Miracle-dz/UniFAR-FTUs huggingface dataset:
Vertical Jumping as a Monitoring Tool in Endurance Runners: A Brief Review

Abstract Jumping performance (e.g., countermovement jump [CMJ]), as a measure of neuromuscular performance, has been suggested as an easy-to-use tool which simultaneously provides neuromuscular and metabolic information and, thereby, allows coaches to confidently monitor the status of their athletes during a workout. This hypothesis has been satisfactorily tested with sprint athletes. However, the rationale for the use of CMJ height loss as an index to monitor the workload during an endurance running session is not sufficiently evidence-based. First, it is assumed that a CMJ height loss occurs during typical interval training for endurance runners. Second, it is also assumed that a significant relationship between metabolic stress and the neuromuscular strain induced during these endurance workouts exists. These two assumptions will be questioned in this review by critically analyzing the kinetics of CMJ performance during and after running workouts, and the relationship between neuromuscular and physiological stress induced during different protocols in endurance runners. The current evidence shows that fatigue induced by common running workouts for endurance runners does not counterbalance the potentiation effect in the CMJ height. Additionally, the findings reported among different studies are consistent regarding the lack of association between CMJ height loss and physiological stress during interval sessions in endurance runners. In practical terms, the authors suggest that this marker of neuromuscular fatigue may not be used to regulate the external training load during running workouts in endurance runners. Nevertheless, the analysis of CMJ height during running workouts may serve to monitor chronic adaptations to training in endurance runners.
Time fractional derivatives for voltage creep in ferroelectric materials: theory and experiment

Nonlinearities, such as hysteresis and creep, are major limitations for high accuracy positioning with piezoactuators. This paper describes a model for the primary nonlinearities including creep in ferroelectric materials at moderate to high driving levels and from quasi-static frequency to high dynamics. The model first developed to simulate hysteresis polarization behaviour has been extended to the creep phenomenon. Based on a simple quasi-static mechanism related to the dry-friction concept, we have added a polarization time fractional derivative term to obtain very effective modelling of the dynamical effects through the ferroelectric material. A relation between strain and polarization is proposed that accurately simulates piezoelectric ceramic creep strain. In this paper, a new approach and the physical insights developed therein are discussed. Simulated behaviour is compared with experimental results for a typical soft PZT ferroelectric ceramic (type Navy II piezoelectric transducer ceramic).
Materials Management: The Key to Successful Project Management

A successful engineering and construction project fulfills the customer's needs while profiting the engineering company. But when money is tight, clients look for engineering companies that can provide the best product at the lowest cost. Materials management is often overlooked as method of cutting costs. Considering that for a typical industrial facility 50 to 60% of the total cost is for equipment and materials, companies obtaining those items at the lowest possible cost will provide the greatest savings. Materials management is a management system that integrates the traditional areas of purchasing, expediting and controlling the progress of the vendor. An essential part of project management, materials management can be integrated with engineering to provide an end product that meets the client's needs and is cost effective. A typical engineer-procure-construct project can be divided into seven distinct stages: planning, preliminary design, final design, procurement, vendor control, construction and .
A Conceptual Model for Assessing the Value ofInformation Technology

ii I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. Abstract The value of an IT system can be considered from a number of different perspectives. Specifically, the same IT system can be valued differently across different stakeholders, time periods, usage environments, and other contextual factors. When measuring the value of an IT system, it is important to consider what value perspectives are relevant and how those perspectives affect the development of value metrics. An IT value assessment framework is proposed to aid in identifying such contextual factors and exploring how those factors affect the value that is realized from an IT system.
Can a gift-exchange model explain a potential link between employees being able to work flexibly and organizational performance?

The present study investigates the links between flexible working, organizational commitment and performance-related outcomes (labour productivity, product or service quality, absenteeism and labour turnover). The focus is on working arrangements that allow employees to exercise their preferences with regards to when and where they work, i.e. the ability to work: flexible hours, from home during working hours, the same hours across fewer days, reduced hours. Employee and workplace data from the Workplace Employment Survey of 2004, which is a representative sample of British workplaces with five or more employees, are used. Both the provision of a flexible working arrangement and the perception of access are analyzed. Results suggest different impacts. Employees’ perceptions of being able to work flexitime, from home or compressed weeks are positively associated with workforce commitment, but only the latter is positively related to labour productivity and quality. This link with quality is mediated by workforce commitment, as expected in a gift-exchange context. Allowing employees flexibility of working hours and a compressed week may lead to higher product or service quality, but may not increase commitment. Overall, a policy of allowing work from home appears to be the most attractive arrangement for the employer, as it is positively associated with workforce commitment and may have positive effects on organizational performance.
Limitations of conductance to the measurement of the interface state density of MOS capacitors with tunneling gate dielectrics

