Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between the Maladaptive Schemas with Emotional Intelligence and Emotional Regulation in the Diabetic Elderly

Background & Aim: Aging is a biological process experienced by all living things, including humans. The present study aimed to evaluate the relationship between maladaptive schemas and emotional intelligence with emotional regulation in the diabetic elderly. Materials and Methods: This was a descriptive and correlational study, and the statistical population included all the diabetic elderly referring to the Diabetes Support Charity Association in Gilan, Iran in the last month of the Persian year 1398 (2019). In total, 225 out of 541 individuals were selected by stratified random sampling. Data were collected using the maladaptive schemas and emotional intelligence (1998), Meyer and Salovi (1997) emotional intelligence questionnaires, and Gross and John (2003) emotional regulation questionnaires. In addition, data analysis was performed using Pearson parametric statistics and multivariate regression. Results: In this study, there was a significant relationship between maladaptive schemas and emotional intelligence in the diabetic elderly (P<0.01). In addition, a significant association was observed between the maladaptive schemas and emotional regulation of diabetic elderlies (P<0.01). In another part of the study, the results demonstrated that 24.4% of the changes in the maladaptive schemas of the elderly could be explained by using changes in emotional regulation and emotional intelligence of these individuals. Conclusion: According to the results of the study, the variables of emotional intelligence and emotional regulation properly predicted the maladaptive schema of diabetic elderly.
Identification of CD4+ T cell epitopes from Staphylococcus aureus secretome using immunoinformatic prediction and molecular docking

One major reason for the lack of clinical success of Staphylococcus aureus vaccine candidates is the inability of the antigens to develop a CD4+ T cell-mediated immune response. Hence, it is important to identify CD4+ T cell antigens from S. aureus. CD4+ T cells are activated following the presentation of epitopes derived from exogenous proteins on HLA class II molecules. Fifty-nine secretory proteins of S. aureus were analyzed computationally for the presence of HLA class II binding peptides. Fifteen-mer peptides were generated, and their binding to 26 HLA class II alleles was predicted. The structural feasibility of the peptides binding to HLA-II was studied using molecular docking. Of the 16,724 peptides generated, 6991 (41.8%) were predicted to bind to any one of the alleles with an IC50 value below 50 nM. Comparative sequence analysis revealed that only 545 of the strong binding peptides are non-self in the human system. Approximately 50% of the binding peptides were monoallele-specific. Moreover, approximately 95% of the predicted strong binding non-self peptides interacted with the binding groove of at least one HLA class II molecule with a glide score better than –10 kcal/mol. On the basis of the analysis of the strength of binding, non-self presentation in the human host, propensity to bind to a higher number of alleles, and energetically favorable interactions with HLA molecules, a set of 11 CD4+ T cell epitopes that can be used as vaccine candidates was identified.
The metastable brain associated with autistic-like traits of typically developing individuals

Metastability in the brain is thought to be a mechanism involved in the dynamic organization of cognitive and behavioral functions across multiple spatiotemporal scales. However, it is not clear how such organization is realized in underlying neural oscillations in a high-dimensional state space. It was shown that macroscopic oscillations often form phase-phase coupling (PPC) and phase-amplitude coupling (PAC), which result in synchronization and amplitude modulation, respectively, even without external stimuli. These oscillations can also make spontaneous transitions across synchronous states at rest. Using resting-state electroencephalographic signals and the autism-spectrum quotient scores acquired from healthy humans, we show experimental evidence that the PAC combined with PPC allows amplitude modulation to be transient, and that the metastable dynamics with this transient modulation is associated with autistic-like traits. In individuals with a longer attention span, such dynamics tended to show fewer transitions between states by forming delta-alpha PAC. We identified these states as two-dimensional metastable states that could share consistent patterns across individuals. Our findings suggest that the human brain dynamically organizes inter-individual differences in a hierarchy of macroscopic oscillations with multiple timescales by utilizing metastability.
Near-Optimal Probing Planning for In-Band Network Telemetry

