Miracle-dz/UniFAR-FTUs huggingface dataset:
Doubled haploid production in advanced back cross generations and molecular cytogenetic characterization of rye chromatin in triticale �wheat derived doubled haploid lines

The rye genome has shown potential for improvement of bread wheat, where wheat-rye substitutions and translocations have been and are frequently used in resistance breeding. Crosses belongs to different generations viz., BC1F1, BC1F2, BC1F3, BC1F4 and BC2F3 of triticale × wheat derived were used for different haploid induction parameters using Gogon grass (Imperata cylindrica) as a pollen source. The percentage of pseudo seed formation ranged from 34.55% for BC1F2 to 63.77 for BC1F1 crosses, the haploid embryo formation ranges from 9.43% for BC1F1 to 30.2% for BC1F2, the haploid plant generation ranges from 19.36% for BC1F2 to 63.25% for BC1F1. Four doubled haploids were developed from ITSN 105/58 VL 802 VL 802 of BC2F3 underwent molecular cytogenetic analyses using the probes, viz., rye genomic rDNA, pSc 119 and pAs1. FISH and GISH analysis revealed an IBL.1RS translocation and substitution of 5R chromosome instead of the 5D chromosomes in these doubled haploids. Abbreviations FISH: Fluorescence in situ hybridization GISH: Genotypic in situ hybridization 2,4-D: 2,4-dinitrophenylhydrazine SSC: Saline sodium citrate, BSA: Bovine serum albumin, DAPI: 4’,6-diamidino-2-phenylindole
Biopolymer Hydrogel Scaffolds Containing Doxorubicin as A Localized Drug Delivery System for Inhibiting Lung Cancer Cell Proliferation

A hydrogel scaffold is a localized drug delivery system that can maintain the therapeutic level of drug concentration at the tumor site. In this study, the biopolymer hydrogel scaffold encapsulating doxorubicin was fabricated from gelatin, sodium carboxymethyl cellulose, and gelatin/sodium carboxymethyl cellulose mixture using a lyophilization technique. The effects of a crosslinker on scaffold morphology and pore size were determined using scanning electron microscopy. The encapsulation efficiency and the release profile of doxorubicin from the hydrogel scaffolds were determined using UV-Vis spectrophotometry. The anti-proliferative effect of the scaffolds against the lung cancer cell line was investigated using an MTT assay. The results showed that scaffolds made from different types of natural polymer had different pore configurations and pore sizes. All scaffolds had high encapsulation efficiency and drug-controlled release profiles. The viability and proliferation of A549 cells, treated with gelatin, gelatin/SCMC, and SCMC scaffolds containing doxorubicin significantly decreased compared with control. These hydrogel scaffolds might provide a promising approach for developing a superior localized drug delivery system to kill lung cancer cells.
Cognition and Interaction: From Computers to Smart Objects and Autonomous Agents

