Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Study on Bi-Axial Mechanical Properties of Warp-knitted Meshes with and without Initial Notches

Warp-knitted meshes have been widely used for structural reinforcement of rigid, semi-rigid, and flexible composite materials. In order to meet the performance requirements of different engineering applications, four typical warp-knitted meshes (rectangular, square, circular, and diamond) were designed and developed. The mechanical behaviors of these meshes under mono-axial and multi-axial tensile loads were compared. The influence of the initial notch length and orientation on the mechanical performance was also analyzed. The results showed that the biaxial tensile behavior of warp-knitted meshes tended to be more isotropic. The anisotropy level of the diamond warp-knitted mesh was the lowest (λ = 0.099), while the rectangular one was the highest (λ = 0.502). The notch on a significantly anisotropic mesh was propagated along the direction of larger modulus, while for a not remarkably anisotropic mesh, notch propagation was probably consistent with the initial notch orientation. The breaking strength of warp-knitted meshes with the same initial notch orientation decreased with the increase in notch length in both the wale and course directions. For warp-knitted meshes with the same initial notch length, the breaking strength in the wale direction was kept stable at different notch orientations, while that in the course direction decreased remarkably with notch orientation from 0° to 90°.
Thin-Feature-Aware Transport-Velocity Formulation for SPH-Based Liquid Animation

Realistic liquid animations with thin sheets or streams are crucial for creating fluid effects in digital media. However, it is challenging to simulate these appealing thin sheets or streams in the framework of smoothed particle hydrodynamics (SPH). The underlying reason for this challenge mainly lies in the inherent numerical instability of SPH due to inconsistent kernel interpolation, which is caused by the incomplete kernel support on the free surface and the particles’ disorder dispersion within the simulation domain. To address this challenge, we propose a novel and effective approach to ensure the consistency of kernel interpolation at both internal flow and the free surface during the simulation such that these thin features can always be well maintained. First, we introduce a transport-velocity formulation to alleviate the disorder dispersion in the liquid domain. However, this formulation can only work in the internal flow, and it fails at the free surface because it cannot accurately estimate the density of particles there. To this end, we propose adaptively correcting the underestimated density caused by the incomplete kernel support of free-surface particles, which are identified by a geometry-aware anisotropic kernel, to counteract the inconsistent interpolation on the free surface. Then, we propose a novel scheme to further filter the background pressure to enhance the interactions between the internal flow and the free surface, as well as liquid and solid, such that the thin features generated from such interactions can be realistically simulated. The proposed approach can also achieve anticlumping and regularization effects in the entire simulation domain and, hence, further enhance the thin features in liquids. We evaluate our method on a variety of benchmark examples, and the results demonstrate that our method can achieve more appealing visual effects than state-of-the-art methods by realistically simulating more vivid thin features.
Automated Extraction of Semantic Legal Metadata using Natural Language Processing

[Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis of legal requirements. [Objectives] Our work is motivated by two observations: (1) The existing requirements engineering (RE) literature does not provide a harmonized view on the semantic metadata types that are useful for legal requirements analysis. (2) Automated support for the extraction of semantic legal metadata is scarce, and further does not exploit the full potential of natural language processing (NLP). Our objective is to take steps toward addressing these limitations. [Methods] We review and reconcile the semantic legal metadata types proposed in RE. Subsequently, we conduct a qualitative study aimed at investigating how the identified metadata types can be extracted automatically. [Results and Conclusions] We propose (1) a harmonized conceptual model for the semantic metadata types pertinent to legal requirements analysis, and (2) automated extraction rules for these metadata types based on NLP. We evaluate the extraction rules through a case study. Our results indicate that the rules generate metadata annotations with high accuracy.
Young men’s minimisation of their body dissatisfaction

