Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of the Relationship of Recommended Home Exercises with Dual-Task Training for the Elderly with Physical Activity Level, Life Quality and Kinesiophobia

Amac: Yaslilarda ev egzersizlerinin cift gorev egitimiyle birlikte yapilmasinin fiziksel aktivite duzeyi ve yasam kalitesine etkisini incelemek ve ev egzersizlerinin hareket korkusuna etkisini arastirmaktir. Gerec ve Yontemler: Calismaya 65 yas ustu 60 gonullu katilimci alindi. Katilimcilarin yas ortalamasi 81, yuzde 70’i kadinlardan olusmaktadir. Katilimcilar randomize kontrollu olarak tek ve cift gorev grubu adinda 2 esit gruba ayrildi. Her iki gruba standart ev egzersiz protokolu uygulanirken; cift gorev grubuna ek bilissel gorevler verildi. Katilimcilara haftada 3 gun olacak sekilde 4 hafta boyunda ev ortaminda fizyoterapist esliginde 45dk’lik 12 seans egzersiz yaptirildi. Ilk seans oncesi ve son seans sonrasi katilimcilara Dunya Saglik Orgutu Yasam Kalitesi Olcegi Yasli Modulu, Berg Denge Olcegi, Dusme Etkinlik Olcegi, Tampa Kinezyofobi Olcegi, Yaslilar icin Fiziksel Aktivite Olcegi, Zamanli Kalk Yuru Testi ve Montreal Bilissel Degerlendirme Olcekleri ile degerlendirme yapildi. Bulgular: Gruplar arasinda yapilan analizde Berg Denge Olcegi, Yaslilar icin Fiziksel Aktivite Olcegi ve Montreal Bilissel Degerlendirme Olceklerinin sonuclari istatistiksel olarak anlamli bulundu (p 0,05). Sonuc: Cift gorev egitimi ile yapilan ev egzersizleri; tek gorev egitimi ile yapilan ev egzersizlerine gore dengeyi gelistirme, fiziksel aktivite duzeyini arttirma ve bilissel performansi arttirma konusunda daha basarilidir. Yaslilarda ev egzersizlerinin cift gorev egitimi ile birlikte verilmesi bilissel performansin ve gunluk yasam aktivitelerinde bagimsizligin artmasi icin olumlu katki saglamaktadir.
Development of Itraconazole-Loaded Polymeric Nanoparticle Dermal Gel for Enhanced Antifungal Efficacy

Fungal infection of the skin is one of the most common dermatological diseases in the world. Gel formulations are among the most suitable dosage forms for topical use to treat cutaneous infection. Nanotechnology is a promising approach to penetrate the deeper skin layers and enhance permeability of itraconazole (ITZ) through the stratum corneum. ITZ-loaded nanoparticles (ITZ NPs) were fabricated using the evaporation emulsion method, followed by incorporation of NPs into gel using Carbopol 934 as the gel-forming excipient. The physical properties, in vitro release, ex vivo permeation studies, and antifungal activity of ITZ NP gel were characterized. ITZ NPs were almost spherical in shape with colloidal sizes in the range of 200 nm. The drug encapsulation efficiency was %. ITZ NP gel demonstrated a sustained ex vivo permeation of ITZ over 24 h through excised rat skin and a higher drug penetrating capacity than that of a gel containing ITZ-saturated suspension. The in vitro antifungal activity of the ITZ-loaded NP incorporated gel was better than that of ITZ dispersion. Incorporation of the ITZ-loaded nanosystem into gel has the potential to enhance antifungal activity through transdermal drug delivery.
Assessment of Genetic Diversity and Population Structure of Tunisian Barley Accessions (Hordeum vulgare L.) Using SSR Markers

