LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images.

Relative radiometric normalization (RRN) is a critical pre-processing step that enables accurate comparisons of multitemporal remote-sensing (RS) images through unsupervised change detection. Although existing RRN methods generally have promising results in most cases, their effectiveness depends on specific conditions, especially in scenarios with land cover/land use (LULC) in image pairs in different locations. These methods often overlook these complexities, potentially introducing biases to RRN results, mainly because of the use of spatially aligned pseudo-invariant features (PIFs) for modeling. To address this, we introduce a location-independent RRN (LIRRN) method in this study that can automatically identify non-spatially matched PIFs based on brightness characteristics. Additionally, as a fast and coregistration-free model, LIRRN complements keypoint-based RRN for more accurate results in applications where coregistration is crucial. The LIRRN process starts with segmenting reference and subject images into dark, gray, and bright zones using the multi-Otsu threshold technique. PIFs are then efficiently extracted from each zone using nearest-distance-based image content matching without any spatial constraints. These PIFs construct a linear model during subject-image calibration on a band-by-band basis. The performance evaluation involved tests on five registered/unregistered bitemporal satellite images, comparing results from three conventional methods: histogram matching (HM), blockwise KAZE, and keypoint-based RRN algorithms. Experimental results consistently demonstrated LIRRN's superior performance, particularly in handling unregistered datasets. LIRRN also exhibited faster execution times than blockwise KAZE and keypoint-based approaches while yielding results comparable to those of HM in estimating normalization coefficients. Combining LIRRN and keypoint-based RRN models resulted in even more accurate and reliable results, albeit with a slight lengthening of the computational time. To investigate and further develop LIRRN, its code, and some sample datasets are available at link in Data Availability Statement.

Induction of resistance, enzyme activity, and phytochemicals in canola plants treated with abscisic acid elevated based on nutrient availability: a case study on Brevicoryne brassicae L. (Hemiptera: Aphididae).

The cabbage aphid, Brevicoryne brassicae L. (Hemiptera: Aphididae), is one of the important pests of cruciferous plants throughout the world including Iran. In the present study, we grew cultivated canola plants under different fertilizers or distilled water and sprayed them with 100 µM abscisic acid (ABA) or a control solution (NaOH dissolved in water) to study (i) the antibiosis parameters of B. brassicae on these plants; (ii) the antixenosis of B. brassicae adults on these plants; (iii) the plant's peroxidase (POD), polyphenol oxidase (PPO), and phenylalanine ammonia-lyase (PAL) activity; and (iv) the plant's total phenolic and glucosinolate content. The results of antibiosis experiments showed that ABA and fertilizers have a profound and negative effect on the performance of B. brassicae. In the antixenosis experiment, control plants attracted a significantly higher number of adult females in comparison to treated plants. Also, B. brassicae had lower performance and preference when they were reared on the ABA-treated fertilized plants with higher levels of phenolic and glucosinolate content. These results prompted us to hypothesize that fertilizers enable canola plants to trigger a higher level of secondary metabolites. Our findings reveal that the type and level of nutrient availability may have different impacts on how the plant regulates its defense mechanisms.

The Efficacy of 4% Articaine Versus 2% Lidocaine in Inducing Palatal Anesthesia for Tooth Extraction in Different Maxillary Regions.

PURPOSE: This study was conducted to ascertain the efficacy of buccal injection of articaine compared to lidocaine in inducing palatal anesthesia in different maxillary regions. MATERIALS AND METHODS: This double-blinded, randomized clinical trial included 300 patients who referred for extraction of 1 maxillary tooth. The patients were categorized into 3 strata according to the extraction area (anterior, premolar, molar), and then randomly assigned to 2 groups based on the administered medication. The first group received buccal infiltration by 0.6 mL of 2% lidocaine, whereas the second group was buccally administered using 0.6 mL of 4% articaine. After a waiting period of 2 minutes, the failure or success in achieving palatal anesthesia was assessed by the instrumentation technique. In cases of failed anesthesia, an additional 0.6 mL of the same anesthetic was given, and the procedure was repeated if palatal anesthesia was not attained after a 2-minute delay. If pain remained 2 minutes after the third injection, a supplemental palatal infiltration was administered and the extraction was attempted. RESULTS: The success rate of buccal infiltration in achieving palatal anesthesia was 82.7% in the articaine group and 1.3% in the lidocaine group. There was a significant difference in the success rate and drug volume required to induce palatal anesthesia between the 2 groups (P < .001), but no significant difference was found between different maxillary regions, using either of the medications (P > .05). CONCLUSIONS: Articaine can be considered as a suitable alternative to lidocaine for eliminating painful palatal infiltration in the extraction of maxillary teeth.

