Miracle-dz/UniFAR-FTUs huggingface dataset:
Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors

Mobility impairments are a common symptom of age-related degenerative diseases. Gait features can discriminate those with mobility disorders from healthy individuals, yet phenotyping specific pathologies remains challenging. This study aims to identify if gait parameters derived from two foot-mounted inertial measurement units (IMU) during the 6 min walk test (6MWT) can phenotype mobility impairment from different pathologies (Lumbar spinal stenosis (LSS)—neurogenic diseases, and knee osteoarthritis (KOA)—structural joint disease). Bilateral foot-mounted IMU data during the 6MWT were collected from patients with LSS and KOA and matched healthy controls (N = 30, 10 for each group). Eleven gait parameters representing four domains (pace, rhythm, asymmetry, variability) were derived for each minute of the 6MWT. In the entire 6MWT, gait parameters in all four domains distinguished between controls and both disease groups; however, the disease groups demonstrated no statistical differences, with a trend toward higher stride length variability in the LSS group (p = 0.057). Additional minute-by-minute comparisons identified stride length variability as a statistically significant marker between disease groups during the middle portion of 6WMT (3rd min: p ≤ 0.05; 4th min: p = 0.06). These findings demonstrate that gait variability measures are a potential biomarker to phenotype mobility impairment from different pathologies. Increased gait variability indicates loss of gait rhythmicity, a common feature in neurologic impairment of locomotor control, thus reflecting the underlying mechanism for the gait impairment in LSS. Findings from this work also identify the middle portion of the 6MWT as a potential window to detect subtle gait differences between individuals with different origins of gait impairment.
SRSF3 and HNRNPH1 Regulate Radiation-Induced Alternative Splicing of Protein Arginine Methyltransferase 5 in Hepatocellular Carcinoma

Protein arginine methyltransferase 5 (PRMT5) is an epigenetic regulator which has been proven to be a potential target for cancer therapy. We observed that PRMT5 underwent alternative splicing (AS) and generated a spliced isoform PRMT5-ISO5 in hepatocellular carcinoma (HCC) patients after radiotherapy. However, the regulatory mechanism and the clinical implications of IR-induced PRMT5 AS are unclear. This work revealed that serine and arginine rich splicing factor 3 (SRSF3) silencing increased PRMT5-ISO5 level, whereas heterogeneous nuclear ribonucleoprotein H 1 (HNRNPH1) silencing reduced it. Then, we found that SRSF3 and HNRNPH1 competitively combined with PRMT5 pre-mRNA located at the region around the 3′- splicing site on intron 2 and the alternative 3′- splicing site on exon 4. IR-induced SRSF3 downregulation led to an elevated level of PRMT5-ISO5, and exogenous expression of PRMT5-ISO5 enhanced cell radiosensitivity. Finally, we confirmed in vivo that IR induced the increased level of PRMT5-ISO5 which in turn enhanced tumor killing and regression, and liver-specific Prmt5 depletion reduced hepatic steatosis and delayed tumor progression of spontaneous HCC. In conclusion, our data uncover the competitive antagonistic interaction of SRSF3 and HNRNPH1 in regulating PRMT5 splicing induced by IR, providing potentially effective radiotherapy by modulating PRMT5 splicing against HCC.
Word Embeddings for the Morphosyntactic Analysis of the Voynich Manuscript

The Voynich manuscript is an undeciphered piece of handwritten work illustrated with numerous drawings, which has been dated to the early 15th century. In this project, we aim to use word embeddings to capture morphosyntactic as well as lexical-semantic patterns in the manuscript. This project is an extension of a previous work that focused on suffixes [1]. This earlier work has found clusters of certain suffixes, and the nearest neighbours of many words only differ with regards to the input word by one or two characters. We will explore the spatial distribution of words with common prefixes by experimenting with different word embeddings. The idea is that words with a common morpheme tend to be grouped together if the morpheme is a prefix. We will first determine the performance of the models on a Latin text of approximately the same size, after which we will apply the best model to the Voynich. We will take a step back from the previous work and try to enrich the knowledge about Voynich.
Magnetophoresis in Centrifugal Microfluidics at Continuous Rotation for Nucleic Acid Extraction