In barley breeding programs, information about genetic dissimilarity and population structure is very important for genetic diversity conservation and new cultivar development. This study aimed to evaluate the genetic variation in Tunisian barley accessions (Hordeum vulgare L.) based on simple sequence repeat (SSR). A total of 89 alleles were detected at 26 SSR loci. The allele number per locus ranged from two to five, with an average of 3.4 alleles per locus detected from 32 barley accessions, and the average value of polymorphic information content was 0.45. A cluster analysis based on genetic similarity was performed, and the 32 barley resources were classified into five groups. Principal coordinates (PCoA) explained 12.5% and 9.3% of the total variation, and the PCoA was largely consistent with the results of cluster separation of STRUCTURE software analysis. The analysis of genetic diversity in barley collection will facilitate cultivar development and effective use of genetic resources.
Adsorption of Dye on Carbon Microparticles: Physicochemical Properties during Adsorption, Adsorption Isotherm and Education for Students with Special Needs

The purpose of this study was to demonstrate the adsorption of dye on carbon microparticles. We conducted two experiments: Understanding of the adsorption of dye on carbon microparticles. We used turmeric solution as a model of dye, in which this solution was contacted into commercially available carbon microparticles in the batch-typed adsorption reactor. The measurement results were then compared to several adsorption isotherm models, such as Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich models; and finding teaching strategies to improve students’ understanding on the adsorption concept to students with special needs. As for the second part which is finding strategies to teach the obtained results and their concept of adsorption to students with special needs, we evaluated the strategies to eight students with intellectual disabilities in special schools in Kuningan District, Indonesia using a Single Subject Research method (equipped with pre-test, post-test, and experimental demonstration). The results showed that carbon can absorb dye and can be used as an alternative for wastewater treatment. The isotherm models have the linearity parameter R2 of above 50%, and the most suitable model is Freundlich. The models also confirmed favorable adsorption with multilayer structure and physical interaction between turmeric and carbon microparticles. Demonstrating experiments and informing the measurement results gave great impacts on students’ comprehension, in which they have better understanding about the concept of adsorption compared to the conventional teaching method.
Saving the SDGs? Strengthening partnership for achieving SDGs in the Post-Covid-19 Digital World

The 2020, intended to give a good start to the Decade of Action to achieve SDGs by the target date of 2030, became a year of unprecedented health, social and economic crisis The COVID-19 pandemic plunged the world into the worst global recession since the Great Depression, reversed progress across the full range of the SDGs jeopardizing the Agenda 2030 implementation To build back better it is vital to assess the COVID-19 pandemic impact on economic growth and sustainable development and reflect on how to reenergize partnerships for saving the SDGs This article aims to assess the COVID-19 pandemic impact on economic growth and sustainable development and offer recommendations on international cooperation and partnerships for saving the SDGs It article reviews estimates of the triple crisis toll on the goals implementation It then looks at the key international institutions’ initiatives to support developing countries in their response to the pandemic and associated economic shocks The article concludes by outlining priorities for strengthening international cooperation on sustainable development which include incorporation of key components of digitalization into the SDGs as concrete targets and indicators and a comprehensive G20-led debt relief initiative providing for the released funds allocation to poverty and inequality eradication, health and education – related SDGs © 2020, International Organisations Research Journal All Rights Reserved
The automated driver as a new road user

ABSTRACT Although road infrastructure has been designed to accommodate human drivers’ physiology and psychology for over a century, human error has always been the main cause of traffic accidents. Consequently, Advanced Driver Assistance Systems (ADAS) have been developed to mitigate human shortcomings. These automated functions are becoming more sophisticated allowing for Automated Driving Systems (ADS) to drive under an increasing number of road conditions. Due to this evolution, a new automated road user has become increasingly relevant for both road owners and the vehicle industry alike. While this automated driver is currently operating on roads designed for human drivers, in the future, infrastructure policies may be designed specifically to accommodate automated drivers. However, the current literature on ADSs does not cover all driving processes. A unified framework for human and automated driver, covering all driving processes, is therefore presented. The unified driving framework, based on theoretical models of human driving and robotics, highlights the importance of sensory input in all driving processes. How human and automated drivers sense their environment is therefore compared to uncover differences between the two road users relevant to adapt road design and maintenance to include the automated driver. The main differences identified between human and automated drivers are that (1) the automated driver has a much greater range of electromagnetic sensitivity and larger field of view, and (2) that the two road users interpret sensory input in different ways. Based on these findings, future research directions for road design and maintenance are suggested.
Growth mechanisms of spatially separated copper dendrites in pores of a SiO2 template

