Evidence for the defect-pool model from induced recombination level shifts in undopeda-Si:H

1993 ◽  
Vol 48 (12) ◽  
pp. 8709-8714 ◽  
Author(s):  
I. Balberg ◽  
Y. Lubianiker
Keyword(s):  
Recombination Level ◽  
Level Shifts ◽  
Pool Model

The Influence of Interfaces on the Gap State Distribution of Undoped a-Si:H

1990 ◽  
Vol 192 ◽  
Author(s):  
G. Schumm ◽  
G. H. Bauer
Keyword(s):  
Fermi Level ◽  
Transit Time ◽  
Reverse Bias ◽  
State Distribution ◽  
Band Bending ◽  
Time Regime ◽  
Level Shifts ◽  
Pool Model ◽  
Annealing Effects ◽  
Gap State

ABSTRACTModulated primary photocurrent (MPC) studies on pin structures show spatial variations of the gap state distribution across the i-layer that can be correlated with Fermi level shifts by band bending towards interfaces. These results as well as reverse bias annealing effects are explained in terms of the defect pool model. It is demonstrated that MPC measurements are basically identical to TOF measurements with clear advantages in the post-transit time regime.

scholarly journals Characteristics of visits and predictors of admission from a paediatric emergency room in Saudi Arabia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohammad H. Al-Qahtani ◽  
Abdullah A. Yousef ◽  
Bassam H. Awary ◽  
Waleed H. Albuali ◽  
Mohammed A. Al Ghamdi ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Binary Logistic Regression ◽  
Total Sample ◽  
Age Group ◽  
Chi Squared ◽  
Improper Use ◽  
Level Shifts ◽  
The Impact

Abstract Background The Emergency Repartment (ER) is one of the most used areas in healthcare institutions. Problems with over utilisation and overcrowding have been reported worldwide. This study aims at examining the characteristics of paediatric ER visits, the rate of hospital admissions and its associated predictors at King Fahd Hospital of the University in the Eastern Province of Saudi Arabia. Methods This is a retrospective, medical record-based study. Variables included gender, age group, nationality, complaints, Triage level, shifts and seasons. Descriptive statistics were reported as frequencies/percentages. P-values were obtained through a Chi-Squared test while unadjusted and adjusted odds ratios were estimated by binary logistic regression, where admission was considered as the outcome. Results The total number of paediatric patients included was 46,374, and only 2.5% were admitted. Males comprised 55.4% while females comprised 44.6%. The most common age group were toddlers, and 92.4% of the total sample were Saudis. The most common complaint was fever (26.9%) followed by respiratory symptoms (24.9%). Only 7 patients (0.02%) were classified as triage I (Resuscitation), and most were triage IV (Less urgent) (71.0%). Most visits occurred during the winter months. Adjusted ORs showed that neonates had higher odds of admission (OR = 3.85, 95%CI = 2.57–5.76). Moreover, those presenting with haematological conditions showed an OR of 65.49 (95%CI = 47.85–89.64), followed by endocrine conditions showing an OR of 34.89 (95%CI = 23.65–51.47). Triage I had a very high odds of admission (OR = 19.02, 95%CI = 2.70–133.76), whereas triage V was associated with a very low odds of admission (OR = 0.30, 95%CI = 0.23–0.38). Conclusions A low rate of hospital admission was found in comparison with other rates worldwide. This was mostly attributed to an alarmingly high number of non-urgent ER visits. This further emphasises the problem with improper use of ER services, as these cases should be more appropriately directed towards primary healthcare centres. Further studies to examine the impact of prioritising patients in the ER based on the identified predictors of hospital admission, in addition to the standard triage system, are suggested.

scholarly journals Optimization of Laser Powder Bed Fusion Processing Using a Combination of Melt Pool Modeling and Design of Experiment Approaches: Density Control

2019 ◽  
Vol 3 (1) ◽  
pp. 21 ◽  
Author(s):  
Morgan Letenneur ◽  
Alena Kreitcberg ◽  
Vladimir Brailovski
Keyword(s):  
Scanning Speed ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Density Prediction ◽  
Melt Pool ◽  
Density Control ◽  
Pool Model ◽  
Conventional Material ◽  
Prediction Approach

A simplified analytical model of the laser powder bed fusion (LPBF) process was used to develop a novel density prediction approach that can be adapted for any given powder feedstock and LPBF system. First, calibration coupons were built using IN625, Ti64 and Fe powders and a specific LPBF system. These coupons were manufactured using the predetermined ranges of laser power, scanning speed, hatching space, and layer thickness, and their densities were measured using conventional material characterization techniques. Next, a simplified melt pool model was used to calculate the melt pool dimensions for the selected sets of printing parameters. Both sets of data were then combined to predict the density of printed parts. This approach was additionally validated using the literature data on AlSi10Mg and 316L alloys, thus demonstrating that it can reliably be used to optimize the laser powder bed metal fusion process.

Motor-Unit Pool Model of Continuous and Discrete Force Variability

Motor Control ◽  
2011 ◽  
Vol 15 (4) ◽  
pp. 439-455 ◽  
Author(s):  
Xiaogang Hu ◽  
Karl M. Newell
Keyword(s):  
Motor Unit ◽  
Force Variability ◽  
Pool Model

Core-level shifts in complex metallic systems from first principle

2006 ◽  
Vol 243 (11) ◽  
pp. 2447-2464 ◽  
Author(s):  
Weine Olovsson ◽  
Christian Göransson ◽  
Tobias Marten ◽  
Igor A. Abrikosov
Keyword(s):  
Core Level ◽  
First Principle ◽  
Level Shifts ◽  
Metallic Systems

SpherosiloxaneH8Si8O12clusters on Si(001): First-principles calculation of Si2pcore-level shifts

1996 ◽  
Vol 54 (4) ◽  
pp. R2339-R2342 ◽  
Author(s):  
Alfredo Pasquarello ◽  
Mark S. Hybertsen ◽  
Roberto Car
Keyword(s):  
First Principles ◽  
First Principles Calculation ◽  
Level Shifts

Surface core level shifts of A II–VI compound: CdTe

1988 ◽  
Vol 206 (3) ◽  
pp. L871-L879 ◽  
Author(s):  
K.C. Prince ◽  
G. Paolucci ◽  
V. Cháb ◽  
M. Surman ◽  
A.M. Bradshaw
Keyword(s):  
Core Level ◽  
Level Shifts
Sign in / Sign up

Export Citation Format

Share Document