The Comparison of Death Anxiety, Obsession, and Depression Between Muslim Population with Positive and Negative Religious Coping.

Death anxiety, obsession, and depression constitute three dimensions of death distress which can be influenced by religious coping in religious individuals. The aim of this study was to compare death anxiety, depression, and obsession between Muslims with positive and negative religious coping. In a cross-sectional study, a sample of 339 participants were selected via stratified random sampling method. The participants were screened using the Brief Religious Coping Scale, in which 60 individuals were identified to have positive religious coping and 62 individuals were recognized as individuals with negative religious coping. They responded to Death Anxiety Scale, Death Obsession Scale, and Death Depression Scale. The data were analyzed using factor analysis and multiple analysis of variance. The results of principal component analysis showed that death anxiety, death obsession, and death depression were separate factors of death distress. The results also revealed that individuals with negative religious coping gained higher scores than those with positive religious coping in all the three variables of death anxiety, obsession, and depression. Consistent with the previous studies and Terror Management Theory, this finding lays emphasis on the role of positive religious coping in reducing death distress and the possible consequent psychopathology.

CAD system based on B-mode and color Doppler sonographic features may predict if a thyroid nodule is hot or cold.

OBJECTIVES: The aim of this study was to evaluate if the analysis of sonographic parameters could predict if a thyroid nodule was hot or cold. METHODS: Overall, 102 thyroid nodules, including 51 hyperfunctioning (hot) and 51 hypofunctioning (cold) nodules, were evaluated in this study. Twelve sonographic features (i.e., seven B-mode and five Doppler features) were extracted for each nodule type. The isthmus thickness, nodule volume, echogenicity, margin, internal component, microcalcification, and halo sign features were obtained in the B-mode, while the vascularity pattern, resistive index (RI), peak systolic velocity, end diastolic velocity, and peak systolic/end diastolic velocity ratio (SDR) were determined, based on Doppler ultrasounds. All significant features were incorporated in the computer-aided diagnosis (CAD) system to classify hot and cold nodules. RESULTS: Among all sonographic features, only isthmus thickness, nodule volume, echogenicity, RI, and SDR were significantly different between hot and cold nodules. Based on these features in the training dataset, the CAD system could classify hot and cold nodules with an area under the curve (AUC) of 0.898. Also, in the test dataset, hot and cold nodules were classified with an AUC of 0.833. CONCLUSIONS: 2D sonographic features could differentiate hot and cold thyroid nodules. The CAD system showed a great potential to achieve it automatically. KEY POINTS: • Cold nodules represent higher volume (p = 0.005), isthmus thickness (p = 0.035), RI (p = 0.020), and SDR (p = 0.044) and appear hypoechogenic (p = 0.010) in US. • Nodule volume with an AUC of 0.685 and resistive index with an AUC of 0.628 showed the highest classification potential among all B-mode and Doppler features respectively. • The proposed CAD system could distinguish hot nodules from cold ones with an AUC of 0.833 (sensitivity 90.00%, specificity 70.00%, accuracy 80.00%, PPV 87.50%, and NPV 75.00%).

Early maladaptive schemas in patients with schizophrenia and non-patients with high and low schizotypal traits and their differences based on depression severity.