Abstract n-Si/SiO2(Cu) structures with different morphologies of copper deposits are produced using the template synthesis method. Deposition of Cu nanostructures and their structural features is thoroughly studied, and mechanisms for the formation of compact and dendrite-like deposits in the pores of the SiO2 template on the n-type single-crystal silicon substrate are established. Spatially separated copper dendrites are obtained and used to investigate the efficiency of Raman scattering enhancement using the aqueous solution of the Rhodamine 6G dye.
Traffic Flow Prediction via Spatial Temporal Neural Network "ResLS-C"

The ResLS-C model is proposed in this paper combining with ResNet, LSTM and Deconvolution. The model not only fully captures the spatial and temporal characteristics of traffic flow, but also improves the interpretability and visibility of spatial traffic flow prediction, and carries out spatial analysis by Pearson index. From the simulation results, the accuracy of the model we proposed in this paper is higher than many traditional deep learning methods such as LSTM+CNN, it brings practical and effective results for intelligent transportation.The specific design idea of this paper is as follows: the vehicle trajectory data is transformed into a two-dimensional feature matrix. The overall spatial features of the research area can be extracted from the residual network, which can extract the high-level spatial features and solve the shortcoming of CNN gradient dissipation. LSTM is used to mine the time series characteristics of traffic flow. By deconvolution operation, the feature properties in the hidden layer of convolution are restored to the original space, which makes it more accurate to calculate the loss of the true value and the predicted value. Moreover, it can effectively improve the intuitiveness, interpretability, operability and accuracy of the spatiotemporal prediction model.
Molecular dynamics simulation study on the structure II clathrate-hydrates of methane + cyclic organic compounds

ABSTRACT The ternary structure II (sII) clathrates of methane + cyclic organic compounds (COCs) are studied using molecular dynamics (MD) simulations. The results show that the COC guest molecules have a stabilizing effect on the clathrate-hydrate and stability of the unit cell decreases upon replacing more COC guest molecules in the large cages by CH4 molecules which is confirmed by the comparison of radial distribution functions and unit cell volumes of the different occupancy cases. The maximum methane storage capacity for sII in the presence of tetrahydropyran, cyclobutanone, and cyclohexane are 11.9, 10.5, and 9.6 wt% of methane gas, respectively.
The Importance of Orofacial Motricity in the Work of Confirmation of Transgender Voice: An Integrative Review

Volume 2(4): 1-6 J Med Healthcare 2020 ABSTRACT The voice is a manifestation of the muscular process, but with psychological basis, thus being an important aspect in performance and gender recognition. The transgender person finds him/herself in biological bodies not recognized by him/her. Many of them undergo hormone treatments and surgeries to suit their gender identity and value interventions in their body and voice.
Does the residual effect of n-fertilization applied on corn phase maintain forage production of the following pasture phase in an integrated crop-livestock system?

Nutrient cycling represents an important nutrient source in the Integrated CropLivestock Systems (ICLS). In general, only the crop phase of the ICLS is fertilized, however little is known about this residual effect of nitrogen fertilization from summer crop to succeeding winter pasture. This research aimed to evaluate the forage growth dynamic and botanical composition of a mixed pasture of black oat (Avena strigosa Schreb) and ryegrass (Lolium multiflorum Lam.) affected by two canopy height managements (high and low) and nitrogen fertilization applied to either the summer crop (corn) or winter pasture phase of an ICLS. The experiment was established in 2012 in southern Brazil. Black oat and ryegrass were growing during winter season and corn (Zea mays L.) during summer season, being this paper related to the 2014 pasture period. Treatments were composed by two canopy heights (25 and 10 cm) and two N-Fertilization Times (N-Pasture or N-Corn) of 200 kg of N ha. Canopy height was regulated by beef steers grazing through continuous stocking with a variable stocking rate. Forage mass was lower in the 10 cm canopy height on average, however this forage mass was composed by greater proportion of ryegrass leaves and lower proportion of dead material in relation to the treatment with 25 cm canopy height. The N-fertilization applied directly on pasture phase (NPasture) increased forage mass, tiller population density, participation of ryegrass and ryegrass leaf proportion in the forage mass. Furthermore, when pasture was fertilized with N, the forage accumulation rate increased about 69%, highlighting that the corn N-fertilization did not present significant effect on forage productivity. The residual effect of corn N-fertilization was not enough to maintain high forage accumulation. Thus, the pasture N-fertilization is fundamental to keep high-productive crop-livestock system.
Network Pharmacology study on the mechanism of MKA Polyherbal Formulation in combating Respiratory Diseases

