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Nanotechnology in Healthcare Management
Published in Khalid Rehman Hakeem, Majid Kamli, Jamal S. M. Sabir, Hesham F. Alharby, Diverse Applications of Nanotechnology in the Biological Sciences, 2022
Ifrah Manzoor, Muzafar Ahmad Rather, Saima Sajood, Showkeen Muzamil Bashir, Sohail Hassan, Manzoor-u-Rehman, Rabia Hamid
A pregnancy test measures the human chorionic gonadotropin (HcG) hormone in urine. This kit uses gold nanoparticles (less than 50 nm in diameter). If HcG hormone-detected nanoparticles reflect red or pink color indicates pregnancy positive, otherwise blue or gray indicates pregnancy negative (Rojanathanes et al., 2008). This results in the reduction of time of detection.
Design and analysis of a water-soluble BSA protein biosensor based on a plasmonic nanodisk resonator
Published in Waves in Random and Complex Media, 2023
Kaveh Moeinimaleki, Amir Habibzadeh-Sharif, Faezeh Bahrami-Chenaghlou, Afshin Ahmadpour
It has been reported that various diseases could be diagnosed through the variation of refractive index changes in blood or body secretions, such as skin cancer, breast cancer, pregnancy test, and so on, which could be sensed with a plasmonic sensor [16]. So far, some designs have been introduced to sense the concentration of BSA protein. In [17], an LSPR sensor has been presented based on an optical fiber. A microfluidic structure with a 1 cm long sensing region has been applied for this device. The microfluidic part of this sensor has a vast occupied area compared to sensors based on micro and nanoresonators. In [18], a multimode optical fiber sensor has been designed with a 1 cm long sensing region which supports SPPs to sense the concentration of BSA protein. This sensor also has a large footprint and is not suitable for integration. In addition to the fiber optic platform, it has been shown in [19] that the resonance wavelengths of the metamaterial-based plate can be shifted by varying the concentration of BSA. Each circular cell of this metamaterial plate has a diameter of about 80 μm, and by repeating it periodically on the corresponding plane, the sensor’s final dimensions significantly increase. Also, the use of lenses and reflectors in this design substantially increases the dimensions of the sensing region. Finally, it seems that using optical fibers to sense the concentration of BSA protein is very common in technologies other than integrated optics [1,17–20].
Effects of heat load and hypobaric hypoxia on cognitive performance: a combined stressor approach
Published in Ergonomics, 2023
Charelle Bottenheft, Eric L. Groen, Douwe Mol, Pierre J. L. Valk, Mark M. J. Houben, Boris R. M. Kingma, Jan B. F. van Erp
After online registration for this study, participants received a medical questionnaire that they had to send to the medical doctor. Participants were approved or rejected based on the answers on this medical questionnaire. Upon approval, participants were invited for a screening- and training visit. This visit started with a presentation about the aim and consequences of the study. If the participant agreed to participate in the study, he or she signed the informed consent. After signing, a physical examination, an ECG, pregnancy test, and drug test were done by medical personnel. Next, participants received a training session with the computer tasks. This training session consisted of three times a 5-min practice session of the VigTrack. The individual subtasks of both the SYNWIN and the MATB-II were explained one by one and practiced separately for about 10 min. Afterwards, participants practiced both the SYNWIN and the MATB-II three times for 10 min as multitasks, i.e. all four subtasks of both the SYNWIN and the MATB-II at the same time. In case participants did not achieved a composite score of 1000 or higher on the SYNWIN, the participants had to repeat the 10-min practice session.
Impact of the seated height to stature ratio on torso segment parameters
Published in Ergonomics, 2020
Zachary Merrill, Charles Woolley, Rakié Cham
A total of 280 working adults participated in this study (Table 1). Participants were recruited according to gender, age and BMI, in order to attempt to enroll equal numbers in four BMI categories (normal weight: 18.5 ≤ BMI <25.0, overweight: 25.0 ≤ BMI <30.0, obese: 30.0 ≤ BMI < 40.0 and morbidly obese BMI ≥40.0 kg m−2) across three age groups young (21 ≤ age < 40), middle (40 ≤ age < 55) and old (55 ≤ age < 70), in order to avoid any collinearities that may exist between age and BMI in the full adult population. After obtaining informed written consent, each participant had his or her height and mass recorded to confirm eligibility based on BMI. Female participants of childbearing age were then required to complete a pregnancy test, with a negative result being required for eligibility. A whole body DXA scan (Hologic QDR 1000/W, Bedford, MA, USA) of each participant was then collected using the same methods used in prior studies (Chambers et al. 2010; Chambers et al. 2011; Merrill et al. 2019), with the participant lying supine as shown in Figure 1.