Centrifugal microfluidics enables fully automated molecular diagnostics at the point-of-need. However, the integration of solid-phase nucleic acid extraction remains a challenge. Under this scope, we developed the magnetophoresis under continuous rotation for magnetic bead-based nucleic acid extraction. Four stationary permanent magnets are arranged above a cartridge, creating a magnetic field that enables the beads to be transported between the chambers of the extraction module under continuous rotation. The centrifugal force is maintained to avoid uncontrolled spreading of liquids. We concluded that below a frequency of 5 Hz, magnetic beads move radially inwards. In support of magnetophoresis, bead inertia and passive geometrical design features allow to control the azimuthal bead movement between chambers. We then demonstrated ferrimagnetic bead transfer in liquids with broad range of surface tension and density values. Furthermore, we extracted nucleic acids from lysed Anopheles gambiae mosquitoes reaching comparable results of eluate purity (LabDisk: A260/A280 = 1.6 ± 0.04; Reference: 1.8 ± 0.17), and RT-PCR of extracted RNA (LabDisk: Ct = 17.9 ± 1.6; Reference: Ct = 19.3 ± 1.7). Conclusively, magnetophoresis at continuous rotation enables easy cartridge integration and nucleic acid extraction at the point-of-need with high yield and purity.
Casein Lactose-Glycation of the Maillard-Type Attenuates the Anti-Inflammatory Potential of Casein Hydrolysate to IEC-6 Cells with Lipopolysaccharide Stimulation

During the thermal processing of dairy products, the Maillard reaction occurs between milk proteins and lactose, resulting in the formation of various products including glycated proteins. In this study, lactose-glycated casein was generated through the Maillard reaction between casein and lactose and then hydrolyzed by a trypsin preparation. The anti-inflammatory effect of the resultant glycated casein hydrolysate (GCH) was investigated using the lipopolysaccharide (LPS)-sitmulated rat intestinal epithelial (IEC-6) cells as a cell model and corresponding casein hydrolysate (CH) as a control. The results indicated that the preformed glycation enabled lactose conjugation to casein, which endowed GCH with a lactose content of 12.61 g/kg protein together with a lower activity than CH to enhance the viability value of the IEC-6 cells. The cells with LPS stimulation showed significant inflammatory responses, while a pre-treatment of the cells with GCH before LPS stimulation consistently led to a decreased secretion of three pro-inflammatory mediators, namely, IL-6, IL-1β and tumor necrosis factor-α (TNF-α) but an increased secretion of two anti-inflammatory mediators, including IL-10 and transforming growth factor-β (TGF-β), demonstrating the anti-inflammatory potential of GCH in LPS-stimulated cells. In addition, GCH up-regulated the expression of TLR4, p-p38, and p-p65 proteins in the stimulated cells, resulting in the suppression of NF-κB and MAPK signaling pathways. Collectively, GCH was mostly less efficient than CH to exert these assessed anti-inflammatory activities in the cells and more importantly, GCH also showed an ability to cause cell inflammation by promoting IL-6 secretion and up-regulating the expression of TLR4 and p-p65. The casein lactose-glycation of the Maillard-type was thereby concluded to attenuate the anti-inflammatory potential of the resultant casein hydrolysate. It is highlighted that the casein lactose-glycation of the Maillard-type might cause a negative impact on the bioactivity of casein in the intestine, because the glycated casein after digestion could release GCH with reduced anti-inflammatory activity.
From Graph to Graph - Question Answering using Abstract Meaning Representation

We propose a graph to graph based transformation for KBQA systems. AMR graphs have proven promising for Question Answering (QA) systems and generating SPARQL queries. In this paper, we discuss using AMR graph for multilingual QA systems to generate SPARQL queries for Wikidata. The approach shows promising results and has scope for further improvement.
DYNAMIC CHARACTERISTICS OF MIXTURE UNIFIED GRADIENT ELASTIC NANOBEAMS

