Miracle-dz/UniFAR-FTUs huggingface dataset:
What’s love got to do with it? Investigating consumer commitment in health care

ABSTRACT Building relationships with patients to create patient-centered care is critical to the success of health care organizations. A core element in relationships is commitment. Commitment may be based on affect and emotions, perceived costs, and even obligation. This research proposes that three types of commitment—affective, continuance, and normative commitment—differentially impact consumer purchase loyalty, attitudinal loyalty, and advocacy for a health care provider. To examine the impact of commitment type on consumer relationships, exploratory data were garnered and surveys were administered. Findings are discussed and implications for health care marketing managers in developing successful relationships with consumers are delineated.
Development and validation of a questionnaire measuring factors associated with physical activity in adolescents

OBJECTIVES: to develop a questionnaire to measure factors associated with physical activity (PA) in adolescents and analyze its reliability and validity. METHODS: a total of 248 adolescents from 14 to 19 years old took part in this study. The factors associated with PA measured were: attitude, self-efficacy, social support of PA and perceived environment. Cronbach's alpha (α) and intraclass correlation coefficients (ICC) were used to test reliability, and exploratory factor analysis to evaluate validity. RESULTS: attitude was measured as a single factor (attitude: α=0.76, ICC=0.89); self-efficacy consisted of two factors: resources for PA (α=0.76, ICC=0.75) and social support and motives for engaging in PA (α=0.76, ICC=0.67); social support was measured as two factors: support for PA from friends (α=0.90, ICC=0.89) and support for PA from parents (α= 0.81, ICC=0.91); and the environment was measured as three factors: access to and attractiveness of places to engage in PA (α=0.69, ICC=0.82), security/safety when engaging in PA (α=0.73, ICC=0.67), and general infrastructure of the neighborhood (α=0.70, ICC=0.75). CONCLUSIONS: the questionnaire exhibited satisfactory validity and reliability and can be recommended for studies investigating adolescents.
Hyaluronan-CD44-ERK1/2 Regulate Human Aortic Smooth Muscle Cell Motility during Aging*

The glycosaminoglycan hyaluronan (HA) modulates cell proliferation and migration, and it is involved in several human vascular pathologies including atherosclerosis and vascular restenosis. During intima layer thickening, HA increases dramatically in the neointima extracellular matrix. Aging is one of the major risk factors for the insurgence of vascular diseases, in which smooth muscle cells (SMCs) play a role by determining neointima formation through their migration and proliferation. Therefore, we established an in vitro aging model consisting of sequential passages of human aortic smooth muscle cells (AoSMCs). Comparing young and aged cells, we found that, during the aging process in vitro,HA synthesis significantly increases, as do HA synthetic enzymes (i.e. HAS2 and HAS3), the precursor synthetic enzyme (UDP-glucose dehydrogenase), and the HA receptor CD44. In aged cells, we also observed increased CD44 signaling that consisted of higher levels of phosphorylated MAP kinase ERK1/2. Further, aged AoSMCs migrated faster than young cells, and such migration could be modulated by HA, which alters the ERK1/2 phosphorylation. HA oligosaccharides of 6.8 kDa and an anti-CD44 blocking antibody prevented ERK1/2 phosphorylation and inhibited AoSMCs migration. These results indicate that, during aging, HA can modulate cell migration involving CD44-mediated signaling through ERK1/2. These data suggest that age-related HA accumulation could promote SMC migration and intima thickening during vascular neointima formation.
Clinical Importance of a Cytokine Network in Major Burns

