Miracle-dz/UniFAR-FTUs huggingface dataset:
Novice Female Exercisers Exhibited Different Biomechanical Loading Profiles during Full-Squat and Half-Squat Practice

Simple Summary This study adapted a customized OpenSim model aiming to analyze the loadings difference between full-squat and half-squat in novice females. The joint moment and joint angle of the hip, knee, and ankle increase significantly in the full-squat, which might increase the risks of potential injury. In the case of training, the cohort of young females could perform half-squat practice when muscle strength is insufficient. This study may present implications for the design of novice strength training programs and the formulation of rehabilitation plans. Abstract Background: Females with different practice experience may show different body postures and movement patterns while squatting in different depths, which may lead to changes of biomechanical loadings and increase the risks of injuries. Methods: Sixteen novice female participants without squat training experience participated in this study. A 3D motion capture system was used to collect the marker trajectory and ground reaction force data during bodyweight squatting in different depths. The participants’ kinematic data and joint moment were calculated using OpenSim’s inverse kinematics and inverse dynamics algorithm. In this study, authors adapted a model especially developed for squatting and customized the knee joint with extra Degree-of-Freedom (DoF) in the coronal and horizontal plane with adduction/abduction and internal/external rotation. A paired-sample t-test was used to analyze the difference of joint range of motions (ROM) and peak moments between full-squat (F-SQ) and half-squat (H-SQ). One-Dimensional Statistical Parametric Mapping (SPM1D) is used to analyze the difference of joint angle and moment between the process of squatting F-SQ and H-SQ. Results: (1) Compared with H-SQ, F-SQ showed larger ROM in sagittal, coronal, and transverse planes (p < 0.05). (2) SPM1D found that the difference in joint angles and joint moments between F-SQ and H-SQ was mainly concentrated in the mid-stance during squatting, which suggested the difference is greatly pronounced during deeper squat. (3) Peak hip extension moment, knee extension moment, hip adduction moment, and plantar flexion moment of F-SQ were significantly higher than H-SQ (p < 0.05). (4) Difference of hip and knee extension moments and rotation moments between the F-SQ and H-SQ were exhibited during descending and ascending. Conclusions: The study found that novice women had larger range of joint motion during the F-SQ than H-SQ group, and knee valgus was observed during squatting to the deepest point. Greater joint moment was found during F-SQ and reached a peak during ascending after squatting to the deepest point. Novice women may have better movement control during H-SQ. The findings may provide implications for the selection of lower limb strength training programs, assist the scientific development of training movements, and provide reference for squat movement correction, thus reducing the risk of injury for novice women in squatting practice.
Metabolic Syndrome and Psychological Effects of Exercise in Hemodialysis Patients

Metabolic syndrome (MS) and anxiety disorders are common problems among hemodialysis patients (HD). However, there have been no studies defining the role of physical activity in reducing anxiety in HD patients with MS. This study was aimed to determine the effects on the severity of anxiety of a four-week rehabilitation program for HD patients, with or without metabolic syndrome (MS), planned and adapted to their abilities. The study was single-center, interventional, non-randomized, and prospective. Fifty-eight individuals completed the project (28 HD patients and 30 controls (C) with normal kidney function). Each group was divided into two subgroups with respect to MS. The mean age of the subjects in the HD and C groups was 56.9 ± 13.3 years (x¯ ± SD) and 61.5 ± 8.3 years (x¯ ± SD), respectively. Planned and adapted to the patient’s abilities, the rehabilitation program based on physiotherapy was provided to each subject for 4 weeks. Baseline and post-intervention determined anxiety levels using the State-Trait Anxiety Inventory (STAI). The X1 scale tests state anxiety, and the X2 scale tests trait anxiety. Post-intervention, there was no significant difference in the intensity of state anxiety observed in HD patients compared to C with normal renal function, as observed before the program. After four weeks of regular physical activity planned and adapted to the patient’s abilities in an inpatient ward, the level of state anxiety (X1) and trait anxiety (X2) lowered considerably in all HD patients (respectively: 35.1 ± 8.0 vs. 29.2 ± 5.0, p = 0.001 for X1 and 41.8 ± 9.1 vs. 38.1 ± 5.9, p = 0.008 for X2). The rehabilitation program significantly reduced the intensity of state anxiety (X1) in HD patients with MS (35.8 ± 7.9 vs. 29.2 ± 5.1; p = 0.01). The rehabilitation program helped to significantly reduce the intensity of trait anxiety (X2) in HD patients without MS (41.9 ± 10.7 vs. 36.9 ± 5.9; p = 0.04). Four-week physical activity planned and adapted to the patient’s abilities reduces the intensity of anxiety in HD patients and controls with normal renal function. HD patients with MS benefit more in terms of reducing perceived state anxiety, and HD patients without MS in terms of reducing trait anxiety.
Influence of plant oils and metals on exopolysaccharide production by Fomitopsis feei