Abstract Objective: To examine men’s body dissatisfaction qualitatively. Design: Forty-two British men aged 18–45 years took part in a two-session group intervention across 12 groups. The intervention was designed to improve body dissatisfaction by engaging them in a critique of the appearance ideal through written and behavioural exercises. Main outcome measures/results: Analysis of the topics discussed during the intervention generated two core themes. Theme 1 showed that, in general, men minimised the existence of their own body dissatisfaction while (somewhat surprisingly) outlining the ubiquity and potency of the appearance ideal for men in general. Theme 2 involved men reporting the problematic impact of body dissatisfaction in their lives (despite earlier minimisation), such as social avoidance, strict eating and supplement regimes, or difficulty in situations where the body was exposed. Conclusion: The results stress the need to acknowledge that men experience a range of impacts of body dissatisfaction beyond clinical presentations (such as disordered eating) that influence their everyday lives, while also recognising that they tend to minimise this dissatisfaction in conversation. These findings have important implications for advocacy and interventions to improve men’s body dissatisfaction.
Automatic Detection of Computer Network Traffic Anomalies based on Eccentricity Analysis

In this paper, we propose an approach to automatic detection of attacks on computer networks using data that combine the traffic generated with ’live’ intra-cloud virtual-machine (VM) migration. The method used in this work is the recently introduced typicality and eccentricity data analytics (TEDA) framework. We compare the results of applying TEDA with the traditionally used methods such as statistical analysis, such as k-means clustering. One of the biggest challenges in computer network analysis using statistical or numerical methods is the fact that the protocols information is composed of integer/string values and, thus, not easy to handle by traditional pattern recognition methods that deal with real values. In this study we consider as features the tuple {IP source, IP destination, Port source and Port destination} extracted from the network flow data in addition to the traditionally used real values that represent the number of packets per time or quantity of bytes per time. Using entropy of the IP data helps to convert the integer raw data into real valued signatures. The proposed solution permit to build a real-time anomaly detection system and reduce the number of information that is necessary for evaluation. In general, the systems based on traffic are fast and are used in real time but they do not produce good results in attacks that produce a flow hidden within the background traffic or within a high traffic that is produced by other application. We validate our approach an a dataset which includes attacks on the network port scan (NPS) and network scan (NS) that permit hidden flow within the normal traffic and see this attacks together with live migration which produces a higher traffic flow.
Effects of clomiphene citrate for prevention of premature luteinizing hormone surge in those undergoing intrauterine insemination outcome: A randomized, double-blind, placebo-controlled trial

The objective of the study is to determine the effects of clomiphene citrate (CC) on preventing premature luteinizing hormone (LH) surge in infertile patients with polycystic ovary syndrome (PCOS) undergoing intrauterine insemination (IUI). This was a randomized clinical trial being performed at Shiraz Mother and Child Hospital. We included 162 women with PCOS selected for IUI cycles. Patients were randomly allocated to receive 150 mg/day CC from the 8th of the cycle though the day of human chorionic gonadotropin (hCG) injection (n = 81) or nothing in the same period (n = 81). Main outcomes included the incidence of premature LH surge, pregnancy rate, abortion and ongoing pregnancy rates, number of maturing follicles, and endometrial thickness. The incidence of premature LH surge was significantly lower in those who received CC (3.0% vs. 14.9%; P= 0.021). The pregnancy rate was 10 (15.1%) and 6 (8.9%) in CC and control groups, respectively (P = 0.342). The ongoing pregnancy rate found to be comparable between two study groups (12.1% vs. 5.9%; P= 0.068). Serum level of estradiol (E2) level at the time of hCG administration was significantly higher in those who were treated with CC when compared to control (1153.5 ± 326.4 vs. 943.2 ± 215.3; P < 0.001). Patients who received CC also had higher number of mature follicles >18 mm when compared to controls (3.85 ± 1.3 vs. 2.94 ± 1.01; P < 0.001). Administration of CC from the 8th day of the cycle to the day of hCG injection in combination with Gonal-f in infertile patients with CC-resistant PCOS undergoing IUI cycles is associated with decreased incidence of premature LH surge, higher E2levels, and higher number of mature ovarian follicles. This protocol is safe and simple and could be considered to be cost-effective.
Effects of Bilingualism on Verbal and Nonverbal Memory Measures in Mild Cognitive Impairment

