Notch1 blockade by a novel, selective anti-Notch1 neutralizing antibody improves immunotherapy efficacy in melanoma by promoting an inflamed TME by Juliano Tiburcio de Freitas, Varsha Thakur, Kathryn M. LaPorte, Vijay S. Thakur, Brian Flores, Valentina Caicedo, Chioma G. E. Ajaegbu, Giuseppe Ingrasci, Zoe M. Lipman, Keman Zhang, Hong Qiu, Thomas R. Malek, Barbara Bedogni

“…Thus, anti-Notch1 could represent a novel addition to the immunotherapy repertoire for melanoma.…”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…The results show that our feature selection and data balancing scheme greatly improves the detection accuracy. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…It is shown that robust cross-validation algorithms lead to more stable estimates, as expected due to the more homogeneous partitions, which have a positive impact on the selection of credit default models. In addition, the enhancements proposed to existing robust techniques lead to improved results when there are data restrictions.…”
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On Almost GO-Menger Space by Susmita Sarkar, Prasenjit Prasenjit Bal

“…After that, the nature of almost GO-Menger space is compared to GO-Menger space, and some fundamental topological aspects of such spaces are examined. Additionally, a study of this space's quasi-irresolute image and an investigation into possible connections with some selection principles are conducted.…”
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Distribution pattern and niche overlap of sympatric breeding birds along human-modified habitat gradients in Inner Mongolia, China by Xi Yang, Lishi Zhang, Piotr Tryjanowski, Frédéric Jiguet, Zheng Han, Haitao Wang

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Distributions of non‐native and native plants are not determined by the same environmental factors by Bart Steen, Antoine Adde, Martin A. Schlaepfer, Antoine Guisan, Luigi Maiorano

“…This will have consequences for biodiversity and ecosystem services, in addition to the ecological and economic damage caused by those non‐native species that are invasive. …”
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Comprehensive genomic analysis of genetic diversity, body size, and origins of the Hetian Gray donkey by Yuan-Yuan Li, Yu Liu, Shu-Qin Liu, Yu-Gang He, Xiao-Ran Lin, Ying Li, Tao Yang, Mo Feng, He-Tong Zhang, Xin-Yu Wang, Ru-Yu Yao, Meng-Han Zhou, Chun-Jiang Zhao

“…Among the breeds studied, the Xinjiang donkey and the Guanzhong donkey exhibit the closest genetic affinity with the Hetian Gray donkeys. Additionally, genome-wide selection signature analysis between the Hetian Gray donkey and the Xinjiang donkey identified positive selection for genes associated with body size traits. …”
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Comparative analysis of stability models for identifying rice inter-subspecific breeding lines adapted to different temperature regimes for exploitation in hybrid breeding by Bonipas Antony John, Saraswathi Ramaswamy, Manonmani Swaminathan, Kumaresan Dharmalingam, Gunasekaran Mahalingam, Pushpa Raman, Ramalingam Jegadeesan

“…., the Uni-trait Stability Selection Model (Model – 1), the Uni-trait Mean Performance Stability Selection Model (Model – 2), and the Multi-trait Mean Performance Stability Selection Model (Model – 3). …”
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Study on the Anticorrosive Methods for Reinforced Concrete Structure Chimney of Power Plant Caused by Wet Desulfurization by Zhongwei WANG, Junjian SUN, Lichun ZHAO, Dawei ZHENG, Xiang LI, Wanjun QIAO, Hongbo MIAO, Zhenghua WU

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An empirical investigation on factors influencing choice of foreign market by media firms by Ali Akbar Farhangi, Tahmoures Hassangholipour, Ehtesham Rashidi

“…The results also indicate that the adaptation of content was the most effective in choosing a foreign market. In addition, cross-cultural adaptation is an important component in selection of foreign markets. …”
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Preventing flow table overflow against denial of service attack in software defined network by Dongbin WANG, Dongzhe WU, Hui ZHI, Kun GUO, Xu ZHANG, Jinqiao SHI, Yu ZHANG, Yueming LU