ABSTRACT Major burns elicit an acute inflammatory response including various inflammatory cytokines. Cytokines play mutual interacting roles in inflammatory diseases. There is little evidence of the clinical significance of the cytokine network in patients with major burns. This study aimed to investigate the clinical significance of the cytokine network in patients with major burn. This prospective observational study comprising 38 patients with major burns (total body surface area (%TBSA) ≥ 20%) and 12 healthy controls was conducted from April 2014 to December 2016. Blood samples were collected from patients at six points: day 1, day 2, days 3–5, 1 week, 2 weeks, and 1 month after the burn injury. Inflammatory cytokines (interferon [IFN]-&agr;, IFN-&ggr;, interleukin [IL]-1&bgr;, IL-6, IL-8, IL-12/IL-23p40, IL-17A, monocyte chemotactic protein-1 [MCP-1], TNF-&agr;), and anti-inflammatory cytokines (IL-4, IL-10) were measured. Twenty-eight-day mortality, %TBSA, prognostic burn index (PBI) and Sequential Organ Failure Assessment (SOFA), and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were evaluated. Hierarchical clustering analysis and network visualization showed one cluster and network, respectively. Both were formed by four cytokines including IL-6, IL-8, IL-10, and MCP-1 on days 1 and 2, suggesting the presence of a cytokine network in the early hospital phase. Each cytokine showed significant associations with the SOFA score within 5 days and 1 month after burn injury. Cox regression analysis highlighting days 1 and 2 showed significant correlation of IL-6, IL-8, and IL-10 with 28-day mortality. We showed a cytokine network and its relation with prognosis and injury severity on days 1 and 2 and suggest that this cytokine network may play a role in major burns.
Synthesis of an Intumescent Flame Retardant (IFR) Agent and Application in a Natural Rubber (NR) System

This investigation focuses on the synthesis and characterization of an intumescent flame-retardant (IFR) agent. Three steps are used in the synthesis process. Meanwhile, the structure is characterized by Fourier transform infrared spectroscopy (FTIR), magic-angle spinning nuclear magnetic resonance (MAS-NMR) 13C spectroscopy, and elemental analysis. The addition of this IFR agent in a natural rubber (NR) system leads to an improvement in its flame-retardant (FR) properties. The second part focuses on the evaluation of some characteristics such as FR property, thermal stability, cure characteristics, and tensile properties of IFR/NR systems.
Intracortical microstimulation of human somatosensory cortex

Tactile percepts were consistently elicited in the hand of a person with cervical spinal cord injury using intracortical microstimulation of the somatosensory cortex. A sense of touch Touch is essential for hand use. Yet, brain-controlled prosthetic limbs have not been endowed with this critical sense. In a new study by Flesher et al., microelectrode arrays were implanted into the primary somatosensory cortex of a person with spinal cord injury and, by delivering current through the electrodes, generated sensations of touch that were perceived as coming from his own paralyzed hand. These sensations often felt like pressure, could be graded in intensity, and were stable for months. The authors suggest that this approach could be used to convey information about contact location and pressure necessary for prosthetic hands to interact with objects. Intracortical microstimulation of the somatosensory cortex offers the potential for creating a sensory neuroprosthesis to restore tactile sensation. Whereas animal studies have suggested that both cutaneous and proprioceptive percepts can be evoked using this approach, the perceptual quality of the stimuli cannot be measured in these experiments. We show that microstimulation within the hand area of the somatosensory cortex of a person with long-term spinal cord injury evokes tactile sensations perceived as originating from locations on the hand and that cortical stimulation sites are organized according to expected somatotopic principles. Many of these percepts exhibit naturalistic characteristics (including feelings of pressure), can be evoked at low stimulation amplitudes, and remain stable for months. Further, modulating the stimulus amplitude grades the perceptual intensity of the stimuli, suggesting that intracortical microstimulation could be used to convey information about the contact location and pressure necessary to perform dexterous hand movements associated with object manipulation.
Prediction of leakage current peak value

The characteristics of leakage current (LC) have been widely used to study the relation between the contamination level, the peak value of LC and flashover in outdoor insulator. In this paper, a feed forward nonlinear autoregressive artificial neural network (ANN) model has been trained to predict the LC peak value from the past data history of LC peak time series. The applied voltage, the fog conductivity and the length of each insulator were varied during data collection phase to monitor and record the change in LC peak developing on the insulator surface over different environmental conditions. The ANN was then trained and tested using the collected data under variable conditions. The results have shown that as the average peak of LC changes with time intervals, the contamination accumulation on the insulator surface followed a similar trend and hence the instantaneous peak of the LC is a good measure of contamination accumulation on the insulator surface. The proposed ANN model can be used to predict the future peak value of LC for one full hour and hence can be used to alert the utility's engineer of any critical condition before it happens.
A COL11A2 Mutation in Labrador Retrievers with Mild Disproportionate Dwarfism