BACKGROUND: The aims of this study were to predict positive and negative symptoms of psychosis via early maladaptive schemas (EMSs) in patients with schizophrenia (SZ); to compare EMSs among SZ patients, non-patients with high schizotypal traits, and non-patients with low schizotypal traits; and to compare EMSs among subgroups concerning depression severity. METHODS: We applied three groups of participants including SZ patients (n = 105), non-patients with low schizotypal traits (n = 90), and non-patients with high schizotypal traits (n = 90). Participants completed the Young Schema Questionnaire-Short Form (YSQ-SF), the Positive and Negative Syndrome Scale (PANSS), the Schizotypal Personality Scale (STA), and the Beck Depression Inventory-II (BDI-II). RESULTS: The results indicated that the mistrust/abuse and social isolation schemas were significant predictors of positive and negative symptoms in SZ patients respectively. SZ patients and non-patients with high schizotypal traits exceeded non-patients with low schizotypal traits on all EMSs. There were no differences between SZ patients and non-patients with high schizotypal traits regarding EMSs. In the subgroups with high depression, SZ patients showed higher levels of EMSs than non-patients with low and high schizotypal traits. In the subgroups with low depression, both SZ patients and non-patients with high schizotypal traits had higher scores on EMSs than non-patients with low schizotypal traits. CONCLUSION: The findings suggest that mistrust/abuse and social isolation may be specific to psychosis symptoms. Also, SZ and schizotypal traits may overlap in relation to EMSs. In addition, the activated EMSs may contribute to high depression in SZ.

A Hybrid Multilayer Filtering Approach for Thyroid Nodule Segmentation on Ultrasound Images.

OBJECTIVES: Speckle noise is the main factor that degrades ultrasound image contrast and segmentation failure. Determining an effective filter can reduce speckle noise and improve segmentation performances. The aim of this study was to define a useful filter to improve the segmentation outcome. METHODS: Twelve filters, including median, hybrid median (Hmed), Fourier Butterworth, Fourier ideal, wavelet (Wlet), homomorphic Fourier Butterworth, homomorphic Fourier ideal, homomorphic wavelet (Hmp_Wlet), frost, anisotropic diffusion, probabilistic patch-based (PPB), and homogeneous area filters, were used to find the best filter(s) to prepare thyroid nodule segmentation. A receiver operating characteristic (ROC) analysis was used for filter evaluation in the nodule segmentation process. Accordingly, 10 morphologic parameters were measured from segmented regions to find the best parameters that predict the segmentation performance. RESULTS: The best segmentation performance was reached by using 4 hybrid filters that mainly contain contrast-limited adaptive histogram equalization, Wlet, Hmed, Hmp_Wlet, and PPB filters. The area under the ROC curve for these filters ranged from 0.900 to 0.943 in comparison with the original image, with an area under the curve of 0.685. From 10 morphologic parameters, the area, convex area, equivalent diameter, solidity, and extent can evaluate segmentation performance. CONCLUSIONS: Hybrid filters that contain contrast-limited adaptive histogram equalization, Wlet, Hmed, Hmp_Wlet, and PPB filters have a high potential to provide good conditions for thyroid nodule segmentation in ultrasound images. In addition to an ROC analysis, morphometry of a segmented region can be used to evaluate segmentation performances.

Anomalous origin of the right pulmonary artery from the ascending aorta accompanied by absent pulmonary valve syndrome and right-sided aortic arch: a rare case in adult congenital heart disease.

We present a rare congenital heart disease in a 20-year-old man with anomalous origin of the right pulmonary artery from the ascending aorta, accompanied by absent pulmonary valve syndrome, and a right-sided aortic arch suspected initially in transthoracic echocardiography and subsequently confirmed by cardiac catheterisation and computed tomography angiography.

Magnetic stirring in syringe dispersive liquid-liquid microextraction as an effective method for preconcentration of tartrazine dye from food samples: A multivariate analysis approach.

