Average PR Research Articles

An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis.

Symptomatic intracranial atherosclerotic stenosis (SICAS) is the most common etiology of ischemic stroke and one of the main causes of high stroke recurrence. The recurrence of stroke is closely related to the prognosis of ischemic stroke. This study aims to develop a machine learning model based on high-resolution vessel wall imaging (HR-VWI) to predict the risk of stroke recurrence in SICAS. This study retrospectively collected data from 180 SICAS stroke patients treated at the hospital between 2020.01 and 2022.01. Relevant imaging and clinical data were collected, and follow-up was conducted. The dataset was divided into a training set and a validation set in a ratio of 7:3. We employed the least absolute shrinkage and selection operator (LASSO) regression to perform a selection on the baseline data, laboratory tests, and neuroimaging data generated by HR-VWI scans collected from the training set. Finally, five machine learning techniques, including logistic regression model (LR), support vector machine (SVM), Gaussian naive Bayes (GNB), Complement naive Bayes (CNB), and k-nearest neighbors algorithm (kNN), were employed to develop a predictive model for stroke recurrence. Shapley Additive Explanation (SHAP) was used to provide visualization and interpretation for each patient. The model's effectiveness was evaluated using average accuracy, sensitivity, specificity, precision, f1 score, PR curve, calibration curve, and decision curve analysis. LASSO analysis revealed that "history of hypertension," "homocysteine level," "NWI value," "stenosis rate," "intracranial hemorrhage," "positive remodeling," and "enhancement grade" were independent risk factors for stroke recurrence in SICAS patients. In 10-fold cross-validation, the area under the curve (AUC) ranged from 0.813 to 0.912 in ROC curve analysis. The area under the precision-recall curve (AUPRC) ranged from 0.655 to 0.833, with the Gaussian Naive Bayes (GNB) model exhibiting the best ability to predict stroke recurrence in SICAS. SHAP analysis provided interpretability for the machine learning model and revealed essential factors related to the risk of stroke recurrence in SICAS. A precise machine learning-based prediction model for stroke recurrence in SICAS has been established to assist clinical practitioners in making clinical decisions and implementing personalized treatment measures.

An Efficient Summarisation and Search Tool for Research Articles

Building an efficient summarization and search tool for research articles is a complex task that involves interdisciplinary expertise in NLP, database management, web development, and user experience design. With the rapid growth of the scientific content, manually reading and selecting important content of research articles became challenging. Thus, there is a need for a summarization tool to help scholars reading their content fast along with a search tool that will find important contents and keep them in organized way. To summarize the contents of different articles a summarization tool is proposed in this work that generates extractive and abstractive summaries. Along with summarization a search engine also been proposed in this work that save the searched results in a comma-separated value (CSV) format including the search queries and meta information of articles such as keyword, title, author name, URL, year of publication, abstracts and summaries. These CSVs help users to get idea about article contents in offline mode without reading or searching the whole text. The efficiency of the summarizer tool is evaluated in terms of precision(pr), recall(re) and F-measure(F-m) of Rouge-1(R1), Rouge-2(R2), Rouge_sum(R_sum) and Bertscore(BS) measures for ten research articles. The average pr, re and F-m obtained from BS are 42%, 42% and 42% for extractive summarization and 41%, 41% and 41% for abstractive summarization. This tool will be helpful to research scholars in the collection of literature and the preparation of related work for their research.

Incidence, clinical characteristics, electrophysiological characteristics and outcomes of patients with baseline PR prolongation undergoing radiofrequency ablation for Atrioventricular nodal reentrant tachycardia

