Migration Integration Policies as Social Determinants of health for highly educated immigrants in the United States

Highly educated immigrants are part of the growing population of immigrants who are impacted by the increasingly hostile migration policies in the U.S. This qualitative study used a phenomenological approach and inductive reasoning to explore the possible impacts of migration integration policies as social determinants of health among this group. Data was collected through 31 semi-structured interviewees with highly educated immigrants who had an intention and interest to stay in the U.S. at the time of the interview. Data were analyzed using reflexive thematic analysis and four main themes emerged: (1) a life overshadowed by silent worries, (2) living through uncertainties and forced decisions as the result of migration integration policies, (3) complexities and challenges of living on a work visa, and (4) shared recommendations by interviewees. Documented narratives as part of this study suggest high rates of stress and anxiety as well as negative mental and physical health outcomes among the participants. Results also suggest high levels of internalized vulnerabilities. Participants shared that migration policies can be enhanced in the U.S. to support highly educated immigrants’ growth by creating a better and more transparent communication system, replacing random review processes for applications with systematic procedures, creating expedited pathways to citizenship based on merit, and granting access to work as a basic human right

Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identification

Comparison of novel peptides identified from real proteogenomic databases. (DOCX 68 kb

A Compact Dual-Band RFID Tag Antenna Mountable on Metallic Objects

A compact (50 × 50 × 4 mm3) dual-band radio frequency identification (RFID) tag antenna mountable on metallic objects is proposed for the ultra-high frequency (UHF) band (917∼923.5 MHz) and the microwave (MW) band (2.4∼2.45 GHz). With the proximity-coupled feed loop, the proposed antenna consists of two symmetric planar inverted-F antenna (PIFA) elements for the UHF band passive tag and a meander microstrip patch antenna for the MW band active tag. The performance of the proposed antenna is verified by mounting it on the different sizes of the metallic object. Furthermore, the passive tag antenna in the UHF band furthermore may be used for energy harvesting techniques to improve the lifetime of the active tag in the MW band. The measured maximum read range is 5.50 m in the UHF band and 14.15 m in the MW band when the proposed tag antenna is mounted on the metallic objects. The total efficiency for all operating frequency bands is higher than 50%. High isolation (>12 dB) between tag antennas in the UHF band and the MW band is achieved

Pig-to-Nonhuman Primate (NHP) Naked Islet Xenotransplantation

Islet transplantation is an established therapy for selected type 1 diabetes (T1D) patients with severe hypoglycemic unawareness and glycemic liability despite of insulin treatment. However, the donor organ is limited. Porcine islets are the best alternative source to overcome this limitation, and pig-to-nonhuman primate (NHP) naked islet xenotransplantation studies are being performed worldwide. Several studies including our own have presented successful proof-of-concept results based on immunosuppression regimen including the anti-CD154 monoclonal antibody. Particularly, long-term control of diabetes by adult porcine islet transplantation has been demonstrated in five consecutive monkeys, and the longest survival was ~1000 days after transplantation. Currently, pig-to-NHP islet xenotransplantation based on clinically applicable immunosuppression regimen is being pursued. In this chapter, we will describe all the procedures of pig-to-NHP naked islet xenotransplantation: (1) the porcine islet isolation from designated pathogen-free (DPF) miniature pigs, (2) diabetes induction in monkeys, (3) transplantation procedure via the portal vein, (4) immune monitoring comprising humoral and cellular immunity after porcine islet transplantation, and finally (5) liver biopsy and subsequent immunohistochemical procedure in detail

Large Linear Magnetoresistance in Heavily-Doped Nb:SrTiO\u3csub\u3e3\u3c/sub\u3e Epitaxial Thin Films