The mixture unified gradient theory of elasticity is invoked for the rigorous analysis of the dynamic characteristics of elastic nanobeams. A consistent variational framework is established and the boundary-value problem of dynamic equilibrium enriched with proper form of the extra non-standard boundary conditions is detected. As a well-established privilege of the stationary variational theorems, the constitutive laws of the resultant fields cast as differential relations. The wave dispersion response of elastic nano-sized beams is analytically addressed and the closed form solution of the phase velocity is determined. The free vibrations of the mixture unified gradient elastic beam is, furthermore, analytically studied. The dynamic characteristics of elastic nanobeams is numerically evaluated, graphically illustrated, and commented upon. The efficacy of the established augmented elasticity theory in realizing the softening and stiffening responses of nano-sized beams is evinced. New numerical benchmark is detected for dynamic analysis of elastic nanobeams. The established mixture unified gradient elasticity model provides a practical approach to tackle dynamics of nano-structures in pioneering MEMS/NEMS.
Study of solid carbon source-based graphene growth directly on SiO_2 substrate with Cu or Cu/Ni as the sacrificial catalysts

Herein, we report the results of directly synthesizing wafer-scale graphene on silicon dioxide surface using the photoresist based and Cu and Cu/Ni thin-film coating-assisted chemical vapor deposition method. A systematical investigation of the effects of growth condition, such as temperature, time, and metal catalyst layer of Cu and Cu/Ni, on the growth of graphene have been conducted. Multi-layer graphene films are prone to be grown using the Cu/Ni capping layer, while monolayer graphene films are produced using the Cu capping layer. The results demonstrate that such simple method using solid phase photoresist as carbon feedstock can provide a practical route to realize large-scale and mass production of monolayer graphene on dielectric substrate no need of conventional transfer procedure. It sheds a light on future graphene electronic industry. Graphical abstract
Analyzing Perceptions of Community-Engaged Health Research Partnerships Comprising Hispanic Groups and Academic Allies in Indiana

Objectives: To analyze perceptions about multiple community-engaged oral health research partnerships with various local Hispanic-serving institutions and community-based organizations occurring in Indiana from 2010 through 2020, via interviews with actors involved in those partnerships. Methods: We designed key informant interview questions based on a literature review to inform the approach at synthesizing perspectives from community partners and academic allies. Statements were categorized using thematic analysis and grounded theory. Lessons Learned: Forty percent of respondents stated that community-engaged research projects connect communities with educational information about dental care and low-cost resources. In terms of capacity building, about half of respondents felt these projects had a positive impact. Conclusions: Community partners defined positive impact as increasing access to dental care educational resources, helping to enhance communication networks through social media with community partners, and contributing to local Hispanic health education through TV, internet, and radio partnerships. The partnerships uniting Hispanic groups and academic allies appear to have helped set a foundation of trust to support current and future efforts in Indiana.
The $\eta$ Carinae spectrum of SS73 11 (=Ve 2-27)

We report new spectroscopic observations of the peculiar emission-line star SS73 11, between 3200 A and 7200 A. A line list is provided with their suggested identifications. From the measurements of several forbidden and permitted emission lines of single ionized iron, we derived the color excess and the excitation temperature. We also discuss the nature of SS73 11 based on data obtained. The spectrum closely resembles not only η Car but also some proto-planetary nebulae. On the other hand we concluded that this object is not a B[e]-supergiant, a symbiotic star or a Herbig AeB[e]-star.
Dark Web Text Classification by Learning through SVM Optimization

—The Darkweb has become the largest repository of unauthorized information compared to the surface web because of its benefit of anonymity and privacy. With these anonymity and privacy features, the dark web is also becoming a safe place for illegal activities and hence an increase of dark web usage and size of the onion-based URLs. With the increasing use of dark web users, it is the need for cybercrime investigators across the globe to classify dark web data for understanding various illegal activities to control and categorize URLs hosting such illicit activities with feature engineering. In this research, the Support Vector Machines (SVM) algorithm is used to understand the algorithm’s efficiency for a proposed model to classify dark web data with optimization techniques. Text-based keywords from more than 1800 websites were collected by applying feature engineering techniques and the system’s performance was evaluated with the SVM approach. The results are very encouraging as the Precision, Recall, and F-measure values are 0.83, 0.90 & 0.96 achieved with a dataset of 1800 URLs.
Colloquium
: Planckian dissipation in metals