Effect of ten types of plant oils and 11 types of minerals in the form of chlorides were tested on the production of exopolysaccharides from Fomitopsis feei in common production broth medium. Groundnut oil among the plant oils and sodium chloride among the minerals showed a positive effect on the production of exopolysaccharides from Fomitopsis feei. Thus, it creates a scientific basis to explore the exopolysaccharide effectively from F. feei, hence this medicinal mushroom will be effectively exploited in the future.
Surface Immobilization of TiO2 Nanotubes with Bone Morphogenetic Protein-2 Synergistically Enhances Initial Preosteoblast Adhesion and Osseointegration

Although titanium (Ti) alloys have been widely used as implant materials, the bioinertness of pristine Ti impairs their bioactivity and early osseointegration. In the present work, we prepared TiO2 nanotubes (TNT) layer on the titanium (Ti) surface by anodic oxidation. The anodized surface was functionalized with human bone morphogenetic protein-2 coating to form the hBMP-2/TNT surface. The release behavior of hBMP-2 on the hBMP-2/TNT surface displayed a controlled and sustained pattern, compared to that on the hBMP-2/Ti surface, which showed a rapid release. In vitro cellular activity tests demonstrated that both TNT and hBMP-2/Ti surfaces, particularly the hBMP-2/TNT surface, enhanced adhesion, proliferation, and differentiation of osteoblast cells. Increased cell adhesion, improved cytoskeleton organization, and immunofluorescence staining of vinculin were observed on the modified surfaces. The TNT, hBMP-2/Ti, and hBMP-2/TNT surfaces, especially the hBMP-2/TNT surface, further displayed an upregulated gene expression of adhesion and osteogenic markers vinculin, collagen type 1, osteopontin, and osteocalcin, compared to the pristine Ti surface. In vivo experiments using a rat model demonstrated that the TNT and hBMP-2/Ti surfaces, in particular the hBMP-2/TNT surface, improved osseointegration and showed a superior bone bonding ability compared to Ti. Our study revealed a synergistic role played by TiO2 nanotubes nanotopography and hBMP-2 in promoting initial osteoblast adhesion, proliferation, differentiation, and osseointegration, thus suggesting a promising method for better modifying the implant surface.
A Review on Nanocarriers Third Generation As Targeted Delivery Systems for Cancer Therapy

Cancer is a leading cause of death worldwide. Currently available therapies are inadequate and spur demand for improved technologies. Nanomaterials are at the cutting edge of the rapidly developing area of nanotechnology. The potential for nanoparticles in cancer drug delivery is infinite with novel new applications constantly being explored. Targeted nanoparticles play a very significant role in cancer drug delivery. The promising implications of these platforms for advances in cancer diagnostics and therapeutics form the basis of this review. Targeted delivery systems of nano biomaterials are necessary to be developed for the diagnosis and treatment of cancer. Nano-based pharmaceuticals, or nanomedicines,” are engineered to either function as a drug or carry a drug while addressing these scientific challenges due to their nano-size. Keywords: Nanomaterials, nanomedicines, Targeted delivery
Do Not Predict – Recompute! How Value Recomputation Can Truly Boost the Performance of Invisible Speculation

Recent architectural approaches that address speculative side-channel attacks aim to prevent software from exposing the microarchitectural state changes of transient execution. The Delay-on-Miss technique is one such approach, which simply delays loads that miss in the L1 cache until they become non-speculative, resulting in no transient changes in the memory hierarchy. However, this costs performance, prompting the use of value prediction (VP) to regain some of the delay.However, the problem cannot be solved by simply introducing a new kind of speculation (value prediction). Value-predicted loads have to be validated, which cannot be commenced until the load becomes non-speculative. Thus, value-predicted loads occupy the same amount of precious core resources (e.g., reorder buffer entries) as Delay-on-Miss. The end result is that VP only yields marginal benefits over Delay-on-Miss.In this paper, our insight is that we can achieve the same goal as VP (increasing performance by providing the value of loads that miss) without incurring its negative side-effect (delaying the release of precious resources), if we can safely, non-speculatively, recompute a value in isolation (without being seen from the outside), so that we do not expose any information by transferring such a value via the memory hierarchy. Value Recomputation, which trades computation for data transfer was previously proposed in an entirely different context: to reduce energy-expensive data transfers in the memory hierarchy. In this paper, we demonstrate the potential of value recomputation in relation to the Delay-on-Miss approach of hiding speculation, discuss the trade-offs, and show that we can achieve the same level of security, reaching 93% of the unsecured baseline performance (5% higher than Delay-on-miss), and exceeding (by 3%) what even an oracular (100% accuracy and coverage) value predictor could do.
Distributed Redundant Placement for Microservice-based Applications at the Edge