“…Aiming at denial of service attacks would cause overflow of the limited flow table space of the switch in software defined network, failure to install flow table rules for normal network packets, packet forwarding delay, and packet loss, FloodMitigation was proposed to prevent flow table overflow against denial of service attacks in software defined network.The management of the rate-limit flow rule installation based on available flow table space was adopted to limit the maximum installation speed of flow rules and the number of flow table space occupied by switch ports with denial-of-service attacks, and avoid flow table overflow.In addition, path selection based on available flow table space was adopted to balance flow table utilization of switches among multiple forwarding paths to avoid denial of service attacks on switches with less available flow table in the path.The experimental results demonstrate that FloodMitigation can effectively alleviate the harm of denial of service attacks in terms of preventing switch flow table overflow and packet loss, reducing resource consumption of controllers, and ensuring packet forwarding delay.…”
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Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving by Angie Nataly Melo Castillo, Carlota Salinas Maldonado, Miguel Ángel Sotelo

“…The results provide experimental insights into achieving greater explainability in pedestrian behavior prediction. Additionally, the proposed method was applied to assess the data selection process through a series of experiments, leading to a set of guidelines and recommendations for data selection, feature engineering, and explainability.…”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

“…Any data imbalance was addressed by employing cross-validation along with the Synthetic Minority Oversampling Technique (SMOTE), the feature selection was refined using backward elimination, and the model interpretability was improved using Shapley Additive Explanations (SHAP). …”
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Colony size as the main driver of the evolution of song diversity and composition in weaverbirds by Harscouet-Commecy, Erwan, Adenot, Tohi, Thetiot, Alexandre, Bresciani, Nel, Oschadleus, Hans-Dieter, Covas, Rita, Rybak, Fanny, Doutrelant, Claire

“…We assessed the potential role of mating system as a proxy for sexual selection, but in addition, investigated whether colony size, a proxy for sociality, and phylogenetic history influence the evolution of these parameters in weaverbirds family (Aves: Ploceidae). …”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Additionally, a weighted voting mechanism is employed to aggregate predictions in the ensemble model. …”
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Impact of farmer training on potato yield: a case of smallholder potato farmers in Malawi by Ednah Kangogo, David Jakinda Otieno, Julius Okello, Obed Mwenye, Eliya Kapalasa

“…Results also showed that potato farmers who participated in positive selection training reported an increase in yield by 14%. …”
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Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

“…Three interpretability techniques—permutation feature importance, Partial Dependence Plots (PDP), and Shapley Additive Explanations (SHAP)—were integrated into the pipeline to enhance model transparency. …”
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Identifying Significant SNPs of the Total Number of Piglets Born and Their Relationship with Leg Bumps in Pigs by Siroj Bakoev, Lyubov Getmantseva, Maria Kolosova, Faridun Bakoev, Anatoly Kolosov, Elena Romanets, Varvara Shevtsova, Timofey Romanets, Yury Kolosov, Alexander Usatov

“…We used genome-wide association analysis and methods for identifying selection signatures. As a result, 47 SNPs were identified, localized in genes that play a significant role during sow pregnancy. …”
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Cluster Embedding Joint-Probability-Discrepancy Transfer for Cross-Subject Seizure Detection by Xiaonan Cui, Jiuwen Cao, Xiaoping Lai, Tiejia Jiang, Feng Gao

“…It is worth noting that the manifold regularization is used to improve the quality of clustering prototypes. In addition, a correlation-alignment-based source selection metric (SSC) is designed for most favorable subject selection, reducing the computational cost as well as avoiding some negative transfer. …”
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Leveraging ML for profiling lipidomic alterations in breast cancer tissues: a methodological perspective by Parisa Shahnazari, Kaveh Kavousi, Zarrin Minuchehr, Bahram Goliaei, Reza M Salek

“…By integrating biological and machine learning feature selection techniques, along with univariate and multivariate analyses, a notable lipid signature was identified in breast cancer tissues. …”
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