document/6547194/ Hinton, G. , Deng, L. , Yu, D. , Dahl, G. , Mohamed, A. R. , Jaitly, N. , et al. (2012). Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. IEEE Signal Process. Mag. 29, 82–97. doi: 10.1109/MSP.2012. 2205597 Holland, M. V. , Sams, M. R. , and Kaplan, J. D. (2013). Intelligent Language Tutors: Theory Shaping Technology. Available online at: http://books.google. com/ books? hl=enandlr=andid=Db9dAgAAQBAJandoi=fndandpg=PP1andots= ZVkvAFWNfzandsig=mYinl4JTfiNalluHWsiTv0BhDBs Inkster, M. , Wellsby, M. , Lloyd, E. , and Pexman, P. M. (2016). Development of embodied word meanings: sensorimotor effects in children’s lexical processing. Front. Psychol. 7:317. doi: 10.3389/fpsyg.2016. 00317 Kelly, S. D. , Ozyürek, A. , and Maris, E. (2010). Two sides of the same coin: speech and gesture mutually interact to enhance comprehension. Psychol. Sci. 21, 260–267. doi: 10.1177/0956797609357327 Klooster, N. B. , Cook, S. W. , Uc, E. Y. , and Duff, M. C. (2014). Gestures make memories, but what kind? Patients with impaired procedural memory display disruptions in gesture production and comprehension. Front. Hum. Neurosci. 8:1054. doi: 10.3389/fnhum.2014. 01054 Kollorz, E. , Penne, J., Hornegger, J., and Barke, A. (2008). Gesture recognition with a Time-Of-Flight camera. Int. J. Intell. Syst. Technol. Appl. 5: 334. doi: 10.1504/IJISTA.2008. 021296 Kroenke, K. M. , Kraft, I. , Regenbrecht, F. , and Obrig, H. (2013). Lexical learning in mild aphasia: gesture benefit depends on patholinguistic profile and lesion pattern. Cortex 49, 2637–2649. doi: 10.1016/j.cortex. 2013.07. 012 Kurland, J., Wilkins, A. R. , and Stokes, P. (2014). iPractice: Piloting the effectiveness of a tablet-based home practice program in aphasia treatment. Semin. Speech Lang. 35, 51–63. doi: 10.1055/s-0033-1362991 Lakoff, G. (2012). Explaining embodied cognition results. Top. Cogn. Sci. 4, 773–785. doi: 10.1111/j.1756-8765.2012. 01222.x Lavoie, M. , Routhier, S. , Légaré, A. , and Macoir, J. (2016). Treatment of verb anomia in aphasia: efficacy of self-administered therapy using a smart tablet. Neurocase 22, 109–118. doi: 10.1080/13554794.2015. 1051055 Lippmann, R. (1987). An introduction to computing with neural nets. IEEE ASSP Mag. 4, 4–22. doi: 10.1109/MASSP.1987. 1165576 Lubecke, O. B. , Ong, P. W. , and Lubecke, V. M. (2002). “10 GHz Doppler radar sensing of respiration and heart movement,” in Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC, Vol. 2002 (Janua, IEEE),
Multi-taxa ecological responses to habitat loss and fragmentation in western Amazonia as revealed by RAPELD biodiversity surveys

ABSTRACT Habitat loss and fragmentation caused by deforestation are important anthropogenic drivers of changes in biodiversity in the Amazon rainforest, and has reached its highest rate in recent decades. However, the magnitude and direction of the effects on species composition and distribution have yet to be fully understood. We evaluated the responses of four taxonomic groups − birds, amphibians, orchid bees, and dung beetles - to habitat loss and fragmentation at both species and assemblage level in the northern Ecuadorian Amazon. We sampled fifteen 250-m long plots in terra-firme forest remnants. We calculated one landscape fragmentation index (fragindex), which considers the proportion of continuous forest cover, edge density and isolation in the landscape, and nine landscape configuration metrics. Logistic regression models and multivariate regression trees were used to analyze species and assemblage responses. Our results revealed that over 80% of birds, amphibians or orchid-bee species, and 60% of dung beetles were negatively affected by habitat loss and fragmentation. Species composition of all taxonomic groups was significantly affected by differences in forest cover and connectivity. Less than 5% of all species were restricted to landscapes with fragindex values higher than 40%. Landscape metrics related to the shape and area of forest patches determined the magnitude and direction of the effect on species responses. Therefore, changes in the landscape configuration of Ecuadorian Amazonia should be minimized to diminish the effects of habitat loss and fragmentation on species occurrence and assemblage composition.
Analysis of the Tax Compliance in the EU: VECM and SEM

Tax compliance is an important indicator for the proper functioning of the tax authority, influencing the budget revenue level. In this study, a Vector Error Correction Model (VECM) analysis was developed to identify the long-term relationships between the compliance in individual income taxation (taxpayer’s behavior), public trust in politicians (trust in authorities), and rule of law (power of the authorities), using unbalanced panel data for the European Union (EU28) during the 2007–2017 period. The results underline the causality of the long-run relationships between the variables. The results of the VECM analysis underline the need for various support measures for voluntary tax compliance, with the trust variable having an important impact on tax compliance. In addition, a Structural Equation Modeling (SEM) analysis was employed using an improved data set with variables such as the compliance in corporation taxation (taxpayer’s behavior), wastefulness of government spending, and quality of the education system. The results of the SEM analysis underline the positive and significant influences of the variables on tax compliance.
Condensed Internet-delivered prolonged exposure provided soon after trauma: a randomised trial

