Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of integrated care for older adults with depression and hypertension in rural China: A cluster randomized controlled trial

Background : Effectiveness of integrated care management for common, comorbid physical and mental disorders has been insufficiently examined in low- and middle-income countries. We tested hypotheses that older adults treated in rural Chinese primary care clinics with integrated care management of comorbid depression and HTN would show greater improvements in depression symptom severity and hypertension (HTN) control than those who received usual care. Methods and findings : The study was a 12-month cluster randomized controlled trial conducted from 2014 through 2017, with analyses conducted in 2020-2021. Subjects were rural village clinics of randomly selected towns in Zhejiang Province, China. Ten towns with a total of 218 rural village primary care clinics were randomized, five towns each, to deliver the Chinese Older Adult Collaborations in Health (COACH) intervention or enhanced care-as-usual (eCAU). The COACH intervention consisted of algorithm-driven treatment of depression and HTN by village primary care doctors supported by village lay workers with consultation from centrally-located psychiatrists. Subjects included clinic patients aged >=60 years with a diagnosis of HTN and clinically significant depressive symptoms (PHQ-9 score >=10). Of 2899 eligible subjects, 2365 (82%) agreed to participate and were followed for 12 months. Observers were blinded to study hypotheses but not to group assignment. Primary outcomes specified a priori were change in depression symptom severity and proportion with controlled HTN. Compared with 1133 subjects who received eCAU, 1232 COACH subjects showed greater reduction in depressive symptoms (Cohens d [{+/-}SD] = -0.21 [-0.25, -0.17]) and greater likelihood of achieving HTN control (OR [95% CI] = 18.24 [8.40, 39.63]). Exploratory post hoc analyses showed that COACH subjects who accepted an antidepressant had greater symptom reduction than either those who declined the medication or received eCAU. HTN control improved in COACH subjects regardless of antidepressant use. Conclusions : The COACH model appears effective in managing comorbid depression and HTN in older adult residents of rural Chinese villages. Integrated care management of comorbid depression and common medical illness may be a useful approach in other low resourced settings in which specialty geriatric mental health care is lacking.
Efficacy and Safety of TurmXTRA(R) 60N in Delayed-onset Muscle Soreness in Healthy, Recreationally Active Subjects: a Randomized, Double-blind, Placebo-controlled Trial

Background: Delayed onset of muscle soreness (DOMS) and its physiological consequences has an important influence on the adherence of individual to the exercise routine. Objective: This study aimed to evaluate the efficacy, safety, and tolerability of TurmXTRA(R) 60N (WDTE60N) on DOMS in comparison with placebo in recreationally active healthy subjects. Methods: The present study was a randomized, double-blind, placebo-controlled parallel group study. Thirty healthy and recreationally active subjects (average age: 28.23{+/-}4.20 years) were randomized to receive WDTE60N (WDTE60N group; n=15) or placebo (placebo group; n=15). Study treatments were initiated 29 days prior to the eccentric exercise and continued for 4 days after the exercise. Primary endpoint was the change in pain intensity measured by the visual analog scale (VAS) at the end of study treatment (at 96 hours after eccentric exercise) from baseline (measured immediately after exercise). Results The VAS score indicated that subjects from the WDTE60N group reported significantly less pain after eccentric exercise compared to placebo group (AUC0-96h: 286.8{+/-}46.7 vs. 460{+/-}40.5, respectively; p<0.0001). Wellbeing status, assessed using the adapted version of Hooper & MacKinnon questionnaire, calculated as individual and cumulative scores of the domains - fatigue, mood, general muscle soreness, sleep quality and stress demonstrated significant improvement in all domains as well as in overall wellbeing in WDTE60N group as compared to placebo group (p<0.0001). Serum lactate dehydrogenase (LDH) was significantly lower in the WDTE60N group compared to placebo group (AUC0-96h: 23623.7{+/-}2532.0 vs. 26138.6{+/-}3669.5, respectively; p=0.0446). Conclusion The WDTE60N intake before and after eccentric exercise significantly reduced subjective perception of muscle soreness and serum LDH activity, and increased psychological wellbeing after eccentric exercise in recreationally active subjects.
Gas bearing with active magnetic damping for ultra-high-speed electrical drive systems

