Miracle-dz/UniFAR-FTUs huggingface dataset:
POWER OUTPUT IN WOMEN WEIGHTLIFTERS DURING THE PULL PHASE OF THE SNATCH

The purpose of this study was to determine and describe the power outputs in the snatch lift during the pull phase for American women competing in the national championships. Ten female lifters in the 69 kg class were filmed and analyzed using a Peak5 2D Motion Analysis. Power output values were based on calculations of total work done by the athlete divided by the time (Garhammer, 1993). The total power output values varied from 1095.54 W to 1875.90 W. These values were comparable to figures reported by Garhammer, 1991. Knowing power production values may be important in developing specific types of training programs.
Temperature dependent performance of coplanar waveguide (CPW) on substrates of various materials

This paper presents the attenuation (/spl alpha/) and effective dielectric constant (/spl epsisub eff/) of coplanar waveguide (CPW) transmission lines on high-resistivity silicon and diamond substrates as a function of both temperature and frequency. The technique used to obtain the values for /spl alpha/ and /spl epsisub eff/ involves the use of a unique cryogenic probe station designed and build by NASA. Attenuation of gold CPW lines on diamond substrates is compared with that of superconducting CPW lines. <<ETX>>
Modelagem e simulação distribuída de sistema produtivo baseados em rede de Petri

Based on the existing computational capability and disperse infrastructure of some productive systems, there are interest for distributed modeling and simulation of these systems. These techniques are considered fundamental for design, implementation and performance improvement of productive systems. The approach is the simulation through the use of computers physically dispersed but integrated via a communication network to evaluate the behavior of systems still in conception level and also to improve the performance of existing plants. This work proposes a procedure for modeling of productive systems in distributed environment. This procedure was applied to case studies to confirm it effectiveness. The work includes an algorithm for the management of the distributed simulation. With the modeling method and the management algorithm we have the main elements for the practical implementation of the disperse productive system simulator.
Resources in Logistics - A Multidisciplinary Challenge

Abstract Logistics is an essential part of business and supply chains. It connects continents, enterprises and commerce on different levels. Resources in logistics are a core factor on all levels and have been under research in many disciplines and sciences. Multidisciplinary nature of logistics has highlighted the unforeseen and overlooked resources in individual constituents of intricate logistic processes. Understanding and addressing them as resources by themselves is an important step towards increasing efficiency of logistics processes. This paper is a collective effort of different research approaches and methodologies applied in logistics to share knowledge via a multidisciplinary view on efficient use and management of resources.
BALLU2: A Safe and Affordable Buoyancy Assisted Biped

This work presents the first full disclosure of BALLU, Buoyancy Assisted Lightweight Legged Unit, and describes the advantages and challenges of its concept, the hardware design of a new implementation (BALLU2), a motion analysis, and a data-driven walking controller. BALLU is a robot that never falls down due to the buoyancy provided by a set of helium balloons attached to the lightweight body, which solves many issues that hinder current robots from operating close to humans. The advantages gained also lead to the platform’s distinct difficulties caused by severe nonlinearities and external forces such as buoyancy and drag. The paper describes the nonconventional characteristics of BALLU as a legged robot and then gives an analysis of its unique behavior. Based on the analysis, a data-driven approach is proposed to achieve non-teleoperated walking: a statistical process using Spearman Correlation Coefficient is proposed to form low-dimensional state vectors from the simulation data, and an artificial neural network-based controller is trained on the same data. The controller is tested both on simulation and on real-world hardware. Its performance is assessed by observing the robot’s limit cycles and trajectories in the Cartesian coordinate. The controller generates periodic walking sequences in simulation as well as on the real-world robot even without additional transfer learning. It is also shown that the controller can deal with unseen conditions during the training phase. The resulting behavior not only shows the robustness of the controller but also implies that the proposed statistical process effectively extracts a state vector that is low-dimensional yet contains the essential information of the high-dimensional dynamics of BALLU’s walking.
FIDOE: A Framework for Intelligent Distributed Ontologies in Engineering