Abstract Background Exposure to trauma is common and can have a profoundly negative impact on mental health. Interventions based on trauma-focused cognitive behavioural therapy have shown promising results to facilitate recovery. The current trial evaluated whether a novel, scalable and digital early version of the intervention, Condensed Internet-Delivered Prolonged Exposure (CIPE), is effective in reducing post-traumatic stress symptoms. Method A single-site randomised controlled trial with self-referred adults (N = 102) exposed to trauma within the last 2 months. The participants were randomised to 3 weeks of CIPE or a waiting list (WL) for 7 weeks. Assessments were conducted at baseline, week 1–3 (primary endpoint), week 4–7 (secondary endpoint) and at 6-month follow-up. The primary outcome measure was PTSD Checklist for DSM-5 (PCL-5). Results The main analysis according to the intention-to-treat principle indicated statistically significant reductions in symptoms of post-traumatic stress in the CIPE group as compared to the WL group. The between-group effect size was moderate at week 3 (bootstrapped d = 0.70; 95% CI 0.33–1.06) and large at week 7 (bootstrapped d = 0.83; 95% CI 0.46–1.19). Results in the intervention group were maintained at the 6-month follow-up. No severe adverse events were found. Conclusions CIPE is a scalable intervention that may confer early benefits on post-traumatic stress symptoms in survivors of trauma. The next step is to compare this intervention to an active control group and also investigate its effects when implemented in regular care.
Thermodynamic and thermophysical properties Vaporization and thermodynamics of glasses and glass-forming melts in ternary oxide systems

Innovation development of the approaches for preparation and application of advanced materials requires the knowledge on vaporization processes and thermodynamic properties of glass-forming oxide systems. Th ese data obtained by high temperature mass spectrometric method in the PbO-B2O3-SiO2, ZnO-B2O3-SiO2, CdO-B2O3-SiO2, Bi2O3-B2O3-SiO2, Bi2O3-GeO2-SiO2 glass-forming systems are discussed. Th ermodynamic functions of glass-forming melts in these systems such as activities and chemical potentials of components as well as the Gibbs energies showed various signs of the deviations from the ideal behavior. For modeling of thermodynamic properties of glasses and melts studied the theory of the generalized lattice theory of associated solutions was used. Based on this model the diff erent levels of deviations from the ideality in the glass-forming oxide melts under consideration were clarifi ed.
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

The rapid growth of transportation sector and related emissions are attracting the attention of policymakers to ensure environmental sustainability. Therefore, the deriving factors of transport emissions are extremely important to comprehend. The role of electric vehicles is imperative amid rising transport emissions. Electric vehicles pave the way towards a low-carbon economy and sustainable environment. Successful deployment of electric vehicles relies heavily on energy consumption models that can predict energy consumption efficiently and reliably. Improving electric vehicles’ energy consumption efficiency will significantly help to alleviate driver anxiety and provide an essential framework for operation, planning, and management of the charging infrastructure. To tackle the challenge of electric vehicles’ energy consumption prediction, this study aims to employ advanced machine learning models, extreme gradient boosting, and light gradient boosting machine to compare with traditional machine learning models, multiple linear regression, and artificial neural network. Electric vehicles energy consumption data in the analysis were collected in Aichi Prefecture, Japan. To evaluate the performance of the prediction models, three evaluation metrics were used; coefficient of determination (R2), root mean square error, and mean absolute error. The prediction outcome exhibits that the extreme gradient boosting and light gradient boosting machine provided better and robust results compared to multiple linear regression and artificial neural network. The models based on extreme gradient boosting and light gradient boosting machine yielded higher values of R2, lower mean absolute error, and root mean square error values have proven to be more accurate. However, the results demonstrated that the light gradient boosting machine is outperformed the extreme gradient boosting model. A detailed feature important analysis was carried out to demonstrate the impact and relative influence of different input variables on electric vehicles energy consumption prediction. The results imply that an advanced machine learning model can enhance the prediction performance of electric vehicles energy consumption.
APPLICATION OF SOFTWARE IN THE DIAGNOSIS OF HEARING IMPAIRMENT

Aim of this paper was to examine effectiveness and efficiency of examination of hearing status of persons with hearing impairment in form of applicable diagnostic software, in relation to classical approach. Sample was comprised of 90 respondents and was formed out of two subsamples. First subsample was comprised of 45 students with hearing impairment with a degree of impairment of over 80 dB, both genders, age from 6 to 15 years and without any other disabilities. Second subsample was comprised of 45 students (absolvents) from department of audiology. For data gathering, audiogram, applicable diagnostic software and scale for evaluation of attention and cooperation were used. Data was processed with descriptive analysis, McNemar and Wilcoxon tests. Results of the research confirmed that applicable diagnostic software provide more effective and more efficient diagnostic procedures for examining hearing status of persons with hearing impairment in relation to classical approach.
The Conformist Attitudes Scale (SPK-II). Latent Structure Analysis Using the Bi-Factor Model