Ultra-high-speed electrical drive systems are expected in industrial applications such as turbo-compressors for heat pumps, fuel cells, generators for portable gas or air turbines and cryogenic systems, with rotational speeds ranging from 200’000 revolutions per minute (rpm) to 1 Million rpm at power ratings of a few tens of watts to a few kilowatts. At high rotational speeds, these applications can be realized with high power density, compact size and low weight. While efficient electric machine designs have been developed for highest rotational speeds, their use in industrial applications is currently limited by lacking high speed bearing technologies permitting high reliability and long lifetime. Promising bearing technologies for high rotational speeds are contact-less bearing concepts such as active magnetic bearings or gas bearings. While magnetic bearings usually are major electromechanical systems with substantial complexity, gas bearings allow compact realizations with high load capacity and stiffness; however, stringent manufacturing tolerances and poor dynamic stability has been limiting their use at high rotational speeds. A hybrid bearing approach is therefore followed in the present work employing a self-acting gas bearing as the main load carrying element and a small-sized active magnetic damper for stabilization at high rotational speeds; the hybrid gas-magnetic concept aims to combine the advantages of the two individual bearing technologies while eliminating their drawbacks. Focusing on high speed operation, the basic properties of gas bearings are reviewed and their limitations and critical design aspects involved with ultra-high-speed operation are identified. For stabilization of the gas bearing at high rotational speeds, existing and novel magnetic damper concepts are evaluated. A new eddy current based
Instantaneous lift-off distance estimation in magnetic flux leakage testing of steel wire ropes

Steel wire rope (SWR) defects plagued its application in many important fields, such as cranes, ports, etc. However, the accuracy of SWRs’ local flaws detection based on magnetic flux leakage (MFL) method is susceptible to the lift-off distance. This paper proposes an instantaneous lift-off distance estimation method to study the effect of lift-off distance on MFL detection for SWR. We firstly derive the relation between the lift-off distance and the MFL field strength based on the magnetic dipole model. After obtaining the time-frequency representation of the MFL signal by using multi-synchrosqueezing transform, we extract the instantaneous amplitude (IA) of the strand signal without other noise interference. Finally, the nonlinear least-squares method is used to fit the relation between the IAs of the strand signals and the lift-off distances to achieve the estimation of the instantaneous lift-off distance. A SWR with three local flaws is tested to validate the proposed method. This work provides instantaneous monitoring of lift-off distances, and it can be used in future noise suppressing methods development or quantitative analysis of local flaws.
The Instantaneous Spectral Entropy for Real-time, Online Structural Health Monitoring.

Entropy measurements have been recently proposed for the damage assessment of civil structures and mechanical systems. Here, a quasi-real-time approach, based on Instantaneous Spectral Entropy (ISE), is proposed for the detection of sudden stiffness reduction, breathing cracks, and other kinds of structural changes. The method, validated on an experimental benchmark, is suitable for nonstationary signals originating from nonlinear structures as well.
Structural Health Monitoring of Large Structures via mmWave Sensing

Vibration and deformation measurement are of great significance for structural health monitoring (SHM). While the existing accelerometer, laser and vision-based approaches have limitations in multi-point vibration measurement, efficiency and environmental adaptability, especially for large structures. In this paper, we present a method for structural health monitoring with multi-point vibration and deformation measurement via millimetre- wave sensing. First, we describe the mathematical model and the principle of multi-target synchronous vibration and deformation monitoring. Second, with a built prototype of mmWave sensing system, we evaluate our method with both laboratory and field tests. The experimental results of different amplitudes, frequencies and velocities show that our approach can accurately monitor the vibration and deformation of multi-point with μm-level accuracy. The field test of Shanghai Songpu Bridge is provided to further validate the effectiveness of the method, offering a novel approach for contactless vibration and deformation monitoring of large structures in SHM.
The Changing Occupational Distribution by College Major

In this paper we examine the occupational distribution of individuals who hold bachelor degrees in particular fields in the United States using data from the various waves of the National Survey of College Graduates. We propose and calculate indexes that describe two related aspects of the occupational distribution by major field of study: distinctiveness (how dissimilar are the occupations of a particular major when compared with all other majors) and variety (how varied are the occupations among those who hold that particular major). We discuss theoretical properties of these indices and statistical properties of their estimates. We show that the occupational variety has increased since 1993 for most major fields of study, particularly between the 1993 and 2003 waves of the survey. We explore reasons for this broadening of the occupation distribution. We find that this has not led to an increase in reported mismatch between degree and occupation.
Rotor crack and bearing fault diagnosis based onVMD-ICA

The rotor-bearing system is vulnerable to rotor cracks, bearing failures, or even multiple failures at the same time during long-term service, and it is more difficult to diagnose the faults under rotor crack and bearing fault coupling conditions. This paper proposed a signal reconstruction method to classify the rotor crack, the bearing outer ring fault and their coupling faults based on Variational Mode Decomposition (VMD) and Independent Component Analysis (ICA). Firstly, the original vibration signal collected on a rotor-bearing test bench is decomposed with VMD, and several intrinsic mode functions (IMF) are obtained. Then, the correlation kurtosis CK M which introduces the characteristics of periodic correlation function is to evaluate the decomposed IMF component, and screen the rotor crack information component. Finally, the rotor crack information component is input into a virtual channel signal and separated with the original vibration signal with ICA, and then the separated two sets of signals are superimposed to obtain a vibration signal that simultaneously highlights the information of the rotor crack and the bearing outer ring fault. In addition, the time domain signal is directly input into a LightGBM to diagnose different faults. The research results show that this method can simultaneously diagnose the rotor crack, the bearing outer ring fault and the coupling fault.
A new strategy to eliminate interference of varying operating conditions during multivariate signal processing-based fault diagnosis approach

