Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis by Rohitkumar R. Upadhyay, Sahadeo Padhye

“…These variants, particularly (Ring) Learning with Errors-based schemes, NTRU-based schemes, and Approximate Greatest Common Divisor (AGCD)-based schemes, also known as FHE over the integers (FHE-OI), have garnered substantial interest and remain active areas of research. …”
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Effect of cooling temperature on machinability and hole quality in cryogenic drilling of CFRP/Ti stacks by Shunuan Liu, Zhijian Meng, Shiming Liang, Tao Wang, Hao Niu, Bin Luo, Kaifu Zhang

“…Compared to drilling at room temperature, the most significant improvement in hole quality is achieved at a cooling temperature of −25 °C, with a maximum reduction of 8.24 % in entrance delamination factor and 46.15 % in cylindricity error. …”
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Executive function and neural oscillations in adults with attention-deficit/hyperactivity disorder: a systematic review by Ziyao Su, Ziyao Su, Yingtan Wang, Yingtan Wang, Bin Wang, Bin Wang, Chuanliang Han, Haoran Zhang, Haoran Zhang, Yanyan Gu, Yanyan Gu, Yu Chen, Yu Chen, Xixi Zhao, Xixi Zhao, Yuwei Shi

“…These EEG changes may stem from impairments in error detection, cognitive control, and attention allocation, meaning that core EFs are affected in adults with ADHD. …”
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Prevalence and Clinical Correlates of Cerebrovascular Alterations in Fabry Disease: A Cross-Sectional Study by Daniele Di Natale, Salvatore Rossi, Gianmarco Dalla Zanna, Antonio Funcis, Tommaso Filippo Nicoletti, Ludovico Luca Sicignano, Elena Verrecchia, Angela Romano, Maria Gabriella Vita, Naike Caraglia, Francesca Graziani, Federica Re, Gisella Guerrera, Luca Battistini, Gabriella Silvestri

“…<b>Background/Objectives:</b> Fabry disease (FD) is an inborn error of the glycosphingolipid metabolism with variable kidney, heart, and central nervous system (CNS) involvement. …”
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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…A variable-rate spray control model and algorithm were then constructed to regulate spray flow according to the spatial distribution of leaf area density across the orchard.ResultsField experiments demonstrated that the system achieved a mean relative error of only 5.52% in spray flow rate regulation. …”
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Trends in the annual snow melt-out day over the French Alps and Pyrenees from 38 years of high-resolution satellite data (1986–2023) by Z. Barrou Dumont, Z. Barrou Dumont, S. Gascoin, J. Inglada, A. Dietz, J. Köhler, M. Lafaysse, D. Monteiro, C. Carmagnola, A. Bayle, J.-P. Dedieu, O. Hagolle, P. Choler

“…We found that the residuals are unbiased (median error of 1 <span class="inline-formula">d</span>) despite a dispersion (RMSE of 28 <span class="inline-formula">d</span>), which suggests that this dataset can be used to study SMOD trends after spatial aggregation. …”
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Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods by Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li

“…Using the SVM model, the prediction error values at delay time ε = 0.01–0.02 h are RMSE = 2.70 × 10⁻² Nm³/h, MAPE = 44.01 × 10⁻²%, MAE = 2.24 × 10⁻² Nm³/h, and R² = 99.74 × 10⁻², while at delay time ε = 0.03 h they become RMSE = 2.67 × 10⁻² Nm³/h, MAPE = 43.44 × 10⁻²%, MAE = 2.11 × 10⁻² Nm³/h, and R² = 99.75 × 10⁻². …”
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Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

“…The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. …”
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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Approaches utilizing the reconstruction error rely on straightforward, simple mappings, which introduce a substantial risk of overfitting in high-dimensional data, wherein the model acquires patterns that are exclusive to the training data and fails to generalize to new data. …”
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Projections of single-level indirect lumbar interbody fusion volume and associated costs for Medicare patients to 2050 by Kyle A. Mani, BS, Samuel N. Goldman, BS, Noel Akioyamen, MD, Emily Kleinbart, BS, Yaroslav Gelfand, MD, Saikiran Murthy, DO, Jonathan Krystal, MD, Ananth Eleswarapu, MD, Reza Yassari, MD, Mitchell S. Fourman, MD, MPhil