In-band Network Telemetry (INT) is gaining traction as an advanced network monitoring approach. Despite a few recent initiatives to orchestrate the collection of in-band network statistics, state-of-the-art approaches fall short when it comes to efficiently collect telemetry items while subjected to real-world constraints. In this letter, we propose Probe Planning for In-Band Network Telemetry (P2INT) to coordinate how probing packets are generated and routed to ensure that all links are covered so that the required in-band network telemetry data is collected. We theoretically formalize the problem as a Integer Linear Programming model and propose an efficient mathematical programming-based heuristic to solve it. Our results show that P2INT outperforms the closest contender by a factor of up to 6x concerning the number of probing cycles generated.
A Stopping Criterion for the Training Process of the Specific Signal Generator

Mathematical description of a complex signal is very important in engineering but nearly impossible in many occasions. The emergence of the Generative Adversarial Network (GAN) shows the possibility to train a single neural network to be a Specific Signal Generator (SSG), which is only controlled by a random vector with several elements. However, there is no explicit criterion for the GAN training process to stop, and in real applications the training always stops after a certain big iteration. In this paper, a serious issue was discussed during the process to use GAN as a SSG. And, an explicit criterion for the GAN as a SSG to stop the training process were proposed. Several experiments were carried out to illustrate the issues mentioned above and the effectiveness of the stopping criterion proposed in this paper.
University of Birmingham Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

6 The exponential growth of renewable electricity generation has transformed significantly the operating en7 vironment of gas turbines. Nowadays, gas turbines operate under transient conditions to support their 8 renewable partners. Gas turbine dynamic performance simulation provides the means for assessing the 9 engine behavior and designing engine controllers that will enable them to fulfill their new operating role. 10 This paper presents a novel gas turbine performance system for representing the nonlinear behavior of a 11 two-shaft gas turbine engine. The developed gas turbine engine model in MATLAB/Simulink environment 12 is capable of simulating both steady state and transient operating conditions, and to facilitate the design 13 of controllers for stable engine operation. Validation of the developed engine model with a gas turbine 14 simulation package confirmed the excellent agreement among all the simulated measurements at transient 15 conditions. The simulated behavior of a hybrid gas/wind power plant enabled the development of an 16 optimized controller for empowering the gas turbine to support the intermittent wind turbines. The time 17 responses of the main parameters of the hybrid gas/wind power plant demonstrated the significant amount 18 of transient conditions that a gas turbine experiences for fulfilling the energy gap imposed by the wind 19 turbines. Finally, the performance comparison of the hybrid power plant to a twin gas turbine power plant 20 highlighted the effective reduction in NOx emissions. 21
Screening and identification of abiotic stress-responsive efficient antifungal Pseudomonas spp. from rice rhizospheric soil

Plant growth-promoting rhizobacteria (PGPR) are a collection of microorganisms often used to support and promote plant development and combat plant infectious diseases with various biological control methods. The most significant restricting factors for agricultural productivity worldwide are abiotic constraints. In the present study, seven bacterial isolates from the rice rhizosphere were selected for detailed tests based on results obtained in experiments determining the ACC deaminase synthesis and drought tolerance at –0.30 MPa PEG level. Screening results of the stress tolerance analysis of the seven isolates for elevated temperature (50°C), alkalinity (10% NaCl), and drought (–1.2 MPa) showed that abiotic stress resistance was less prevalent in DRO2, DRO13, and DRO43 isolates than in DRO17, DRO28, DRO35, and DRO51 isolates. During the study, it was observed that DRO17, DRO28, and DRO51 tended to maintain similar cell density at –0.73 MPa PEG level, as observed at –0.30 MPa stress condition. No bacterial growth was observed at higher PEG level (–1.12 MPa) for any bacterial isolate. Four strains of Pseudomonas (DRO17, DRO28, DRO35, and DRO51) exhibited salinity and temperature tolerance. Antifungal screening using the bangle method showed that DRO35 was highly antagonistic towards Rhizoctonia solani 4633, followed by Fusarium moniliforme 4223, with an inhibition of 64.3% and 48%, respectively. The DRO28 isolate exhibited 72.5% growth inhibition for Fusarium moniliforme 4223, while the DRO51 isolate showed 38.2% growth inhibition for Bipolaris hawaiiensis 2445. DRO17 reduced the growth of Rhizoctonia solani 4633, and Curvularia lunata 350 by 36% and 31%, respectively. In conclusion, the screening of bacterial strains with promising stress tolerance and antifungal characteristics could support farmers to achieve the required positive outcomes in the agriculture field.
A COMPREHENSIVE REVIEW ON DUAL APPROACH TO THE VIBRATION ANALYSIS: SOME DUAL TECHNIQUES AND APPLICATION