Multivariate signal acquisition and processing of faulty mechanical components extract more fault characteristic information, contributing to comprehensive and accurate fault diagnosis. Multivariate empirical mode decomposition (MEMD) is an effective approach in the field of multivariate signal processing. While nuisance attribute projection (NAP) can be used to filter out the components of nuisance attributes caused by varying operating condition. This paper proposes a new strategy for eliminating interference during multivariate signal processing- based fault diagnosis approach. MEMD is used to decompose multivariate signal of faulty rolling bearing into multivariate IMFs depicting dynamical properties, with extracting quantitative features of multivariate IMFs. Then, NAP is used to eliminate nuisance attributes of varying operating conditions in the constructed feature matrices. To illustrate the effectiveness and superiority of the proposed new strategy, the extracted features are presented by t-distribution stochastic neighbour embedding (t-SNE). The dimensionalities of feature vectors are reduced to 3 on account of the visualization simplicity. The comparison analysis during application researches can validate the superiority of the proposed novel strategy.
Adaptive Gaussian mixture model based structural damage monitoring method under time-varying conditions

The low reliability of damage monitoring under Time-Varying Conditions (TVCs) is a key challenge for the practical application of Structural Health Monitoring (SHM) technology to aircraft structures. Among the existing SHM methods, Guided Wave (GW) and piezoelectric sensor based SHM technique is a promising method due to its high damage sensitivity and long monitoring range. Nevertheless the reliability problem still should be addressed. To deal with this problem, an adaptive Gaussian Mixture Model (GMM) based structural damage monitoring method is proposed. The probability distribution of GW features under TVCs is represented by the GMM. The center of each Gaussian component in a GMM is determined adaptively first. Then a global optimal GMM which could change with TVCs is constructed by the expectation maximization algorithm. Finally, along with damage monitoring process, the variation of GMMs is measured by a probabilistic similarity based damage index which allows normalized detection of structural damage. The utility of the proposed method is validated in the hole-edge crack monitoring of an aluminum tension sample under varying loading condition.
Investigation of a converter fault for a DFIG wind turbine and analysis of the resulting gearbox component loads

Doubly fed induction generators are widely used in wind turbines in the field. The main advantage is the significantly lower cost of the partial scale power converter compared to the full scale power converter. Converter faults in wind turbines lead to significant generator torque excitations that lead to dynamic loads in the drivetrain. Dynamic loads and changing rotational speeds can lead to gearbox damages. The generator torque excitations have the highest influence on the high speed shaft torque due to the coupling to the generator. Gearbox damages occur mainly on the components of the high speed shaft. Thus, in this paper the influence of a converter fault in a wind turbine with doubly fed induction generator on the high speed shaft component damages is investigated. It is shown that the converter fault can induce dynamic torque excitations with a maximum increase to around 2.5 times rated torque. Due to the resulting dynamic gearbox loading the safety against scuffing in the high speed gear stage decreases by maximum 19 percent. The smearing risk in the high speed shaft bearings increases to around 2 times the value during rated power production.
Physical investigation of slamming loads on a 2D body

In this thesis a physical investigation of the slamming loads on a two-dimensional body is performed. It includes an experimental analysis of a drop test performed at MARINTEK’s laboratories on a wedge shaped section in two-dimensional flow conditions. Due to confidentiality, the experiment will only be referred to as ’the MARINTEK experiment’. From a former analysis of the experimental results at MARINTEK, deviations between measurements and theoretically predicted impact loads were found. The need for a further investigation of the involved features was announced. A search for an explanation for these deviations is the motivation behind this thesis. This task is demanding, and experienced researchers have already made an attempt of explaining the observed behaviour. A rigid wedge with a mass of 170 kg and a deadrise angle of 10◦ was dropped from three drop heights: 0.1, 0.25 and 0.5 m. Pressure, force and position were measured. The accelerometers were not set up during the experiments so the acceleration data files proved to be empty. Velocity derived from position measurements was used instead. The pressure sensors are mounted on the force panel. All data from the tests have been available and analysed in Matlab. Features of the measured pressure and force for different drop heights were analysed. The observed features are compared to theoretical predictions. Measurement techniques and applicability limits of theoretical models were studied as a background for the discussion of deviations between theory and measurements. Other slamming experiments were also studied to be aware of common challenges and for comparison with results from the MARINTEK experiment. Differences between measured data and theoretically predicted results were found. Wagner’s theory (1932) was used for comparison. Spatial distribution of maximum pressures and pressure coefficients showed values differing from the prediction by Wagner. A discrepancy between integrated pressure and force measurements over the panel was found. This occurred for the lowest drop height only. It was found that the lowest drop height showed the largest deviations from theoretical predictions in most of the analyses made. Various effects that can affect the results were assessed. The change in velocity was investigated, but it was concluded that the small changes in velocity are not capable of causing the observed behaviour. Hydroelasticity was considered, but no indications of it occurring were found in the analyses. Three-dimensional effects are also considered, but from the test set-up they are not likely to occur. As a last solution, total error estimates for the peak pressure and maximum pressure coefficient were made. The deviations from the theoretical predictions were found to be inside this error range. For the discrepancy between force and integrated pressure, the results from the performed analyses indicated
Incidence of Palmaris Longus Muscle Absence in Nigerian Population Incidencia de la Ausencia del Músculo Palmar Largo en la Población de Nigeria

