Flexible and wearable electronics have attracted significant attention for their potential applications in wearable human health monitoring, care systems, and various industrial sectors.The exploration of wearable strain sensors in diverse application scenarios is a global issue, shaping the future of our intelligent community.However, current stat
Transition into Veganism: Drivers of Vegan Diet Consumption
compounds used to boost crop productivity have stimulated consumer and marketer interest in organic food.Organic Tweeter ingredients are generally viewed as more nutritious, cheaper, cleaner and more environmentally sustainable.Society is currently witnessing a revolution in food intake and habits as people grow more health-conscious.Plant-based di
Elimination testing with adapted scoring reduces guessing and anxiety in multiple-choice assessments, but does not increase grade average in comparison with negative marking.
BACKGROUND AND HYPOTHESES:This study is the first to offer an in-depth comparison of elimination testing with the scoring rule of Arnold & Arnold (hereafter referred to as elimination testing with adapted scoring) and negative marking.As such, this study is motivated by the search for an alternative for negative marking that still discourages guess
Automatic Modulation Classification for Adaptive OFDM Systems Using Convolutional Neural Networks With Residual Learning
Automatic modulation classification (AMC) is becoming a promising technique for future adaptive wireless transceiver systems.The existing blind modulation classification (BMC) methods for orthogonal frequency division multiplexing (OFDM) fail to achieve the required performance Leave in conditioner by using statistical-based methods.Thus, the modul