Aims and objectivesAtrioventricular nodal reentrant tachycardia (AVNRT) is the most common supraventricular tachycardia (SVT). Prolonged PR interval(>200 ms) on baseline electrocardiogram (ECG) is uncommon in such patients. The aim of the current study was to evaluate the incidence, clinical, electrophysiological characteristics, and outcomes of patients with baseline prolongation of PR interval undergoing radio-frequency ablation (RFA) for AVNRT. MethodsOver 10 years, out of the total number of 1435 patients with diagnosed AVNRT, 16 patients had prolonged PR intervals at baseline. All underwent elective RFA. A retrospective analysis of clinical, and electrophysiological characteristics and outcomes was done. The PR interval and atria-ventricular block cycle length values were compared with those patients with a normal interval at baseline and had undergone a successful slow pathway modification for AVNRT. ResultsOut of 1435 patients with AVNRT, 16 (0.9 %) patients had baseline PR prolongation on ECG. The mean(+SD) age of the study population was 62.9 + 15.9 years. 10 (62.5 %) were males. The average PR interval was 264.2 + 24.1 ms. Slow fast AVNRT was seen in all. The anatomical site of success for ablation was the lower part of Koch's triangle in all patients. During ablation, a good sustained junctional rhythm was noted in all, with no AV (Atrioventricular) block or PR prolongation noted during ablation in any of the patients. PR interval decreased by more than 20 ms in 10 (62.5 %) patients. AVBCL (AV node block cycle length) increased on an average of 58.7 ms post-ablation. Only one patient developed AV block on follow-up. ConclusionA prolonged PR interval on baseline ECG is uncommon in patients with AVNRT. In these patients, slow pathway modification can be done safely and effectively. AVBCL (AV node block cycle length) increases immediately post-ablation. The risk of AV block though low persists on follow-up.

Injuries in male youth football: a one season prospective cohort study of 223 Danish elite players.

This study prospectively investigated injury prevalence, incidence, and burden in male elite under-17 football players (N = 223) during a full season. The players weekly completed a standardized web-based injury survey (OSTRC-H2) and a physical exposure report throughout the study. Average weekly response rate was 89.5%. Football exposure accounted for 52.4% of total physical exposure. On average (±SD), the players participated in individual football, strength, and rehabilitation practices for 1.2 ± 1.5, 3.0 ± .2.1, and 1.9 ± 3.4 h/week, respectively. In total, 742 health problems were reported. Mean weekly prevalence of health problems, injuries and illnesses were 20.1%, 16.5% and 3.8%, respectively. The injury incidence per 1,000 h of football exposure, match play and team practice were 8.28 (95% CI: 7.54-9.08), 16.77 (95% CI: 13.65-20.4), and 7.24 (95% CI: 6.5-8.04), respectively. Sudden-onset and gradual-onset injuries accounted for 36.7% and 43.4% of the total proportion of health problems. Hip/groin injuries had the highest incidence (1.58/1,000 h), whereas knee injuries had the highest burden (20.86 days lost/1,000 h). On average, the players experienced 3.33 health problems (average duration: 7.8 days). On average pr. player, 2.7 (95% CI: 2.2-3.3) wks of football exposure were lost. Sudden and gradual-onset injuries influenced player availability during the season. Health problem prevalence fluctuated markedly, and injury incidence was higher during match play than training. The players had substantial volumes of training beyond football-specific training and matches. Our findings could assist medical and sports science practitioneers in enhancing training and recovery processes to maximize player availability.

Sintering Temperature Effect on Phase Formation, Microstructure and Electrical Properties of Modified KNLNTS Solid Solution Prepared via the Solid-State Combustion Technique

In this study, the effect of sintering temperature (1000–1100 °C for 2 h) on phase formation, phase transition, microstructure and electrical properties of lead-free piezoelectric (K0.44Na0.52Li0.04)(Nb0.84Ta0.10Sb0.06)O3 (KNLNTS) solid solution with 0.3 wt%Bi2O3 + 0.4 wt%Fe2O3 + 0.2 wt%CuO additive (abbreviate as modified KNLNTS) was investigated. Modified KNLNTS ceramics were synthesized by the solid-state combustion technique using glycine as fuel. The modified KNLNTS powders were prepared using the calcination condition of 650 °C for 2 h. The XRD pattern of all sintered ceramics exhibited a pure perovskite phase. Using Rietveld refinement to analyze the phase formation showed that the modified KNLNTS ceramics had co-existing phases of orthorhombic and tetragonal in all sintered ceramics and the orthorhombic phase increased when the sintering temperature increased. The average grain size, TO-T, Tc, Pr and Ec increased with increasing sintering temperature. At the sintering temperature of 1025 °C, the modified KNLNTS ceramic showed the best electrical properties (Cε ≈ 6745, Smax ≈0.274% and d*33 ≈ 548 pm/V). The good electrical properties of the modified KNLNTS ceramics makes them good candidates for lead-free applications to replace Pb-based ceramics.

