Redlands Community College

TFETs (Tunnel Field-Effects Transistors) are assumed to be ultra-low-power devices because they have steep subthreshold swing and a more favourable scaling characteristic. Their electrical characteristics, however, cannot be adequately simulated using extensive Technology Computer-Aided Design (TCAD) simulations, which are computationally intensive and time-consuming to analyze. In an attempt to overcome this bottleneck, a proposal for a machine learning (ML)-based surrogate modeling framework is provided where the prediction of the critical TFET properties of transfer curves, Ion, Ioff, threshold voltage (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$V_{\text{th}}$</tex>), and subthreshold swing (SS) is endeavored with the help of the Random Forest Regression (RFR) model. The data collected based on TCAD simulations and literature reports was processed, trained, and tested on various ML models such as the Artificial Neural Networks (ANN), Support Vector Regression (SVR) and RFR. The calculated R2 of the proposed RFR model was better than ANN and SVR, with a much smaller MSE (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3. 2 1} \times \mathbf{1 0}^{-\mathbf{7}}$</tex>) and an RMSE (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1. 7 9} \times \mathbf{1 0}^{-\mathbf{4}}$</tex>), showing that the model is robust and exhibits better generalization within the conditions of the devices used. Also, the ranking of intrinsic feature importance offered by RFR has a better interpretation rate and complies well with the previous findings on TCAD. These findings place RFR as a sound and efficient substitute for TFET modelling, with lower computational expense and intact physical stability, and thus add another facet and a practical approach to future device design optimization, assisted by a novel and powerful ML

Baylisascaris procyonis, the ubiquitous roundworm of raccoons (Procyon lotor), is a threat to remaining populations of Allegheny woodrat (Neotoma magister). The distribution of anthelmintic baits has been shown to be an effective management tool to support woodrat recovery. We compared the prevalence of B. procyonis eggs in raccoon feces across occupied woodrat habitat in Ohio for 3 y before and 6 y after the implementation of anthelmintic baiting. Baiting significantly reduced prevalence of B. procyonis at woodrat habitats, even in years when baiting was not implemented. We recommend anthelmintic baiting as an effective conservation strategy in areas where Allegheny woodrat populations are vulnerable.

By utilizing the IoT technology, the monitoring strategy of substation suggested in this study aims to improve the operational reliability of important substation equipment, specifically transformers, lightning arresters, circuit breakers, and batteries. The system's hardware consists of a sensor network that includes a temperature sensor, voltage sensor, and current transformer. All these sensors are interfaced with an Arduino Uno to process and acquire data in real time. Critical operating characteristics including voltage, current, and temperature are continuously monitored by these sensors to assess the condition of the substation's constituent parts. In addition, a Convolutional Neural Network (CNN) is used in this work to analyse infrared thermal images of the equipment under observation intelligently. The CNN has been trained to identify early-stage issues including insulation deterioration, overheating, or unusual heat signatures that could point to future failures. The power distribution network's overall efficiency and dependability are increased by this configuration, which enables continuous condition tracking, early problem identification, and improved situational awareness.The system can provide both real-time assessment and predictive maintenance thanks to this dual approach, which utilizes sensor-based data monitoring and deep learningdriven thermal imaging. From the results, it is demonstrated that the IoT sensors are effective in monitoring major substation equipment and CNN has provided the optimal results of more than <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{8 0 - 9 0 \%}$</tex> accuracy and F1-Score for the classification of substation components which have been observed from thermal images.

Image forgery is the most widely used technique in various applications and used in the various investigations to find the duplicate images in social media, social networking etc. Many forgery techniques are done to get the better results on finding the duplicate images. This paper, mainly focused on discussing the different strategies connected with making the fraud picture.

Over the past several years, the primary focus of emergency preparedness has been on terrorism, and how a CBRNE event would directly affect human health. Limited emphasis has been placed on the direct (eg, zoonotic infections) and indirect (eg, mental health, financial loss) effects that an agricultural emergency event can have on human health outcomes, and how they relate to emergency preparedness. We critically reviewed the resources and information readily accessible to our target audience, emergency responders; the resources included military and civilian books, personal communications, internet sites, GAO reports, and peer-reviewed journals. Among more than 2,000 bioterrorism-related articles, we found 51 that addressed either agroterrorism and/or veterinary public health: 2 cross-sectional studies, 28 review papers, and 21 commentary papers. In order to properly respond to future agriculture emergencies, emergency response professionals need to understand the nature and implications of the event as well as their roles and responsibilities, but the availability of educational and training opportunities is limited. The results of our review are consistent with the hypothesis that more resources, education, and training opportunities should be available to responders as well as to producers, importers and shippers, international travelers, and the general public. Increased education and training will raise awareness among these groups of the relationship between animal and human health.

Thank you for the invitation to address a session of your Conference on the topic “Future Trends in Education”. I am not sure of the basis of my expertise to address such a topic. It is a topic normally reserved for the gurus of academia and of educational bureaucracies. Perhaps, however, the invitation is in relation to the role of the College with which I am associated in being at the “leading edge” of developments in post-compulsory education in Australia.Perhaps before I say anything, I should direct attention to my belief in the capacity of people to respond to need. Yesterday, I sat with two of our teachers who had taken themselves off to help the centre develop their “detention activities” into credit courses associated with courses at our College and then provide completion experiences on Saturdays and at the end of children's sentences. There is hope.