2024 State Flood Plan: History in the Making by Texas Water Development Board

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Under the world of AI-generated feedback on writing: mirroring motivation, foreign language peace of mind, trait emotional intelligence, and writing development by Shireen Jamal Mohammed, Maryam Waleed Khalid

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Portfolio assessment in AI-enhanced learning environments: a pathway to emotion regulation, mindfulness, and language learning attitudes by Mohamad Ahmad Saleem Khasawneh, Alaa Aladini, Sabah Abdulkader Assi, Bemnet Ajanil

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Evaluating the fairness of a high-stakes college entrance exam in Kuwait by Fajer Shamsaldeen, Jue Wang, Soyeon Ahn

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Argument-based validation of Chulalongkorn University Language Institute (CULI) test: a Rasch-based evidence investigation by Apichat Khamboonruang

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Speaking exams with less anxiety in Intelligent Computer-Assisted Language Assessment (ICALA): mirroring EFL learners’ foreign language anxiety, shyness, autonomy, and enjoyment by Botir Elov, Irodakhon Abdullayeva, Laylo Raupova, Azam Kholikov, Marguba Mirkasimova

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Revisiting the effectiveness of a performance decision tree-style rubric compared to a grid-style rubric by Yuichiro Yokouchi

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The role of techno-competence in AI-based assessments: exploring its influence on students’ boredom, self-esteem, and writing development by Shoeb Saleh, Abdullah Ibrahim Alsubhi

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The role of IELTS teacher’s metapathy in IELTS candidates’ overall band score, language learning orientation, and active/passive motivation by Hamed Ghaemi, Robert Kirkpatrick

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Correction: Evaluating the fairness of a high-stakes college entrance exam in Kuwait by Fajer Shamsaldeen, Jue Wang, Soyeon Ahn

“…Language Testing in Asia…”
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A Bore-Integrated Patch Antenna Array for Whole-Body Excitation in Ultra-High-Field Magnetic Resonance Imaging by Svetlana S. Egorova, Nikolai A. Lisachenko, Egor I. Kretov, Yang Gao, Xiaotong Zhang, Stanislav B. Glybovski, Georgiy A. Solomakha

“…The human body&#x2019;s ultra-high field magnetic resonance imaging suffers from the inhomogeneity of the radio frequency magnetic field <inline-formula> <tex-math notation="LaTeX">$B_{1}^{+}$ </tex-math></inline-formula> and the high-peak levels of SAR created in body tissues during transmission. …”
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CFO-CR: Carrier Frequency Offset Methodology for High-Rate Common Randomness Generation by Prashanth Kumar Herooru Sheshagiri, Martin Reisslein, Juan A. Cabrera, Frank H. P. Fitzek

“…Our proposed CFO-CR methodology can generate 2048 bits of CR at a comparatively low reconciliation cost of 72 bytes while only making 256 channel observations and passing all common randomness tests. For generating 2048 bits of CR, other state-of-the-art approaches either require more channel observations (<inline-formula> <tex-math notation="LaTeX">$\ge 2048$ </tex-math></inline-formula>) or incur a higher reconciliation cost (<inline-formula> <tex-math notation="LaTeX">$\ge 450$ </tex-math></inline-formula> bytes).…”
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A Wearable System for Experimental Knee Pain During Real-World Locomotion: Habituation and Motor Adaptation by Jesse M. Charlton, Liam H. Foulger, Calvin Kuo, Jean-Sebastien Blouin

“…A linear model fit the data well for intensities &#x003E;1/10, though a piecewise linear (Adj R<inline-formula> <tex-math notation="LaTeX">$^{{2}} =0.874$ </tex-math></inline-formula>) or exponential model (Adj R<inline-formula> <tex-math notation="LaTeX">$^{{2}} =0.869$ </tex-math></inline-formula>) was required to fit the perception data across the stimulus intensity range (0-5/10). …”
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Fully CMOS Boost Converter Operating at 2.65 GHz for Photovoltaic Energy Harvesting by Pedro Mendonca Dos Santos, Ricardo Alexandre Marques Lameirinhas, Catarina P. Correia V. Bernardo, Joao Paulo Neto Torres, Antonio Serralheiro, Rafael Vieira, Nuno Lourenco