Progesterone and Estrogen Receptors in Meningiomas – A Clinicopathological Analysis

Background – Meningiomas are common tumors of the Central Nervous System. Recurrence in meningiomas has been proven to be associated with factors like extent of resection and grade of tumor. Decrease in progesterone receptor expression has been linked to increased rate of recurrence. We undertook this study to know about progesterone and estrogen receptor expression in meningiomas and its association with different clinicopathological variables as data is lacking in the Indian population.
 Materials and Methods – Meningiomas operated in a tertiary referral centre of North Kerala, India in 2 years were taken into the study. The tumors were graded and immunohistochemistry was performed using antibodies to Estrogen and progesterone receptors (ER&PR) and Ki-67. The expression of PR and ER was correlated with clinicopathologic variables. The patients were followed up for 2 years.
 Results – Grade I and grade II tumors constituted 85.3% and 14.7% respectively of the total number of meningioma cases. There were no grade III tumors in the series. The average PR positivity in grade I tumors (60.77%) was higher than in grade II tumors (46.88%). There was no gender related difference in PR staining. ER positivity was found only in a few cases.
 Conclusion – PR deterioration was associated with increased cell turnover. Meningiomas occurring in this study population are similar in clinicopathological parameters to those tumors occurring in other parts of the country but different in some aspects like grade from tumors occurring in other parts of the world. Strict follow up of a larger cohort of patients for a longer time period will be required to draw conclusions about prognosis in this population.

Prolonged PR interval and incidence of atrial fibrillation, heart failure admissions, and mortality in patients with implanted cardiac devices: A real-world survey

Prolongation of the PR interval has long been considered a benign condition, particularly in the setting of nonstructural heart disease. The purpose of this study was to investigate the effect of PR interval on various well-adjudicated cardiovascular outcomes using a large real-world population data of patients with implanted dual-chamber permanent pacemakers or implantable cardioverter-defibrillators. PR intervals were measured during remote transmissions in patients with implanted permanent pacemakers or implantable cardioverter-defibrillators. Study endpoints (time to the first occurrence of AF, heart failure hospitalization [HFH], or death) were obtained between January 2007 and June 2019 from the deidentified Optum de-identified Electronic Health Record dataset. A total of 25,752 patients (age 69.3 ± 13.9 years; 58% male) were evaluated. The average intrinsic PR interval was 185 ± 55 ms. In the subset of 16,730 patients with available long-term device diagnostic data, a total of 2555 (15.3%) individuals developed AF during 2.59 ± 2.18 years of follow-up. The incidence of AF was significantly higher (up to 30%) in patients with a longer PR interval (ie, PR interval ≥270 ms; P < .05). Time-to-event survival analysis and multivariable analysis showed that PR interval ≥190 ms was significantly associated with higher incidence of AF, HFH, or HFH or death when compared with shorter PR intervals (P< .05 for all 3 parameters). In a large real-world population of patients with implanted devices, PR interval prolongation was significantly associated with increased incidence of AF, HFH, or death.

Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201.