We review the appearance of the Planckian time τPl = ~/(kBT ) in both conventional and unconventional metals. We give a pedagogical discussion of the various different timescales (quasiparticle, transport, many-body) that characterize metals, emphasizing conditions under which these times are the same or different. Throughout, we have attempted to clear up aspects of the problem that had been confusing us, in the hope that this helps the reader as well. We discuss the possibility of a Planckian bound on dissipation from both a quasiparticle and a many-body perspective. Planckian quasiparticles can arise naturally from a combination of inelastic scattering and mass renormalization. Many-body dynamics, on the other hand, is constrained by the basic timeand lengthscales of local thermalization. 1 ar X iv :2 10 7. 07 80 2v 3 [ co nd -m at . s tr -e l] 1 8 Ju n 20 22
Azimuthal vector beam illuminating plasmonic tips circular cluster for surface-enhanced Raman spectroscopy

Noble metallic nanostructures with strong electric near-field enhancement can significantly improve the nanoscale light-matter interactions and are critical for high-sensitivity surface-enhanced Raman spectroscopy (SERS). Here, we use azimuthal vector beam (AVB) to illuminate the plasmonic tips circular cluster (PTCC) array to enhance the electric near-field intensity of the PTCC array, and then use it to improve SERS sensitivity. The PTCC array were prepared based on the self-assembled and Inductive Coupled Plasmon (ICP) etching methods. The calculation results show that, compared with linearly polarized beam (LPB) and radial vector beam (RVB) excitations, the AVB excitation can obtain stronger electric near-field enhancement due to the strong resonant responses formed in the nanogap between adjacent plasmonic tips. Subsequently, our experimental results proved that AVB excitation increased SERS sensitivity to 10 -13 M, which is 2 orders of magnitude higher than that of LPB excitation. Meanwhile, the PTCC array had excellent uniformity with Raman enhancement factor calculated to be ∼ 2.4× 10 8 . This kind of vector light field enhancing Raman spectroscopy may be applied in the field of sensing technologies, such as to the trace examination with ultra-low concentration.
GEOMETRIC ANALYSIS BY CONSTRUCTAL DESIGN OF STIFFENED STEEL PLATES UNDER BENDING WITH TRANSVERSE I-SHAPED OR T-SHAPED STIFFENERS

Several stiffened plates arrangements subjected to bending were configured applying the Constructal Design Method (CDM) and solved by Finite Element Method (FEM), aiming through the Exhaustive Search (ES) technique analyze the influence of transverse I-Shaped or T-Shaped stiffeners in mechanical behavior. Considering a non-stiffened plate as reference and maintaining the total steel volume constant, a portion of the reference plate was deducted from its thickness, and transformed into stiffeners through the ? volume fraction parameter, which represents the ratio between the steel volume of the stiffeners and the steel volume of the reference plate. Assuming ? = 0.3, 25 plates with just I-Shaped stiffeners in longitudinal and transverse directions and 25 plates with I-Shaped stiffeners in longitudinal direction and T-Shaped stiffeners in transverse direction were proposed. The results showed that the plates with transverse T-Shaped stiffeners are more effective, reducing the maximum von Mises stress and maximum deflection, respectively, in up to more than 60% and 50% when compared with the plates with just I-Shaped stiffeners.
RAS based culture system for continuous production of Rotifers (Brachionus calyciflorus) in mass

The present study was undertaken to find out preferred food type, minimum effective algal cell requirement, effective harvest rate of rotifers and to design and construct re-circulatory aquaculture system (RAS) based rotifer, Brachionus calyciflorus production system at Aquatic Rainbow Technology Park, Dr MGR Fisheries College and Research Institute, TNJFU, Madhavaram campus, Chennai during 2017–2019. In the first experiment, food types, viz. Chlorella vulgaris, Spirulina major, Scenedismus obliquus and Baker’s yeast were extensively fed to rotifers with control (5000 L). The highest rotifer count was observed with C. vulgaris food type (365.33±2.18 rotifers/ml) followed by Baker’s yeast (245.33±5.36 rotifers/ml) on 8th day which started declining gradually to 30th day because of lower water quality. Second experiment on algal consumption rate by rotifer postulated that 22,000–25,000 cells/day/rotifer was the minimum cell requirement. Third experiment on standardizing effective harvest rate (10%, 30%, 50% and 70%) suggested that daily harvest at 30% maintained the rotifer culture at its stationary phase (381±19.45 rotifers/ml). After the experiments, we have designed, built and operated RAS based live food production unit for 17 months where the harvested water was treated using series of filters (rapidsand, cartridge, UV filters) and reused for algal culture. The seasonal data showed that temperature plays a major role with the highest production during summer (404.43±24.33 rotifers/ml) and consequently lower in winter (301.21±14.33 rotifers/ml). The system opens a new perspective of commercial scale production of rotifers with standard culture and harvesting practices.
Foreign Direct Investment Elasticities of Output, Labor, and Wages in Chile: A Simultaneous Equations Approach

