Model prediction error trend chart. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

Basic physical parameters of red clay. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

BP neural network structure diagram. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

Structure diagram of GBDT model. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

Model prediction error analysis index. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

Fitting curve parameter table. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

Model prediction error analysis. by Hongqi Wang (2208238)

“…<div><p>This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. …”

IRE1 depletion downregulates multiple cell cycle proteins in synchronized cells. by Iratxe Zuazo-Gaztelu (21071939)

Impact of solar radiation power on temperature field. by Guoli Li (291427)

Flowchart of analysis. by Fanqiang Meng (4786071)

“…Migration didn’t make a big difference but caused a greater financial burden. …”

Fig 1B raw image. by Rachel K. Meade (22216529)

“…<i><i>Ctsz</i></i> disturbance within murine macrophages enhances production of chemokine (C-X-C motif) ligand 1 (CXCL1), a known biomarker of TB severity. From a Ugandan household contact study, we identify significant associations between <i>CTSZ</i> variants and TB disease severity. …”

Fig 4 - by Kirralise J. Hansford (20670869)

Complete list of 81 <i>CTSZ</i> SNPs present in Ugandan household contact study cohorts and their associations with TB severity. by Rachel K. Meade (22216529)

Survey sample distribution. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

An exemplary case one year after open wedge high tibial osteotomy (OWHTO) for right knee osteoarthritis. by Yusuke Fuchioka (22806178)

Variable definition and descriptive statistics. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

Robustness test. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

Overview of selected datasets. by Tejaswini Baral (14320736)

“…Moreover, geographical location exerts a more significant impact on microbial diversity than the disease state in a specific location, highlighting the potential for precision medicine to tailor interventions based on individual or regional microbiome characteristics.…”

Combined illusion score index across conditions (NI: Non-Illusion; NIT: Non-Illusion Tactile; MS: Multisensory; UV: Unimodal Visual). by Kirralise J. Hansford (20670869)

Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)