In order to achieve better performance, artificial intelligence is used in breast cancer diagnosis. In this study, we evaluated the efficacy of different fine-tuning strategies of deep transfer learning (DTL) based on the DenseNet201 model to differentiate malignant from benign lesions on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). We collected 4260 images of benign lesions and 4140 images of malignant lesions of the breast pertaining to pathologically confirmed cases. The benign and malignant groups was randomly divided into a training set and a testing set at a ratio of 9:1. A DTL model based on the DenseNet201 model was established, and the effectiveness of 4 fine-tuning strategies (S0: strategy 0, S1: strategy; S2: strategy; and S3: strategy) was compared. Additionally, DCE-MRI images of 48 breast lesions were selected to verify the robustness of the model. Ten images were obtained for each lesion. The classification was considered correct if more than 5 images were correctly classified. The metrics for model performance evaluation included accuracy (Ac) in the training and testing sets, precision (Pr), recall rate (Rc), f1 score (f1), and area under the receiver operating characteristic curve (AUROC) in the validation set. The Ac of the 4 fine-tuning strategies reached 100.00% in the training set. The S2 strategy exhibited good convergence in the testing set. The Ac of S2 was 98.01% in the testing set, which was higher than those of S0 (93.10%), S1 (90.45%), and S3 (93.90%). The average classification Pr, Rc, f1, and AUROC of S2 in the validation set were (89.00%, 80.00%, 0.81, and 0.79, respectively) higher than those of S0 (76.00%, 67.00%, 0.69, and 0.65, respectively), S1 (60.00%, 60.00%, 0.60, 0.66, and respectively), and S3 (77.00%, 73.00%, 0.74, 0.72, respectively). The degree of coincidence between S2 and the histopathological method for differentiating between benign and malignant breast lesions was high (κ = 0.749). The S2 strategy can improve the robustness of the DenseNet201 model in relatively small breast DCE-MRI datasets, and this is a reliable method to increase the Ac of discriminating benign from malignant breast lesions on DCE-MRI.

Group Vestibular Rehabilitation Program: A Cost-Effective Outpatient Management Option for Dizzy Patients.

This study was performed to evaluate the effectiveness of our novel group vestibular rehabilitation therapy (G-VRT) and to analyze the factors affecting outcomes. Retrospective case series. Tertiary referral center. Patients with chronic dizziness who received G-VRT between December 2019 and July 2020. The G-VRT program consisted of a 1-hour physical therapy session by an otologist in a small group setting. Dizziness Handicap Inventory, visual analog scale, functional level scales, and video head impulse test, as well as the compliance to the program, were evaluated. All scores of dizziness questionnaires were significantly improved after G-VRT ( p < 0.001). The overall vestibule-ocular reflex gain calculated by video head impulse test increased compared to the initial scores, whereas the average PR scores of all three semicircular canals significantly decreased from the initial scores, indicating enhanced vestibular compensation ( p < 0.05). Enrolled patients showed high compliance to the program. G-VRT program is a cost-effective and efficient way to provide relief for chronic dizzy patients. Further case-control studies in a larger group, as well as comparative studies with generic or customized vestibular exercise, will be needed to validate the clinical value of G-VRT.

Comparative Study on Determination of Selected Rare Earth Elements (REEs) in Ion Adsorption Clays Using Handheld LIBS and ICP-MS

The rare earth elements (REEs) are crucial components of green technology and are now considered critical raw materials. One of the emerging tools in mineral exploration, laser-induced breakdown spectroscopy (LIBS), was used by several studies to determine the REE contents of different geological materials. In this study, the concentrations of selected REEs (La, Ce, Pr, Nd, Sm, Gd, Dy, and Yb) in 11 ion adsorption clays (IACs) from El Nido, Palawan, Philippines were determined using a handheld LIBS analyzer. The REE contents of the samples were also determined using inductively coupled plasma mass spectrometry (ICP-MS) to compare LIBS with the established laboratory technique. The two-sided t-test shows no significant differences for the average La, Ce, Pr, Nd, Sm, and Gd results of LIBS and ICP-MS, whereas Dy and Yb have significant differences. Based on these results, it can be concluded that LIBS can be an alternative to ICP-MS for the rapid determination of some REE in IACs.