Abstract Objectives: Maintaining two active languages may increase cognitive and brain reserve among bilingual individuals. We explored whether such a neuroprotective effect was manifested in the performance of memory tests for participants with amnestic mild cognitive impairment (aMCI). Methods: We compared 42 bilinguals to 25 monolinguals on verbal and nonverbal memory tests. We used: (a) the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), a sensitive test that taps into proactive, retroactive, and recovery from proactive semantic interference (verbal memory), and (b) the Benson Figure delayed recall (nonverbal memory). A subsample had volumetric MRI scans. Results: The bilingual group significantly outperformed the monolingual group on two LASSI-L cued recall measures (Cued A2 and Cued B2). A measure of maximum learning (Cued A2) showed a correlation with the volume of the left hippocampus in the bilingual group only. Cued B2 recall (sensitive to recovery from proactive semantic interference) was correlated with the volume of the hippocampus and the entorhinal cortex of both cerebral hemispheres in the bilingual group, as well as with the left and right hippocampus in the monolingual group. The memory advantage in bilinguals on these measures was associated with higher inhibitory control as measured by the Stroop Color-Word test. Conclusions: Our results demonstrated a superior performance of aMCI bilinguals over aMCI monolinguals on selected verbal memory tasks. This advantage was not observed in nonverbal memory. Superior memory performance of bilinguals over monolinguals suggests that bilinguals develop a different and perhaps more efficient semantic association system that influences verbal recall. (JINS, 2019, 25, 15–28)
Pharmacogenetic variants and response to neoadjuvant single-agent doxorubicin or docetaxel: a study in locally advanced breast cancer patients participating in the NCT00123929 phase 2 randomized trial

Objectives Taxanes and anthracyclines are widely used in the treatment of breast cancer, although the benefit is limited to a proportion of patients and predictive biomarkers for clinical outcome remain elusive. Patients and methods We carried out a pharmacogenetic study in 181 patients with locally advanced breast cancer enrolled in a phase 2 randomized clinical trial (NCT00123929), where patients were randomly assigned to receive neoadjuvant single-agent docetaxel 100 mg/m2 (n=84) or doxorubicin 75 mg/m2 (n=97). We studied the association of 226 single nucleotide polymorphisms (SNPs) in 15 key drug biotransformation genes with neoadjuvant pathological tumor response residual cancer burden index to docetaxel and to doxorubicin. Results We identified a significant association for rs162561, an intronic SNP located in the cytochrome P450 family 1 subfamily B member 1 (CYP1B1) gene, with tumor response in patients treated with single-agent docetaxel (dominant model: &bgr;=1.02, 95% confidence interval=0.49–1.55; P=1.77×10−4), and for rs717620, an SNP located in the promoter of the ATP-binding cassette subfamily C member 2 (ABCC2) gene, in patients treated with neoadjuvant doxorubicin (recessive model: &bgr;=1.67; 95% confidence interval=0.26–3.11; P=0.02). Conclusion We identified two polymorphisms in CYP1B1 and ABCC2 associated with tumor pathological response following docetaxel or doxorubicin neoadjuvant monotherapy, respectively. Although further validation is required, these variants could be potential predictive genetic markers for treatment outcome in breast cancer patients.
Effect of Alfacalcidol on Inflammatory markers and T Cell Subsets in Elderly with Frailty Syndrome: a Double Blind Randomized Controlled Trial.