This paper presents FIDOE , a F ramework for I ntelligent D istributed O ntologies in E ngineering. FIDOE consists of a suite of logic rules and templates for interactively developing relationships between properties of linked ontologies. The logical rules embedded in FIDOE automatically operate on various discipline-specific ontologies to systematically identify influences, direct and indirect, of proposed design modifications on other aspects of the design through common domain concepts. Once potential influences are identified, FIDOE enables the user to precisely define the domain relationships, using predefined templates, between the identified domain concepts that enumerate influence types. This tool, thus, provides a pervasive, real time awareness of the implications of design changes during the design process in a distributed environment. The application of FIDOE to distributed and multidisciplinary design problems is detailed with the aid of an industry-provided printed circuit board (PCB) design. Here, commonalities among indirectly connected domain ontologies (electrical, mechanical and thermal domains) are identified using the developed query method and subsequent relationships are defined. These relationships are then applied to provide a collaborative understanding and awareness of the distributed process, all while demonstrating the effectiveness of this approach. This awareness was successfully able to address some previously identified industry concerns, returning promising results while laying a solid foundation for future work.Copyright © 2008 by ASME
Preimplantation Genetic Diagnosis for DEB by Detecting a Novel Family-Specific COL7A1 Mutation in Vietnam

Background Epidermolysis bullosa (EB) is a disorder characterized by the appearance of blisters, erosions and wounds in response to minimal trauma. The disease manifests with noticeable symptoms ranging from mild to severe, classified into four major types: epidermolysis bullosa simplex (EBS), junctional epidermolysis bullosa (JEB), dystrophic epidermolysis bullosa (DEB) and Kindler syndrome. Preimplantation genetic diagnosis for the disease remains the only available option for families at risk for the recurrence of the disorder without having to terminate an ongoing pregnancy. Materials and Methods A novel COL7A1 mutation was used to design primers for the polymerase chain reaction (PCR) to amplify the segment spanning the mutation in the family and their in-vitro fertilization (IVF) embryos. Then, the PCR products were sequenced with Sanger sequencing to detect the alteration in the allele, and some embryos would go through NGS-based preimplantation screening for chromosomal abnormalities. Results The established protocol for EB detected mutant allele in 6/9 embryos (66.6%), while the remaining 3 embryos (33.4%) appeared to not carry any mutation. Only one among 3 embryos was recommended to be transferred into the mother’s uterus. Conclusion The established preimplantation genetic diagnosis procedure is helpful to families affected by epidermolysis bullosa caused by COL7A1 mutations but wish to have healthy children.
Nonlinear Ultrasonic Nondestructive Evaluation of Damaged Concrete Based on Embedded Piezoelectric Sensors

ABSTRACT We studied the acoustic signal responses of the concrete in undamaged and damaged conditions and different depths of sensors embedded in the concrete. The acoustic signal responses of the concrete under different applied loads were analyzed by using time domain waveform and frequency domain spectra. The results showed that the change of the ultrasonic wave amplitude was sensitive to the crack of the concrete surface at the microscopic level when the depth of sensors embedded in the concrete was 20 mm. The first pulse amplitude level, the peak-to-peak value, and the third harmonic amplitude reduced by 5%, 20%, and 35%, respectively, when the applied load to concrete was 10 N·mm−2. When the sensors were embedded in concrete with a depth of 60 mm and applied with various loadings, via analyzing the acoustic signals, the internal cracks and extensive damage of concrete were detected. When the applied loading reached 35 N·mm−2 and the maximum value, the peak-to-peak values of waveform were reduced by 15% and 60%, respectively. In addition, the harmonic ratios () considerably increased with increasing applied loadings.
Prediction accuracy of no-history intraocular lens formulas for a diffractive extended depth-of-focus intraocular lens after myopic corneal refractive surgery