Multi-access edge computing (MEC) is booming as a promising paradigm to push the computation and communication resources from cloud to the network edge to provide services and to perform computations. With container technologies, mobile devices with small memory footprint can run composite microservice-based applications without time-consuming backbone. Service placement at the edge is of importance to put MEC from theory into practice. However, current state-of-the-art research does not sufficiently take the composite property of services into consideration. Besides, although Kubernetes has certain abilities to heal container failures, high availability cannot be ensured due to heterogeneity and variability of edge sites. To deal with these problems, we propose a distributed redundant placement framework SAA-RP and a GA-based Server Selection (GASS) algorithm for microservice-based applications with sequential combinatorial structure. We formulate a stochastic optimization problem with the uncertainty of microservice request considered, and then decide for each microservice, how it should be deployed and with how many instances as well as on which edge sites to place them. Benchmark policies are implemented in two scenarios, where redundancy is allowed and not, respectively. Numerical results based on a real-world dataset verify that GASS significantly outperforms all the benchmark policies.
Antiproliferative Activity of two compounds isolated from Artemisia sieberi

This study described the isolation and structure elucidation of secondary metabolites from,Artimisiasieberi (Asteraceae), known for its therapeutic and medicinal properties, it was used in both traditional and modern medicine.Artimisiasieberiwas collected at the flowering stage. Dried aerial parts were powdered and subjected to different chromatographic methods of extraction followed by different methods of purification through normal phase and reversed phase chromatography, eg. column chromatography (CC) and high performance liquid chromatography (HPLC), respectively.Phytochemical investigation of A. sieberiafforded a 3α,8βdihydroxygermacr-4(15),9-dien-6α,7β,11αH,12,6-olide (1) and a flavonoid 3'-hydroxygenkwanin (2). The structures of the compounds were elucidated by means of spectroscopic analyses, including (EI-MS and 1D /2D NMR) techniques.Cytotoxic effects of these two known compounds were examined against, three different human cancer cell lines, MCF-7 (breast), HCT116 (colon) and HepG-2 (liver). Viability was assessed by the standard colorimetric assay using the tetrazolium, 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide (MTT) and can be regarded as an potent source of lead compounds in drugs development to combat cancer.
Magnetoelectric Effects in Complex Oxides with Competing Ground States

The drive to develop materials with new multifunctional capabilities has rekindled interest in multiferroics—systems which are characterized by the simultaneous presence of, and coupling between, magnetic and electric order parameters. In naturally occurring multiferroics the magnetoelectric coupling is often weak, and new classes of artificially structured composite materials that combine dissimilar magnetic and ferroelectric systems are being developed to optimize order parameter coupling. [1–6] Here, we describe direct, charge-mediated magnetoelectric coupling in a heterogeneous multiferroic that takes advantage of the sensitivity of a strongly correlated magnetic system to competing electronic ground states. Using magneto-optic Kerr effect magnetometry, we observe large magnetoelectric coupling in ferroelectric/lanthanum manganite heterostructures, including electric field-controlled on/off switching of magnetism. These results open a new vista for the development of novel magnetoelectric devices with large charge coupling between electric and magnetic degrees of freedom. Doped lanthanum manganites are complex oxides characterized by a strong interplay between electron transport, magnetism, and crystal lattice distortions, leading to a rich variety of electronic behavior, including magnetic and charge-ordered states, colossal magnetoresistance (CMR), and a diversity of electron transport behavior. Underlying the competition between these ground states is the prominent role of charge in double exchange, hopping, and orbital overlap. [7,8] To date, controlling charge as a parameter has most often been achieved using chemical doping, which is robust, and permanent. An alternative approach to
Natural-killer cell ligands at the maternal – fetal interface : UL-16 binding proteins , MHC class-I chain related molecules , HLA-F and CD 48

BACKGROUND: In the early stages of human placentation, the decidua is invaded by fetal extravillous trophoblast (EVT) cells. Interactions between EVT cells and local decidual leukocytes are likely to contribute to immunological accommodation of the semi-allogeneic fetus. METHODS AND RESULTS: Natural-killer group 2 member D (NKG2D) and 2B4 (CD244) are receptors ubiquitously expressed by the distinctive population of CD56 bright, uterine natural-killer cells, which dominate the decidua at the time of implantation. Here, we investigate the UL-16 binding protein (ULBP) and MHC class-I chain related molecule (MIC) ligands of NKG2D, the CD48 ligand of 2B4 and the non-classical HLA class-I molecule, HLA-F, at the maternal–fetal interface of normal pregnancies. For many of these molecules, significant mRNA expression was detected by RT-PCR in decidual and placental tissue throughout gestation. Flow cytometry of isolated cells or immunohistological staining of implantation site sections was then performed. No protein expression of NKG2D ligands or HLA-F could be detected in decidual leukocytes or fetal trophoblast cells from the first trimester. An NKG2D-Fc fusion protein identified no novel ligands for this promiscuous receptor at the maternal–fetal interface. Strong surface protein expression of CD48 by decidual leukocytes but not by trophoblast cells was detected by flow cytometry. Histological staining showed a clear aggregation of CD48 cells around transformed spiral arteries of the implantation site. CONCLUSIONS: We conclude that the role of NKG2D and 2B4 is not focussed on trophoblast recognition in normal pregnancy, but is more likely involved in cross-talk among maternal cells of the placental bed.
His name is Socrates because that ’ s what he ’ s called : A model-theoretic account of name-bearing

