Hourly power generation of solar and wind. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Cooling power of SREH in Case Study-IV. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Technical features of PHEV battery. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Electrical power of SREH in Case Study-III. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Heating power of SREH in Case Study-III. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Conceptual framework of REH under study. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Energy hub architecture. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Electricity and gas prices. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Technical features of central devices. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Results for Case Study-I. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Technical features of wind turbine. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Heating power of SREH in Case Study-IV. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Electrical power of SREH in Case Study-IV. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”

Participant interview topics. by Lex D. de Jong (22138778)

“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”

The participants’ baseline characteristics. by Lex D. de Jong (22138778)

“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”

Sequence composition analysis identifies distinct A + U and C + G base frequencies within subregions of mRNA transcripts – with effects on protein coding potential. by Benjamin S. Pickard (21276556)

Changes in best-corrected visual acuity and total area reduction ratio of the epiretinal membrane (ERM) during follow-up. by Su Hwan Park (15158181)

“…<p>(a) During the follow-up period, the stable group showed no significant change in visual acuity, whereas the progression group exhibited a decrease compared to baseline starting at 12 months, with greater changes than those in the stable group beginning at 6 months. …”

Data. by Su Hwan Park (15158181)

“…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”

Baseline characteristics of patients. by Su Hwan Park (15158181)

“…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”

Variability in performance and response to task dynamics. by Daniel Ramandi (10047543)

“…(B) The analysis of trajectory variability, quantified as DTW distance of consecutive trials, showed a non-significant trend towards greater variability in zQ175 mice, peaking later compared to WT mice (RM two-way ANOVA, genotype p = 0.070 F(1, 20) = 3.660, trial p = 0.0005 F(4.291, 85.82) = 5.351, interaction p = 0.542 F(19, 380) = 0.9329). …”