Introgression of Asian soybean rust resistant genes into elite soybean lines from Uruguay by Jhon Larzábal (14107016)

“…Throughout history, different authors have stated the importance of genetic resistance as a fundamental tool to decrease the adverse effects of phytopathogens, leading to agriculture sustainability. …”

Effectiveness of Self-Help plus and problem management plus interventions in providing psychological support to clients of Opioid Agonist treatment programs in Ukraine by Viktoriia Gorbunova (21728671)

“…The SH+ showed additional benefits, a decrease in missed medication doses, and a reduction in PTSD and depression symptoms.…”

Effect of local papaverine on arteriovenous fistula maturation in patients with end-stage renal disease by Reza Manani (7141757)

“…Four functional fistulas, 1 (1.8%) in the case group and 3 (5.5%) in the control group, failed to mature (p=0.618). …”

Plasma fatty acid profile in dairy cows associated with the inclusion of annatto in their diet by Clarissa Sampaio de Oliveira Lima (8402226)

“…The objective of this study was to evaluate the plasma lipid profile and plasma fatty acids of dairy cows receiving diets supplemented with annatto. A total of 32 Holstein cows (550 kg), distributed in a completely randomized design, were allocated to individual stalls and submitted to following treatments: C0 = no annatto; C4 = inclusion of annatto at 4 g kg-1 dry matter (DM) of diet (0.07 g bixin kg-1 diet); C5 = inclusion of annatto at 5 g kg-1 DM of diet (0.09 g bixin kg-1 diet); and C7 = inclusion of annatto at 7 g kg-1 DM of diet (0.12 g bixin kg-1 diet). …”

Data_Sheet_4_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_3_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_1_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_1_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_3_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Preparation and Characterization of Homologous Diiron Dithiolato, Diselenato, and Ditellurato Complexes: [FeFe]-Hydrogenase Models by Mohammad K. Harb (2331892)

“…Treatment of Fe₃(CO)₁₂ with 3,3-bis(thiocyanatomethyl)oxetane (<b>1</b>) or a mixture of 2-oxa-6,7-dithiaspiro[3.4]octane (<b>2a</b>) and 2-oxa-6,7,8-trithiaspiro[3.5]nonane (<b>2b</b>) in toluene at reflux afforded the model compound Fe₂(μ-S₂C₅H₈O)(CO)₆ (<b>3</b>). …”

Data_Sheet_2_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_2_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_4_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Analysis of dopant diffusion in molten germanium induced by pulsed nd : yag laser by Mousa, Ali M. [علي مطشر موسى]

“…Doped sample Tann = 200- 500 C for time t mn = 45 subjected to subsequent thermal annealing (at the temperature and to plused leacr annealing (en<5rgy density in a min) pluse E=5.2 - 9.5 J/cm2) in order to establish optimal condition. …”
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Profiling, purification and identification of the protein corresponding to the 8317 <i>m/z</i> peak. by Pierre Hibert (470627)

“…<p><b>A:</b> Representative SELDI-TOF-MS protein spectra of plasma sample from one Control, one RIPC 5′, and one RIPC 10′ rat. …”

LGR4 is required for RSPO1-induced Wnt/β-catenin signaling. by Heinz Ruffner (150990)

“…(b) Expression of LGR4, LGR5 and LGR6 rescue LGR4 siRNA-elicited decrease in RSPO1-induced STF reporter activation. …”

Effect of positive end-expiratory pressure (PEEP) on left ventricular (LV) filling by Thomas Luecke (62130)

Data_Sheet_1_Core Sets of Kinematic Variables to Consider for Evaluation of Gait Post-stroke.PDF by Heidi Nedergård (10662370)

“…These core sets contained: (1) a spatial (Stride/Step length) or a temporal variable (Self-selected gait speed/Stance time/Swing time or Duration of 2nd double-support), (2) Pelvis sagittal ROM or Ankle plantarflexion during push-off, and (3) Arm Posture Score or Cadence or a knee/shoulder joint angle variable. …”

Table_1_Core Sets of Kinematic Variables to Consider for Evaluation of Gait Post-stroke.DOCX by Heidi Nedergård (10662370)

“…These core sets contained: (1) a spatial (Stride/Step length) or a temporal variable (Self-selected gait speed/Stance time/Swing time or Duration of 2nd double-support), (2) Pelvis sagittal ROM or Ankle plantarflexion during push-off, and (3) Arm Posture Score or Cadence or a knee/shoulder joint angle variable. …”

Loss of <i>bmm</i> in the somatic cells of the gonad with an independent RNAi line has no effect on triglyceride storage or breakdown in females. by Lianna W. Wat (8339454)

“…(F) Triglyceride breakdown post-starvation among 5-day-old virgin <i>c587>UAS-bmm;UAS-bmm-RNAi</i> females and control females (<i>c587</i>>+ and <i>+>UAS-bmm;UAS-bmm-RNAi</i>) showed a modest decrease of a similar magnitude at both 0–12 hours or 12–24 hours STV (<i>p</i> = 0.0043, 1.7 × 10⁻⁶, and 0.0027 for 0–12 hours and 0.0, 2.6 × 10⁻⁶, and 2.9 × 10⁻⁴ for 12–24 hours, respectively; one-way ANOVA followed by Tukey HSD test). …”