The Barrett TKNH, minimum, Triple-S, and SToP (SRK/T) formulas performed best in calculating EDoF IOLs in post-LASIK/PRK eyes longer than 25.0 mm. The Barrett TKNH and SToP (SRK/T) formulas are recommended when AL ≥28 mm. Purpose: To compare the accuracy of intraocular lens (IOL) calculation methods for extended depth-of-focus (EDoF) IOLs in eyes with a history of myopic laser-assisted in situ keratomileusis (LASIK)/photorefractive keratectomy (PRK) surgery lacking historical data. Setting: Changsha Aier Eye Hospital, Changsha, and Wuhan Aier Eye Hospital, Wuhan, China. Design: Retrospective case series. Methods: Patients with axial lengths (ALs) ≥25.0 mm and a history of myopic LASIK/PRK surgery who underwent cataract surgery with implantation of EDoF IOLs were enrolled. A comparison was performed of the accuracy of 10 IOL methods lacking historical data, including Barrett True-K no history (Barrett TKNH), Haigis-L, Shammas, and Potvin-Hill formulas and average, minimum, and maximum IOL power on the ASCRS online postrefractive IOL calculator; Seitz/Speicher/Savini (Triple-S) formula; and Schuster/Schanzlin-Thomas-Purcell (SToP) formulas based on Holladay 1 and SRK/T formulas. IOL power was calculated with the abovementioned methods in 2 groups according to AL (Group 1: 25.0 mm ≤ AL < 28.0 mm and Group 2: AL ≥ 28.0 mm). Results: 64 eyes were included. Excellent outcomes were achieved with the minimum, Barrett TKNH, SToP (SRK/T), and Triple-S formulas in the whole sample and subgroups, which led to similar median absolute error, mean absolute error, and the percentage of eyes with a prediction error within ±0.5 diopters (D). In the whole sample, the Haigis-L and maximum formulas had a significantly higher absolute error than minimum, SToP (SRK/T), and Barrett TKNH formulas. The maximum formula also had a significantly lower percentage of eyes within ±0.5 D than the Barrett TKNH, and SToP (SRK/T) formulas (15.6% vs 50% and 51.5%, all P < .05 with Bonferroni adjustment). Conclusions: Predicting the EDoF IOL power in postmyopic refractive eyes by no-history IOL formulas remains challenging. The Barrett TKNH, Triple-S, minimum, and SToP (SRK/T) formulas achieved the best accuracy when AL ≥ 25.0 mm, while the Barrett TKNH and SToP (SRK/T) formulas were recommended when AL ≥ 28.0 mm.
Application of the Rigid Finite Element Method for Modelling an Offshore Pedestal Crane

In oﬀshore pedestal cranes one may distinguish three components of considerable length: a pedestal, a boom and a frame present in some designs. It is often necessary in dynamical analyses to take into account their ﬂexibility. A convenient and eﬃcient method for modelling them is the rigid ﬁnite element method in a modiﬁed form. The rigid ﬁnite element method allows us to take into account the ﬂexibility of the beam system in selected directions while introducing a relatively small number of additional degrees of freedom to the system. This paper presents a method for modelling the pedestal, the frame and the boom of an oﬀshore col-umn crane, treating each of these components in a slightly diﬀerent way. A custom approach is applied to the pedestal, using rigid ﬁnite elements of variable length. Results of sample numeric computations are included.
Overmolding of Hybrid Long and Short Carbon Fiber Polypropylene Composite: Optimizing Processing Parameters

Injection overmolding was used to produce hybrid unidirectional continuous-short carbon fiber reinforced polypropylene. Polypropylene pellets containing short carbon fibers were melted and overmolded on unidirectional carbon fibers, which act as the core of the composite structure. Four factors were varied in this study: fiber pretension applied to unidirectional fibers, injection pressure, melting temperature, and backpressure used for melting and injecting the composite pellet. This study aimed to evaluate the effect of these factors on fiber volume fraction, flexural strength, and impact strength of the hybrid composite. The relationship between factors and responses was analyzed using Box–Behnken Response Surface Methodology (RSM) and analysis of variance (ANOVA). Each aspect was divided into three levels. There were 27 experimental runs carried out, with three replicated center points. The results showed that the injection molding process parameters had no significant effect on the fiber’s volume fraction. On the other hand, melting temperature and fiber pretension significantly affected impact strength and flexural strength.
Clinical Pharmacology Perspectives for Adoptive Cell Therapies in Oncology