SUMMARY: A lot has been reported about variation of palmaris longus muscle in journals and conventional textbooks. Theincidence of palmaris longus muscle absence among people of the six geo-political zones of Nigeria was evaluated using 600 subjects.31. 25% (187 subjects) lack palmaris longus muscleon either of the forearms. 12.5% (75 subjects) shows unilateral absence and 1 8.75%(112 subjects) shows bilateral absence. 25% (150) of subjects lacks palmaris longus muscleon their right forearms while 25% also lacksit on their left forearms. 6% (37) shows double tendons of palmaris longus muscleon both forearms. Highest incidence of absence wasrecorded among people of South-West zone. KEY WORDS: Palmaris longus muscle; Tendons; Flexors muscles; Forearm. INTRODUCTION Much has been reported about the variations inpalmaris longus muscle in relation to its morphology, origin,insertion, nerve supply and presence or absence in differentindividuals. Proximally, it is attached to the medialepicondyle of the humerus along with other superficialflexors of the forearm. Distally its long thin tendon formsthe superficial portion of the mid palmar fascia (Nigro, 2001). Skin and fascia of the palm and digital webs give attachmentto the fibres of palmar fascia. The palmaris longus muscle isinnervated by a branch of the median nerve (Linell, 1921;Sunderland & Ray, 1946). Palmaris longus muscle is one of the superficialslender muscles of the forearm that act on the skin and distaldigital webs. It has been described as a phylogeneticallydegenerate metacarpophalangeal joint flexor (Gray
WE KNOW IT BEFORE YOU DO: PREDICTING MALICIOUS DOMAINS

Malicious domains play an important role in many attack schemes. From distributing malware to hosting command and control (C&C) servers and traffi c distribution, malicious domains are essential to the success of nearly all popular attack vectors. The detection of malicious domains has always been a hot topic in the security research community. Much effort has been put into building reputation-based malicious domain blacklists (MDBLs). However, in order to evade detection and blocking by the domain reputation systems, many malicious domains are now only used for a very short period of time. In other words, a malicious domain has already served most of its purpose by the time its content is detected and the domain is blocked. In this paper, we propose a system for predicting the domains that are most likely to be used (or are about to be used) as malicious domains. Our approach leverages the knowledge of the life cycle of malicious domains, as well as the observation of resource re-use across different attacks. The proposed system is built on top of various data feeds from the real world and our evaluation demonstrates the effectiveness of the predicted malicious domains.
A Study on the Stability of Existing Subway Tunnel due to Construction of New Underpass

Recently, subways in the city are formed a vast underground network which is interfered with construction when large-scale infrastructure will be planned to nearby existing subway tunnels. Researches have been restricted to estimate stability of existing subway tunnel due to adjacent excavation causued by small construction such as buildings. In this paper, OO underpass is planned on the top of existing subway tunnel, which will be need large-scale excavation, is selected as a subject of study. And the purpose of this study is to analyze the effects on existing subway tunnel due to excavation by stages on construction of underpass. The 3D-numerical analysis was performed by using the MIDAS/GTS program. The stability on existing subway tunnel caused by sequential excavation is analysed using numerical results. Based on the analysis, the excavation orders and reinforcement methods was suggested for stability of exiting subway tunnel.
Praktische Erprobung eines Extrusionsrheometers zur schnellen Beurteilung von Verarbeitungseigenschaften

Variations in quality due to the batchwise production of compounds in the rubber processing industries requires release testing procedures. However, the usual used test methods and devices are not able to detect variations in the processing properties regarding the post-processing steps. One approach to gain a quick evaluation is using an extrusion-rheometer. Beside describing the apparatous and measurement procedure, this publication will show research results which allow an assessment of the mentioned assignment. The results prove that additionally to the description of the rheological properties an efficient device is developed which is able to evaluate the extrudability of rubber compounds.