The Multi-targeted action of Polyherbal formulation is responsible for enhanced therapeutic efficacy in combating various diseases. But, understanding the mode of action of herbal medicine remains a challenge because of its complex metabolomics. Network pharmacology-based approach enables to explore the mechanism of action of polyherbal formulation in biological system. In present investigation, we have explored the molecular mechanism of action of the Polyherbal formulation MKA comprising of three botanicals Mimusops elengi L. , Kedrostis foetidissima (Jacq.) Cogn. and Artemisia vulgaris L. in treating respiratory diseases by network pharmacology-based approach. The protein targets were mined from Binding database for the bioactive present in MKA. The disease associated targets were identified using Open target Platform. Based on ligand-target interactions, it was interpreted that MKA could alleviate the symptoms of respiratory disease by multiple mechanisms like EGFR inhibition by Quercetin and Quercetin-3-O-rhamnoside, KDR inhibition by Quercetin, STAT-3 inhibition by β-sitosterol- β-Dglucoside, TRPV1 inhibition by phytol acetate, etc. The Protein-protein interaction (PPI) network was constructed using STRING database. KEGG pathway based functional enrichment was also predicted for the PPI network. It was found that multiple ligand-target interactions and protein-protein interactions is responsible for pharmacological activity of MKA in respiratory diseases.
Novel Resistive Sensor Design Utilizing the Geometric Freedom of Additive Manufacturing

Direct additive manufacturing (AM) of sensors has in recent years become possible, but still remains a largely unexplored area. This work proposes a novel resistive sensor design that utilizes the geometric freedom offered by AM, especially by material extrusion, to enable a customizable and amplified response to force and deformation. This is achieved by using a multi-material design made of an elastomer and an electrically conductive polymer that enables a physical shortening of the conductive path under compressive load through a specific definition of shape. A number of different variants of this novel sensor design are tested, measuring their mechanical and electrical behavior under compression. The results of these tests confirm a strong resistive response to mechanical loading. Furthermore, the results provide insight into the influencing factors of the design, i.e., the gap size between the conductive pathing and the stiffness of the sense element support structure are found to be primary influencing factors governing sensor behavior.
Were springline carbonates in the Kurkur–Dungul area (southern Egypt) deposited during glacial periods?

The tufa deposits in the Kurkur–Dungul area, southern Egypt, date from marine isotope stage (MIS) 11 to MIS 1. Springs across the region were active during glacial periods (with sea-level below –50 m), reflecting changed atmospheric circulation over the Indian Ocean, as well as peak interglacial periods. During times of low sea-level, reduced Indonesian throughflow promoted formation of an Indian Ocean Warm Pool, and anomalous rainfall on its western margin. We suggest that Egypt lies at the intersection of westerly (‘maghrebian’) and easterly (‘mashriqian’) rainfall provinces, which show different timing with relation to orbital forcing and different source water regions. Tufa-growth periods are therefore not mechanistically linked to ‘humid periods’ or ‘sapropel events’ identified elsewhere. Stable isotope and T(Δ47) data are also inconsistent with these spring systems being part of a larger system spanning northern Africa, and lack a clear interaction between northern hemisphere heating and mid-latitude rainfall. We also follow previous researchers in concluding that formation of springline deposit formation was probably delayed compared with rainfall, owing to aquifer flow distances. This delay is unlikely to be sufficient to explain why rainfall is out of phase with movements of the monsoon belts, but may complicate interpretation of these records. Supplementary material: A lithofacies description and supplementary figures and tables are available at https://doi.org/10.6084/m9.figshare. c.5246661
Parallel Synthesis of Pyrrolo[3,2-f]quinolines (PQQ Skeleton) Library via a One-Pot Three-Component Reaction under Catalyst-Free Conditions