Adoptive cell therapies (ACTs) have shown transformative efficacy in oncology with five US Food and Drug Administration (FDA) approvals for chimeric antigen receptor (CAR) T‐cell therapies in hematological malignancies, and promising activity for T cell receptor T‐cell therapies in both liquid and solid tumors. Clinical pharmacology can play a pivotal role in optimizing ACTs, aided by modeling and simulation toolboxes and deep understanding of the underlying biological and immunological processes. Close collaboration and multilevel data integration across functions, including chemistry, manufacturing, and control, biomarkers, bioanalytical, and clinical science and safety teams will be critical to ACT development. As ACT is comprised of alive, polyfunctional, and heterogeneous immune cells, its overall physicochemical and pharmacological property is vastly different from other platforms/modalities, such as small molecule and protein therapeutics. In this review, we first describe the unique kinetics of T cells and the appropriate bioanalytical strategies to characterize cellular kinetics. We then assess the distinct aspects of clinical pharmacology for ACTs in comparison to traditional small molecule and protein therapeutics. Additionally, we provide a review for the five FDA‐approved CAR T‐cell therapies and summarize their properties, cellular kinetic characteristics, dose‐exposure‐response relationship, and potential baseline factors/variables in product, patient, and regimen that may affect the safety and efficacy. Finally, we probe into existing empirical and mechanistic quantitative techniques to understand how various modeling and simulation approaches can support clinical pharmacology strategy and propose key considerations to be incorporated and explored in future models.
Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering

Artificial intelligence techniques are at the centre of a major shift in business today. They have a very broad array of applications within businesses, including that of optimisation for risk reduction in civil engineering projects. This is an active area of research, which has started to see real-world applications over the last few decades. It is still hindered by the extreme complexity of civil engineering problems and the computing power necessary to tackle these, but the economic and other benefits of these emerging technologies are too important to ignore. With that in mind, this chapter reviews the current state of research and real-world practice of optimisation techniques and artificial intelligence in risk reduction in this field. It also examines related promising techniques and their future potential.
Cutting-edge therapies in the treatment of surgical wounds

Wounds are inherent to being alive and also a reminder of our fragility in the face of the hostilities of this planet. Annually, it is estimated that 4511 operations are performed per 100,000 population, or 1 surgical procedure every year for every 22 people. There is an art to treating wounds. The support by the doctor for wound healing favors the early recovery of this, in addition to minimizing the risk of infection and gives an aesthetically pleasing appearance, the care that is used today ranging from the cleaning of the wound, the approximation of the edges thanks to the sutures, etc. The following is a review of cutting-edge therapies in this area of medicine, such as biotechnologies, growth factors, gene therapy, and stem cells. Projections indicate an increasing decrease in morbidity and mortality associated with surgical wounds and their repair, as well as more favorable cosmetic outcomes for patients. The results showed that all the described techniques, although not perfect, are perfectible, and with the pertinent precautions can be maximized in favor of care. There is the possibility in the near future, to be a basic part of wound care, in terms of protocols of care, but also in the individualization of treatment.
Erythrocytes increase endogenous sphingosine 1-phosphate levels as an adaptive response to SARS-CoV-2 infection