A systematic study of the uncertainties, sensitivity and limitations of the conductance technique for extracting the interface state density of tunneling dielectrics is presented. The methodology required to extract device parameters and interface state density from conductance and capacitance data is reviewed and analyzed. The effect of uncertainties in device parameters on extracted interface state density was determined using experimental results of thin oxides (1.4 nm and 2.0 nm). Modeling was used to indicate the effects of various device parameters on the sensitivity of conductance to changes in interface state density. The effect of uncertainties in insulator capacitance of equivalently thin dielectrics on uncertainties in extracted interface state density is minimal. The effect of uncertainties in series resistance increases with increasing bias towards accumulation. An increase in the series resistance of the device causes reduced sensitivity to changes in interface state density especially for interface states located nearer the majority band edge; increasing tunneling current causes increased uncertainties and reduced sensitivity to changes in interface state density especially for interface states nearer midgap.
on the Influencing Factors of the Lender's Lending Behavior in China‘s P2P Network Lending

: This paper takes the lenders’ lending behavior inP2P network lending as the research object, innovatively uses the theory of perceived value to establishes the theoretical model of the influence of the related factors on the loan application, uses logistic regression model and two-step cluster method as the analysis tools, to analyze the effect and mechanism of related factors on the success of loan application, then puts forward relevant suggestions on P2P network lending transactions. The study found that: 1. Loan success rate in PPDAI is low, only 29.65%. 2. Borrowing rates, special type of bid, posting photo, the success and failing times of the loan all have important impacts on the success of loan; the amount of loan has little impact on the success of loan. 3. The factors such as lending credit, posting photo, the success and failing times of the loan, etc. are the most important factors for the clustering results.
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

Due to the superior ability of global dependency modeling, Transformer and its variants have become the primary choice of many vision-and-language tasks. However, in tasks like Visual Question Answering (VQA) and Referring Expression Comprehension (REC), the multimodal prediction often requires visual information from macro- to micro-views. Therefore, how to dynamically schedule the global and local dependency modeling in Transformer has become an emerging issue. In this paper, we propose an example-dependent routing scheme called TRAnsformer Routing (TRAR) to address this issue1. Specifically, in TRAR, each visual Transformer layer is equipped with a routing module with different attention spans. The model can dynamically select the corresponding attentions based on the output of the previous inference step, so as to formulate the optimal routing path for each example. Notably, with careful designs, TRAR can reduce the additional computation and memory overhead to almost negligible. To validate TRAR, we conduct extensive experiments on five benchmark datasets of VQA and REC, and achieve superior performance gains than the standard Transformers and a bunch of state-of-the-art methods.
Leveraging Herbarium Records for a Niche Analysis of Ripariosida hermaphrodita (L.) Weakley & B. D. Poind. (Virginia mallow)

Weedy and rare plant species that thrive in disturbed habitats, but with restricted ranges, present a unique field of ecological research. Native to the Great Lakes drainage and the Ohio, Kanawha, Susquehanna, and Potomac river basins, Virginia mallow, Ripariosida hermaphrodita (L.) Weakley & D.B. Poind. (Malvaceae), is one such pioneer species that, despite its weedy habit, is rare throughout its range from Indiana west to Pennsylvania and from Tennessee north to Ontario, Canada. This rhizomatous perennial can reach around four meters in one growing season and is cultivated as a biofuel crop in Eastern Europe. Virginia mallow yields perfect, white, terminal cymose panicle inflorescences for several months in late summer, maturing into capsule fruits. Recent molecular phylogenetic work has motivated the revision of Virginia mallow from Sida hermaphrodita (L.) Rusby to the newly monotypic Ripariosida. This work attempts to clarify the known extent of Virginia mallow through an ArcGIS niche analysis using georeferenced herbarium specimens collected over the last century and a half. 248 wild collected and unduplicated records were assigned levels of geographic uncertainty from none to most: 51 specimens could not be georeferenced (Level 0), 83 specimens were georeferenced with a general locality statement (Level 1), 106 specimens were georeferenced with a precise locality statement (Level 2) and 7 specimens have GPS coordinates taken at the time of collection (Level 3). Analyses
NACADA Journal 33-2

We used 2 studies to examine attachment security and college student success. In the 1st study, 85 first-semester students provided information on attachment dimensions and psychological, ethi­ cal, and social indices. More anxious students performed worse academically in college than they had in high school and indicated they would be more willing to cheat; they also scored lower on measures of academic locus of control and self-esteem than their peers. Securely attached students reported low levels of depression and anxiety. Findings were supported with regression analysis conducted with controls for attachment avoidance, high school grade-point average, and gender. A 2nd follow-up study showed that college students who had plagiarized papers reported high levels of attachment anxiety. The contribution of attachment theory to academic advising is discussed.
Net Charges of the Ribosomal Proteins of the S10 and spc Clusters of Halophiles Are Inversely Related to the Degree of Halotolerance

