Table 1_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.docx by Jiawen He (7828505)

“…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …”

Image 3_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …”

Table 2_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.…”

Table 4_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.…”

Image 1_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …”

Table 3_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.…”

Table 1_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.…”

Table 2_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.docx by Jiawen He (7828505)

“…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …”

Image 2_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …”

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> by Li Yang (13558573)

“…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…”

<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. by Adam Master (20316450)

“…<p dir="ltr"> Software tool designed to calculate 5’UTR properties, enabling the creation of oligonucleotides that can trigger gene-specific enhancement of protein translation.<br> An excel-based calculator - dGenhancer can be used to search for putative 5’UTR cis-acting elements, which functional activity could be determined by Gibbs energy-dependent secondary structure formation. …”

Polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…The temperature is maintained at 1000K to facilitate diffusion events, and a time step of 1fs as employed throughout the simulations. …”

Climate anomalies due to Cerrado native vegetation loss by Argemiro Leite-Filho (10283801)

“…Our methodology includes the following steps: (1) using machine learning algorithms to model climate variability across the Brazilian Cerrado, (2) evaluating model accuracy, (3) applying a detrending procedure to remove trends related to other factors than deforestation, and (4) validating the detrending process to ensure its reliability.…”

Figures for heart attack prediction using ML by Krishnaraj Chadaga (20563994)

“…<p dir="ltr">Heart attack prediction using machine learning involves analyzing biomarkers such as cholesterol levels, blood pressure, heart rate, glucose levels, and inflammatory markers like C-reactive protein to assess risk. Advanced algorithms, including logistic regression, decision trees, random forests, and deep learning models, process this data to identify patterns linked to heart attacks. …”

Table 1_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.docx by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

Image 2_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

Image 1_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

Table 1_Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation.docx by Hong Chen (108084)

“…Introduction<p>Chronic kidney disease (CKD) poses a significant global health challenge, requiring timely interventions to manage renal function decline. …”

AP-2α 相关研究 by Ya-Hong Wang (21080642)

“…The experiment was repeated three times. *P < 0.05, **P < 0.01, ***P < 0.001 (Student's t-test).…”