Interaction between electrons has long been a focused topic in condensed-matter physics since it has led to the discoveries of astonishing phenomena, for example, high-Tc superconductivity and colossal magnetoresistance (CMR) in strongly-correlated materials. In the study of strongly-correlated perovskite oxides, Nb-doped SrTiO3 (Nb:SrTiO3) has been a workhorse not only as a conducting substrate, but also as a host possessing high carrier mobility. In this work, we report the observations of large linear magnetoresistance (LMR) and the metal-to-insulator transition (MIT) induced by magnetic field in heavily-doped Nb:STO (SrNb0.2Ti0.8O3) epitaxial thin films. These phenomena are associated with the interplay between the large classical MR due to high carrier mobility and the electronic localization effect due to strong spin-orbit coupling, implying that heavily Nb-doped Sr(Nb0.2Ti0.8)O3 is promising for the application in spintronic devices

Longitudinal evolution of cortical thickness signature reflecting Lewy body dementia in isolated REM sleep behavior disorder: a prospective cohort study

Background The isolated rapid-eye-movement sleep behavior disorder (iRBD) is a prodromal condition of Lewy body disease including Parkinson's disease and dementia with Lewy bodies (DLB). We aim to investigate the longitudinal evolution of DLB-related cortical thickness signature in a prospective iRBD cohort and evaluate the possible predictive value of the cortical signature index in predicting dementia-first phenoconversion in individuals with iRBD. Methods We enrolled 22 DLB patients, 44 healthy controls, and 50 video polysomnography-proven iRBD patients. Participants underwent 3-T magnetic resonance imaging (MRI) and clinical/neuropsychological evaluations. We characterized DLB-related whole-brain cortical thickness spatial covariance pattern (DLB-pattern) using scaled subprofile model of principal components analysis that best differentiated DLB patients from age-matched controls. We analyzed clinical and neuropsychological correlates of the DLB-pattern expression scores and the mean values of the whole-brain cortical thickness in DLB and iRBD patients. With repeated MRI data during the follow-up in our prospective iRBD cohort, we investigated the longitudinal evolution of the cortical thickness signature toward Lewy body dementia. Finally, we analyzed the potential predictive value of cortical thickness signature as a biomarker of phenoconversion in iRBD cohort. Results The DLB-pattern was characterized by thinning of the temporal, orbitofrontal, and insular cortices and relative preservation of the precentral and inferior parietal cortices. The DLB-pattern expression scores correlated with attentional and frontal executive dysfunction (Trail Making Test-A and B: R = − 0.55, P = 0.024 and R = − 0.56, P = 0.036, respectively) as well as visuospatial impairment (Rey-figure copy test: R = − 0.54, P = 0.0047). The longitudinal trajectory of DLB-pattern revealed an increasing pattern above the cut-off in the dementia-first phenoconverters (Pearsons correlation, R = 0.74, P = 6.8 × 10−4) but no significant change in parkinsonism-first phenoconverters (R = 0.0063, P = 0.98). The mean value of the whole-brain cortical thickness predicted phenoconversion in iRBD patients with hazard ratio of 9.33 [1.16–74.12]. The increase in DLB-pattern expression score discriminated dementia-first from parkinsonism-first phenoconversions with 88.2% accuracy. Conclusion Cortical thickness signature can effectively reflect the longitudinal evolution of Lewy body dementia in the iRBD population. Replication studies would further validate the utility of this imaging marker in iRBD

Willingness to seek professional mental health service in Asian Americans

The discrepancy between mental health needs and service use has been particularly pronounced in Asian Americans. Given the negative consequences of untreated mental health problems, ways to promote their mental health service use deserve attention. Using Andersen's behavioral model as a conceptual framework, the study explored factors associated with willingness to seek professional mental health service across ethnic-subgroups of Asian Americans. The data were drawn from the 2002 National Latino and Asian American Study. Asian Americans aged 18 over (total n=2,095) were included in the analyses with Chinese (n=600), Vietnamese (n=520), Filipino (n=508), and other Asians (n=467). Logistic regression models were conducted with sets of predictors: (1) predisposing (age, gender, marital status, education, and nativity), (2) mental health needs (diagnosis of psychiatric disorders), (3) enabling variables (health insurance, English proficiency, perceived stigma, social network, and prior exposure of mental health services), and (4) an interaction term between mental health needs and enabling variables. Mental health needs reduced the odds of having willingness to seek service in the sample of Chinese Americans. Vietnamese Americans with no perceived stigma were more likely to be willing to seek professional service. A significant interaction between mental health needs and social network was found in the Vietnamese sample. The linkage between the presence of mental health needs and willingness to seek service in the Vietnamese sample was less likely when they had higher level of social network. Findings highlight similarities and differences between and within subgroups of Asian Americans in the predictors of willingness to seek professional service. The insignificant or negative relationship between mental health needs and willingness may suggest the lack of recognition of mental health problems in Asian Americans. Social network is generally considered as a facilitator for help-seeking behavior, but the combined effect of the presence of mental health needs and higher level of social network may potentially impede Vietnamese Americans from seeking professional service. The distinctive culture of Asian Americans being a collectivistic group needs to be incorporated when developing intervention programs.Social Wor