A new, rapid, simple, and sensitive preconcentration method and Spectrophotometry determination technique have been presented for the microextraction and determination of trace amount of Tartrazine dye in food samples. In the present system, which is called "Magnetic stirring in syring dispersive liquid-liquid microextraction"(MSIS- DLLME), a cloudy state result is formed in a homemade glass syringe by magnetic agitation. In the MSIS-DLLME system, Tartrazine colour was uprooted into an organic detergent (Toluene) after many twinkles. Subsequently, the organic detergent which was placed on top of the result was transferred into a narrow neck by moving the piston overhead. The effective parameters on the extraction recovery were studied and optimized by Central Composite design (CCD). Under the optimum conditions, the estimation cure is direct in the range of 0.1-1(µg L- 1). The limit of detection (LOD), relative standard divagation and enrichment factor were 0.03 µg L -1, ±4.6 (n = 10) and 166, independently. The advanced system was successfully applied for microextraction of Tartrazine in food samples.

A Review of Auditory Attention: Neural Mechanisms, Theories, and Affective Disorders.

Attention is a fundamental aspect of human cognitive function and is crucial for essential activities such as learning, social interaction, and routine tasks. Notably, Auditory attention involves complex interactions and collaboration among multiple brain networks. Recognizing the impairment of auditory attention, comprehending its underlying mechanisms, and identifying the activated brain regions essential for the development of treatments and interventions for individuals facing auditory attention deficits, emphasizes the significance of investigating these matters. In the current study, we conducted a review by searching for the full text of 53 articles published related to auditory attention, mechanisms, and networks in databases like Science Direct, Google Scholar, ProQuest, and PubMed using the keywords Attention, Auditory Attention, Auditory Attention Impairment, theories of attention were investigated in the years 2000 to 2023 And focused on articles that provided discussions within this research domain. The studies have demonstrated that auditory attention exceeds being an acoustic attribute and assumes a fundamental role in complex acoustic environments, information processing, and even speech comprehension. In the context of this study, we have conducted a review and summary of the proposed theories related to attention and the brain networks involved in different forms of auditory attention. In conclusion, the integration of auditory attention assessments, behavioral observations, and an understanding of the neural mechanisms and brain regions implicated in auditory attention proves to be an effective approach for the diagnosis and treatment of attention-related disorders.

A rare association of the absence of left pulmonary artery with ventricular septal defect, pulmonary hypertension, and more interestingly, patent ductus arteriosus in an adult patient: Case report and literature review.

Key Clinical Message: In this study, we introduced one of the rarest concomitants of the absence of left pulmonary artery (LPA), which was seen in our patient along with patent ductus arteriosus (PDA) and ventricular septal defect (VSD). Abstract: Unilateral absence of pulmonary artery (UAPA) is a congenital heart disease in association with other abnormalities such as tetralogy of Fallot and septal defects or isolated in 30% of cases and occurs in the right lung in two thirds of cases. Our case is a 33-year-old man who was hospitalized with symptoms of cough, shortness of breath, and hemoptysis. The echocardiography revealed a large ventricular septal defect, absent left pulmonary artery, and severe pulmonary hypertension (PH) along with patent ductus arteriosus. These findings were confirmed by CT angiography. This association has rarely been found in past studies. Due to PH and pulmonary infection, the patient was treated with intravenous prostaglandin and antibiotics. However, in cases of timely diagnosis and treatment of UAPA, fatal complications such as pulmonary hypertension, morbidity, and mortality are reduced. This case emphasizes the importance of awareness of this abnormality and its associated anomalies to enable early diagnosis and treatment.

Coronary artery involvement in a patient with IgG4-related disease.

Immunoglobulin G4-related disease (IgG4-RD) is a chronic fibro-inflammatory disorder of obscure etiology characterized by significant infiltration of IgG4-positive plasma cells toward several organs. Coronary artery involvement is rarely seen in IgG4-RD patients; thereby, we aim to outline the noninvasive imaging findings of this rare case. Cardiac magnetic resonance (CMR) and coronary computed tomography angiography (CCTA) from a 15-year-old female diagnosed with IgG4-RD via histopathological assessment of orbital biopsy, were analyzed. CMR showed a severely reduced left ventricular ejection fraction and akinesia of the basal to mid-lateral, anterior, and septal walls. Inflammation of the basal to apical lateral wall and subendocardial infarction of the basal to apical lateral and mid inferoseptal walls were also evident. CCTA findings showed stenosis in branches of the left main artery (LM), left anterior descending artery (LAD), and right coronary artery (RCA), aortitis, and aortic wall thickening. After courses of proper treatment with prednisolone, Cellcept, and adalimumab, follow-up CMR showed significant improvement in LV systolic function and resolution of inflammation. Although IgG4-RD is an uncommon cause of coronary artery disease, it can cause lethal complications such as myocardial infarction. Hence, clinicians should be aware of cardiac complications in these patients.