BACKGROUND Alphacalcidol, a vitamin D analog, shows immune regulatory potency as it works on the macrophage and T cell to control inflammation and T cell dysregulation in elderly. None has been known about its effect on elderly with various states of frailty syndrome, which have different level of chronic low grade inflammation. This study aimed to determine the effect of alphacalcidol on inflammatory cytokines (IL-6, IL-10, g-IFN ) and T cell subsets (CD4/CD8 ratio and CD8+ CD28-) of elderly with various stages of frailty syndrome. METHODS from January to July 2017, a double blind randomized controlled trial (RCT) with allocation concealment, involving 110 elderly subjects from Geriatric Outpatient Clinic Cipto Mangunkusumo Hospital Jakarta, was conducted to measure the effect of 0.5 mcg alphacalcidol administration for 90 days to inflammatory cytokines (IL-6, IL-10, g-IFN) from PBMC culture supernatant, as well as CD4/CD8 and CD8+CD28- percentage using flow cytometry. Statistical analysis using SPSS version 20 was performed with t-test to measure mean difference. RESULTS of 110 subjects involved in the RCT consisting of 27 fit, 27 pre-frail and 56 frail elderly, 25(OH)D serum level was found to be as low as 25.59 (12.2) ng/ml in alphacalcidol group and 28.27 (10.4) ng/ml in placebo group. Alphacalcidol did not decrease IL-6 (p=0.4) and g- IFN (p=0.001), but it increased IL-10 (p=0,005) and decreased IL6/IL10 ratio (p=0.008). Alphacalcidol increased CD4/CD8 ratio from 2.68 (SD 2.45) to 3.2 (SD 2.9); p=0.001 and decreased CD8+ CD28- percentage from 5.1 (SD 3.96) to 2.5 (1.5); p<0.001. Sub group analysis showed similar patterns in all frailty states. CONCLUSION Alphacalcidol improves immune senescence by acting as anti-inflammatory agent through increased IL-10 and decreased IL6/IL-10 ratio and also improves cellular immunity through increased CD4/CD8 ratio and decreased CD8+ CD28- subset in elderly. This effect is not influenced by frailty state.
Forcing Single‐Column Models Using High‐Resolution Model Simulations

To use single‐column models (SCMs) as a research tool for parameterization development and process studies, the SCM must be supplied with realistic initial profiles, forcing fields, and boundary conditions. We propose a new technique for deriving these required profiles, motivated by the increase in number and scale of high‐resolution convection‐permitting simulations. We suggest that these high‐resolution simulations be coarse grained to the required resolution of an SCM, and thereby be used as a proxy for the true atmosphere. This paper describes the implementation of such a technique. We test the proposed methodology using high‐resolution data from the UK Met Office's Unified Model, with a resolution of 4 km, covering a large tropical domain. These data are coarse grained and used to drive the European Centre for Medium‐Range Weather Forecast's Integrated Forecasting System (IFS) SCM. The proposed method is evaluated by deriving IFS SCM forcing profiles from a consistent T639 IFS simulation. The SCM simulations track the global model, indicating a consistency between the estimated forcing fields and the true dynamical forcing in the global model. We demonstrate the benefits of selecting SCM forcing profiles from across a large domain, namely, robust statistics, and the ability to test the SCM over a range of boundary conditions. We also compare driving the SCM with the coarse‐grained data set to driving it using the European Centre for Medium‐Range Weather Forecast operational analysis. We conclude by highlighting the importance of understanding biases in the high‐resolution data set and suggest that our approach be used in combination with observationally derived forcing data sets.
Intraocular Photobonding to Enable Accommodating Intraocular Lens Function

Purpose Accommodating intraocular lenses (A-IOLs) require capturing the ciliary muscle forces. Prior work demonstrated strong photo-initiated bonding between strips of capsular bag and poly(2-hydroxyethyl methacrylate); (pHEMA) polymer in an extraocular setting. We demonstrate that photobonding can be achieved intraocularly. Methods Phacoemulsification was performed in porcine eyes (<24 hours postmortem). A commercial intraocular lens (IOL; pHEMA-MMA material) was inserted in the capsular bag. Surface contact between the lens and capsular bag was ensured by continuous air infusion into the anterior chamber of the eye, which provided sufficient pressure at the interface, as well as oxygen. The capsular bag and IOL then were stained with 0.1% photosensitizer Rose Bengal (RB) solution. A fiberoptic probe connected to a diode-laser (532 nm) was used to locally irradiate the capsular bag–IOL interface intraocularly. The bonding breaking load was evaluated in a uniaxial stretcher. Results Photobonding occurred in the 0.8 to 1.6 W/cm2 irradiance range and 2.5 to 7 minutes irradiation time. Average forces of 0.12 N stretched but did not break the bond. These forces, applied uniaxially, are higher than the summed net accommodating force of the ciliary muscle along the entire equator (0.08 N). In two cases, the zonulae broke before the bonded region. Conclusions Photobonding between the capsular bag and IOL polymer can be achieved intraocularly, in a procedure compatible with standard cataract surgery. This technique will enable the mechanisms of A-IOLs not to rely on capsular bag integrity or natural haptic fibrosis. Translational Relevance Intraocular photobonding holds promise to enable operation of A-IOLs to restore accommodation in presbyopia, affecting 100% of the population >45 years old. Intraocular bonding of polymer material to ocular tissue also may find other applications in ophthalmology.
Acousto-thermo-mechanical deformation of hydrogels coupled with chemical diffusion

