Miracle-dz/UniFAR-FTUs huggingface dataset:
The Timing of Thigh Muscle Activity Is a Factor Limiting Performance in the Deceleration Phase of the 100-m Dash

ABSTRACT Purpose We aimed to examine the timing of electromyography activity of the rectus femoris (RF) and biceps femoris (BF) in both legs, as well as spatiotemporal variables (running speed (RS), step frequency (SF), step length (SL)) between the maximal speed (Max) phase (50–70 m) and the deceleration (Dec) phase (80–100 m) of the 100-m dash. Methods Nine track and field athletes performed the 100-m dash with maximal effort. Spatiotemporal variables of each 10-m section were measured. A portable wireless data logger was attached to the subject’s lower back to record electromyographies. We calculated onset/offset timing (%) of RF and BF in both legs using a Teager–Kaiser Energy Operator filter (e.g., ipsilateral leg RF onset is “iRF-onset,” contralateral leg BF onset is “cBF-onset”) in a running cycle. Results The decreased RS in the Dec phase (P < 0.001) was due to a decreased SF (P < 0.001). Moreover, iRF-onset (P = 0.002), iRF-offset (P = 0.008), iBF-offset (P = 0.049), and cBF-offset (P = 0.017) in the Dec phase lagged in the running cycle as compared with the Max phase. Furthermore, the time difference between the swing leg RF activity (iRF-onset) and the contact leg BF activity (cBF-onset; “Scissors1”) became bigger in the Dec phase (P = 0.041). Significant negative correlations were found between ΔiRF-onset and ΔSF (P = 0.045), and between ΔiBF-offset and ΔSF (P = 0.036). Conclusions The decreased RS and SF in the Dec phase of the 100-m dash would be the delayed timing of the RF and BF activities in the same leg as well as the disturbed interleg muscular coordination.
Semiparametric Bayesian Joint Modeling with Applications in Toxicological Risk Assessment

Many dose-response studies collect data on correlated outcomes. For example, in developmental toxicity studies, uterine weight and presence of malformed pups are measured on the same dam. Joint modeling can result in more efficient inferences than independent models for each outcome. Most methods for joint modeling assume standard parametric response distributions. However, in toxicity studies, it is possible that response distributions vary in location and shape with dose, which may not be easily captured by standard models. To address this issue, we propose a semiparametric Bayesian joint model for a binary and continuous response. In our model, a kernel stick-breaking process (KSBP) prior is assigned to the distribution of a random effect shared across outcomes, which allows flexible changes in distribution shape with dose shared across outcomes. The model also includes outcome-specific fixed effects to allow different location effects. Joint modeling is also common for clustered data in many biomedical studies (e.g., pups within litters, patients within hospitals). Many authors have shown that joint modeling can effectively improve statistical power in studies involving clustered data. We extend the model to allow for clustered data by combining the nested DP model with the KSBP model. A nested KSBP prior is assigned to the distribution of a random effect shared across outcomes, which allows simultaneous grouping of clusters and subjects within clusters, and flexible changes in distribution shape with
Non-Cooperative SAR Automatic Target Recognition Based on Scattering Centers Models

This article proposes an Automatic Target Recognition (ATR) algorithm to classify non-cooperative targets in Synthetic Aperture Radar (SAR) images. The scarcity or nonexistence of measured SAR data demands that classification algorithms rely only on synthetic data for training purposes. Based on a model represented by the set of scattering centers extracted from purely synthetic data, the proposed algorithm generates hypotheses for the set of scattering centers extracted from the target under test belonging to each class. A Goodness of Fit test is considered to verify each hypothesis, where the Likelihood Ratio Test is modified by a scattering center-weighting function common to both the model and target. Some algorithm variations are assessed for scattering center extraction and hypothesis generation and verification. The proposed solution is the first model-based classification algorithm to address the recently released Synthetic and Measured Paired Labeled Experiment (SAMPLE) dataset on a 100% synthetic training data basis. As a result, an accuracy of 91.30% in a 10-target test within a class experiment under Standard Operating Conditions (SOCs) was obtained. The algorithm was also pioneered in testing the SAMPLE dataset in Extend Operating Conditions (EOCs), assuming noise contamination and different target configurations. The proposed algorithm was shown to be robust for SNRs greater than −5 dB.
Novel schemes to generate multi-level modulation formats for ultra-capacity coherent detection transmission systems

