Production process. by Melika Abbasi (19935257)

“…Concerning physiological parameters, it resulted in a slight decrease in heart rate at the end of the work shift and a marginal increase in participants’ blood oxygen levels. …”

Study flow diagram. by Melika Abbasi (19935257)

“…Concerning physiological parameters, it resulted in a slight decrease in heart rate at the end of the work shift and a marginal increase in participants’ blood oxygen levels. …”

Baseline analysis, nominal factors. by Hiroaki Yoshikawa (4615801)

“…Regarding treatment, the utilization of tacrolimus, plasma exchange (PE), and intravenous immunoglobulin (IVIg) significantly increased between 2006 and 2018. In contrast, the rates of thymectomy and both maximum and current oral steroid dosages decreased during this period.…”

Minimal dataset for the study. by Hiroaki Yoshikawa (4615801)

“…Regarding treatment, the utilization of tacrolimus, plasma exchange (PE), and intravenous immunoglobulin (IVIg) significantly increased between 2006 and 2018. In contrast, the rates of thymectomy and both maximum and current oral steroid dosages decreased during this period.…”

Baseline analysis, continuous factors. by Hiroaki Yoshikawa (4615801)

“…Regarding treatment, the utilization of tacrolimus, plasma exchange (PE), and intravenous immunoglobulin (IVIg) significantly increased between 2006 and 2018. In contrast, the rates of thymectomy and both maximum and current oral steroid dosages decreased during this period.…”

Multivariable analysis between 2006 and 2018. by Hiroaki Yoshikawa (4615801)

“…Regarding treatment, the utilization of tacrolimus, plasma exchange (PE), and intravenous immunoglobulin (IVIg) significantly increased between 2006 and 2018. In contrast, the rates of thymectomy and both maximum and current oral steroid dosages decreased during this period.…”

GI variables of single-task versus dual-task. by Angeloh Stout (21755757)

“…We also observed a more constrained and less efficient center of pressure path, with reduced posterior displacement during the weight shift phase. Muscle activation, particularly in the tibialis anterior and biceps femoris, decreased during dual-task conditions, indicating altered neuromuscular strategies. …”

STW variables of single-task versus dual-task. by Angeloh Stout (21755757)

“…We also observed a more constrained and less efficient center of pressure path, with reduced posterior displacement during the weight shift phase. Muscle activation, particularly in the tibialis anterior and biceps femoris, decreased during dual-task conditions, indicating altered neuromuscular strategies. …”

Average diet diversity from the Shannon Index (top panel) and average energy density (bottom panel) from frequency of occurrence data before and after 2014. by Ana Lucía Pozas-Franco (20858792)

Raw data set for Table 3. by Smriti Shrestha (21212910)

“…<div><p>A significant reduction in influenza incidence during the early days of COVID-19 pandemic was reported worldwide. …”

FluMart Data from 2018 to 2022. by Smriti Shrestha (21212910)

“…<div><p>A significant reduction in influenza incidence during the early days of COVID-19 pandemic was reported worldwide. …”

Rat partial phase response curve obtained from entrainment protocol. by Xian Chen (107385)

Short-Ranged United-Atom Model for Efficient Simulations of Glycerol and Its Aqueous Mixtures by Prabir Khatua (1738339)

“…The model captures the conformational shift from γγ to αα as glycerol transitions from gas to the liquid phase, emphasizing the role of intermolecular hydrogen bonds in stabilizing open conformations. …”

Data source and description. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Analytical framework. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Location of the study area. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Influencing factor index system. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Functional predictions and abundance top 15. by Xia Deng (613144)

“…The FUN Guild prediction showed that six groups of plant pathogens and plant saprotrophs changed significantly (<i>P <</i> 0.05), the amount of harmful bacteria in the soil increased while the amount of arbuscular mycorrhizal fungui (AMF) decreased, leading to a continuous cropping obstacle of lavender. …”

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

ABR wave I and IV parameters in response to clicks. by Carolin Jüchter (17384611)