MEMS Technologies Enabling the Future Wafer Test Systems

As the form factor of microelectronic systems and chips are continuing to shrink, the demand for increased connectivity and functionality shows an unabated rising trend. This is driving the evolution of technologies that requires 3D approaches for the integration of devices and system design. The 3D technology allows higher packing densities as well as shorter chip-to-chip interconnects. Micro-bump technology with through-silicon vias (TSVs) and advances in flip chip technology enable the development and manufacturing of devices at bump pitch of 14 μm or less. Silicon carrier or interposer enabling 3D chip stacking between the chip and the carrier used in packaging may also offer probing solutions by providing a bonding platform or intermediate board for a substrate or a component probe card assembly. Standard vertical probing technologies use microfabrication technologies for probes, templates and substrate-ceramic packages. Fine pitches, below 50 μm bump pitch, pose enormous challenges and microelectromechanical system (MEMS) processes are finding applications in producing springs, probes, carrier or substrate structures. In this chapter, we explore the application of MEMS-based technologies on manufacturing of advanced probe cards for probing dies with various new pad or bump structures

FEAR, ANXIETY, BURNOUT, AND INSOMNIA LEVELS OF HEALTHCARE WORKERS DURING COVID-19 PANDEMIC IN TURKEY

Background: This study aims to assess fear, anxiety, anxiety sensitivity, burnout, and insomnia of healthcare workers (HCWs) during novel coronavirus-2019 (COVID-19) outbreak and to identify their relation to sociodemographic and clinical characteristics. Subjects and methods: Totally 600 HCWs were included in this cross-sectional study. A Sociodemographic Data Form, Coronavirus Anxiety Scale (CAS), Fear of COVID-19 Scale (FCV-19S), Anxiety Sensitivity Index-3 (ASI-3), Maslach Burnout Inventory (MBI), and Insomnia Severity Index (ISI) were used. Results: Of participants, 364 were females and 236 were males with a mean age of 33,49+-7,29 years. About 95.3% of HCWs had a fear of infecting their loved ones. Mean MBI and ISI scores were significantly higher among HCWs working in COVID-19 clinics and intensive care units (p=0.000; p=0.039). Mean CAS, FCV-19S, MBI, and ISI scores were significantly higher in women than men (p=0.000; p=0.000; p=0.027; p=0.005). Mean CAS and ISI scores were significantly higher among nurses (p=0.008; p=0.004), while mean ASI-3 of the other HCWs and MBI scores of physicians were significantly higher (p=0.009; p=0.000). Conclusion: The COVID-19 pandemic is a major health issue associated with psychiatric illnesses in HCW subgroups with distinct sociodemographic characteristics. It is of utmost importance to develop individualized preventive and therapeutic psychiatric services for HCWs

FEAR, ANXIETY, BURNOUT, AND INSOMNIA LEVELS OF HEALTHCARE WORKERS DURING COVID-19 PANDEMIC IN TURKEY

Background: This study aims to assess fear, anxiety, anxiety sensitivity, burnout, and insomnia of healthcare workers (HCWs) during novel coronavirus-2019 (COVID-19) outbreak and to identify their relation to sociodemographic and clinical characteristics. Subjects and methods: Totally 600 HCWs were included in this cross-sectional study. A Sociodemographic Data Form, Coronavirus Anxiety Scale (CAS), Fear of COVID-19 Scale (FCV-19S), Anxiety Sensitivity Index-3 (ASI-3), Maslach Burnout Inventory (MBI), and Insomnia Severity Index (ISI) were used. Results: Of participants, 364 were females and 236 were males with a mean age of 33,49+-7,29 years. About 95.3% of HCWs had a fear of infecting their loved ones. Mean MBI and ISI scores were significantly higher among HCWs working in COVID-19 clinics and intensive care units (p=0.000; p=0.039). Mean CAS, FCV-19S, MBI, and ISI scores were significantly higher in women than men (p=0.000; p=0.000; p=0.027; p=0.005). Mean CAS and ISI scores were significantly higher among nurses (p=0.008; p=0.004), while mean ASI-3 of the other HCWs and MBI scores of physicians were significantly higher (p=0.009; p=0.000). Conclusion: The COVID-19 pandemic is a major health issue associated with psychiatric illnesses in HCW subgroups with distinct sociodemographic characteristics. It is of utmost importance to develop individualized preventive and therapeutic psychiatric services for HCWs

