Genetic improvement of cooking time in common bean: the role of dominance by Rita Carolina de Melo, Jefferson Luís Meirelles Coimbra, Luan Tiago dos Santos Carbonari, Paulo Henrique Cerutti, Altamir Frederico Guidolin

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Time-dependent model for in-situ concrete carbonation depth under combined effects of temperature and relative humidity by Ting Du, Yongjia Cai, Yipu Guo, Jinghao Chen, Sen Chen, Mofang Yuan, Fulin Qu

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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…Unlike traditional ANFIS models, which are primarily designed for static problems, this enhanced version incorporates self-feedback relationships from previous outputs to capture the time dependencies inherent in dynamic systems. Additionally, a hybrid approach combining the Imperialist Competitive Optimization Algorithm (ICA) and Least Squares Estimation (LSE) is employed to train the neural-fuzzy system and update its parameters. …”
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End User Computing Satisfaction : Model Analisis Kepuasan Pengguna Aplikasi Menggunakan Partial Least Square Structural Equation Modeling (Studi Kasus) by Aditia Angga Perdana, Meinarini Catur Utami, Qurrotul Aini

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On (dis)agreement between different methods of calculation of the imaginary part of the effective action in expanding space-times by E.T. Akhmedov, I.A. Belkovich, D.V. Diakonov, K.A. Kazarnovskii

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‘Shift’ Adaptation and a New Croatian Standard for Haavikko Developmental Stages’ Timing by Ivan Bedek, Jelena Dumančić, Tomislav Lauc, Miljenko Marušić, Ivana Čuković-Bagić

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Age-related changes in brain signal variability in autism spectrum disorder by Priyanka Sigar, Nicholas Kathrein, Elijah Gragas, Lauren Kupis, Lucina Q. Uddin, Jason S. Nomi

“…BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. …”
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Integrated Gaussian Processes for Tracking by Fred Lydeard, Bashar I. Ahmad, Simon Godsill

“…We prove here that the introduced iGP model is, itself, a GP with a non-stationary kernel, which we derive fully in the case of the squared exponential GP kernel. Thus, the iGP is straightforward to implement, with the usual growth over time of the computational burden. …”
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Tracing the change of the volatile compounds of soy sauce at different fermentation times by PTR-TOF-MS, E-nose and GC–MS by Qixin Kan, Longbipei Cao, Liping He, Peipei Wang, Guangdie Deng, Jun Li, Jiangyan Fu, Qingrong Huang, Chi-Tang Ho, Yunqi Li, Chunhui Xie, Yong Cao, Linfeng Wen

“…It was clear that the key feature differential component was nonanal and phenethyl acetate by partial least squares discriminant analysis model, which showed significant correlation with the fermentation time. …”
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Digital mapping of soil organic carbon in a plain area based on time-series features by Kun Yan, Decai Wang, Yongkang Feng, Siyu Hou, Yamei Zhang, Huimin Yang

“…Introducing the time-series features of ecological factors resulted in a decrease in the mean error (ME) and root mean square error (RMSE), whereas the coefficient of determination (R2) and concordance correlation coefficient (CCC) showed increasing trends across the different models. …”
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Implementasi High Order Intuitionistic Fuzzy Time Series Pada Peramalan Indeks Harga Saham Gabungan by Titis Jati Nugraha, Winita Sulandari, Isnandar Slamet, Sri Subanti, Etik Zukhronah, Sugianto Sugianto, Irwan Susanto

“…Penelitian ini membahas penerapan metode High Order Intuitionistic Fuzzy Time Series (HOIFTS) dalam peramalan IHSG di BEI. …”
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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

“…Forecasting accuracy results for SO₂ and CO in Jakarta, based on Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), showed excellent performance, underscoring the efficacy of the CLARA-FTSMC hybrid approach in predicting air pollution levels. • The CLARA-FTSMC hybrid method demonstrates high effectiveness in analyzing large datasets, addressing the limitations of previous hybrid clustering fuzzy time series methods. • The number of fuzzy time series partitions is optimally determined based on clustering results obtained through the gap statistic approach, ensuring robust partitioning. • The forecasting accuracy of the CLARA-FTSMC hybrid method, evaluated using MAE and RMSE, showed excellent performance in predicting daily air pollution levels of SO₂ and CO in Jakarta.…”
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Finite-Time Output Robust Control for Restricted Joint Flight Emulator Robotic Arm With Adaptive Tangent Barrier Gains by Isaac Chairez, Alejandra Hernandez-Sanchez, Caridad Mireles, Arthur Mukhamedov, Grigory Bugriy, Stepan Lemak, Viktor Chertopolokhov

“…The origin is shown to be a fixed-time stable equilibrium point for the tracking error space, provided state space constraints are met, as evidenced by the faster convergence of the mean square estimation of the tracking error. …”
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Hubungan Night Time Eating dan Asupan Lemak Dengan Kejadian Gizi Lebih Pada Mahasiswa di Kota Medan by Yatty Sandy, Erni Rukmana, Kanaya Yori Damanik, Caca Pratiwi

“…Tujuan: Untuk mengetahui hubungan Night Time Eating (NTE) dan asupan lemak dengan kejadian gizi lebih pada mahasiswa. …”
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Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

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EFFECT OF CLIMATE CHANGE ON AGRICULTURAL SECTOR: EVIDENCE FROM NIGERIA by IME OKON UTUK, ANIEFIOK BENEDICT UDO, BONIFACE LINUS AKPAN, EDEDET BASSEY EDUNO, INIGBEHE MICHAEL OKON

“…The fully modified ordinary least squares (FMOLS) estimator was employed for estimation of the specified model. …”
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A deep-learning approach to parameter fitting for a lithium metal battery cycling model, validated with experimental cell cycling time series by Maria Grazia Quarta, Ivonne Sgura, Elisa Emanuele, Jacopo Strada, Raquel Barreira, Benedetto Bozzini

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Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis by Ryusei Nishi, Kenichiro Sagiyama, Hajime Suzuki, Marie Amitani, Haruka Amitani, Akihiro Asakawa

“…Methods: We conducted psychological tests, obtained participants’ weekly screen times, and performed ordinary least squares (OLS) regression and k-means clustering. …”
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Predictors of survival rates among breast cancer patients in Ethiopia: a systematic review and meta-analysis 2024 by Chalie Mulugeta, Tadele Emagneneh, Getinet Kumie, Assefa Sisay, Nigusie Abebaw, Mulat Ayele, Abebaw Alamrew

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Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

“…The comparative analysis demonstrates the RRNN’s superior performance with respect to computational accuracy and training time. Furthermore, it is contrasted with to local extreme learning machine method, which also utilizes domain decomposition and the least squares method. …”
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