We describe a mild form of disproportionate dwarfism in Labrador Retrievers, which is not associated with any obvious health problems such as secondary arthrosis. We designate this phenotype as skeletal dysplasia 2 (SD2). It is inherited as a monogenic autosomal recessive trait with incomplete penetrance primarily in working lines of the Labrador Retriever breed. Using 23 cases and 37 controls we mapped the causative mutation by genome-wide association and homozygosity mapping to a 4.44 Mb interval on chromosome 12. We re-sequenced the genome of one affected dog at 30x coverage and detected 92 non-synonymous variants in the critical interval. Only two of these variants, located in the lymphotoxin A (LTA) and collagen alpha-2(XI) chain gene (COL11A2), respectively, were perfectly associated with the trait. Previously described COL11A2 variants in humans or mice lead to skeletal dysplasias and/or deafness. The dog variant associated with disproportionate dwarfism, COL11A2:c.143G>C or p.R48P, probably has only a minor effect on collagen XI function, which might explain the comparatively mild phenotype seen in our study. The identification of this candidate causative mutation thus widens the known phenotypic spectrum of COL11A2 mutations. We speculate that non-pathogenic COL11A2 variants might even contribute to the heritable variation in height.
Real-Time 3-D Facial Animation: From Appearance to Internal Articulators

A real-time 3-D facial animation system produces animation for appearance and internal articulators. For appearance, an anatomical model, including the skeleton, muscle, and skin, is built based on anatomical characteristics and a data-driven model is obtained by learning the mapping between texture and depth. Then, the two models are combined to produce animations with various strengths, since the anatomical model can control the animation strength directly and the data-driven model can capture the nuances of facial motion. For internal articulators, tongue tissue arrangements are obtained from medical data. Then, a nonlinear, quasi-incompressible, isotropic, hyperelastic biomechanical model is applied to describe tongue tissues and an anisotropic biomechanical model is applied to reflect the active and passive mechanical behavior of tongue muscle fibers. The tongue animation is simulated using the finite-element method for realism, while the collisions between the tongue and other articulators are simulated with a mass-spring model for efficiency. Experiments show that the system achieves high perceptual evaluation scores and quantitative improvements are demonstrated in the objective evaluation and user studies, compared with the outputs of other systems.
Ortho-Mode Sub-THz Interconnect Channel for Planar Chip-to-Chip Communications

This paper presents for the first time the design, fabrication, and demonstration of a dielectric waveguide (DWG)-based ortho-mode sub-THz interconnect channel for planar chip-to-chip communications. By combining the proposed new transition of microstrip line with DWG orthogonally, the ortho-mode transition is constructed to form an ortho-mode channel. The measured minimum insertion losses for the <inline-formula> <tex-math notation="LaTeX">$E_{y11}$ </tex-math></inline-formula> mode and the <inline-formula> <tex-math notation="LaTeX">$E_{x11}$ </tex-math></inline-formula> mode are 6.6 dB with 20.3-GHz 3-dB bandwidth and 6.5 dB with 55.2-GHz 3-dB bandwidth, respectively. The simulation and measurement results agree well with each other.
HIV-1 Vpu Downmodulates ICAM-1 Expression, Resulting in Decreased Killing of Infected CD4+ T Cells by NK Cells