Abnormal network flow detection based on application execution patterns from Web of Things (WoT) platforms.

In this paper, we present a research work on a novel methodology of identifying abnormal behaviors at the underlying network monitor layer during runtime based on the execution patterns of Web of Things (WoT) applications. An execution pattern of a WoT application is a sequence of profiled time delays between the invocations of involved Web services, and it can be obtained from WoT platforms. We convert the execution pattern to a time sequence of network flows that are generated when the WoT applications are executed. We consider such time sequences as a whitelist. This whitelist reflects the valid application execution patterns. At the network monitor layer, our applied RETE algorithm examines whether any given runtime sequence of network flow instances does not conform to the whitelist. Through this approach, it is possible to interpret a sequence of network flows with regard to application logic. Given such contextual information, we believe that the administrators can detect and reason about any abnormal behaviors more effectively. Our empirical evaluation shows that our RETE-based algorithm outperforms the baseline algorithm in terms of memory usage

Real-World Analysis of the EGFR Mutation Test in Tissue and Plasma Samples from Non-Small Cell Lung Cancer

Molecular evaluation of EGFR mutation is indispensable in treating non-small cell lung cancer (NSCLC). We compared the results of EGFR analysis using tissue DNA (tDNA) and circulating tumor (ctDNA) to evaluate the feasibility of plasma as an effective material for detecting EGFR mutation and the reliability of ctDNA analysis in real-world practice settings. We enrolled 554 NSCLC cases who had undergone ctDNA EGFR analysis between January 2019 and March 2020. EGFR mutations were detected in 240 (57.3%) of the 421 cases with EGFR mutations confirmed by tDNA analysis. In multivariate analysis, the size of the largest tumor deposits, disease progression, M stage, the detectable amount of tumor tissue with EGFR mutation in distant metastasis, liver metastasis, pleural seeding, and bone metastasis (p < 0.05) were identified as independent factors affecting the detection rate of EGFR mutations in ctDNA. Survival analysis revealed ctDNA status and M stage (p < 0.001) to be independent predictors of overall survival in the multivariate analysis. Our study demonstrates that EGFR analysis using ctDNA is a useful clinical tool and can aid in therapeutic decisions in real-world practical settings. However, clinicians should be aware of the possibility of false negatives and confirm EGFR analysis using tDNA in certain situations

Effects of the Ground Resolution and Thresholding on Crack Width Measurements

When diagnosing the condition of a structure, it is necessary to measure the widths of any existing cracks in the structure. To ensure safety when relying on images of cracks, the selected imaging parameters and processing technology must be well understood. In this study, the effects of the ground sample distance and threshold values on the crack width measurement error are analyzed from a theoretical perspective. Here, the main source of such errors is assumed to be due to the mixed pixel phenomena in the left and right boundary pixels. Thus, a mathematical model is proposed in which the intensity changes in these pixels are computed via an equation. In addition, the relationship between the error and error probability distribution is represented with an equation based on the threshold values and mean error. Upon analysis, it was found that the threshold value that minimizes the error is at the mid-point between the background and foreground, and the probabilistic nature of the error indicates that it is theoretically possible to predict both the error and its probability distribution. The proposed model was validated using artificial images