We summarize several novel schemes to generate multi-level modulation formats for high capacity transmission system with high spectral efficiency. We show that multi-level 8QAM, 16QAM, 32QAM, and 64QAM (QAM: quatlrature amplitude modulation) optical signals can be generated by commercial optical and electrical devices. Employing these multilevel modulation formats, we have realized PDM-8QAM (PDM: polarization division multiplexing) 32 Tb/s and PDM-36QAM 64-Tb/s signals transmission over 580- and 320-km fibers, respectively.
Prospective Longitudinal Characterization of the Relationship between Diabetes and Cardiac Structural and Functional Changes

Objectives In a cohort of type 2 diabetic (T2D) patients who underwent baseline cardiac magnetic resonance (CMR) and biomarker testing, during a median follow-up of 6 years, we aimed to determine longitudinal changes in the phenotypic expression of heart disease in diabetes, report clinical outcomes, and compare baseline clinical characteristics and CMR findings of patients who experienced major adverse cardiovascular events (MACE) to those remaining MACE free. Background T2D increases the risk of heart failure (HF) and cardiovascular mortality. The long-term impact of T2D on cardiac phenotype in the absence of cardiovascular disease and other clinical events is unknown. Methods Patients with T2D (n = 100) with no history of cardiovascular disease or hypertension were recruited at baseline. Biventricular volumes, function, and myocardial extracellular volume fraction (ECV) were assessed by CMR, and blood biomarkers were taken. Follow-up CMR was repeated in those without interim clinical events after 6 years. Results Follow-up was successful in 83 participants. Of those, 29 experienced cardiovascular/clinical events (36%). Of the remaining 59, 32 patients who experienced no events received follow-up CMR. In this cohort, despite no significant changes in blood pressure, weight, or glycated hemoglobin, significant reductions in biventricular end-diastolic volumes and ejection fractions occurred over time. The mean ECV was unchanged. Baseline plasma high-sensitivity cardiac troponin T (hs-cTnT) was significantly associated with a change in left ventricular (LV) ejection fraction. Patients who experienced MACE had higher LV mass and greater LV concentricity than those who remained event free. Conclusions T2D results in reductions in biventricular size and systolic function over time even in the absence of cardiovascular/clinical events.
The Influence of Technology, Organization and Environment on Firm Performance by ERP Assimilation

1 This Article is Part of a Doctoral Dissertation in Title “The Influence of Technology-Organization-Environment (TOE) on Firm Performance by ERP Cycle Implementation” 2 PhD Student, Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, Pathum Thani, 12110, Thailand 3 Asst. Prof. Dr., Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, Pathum Thani, 12110, Thailand 4 Assoc. Prof. Dr., Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, Pathum Thani, 12110, Thailand 1 บุทค์วามเร่�องนี�เป็็นส่วนหน่�งของดีุษฎีีนิพนธ์์เร่�อง “อิทธิ์พลิของเทค์โนโลิยีี-องค์์กร-สภาพแวดีลิ้อม ตุ่อผลิการดีําเนินงานของ องค์์กรโดียีการป็รับุใช้วงจัรอีอาร์พี” 2 นักศ่กษาป็ริญญาเอก ค์ณัะบุริหารธ์ุรกิจั มหาวิทยีาลิัยีเทค์โนโลิยีีราชมงค์ลิธ์ัญบุุรี ป็ทุมธ์านี 12110 3 ผศ. ดีร. , ค์ณัะบุริหารธ์ุรกิจั มหาวิทยีาลิัยีเทค์โนโลิยีีราชมงค์ลิธ์ัญบุุรี ป็ทุมธ์านี 12110 3 รศ. ดีร. , ค์ณัะบุริหารธ์ุรกิจั มหาวิทยีาลิัยีเทค์โนโลิยีีราชมงค์ลิธ์ัญบุุรี ป็ทุมธ์านี 12110 * Corresponding author: E-mail address: natnarong@rmutt.ac. th (Received: September 23, 2020; Revised: February 19, 2021; Accepted: March 5, 2021)
The evolution of entrepreneurial learning