An efficient and straightforward synthetic protocol was developed for the diversity-oriented synthesis of 13-aryl-6,13-dihydrochromeno[4,3-b]pyrrolo[3,2-f]quinolin- 12(3H)-one and 10-aryl-3H-furo[3,4-b]pyrrolo[3,2-f]quinolin-9(7H)-one derivatives (PQQ skeleton) in high yields under catalyst-free conditions. This procedure includes a one-pot three-component reaction of aromatic aldehyde, 1H-indol-5-amine, and 1,3-dicarbonyl compounds to generate total of 25-Membered structurally interesting and pharmacologically significant PQQ skeletons for bio-active screening.
Enrichment of Sawahlunto Clay with Cation Ca2+ and Cu2+ and Preliminary Test of its Catalytic Activity in CPO Transesterification Reaction

This research is aimed to examine the catalytic activity of Sawahlunto clay, which is enriched with Ca 2+ and Cu 2+ transesterification of Crude Palm Oil (CPO) to produce biodiesel. Based on the results of the analysis with X-Ray Fluorescence (XRF) and X-Ray Diffraction (XRD), Sawahlunto clay consists of about 61% Si and 24% Al with a Si/Al mole ratio of 2.7 and typical clay mineral consisting of kaolinite and illite, another mineral fund was quartz and goethite. The mineral composition changes after calcination, where kaolinite and illite disappeared. Fourier Transform Infrared (FTIR) analysis shows that calcination can remove the organic compounds Sawahlunto clay; thus, the clay was used without calcination for the next step. Clay samples can be enriched with Ca 2+ ions and Cu 2+ ions without damaging their mineral composition, where more Cu 2+ ions are loaded than Ca 2+ ions. The Sawahlunto clay enriched with Ca 2+ ions showed a slightly better catalytic activity in the transesterification of crude palm oil (CPO) than its parent clay; when enriched with Cu 2+ ions, the catalytic activity did not appear at all. However, the homogeneous counterpart of such catalyst, calcium nitrate, was still the most active and selective compared to all others
Occurrence of Corica soborna Hamilton, 1822 (Clupeiformes: Clupeidae) in the Godavari basin, India

We record for the first time, Corica soborna Hamilton, 1822 from Godavari River, based on a single specimen collected from stream near Talai Village, Kumaram Bheem Asifabad District of Telengana State. In addition to a detailed description of its morphological characters, we also provide details on distribution, habitat and threats to the species.
Enhanced Low-Frequency Ride-Through for Speed-Sensorless Induction Motor Drives With Adaptive Observable Margin

For speed-sensorless induction motor (IM) drives, the observability of rotor speed is still a challenging problem under steady-state operations at low synchronous frequencies. To cope with this problem, an enhanced magnetizing current-oriented low-frequency ride-through method is proposed for adaptive full-order observers to ensure the observability of rotor speed. The adaptive changes of magnetizing current reference are generated to maintain the speed observable margin near zero synchronous frequency. Compared with existing methods, it avoids the noises caused by direct rotor flux reference calculation. In addition, the feedback matrix is employed to narrow the unstable regenerating region, and enlarge the observable margin. Addressing the detailed implementation, the analyses are provided with respect to output torque constraint, magnetizing current selection, and observability. Finally, the effectiveness of proposed method is validated on a 2.2 kW IM experimental bench during low-frequency ride-through.
Comparative kinetic study of copper extraction by liquid ion exchange reagents with a rotating diffusion cell

A rotating diffusion cell with a porous hydrophobic membrane was used to study the kinetics of liquid/liquid extraction of copper ions from aqueous acidic solutions by commercially important liquid ion exchange reagents (LIX), representatives of three extractant classes: aldoxime (LIX 860N-1), ketoxime (LIX 84-1 and LIX 65N) and mixture of them (LIX 984N). The reaction order in respect to copper, LIX and hydrogen cation concentrations was determined and compared in the following concentration ranges: pH = 14, copper concentration - from 7.86 mol.m - 3 to 157.38 mol.m - 3 and LIX-concentration from 5% to 20% (w/v). The relative low values of the activation energies obtained revealed that diffusion processes have a considerable effect on the copper extraction kinetics with LIX-reagents.