The aim of this article is to present the evaluation of psychometric properties of an original tool for measuring the propensity to adopt conformist attitudes in adolescents the Conformist Attitudes Scale (SPK-II). The objective was achieved based on the results of exploratory (EFA) and confirmatory (CFA) factor analysis using a bi-factor model. Analyses were performed on a polychoric correlation matrix using the WLSMV estimator. The Geomin oblique rotation was used for the EFA. Data for the validation study were collected in Poland in 2012 and 2020 from 256 and 245 students aged 16-19, respectively. Of the solutions tested, the bi-factor model proved to be the best fit to the data (RMSEA = 0.052; CFI = 0.964; TLI = 0.953). Based on the Cronbach’s alpha coefficient, coefficients omega (ω), and ECV, the scale was found to have high reliability. At the same time, the stability of the scale’s latent structure, its dimensionality and reliability were positively verified by comparing the estimates for the data from 2012 and 2020. METODY ZBIERANIA I ANALIZY DANYCH W BADANIACH EDUKACYJNYCH 230 The analyses conducted allowed the researchers to assume that the SPK-II latent factor structure model consists of a general factor and three subfactors. The subfactors correspond to subscales which measure specified attributes of a general propensity to adopt conformist attitudes: lack of self-confidence, submissiveness to others and passivity in expressing one’s own views. The SPK-II fills a gap consisting in the absence of standardized research tools whose diagnostic spectrum is concerned with measuring the general propensity to adopt conformist attitudes in adolescents, taking into account attributes around which the conformity is focused. Its application enables studying conformity as an important adaptation mechanism in adolescence and predicting individual behaviour in various social situations related to participation in peer groups.
The role of new technologies in understanding the building energy performance: A comparative study

This paper aims to understand the most important factors affecting the building energy performance as well as the role of a high performant construction in reducing the energy consumption. To be able to carry out this study, some new technologies such as a 3D scanner and energy simulation software were used. The results of the study show that a performant construction doesn’t necessarily optimize the consumption. Other factors mainly related to the occupation are playing a big role in the final consumption.
Water Erosion, its Relationship to Total Suspended Solids and Water Quality in the Lower Basin of the Usumacinta River, Tabasco, Mexico

Total suspended solids are an indicator of material constituted by sedimentable solids, suspended solids, and colloidal, whose origin is erosion, wastewater discharges, and agricultural waste. The objective of this research was to determine territorial water erosion, its relation with total suspended solids, and the water quality in the lower basin of the Usumacinta River in Tabasco. Three sampling points were established, located in the municipalities of Tenosique, Emiliano Zapata, and Jonuta, in the state of Tabasco. Water samples were collected during 12 monthly sampling campaigns in an annual cycle, and the total suspended solids were determined according to the provisions of the NMX-AA-034-SCFI-2015 standard. Water erosion was calculated based on the Universal Soil Loss Equation (USLE) and with the use of geographic information systems (GIS). The results obtained were statistically analyzed, finding that the measured maximum TSS concentrations are 130.92 mg.L-1 in Boca del Cerro, 165.28 mg.L-1 in Chablé, and 113.91 mg.L-1 in Jonuta which are within the permissible concentrations for protection of freshwater aquatic life and agricultural irrigation according to ecological criteria of water quality (CE-CCA-001/89), in Mexico. The lower basin of the Usumacinta River has areas with extreme erosion (990 tons.ha-1yr-1), with conditions that accelerate the erosion process, such as annual rainfall between 1805 mm and 2250 mm, clay soils located on slopes greater than 16%, and agricultural soils. These events cause loss of the soil fertile layer where agriculture is developed, also giving rise to the accelerated transport of suspended solids; which negatively alter the quality of the water of the Usumacinta River.
Recent Development of Zeolitic Imidazolate Frameworks (ZIFs) Derived Porous Carbon Based Materials as Electrocatalysts