This paper reviews key ideas of the researches on the dual approach to the vibration analysis. Three types of dual techniques, namely, forward return dual technique, global-local dual technique, weighted averaging dual technique, for the problem of equivalent replacement are summarized. Different implements and realizations of dual techniques to nonlinear vibration analysis and design of dynamic absorbers are reviewed. Finally, the challenging issues based on the dual techniques are discussed. A number of possibilities for developing analytical techniques related to dual techniques are proposed.
"Exploring the synergistic effect of Celery and Chinese kale on Antioxidant and Anti-Pancreatic Lipase and Anti-Acetylcholinesterase activities"

It has been well known that vegetables provided numerous health benefits and mixed recipe derived local vegetables have been used in traditional folklore. Therefore, this study aimed to observe the synergistic effect of the mixed water extract of Celery and Chinese kale on chemical compositions using GC-MS analysis and the biological activity including antioxidant activity and inhibited acetylcholinesterase (AChE) and suppressed pancreatic lipase by in vitro study. The GC-MS analysis of the chemical compounds showed the presence of Pyrrolidine, N,NDimethylaminoethanol, 2,3-Butanediol, Dimethyl trisulfide, Pentane, 3-methyl-, 3H-1,2,4-Triazol-3-one, 1,2-dihydro-, p-Cresol, 3-Butylisobenzofuran-1(3H)-one, Senkyunolide, n-Hexadecanoic acid, and Phytol. The Mixed extract significantly increased in total phenolic compound but no different in flavonoid content when compared with the extract alone. The biological activity showed that the potentials of antioxidant activity, inhibited pancreatic lipase activity and Anti-AChE activity of the mixed extract significantly increased than extract alone. The combination between celery and chinese kale extract showed high potential in antioxidant activity, inhibition of pancreatic lipase and AChE activity due to its syngenetic effect. Therefore, the combined extract is suitable for developing the functional food with positive health effects that extend beyond their nutritional value such as nutraceuticals products with mitigating hyperlipidemia and improving cognitive function.
Inferring High Spatiotemporal Air Quality Index-A Study in Bangkok

Robust estimates of human exposure to inhaled air pollutants are necessary for a realistic appraisal of the risks these pollutants pose, and for the design and implementation of strategies to control and limit those risks. However, these tasks are challenging in Bangkok due to few number of official air quality sensors and huge city administrative areas. This research couples data from government official air quality sensors with multiple data sources from ride-hailing, satellite measurement, transportation, official statistics, and meteorological information to infers daily air quality index in three months sample of high, normal, and low seasons for whole Bangkok city at 1km x 1km spatial resolution. The best model shows 0.6 r performance using a Land Use Regression (LUR) approach.
PREPARATION OF WATER-IN-OIL-IN-WATER EMULSION WITH ULTRA-THIN OIL PHASE LAYER USING HYDROPHOBIC MICROCHANNEL WITH STEP STRUCTURE

This paper reports a novel microfluidic device to prepare monodisperse water-inoil-in-water (W/O/W) emulsions with an ultra-thin oil phase layer. Our device enabled to prepare the thin-layered W/O/W emulsions in a microchannel with a hydrophobic surface and a step structure, by removing an oil phase from W/O droplets. The thin-layered W/O/W emulsions are expected as substrates for highly functional materials such as microcapsules and liposomes.
uGEMM: Unary Computing for GEMM Applications

General matrix multiplication (GEMM) is pervasive in various domains, such as signal processing, computer vision, and machine learning. Conventional binary architectures for GEMM exhibit poor scalability in area and energy efficiency, due to the spatial nature of number representation and computing. On the contrary, unary computing processes data in temporal domain with extremely simple logic. However, to date, there rarely exist efficient architectures for unary GEMM. In this work, we first present uGEMM, a hardware-efficient unary GEMM architecture enabled by universally compatible arithmetic units, which simultaneously achieves input-insensitivity and high output accuracy. Next, we demonstrate that the proposed uGEMM can reliably early terminate the computation and offers dynamic energy-accuracy scaling for real-world applications via an accuracy-aware metric. Finally, to propel the future research for unary computing, we open source our unary computing simulator, UnarySim.
Characterization of Aerosol Surface Instruments in Transition Regime