Void and solder joint detection for chip resistors based on X-ray images and deep neural networks

Chip resistors are the most common and most frequent components in all electronics. Voids are formed by outgassing during solder reflow. Excessive voids influence the electrical and thermal conductivity of the solder joint and hence reduce its reliability. Therefore, in this study, we propose a scheme combining Residual Multiscale Skip Connected Net (RMSC-Net) and Recurrent Convolutional Network (RU-Net) to accurately detect the voids and solder joints of the X-ray images of the chip resistor. We first develop an RMSC-Net for void segmentation of X-ray images. RMSC-Net combines residual with multiscale skip connections. Residual learning solves the problem of gradient dispersion by learning the difference between the target and input values. The proposed multiscale skip connection combines multiple high- and low-resolution feature maps to realize multilayer feature perception of voids. Then, we deploy RU-Net with recurrent convolution modules to apply the chip resistors' solder joint segmentation. Experimental results demonstrate that the overall performance of RMSC-Net and RU-Net is better than other methods in detecting voids and solder joints of three different types of chip resistors. RMSC-Net achieves average SE gains of 2.70 and 2.25 points over UNet++ and FedDG, respectively. The average PR of RU-Net is 0.34 and 0.61 points higher than that of UNet++ and FedDG, respectively.

Efficient automatic 3D segmentation of cell nuclei for high-content screening

BackgroundHigh-content screening (HCS) is a pre-clinical approach for the assessment of drug efficacy. On modern platforms, it involves fluorescent image capture using three-dimensional (3D) scanning microscopy. Segmentation of cell nuclei in 3D images is an essential prerequisite to quantify captured fluorescence in cells for screening. However, this segmentation is challenging due to variabilities in cell confluency, drug-induced alterations in cell morphology, and gradual degradation of fluorescence with the depth of scanning. Despite advances in algorithms for segmenting nuclei for HCS, robust 3D methods that are insensitive to these conditions are still lacking.ResultsWe have developed an algorithm which first generates a 3D nuclear mask in the original images. Next, an iterative 3D marker-controlled watershed segmentation is applied to downsized images to segment adjacent nuclei under the mask. In the last step, borders of segmented nuclei are adjusted in the original images based on local nucleus and background intensities. The method was developed using a set of 10 3D images. Extensive tests on a separate set of 27 3D images containing 2,367 nuclei demonstrated that our method, in comparison with 6 reference methods, achieved the highest precision (PR = 0.97), recall (RE = 0.88) and F1-score (F1 = 0.93) of nuclei detection. The Jaccard index (JI = 0.83), which reflects the accuracy of nuclei delineation, was similar to that yielded by all reference approaches. Our method was on average more than twice as fast as the reference method that produced the best results. Additional tests carried out on three stacked 3D images comprising heterogenous nuclei yielded average PR = 0.96, RE = 0.84, F1 = 0.89, and JI = 0.80.ConclusionsThe high-performance metrics yielded by the proposed approach suggest that it can be used to reliably delineate nuclei in 3D images of monolayered and stacked cells exposed to cytotoxic drugs.

Pentadecapeptide BPC 157 Counteracts Hemodynamic and ECG Disturbances Induced by Sotalol in Rats