- Purpose The purpose of this paper is to present an evolutionary perspective on entrepreneurial learning, whilst also accounting for fundamental ecological processes, by focusing on the development of key recurring, knowledge components within nascent and growing small businesses. - Design/methodology/approach The paper relates key developments within the organizational evolution literature to research on entrepreneurial learning, with arguments presented in favor of adopting a multi‐level co‐evolutionary perspective that captures and explains hidden ecological process, such as niche‐construction. - Findings It is argued in the paper that such a multi‐level focus on key recurring knowledge components can shed new light on the process of entrepreneurial learning and lead to the cross‐fertilization of ideas across different domains of study, by offering researchers the opportunity to use the framework of variation‐selection‐retention to develop a multi‐level representation of organizational and entrepreneurial learning. - Originality/value Entrepreneurial learning viewed in this way, as a multi‐level struggle for survival amongst competing knowledge components, can provide entrepreneurs with a set of evolutionary heuristics as they re‐interpret their understanding of the evolution of their business.
THE FUNCTION TEST OF CANOE AND KAYAK STROKING BALANCE DEVICE

This purpose of the study was to develop a balance device to be used in canoe and kayak stroke biomechanics. The balance device could be an excellent instrument for talent identification, measurement and training. We design the size of the boat on the ergometer was the same as the competition boat (Figure1). The ergometer was designed to be the same as the competitive craft (canoe/kayak) under f1atwater conditions such that both sliding and rotational balance could be measured (Figure 2). In the past instruments used to assess balance (Wei-Hua Ho et aI., 2000); Plagenhoef, 1979) did not simulate real stroking in combination with seat-balance. Therefore, the function test of canoe and kayak stroke ergometer with balance device for simulation on water can solve the above problems.
The Immune-Centric Revolution in the Diabetic Foot: Monocytes and Lymphocytes Role in Wound Healing and Tissue Regeneration—A Narrative Review

Monocytes and lymphocytes play a key role in physiologic wound healing and might be involved in the impaired mechanisms observed in diabetes. Skin wound macrophages are represented by tissue resident macrophages and infiltrating peripheral blood recruited monocytes which play a leading role during the inflammatory phase of wound repair. The impaired transition of diabetic wound macrophages from pro-inflammatory M1 phenotypes to anti-inflammatory pro-regenerative M2 phenotypes might represent a key issue for impaired diabetic wound healing. This review will focus on the role of immune system cells in normal skin and diabetic wound repair. Furthermore, it will give an insight into therapy able to immuno-modulate wound healing processes toward to a regenerative anti-inflammatory fashion. Different approaches, such as cell therapy, exosome, and dermal substitute able to promote the M1 to M2 switch and able to positively influence healing processes in chronic wounds will be discussed.
A Mixed OFDM Downlink and Single Carrier Uplink for the 2-11 GHz Licensed Bands

The proposed mixed mode PHY standard shall allow implementation of WirelessMAN system based on P802.16a Single Carrier PHY (as defined in section 8.3) and OFDM PHY (as defined in 8.4) approach for WirelessMAN systems for licensed frequencies between 2 to 11 GHz. This approach will ensure to fully benefit from the features of each technology to make cost effective CPE with NLOS operation capability. The proposed PHY system adopts TDM/ TDMA bandwidth sharing scheme. The Downlink (DL) signal is transmitted from the Base Station to all assigned Subscriber Stations using a carrier frequency in broadcast Time Division Multiplex (TDM) with the OFDM method. The Uplink (UL) signal is burst from the Subscriber Station sharing the same RF carrier with other assigned Subscriber Stations to the Base Station in Time Division Multiple Access (TDMA) mode. This access scheme can be either FDD or TDD, strictly compliant with Section 8.3. 1.4 of P802.16a/D5 Both duplexing schemes have intrinsic advantages and disadvantages, so for a given application the optimum duplexing scheme to be applied depends on deployment-specific characteristics, i.e., bandwidth availability, Tx-toRx spacing, traffic models, and cost objectives.
Real-World Testing of the Self Grasping Hand, a Novel Adjustable Passive Prosthesis: A Single Group Pilot Study

