Multi-Omics Insights into Microbiome and Metabolite Signatures as Potential Biomarkers for Feline Hypertrophic Cardiomyopathy by Yuhong Wu (21545486)

“…Compared to healthy cats, those with HCM exhibited significant gut microbiota dysbiosis, including decreased abundances of <i>Campilobacterota</i>, <i>unclassified_k_norank_d_Bacteria</i>, <i>Blautia</i>, <i>Helicobacter</i>, and <i>Ruminococcus_torques_group</i>, while <i>Romboutsia</i> and <i>Lactococcus</i> were enriched in the HCM group. …”

Modelling wolf Canis lupus _Biscan et al. 2025 by Matko Bišćan (21342806)

“…This study modeled wolf population dynamics in Slavonia and neighboring areas using 11 scenarios, categorized into three groups: adverse events, increased carrying capacity, and population supplementation. …”

Data Sheet 1_Balancing conservation and community needs: challenges, threats, and socioeconomic disparities in Kakamega Forest, Kenya.docx by Ibrahim Osewe (21460079)

“…Illegal logging emerged as the most significant threat to KFE, regardless of wealth category, followed by a lack of awareness of conservation efforts, with significant differences in perception across wealth categories. …”

Effect of Gasdermin-D inhibition on expression of phenotypic transition markers in CER treated VSMCs during Vascular Calcification. by Razia Rashid Rahil (22772495)

“…(B) Summarized bar graph showed DIS significantly decreased calcium deposition in CER treated P_i-induced VSMCs. …”

Table 2_Modified maxillomandibular advancement for Eastern Asian patients with moderate or severe OSA: an anatomic and aerodynamic assessment of the upper airway.xlsx by Kan Li (490394)

“…The apnea–hypopnea index (36.05 ± 17.68 vs. 5.72 ± 4.76, p < 0.001) and the ESS (13.23 ± 8.9 vs. 6.23 ± 6.81 events/h, p < 0.05) decreased significantly, while the lowest oxygen saturation (76.54 ± 10.26% vs. 84.77 ± 6.02%, p < 0.05) improved greatly. …”

Table 1_Modified maxillomandibular advancement for Eastern Asian patients with moderate or severe OSA: an anatomic and aerodynamic assessment of the upper airway.xlsx by Kan Li (490394)

“…The apnea–hypopnea index (36.05 ± 17.68 vs. 5.72 ± 4.76, p < 0.001) and the ESS (13.23 ± 8.9 vs. 6.23 ± 6.81 events/h, p < 0.05) decreased significantly, while the lowest oxygen saturation (76.54 ± 10.26% vs. 84.77 ± 6.02%, p < 0.05) improved greatly. …”

Data Sheet 1_The CENPN/STAT3/USP37 signaling axis promotes invasion, migration and metastasis in nasopharyngeal carcinoma.docx by Yu-Fei Wang (322119)

“…</p>Results<p>The invasion and migration capacities of nasopharyngeal carcinoma cells decreased significantly after CENPN knockdown, whereas the overexpression of CENPN significantly promoted the invasion and metastasis abilities of nasopharyngeal carcinoma cells. …”

Data Sheet 1_Meiotic chiasmata variations in the H genome among Triticeae species of varying ploidy.docx by Ying Yang (24175)

“…The frequency of chiasmata significantly decreased from H. bogdanii to E. sibiricus and H. brevisubulatum in both the terminal and interstitial regions. …”

Table 1_Meiotic chiasmata variations in the H genome among Triticeae species of varying ploidy.xlsx by Ying Yang (24175)

“…The frequency of chiasmata significantly decreased from H. bogdanii to E. sibiricus and H. brevisubulatum in both the terminal and interstitial regions. …”

Data Sheet 2_Long-term aerobic exercise improves learning memory capacity and effects on oxidative stress levels and Keap1/Nrf2/GPX4 pathway in the hippocampus of APP/PS1 mice.docx by Shiyan Wang (1594996)

“…The level of ROS in the hippocampal region was significantly reduced by aerobic exercise (p < 0.05), with decreased Keap1 protein expression of and increased Nrf2, HO-1, GPX4 protein expression (p < 0.05).…”

Data Sheet 1_Long-term aerobic exercise improves learning memory capacity and effects on oxidative stress levels and Keap1/Nrf2/GPX4 pathway in the hippocampus of APP/PS1 mice.zip by Shiyan Wang (1594996)

“…The level of ROS in the hippocampal region was significantly reduced by aerobic exercise (p < 0.05), with decreased Keap1 protein expression of and increased Nrf2, HO-1, GPX4 protein expression (p < 0.05).…”

Schematic diagram of chromosome crossover. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Vehicle-only delivery routes. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Delivery route diagram of Stage 4. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Manhattan delivery route. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Final delivery routes of vehicle-assisted UAVs. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Customer point clustering results. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Schematic diagram of chromosome mutation. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

Flight path in three-dimensional space. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”

IKM Pseudo – code. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.…”