Abstract Low plasma levels of the signaling lipid metabolite sphingosine 1-phosphate (S1P) are associated with disrupted endothelial cell (EC) barriers, lymphopenia and reduced responsivity to hypoxia. Total S1P levels were also reduced in 23 critically ill patients with coronavirus disease 2019 (COVID-19), and the two main S1P carriers, serum albumin (SA) and high-density lipoprotein (HDL) were dramatically low. Surprisingly, we observed a carrier-changing shift from SA to HDL, which probably prevented an even further drop in S1P levels. Furthermore, intracellular S1P levels in red blood cells (RBCs) were significantly increased in COVID-19 patients compared with healthy controls due to up-regulation of S1P producing sphingosine kinase 1 and down-regulation of S1P degrading lyase expression. Cell culture experiments supported increased sphingosine kinase activity and unchanged S1P release from RBC stores of COVID-19 patients. These observations suggest adaptive mechanisms for maintenance of the vasculature and immunity as well as prevention of tissue hypoxia in COVID-19 patients.
Does the clozapine/norclozapine ratio predict cognitive performance in patients with clozapine-resistant schizophrenia?

Australian & New Zealand Journal of Psychiatry, 56(7) visuospatial abnormalities and clockdrawing. A repeat MRI brain demonstrated a non-enhancing T2/fluid attenuated inversion recovery (FLAIR) hyperintensity within the central pons, consistent with a diagnosis of central pontine myelinosis (CPM) (Figure 1). Olanzapine and escitalopram were commenced and she was discharged Figure 1. T2 MRI non-enhancing hyperintensity within the central pons.
Frailty and sociodemographic and health factors, and social support network in the brazilian elderly: A longitudinal study

ABSTRACT Objective: To identify and analyze the sociodemographic and health factors and the social support network of the elderly associated with frailty in the assessments carried out between 2007/2008 and 2018. Methods: This is a longitudinal study with elderly people aged ≥65 years living in the community. The instruments used were those for Demographic Profile, the Mini Mental State Examination, the Functional Independence Measure, Lawton and Brody Scale, Geriatric Depression Scale, Minimum Relationship Map for the Elderly, and Edmonton Frail Scale. Descriptive analysis and linear regression were used, all tests with p < 0.05. Results: Of the 189 elderly in the study period (2007/2008–2018), most were 80 years old and over, with an average of 82.31 years old; they were women, with no partner, who lived with other family members and were retired. In the final analysis, regardless of age and sex, a decrease in functional independence, an increase in depressive symptoms, an increase in the number of self-reported illnesses, and an increase in the frailty score were observed. Conclusion: The factors that were associated with the increase in frailty of the elderly during the study period were age, female sex, and no partner. The health team, which includes nurses, shall be aware of changes and develop care plans to prevent or avoid their progression.
Nonlinear finite element analysis of reinforced concrete columns: Evaluation of different modeling approaches for considering stirrup confinement effects

The present study aimed to introduce an accurate modeling strategy for the three‐dimensional (3D) nonlinear finite element analysis of reinforced concrete (RC) columns considering the effects of the stirrup confinement. For this purpose, concrete columns with different geometric characteristics and various reinforcement details whose experimental test data are available, were analyzed using the finite element method. The concrete damaged plasticity (CDP) was used to model the nonlinear behavior of the concrete material in the compression and the tension. The ideal elastic–plastic constitutive law was utilized for modeling the behavior of longitudinal and transverse rebars. Through comparing the experimental data and numerical results, the effect of various parameters, such as the type of stress–strain relationships used for modeling the behavior of confined concrete and the type of element used to model the stirrups, were evaluated. Additionally, the sensitivity of numerical results against the CDP model parameters (i.e., the viscosity parameter, the flow potential eccentricity, the dilation angle, the ratio of biaxial compressive strength to its uniaxial compressive strength, and the ratio of the second stress invariant on the tensile meridian) were investigated. The results show that the presence and modeling of stirrups in the RC columns alone are not enough for capturing the effects of concrete confinement. The use of beam elements instead of truss elements for modeling the stirrups as well as the use of Vallenas stress–strain relations for modeling the uniaxial behavior confined concrete, leads to numerical results that are more close to the experimental data.