“…Predictive performance was evaluated by splitting the data into training (75%) and validation (25%) sets, and calculating normalized root mean square error (NRMSE). Sensitivity analyses were conducted by comparing Prophet's projections with those from Linear and Log-linear Ordinary Linear Squares, Poisson, Negative-Binomial, and ARIMA models. …”
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Pengaruh Pemberian Vitamin A terhadap Penurunan Parasitemia Mencit Strain Swiss yang diinfeksi Plasmodium berghei by Umi Isnaeni, Retno Sri Iswari, Nugrahaningsih WH, R. Susanti

“…Significant results then followed by a further test Post hoc at 1% error level. ANOVA test results for the treatment group B, C and D obtained value of p &lt;0.001 for each treatment group. …”
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Dexamethasone administration restored growth in dairy calves exposed to heat stress by Z. Yu, J.M. Cantet, M.R.R. Nair, A.G. Ríus

“…Statistical analyses included a mixed model, fixed effects of ENV, INT, consecutive measurements taken over time (days, hours, or both), replica, and random effects of calf and error (SAS version 9.4, SAS Institute Inc., Cary, NC). …”
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Long-term trajectory prediction method based on highway vehicle-following behavior patterns by Zhichao An, Yimin Wu, Fan Zhang, Dong Zhang, Bolin Gao, Suying Zhang, Guang Zhou, Aoning Jia

“…The results indicate that when there is one vehicle ahead, under aggressive following conditions, the ADV model outperforms the IDM model, reducing the root mean square errors in acceleration, speed, and position by 79.61%, 91.26%, and 87.82%, respectively. …”
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Real Time MEMS-Based Joint Friction Identification for Enhanced Dynamic Performance in Robotic Applications by Paolo Righettini, Giovanni Legnani, Filippo Cortinovis, Federico Tabaldi, Jasmine Santinelli

“…An experimental comparison with decentralized and non-adaptive regulators highlights severalfold reductions in tracking errors; the ability to track temperature-dependent friction variations is also shown. …”
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A Novel Adaptive Non-Singular Fast Terminal Sliding Mode Control for Direct Yaw Moment Control in 4WID Electric Vehicles by Jung Eun Lee, Byeong Woo Kim

“…Simulation results across various steering maneuvers, including step, sinusoidal, and fish-hook inputs, demonstrate that the proposed method significantly improves tracking accuracy and driving stability over traditional SMC and NFTSMC methods. Marked reductions in RMS and peak yaw rate errors, and effective chattering mitigation, highlight advancements in vehicle safety and stability.…”
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Research on the blasting effect prediction and blasting parameter optimization based on PCA-PSO-DBN by Weilong Ma, Biao Qiao, Tongkai Wen, Zhanping Song, Zhenzhong Ren

“…The results indicated that compared to traditional DBN and PCA-DBN models, the proposed model reduced maximum errors by 16.98, 7.68, and 11.37, 4.85%, respectively, demonstrating higher precision. …”
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Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties by Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere

“…The ANFIS model exhibited strong predictive performance, with a root mean square error (RMSE) of 1.5434, mean absolute percentage error (MAPE) of 2.89%, and R2 of 0.9795 for the modulus of elasticity. …”
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Benefits of Multi-Terminal HVdc Under Extreme Conditions via Production Cost Modeling Analyses by Quan Nguyen, Hongyan Li, Pavel Etingov, Marcelo Elizondo, Jinxiang Zhu, Xinda Ke

“…System operators rely on system flexibility to handle unexpected reliability and resilience events, ranging from excessive resource forecast errors to extreme events like heatwaves, earthquakes, and cyberattacks. …”
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Pharmacist support in the entry of blood drug concentration test order avoids vancomycin-induced kidney injury by Naoki Yoshikawa, Chiaki Miyata, Hidehiko Koreeda, Shuichi Nakahara, Yuki Matsusaki, Yusei Yamada, Takehiko Nagano, Hidenobu Ochiai, Ryuji Ikeda

“…In emergency and intensive care medicine, pharmacist interventions have shown potential to reduce medication errors and improve care quality. However, the precise benefits of pharmacist support in therapeutic drug monitoring (TDM) for emergency center inpatients require further verification. …”
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Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic by Elakkiya E, Antony Raj S, Arunkumar Balakrishnan, Bhavyasri Sanisetty, Revanth Balaji Bandaru

“…Furthermore, these techniques are prone to errors in the presence of noisy data and have scalability issues when used on big, high-dimensional datasets. …”
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