Results 231 to 240 of about 18,911 (296)

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study. [PDF]

BMC Infect Dis
Zhong X, Liu K, Zhang J, Tang X, Lu T, Chen Q, Pang J, Chen R, Li B, Ding S, Ma L.   +10 more
europepmc   +1 more source

Becoming Dostoevsky (how Rowan Williams opens up Bakhtin)

Modern Theology, EarlyView.
Abstract With the end of Communism in Russia, non‐materialist contexts were enthusiastically restored to Mikhail Bakhtin's globally famous ideas of carnival, dialogism, and polyphony. This essay surveys Rowan Williams's 2008 study Dostoevsky: Language, Faith + Fiction as a major contribution to this effort, concentrating on those general philosophical ...
Caryl Emerson
wiley   +1 more source

Cervical cancer perceived behavioral risk factors using logistic regression technique. [PDF]

J Biomed Res
Elzein IM, Chamseddine A, Eltanboly A, Elzein A.   +3 more
europepmc   +1 more source

RE-SMOTE: An Improved SMOTE Algorithm Based on Majority Class Redundancy Elimination

Class imbalance is a pervasive and challenging issue in machine learning and data mining. The traditional Synthetic Minority Over-sampling Technique (SMOTE) alleviates this problem by interpolating between minority class samples, but it often ignores the internal distribution and redundancy of the majority class, leading to severe class overlapping and
openaire   +1 more source

Constructing Eco‐Responsible National Identities Through Collective Memory: Settler and Māori Histories of Environmental Change in Aotearoa New Zealand

Nations and Nationalism, EarlyView.
ABSTRACT A growing body of scholarship argues that collective memories of historical environmental change—formed and transmitted through museums, movies, novels, activist performances and other cultural texts and practices—can help nurture proenvironmentalism.
Olli Hellmann
wiley   +1 more source

GBC-AST: a cluster-based oversampling method for heart failure prediction in imbalanced medical data sets. [PDF]

BMC Med Inform Decis Mak
Shahee SA.
europepmc   +1 more source

SC-SMOTE: Stability-constrained SMOTE Based on Multi-model Consistency Constraints

Class imbalance is a prevalent and challenging issue in machine learning that severely degrades the performance of standard classifiers. Although the Synthetic Minority Over-sampling Technique (SMOTE) is widely used to address this problem by interpolating new data points, its standard formulation tends to blindly generate synthetic samples based ...
openaire   +1 more source

The 3D genome of Gigaspora margarita unveils stable chromatin and nucleolar organization and symbiont‐dependent genome dynamics

New Phytologist, EarlyView.
Summary Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition and influence ecosystem productivity. Previous chromosome‐level assemblies of the model species Rhizophagus irregularis revealed a two‐compartment genome architecture (active A and repressed B chromatin compartments), yet its conservation across ...
Ken Mugambi, Jordana Oliveira, Franco Magurno, Alessandra Salvioli di Fossalunga, Mara Novero, Luisa Lanfranco, Stefano Ghignone, Gökalp Yildirir, Yan Wang, Paola Bonfante, Nicolas Corradi   +10 more
wiley   +1 more source

Prediction of ALK, EGFR and KRAS mutations in lung adenocarcinoma based on PET/CT radiomics by cluster and synthetic minority over-sampling technique. [PDF]

Medicine (Baltimore)
Tang C, Wang T, Liu Y, Chang P, Li Y, Xiong Y, Chen R, Chen Y, Wang R.   +8 more
europepmc   +1 more source

Nonnodulating Fagales retain the functional NODULE INCEPTION gene

New Phytologist, EarlyView.
NODULE INCEPTION orthologs are present in nonnodulating species in Fagales.
Momona Noda, Momoyo Ito, Kana Miyata, Takuya Suzaki   +3 more
wiley   +1 more source