Classification of the emergent synchronization patterns when stimulating a single brain region for three different cases. by Andrew Patton (10224161)

Type of irAEs and the grades in all cases. by Hidetoshi Sumimoto (19146207)

“…In our study, we conducted logistic regression analysis to assess the risk of irAEs by analyzing 478 cases that received anti-PD-(L)1 Ab and/or anti-CTLA4 Ab at our hospital between April 3, 2017, and May 24, 2022. …”

Type and grade of irAEs in AI (+) cases. by Hidetoshi Sumimoto (19146207)

“…In our study, we conducted logistic regression analysis to assess the risk of irAEs by analyzing 478 cases that received anti-PD-(L)1 Ab and/or anti-CTLA4 Ab at our hospital between April 3, 2017, and May 24, 2022. …”

Parameters for the three main different vaccine uptake scenarios for the Czech Republic. The averages are to be understood across the eligible (16+) population. For German data see... by Simon Bauer (11378195)

Identification of CD41+ MDS (Case 1). by Kiyoyuki Ogata (14978055)

S7 Fig - by Emily M. Javan (15194865)

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Expected time until the local epidemic exceeds 1,000 cumulative infections in a county, assuming <i>R</i>_<i>e</i> = 2.8, a 10% case detection rate, and generation time o... by Emily M. Javan (15194865)

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S5 Fig - by Emily M. Javan (15194865)

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Sensitivity analysis of original estimates (assuming uniform <i>R</i>_<i>e</i> across counties) with respect to the effective reproduction number (<i>R</i><sub><i>e</i></... by Emily M. Javan (15194865)

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Fig 2 - by Emily M. Javan (15194865)

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Model fitting outputs for Kinzamba II (A3) health area. by Christopher N. Davis (1910437)

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The fitting interactions of the association among humidity, windspeed, SO₂ and HFRS cases in Shenyang, 2014–2019 based on the boosted regression tree models. by Ye Chen (241426)

Fig 3 - by Jason Gurney (3139776)

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Study area– 19 provinces of southern Vietnam. by Anne-Frieda Taurel (655558)

“…In the study period, the mean age of dengue cases increased from 12.2 ± 8.8 years old (y/o) to 16.8 ± 13.3 y/o between 2000 and 2015. …”

Association of CXCL16 in aseptic loosening following total hip arthroplasty and its effect on bone metabolism: a case-control study by Langfeng Zhu (22613620)

Visualization of the impact of group, choroidal thickness (CT) and central choroidal thickness (cCT) on the visibility of large choroidal vessels (LCV). by Valentin Hacker (9956024)

Conceptual framework for how tuberculosis active case finding may affect subsequent healthcare-seeking behaviour. by Helena R. A. Feasey (9238957)

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Image_3_Decisive diagnostic clue for infectious abdominal aortic aneurysm caused by Arthrobacter russicus in a diabetic elderly woman with renal dysfunction: A case report and lite... by Hiroyuki Yamamoto (31403)

“…However, persistent abdominal pain with increased serological inflammation necessitated further evaluation. …”

Covid-19 case rate by taxi zones. by Yanan Zhang (1322391)

“…The conclusions of this research are shown as follows: (1) The virus and health care become the major restraining and stimulative factors of taxi demand in post epidemic era. (2) The restraining level of COVID-19 on taxi demand is higher in cold weather. (3) The restraining level of COVID-19 on taxi demand is severely influenced by the curfew policy. (4) Although this virus decreases taxi demand in most of time and places, it can still increase taxi demand in some specific time and places. (5) Along with COVID-19, sports facilities and tourism become obstacles on increasing taxi demand in most of places and time in post epidemic era. …”

Covid-19 case rate by taxi zones. by Yanan Zhang (1322391)

“…The conclusions of this research are shown as follows: (1) The virus and health care become the major restraining and stimulative factors of taxi demand in post epidemic era. (2) The restraining level of COVID-19 on taxi demand is higher in cold weather. (3) The restraining level of COVID-19 on taxi demand is severely influenced by the curfew policy. (4) Although this virus decreases taxi demand in most of time and places, it can still increase taxi demand in some specific time and places. (5) Along with COVID-19, sports facilities and tourism become obstacles on increasing taxi demand in most of places and time in post epidemic era. …”