scholarly journals InAs/GaSb Type-II Superlattice Detectors

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Elena A. Plis
Keyword(s):  
Dark Current ◽  
High Performance ◽  
Current Status ◽  
Full Potential ◽  
Type Ii ◽  
Sensing Material ◽  
Pros And Cons ◽  
Current Reduction ◽  
Strained Layer Superlattices ◽  
Detection Technologies

InAs/(In,Ga)Sb type-II strained layer superlattices (T2SLs) have made significant progress since they were first proposed as an infrared (IR) sensing material more than three decades ago. Numerous theoretically predicted advantages that T2SL offers over present-day detection technologies, heterojunction engineering capabilities, and technological preferences make T2SL technology promising candidate for the realization of high performance IR imagers. Despite concentrated efforts of many research groups, the T2SLs have not revealed full potential yet. This paper attempts to provide a comprehensive review of the current status of T2SL detectors and discusses origins of T2SL device performance degradation, in particular, surface and bulk dark-current components. Various approaches of dark current reduction with their pros and cons are presented.

scholarly journals Recent applications of quantitative analytical FTIR spectroscopy in pharmaceutical, biomedical, and clinical fields: A brief review

2022 ◽  
Vol 41 (1) ◽  
pp. 21-33
Author(s):  
Khairi Mustafa Fahelelbom ◽  
Abdullah Saleh ◽  
Moawia M. A. Al-Tabakha ◽  
Akram A. Ashames
Keyword(s):  
High Performance Liquid Chromatography ◽  
Fourier Transform ◽  
Ftir Spectroscopy ◽  
High Performance ◽  
Scientific Literature ◽  
Current Status ◽  
Full Potential ◽  
Biomedical Sciences ◽  
The Subject ◽  
Shed Light

Abstract Qualitative Fourier transform infrared (FTIR) spectroscopy has long been established and implemented in a wide variety of fields including pharmaceutical, biomedical, and clinical fields. While the quantitative applications are yet to reach their full potential, this technique is flourishing. It is tempting to shed light on modern engaging and the applicability of analytical quantitative FTIR spectroscopy in the aforementioned fields. More importantly, the credibility, validity, and generality of the application will be thoroughly demonstrated by reviewing the latest published work in the scientific literature. Utilizing FTIR spectroscopy in a quantitative approach in pharmaceutical, biomedical, and interdisciplinary fields has many undeniable advantages over traditional procedures. An insightful account will be undertaken in this regard. The technique will be introduced as an appealing alternative to common methods such as high performance liquid chromatography. It is anticipated that the review will offer researchers an update of the current status and prospect on the subject among the pharmacy and biomedical sciences both in academic and industrial fields.

Dark Current Reduction Strategy via a Layer-By-Layer Solution Process for a High-Performance All-Polymer Photodetector

2019 ◽  
Vol 11 (8) ◽  
pp. 8350-8356 ◽  
Author(s):  
Zhiming Zhong ◽  
Laju Bu ◽  
Peng Zhu ◽  
Tong Xiao ◽  
Baobing Fan ◽  
...  
Keyword(s):  
Dark Current ◽  
High Performance ◽  
Solution Process ◽  
Layer By Layer ◽  
Reduction Strategy ◽  
Current Reduction ◽  
Layer Solution

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

Sport, science and politics in Indonesia: challenges in epistemology within an evolving global context

2020 ◽  
Vol 42 (3) ◽  
pp. 4-17
Author(s):  
John Saunders ◽  
Rusli Lutan
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
High Performance ◽  
Health Sector ◽  
Health Science ◽  
Current Status ◽  
Sport Science ◽  
Economic Entity ◽  
Science And Politics ◽  
International Sport

This paper considers the current status of physical education and sport science in Indonesia from the perspective of the development of the professional knowledge base and research culture surrounding its practice. It seeks to place the field’s development within the broader context of international sport studies from 1945 to 2020. It identifies as major influences the process of globalisation and the growth of international sport as a significant political and economic entity. Physical education is acknowledged as a common historical base for the three modern strands within contemporary sports studies – medical /and health science, high performance studies, and sports business management. Future developments are considered in the context of the current pandemic. Covid19 and the world’s response to it has impacted on some key dimensions which underpin the current global sports economy – namely easy and convenient travel and the gathering of crowds in the widespread consumption of live sport. It is suggested that this might cause a major reset in the conduct of elite sport and sport festivals. The continuing growth of the physical activity and health sector is predicted and in the context of the serious challenges facing the sporting sector a case is made for increased resources to be moved back into the educational study and practice of sport and physical activity as a universal good.