ABSTRACT HIV-1 Vpu is known to alter the expression of numerous cell surface molecules. Given the ever-increasing list of Vpu targets identified to date, we undertook a proteomic screen to discover novel cell membrane proteins modulated by this viral protein. Plasma membrane proteome isolates from Vpu-inducible T cells were subjected to stable isotope labeling of amino acids in cell culture (SILAC)-based mass spectrometry analysis, and putative targets were validated by infection of primary CD4+ T cells. We report here that while intercellular adhesion molecule 1 (ICAM-1) and ICAM-3 are upregulated by HIV-1 infection, expression of Vpu offsets this increase by downregulating these molecules from the cell surface. Specifically, we show that Vpu is sufficient to downregulate and deplete ICAM-1 in a manner requiring the Vpu transmembrane domain and a dual-serine (S52/S56) motif necessary for recruitment of the beta-transducin repeat-containing E3 ubiquitin protein ligase (β-TrCP) component of the Skp, Cullin, F-box (SCFβ-TrCP) E3 ubiquitin ligase. Vpu interacts with ICAM-1 to induce its proteasomal degradation. Interestingly, the E3 ubiquitin ligase component β-TrCP-1 is dispensable for ICAM-1 surface downregulation yet is necessary for ICAM-1 degradation. Functionally, Vpu-mediated ICAM-1 downregulation lowers packaging of this adhesion molecule into virions, resulting in decreased infectivity. Importantly, while Vpu-mediated downregulation of ICAM-3 has a limited effect on the conjugation of NK cells to HIV-1-infected CD4+ T cells, downregulation of ICAM-1 by Vpu results in a reduced ability of NK cells to bind and kill infected T cells. Vpu-mediated ICAM-1 downregulation may therefore represent an evolutionary compromise in viral fitness by impeding the formation of cell-to-cell contacts between immune cells and infected T cells at the cost of decreased virion infectivity. IMPORTANCE The major barrier to eradicating HIV-1 infection is the establishment of treatment-resistant reservoirs early in infection. Vpu-mediated ICAM-1 downregulation may contribute to the evasion of cell-mediated immunity during acute infection to promote viral dissemination and the development of viral reservoirs. By aiding the immune system to clear infection prior to the development of reservoirs, novel treatments designed to disrupt Vpu-mediated ICAM-1 downregulation may be beneficial during acute infection or as a prophylactic treatment.
enchmark for molecular machine learning †

Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine learning algorithms to make increasingly accurate predictions about molecular properties. However, algorithmic progress has been limited due to the lack of a standard benchmark to compare the efficacy of proposed methods; most new algorithms are benchmarked on different datasets making it challenging to gauge the quality of proposed methods. This work introduces MoleculeNet, a large scale benchmark for molecular machine learning. MoleculeNet curates multiple public datasets, establishes metrics for evaluation, and offers high quality open-source implementations of multiple previously proposed molecular featurization and learning algorithms (released as part of the DeepChem open source library). MoleculeNet benchmarks demonstrate that learnable representations are powerful tools for molecular machine learning and broadly offer the best performance. However, this result comes with caveats. Learnable representations still struggle to deal with complex tasks under data scarcity and highly imbalanced classification. For quantum mechanical and biophysical datasets, the use of physics-aware featurizations can be more important than choice of particular learning algorithm.
Description of a New Subfamily, Astrocloninae (Ophiuroidea: Euryalida: Gorgonocephalidae), Based on Molecular Phylogeny and Morphological Observations

Previous phylogenetic studies of the family Gorgonocephalidae (brittle stars and basket stars) have identified three subfamilies, Astrotominae, Astrothamninae, and Gorgonocephalinae. The genus Astroclon was tentatively assigned to the subfamily Astrothamninae in previous studies, but its morphology is enigmatic and molecular data of the genus was insufficient. Therefore, the systematic position of Astroclon required confirmation to reconstruct the accurate systematics of the Euryalida. In the present study, we sought to clarify the subfamilial classification in the family Gorgonocephalidae (Echinodermata: Ophiuroidea: Euryalida). We revisited molecular phylogenetics of the Gorgonocephalidae including Astroclon and the major taxa in the family. The molecular analysis supported monophyly of the two species of Astroclon and its clear separation from Astrothamninae. The two Astroclon species were also distinguished from the other two subfamilies, Astrotominae and Gorgonocephalinae. Astroclon and three other subfamilies were divided in the basal position of the Gorgonocephalidae, and were assigned to subfamilies. A new subfamily, Astrocloninae was monotypically established for Astroclon in addition to the previous three subfamilies. Morphology of the first ventral arm plates and tentacle pores also supported distinctiveness of the new subfamily.
Effect of Carbohydrate Source and Cottonseed Meal Level in the Concentrate on Feed Intake, Nutrient Digestibility, Rumen Fermentation and Microbial Protein Synthesis in Swamp Buffaloes