“…The system delivers 1.2 V for a 10 k<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> load, with an output power of the order of <inline-formula> <tex-math notation="LaTeX">$144~\mu $ </tex-math></inline-formula>W. …”
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Deep Joint Demosaicking and Super-Resolution for Spectral Filter Array Images by Abdelhamid N. Fsian, Jean-Baptiste Thomas, Jon Y. Hardeberg, Pierre Gouton

“…Moreover, for joint demosaicking and super resolution our model averages 35.26 (dB) and 26.29 (dB), respectively for <inline-formula> <tex-math notation="LaTeX">$\times 2$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\times 4$ </tex-math></inline-formula> upscale, outperforming state-of-the-art sequential approach.The codes and datasets are available at <uri>https://github.com/HamidFsian/DRDmSR</uri>.…”
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Study of Highly Stable Nitrogen-Doped a-InGaSnO Thin-Film Transistors by Wenyang Zhang, Li Lu, Chenfei Li, Weijie Jiang, Wenzhao Wang, Xingqiang Liu, Ablat Abliz, Da Wan

“…Compared with undoped a-IGTO TFTs, a-IGTO TFTs with 6 min N plasma treatment exhibit superior bias stress stability and a threshold voltages (<inline-formula> <tex-math notation="LaTeX">$V_{\mathrm {th}}$ </tex-math></inline-formula>) closer to 0 V with almost no decline in mobility. …”
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Adaptive Modification in Agonist Common Drive After Combined Blood Flow Restriction and Neuromuscular Electrical Stimulation by Yi-Ching Chen, Chia-Chan Wu, Yeng-Ting Lin, Yueh Chen, Ing-Shiou Hwang

“…The results showed a significant decrease in MVC after training (<inline-formula> <tex-math notation="LaTeX">$\text {p}\lt 0.001$ </tex-math></inline-formula>). …”
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Amplitude Modulation Depth Coding Method for SSVEP-Based Brain&#x2013;Computer Interfaces by Ruxue Li, Zhenyu Wang, Xi Zhao, Guiying Xu, Honglin Hu, Ting Zhou, Tianheng Xu

“…The results show that the proposed paradigm obtains an average classification accuracy of <inline-formula> <tex-math notation="LaTeX">$81.7~\pm ~12.6$ </tex-math></inline-formula>% with an average information transfer rate (ITR) of <inline-formula> <tex-math notation="LaTeX">$45.4~\pm ~11.5$ </tex-math></inline-formula> bits/min. …”
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An Ultrasound-Based Non-Invasive Blood Pressure Estimation Method Based on Optimal Vascular Wall Tracking Position by Liyuan Liu, Xingguang Geng, Fei Yao, Yitao Zhang, Haiying Zhang, Yunfeng Wang, Zhaoying Zheng

“…The overall mean deviation for systolic blood pressure was <inline-formula> <tex-math notation="LaTeX">$2.2~\pm ~2.1$ </tex-math></inline-formula> mmHg, and for diastolic blood pressure, it was <inline-formula> <tex-math notation="LaTeX">$2.1~\pm ~2.2$ </tex-math></inline-formula> mmHg. …”
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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

“…The experimental results reveal the effectiveness and performance of segmentation models by achieving <inline-formula> <tex-math notation="LaTeX">$IoU$ </tex-math></inline-formula> of 83&#x0025;, 84&#x0025;, and 86&#x0025; and <inline-formula> <tex-math notation="LaTeX">$mIoU$ </tex-math></inline-formula> of 80&#x0025; 82&#x0025; and 84&#x0025; for FCN, U-Net, and DeepLabv3 respectively. …”
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