The primary purpose of this study is to measure the size- and composition-dependent responses of aerosol surface instruments designed to measure surface area related properties. Measurements were conducted in the range of 30–150 nm of mobility equivalent diameter, Dp. The responses of a LQ1-DC (a diffusion charger manufactured by Matter Engineering AG) and an EAD (a diffusion charger manufactured by TSI) to singlets (NaCl) particles are proportional to Dp 1.36 and Dp 1.13, respectively. The response of LQ1-DC agrees with Fuchs surface area, which is proportional to Dp 1.39 within 2.4% error. The response of the EAD is almost proportional to diameter, Dp. A PAS2000CE (Photoelectric Aerosol Sensor manufactured by EcoChem) gave both size and composition-dependent responses. For diesel particles produced at high engine loads, the response was nearly proportional to Fuchs surface area. However, at lighter engine loads, the response dropped sharply with decreasing Dp. Light engine loads are associated with high fractions of volatile particles that may suppress the photoemission response. The secondary purpose of this study is to investigate the difference in charging rate between singlets (NaCl particles) and agglomerates (diesel particles) by using diffusion chargers. Agglomerates (diesel particles at engine load 75%) acquire more charge than singlets (NaCl particles) by 15 and 17% for LQ1-DC and EAD, respectively.
EVALUATION OF THE HEAVY METAL IMMOBILIZATION POTENTIAL OF PINE BARK-BASED COMPOSTS

Composts have the potential for remediating heavy metal-contaminated soils. This sorption study investigated the potential of composted pine bark (PB) and its co-composts with goat manure (PBG) and sewage sludge (PBS) to immobilize lead [Pb (II)], copper [Cu (II)], zinc [Zn (II)] and nickel [Ni (II)]. The Langmuir maximum sorption capacity (qmax) of the composts followed the order PBG ≫ PBS > PB for the tested metal ions. The qmax values of PBG compost followed the order Cu (II) > Pb (II) > Zn (II) > Ni (II) whereas for PB and PBS composts they followed the order Pb (II) > Cu (II) > Zn (II) > Ni (II). Increasing solution pH improved the Cu and Zn retention capacities of the acidic PB and PBS composts but had no effect on the nearly neutral PBG compost. Thus, the PBG compost had better metal immobilization capacity than the PB and PBS composts, which may require liming to improve their effectiveness.
Biomimetic synthesis of superparamagnetic iron oxide particles in proteins

Matrix-mediated in situ synthesis of monodispersed magnetite and maghemite nanoparticles (2–16 nm) was carried out using the cavities present in gels of globular proteins such as egg white and bovine serum albumin. Under stringent conditions, spatial-charge-distribution-assisted molecular recognition of proteins for inorganic ions led to the site- and polymorph-specific synthesis of superparamagnetic iron oxide particles. A transformation from magnetite to maghemite as a nucleating phase could be observed by partially denaturing the egg white protein, signifying the delicate role of quaternary structure of proteins under different reaction conditions, in determining the size and shape of the polymorph.
Ionic liquid-functionalized graphene oxide as an efficient support for chiral salen Mn(III) complex in asymmetric epoxidation of unfunctionalized olefins

Please note that technical editing may introduce minor changes to the text and/or graphics, which may alter content. The journal’s standard Terms & Conditions and the Ethical guidelines still apply. In no event shall the Royal Society of Chemistry be held responsible for any errors or omissions in this Accepted Manuscript or any consequences arising from the use of any information it contains. Accepted Manuscript Catalysis Science & Technology
On-Line Monitoring of Powder Blending with Near-Infrared Spectroscopy