Development of effective, stable, and economic electrocatalysts is critical for further implementation of fuel cells, water electrolysis, and metal–air batteries in clean energy conversion technologies. As a subfamily of metal–organic frameworks (MOFs), zeolitic imidazolate frameworks (ZIFs) possess the characteristics of both MOFs and zeolites, showing highly porous structures, large surface area, and open catalytic active sites. This review presents materials design strategies for constructing improved electrocatalysts based on ZIF precursors/templates, with special emphasis on the varieties of derivatives, controllable building of active sites, the construction of macroscopic structure, and the favored electrocatalytic reactions based on these materials. These ZIF‐derived N‐doped carbon‐based composites or compounds have exhibited remarkable activity and stability for a broad electrocatalysis application, displaying great potential to replace noble‐metal‐based catalysts. The challenges and perspectives regarding ZIF‐derived electrocatalysts are also discussed for better development of ZIF‐derived electrocatalysts.
Airport

111 INSPECTOR: ( N ) 112 LAST INSP: 113 LAST INFO REQ: 07/15/1976 A 017 PPR DSN 366-4188/5212, NOT RQR FOR AMC MSN. A 031 <1013' OVRN SW END RWY 06L/24R. A 049 RWY 24L MOD 1300' LENGTH. A 110-001 FREQUENT RAIN SHOWERS OF SHORT DURATION, EXPECT WET RWY BRAKEING ACTION. A 110-002 HAZUS AIR TURB FINAL APCH RWYS 24L/24R. NO VSBY REF AVBL ON NGT TKOF BYD END RWY 6. A 110-003 A-GEAR BAK-12 RWYS 06L & 06R 30 MIN NTC RQR. A 110-004 AREA BTN 1000' ROLL BAR AND THU LGT RWY 06R AND 06L UNLGTD. LAST 642' PRIOR TO THU LGT 24R UNLGTD. A 110-005 MAINT AVBL 0100-0400 WEEKDAY ONLY; CLOSED WEEKEND & HOL. A 110-006 BASE OPS V366-4188; FAX V366-6217. A 110-007 TWY B AND C BTN TWY J AND K CLSD DUE TO CONSTRUCTION. A 110-008 NO ARRESTING GEAR MARKERS LOCATED ON THE LEFT SIDE OF ALL APPROACH END BARRIERS. A 110-010 RSTD: BA ON BOTH RWYS MAY BE LESS THAN EXP DUE TO RUBBER BUILD-UP; PROBABILITY OF HYDROPLANING EXISTS. A 110-012 RSTD: ALL AEROMEDICAL EVAC MSN ARE RQRD TO CTC COMD POST (DSN 366-2961, C671-366-2961) BY ANY MEANS AVAIL 3 HRS PRIOR TO ARR. ALL ACFT RQRD TO MAKE CALL 30 MIN PRIOR TO ARR.
A Benchmarking analysis of analytical and advanced nonlinear tracking control techniques

This paper aims at studying two advanced techniques that are used in control theory of nonlinear affine systems. These later techniques tackle the problem of the trajectory tracking with high steady state performances. The objective of this work is to compare and analyze the dynamical behavior of the desired output when controlled by the gain scheduling method and afterward with a neural control approach. Both techniques are evaluated through a numerical simulation study of a photovoltaic system, which is characterized by hard nonlinear features and challenges. The efficiency and limitations of both techniques are accurately discussed.
MIMO broadcast scheduling using binary spider monkey optimization algorithm

Multi‐user multiple‐input multiple‐output (MU‐MIMO) system has the capability of delivering optimal system capacity that provides the simultaneous service to a large number of users using dirty paper coding (DPC) scheme. However, the DPC scheme is quite difficult to be implemented in the real‐time scenario as the computational complexity is very high and the process cannot be accomplished within the duration of few coherence periods. In this paper, we have adopted a newly developed binary spider monkey optimization (binary SMO) algorithm for the joint user and antenna scheduling (JUAS) problem to maximize the achievable system sum‐rate performance. It has been shown that JUAS with binary SMO achieves nearly 99% of system throughput achieved by the extensive search algorithm (ESA) using DPC. Also it is compared with binary flower pollination algorithm (binary FPA) to check which of the two gives better result. It is observed that the binary SMO in JUAS achieves a globally optimal solution quite rapidly, to remain well within the modern‐day packet data communication interval. The proposed binary SMO shows low computational complexity and computation time as compared to ESA (i.e., DPC). Also when it is compared with binary FPA, it shows quite a significant improvement in system throughput. Moreover, the effectiveness of binary SMO in the MU‐MIMO broadcasting scenario is verified through extensive simulation results.