Computed Tomography-Based Coronary Artery Calcium Score Calculation at a Reduced Tube Voltage Utilizing Iterative Reconstruction and Threshold Modification Techniques: A Feasibility Study.

BACKGROUND: The coronary artery calcium score (CACS) indicates cardiovascular health. A concern in this regard is the ionizing radiation from computed tomography (CT). Recent studies have tried to introduce low-dose CT techniques to assess CACS. We aimed to investigate the accuracy of iterative reconstruction (IR) and threshold modification while applying low tube voltage in coronary artery calcium imaging. METHODS: The study population consisted of 107 patients. Each subject underwent an electrocardiogram-gated CT twice, once with a standard voltage of 120 kVp and then a reduced voltage of 80 kVp. The standard filtered back projection (FBP) reconstruction was applied in both voltages. Considering Hounsfield unit (HU) thresholds other than 130 (150, 170, and 190), CACS was calculated using the FBP-reconstructed 80 kVp images. Moreover, the 80 kVp images were reconstructed utilizing IR at different strength levels. CACS was measured in each set of images. The intraclass correlation coefficient (ICC) was used to compare the CACSs. RESULTS: A 64% reduction in the effective dose was observed in the 80 kVp protocol compared to the 120 kVp protocol. Excellent agreement existed between CACS at high-level (strength level = 5) IR in low-kVp images and the standard CACS protocol in scores ≥ 11 (ICC > 0.9 and p < 0.05). Increasing the threshold density to 190 HU in FBP-reconstructed low-kVp images yielded excellent agreement with the standard protocol in scores ≥ 11 (ICC > 0.9 and p < 0.05) and good agreement in score zero (ICC = 0.84 and p = 0.02). CONCLUSIONS: The modification of the density threshold and IR provides an accurate calculation of CACS in low-voltage CT with the potential to decrease patient radiation exposure.

Parasites in surgically removed appendices as a neglected public health concern: a systematic review and meta-analysis.

The role of various parasitic infections in the occurrence of appendicitis is illustrated through cases recorded all over the world. The purpose of the current study was to estimate the global prevalence of parasite infestation (other than E. vermicularis) in appendectomy specimens.In the setting of the PRISMA guidelines, multiple databases (Science Direct, Scopus, Web of Science, PubMed, and Google Scholar) were explored in articles published until 28 September 2020. Totally, 62 studies (106 datasets) with 77, 619 participants were included in the analysis.The pooled prevalence of parasites in appendectomy samples was as follows; 0.012% (95% CI; 0.004-0.025) for Ascaris lumbricoides, 0.004% (95% CI; 0.001-0.009) for Trichuris trichiura, 0.025% (95% CI; 0.007-0.052) for Schistosoma mansoni, 0.002% (95% CI; 0.001-0.005) for Taenia spp., 0.061% (95% CI; 0.020-0.122) for Entamoeba histolytica and 0.034% (95% CI; 0.018-0.056) for Giardia lamblia.Our results demonstrated that the risk of appendicitis may increase in the presence of helminth and protozoan infections. As such, the most cases of parasites in appendectomy specimens were reported in developing countries. Regular screening plans for diagnosis, treatment and prevention are needed for prevention of parasitic infection as well as parasitic associated appendicitis, especially in endemic regions of the world.

Association between iron deposition in splenic,hepatic and myocardial tissues assessed by T2* relaxometry technique.

BACKGROUND: Decreasing signal intensity of the spleen assessed by T2* MRI is a frequent finding in patients with beta-thalassemia due to iron deposition within the reticuloendothelial cells in this organ. This parameter can also be applied to determine the candidates for blood cell transfusion. However, the association between splenic siderosis and iron overload in other vital organs such as heart and liver remains unclear. The present study aimed to assess the correlation between iron deposition in splenic, hepatic and myocardial tissues by T2* relaxometry technique. METHODS: This cross-sectional study included 39 consecutive patients with a definitive diagnosis of beta-thalassemia major who underwent spleen, liver and heart MRI examinations for iron deposition and cardiac function. RESULTS: No significant correlation was found between the heart and splenic T2* relaxation time (R=0.206, P=0.357). We revealed a strong correlation between the splenic T2* relaxation time and hepatic calculated T2*s (R=0.515, P=0.014). The liver T2* values can be predicted from the splenic T2*s by a new linear equation. According to the ROC curve analysis, the splenic T2* could significantly, but moderately predict moderate to severe from mild liver iron excess (AUC=0.667). CONCLUSION: Our study demonstrated a significant linear correlation between the splenic and hepatic T2* relaxation time, probably indicative of the same iron deposition mechanism, and made us available to write a linear model that would predict the deposited iron density in the spleen with the use of the magnetic resonance T2* values.

Efficacy of Novel Noncontrast Cardiac Magnetic Resonance Methods in Indicating Fibrosis in Hypertrophic Cardiomyopathy.

OBJECTIVE: In hypertrophic cardiomyopathy (HCM), myocardial fibrosis is routinely shown by late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) imaging. We evaluated the efficacy of 2 novel contrast-free CMR methods, namely, diffusion-weighted imaging (DWI) and feature-tracking (FT) method, in detecting myocardial fibrosis. METHODS: This cross-sectional study was conducted on 26 patients with HCM. Visual and quantitative comparisons were made between DWI and LGE images. Regional longitudinal, circumferential, and radial strains were compared between LGE-positive and LGE-negative segments. Moreover, global strains were compared between LGE-positive and LGE-negative patients as well as between patients with mild and marked LGE. RESULTS: All 3 strains showed significant differences between LGE-positive and LGE-negative segments (P < 0.001). The regional longitudinal and circumferential strain parameters showed significant associations with LGE (P < 0.001), while regional circumferential strain was the only independent predictor of LGE in logistic regression models (OR: 1.140, 95% CI: 1.073 to 1.207, P < 0.001). A comparison of global strains between patients with LGE percentages of below 15% and above 15% demonstrated that global circumferential strain was the only parameter to show impairment in the group with marked myocardial fibrosis, with borderline significance (P=0.09). A review of 212 segments demonstrated a qualitative visual agreement between DWI and LGE in 193 segments (91%). The mean apparent diffusion coefficient was comparable between LGE-positive and LGE-negative segments (P=0.51). CONCLUSIONS: FT-CMR, especially regional circumferential strain, can reliably show fibrosis-containing segments in HCM. Further, DWI can function as an efficient qualitative method for the estimation of the fibrosis extent in HCM.

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.

The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVID DeteCT (DCD), a deep learning convolutional neural network (CNN) that uses the entire chest CT volume to automatically predict COVID-19 (COVID+) from non-COVID-19 (COVID-) pneumonia and normal controls. We discuss training strategies and differences in performance across 13 international institutions and 8 countries. The inclusion of non-China sites in training significantly improved classification performance with area under the curve (AUCs) and accuracies above 0.8 on most test sites. Furthermore, using available follow-up scans, we investigate methods to track patient disease course and predict prognosis.

Comparing two methods of LMA insertion; classic versus simplified (airway).