(1) Background: This study investigated the feasibility of conducting a two-week “real-world” trial of the Self Grasping Hand (SGH), a novel 3D printed passive adjustable prosthesis for hand absence; (2) Methods: Single-group pilot study of nine adults with trans-radial limb absence; five used body-powered split-hooks, and four had passive cosmetic hands as their usual prosthesis. Data from activity monitors were used to measure wear time and bilateral activity. At the end of the two-week trial, function and satisfaction were measured using the Orthotics and Prosthetics Users’ Survey Function Scale (OPUS) and the prosthesis satisfaction sub-scales of the Trinity Amputations and Prosthesis Experience Scale (TAPES). Semi-structured interviews captured consumer feedback and suggestions for improvement; (3) Results: Average SGH wear time over 2 weeks was 17.5 h (10% of total prosthesis wear time) for split-hook users and 83.5 h (63% of total prosthesis wear time) for cosmetic hand users. Mean satisfaction was 5.2/10, and mean function score was 47.9/100; (4) Two-week real-world consumer testing of the SGH is feasible using the methods described. Future SGH designs need to be more robust with easier grasp lock/unlock.
Cross-layer design for wireless cooperative networks

Cooperative communications has been shown to be effective in combating fading in wireless channels. In order to realize the potential benefits promised by cooperative communications in practical wireless networks, careful cross-layer design is essential. In particular, investigations of the interactions among the physical, link, and network layers are critical in developing cooperation-enabled MAC or routing protocols. Recently, cross-layer design for cooperative networks has become a very active research area; many efficient and elegant cooperative networking techniques that provide significant performance gains have been proposed. Cooperation, however, also introduces new challenges, including increased overhead and interference, that must be addressed in order to efficiently implement cooperative networks. Although cooperation is promising in improving performance, it requires much more overhead to implement compared with conventional point-topoint communications. In addition, with cooperation, the interference environment will change; this means that new interference management techniques are required. In this dissertation, we focus on the overhead-performance trade-off and interference management for wireless cooperative networks. The overhead in implementing cooperation, particularly the overhead to estimate the channels, select the relay(s), and coordinate the transmissions, is investigated. Taking into account the overhead, the spectral and energy efficiencies of several different relaying schemes are studied. Through analyses and simulations, we demonstrate the impact of the overhead on these efficiencies, and provide guidelines for determining the appropriate cooperative scheme for specific applications.
NUTRIC Score Is Not Superior to mNUTRIC Score in Prediction of Mortality of COVID-19 Patients

Objectives The NUTRIC (nutrition risk in the critically ill) score and the modified NUTRIC score are two scoring systems that show the nutritional risk status and severity of acute disease of patients. The only difference between them is the examination of interleukin-6 (IL-6) level. The aim of this study was to investigate whether or not the NUTRIC score is superior to the mNUTRIC score in the prediction of mortality of patients with COVID-19 followed up in the Intensive Care Unit (ICU). Material and Method. This retrospective study included 322 patients followed up in ICU with a diagnosis of COVID-19. A record was made of demographic data, laboratory values, clinical results, and mortality status. All the data of the patients were compared between high and low variations of the NUTRIC score and the mNUTRIC score. Results A high NUTRIC score was determined in 62 patients and a high mNUTRIC score in 86 patients. The need for invasive mechanical ventilation, the use of vasopressors in ICU, the development of acute kidney injury, and mortality rates were statistically significantly higher in the patients with high NUTRIC and high mNUTRIC scores than in those with low scores (p = 0.0001 for all). The AUC values were 0.791 for high NUTRIC score and 0.786 for high mNUTRIC score (p = 0.0001 for both). No statistically significant difference was determined between the two scoring systems. Conclusion Although the NUTRIC score was seen to be superior to the mNUTRIC score, no statistically significant difference was determined. Therefore, when IL-6 cannot be examined, the mNUTRIC score can be considered safe and effective for the prediction of mortality in COVID-19 patients.
A Lightweight Tool Support for Integrated Software Measurement

