Neuroanatomy, episodic memory and inhibitory control of Persian-Kurdish simultaneous bilinguals by Samira Golshani, Olga Kepinska, Hamid Gholami, Narly Golestani

“…Abstract We assessed simultaneous bilinguals and monolinguals on inhibitory control and episodic memory, and assessed their grey matter volumes in brain regions known to be involved in language processing, executive control and memory. Bilinguals outperformed monolinguals on episodic memory, and performance on the memory and inhibition tasks were correlated, only in the bilingual group. …”
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Do Land Development Rights Increase Agricultural Land Prices? Empirical Evidence from China’s Land Market by Jiaxin Shi, Wei Dou

“…The key findings include the following: (1) Land development rights positively influence the increase in agricultural land prices. (2) Land development rights significantly narrow the urban–rural income disparity at municipal and county levels, which in turn impacts agricultural land prices. (3) The effect of land development rights on agricultural land prices is negatively moderated by regional economic growth. (4) While land development rights significantly enhance the prices of arable land, their impact on sectors such as agriculture, forestry, animal husbandry, fishing, and food processing remains minimal. (5) In northern regions and economically underdeveloped areas, land development rights substantially boost agricultural land prices, underscoring their role in fostering local economic development and enhancing land use efficiency.…”
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Surface charge modulation in metal-crosslinked sodium alginate-chitosan composite adsorbent: Optimized anionic-to-cationic polysaccharide component ratio for Cd and Cr removal from... by Aminat Mohammed Ahmed, Mhamed Berrada, Menbere Leul Mekonnen, Ayalew H. Assen, Ephriem Tadesse Mengesha, Redouane Beniazza, Kebede Nigussie Mekonnen, Youssef Belmabkhout

“…Moreover, optimizing the cationic-to-anionic polysaccharide ratio is critical for enhancing the surface negative charge and boosting metal ion affinity. In this study, we prepared a robust Zr/Fe-crosslinked SA-CS composite by carefully tuning the SA-to-CS ratio to 2:1, which exhibits an anionic surface charge (pHZPC = 4.3 vs 6.7 for a 1:1 ratio), making it effective for cation adsorption. …”
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Gadoxetic acid-enhanced MRI for identifying cholangiocyte phenotype hepatocellular carcinoma by interpretable machine learning: individual application of SHAP by Wei Liu, Zhiping Cai, Yifan Chen, Xingqun Guan, Jieying Feng, Haixiong Chen, Baoliang Guo, Fusheng OuYang, Chun Luo, Rong Zhang, Xinjie Chen, Xiaohong Li, Cuiru Zhou, Shaomin Yang, Ziwei Liu, Qiugen Hu

“…Furthermore, personalized prediction is enhanced through the application of SHAP, providing valuable insights to support clinical decision-making processes.…”
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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…Abstract A growing number of humans have suffered severe chronic illnesses, which has caused a boost in the requirement for diagnostic and medical treatment procedures that are both accurate and fast. …”
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Physiological Signals as Predictors of Mental Workload: Evaluating Single Classifier and Ensemble Learning Models by Nailul Izzah, Auditya Purwandini Sutarto, Ade Hendi, Maslakhatul Ainiyah, Muhammad Nubli bin Abdul Wahab

“…A comprehensive evaluation was conducted on several ML algorithms, including both single (Support Vector Machine/SVM and Naïve Bayes) and ensemble learning (Gradient Boost and AdaBoost) classifiers and incorporating selected features and validation approaches. …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

“…Eight risk features were selected through the RFE process. Gradient boosting machine implemented by decision tree models achieved the best performance, yielding areas under the curve for 1-h and 2-h models of 0.808 (95% confidence interval [CI] 0.797–0.819) and 0.824 (95% CI 0.804–0.843) in the testing set, and 0.862 (95% CI 0.854–0.870) and 0.859 (95% CI 0.843–0.875) in the external validation set, respectively. …”
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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…The grassland classification process involved three stages: (1) to distinguish between vegetation and non-vegetation covers, (2) to differentiate grassland from non-grassland landscapes, and (3) to identify three specific grassland classes (tame, native, and mixed grasses). …”
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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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Photodetection Enhancement via Dipole–Dipole Coupling in BA₂MAPb₂I₇/PEA₂MA₂Pb₃I₁₀ Perovskite Heterostru... by Bin Han, Bingtao Lian, Qi Qiu, Xingyu Liu, Yanren Tang, Mengke Lin, Shukai Ding, Bingshe Xu

