Table 3_Epidemiology of neonatal disorders attributable to low birthweight-global burden of disease research, 1990–2021.xlsx by Qi Zhang (28502)

“…</p>Conclusion<p>Over the past 32 years, the global burden of neonatal diseases attributable to LBW has significantly decreased, but inequality in disease burden has intensified. …”

Table 2_Epidemiology of neonatal disorders attributable to low birthweight-global burden of disease research, 1990–2021.xlsx by Qi Zhang (28502)

“…</p>Conclusion<p>Over the past 32 years, the global burden of neonatal diseases attributable to LBW has significantly decreased, but inequality in disease burden has intensified. …”

Image 2_Viral encephalitis and seizures cause rapid depletion of neuronal progenitor cells and alter neurogenesis in the adult mouse dentate gyrus.tif by Alberto Pauletti (10920690)

“…They resumed proliferation at 14 dpi, but, did not recover to CTR levels, and displayed aberrant migration patterns. (2) The number of proliferating NSCs significantly decreased within the dorsal DG of TMEV mice at 14 dpi compared to CTR, while (3) a heightened population of proliferating astrocytes was observed. …”

Image 3_Viral encephalitis and seizures cause rapid depletion of neuronal progenitor cells and alter neurogenesis in the adult mouse dentate gyrus.tif by Alberto Pauletti (10920690)

“…They resumed proliferation at 14 dpi, but, did not recover to CTR levels, and displayed aberrant migration patterns. (2) The number of proliferating NSCs significantly decreased within the dorsal DG of TMEV mice at 14 dpi compared to CTR, while (3) a heightened population of proliferating astrocytes was observed. …”

Image 4_Viral encephalitis and seizures cause rapid depletion of neuronal progenitor cells and alter neurogenesis in the adult mouse dentate gyrus.tif by Alberto Pauletti (10920690)

“…They resumed proliferation at 14 dpi, but, did not recover to CTR levels, and displayed aberrant migration patterns. (2) The number of proliferating NSCs significantly decreased within the dorsal DG of TMEV mice at 14 dpi compared to CTR, while (3) a heightened population of proliferating astrocytes was observed. …”

Table 2_Impact of chemoradiotherapy for first primary lung cancer on the prognosis and re-chemoradiotherapy sensitivity of second primary lung cancer.docx by Zhe Chen (196097)

“…Patients with SPLC who received combined chemoradiotherapy for FPLC exhibited significantly reduced survival times (OS: HR=1.157, P=0.030; CSS: HR=1.198, P=0.018), a finding confirmed across multiple models. …”

Table 3_Impact of chemoradiotherapy for first primary lung cancer on the prognosis and re-chemoradiotherapy sensitivity of second primary lung cancer.docx by Zhe Chen (196097)

“…Patients with SPLC who received combined chemoradiotherapy for FPLC exhibited significantly reduced survival times (OS: HR=1.157, P=0.030; CSS: HR=1.198, P=0.018), a finding confirmed across multiple models. …”

Supplementary Material for: MicroRNA-4497 is Downregulated in Pediatric Allergic Diseases and Suppresses Th2 Inflammation in an Animal Model by figshare admin karger (2628495)

“…Furthermore, levels of IL-4, MDC and methacholine Penh were significantly decreased in a miR-4497 treated mouse model. …”

Atorvastatin neuronal morphology data_CP.xlsxData set: neuronal morphology by Carolyn Pytte (20641508)

“…Our findings indicate that atorvastatin may affect neural cytoarchitecture in both newly formed and mature neurons, perhaps as a consequence of decreased cholesterol availability in the brain.…”

Table 3_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

Image 3_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

Table 2_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

Image 5_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

Image 2_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

Image 4_Integrated metagenomics and metabolomics analysis reveals dynamic changes of microbiota and metabolic profile during fermentation of cigar tobacco (Nicotiana tabacum L.) le... by Ting Yang (189879)

“…<p>Optimizing fermentation duration is critical for producing high-quality cigar tobacco leaves This study examines changes in microorganisms and metabolites during CTL fermentation at four time points: 0 days (T0), 25 days (T1), 50 days (T2), and 75 days (T3). We observed a decreasing trend in total soluble sugars, starch, total nitrogen, and nicotine levels as fermentation progressed. …”

<b>The inhibitory and anti-inflammatory effects of TMP269 on peste des petits ruminants virus replication</b> by miaomiao li (20222181)

“…Western blot analysis showed that TMP269 treatment significantly suppressed PPRV replication in Vero and caprine endometrial epithelial cells (EECs). …”

Complexity comparison of different models. by Li Yuan (102305)

“…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …”

Flow of operation of improved KMA. by Li Yuan (102305)

“…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …”

Improved DAE based on LSTM. by Li Yuan (102305)

“…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …”