An Upper Bound for Accuracy of Prediction Using GBLUP.

This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of the reference population increases for common or rare QTL alleles through simulations. Haplotypes derived from whole-genome sequence of 85 Caucasian individuals from the 1,000 Genomes Project were used to simulate random mating in a population of 10,000 individuals for at least 100 generations to create the LD structure in humans for a large number of individuals. To reduce computational demands, only SNPs within a 0.1M region of each of the first 5 chromosomes were used in simulations, and therefore, the total genome length simulated was 0.5M. When the genome length is 30M, to get the same genomic prediction R2 as with a 0.5M genome would require a reference population 60 fold larger. Three scenarios were considered varying in minor allele frequency distributions of markers and QTL, for h2 = 0.8 resembling height in humans. Total number of markers was 4,200 and QTL were 70 for each scenario. In this study, we considered the prediction accuracy in terms of an estimability problem, and thereby provided an upper bound for reliability of prediction, and thus, for prediction R2. Genomic prediction methods GBLUP, BayesB and BayesC were compared. Our results imply that for human height variable selection methods BayesB and BayesC applied to a 30M genome have no advantage over GBLUP when the size of reference population was small (<6,000 individuals), but are superior as more individuals are included in the reference population. All methods become asymptotically equivalent in terms of prediction R2, which approaches genomic heritability when the size of the reference population reaches 480,000 individuals

A molecularly imprinted electrochemical biosensor based on hierarchical Ti2Nb10O29 (TNO) for glucose detection

A novel molecularly imprinted electrochemical biosensor for glucose detection is reported based on a hierarchical N-rich carbon conductive-coated TNO structure (TNO@NC ). Firstly, TNO@NC was fabricated by a novel polypyrrole-chemical vapor deposition (PPy-CVD) method with minimal waste generation. Afterward, the electrode modification with TNO@ NC was performed by dropping TNO@NC particles on glassy carbon electrode surfaces by infrared heat lamp. Finally, the glucose-imprinted electrochemical biosensor was developed in presence of 75.0 mM pyrrole and 25.0 mM glucose in a potential range from+ 0.20 to +1.20 V versus Ag/AgCl via cyclic voltammetry (CV). The physicochemical and electrochemical characterizations of the fabricated molecularly imprinted biosensor was conducted by transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) method, X-ray photoelectron spectroscopy (XPS), electrochemical impedance spectroscopy (EIS), and CV techniques. The findings demonstrated that selective, sensitive, and stable electrochemical signals were proportional to different glucose concentrations, and the sensitivity of molecularly imprinted electrochemical biosensor for glucose detection was estimated to be 18.93 RA mu M-1 cm(-2) ( R-2 = 0.99) = 0.99) at + 0.30 V with the limit of detection (LOD) of 1.0 x10(-6) M. Hence, it can be speculated that the fabricated glucose-imprinted biosensor may be used in a multitude of areas, including public health and food quality

Electrochemical immunosensor development based on core-shell high-crystalline graphitic carbon nitride@carbon dots and Cd0.5Zn0.5S/d-Ti3C2Tx MXene composite for heart-type fatty acid-binding protein detection

Acute myocardial infarction (AMI) is a significant health problem owing to its high mortality rate. Heart-type fatty acid-binding protein (h-FABP) is an important biomarker in the diagnosis of AMI. In this work, an electrochemical h-FABP immunosensor was developed based on Cd0.5Zn0.5S/d-Ti3C2Tx MXene (MXene: Transition metal carbide or nitride) composite as signal amplificator and core-shell high-crystalline graphitic carbon nitride@carbon dots (hc-g-C3N4@CDs) as electrochemical sensor platform. Firstly, a facile calcination technique was applied to the preparation of hc-g-C3N4@CDs and immobilization of primary antibody was performed on he-g-C3N4@CDs surface. Then, the conjugation of the second antibody to Cd0.5Zn0.5S/d-Ti3C2Tx MXene was carried out by strong pi-pi and electrostatic interactions. The prepared electrochemical h-FABP immunosensor was characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), x-ray diffraction (XRD) method, Fourier-transform infrared spectroscopy (FTIR), x-ray photoelectron spectroscopy (XPS), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The prepared electrochemical h-FABP immunosensor indicated a good sensitivity with detection limit (LOD) of 3.30 fg mL(-1) in the potential range +0.1 to +0.5 V. Lastly, low-cost, satisfactory stable, and environmentally friendly immunosensor was presented for the diagnosis of acute myocardial infarction

Meeting the Mental Health Needs of Syrian Refugees in Turkey

Movements such as the Arab Spring (as described by popular media) and recent regional conflicts have forced people to leave their homes and flee to other countries or regions. Syrian refugees are currently the second largest refugee group worldwide, with half of them resettled in Turkey. Turkish government and non-governmental civil organizations have mobilized efforts to address the immediate survival needs of these refugees such as food, shelter and other provisions. Despite efforts to manage the complexity of mental health and social service needs of forcibly displaced people, counseling services are still lacking. This expository article addresses the mental health needs of Syrian refugees and provides implications for counseling professionals working with displaced people from a crisis intervention approach built on principles and perspectives of humanistic mental health. In addition, programs of support, such as the Mental Health Facilitator program, are discussed

Savojna svojstva lameliranog drva izrađenoga od topolovine i GFRP-a

In this study, 4 layers of 5 mm thick slats obtained by sawing method from poplar wood were used. Plain woven GRFP with low density and grammage of 100 g/m2 (Type 1) and plain woven GRFP with high density and grammage of 200 g/m2 (Type 2) were placed and glued between each layer. Polyvinyl acetate (PVAc-D4), Polyurethane (PU) and dual-component Epoxy (L285-resin and H285-hardener) adhesives were used for gluing the layers. Strength values (bending and modulus of elasticity) between the obtained layers were investigated. As a result of the study, it was determined that epoxy glue has higher strength than polyurethane and polyvinyl acetate glues; Type 2 plain woven fabric has higher strength than Type 1 plain woven fabric; and parallel load to the glue line results in higher performance than perpendicular load to the glue line.U radu se prikazuje istraživanje lameliranog drva izrađenoga od piljenjem proizvedenih topolovih platica debljine 5 mm složenih u četiri sloja. Između svakog sloja zalijepljena je plošno tkana GRFP tkanina male gustoće i površinske mase 100 g/m2 (tip 1) i plošno tkana GRFP tkanina velike gustoće i površinske mase 200 g/m2 (tip 2). Za lijepljenje drva i tkanine upotrijebljena su ova ljepila: polivinilacetatno (PVAc-D4), poliuretansko (PU) i dvokomponentno epoksidno (L285-mola i H285-otvrdnjivač). Istražene su vrijednosti čvrstoće (savijanje i modul elastičnosti) te je utvrđeno da epoksidno ljepilo ima veću čvrstoću nego poliuretansko i polivinilacetatno ljepilo. Nadalje, tkanina tipa 2 ima veću čvrstoću od tkanine tipa 1, a djelovanjem sile paralelno sa sljubnicom dobivena su bolja svojstva nego pri djelovanju sile okomito na sljubnicu

Electrochemical cardiac troponin I immunosensor based on nitrogen and boron-doped graphene quantum dots electrode platform and Ce-doped SnO2/SnS2 signal amplification

The detection of acute myocardial infarction directly depends on the concentration of the cardiac troponin I (CTnI) in human blood plasma. In this study, the sensitive, selective, and fast sandwich-type electrochemical CTnI immunosensor was developed by using nitrogen and boron-dopped graphene quantum dots -as electrode platform and two-dimensional Ce-dopped SnO2/SnS2 (Ce–SnO2/SnS2) as signal amplification. In preparation of electrochemical CTnI immunosensor, the coordinated covalent bond between capture antibody (anti-CTnI-Ab1) and nitrogen and boron-dopped graphene quantum dots as electrode platform led to immobilization of anti-CTnI-Ab1, and the strong esterification between the secondary antibody (anti-CTnI-Ab2) and thioglycolic acid-modified Ce–SnO2/SnS2 resulted in anti-CTnI-Ab2 conjugation. Finally, the resultant electrochemical CTnI immunosensor was formed via antigen-antibody interaction. High-resolution transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction, Fourier transform infrared spectroscopy, UV–Vis spectroscopy and Raman spectroscopy, as well as some electrochemical characterization techniques, including cyclic voltammetry, differential pulse voltammetry and electrochemical impedance spectroscopy were used to characterize the prepared immunosensor. The detection limit of CTnI in plasma samples was calculated as 2.00 fg mL−1, making it an effective tool for acute myocardial infarction testing. © 2021 Elsevier Lt

Development of Perceived School Counselor Support Scale: Based on the ASCA Mindsets and Behaviors

This study presents a culturally and psychometrically sound instrument of perceived school counselor support among Turkish high school students. The study has been framed using American School Counseling Association’s Mindsets and Behaviors for Students Success Model to create a valuable instrument that measures students’ perceptions of their school counselors’ support in a different culture, society, and education system. The results of this study supported the theoretical based Perceived School Counselor Support Scale long and short forms providing initial and strong evidence based on internal structure and relations to other variables. Internal consistency estimates on subscales ranged from good to strong

Life balance and traumatic txperiences in undergraduate students living near conflict zones

This study aimed to examine the prevalence of PTSD among undergraduate students and how PTSD affected life balance of undergraduate students who live close to conflict zones. The participants of the study were 253 undergraduate students who lived close to conflict zone and witnessed or experienced bombing or war conflicts. Data collection instruments were Juhnke-Balkin Life Balance Inventory- Turkish Form and Turkish Version of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders Fifth Edition. The data were collected in paper-pencil format one month after bombing by terrorists across the border. Structural equation modeling was used in data analysis. The results indicated that PTSD symptomatology positively affects the students’ depression and sleep disturbance levels. However, PTSD symptomatology negatively affects global health and positive orientation. All effect sizes were in small to large range. We suggest that administrators should invest counseling services and have practioners providing help especially for undergraduate students in conflict zones; and to make families familiar with PTSD symptoms. © 2020, Springer Science+Business Media, LLC, part of Springer Nature

Evaluation of the Short Grit Scale (GRIT-S) with Latinx College Students

In the current study, the psychometric properties of a measure of psychological grit among 344 Latinx college students was investigated. Researchers used confirmatory factor analysis to validate a previously identified two-factor model of the Short Grit Scale (Grit-S). Internal consistency was acceptable as measured by coefficient alpha. A two-factor model of Grit-S had a good model fit with the data. A discussion regarding the importance of these findings is provided and implications for counselors and researchers are offered

Evaluation of the Short Grit Scale (GRIT-S) with Latinx College Students

In the current study, the psychometric properties of a measure of psychological grit among 344 Latinx college students was investigated. Researchers used confirmatory factor analysis to validate a previously identified two-factor model of the Short Grit Scale (Grit-S). Internal consistency was acceptable as measured by coefficient alpha. A two-factor model of Grit-S had a good model fit with the data. A discussion regarding the importance of these findings is provided and implications for counselors and researchers are offered