BACKGROUND: The aim of this study is to compare two methods of LMA insertion, "classic" versus "simplified" (AIRWAY), due to factors such as: time to insertion, number of attempts, blood stained LMA, air leak around LMA, and gastric inflation. The word "AIR WAY" refers to the similarity of this method to oropharyngeal airway insertion. METHOD: One hundred ASA class I and II patients elected for lower limb orthopedic surgery but without any head and face injury or head and neck abnormality, having their tooth intact, were selected and divided to two groups of fifty; classic and simplified. In the classic group, the index finger used as a guide, pushes the back of LMA towards the hard palate, inserting it into the pharynx till a resistance is felt and the LMA is then fixed it its place. In the AIRWAY group, the deflated LMA is entered into the mouth in a 180 degree inside-out position compared to the classic method without using fingers and is proceeded until it enters the pharynx (sudden loss of resistance) and then returned 180 degree back to its normal position to be fixed in the right place. The attempt numbers, time to insertion, complications such as laryngospasm, blood stained LMA and gastric inflation is being investigated. RESULT: Demographic data such as age, sex and ASA class, demonstrate no meaningful statistic difference between the two groups. Successful first attempt in AIRWAY group (86%) had no meaningful statistic difference with the classic group (80%) (p > 0.05). The overall success rate in LMA insertion (within two attempts) was 100% and 82% in AIRWAY and classic grdups respectively (p > 0.05) and 11 patients with failed insertion attempts, were excluded from the study. The time for successful insertion was meaningfully less in the AIRWAY group compared to the classic one (p < 0.0001).In the classic group 32% of LMAs became blood stained compared to 16% in the AIRWAY group, which the difference was not meaningful. No other complications such as laryngospasm or oxygen desaturation occurred. CONCLUSION: Comparison of the whole advantages and disadvantages of both groups, mention that, by putting the LMA insertion time together with the low complication rates, the AIRWAY method can be assumed as a preferred simplified method with few complications for inserting LMA.

NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI.

Convolutional neural networks (CNNs) are extensively used in cardiac image analysis. However, heart localization has become a prerequisite to these networks since it decreases the size of input images. Accordingly, recent CNNs benefit from deeper architectures in gaining abstract semantic information. In the present study, a deep learning-based method was developed for heart localization in cardiac MR images. Further, Network in Network (NIN) was used as the region proposal network (RPN) of the faster R-CNN, and then NIN Faster-RCNN (NF-RCNN) was proposed. NIN architecture is formed based on "MLPCONV" layer, a combination of convolutional network and multilayer perceptron (MLP). Therefore, it could deal with the complicated structures of MR images. Furthermore, two sets of cardiac MRI dataset were used to evaluate the network, and all the evaluation metrics indicated an absolute superiority of the proposed network over all related networks. In addition, FROC curve, precision-recall (PR) analysis, and mean localization error were employed to evaluate the proposed network. In brief, the results included an AUC value of 0.98 for FROC curve, a mean average precision of 0.96 for precision-recall curve, and a mean localization error of 6.17 mm. Moreover, a deep learning-based approach for the right ventricle wall motion analysis (WMA) was performed on the first dataset and the effect of the heart localization on this algorithm was studied. The results revealed that NF-RCNN increased the speed and decreased the required memory significantly.

Direct and Indirect Effects of Behavioral Inhibition/Activation Systems on Depression and Current Suicidal Ideation Through Rumination and Self-Reflection.

This study aimed to evaluate direct and indirect effects of the behavioral inhibition system (BIS) and the behavioral activation system (BAS) on depression and current suicidal ideation through rumination and self-reflection in a sample of suicide attempters. Three hundred suicide attempters completed the Rumination/Reflection Questionnaire (RRQ), the Carver and White BIS/BAS scales, the Beck Scale for Suicide Ideation (BSSI), and the Beck Depression Inventory-II (BDI-II). Results revealed that the BAS and BIS had direct effects on suicidal ideation but not depression. Low BAS had an indirect effect on depression through decreased self-reflection. High BIS had an indirect effect on depression via increased rumination. Low BAS and high BIS had indirect effects on suicidal ideation through decreased self-reflection. The findings suggest that low BAS and high BIS may be associated with depression and suicidal ideation in suicide attempters who have decreased self-reflection and increased rumination. Also, increasing self-reflection and reducing rumination as respectively adaptive and maladaptive self-focused attention strategies may prohibit depression and suicidal ideation.