A narrative review of research advancements in pharmacogenetics of cardiovascular disease and impact on clinical implications by Ayat Shorbaji, Peter Natesan Pushparaj, Ayat B. Al-Ghafari, Loubna Siraj Mira, Mohammad Abdullah Basabrain, Muhammad Imran Naseer, Farid Ahmed, Muhammad Abu-Elmagd, Mahmood Rasool, Sherin Bakhashab

“…Despite this progress, further research is needed to optimise pharmacogenomic applications and advance personalised medicine to improve CVD treatment outcomes.…”
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Proposal of a New Isogeny-Based Cryptographic Protocol: Formal Analysis and Comparison by mohammed EL BARAKA, Siham Ezzouak

“…The proposed protocol‎, ‎Isogeny-Based Key Exchange with Error-Correcting Codes (IKEC)‎, ‎offers enhanced security‎, ‎computational efficiency‎, ‎and practical applicability‎, ‎making it a viable alternative to existing schemes like SIDH‎. ‎…”
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New Fractional Estimates of Simpson-Mercer Type for Twice Differentiable Mappings Pertaining to Mittag-Leffler Kernel by Saad Ihsan Butt, Saima Rashid, Iram Javed, Khuram Ali Khan, Rostin Matendo Mabela

“…Thus, by employing Mercer’s convexity on twice differentiable mappings along with Hölder’s and power-mean inequalities, one can develop a variety of new Simpson’s error estimates. Lastly, some applications to q-digamma function and modified Bessel functions are presented. …”
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Highly sensitive split ring resonator-based sensor for quality monitoring of edible oils by Muhammad Amir Khalil, Wong Hin Yong, Tehseen Batool, Ahasanul Hoque, Lo Yew Chiong, Hui Hwang Goh, Tonni Agustiono Kurniawan, Mohamed S. Soliman, Mohammad Tariqul Islam

“…Additionally, the design has a high Q-factor of 149, indicating its efficiency in determining adulteration in edible oils. Additionally, the error rate in detecting adulteration is minimal at 3.1%, a significant improvement over prior sensors, which have error rates as high as 8%. …”
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Monitoring method for water level in subsidence water bodies in mining areas using multi-source satellite observations by Yufan XU, Shaogang LEI, Yongqiao SUN, Xingchen YANG, Cangjiao WANG

“…The average error, average absolute error, and root mean square error of water level measurement were 0.10, 0.17, 0.26 m, respectively. …”
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A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm by Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin

“…Experimental results indicate that the MTGNN outperforms comparative algorithms, such as CrossGNN and FourierGNN, in prediction accuracy, with the mean absolute error (MAE) being as low as 0.00237 and the root mean square error (RMSE) maintained below 0.0203 across different sensor locations (T0, T1, T2). …”
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Numerical Methods of Solving Cauchy Problems with Contrast Structures by A. A. Belov, N. N. Kalitkin

“…The applicability limitations of numerical methods are investigated. …”
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Continuous Gait Phase Estimation for Multi-Locomotion Tasks Using Ground Reaction Force Data by Ji Su Park, Choong Hyun Kim

“…An average gait estimation accuracy exceeding 90% is observed with a small error (root mean square error = 0.794, R² score = 0.906) across various WCs. …”
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Fast-Switching SVR Weight Coefficient Design for the MPTC of Double Three-Phase PMSM by Huanzhen Zhang, Shaosheng Fan, Gongping Wu

“…In addition, in the DT-PMSM conventional MPTC strategy, the cost function consists of the electromagnetic torque error and the stator flux error. Due to the lack of an explicit theory to guide the design of the weight coefficients, the weight coefficients can only be set through a large number of simulations and experiments in applications, and the tuning process is very cumbersome. …”
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Design of Adaptive PID Controller for Lower Limb Rehabilitation Robot Based on Particle Swarm Optimization Algorithm. by Noor Sabah, Ekhlas Hameed, Muayed S AL-Huseiny

“…However, in most of the real applications, the controlled system has parameters that slowly vary or are uncertain. …”
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Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling by Pedro C. S. Costa, Philipp Schleich, Mauro E. S. Morales, Dominic W. Berry

“…Abstract The solution of large systems of nonlinear differential equations is essential for many applications in science and engineering. We present three improvements to existing quantum algorithms based on the Carleman linearisation technique. …”
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A hybrid convolutional neural network model for dental age estimation using buccal alveolar bone level for Saudi children by Seyed Matin Mazloom Nezhad, Erma Rahayu Mohd Faizal Abdullah, Norliza Ibrahim, Heba H. Bakhsh, Uzair Ishtiaq, Rabiah Al Adawiyah Rahmat, Sarah AlMugairin, Sara M. ElKhateeb

“…Trial registration Not applicable.…”
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Meta Ag: An automatic agricultural contextual metadata collection app by Md. Samiul Basir, Yaguang Zhang, Dennis Buckmaster, Ankita Raturi, James V. Krogmeier

“…These results highlight its effectiveness as a deployable, efficient solution for agricultural metadata collection. By reducing human error and supporting standardized, high-integrity recordkeeping, the Meta Ag framework enables the production of AI-ready metadata critical for digital agriculture applications.…”
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Physical and AI-Based Algorithms for Retrieving Cloud Liquid Water and Total Precipitable Water from Microwave Observation by Wenxiang Chen, Yang Han, Fuzhong Weng, Hao Hu, Jun Yang

“…Collocated with ERA5 reanalysis data, the MLP model predicts SST well, with a correlation coefficient of 0.98, the root mean squared error (RMSE) of 1.10, and mean absolute error (MAE) of 0.70 K. …”
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A Short-Term Prediction Method for Tropospheric Delay Products in PPP-RTK Based on Multi-Scale Sliding Window LSTM by Linyu He, Xingyu Zhou, Hua Chen, Jie He, Runhua Chen, Jie Ding

“…Tropospheric delay products play a critical role in achieving high-precision positioning in Precise Point Positioning Real-Time Kinematic (PPP-RTK) applications. The short-term prediction of these products remains a significant challenge that warrants further exploration. …”
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SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting by Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

“…Additionally, our method demonstrates competitive performance compared to few-shot methods, advancing the capabilities of visual object counting in various industrial applications such as tree counting, wildlife animal counting, and medical applications like blood cell counting.…”
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A New Fractional Approach for the Higher-Order q-Taylor Method by Nadia Allouch, Iqbal M. Batiha, Iqbal H. Jebril, Samira Hamani, Areen Al-Khateeb, Shaher Momani

“…As a consequence, we calculate the FHOqTM’s local truncation error. Finally, we present numerical applications to validate our results by comparing the exact solution and the approximate solution obtained by (FHOqTM). …”
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Daubechies Wavelet Scaling Function Approach to Solve Volterra’s Population Model by Amjad Alipanah, Korosh Arzideh, Medina Firouzi, A. Kasnazani

“…Utilizing this collocation technique, Volterra’s population model reduces into a system of nonlinear algebraic equations. In addition, an error bound for our method will be explored. The numerical results demonstrate the applicability and accuracy of our method.…”
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The Potential of Machine Learning Methods for Separated Turbulent Flow Simulations: Classical Versus Dynamic Methods by Stefan Heinz

“…The conclusion is that minimal error CES methods perform clearly better than ML-RANS methods. …”
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Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach by Ming Zhang, Kai Wang, Yan-ting Zhou

“…Test results show that the error on the state estimate is less than 0.8% despite additive current measurement noise with 0.05 A deviation.…”
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