The notion of name-bearing, and its relation to the use of proper names to refer to individuals, has long remained mysterious in linguistics. In the present paper, I provide a novel semantics for proper names as variable expressions that enforce restrictions on their syntactic indexation, in order to give a precise model-theoretic definition of name-bearing that explicitly depends on the notion of reference to individuals using proper names.
Chia (Salvia hispanica L.) a Promising Alternative for Conventional and Gelled Emulsions: Technological and Lipid Structural Characteristics

Chia (Salvia hispanica L.) is an oilseed plant which contains proteins of high biological value and other healthy components with interesting technological properties. For these reasons, chia could be a promising option for the formation and stabilization of oil-in-water emulsions. The aim of this study is to evaluate the potential of chia protein (from chia flour) in the formation of emulsions. To that end, composition and technological and structural properties determined by infrared spectroscopy were investigated in conventional (EC) and gelled (EGC) emulsions with chia and compared with their corresponding soy protein emulsions with the same protein content [conventional (ES) or gelled (EGS)] used as reference. All emulsions containing chia had better fat and water binding properties than those elaborated with soy protein isolate (SPI). The color of the emulsions varied significantly depending on whether the emulsions were made with chia or SPI. EGS and EGC exhibited the greatest (p < 0.05) penetration force values, being EGC the firmest (p < 0.05). Depending on the type of emulsion, Attenuated Total Reflectance (ATR)-FTIR Spectroscopy revealed differences in their lipid structure and interaction in terms of lipid acyl chain mobility (order/disorder) and emulsion droplet size. These structural characteristics could be related to the textural behavior of emulsions.
Laplace-transform deep-level spectroscopy: the technique and its applications to the study of point defects in semiconductors

We present a comprehensive review of implementation and application of Laplace deep-leve1 transient spectroscopy (LDLTS). The various approaches that have been used previously for high-resolution DLTS are outlined and a detailed description is given of the preferred LDLTS method using Tikhonov regularization. The fundamental limitations are considered in relation to signal-to-noise ratios associated with the measurement and compared with what can be achieved in practice. The experimental requirements are discussed and state of the art performance quantified. The review then considers what has been achieved in terms of measurement and understanding of deep states in semiconductors through the use of LDLTS. Examples are given of the characterization of deep levels with very similar energies and emission rates and the extent to which LDLTS can be used to separate their properties. Within this context the factors causing inhomogeneous broadening of the carrier emission rate are considered. The higher resoluti.
Revisiting debt-led and export-led growth models: a sectoral balances approach

In this paper, we revisit the macroeconomic foundations and political economy of national growth models. We challenge the Kaleckian framework underpinning the emergent growth model literature in comparative political economy, which focuses primarily on the functional income distribution (wages versus profits), while ignoring personal income distribution (inequality across private households). Using the examples of the "export-led" and "debt-led" growth models of Germany and the United States, we show how institutional differences can help explain why different countries developed different patterns of income distribution and how income distribution and institutions interacted to generate financial imbalances in different sectors of the economy (i.e., the private household sector, the private corporate sector, and the government sector).
Chapter 5. Biodiversity

The concept of biodiversity refers to (1) the number of different types of natural ecological regions (ecoregions), (2) the number of native species within each ecoregion, and (3) the genetic variation within species (Janetos et al. 2008, Siikamaki 2008). For example, within the United States, vertebrate species richness naturally tends to be highest in southern areas and decreases with seasonally harsh winters in the north. Large states with boundaries that encompass a diverse array of ecosystems tend to contain a greater number of species than small homogeneous states. For this reason, Texas is second only to California in number of total species (Siikamaki 2008, TEP 2008). Genetic aspects of biodiversity are illustrated by the global hotspot of endemism found in the isolated springs and cave systems of the Edwards Plateau, a natural legacy unique to Texas. Twelve major natural regions (ecoregions) are currently recognized within Texas (Figure 5.1), ranging from deserts to prairies and pine forests, from mountains to coastal marshes (Griffith et al. 2007). Within each ecoregion, the landscape is further subdivided into different vegetation types that correspond to variations in land and water features. This biologically diverse landscape represents a “natural living library” for scientists tracking the changes associated with climate change. Across the continent, the effects of climate