบตงานมความเขา ใจ ในความสามารถในการปรบตวของทงผจดการและพนกงานในบรบทของบรการซงจะสามารถนำไปปรบใช ในกลยทธและการจดการเพอใหนวตกรรมบรการประสบผลสำเรจ This paper aims to extend the adaptability construct into the study of service innovation. The first objective of this research is to study the relationship between individual-level adaptability and service innovation performance. This study also explores the difference between employees’ adaptability and managers’ adaptability. The sample group of this study is the employees working in the hotels in Bangkok, Thailand. The survey data were collected from 478 employees by using questionnaires. The hypotheses are tested by the Structural Equation Modelling (SEM) technique using Amos 21.0 programme. The findings indicate that there are relationships between adaptability at the individual level and service innovation sales performance as well as customer-related performance. The results address the research objective. Nonetheless, the difference between managers’ adaptability and employees’ adaptability is not found. The results should give academics and practitioners a better understanding of managers’ adaptability and employees’ adaptability in the service context, which can then be applied to their strategies and management to achieve service innovation.
A Gallium Nitride (GaN)-Based Single-Inductor Multiple-Output (SIMO) Inverter With Multi-Frequency AC Outputs

In this paper, a gallium nitride (GaN)-based single-inductor multiple-output (SIMO) dc–ac inverter, which generates multiple frequencies at the ac outputs, is introduced. The proposed time-multiplexed switching sequences enable the SIMO inverter to simultaneously generate sinusoidal-like outputs with different frequencies. In the absence of a parasitic body diode in the GaN transistor and with correct bias voltage, the proposed inverter requires no additional blocking diodes and/or cascaded power switches while still ensuring unidirectional flow of the inductor current for proper circuit operation. Compared with its silicon counterpart, this GaN-based inverter achieves a simplified circuit structure, reduced component count, small form factor, increased power density, and high efficiency. A practical application of this inverter is to act as a single wireless power transmitter which concurrently drives multiple transmitter coils at different frequencies for multi-standard wireless power transfer. A hardware prototype of a single-inductor three-output inverter producing three distinct resonant frequencies, namely, 100, 200, and 300 kHz, is constructed. The effectiveness of the proposed switching sequences and control method for this inverter is experimentally verified. No cross regulation is observed across the three individual ac outputs.
An Infrared Sequence Image Generating Method for Target Detection and Tracking

Training infrared target detection and tracking models based on deep learning requires a large number of infrared sequence images. The cost of acquisition real infrared target sequence images is high, while conventional simulation methods lack authenticity. This paper proposes a novel infrared data simulation method that combines real infrared images and simulated 3D infrared targets. Firstly, it stitches real infrared images into a panoramic image which is used as background. Then, the infrared characteristics of 3D aircraft are simulated on the tail nozzle, skin, and tail flame, which are used as targets. Finally, the background and targets are fused based on Unity3D, where the aircraft trajectory and attitude can be edited freely to generate rich multi-target infrared data. The experimental results show that the simulated image is not only visually similar to the real infrared image but also consistent with the real infrared image in terms of the performance of target detection algorithms. The method can provide training and testing samples for deep learning models for infrared target detection and tracking.
CSMV: A Highly Scalable Multi-Versioned Software Transactional Memory for GPUs

GPUs have traditionally focused on streaming applications with regular parallelism. Over the last years, though, GPUs have also been successfully used to accelerate irregular applications in a number of application domains by using fine grained synchronization schemes. Unfortunately, fine-grained synchronization strategies are notoriously complex and error-prone. This has motivated the search for alternative paradigms aimed to simplify concurrent programming and, among these, Transactional Memory (TM) is probably one of the most prominent proposals. This paper introduces CSMV (Client Server Multiversioned), a multi-versioned Software TM (STM) for GPUs that adopts an innovative client-server design. By decoupling the execution of transactions from their commit process, CSMV provides two main benefits: (i) it enables the use of fast on chip memory to access the global metadata used to synchronize transaction (ii) it allows for implementing highly efficient collaborative commit procedures, tailored to take full advantage of the architectural characteristics of GPUs. Via an extensive experimental study, we show that CSMV achieves up to 3 orders of magnitude speed-ups with respect to state of the art STMs for GPUs and that it can accelerate by up to 20× irregular applications running on state of the art STMs for CPUs.
MOONS – multi-object spectroscopy for the VLT: DMD based instrument calibration system

The MOONS (Multiple-Object Optical and Near-infrared Spectrograph) is a fibre-fed spectrograph for the European Southern Observatory’s Very Large Telescope. It will provide simultaneous observations of up to 1,000 objects covering the wavelength range 650 nm to 1800 nm. MOONS will also provide an observing mode with 500 object-sky pairs to provide precise sky-subtraction by nodding between object and sky. For this observing mode to be successful the instrument must be well calibrated and the relative throughput of each optical fibre known. The MOONS instrument throughput and wavelength calibration will be characterised, on a daily basis, using the on-board calibration system. The calibration system will illuminate the instrument via a deployable diffuse reflective screen located in front of the focal surface containing the optical fibres. The calibration system provides both spectral calibration via arc lamp illumination, and flat-field illumination via a Digital Micro-mirror Device (DMD) based projector system. This paper will provide a summary of the design and performance of the MOONS calibration system. Flat-field performance results will be presented which demonstrate the calibration unit achieves better than 2% peak to valley illumination uniformity across the 880 mm diameter flat-field screen.
Two new species of the genus Floresorchestia (Crustacea, Amphipoda, Talitridae) from Amphawa Estuary, Samut Songkhram Province, Thailand

Two new species of Floresorchestia (Crustacea: Amphipoda) are described from Amphawa Estuary, Samut Songkhram Province, Thailand. Floresorchestia amphawaensissp. nov. is a riparian-hoppers living near agricultural and urban areas, being distinguished by the following character states: left mandible lacinia mobilis 4-dentate; gnathopod 2 palm reaching about 34%; telson as broad as long, with four robust setae per lobe. Floresorchestia pongratisp. nov. are described as riparian-hoppers living in the moist area near Mae Klong canal banks with a unique left mandible lacinia mobilis 5-dentate; gnathopod 2 palm reaching 30% and telson with seven robust setae per lobe. The status and the problem of diagnostic character states of the genus Floresorchestia are discussed.
Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Surface defect segmentation supports real-time surface defect detection system of steel sheet by reducing redundant information and highlighting the critical defect regions for high-level image understanding. Existing defect segmentation methods usually lack adaptiveness to different shape, size and scale of the defect object. Based on the observation that the defective area can be regarded as the salient part of image, a saliency detection model using double low-rank and sparse decomposition (DLRSD) is proposed for surface defect segmentation. The proposed method adopts a low-rank assumption which characterizes the defective sub-regions and defect-free background sub-regions respectively. In addition, DLRSD model uses sparse constrains for background sub-regions so as to improve the robustness to noise and uneven illumination simultaneously. Then the Laplacian regularization among spatially adjacent sub-regions is incorporated into the DLRSD model in order to uniformly highlight the defect object. Our proposed DLRSD-based segmentation method consists of three steps: firstly, using DLRSD model to obtain the defect foreground image; then, enhancing the foreground image to establish the good foundation for segmentation; finally, the Otsu’s method is used to choose an optimal threshold automatically for segmentation. Experimental results demonstrate that the proposed method outperforms state-of-the-art approaches in terms of both subjective and objective tests. Meanwhile, the proposed method is applicable to industrial detection with limited computational resources.