“…Our findings reveal that under 532 nm light illumination, the BA₂MAPb₂I₇/PEA₂MA₂Pb₃I₁₀ heterostructure photodetector exhibits a significant photocurrent enhancement compared with that of the pure PEA₂MA₂Pb₃I₁₀ device, mainly due to the contribution of the ET process. In contrast, under 600 nm light illumination, where ET is absent, the enhancement is rather limited, emphasizing the critical role of ET in boosting device performance. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…We compared 10 ML models based on radiomics features: support vector machine (SVM), logistic regression (LR), random forest, extra trees (ET), naïve Bayes (NB), k-nearest neighbor (KNN), multilayer perceptron (MLP), gradient boosting ML (GBM), light GBM (LGBM), and adaptive boost (AB). …”
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Integrative physiological and transcriptomic analysis provides insights on the molecular basis of ABA-enhanced drought tolerance in pear (Pyrus betulaefolia) by Guo-Ling Guo, An-Ran Luo, Yun-Hui Tan, Rui-Kang Yuan, Ting-Yue Luo, Pan-Pan Ma, Jun-Yu Zhan, Piao Han, Li Liu, Wei Heng, Zhenfeng Ye, Sheng Yang, Bing Jia

“…However, ABA applications significantly elevated the expressions of genes in chlorophyll synthesis and photosynthesis, partially boosting the SPAD and Fv/Fm values. In addition, ABA treatments further prominently accelerate the synthesis processes of ABA, flavonoids, and antioxidant enzymes by up-regulating the corresponding genes, resulting in endogenous ABA accumulation and enzymatic activity improvement, thereby expediting the ROS scavenging. …”
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Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the Car... by Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

“…The AI-based decision support tool was developed using referral information from over 37,000 patients and uses a light gradient boosting machine model to predict the probability of obstructive CAD based on 42 clinically relevant predictors, including patient referral information, demographic characteristics, risk factors, and medical history. …”
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Machine learning models coupled with ionic fragment σ-profiles to predict ammonia solubility in ionic liquids by Kaikai Li, Yuesong Zhu, Sensen Shi, Yongzheng Song, Haiyan Jiang, Xiaochun Zhang, Shaojuan Zeng, Xiangping Zhang

“…These results highlighted the developed IFC-GBR model offered valuable insights for helping guide the process design of absorbing NH3 through IL-based technology.…”
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The Analysis of Customers’ Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future by Marina Kholod, Alberto Celani, Gianandrea Ciaramella

“…By leveraging these technologies, businesses can extract valuable insights to improve processes, optimize inventory, and boost customer satisfaction. …”
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Utilizing machine and deep learning algorithms to identify learning-related features in electroencephalography data during second language acquisition by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Mohammed Tawfik

“…Neurolinguistics explores how the brain processes and acquires language, particularly the neural mechanisms involved in second language acquisition (SLA). …”
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Anchote (Coccinia abyssinica): a tuber crop with enhanced potential for innovative food products and sustainable packaging by Eshetie Gelagay Erku, Messenbet Geremew Kassa, Mikru Tesfa Belachew, Desye Alemu Teferi, Korsa Mesfin Gelan

“…However, it contains anti-nutrients like phytate, tannin, oxalic acid, and cyanide, which require proper processing to improve nutritional benefits. Anchote flour has been used to boost the nutritional value of bread, biscuits, and cookies, and its high starch content is utilized in edible films and as a stabilizer in juices. …”
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Carotenoid comparison among broccoli leaves, stems, and flowers dried with drying cabinet by Devi Mazarina, Soekopitojo Soenar, Wibawa Aji Prasetya, Nusa Cassandra Permata, Pratiwi Zahra Anggita

“…It can be concluded that the broccoli leaves, which are usually discarded, are an excellent source of nutrients and therefore can be incorporated into food formulations, especially in the formulations meant to boost antioxidant and provitamin A levels. This study lays down the foundation for improving food processing methods for the better nutritional quality of dry vegetables and sheds light on using Broccoli leaves to achieve sustainable food production by reducing food waste.…”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

“…Abstract Accelerating the discovery of novel crystal materials by machine learning is crucial for advancing various technologies from clean energy to information processing. The machine-learning models for prediction of materials properties require embedding atomic information, while traditional methods have limited effectiveness in enhancing prediction accuracy. …”
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