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This paper presents an innovative approach for the Feature Extraction method using Self-Attention, incorporating various Feature Selection techniques known as the AtSiftNet method to enhance the classification performance of motor imaginary activities using electrophotography (EEG) signals. Initially, the EEG signals were sorted and then denoised using multiscale principal component analysis to obtain clean EEG signals. However, we also conducted a non-denoised experiment. Subsequently, the clean EEG signals underwent the Self-Attention feature extraction method to compute the features of each trial (i.e., 350 × 18 ). The best 1 or 15 features were then extracted through eight different feature selection techniques. Finally, five different machine learning and neural network classification models were employed to calculate the accuracy, sensitivity, and specificity of this approach. The BCI competition III dataset IV-a was utilized for all experiments, encompassing the datasets of five volunteers who participated in the competition. The experiment findings reveal that the average accuracy of classification is highest among ReliefF (i.e., 99.946 % ), Mutual Information (i.e., 98.902 % ), Independent Component Analysis (i.e., 99.62 % ), and Principal Component Analysis (i.e., 98.884 % ) for both 1 and 15 best-selected features from each trial. These accuracies were obtained for motor imagery using a Support Vector Machine (SVM) as a classifier. In addition, five-fold validation was performed in this paper to assess the fair performance estimation and robustness of the model. The average accuracy obtained through five-fold validation is 99.89 % . The experiments' findings indicate that the suggested framework provides a resilient biomarker with minimal computational complexity, making it a suitable choice for advancing Motor Imagery Brain–Computer Interfaces (BCI). [ABSTRACT FROM AUTHOR]

In the process of heat treatment of 8620 low alloy steel, the heating rate is a critical parameter that must be carefully controlled to achieve the desired combination of microstructural features, mechanical properties, and corrosion resistance while simultaneously ensuring process efficiency and cost-effectiveness. This study investigates, for the first time, the microstructural evolution and electrochemical properties of 8620 steel under identical quenching and tempering heat treatment routes with slow-rate (SR) and fast-rate (FR) heating rates. Microstructural analysis revealed martensitic phases for SR, while FR exhibited a dual-phase microstructure containing ferrite. Upon tempering, for both samples, the martensite transformed into tempered martensite, with tempered (Temp) FR exhibiting around 50% smaller ferrite grains. Mechanical testing indicated that SR had 17% higher hardness than FR, although hardness decreased after tempering by 22% (SR) and 17% (FR). All electrochemical tests indicated that the as-quenched SR exhibited significantly superior corrosion resistance than FR. For instance, the polarization resistance of SR was 440 Ω higher than that of the FR samples. Tempering resulted in a considerable decrease in corrosion resistance for Temp SR, whereas Temp FR improved. Electrochemical characterization revealed Temp FR displayed close-to-ideal capacitive behavior and low double-layer capacitance, indicating enhanced overall corrosion resistance. [ABSTRACT FROM AUTHOR]

Pakistan is spatially a diverse state in terms of location of its economic activities and regional disparities in various dimensions of development have been a vital concern in its history. The article aims to analyze the distribution of household welfare index across 97 districts of Pakistan through exploratory spatial data analysis for periods 2004-05 and 2014-15. For this purpose, an augmented Household Welfare index is constructed for measuring Household Welfare across districts. The index consists of consist of five indicators. Final index is obtained by aggregating these indicators through Principal Component Analysis (PCA). Findings of the study indicate positive global autocorrelation and thus indicating that a district with a high (low) is linked spatially with bordering districts which also have high (low) Household Welfare level. The results also display the HH quadrant in scatterplots of Household Welfare Index includes mostly districts of Punjab and KP, while LL illustrates a cluster of most districts from Interior Sindh and Baluchistan for both 2004-05 and 2014-15 periods. Overall, the findings demonstrate the twofold structure of Pakistan’s economic geography, as explained by most of the previous studies. Since geography of Household Welfare matters, it is recommended to reduce across districts inequalities by developing the social and economic institutions and infrastructure in the Baluchistan and interior Sindh. [ABSTRACT FROM AUTHOR]

In this study, mechanical and electrochemical performance of borided additively manufactured (AM) and wrought 8620 low alloy steel were investigated and compared to their bare counterparts. The microstructure of borided 8620 exhibited the presence of FeB and Fe2B phases with a saw tooth morphology. Both AM and wrought samples with boride layers showed a similar performance in hardness, wear, potentiodynamic polarization (PD), electrochemical impedance spectroscopy (EIS), and linear polarization resistance (LPR) experiments. However, borided steels exhibited about an 8-fold increase in Vickers hardness and about a 6-fold enhancement in wear resistance compared to bare ones. Electrochemical experiments of borided specimens (both AM and wrought) in 0.1 M Na2S2O3 + 1 M NH4Cl solution revealed a 3–6-fold lower corrosion current density, about a 6-fold higher charge transfer resistance, and about a 6-fold lower double-layer capacitance, demonstrating an improved corrosion resistance compared to their bare counterparts. Post-corrosion surface analysis revealed the presence of thick sulfide and oxide layers on the bare steels, whereas dispersed corrosion particles were observed on the borided samples. The enhanced wear and electrochemical performance of the borided steels were attributed to the hard FeB/Fe2B layers and the reduced amount of adsorbed sulfur on their surface. [ABSTRACT FROM AUTHOR]

Global climate change is posing threats for sustainable crop production. Supra-optimal temperature and water stress are among few causes of global climate change which can cause significant damage to yield in various crop species including sunflower. Therefore, a study was initiated to develop new sunflower hybrids which may have higher seed yield and water use efficiency in current scenario of global climate change. Parental inbred lines were selected on the basis of cell membrane injury and cuticular waxes; these parental lines were used to develop various cross combinations. These cross combinations were evaluated at two locations and seasons. Some newly developed hybrids (H7, H8, H9) showed lesser days to flowering, high water use efficiency, high or comparable yield, kernel to seed% and oil contents% than high yielding commercial check Hysun.33. Water use efficiency (WUE) showed significant and high correlation with seed yield in both seasons. WUE decreased in spring season when compared with the autumn season due to high evapo-transpirational losses. General combining ability analyses showed that parental lines i.e. C.249 and RH.344 were the best combiners for water use efficiency and seed yield and may be exploited for the commercial development of drought resistant hybrids.