This article shows a lightweight approach to implement a too l supported software measurement process. The basic idea here is to concentrate o n five relevant software measures and tie them on the elements of an implicitly giv en skeletal structure of the project. We show several ways to provide such a skeleta l structure for various types of software projects. Based on this skeletal structure the software measures to co llect can be defined in advance and independently of a concrete project. At projectruntime the entities to measure are automatically identified by means of the elemen ts of the skeletal structure. The computation of the software measures can the n be automated using Open Source tools.
Empowering Workers and Learners through a Combined Participatory Action Research and Research Justice Approach

The UCLA Labor Center used a combined participatory action research and research justice approach to study the challenges faced by workers and learners. Workers and learners are students who work while studying throughout their college careers. This research project has been carried out with the assistance of undergraduate students and college partners. We outline in detail the process we undertook to involve more than 500 students, beginning with the study design and ending with the dissemination of study results. We discuss the ways in which we, as researchers, were able to intentionally engage participants and honor their knowledge throughout the research process in order to advance policy reforms. This work entails of incorporating tenets of participatory action research (PAR) and Research Justice (RJ) to build the capacity of partners to produce knowledge. To this end, the work involves participants in every step of the knowledge lifecycle so that research across varying disciplines can impact education and employment policies that improve conditions for workers and learners in workplaces and universities and colleges.
The Interaction between Exercise and Marital Status on Depression: A Cross-Sectional Study of the Taiwan Biobank

Few studies evaluating the relationship between depression and exercise consider peoples’ socio-demographic characteristics. This cross-sectional study investigated the interaction between exercise and marital status and depression in Taiwanese adults. Data from the 2-item Patient Health Questionnaire (PHQ-2) was recruited from the Taiwan Biobank. Participants indicated their exercise status, showing 5015 no-exercise cases and 3407 exercise cases. Marital status, including unmarried, divorced or separated, and widowed, were all significant, especially among the no-exercise group. The relationship between exercise/no exercise and marital status was examined; no exercise and unmarried, divorced or separated, and widowed, as well as exercise and married were significant to PHQ-2. Gender was significant in both the married and unmarried groups. The association between exercise, marital status, gender, and education on PHQ-2 score was also significant. Married people, especially men, had lower depression scores. Additionally, exercise had a protective effect against depression for unmarried people, especially women.
Design and Implementation of FIR Filter Based on Wallace tree multiplier for high speed and Low Power Analysis

The most area and power consuming arithmetic operation in high-performance circuits like Finite Impulse Response (FIR), multiplication is one. There are different types of multipliers to reducing the cost and effective parameters in FIR filter design. Among those this paper use truncated multiplier and modified Wallace multiplier in the fir design. The structural adders and delay elements occupies more area and consumes power in this form so it was a reason to forward the proposed method. In prior FIR filters design with low cost effective results will done by the faithfully rounded truncated multipliers with the carry save additions. In MCMAT design the low cost FIR filters within the best area and power results are implement in this paper by using the improved truncated methods. Along with that the proposed method modified Wallace multiplier based fir filter is also designed in this paper to make the fir filter design is suitable for low power applications.
Effect of Silicon Carbide (SiC) on Stir Cast Aluminium Metal Matrix Hybrid Composites – A Review

Nowadays, the usage of metal matrix composites is increased in aero space, automotive, marine, electronic and manufacturing industries. Aluminum metal matrix composites have attained significant attention due to their good mechanical properties like strength, stiffness, abrasion and impact resistant, corrosion resistance. When compared to the conventional materials Aluminum Silicon Carbide (AlSiC) hybrid materials available in minimum cost. In the present study, based on the literature review, the individual Silicon Carbide with aluminum and combined influence of Silicon Carbide with graphite reinforcements Aluminium Metal Matrix Composites and Silicon Carbide with mica reinforcement Aluminum is studied. The monolithic composite materials are combined in different compositions by stir casting fabrication techniques, to produce composite materials. The literature review framework in this paper provides a clear overview of the usage of Graphite and Mica as a reinforcing agent in different composition matrices along with its distinctive performances.