Image 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 5_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 4_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

<b>The taste of rebirth: a dual exploration of Wuhuang pork Flavoromics and metabolomics</b> by Yiting Yang (19262941)

“…<p dir="ltr">In this study, metabolomics and flavoromics were used to comprehensively characterize the meat quality indicators, metabolites and flavor compounds of two muscles of Wuhuang pig, a newly recognized local breed in China. The results showed that the pH value of Wuhuang pork was in the range of 5.57-6.17, while the pH of the longissimus dorsi muscle (LDM) decreased rapidly, while that of the psoas major muscle (PMM) remained stable. …”

A comprehensive assessment of sustainable mortar containing tannery sludge and wheat straw fibre by Rkia Zari (22698213)

Image_1_Oat polar lipids and sunflower lecithin similarly improve cardiometabolic risk markers and appetite controlling hormone responses after breakfast and a subsequent lunch. A... by Mohammad Mukul Hossain (20128593)

“…Dietary intake of bioactive compounds found in foods are linked to a decrease likelihood of these disorders. For this purpose, a randomized crossover meal study was performed to compare the postprandial metabolic effects of lecithin and oat polar lipids in healthy subjects.…”

A systematic review of the efficacy and safety of anti-amyloid beta monoclonal antibodies in treatment of Alzheimer’s disease by Akanksha Chhabra (71080)

“…</p> <p>According to CDR-SB measurements, lecanemab showed effectiveness in reducing brain amyloid and cognitive decline, with a change from baseline of 1.21. Aducanumab resulted in a decrease of −0.39 (−22%). …”

Cognitive function decoding of brain regions. by Tianyuan Lei (19683861)

Model parameter indicators. by Hongwei Bai (1447999)

“…The classification is performed using a global max-pooling layer followed by a Softmax layer. …”

Accuracy and loss values of each model. by Hongwei Bai (1447999)

“…The classification is performed using a global max-pooling layer followed by a Softmax layer. …”

Classification of bearing data labels. by Hongwei Bai (1447999)

“…The classification is performed using a global max-pooling layer followed by a Softmax layer. …”

Combatting opioid misuse, overuse and abuse: a systematic review of pharmacists' services and outcomes by Bhuvan KC (11503540)

“…</p> <p>Pharmacists' services significantly reduce opioid-related harm, including through naloxone programs and opioid de-escalation.…”

Spatial patterns of developmental changes in nodal entropy using different statistical models. by Tianyuan Lei (19683861)

Association of Patient Cost-Sharing with Adherence to GLP-1a and Adverse Health Outcomes by Donglan Zhang (702608)

“…Results Among 61,907 adults initiated GLP-1a, higher 30-day OOP costs were associated with decreased adherence. …”

Multiscale QM/MM Simulations Identify the Roles of Asp239 and 1‑OH···Nucleophile in Transition State Stabilization in Arabidopsis thaliana Cell-Wall Invertase 1 by Wijitra Jitonnom (22410515)

“…The 1-OH···nucleophile interaction has been found to provide an important contribution to the transition state stabilization, with a contribution of ∼7 kcal/mol, and affected glycosylation more significantly than deglycosylation. …”

Table 1_Working like a mule? The physiological toll of heavy loads on mules.docx by Tamara Tadich (17244898)

“…Enzymatic activities of γ-glutamyltransferase (GGT), lactate dehydrogenase (LDH), and alkaline phosphatase (SAP/ALP) also increased with heavier loads, suggesting greater muscular effort and mild tissue stress. Conversely, glutathione peroxidase (GPx) activity decreased as load increased, implying increased oxidative demand. …”