Powder blending was monitored on-line by taking near-infrared measurements at regular time intervals during the mixing process. The average standard deviation between the measurements taken at each time and the dissimilarity between each mixture spectrum and the ideal mixture spectrum were used to monitor the changes in the powder blend over time. The distribution of the pure compounds in the blend can be investigated by looking at the score plot for the first two principal components (PCs), the contribution of each variable to the dissimilarity and, in particular, the contrasts between two characteristic wavelengths for each compound. Statistical process monitoring charts were used to determine the blending time at which the mixture was within (spectroscopic) specifications. Shewhart charts monitor the blend at characteristic wavelengths for each substance separately. The Hotelling's T2 test defines a multivariate confidence interval. For spectral data, feature reduction is needed. This procedure is accomplished by using characteristic wavelengths for the pure compounds or the significant PCs after performing principal components analysis (PCA).
The Modeling and Fabricating of Film Bulk Acoustic Resonators Using Sputtered PZT Films with Various Thickness

In this study, the modeling and experimental results for the resonant characteristics of Pb(Zr, Ti)O3 (PZT) films with various thicknesses have been investigated in film bulk acoustic wave resonators (FBARs). PZT films and Pt electrodes were fabricated by rf magnetron sputtering. The electrodes and PZT were patterned by simple lift-off processing and then the back side of the silicon was etched by 45wt% KOH. The crystal structure of PZT films with 0.5, 1 and 2 μ m thickness was investigated by x-ray deflection (XRD) and scanning electron microscopy (SEM). The dielectric constant and performance characteristics of PZT FBAR strongly depended on the film thickness. The resonant frequency of PZT films decreased with increasing film thickness. The resonant frequency with 0.5 μ m thickness PZT FBAR is 1.48 GHz.
Adsorption Removal of Copper and Nickel Ions from Wastewater by Ammonia Modified Cotton Stalks

The ammonia modified cotton stalks (CS) were utilized to adsorb the Ni2+ and Cu2+ ions from wastewaters, and the effect parameters (i.e. pH, contact time, adsorbent dose, and temperature) were also investigated by batch adsorption experiments. The maximum uptake was attained, i.e., 99.4% and 98.8%, respectively, for nickel and copper ions, under the optimum conditions (adsorbent dose: 10 g/L; pH: 6.0 (Ni2+), 5.0 (Cu2+); t: 75min; T: 20 °C) when the initial concentration of heavy metal ions was 20 mg/L. The adsorption process of nickel and copper ions on ammonia modified CS was well described by the pseudo-second-order kinetic model.
Quantitative Imaging of Stable Isotopes by Ion Microprobe

A new analytical procedure has been developed to measure oxygen isotopic ratios and, more generally, stable isotopic ratios in microparticles with a few % precision. This procedure uses ion microprobe quantitative imaging with a scanning microbeam. In this mode, ion images are acquired on the electron multiplier. Image processing allows extraction of areas of interest from the whole image and computation of isotopic ratios in the selected areas. The accuracy of this method has been tested for the analysis of the 18O/16O ratio in quartz and magnetite reference samples powdered to a grain size of 2-5 μm. A detailed study of the instrumental mass fractionation allowed an understanding of differences between classical spot analysis and scanning ion imaging, and showed that fractionation effects were related to grain topography for microparticle analysis, and to image processing or to secondary optical settings for ion imaging. The precision obtained for the measurement of a18O was 3% for grains having a diameter of 2 μm. Une nouvelle procedure analytique est developpee pour permettre la mesure des isotopes stables dans des particules micrometriques avec une precision de quelques %0. Cette procedure utilise l'fimagerie quantitative par sonde ionique par balayage d'fun micro-faisceau. Dans ce mode les images ioniques sont acquises sur un multiplicateur d'felectrons. Un traitement d'fimage permet d'fextraire les zones d'finteret des images et de calculer les rapports isotopiques dans les zones selectionnees. La reproductibilite de cette methode a ete testee par la mesure du rapport 18O/16O dans des standards de quartz et de magnetite broyes a 2-5 μm. Une etude detaillee du fractionnement de masse instrumental a permis de comprendre les differences observees entre des analyses ponctuelles classiques et l'fimagerie par balayage et de mettre en evidence les fractionnements lies au relief des grains lors de l'fanalyse de micro-particules, au traitement d'fimage ou aux reglages de l'foptique secondaire requis pour l'fimagerie. Une precision de 3%0 pour la mesure du 18O est atteinte sur des grains d'fun diametre de 2 μm.