The objective of this study was to investigate the effect of carbohydrate source and cottonseed meal level in the concentrate on feed intake, nutrient digestibility, rumen fermentation and microbial protein synthesis in swamp buffaloes. Four, 4-yr old rumen fistulated swamp buffaloes were randomly assigned to receive four dietary treatments according to a 2×2 factorial arrangement in a 4×4 Latin square design. Factor A was carbohydrate source; cassava chip (CC) and CC+rice bran at a ratio 3:1 (CR3:1), and factor B was level of cottonseed meal (CM); 109 g CP/kg (LCM) and 328 g CP/kg (HCM) in isonitrogenous diets (490 g CP/kg). Buffaloes received urea-treated rice straw ad libitum and supplemented with 5 g concentrate/kg BW. It was found that carbohydrate source did not affect feed intake, nutrient intake, digested nutrients, nutrient digestibility, ammonia nitrogen concentration, fungi and bacterial populations, or microbial protein synthesis (p>0.05). Ruminal pH at 6 h after feeding and the population of protozoa at 4 h after feeding were higher when buffalo were fed with CC than in the CR3:1 treatment (p<0.05). Buffalo fed with HCM had a lower roughage intake, nutrient intake, population of total viable and cellulolytic bacteria and microbial nitrogen supply than the LCM fed group (p<0.05). However, nutrient digestibility, ruminal pH, ammonia concentration, population of protozoa and fungi, and efficiency of microbial protein synthesis were not affected by cottonseed meal levels (p>0.05). Based on this experiment, concentrate with a low level of cottonseed meal could be fed with cassava chips as an energy source in swamp buffalo receiving rice straw.
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a "low complexity projection" of the universal context modeling paradigm, matching its modeling unit to a simple coding unit. By combining simplicity with the compression potential of context models, the algorithm "enjoys the best of both worlds. " It is based on a simple fixed context model, which approaches the capability of the more complex universal techniques for capturing high-order dependencies. The model is tuned for efficient performance in conjunction with an extended family of Golomb-type codes, which are adaptively chosen, and an embedded alphabet extension for coding of low-entropy image regions. LOCO-I attains compression ratios similar or superior to those obtained with state-of-the-art schemes based on arithmetic coding. Moreover, it is within a few percentage points of the best available compression ratios, at a much lower complexity level. We discuss the principles underlying the design of LOCO-I, and its standardization into JPEC-LS.
Analytical modeling and preliminary fractional order velocity control of a small scale submersible

This paper presents the modeling and control of a small scale submersible equipped with one propeller. The modeling process takes into consideration physical elements such as fluid statics, viscous damping and propulsive thrust. A first order transfer function with time delay is developed to make the connection between the voltage applied to the motor actuating the propeller and the velocity of the submersible. The velocity control is realized with a Fractional Order Proportional Integral (FOPI) controller that ensures zero steady state error. The controller is designed based on frequency domain specifications such as gain crossover frequency, phase margin and robustness to gain variations. The obtained fractional controller is validated through simulation in terms of steady state error and disturbance rejection performance.
Numerical Optimization and Practical Implementation of the Tube Extrusion Process of Mg Alloys with Micromechanical Analysis of the Final Product

The paper is devoted to the development of a process of tubes extrusion from MgCa08 magnesium alloy. For optimization of extrusion process the Qform software was used. The numerical model of flow stress and fracture criterion for MgCa08 were obtained based on tension/compression measurements performed in a universal testing machine Zwick Z250. Predictions of the flow stress and deformations were modeled as well as the ductility of material. The process was optimized according to the plasticity and temperature criterions. In the optimization process, temperature of the billet and the speed of extrusion were determined. Based on the optimal parameters the extrusion of tubes with external diameter of 5 mm was performed in the laboratory press. On top of the macroscopic testing and calculations, investigations of the material microstructure and the micromechanical behavior of the material after the extrusion were performed by a combination of SEM and nanoindentation analyses. Micromechanical properties of the alloy were detected with the aid of statistical nanoindentation. Samples were characterized in terms of their microstructural defects, distribution of elastic modulus and hardness. Good particle dispersion and homogeneous-like distribution of micromechanical properties was found showing the efficiency of the extrusion process.