Units of non-point source agricultural pollution. by Cangyu Li (10312677)

“…The main source of TN emissions has shifted from livestock to farmland straw; (2) the total pollutant load exhibited a distinct spatial distribution pattern. Specifically, the southern part of the study area had the highest pollutant loads, followed, respectively, by the eastern, northern, and western parts; (3) the decoupling relationship between ANPSP emissions and agricultural output values showed fluctuating changes, dominated by weak and strong decoupling status, with gradual improvement. (4) Henan Province was divided into three primary non-point source pollution control zones using cluster analysis, namely high, moderate, and low-risk zones. …”

Cycle threshold values at which a specific number of dogs out of 11 dogs was able to detect SARS-CoV-2 in samples from Merida, Yucatán, México. by Víctor M. Vidal-Martínez (18707335)

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Results of a dog’s detections after exposure to sweat samples from positive and negative people to SARS-CoV-2, together with the Ct values of the RT-qPCR test of each person partic... by Víctor M. Vidal-Martínez (18707335)

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Does a correlation exist between delayed vaccination and a decreased vaccine confidence? by Virginia Reverte (9046494)

“…Online questionnaire was sent to their parents, followed by a telephone questionnaire for non-responders. Regarding MMR first dose, a significant association was found between delay and birth order and intellectual/motor delay of children. …”

Intent to decrease use of OTC NSAIDs and NSAID exposure. by Matthew G. Vinson (22593374)

“…<p>(A) Scatter plot of the group effect on intent to decrease use of OTC NSAIDs at pre-intervention and post-intervention. …”

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Gaussian model fitted of the number of dogs detections of SARS-CoV-2, depending on the cycle threshold (Ct) values of RT-qPCR tests for SARS-CoV-2. by Víctor M. Vidal-Martínez (18707335)

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Cephalometric measurement points. by Lijuan Liu (136685)

Percent pollution of different agricultural non-point sources pollutants between 2001 and 2023 in Henan Province, China. by Cangyu Li (10312677)

The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

CT Values of reference materials. by Guosong Jing (20840261)

Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…Within the subgroup with a R.E.N.A.L. score of less than 7 points, the MR group only showed a significant reduction in operation time [(134.55 ± 150.190) min vs. (150.19 ± 28.638) min, P = 0.045], with no notable differences in other parameters. …”

The resistivity at a depth of 18cm at different time points under unsaturated conditions varies with depth. by Kui Suo (20614613)

PAP I point mutations lead to a decrease in pYV PCN, plasmid stability, and T3SS activity. by Katherine Schubert (5452712)

IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

Sensitivity and specificity of 11 dogs trained to detect SARS -CoV-2 from the sweat of positive and negative people from Mérida, Yucatán compared with the reference test (RT-qPCR).... by Víctor M. Vidal-Martínez (18707335)

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Details of the 11 fully trained dogs exposed to sweat samples of SARS-CoV-2 positive and negative humans. by Víctor M. Vidal-Martínez (18707335)

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Selected point of entry health desks. by Aney Rijal (21262075)

“…<div><p>Purpose</p><p>This research aimed to identify the barriers and facilitators in implementation fidelity of malaria screening at Nepal-India border Point of Entry (POE) health desks.</p><p>Method</p><p>A mixed-method approach was used guided by an implementation fidelity framework. …”

Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

“…In contrast, BCVA in the non-recurrence group significantly improved from 0.31 ± 0.25 preoperatively to 0.25 ± 0.25, 0.23 ± 0.26, 0.23 ± 0.28, 0.21 ± 0.27, 0.20 ± 0.30, and 0.16 ± 0.30 over the same time points (Kruskal–Wallis test, P < 0.001; Dunn’s test, *P < 0.05, **P < 0.01). …”

Sampling point (Source: by Yonggang Huang (223155)