The net charges (at pH 7.4) of the ribosomal proteins (r-proteins) that comprise the S10-spc cluster show an inverse relationship with the halophilicity/halotolerance levels in both bacteria and archaea. In non-halophilic bacteria, the S10-spc cluster r-proteins are generally basic (positively charged), while the rest of the proteomes in these strains are generally acidic. ABSTRACT Net positive charge(s) on ribosomal proteins (r-proteins) have been reported to influence the assembly and folding of ribosomes. A high percentage of r-proteins from extremely halophilic archaea are known to be acidic or even negatively charged. Those proteins that remain positively charged are typically far less positively charged. Here, the analysis is extended to non-archaeal halophilic bacteria, eukaryotes, and halotolerant archaea. The net charges (pH 7.4) of the r-proteins that comprise the S10-spc operon/cluster from individual microbial and eukaryotic genomes were estimated and intercompared. It was observed that, as a general rule, the net charges of individual proteins remained mostly basic as the salt tolerance of the bacterial strains increased from 5 to 15%. The most striking exceptions were the extremely halophilic bacterial strains, Salinibacter ruber SD01, Acetohalobium arabaticum DSM 5501 and Selenihalanaerobacter shriftii ATCC BAA-73, which are reported to require a minimum of 18% to 21% salt for their growth. All three strains have higher numbers of acidic S10-spc cluster r-proteins than what is seen in the moderate halophiles or the halotolerant strains. Of the individual proteins, only uL2 never became acidic. uS14 and uL16 also seldom became acidic. The net negative charges on several of the S10-spc cluster r-proteins are a feature generally shared by all extremely halophilic archaea and bacteria. The S10-spc cluster r-proteins of halophilic fungi and algae (eukaryotes) were exceptions: these were positively charged despite the halophilicity of the organisms. IMPORTANCE The net charges (at pH 7.4) of the ribosomal proteins (r-proteins) that comprise the S10-spc cluster show an inverse relationship with the halophilicity/halotolerance levels in both bacteria and archaea. In non-halophilic bacteria, the S10-spc cluster r-proteins are generally basic (positively charged), while the rest of the proteomes in these strains are generally acidic. On the other hand, the whole proteomes of the extremely halophilic strains are overall negatively charged, including the S10-spc cluster r-proteins. Given that the distribution of charged residues in the ribosome exit tunnel influences cotranslational folding, the contrasting charges observed in the S10-spc cluster r-proteins have potential implications for the rate of passage of these proteins through the ribosomal exit tunnel. Furthermore, the universal protein uL2, which lies in the oldest part of the ribosome, is always positively charged irrespective of the strain/organism it belongs to. This has implications for its role in the prebiotic context.
Evaluating Deep Learning Methods for Low Resolution Point Cloud Registration in Outdoor Scenarios

Point cloud registration is a fundamental task in 3D reconstruction and environment perception. We explore the performance of modern Deep Learning-based registration techniques, in particular Deep Global Registration (DGR) and Learning Multi-view Registration (LMVR), on an outdoor real world data consisting of thousands of range maps of a building acquired by a Velodyne LIDAR mounted on a drone. We used these pairwise registration methods in a sequential pipeline to obtain an initial rough registration. The output of this pipeline can be further globally reﬁned. This simple registration pipeline allow us to assess if these modern methods are able to deal with this low quality data. Our experiments demonstrated that, despite some design choices adopted to take into account the peculiarities of the data, more work is required to improve the results of the registration.
Slow and Steady, or Hard and Fast? A Systematic Review and Meta-Analysis of Studies Comparing Body Composition Changes between Interval Training and Moderate Intensity Continuous Training

Purpose: To conduct a systematic review and multilevel meta-analysis of the current literature as to the effects of interval training (IT) vs moderate intensity continuous training (MICT) on measures of body composition, both on a whole-body and regional level. Methods: We searched English-language papers on PubMed/MEDLINE, Scopus, CINAHL, and sportrxiv for the following inclusion criteria: (a) randomized controlled trials that directly compared IT vs MICT body composition using a validated measure in healthy children and adults; (b) training was carried out a minimum of once per week for at least four weeks; (c) published in a peer-reviewed English language journal or on a pre-print server. Results: The main model for fat mass effects revealed a trivial standardized point estimate with high precision for the interval estimate, with moderate heterogeneity (−0.016 (95%CI −0.07 to 0.04); I2 = 36%). The main model for fat-free mass (FFM) effects revealed a trivial standardized point estimate with high precision for the interval estimate, with negligible heterogeneity (−0.0004 (95%CI −0.05 to 0.05); I2 = 16%). The GRADE summary of findings suggested high certainty for both main model effects. Conclusions: Our findings provide compelling evidence that the pattern of intensity of effort and volume during endurance exercise (i.e., IT vs MICT) has minimal influence on longitudinal changes in fat mass and FFM, which are likely to minimal anyway. Trial registration number: This study was preregistered on the Open Science Framework.
A simple approximation of the EMQ model with Poisson machine failures

Consideration is given to the effect of machine breakdowns on the finite replenishment rate inventory model, which is also known as the Economic Manufacturing Quality model. It is assumed that the number of failures in a production run is Poisson distributed while the repair times are random and can assume any general distribution. Upon failure, the machine will receive immediate service, and the demand will be met from inventory. Long repair times can lead to stockout situations where no backordering is allowed. With the aforementioned assumptions, a simple approximate model is developed that describes the behaviour of the problem. Specific formulations are given for the cases where the repair times are exponential and constant. The model is based on results from Poisson and regenerative processes, and when tested against simulation, it provides very good solutions.
Sensitive identification of known and unknown protease activities by unsupervised linear motif deconvolution

The cleavage-site specificities for many proteases are not well-understood, restricting the utility of supervised classification methods. We present an algorithm and web interface to overcome this limitation through the unsupervised detection of overrepresented patterns in protein sequence data, providing insight into the mixture of protease activities contributing to a complex system. Here, we apply the RObust LInear Motif Deconvolution (RoLiM) algorithm to confidently detect substrate cleavage patterns for SARS-CoV-2 Mpro protease in N terminome data of an infected human cell line. Using mass spectrometry-based peptide data from a case-control comparison of 341 primary urothelial bladder cancer cases and 110 controls, we identified distinct sequence motifs indicative of increased MMP activity in urine from cancer patients. Evaluation of N terminal peptides from patient plasma post-chemotherapy detected novel Granzyme B/Corin activity. RoLiM will enhance unbiased investigation of peptide sequences to establish the composition of known and uncharacterized protease activities in biological systems.
Response of an Asphalt Pavement Mixture under a Slow Moving Truck

In this paper, the responses of two different pavement structures (10 and 20 cm HMA layer), were analyzed under the steering, driving and trailer axles of an eighteen-wheeler truck during braking on a 6% downhill grade. The response of the asphalt pavement to the decelerated truck during the braking period was estimated at three different traveling speeds: 64, 32, and 3.2 km/h using the computer code 3D-Moving Load Analysis (3D-MOVE). Significant load redistribution, which occurs between the truck axles under deceleration, has been accounted for in the analysis. The time dependent behavior of the HMA layer as the truck approaches the stopping point is incorporated by using the complex shear modulus and the internal damping as a function of loading frequency. The base course and subgrade layers are treated as linear elastic materials with an internal damping assumed to be 5%. The non-uniform stress distributions at the tire-pavement interface were interpolated from measured contact stress distributions at various speeds made with the Kistler MODULAS Quartz Sensor Array by the Nevada Automotive Test Center (NATC). Braking forces at each tire were included as interface shear stresses with a distribution that was estimated by multiplying the vertical stress distribution by the calculated coefficient of friction between each tire and the pavement surface. The study reveals that rutting in the HMA layer is more prone under the steering single tire while shoving is mainly caused by the dual tandems driving tires.
In Situ Velocity Measurements in the Near-Wake of a Ship Superstructure

Velocity measurements in a ship airwake are obtained in situ aboard a 108 ft naval training vessel. The measurements and analyses aremotivated by the need for validation data for airwake computational fluid dynamics simulations. Three-component anemometers are placed above the bow of the ship and at numerous locations above a flight deck at the stern of the ship. Data are presented for a direct headwind (nominally 0 deg wind-over-deck). The mean velocity field shows a clear structure to the flow, dominated by a recirculation region in the near-wake of a hangar-like backward-facing step. The location of this primary vortex and the reattachment point on the flight deck are estimated. Reynolds stresses are presented to quantify the turbulent fluctuations, which are required for the prediction of unsteady loading on rotorcraft operating in this environment. Significant anisotropy is measured in the wake, both within the primary vortex and in the far field. The peak Reynolds shear stress is located in the recirculation region, while the streamwise normal stress is found to increase with height throughout the measurement domain. Finally, autoand two-point velocity correlations from the flight deck provide an estimate of flow scales, showing the potential influence of turbulence on piloted helicopter operations.