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    DIDATTICA DEL LESSICO: UN PERCORSO BIBLIOGRAFICO by Viviana de Leo

    Published 2025-01-01
    “… Nel presente contributo si propone un possibile percorso di studi sulla didattica del lessico: negli ultimi decenni, infatti, numerose sono state le pubblicazioni sull’argomento, rendendo necessario porre ordine nella materia, in maniera tale da rendere più agevole l’orientamento ai fruitori ideali (il docente e lo studioso). Si è scelto di suddividere i contributi in tre classi (ispirandosi alla segmentazione proposta da Barni, Troncarelli e Bagna, 2008): la prima comprende i contributi che affrontano le questioni generali e i vari modelli per l’analisi del lessico, con un occhio di riguardo alla loro possibile applicazione nell’ambito dell’insegnamento/apprendimento della L1 o L2; la seconda classe comprende le pubblicazioni che fanno capo alla linguistica dei corpora o presentano strumenti – come il dizionario – per descrivere il sistema lessicale; la terza classe, infine, raccoglie gli articoli che hanno per oggetto tecniche, proposte didattiche da sperimentare e resoconti di esperienze sperimentate nell’aula di scuola. …”
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    Photoreceptor metabolic window unveils eye–body interactions by Shaopeng Yang, Zhuoyao Xin, Weijing Cheng, Pingting Zhong, Riqian Liu, Ziyu Zhu, Lisa Zhuoting Zhu, Xianwen Shang, Shida Chen, Wenyong Huang, Lei Zhang, Wei Wang

    Published 2025-01-01
    “…To translate these insights into a practical tool, we developed an artificial intelligence (AI)-driven photoreceptor metabolic window framework and an accompanying interpreter that comprehensively captures the metabolic landscape of photoreceptor–systemic health linkages and simultaneously predicts 16 multisystem health outcomes beyond established approaches while retaining interpretability. …”
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    Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

    Published 2025-01-01
    “…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). This study achieved over 90% overall accuracy and a kappa value of 0.9 for the classified LULC maps. …”
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  11. 4851

    Decolonization Projects by Cornelius Ewuoso

    Published 2023-09-01
    “…Decolonization may target actions, places, or systems like health care or AI to overcome the ills of colonialism and neocolonialism. …”
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    Unity in diversity: navigating global connections through cultural exchange by Dwi Mariyono, Annis Nur Alifatul Kamila, Akmal Nur Alif Hidayatullah

    Published 2025-01-01
    “…The research identifies strategies for balancing global unity and cultural diversity, such as hybrid approaches to environmental sustainability, integrating cultural insights into global health and inclusive technological innovations like AI and virtual reality. It also highlights the role of institutions like UNESCO in promoting cultural diplomacy and the challenges in balancing global governance with cultural diversity. …”
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    LE COLLOCAZIONI N-ADJ DELL’ITALIANO ACCADEMICO PARLATO. UN’INDAGINE CORPUS-BASED by Diana Peppoloni

    Published 2025-01-01
    “…Questo descrive i parametri costitutivi e i dati del corpus ASIC (Academic Spoken Italian Corpus), insieme ai risultati di un metodo di estrazione automatica di collocazioni accademiche orali italiane N-ADJ, a partire dai dati di ASIC. …”
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    TUBA1B as a novel prognostic biomarker correlated with immunosuppressive tumor microenvironment and immunotherapy response by Juntao Qi, Juntao Qi, Mingming Zhou, Na Yang, Huiyun Ma, Min He, Gujie Wu, Chang Ge, Liuyin Jin, Lin Cheng, Wei Liao, Hefei Ren, Caiyun Lei

    Published 2025-02-01
    “…Despite its fundamental roles, TUBA1B’s impact on tumor prognosis and the tumor immune microenvironment across cancer types remains inadequately understood.Methods To elucidate TUBA1B’s role in cancer prognosis and immune response, we conducted a comprehensive analysis, integrating data from established databases such as The Cancer Genome Atlas, Genotype Tissue Expression, Cancer Cell Lineage Encyclopedia, Human Protein Atlas, Kaplan-Meier Plotter, cBioPortal, TIMER, and ImmuCellAI, along with a large-scale clinical study and immunotherapy cohort. …”
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