We estimate foreign direct investment elasticities of output, of unskilled and skilled labor, and of unskilled and skilled wages for Chile, both at an aggregate level and for eight economic sectors. We use regional data from official Chilean sources ranging from 2012 to 2019 and data from economic sectors in each region for the period 1996–2011. Estimates are based on a simultaneous equation approach, which considers the two-way relationships between FDI and output as well as the relationships between output, labor, and wages stressed by the duality theory of production in economics. The estimations confirm that FDI triggers growth and that FDI follows growth. Due to the positive effects on output, FDI boosts employment creation, particularly of skilled labor. The estimated effects on wages are not significant, either statistically or practically. The output and labor effects of FDI are positive and significant in all economic sectors, but point estimates suggest that they could be larger for the agriculture-forestry-fishing sector. The results indicate that realistic increases in FDI can have substantial output and employment effects in Chile.
Yersinia enterocolitica-Derived Outer Membrane Vesicles Inhibit Initial Stage of Biofilm Formation

Yersinia enterocolitica (Y. enterocolitica) is an important food-borne and zoonotic pathogen. It can form biofilm on the surface of food, increasing the risk to food safety. Generally, outer membrane vesicles (OMVs) are spherical nanostructures secreted by Gram-negative bacteria during growth. They play a role in biological processes because they contain biologically active molecules. Several studies have reported that OMVs secreted by various bacteria are associated with the formation of biofilms. However, the interactions between Y. enterocolitica OMVs and biofilm are unknown. This study aims to investigate the effect of Y. enterocolitica OMVs on biofilm formation. Firstly, OMVs were extracted from Y. enterocolitica Y1083, which has a strong biofilm-forming ability, at 15 °C, 28 °C and 37 °C and then characterized. The characterization results showed differences in the yield and protein content of three types of OMVs. Next, by co-culturing the OMVs with Y. enterocolitica, it was observed that the OMVs inhibited the initial stage of Y. enterocolitica biofilm formation but did not affect the growth of Y. enterocolitica. Furthermore, biofilm formation by Salmonella enteritidis and Staphylococcus aureus were also inhibited by OMVs. Subsequently, it was proved that lipopolysaccharides (LPS) in OMVs inhibited biofilm formation. , The proteins, DNA or RNA in OMVs could not inhibit biofilm formation. Bacterial motility and the expression of the biofilm-related genes pgaABC, motB and flhBD were inhibited by LPS. LPS demonstrated good anti-biofilm activity against various bacteria. This study provides a new approach to the prevention and control of pathogenic bacterial biofilm.
A Computationally Efficient Winding Function Method for Calculation of Inductances in an Asymmetric Induction Motor

Abstract Winding function theory has been successfully applied for the calculation of magnetizing inductances of asynchronous and synchronous rotating machines for steady-state and transient analysis. The computational burden in such simulations is heavy because of the calculation of a large number of inductances of the stator and rotor circuit coils, at every time step, each of which requires evaluation of definite integrals of the products of winding functions, their distributions and inverse air gap functions around the rotor periphery. This article proposes a modified discrete space model of continuous space winding function of a squirrel cage induction motor. The discrete model uses the air gap functions directly and consequently eliminates inverse air gap functions and their approximations. Further, it uses simple and direct formulae for the calculation of motor inductances, which results in considerable reduction in the computational complexity and execution time while preserving the accuracy of computation. Discrete winding functions are suitable for the simulation of gradual changes in asymmetrical faults such as eccentricity, rotor bar faults and end ring faults in a three phase squirrel cage induction motor. Simulation results show the comparative assessment of computational complexity, accuracy and execution time required for the calculation of the stator and rotor inductance values of an asymmetrical induction motor.