We develop an acousto-thermo-mechanical theory for nonlinear (large) deformation of temperature-sensitive hydrogels subjected to temperature and ultrasonic inputs, with diffusion mass transport driven by osmotic pressure accounted for. On the basis of the strain energy due to network stretching, the mixing energy of polymers and small molecules, the Cauchy stress of the deformed hydrogel can be obtained. The acoustic radiation stress generated by the ultrasonic inputs is incorporated into the Cauchy stress to give the constitutive equations of the acousto-thermal-mechanical hydrogel. The mixing energy contains an interaction parameter as a function of temperature and polymer concentration so that hydrogel deformation is temperature dependent. By employing the incompressible condition of polymers and molecules, both the temperature and acoustic radiation stress contribute to osmotic pressure, inducing hydrogel swelling (or shrinking). Specifically, for a temperature-sensitive hydrogel layer immersed in solvent, its acoustic-triggered large deformation is comprehensively analysed under different boundary conditions (e.g. free swelling, uniaxial constraint and biaxial constraint).
LncRNA MALAT1 modified progression of clear cell kidney carcinoma (KIRC) by regulation of miR‐194‐5p/ACVR2B signaling

This investigation was purposed to extrapolate whether and how lncRNA MALAT1, miR‐194‐5p, and ACVR2B altered development of clear cell kidney carcinoma (KIRC). We totally gathered 318 pairs of KIRC tissues and adjacent normal tissues, and also purchased human KIRC cell lines and normal human proximal tubular epithelial cell line. Besides, si‐MALAT1, pcDNA‐MALAT1, miR‐194‐5p mimic, miR‐194‐5p inhibitor, and negative control (NC) were, respectively, transfected into KIRC cells. The viability, proliferation, and apoptosis of the cells were determined with CCK‐8 assay, colony formation assay, and flow cytometry. Dual‐luciferase reporter gene assay was implemented to validate the targeted relationships between MALAT1 and miR‐194‐5p, as well as between miR‐194‐5p and ACVR2B. The results showed that highly expressed MALAT1, ACVR2B, and lowly expressed miR‐194‐5p were associated with larger tumor size (≥4 cm), advanced TNM stage and poor prognosis of KIRC patients, when, respectively, compared with lowly expressed MALAT1, ACVR2B, and highly expressed miR‐194‐5p (P < 0.05). Transfection of pcDNA‐MALAT1, miR‐194‐5p inhibitor, and pcDNA‐ACVR2B conferred the KIRC cells with promoted viability and proliferation, as well as reduced apoptosis (P < 0.05). Treatment of rats with pcDNA‐MALAT1, miR‐194‐5p inhibitor, or pcDNA‐ACVR2B also contributed to larger tumor size growing in them (P < 0.05). Moreover, MALAT1 could directly target miR‐194‐5p to suppress its expression, and ACVR2B was the targeted molecule of miR‐194‐5p (P < 0.05). Finally, ACVR2B could reverse the effects exerted by miR‐194‐5p on viability, proliferation, and apoptosis of KIRC cells (P < 0.05). In conclusion, LncRNA MALAT1/miR‐194‐5p/ACVR2B signaling was regarded as a candidate pathway for modulating KIRC progression.
The role of motivational factors in predicting STEM career aspirations

ABSTRACT This study examined how motivational factors (i.e., self-concept in science, enjoyment of science, and instrumental value of science) predict science, technology, engineering, and math (STEM) career aspirations using a nationally representative sample of 5,611 fifteen-year-old students (49.4% female) in the United States. The findings demonstrated that the motivational factors, particularly enjoyment and instrumental value, are important predictors of STEM career aspirations even after controlling for socioeconomic status (SES), STEM career awareness, and science achievement. The findings also demonstrated that, although the motivational factors operate slightly differently across gender, they seem to function similarly across racial and ethnic groups. The findings have important implications for how to promote STEM career aspirations.