Experimental determination of optimal clamping torque for AB-PEM fuel cell

Polymer electrolyte Membrane (PEM) fuel cell is an electrochemical device producing electricity by the reaction of hydrogen and oxygen without combustion. PEM fuel cell stack is provided with an appropriate clamping torque to prevent leakage of reactant gases and to minimize the contact resistance between gas diffusion media (GDL) and bipolar plates. GDL porous structure and gas permeability is directly affected by the compaction pressure which, consequently, drastically change the fuel cell performance. Various efforts were made to determine the optimal compaction pressure and pressure distributions through simulations and experimentation. Lower compaction pressure results in increase of contact resistance and also chances of leakage. On the other hand, higher compaction pressure decreases the contact resistance but also narrows down the diffusion path for mass transfer from gas channels to the catalyst layers, consequently, lowering cell performance. The optimal cell performance is related to the gasket thickness and compression pressure on GDL. Every stack has a unique assembly pressure due to differences in fuel cell components material and stack design. Therefore, there is still need to determine the optimal torque value for getting the optimal cell performance. This study has been carried out in continuation of development of Air breathing PEM fuel cell for small Unmanned Aerial Vehicle (UAV) application. Compaction pressure at minimum contact resistance was determined and clamping torque value was calculated accordingly. Single cell performance tests were performed at five different clamping torque values i.e 0.5, 1.0, 1.5, 2.0 and 2.5 N m, for achieving optimal cell performance. Clamping pressure distribution tests were also performed at these torque values to verify uniform pressure distribution at optimal torque value. Experimental and theoretical results were compared for making inferences about optimal cell performance. A clamping torque value of 1.5 N m was determined experimentally to be the best for getting optimal performance as well as uniform pressure distribution for this specific fuel cell

Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from Cα Coordinates

Determining Secondary Structure Elements (SSEs) for any protein is crucial as an intermediate step for experimental tertiary structure determination. SSEs are identified using popular tools such as DSSP and STRIDE. These tools use atomic information to locate hydrogen bonds to identify SSEs. When some spatial atomic details are missing, locating SSEs becomes a hinder. To address the problem, when some atomic information is missing, three approaches for classifying SSE types using Ca atoms in protein chains were developed: (1) a mathematical approach, (2) a deep learning approach, and (3) an ensemble of five machine learning models. The proposed methods were compared against each other and with a state-of-the-art approach, PCASSO

An Approach for Economic Analysis of Intermodal Transportation

A different intermodal transportation model based on cost analysis considering technical, economical, and operational parameters is presented. The model consists of such intermodal modes as sea-road, sea-railway, road-railway, and multimode of sea-road-railway. A case study of cargo transportation has been carried out by using the suggested model. Then, the single road transportation mode has been compared to intermodal modes in terms of transportation costs. This comparison takes into account the external costs of intermodal transportation. The research reveals that, in the short distance transportation, single transportation modes always tend to be advantageous. As the transportation distance gets longer, intermodal transportation advantages begin to be effective on the costs. In addition, the proposed method in this study leads to determining the fleet size and capacity for transportation and the appropriate transportation mode

The SPARE score reliably predicts the conversion from open partial to radical nephrectomy

Aim To assess the power of nephrometry scores to predict the intraoperative conversion from partial nephrectomy (PN) to radical nephrectomy (RN). Methods We identified all the patients at our institution who were scheduled for PN between April 2012 and December 2017. Patients who underwent robotic or laparoscopic surgery were excluded. A total of 149 patients (94 men) who underwent open surgery and had complete data were included. The power of the R.E.N.A.L., PADUA, SPARE, and DAP scores to predict the conversion to RN, and the threshold values were assessed. In the multivariate analysis, the predictive power of the nephrometry scores was tested by separately including them in different models. Results The median age was 57 (48-67) years, while the median follow-up was 15 (7-29.5) months. The overall conversion rate was 10.7%. The optimal cut-off values for the R.E.N.A.L., PADUA, SPARE, and DAP scores were 7.5, 9.5, 5.5 and 7.5, respectively. The SPARE score had the highest area under the curve (AUC=0.807, P<0.001). In the multivariate analysis, the SPARE score had the highest odds ratio (OR 12.561; confidence interval 3.456-45.534, P<0.001]. Conclusion A high SPARE score was significantly associated with the conversion to RN in patients who underwent open PN

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London