Clinical Pharmacokinetic Studies in Pregnant Women and the Relevance of Pharmacometric Tools

2019 ◽  
Vol 25 (5) ◽  
pp. 483-495 ◽  
Author(s):  
André Dallmann ◽  
Paola Mian ◽  
Johannes Van den Anker ◽  
Karel Allegaert
Keyword(s):  
Pregnant Women ◽  
Clinical Pharmacokinetic ◽  
Individual Variability ◽  
Current Status ◽  
Pharmacokinetic Studies ◽  
Full Potential ◽  
Pbpk Models ◽  
Pregnancy And Postpartum ◽  
Population Pk ◽  
The Impact

Background: In clinical pharmacokinetic (PK) studies, pregnant women are significantly underrepresented because of ethical and legal reasons which lead to a paucity of information on potential PK changes in this population. As a consequence, pharmacometric tools became instrumental to explore and quantify the impact of PK changes during pregnancy. Methods: We explore and discuss the typical characteristics of population PK and physiologically based pharmacokinetic (PBPK) models with a specific focus on pregnancy and postpartum. Results: Population PK models enable the analysis of dense, sparse or unbalanced data to explore covariates in order to (partly) explain inter-individual variability (including pregnancy) and to individualize dosing. For population PK models, we subsequently used an illustrative approach with ketorolac data to highlight the relevance of enantiomer specific modeling for racemic drugs during pregnancy, while data on antibiotic prophylaxis (cefazolin) during surgery illustrate the specific characteristics of the fetal compartments in the presence of timeconcentration profiles. For PBPK models, an overview on the current status of reports and papers during pregnancy is followed by a PBPK cefuroxime model to illustrate the added benefit of PBPK in evaluating dosing regimens in pregnant women. Conclusions: Pharmacometric tools became very instrumental to improve perinatal pharmacology. However, to reach their full potential, multidisciplinary collaboration and structured efforts are needed to generate more information from already available datasets, to share data and models, and to stimulate cross talk between clinicians and pharmacometricians to generate specific observations (pathophysiology during pregnancy, breastfeeding) needed to further develop the field.

scholarly journals Optimization of a Low-Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 783 ◽  
Author(s):  
Andrea Gaiardo ◽  
David Novel ◽  
Elia Scattolo ◽  
Michele Crivellari ◽  
Antonino Picciotto ◽  
...  
Keyword(s):  
Low Power ◽  
Failure Analysis ◽  
Gas Sensors ◽  
High Performance ◽  
Gas Sensing ◽  
Mechanical Failure ◽  
Sensing Applications ◽  
Theoretical Approaches ◽  
Sensing Material ◽  
Silicon Bulk

The substrate plays a key role in chemoresistive gas sensors. It acts as mechanical support for the sensing material, hosts the heating element and, also, aids the sensing material in signal transduction. In recent years, a significant improvement in the substrate production process has been achieved, thanks to the advances in micro- and nanofabrication for micro-electro-mechanical system (MEMS) technologies. In addition, the use of innovative materials and smaller low-power consumption silicon microheaters led to the development of high-performance gas sensors. Various heater layouts were investigated to optimize the temperature distribution on the membrane, and a suspended membrane configuration was exploited to avoid heat loss by conduction through the silicon bulk. However, there is a lack of comprehensive studies focused on predictive models for the optimization of the thermal and mechanical properties of a microheater. In this work, three microheater layouts in three membrane sizes were developed using the microfabrication process. The performance of these devices was evaluated to predict their thermal and mechanical behaviors by using both experimental and theoretical approaches. Finally, a statistical method was employed to cross-correlate the thermal predictive model and the mechanical failure analysis, aiming at microheater design optimization for gas-sensing applications.

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