Cytoprotective and organoprotective pentadecapeptide BPC 157 demonstrated particular beneficial cardiovascular effects (Curr Pharm Des. 2014;20(7):1121‐1125). Antiarrhythmic effects counteracted digoxin toxicity (Regul Pept. 2009;156(1‐3):83‐89), major blood vessel occlusions (Biomedicines 2021, 9,1029; 2021, 9,609; 2021, 9, 792) and lidocaine toxicity (Emerg Med Int. 2020;2020:6805354). Now, we reveal, by BPC 157, mitigation of hemodynamic and ECG disturbances of sotalol, a class III antiarrhythmic with non‐selective beta‐blocking activity.Albino Wistar rats received sotalol (80mg/kg, intragastrically), and at 5 min thereafter were treated with saline or BPC 157 (10ng/kg, intragastrically. Seven standard and one precordial ECG leads were recorded (baseline; after application of sotalol; and 10, 30, 90, 120 and 150 minutes after application of sotalol). Heart rate, QRS complex, PR and QT intervals were analyzed. Corrected QT intervals (QTc) were calculated according to Fridericia formula.Baseline ECG readings included average heart rate of 275.5 ± 25 bpm, average PR 54.8 ± 3.4 ms, average QRS complex 25.0 ± 4.23 ms and average QTc 166 ± 9.7 ms. Sotalol caused bradycardia (245 ± 23.5 bpm), PR prolongation (57.3 ± 2.7 ms), QRS widening (26.3 ± 3.2 ms), and QTc prolongation (173 ± 9.1 ms), measured 10 minutes after application. In BPC 157 treated animals (5 minutes after BPC‐157 application, 10 minutes after sotalol application), these effects were attenuated (heart rate 306 ± 31.7 bpm, average PR 52.3 ± 1.6 ms, average QRS 23.7 ± 5.4 ms and average QTc 159 ± 21.2 ms). This attenuation was lost in later measurements, for QRS ‐ 25 minutes after BPC 157 application, for frequency after 55 minutes, for PR after 115 minutes and for QTc after 145 minutes. In animals treated with sotalol, an increase in superior sagittal sinus pressure (10 ± 5 mmHg), as well as an increase in portal vein (17 ± 4 mmHg) and inferior caval vein pressures (12 ± 6 mmHg) were noted, along with the decrease in abdominal aortic pressure (53 ± 10 mmHg). These effects were attenuated in BPC treated animals (‐1 ± 1 mmHg for superior sagittal sinus, 7 ± 1 mmHg in portal vein, 5 ± 1 mmHg in inferior caval vein, and 81 ± 7 mmHg in abdominal aorta).In conclusion, BPC 157 attenuated deleterious hemodynamic effects of sotalol while the effects on the ECG parameters were also noted, although not long lasting, supporting the view of BPC‐157 as a rapid‐acting protective agent.

Out-door reliability and degradation of HIT, CIGS, n-type multi-busbar, PERC, and CdTe modules in Shanghai, China

As the installation of PV power grid increases, it becomes vital to know the out-door reliability and degradation of the modules. In this study, more than 30 kW modules have been installed in Chinese Academy of Sciences-Shanghai Institute of Microsystem & Information Technology (SIMIT). The outdoor performance of seven different PV modules, i. e. HIT, CIGS, n-type multi-busbar module, PERC, and CdTe were measured from 2016 to 2018. The performance of all of the seven kinds of PV modules is excellent in March, April and May of 2018, owing to the relative low temperature and the intense irradiance. The daily and monthly PR of the PV modules displays distinct seasonal cyclic patterns. The PR calibrated to 25 °C (PRT = 25°C) is more consistent than the uncalibrated PR throughout the whole year. The comparison of the annual average uncalibrated PR is: bifacial HIT (1.0345)＞CIGS (1.0258)＞n-type multi-busbar module (0.9656)＞monofacial HIT (0.9648)＞sc-Si PERC (0.9591)＞mc-Si PERC (0.9346)＞CdTe (0.9067). Moreover, the power degradation after the installation more than 2 years is: mc-Si PERC (5.33%)＞n-type multi-busbar module (3.19%)＞sc-Si PERC (1.32%)＞monofacial HIT (0.25%). The property improvement of monofacial HIT and bifacial HIT after the light soaking was observed and the power increase of bifacial HIT is 0.72% in these two years, owing to the metastability of the amorphous—crystalline silicon heterointerface after the light soaking.

Analytical assessment of Ain Skhouna PV plant performance connected to the grid under a semi-arid climate in Algeria

Algeria currently has a number of 24 functional photovoltaic power plants on its national territory, which are poorly investigated. This study focuses on the performance analysis of one of these existing solar power plants. It is located in Ain Skhouna, situated in Saida province, and has a capacity of 30 MWp (polycrystalline solar cell technology). This study was carried out according to the standardized norms IEC 61,724 (IEC) using one year (2018) of data. A linear relationship between the monthly module and ambient temperatures was evaluated (R2 = 0.994). The monthly total loss increases linearly with the increase in monthly ambient temperature and solar irradiation (R2 = 0.98). The system efficiency, PV efficiency, and performance ratio are affected by ambient temperature. The average monthly PV, system, inverter efficiencies, and PR were 13.78%, 13.29%, 96.68%, and 85.52, respectively. These results indicate that this PV power plant remains in very good working condition after two years of service.The effect of climate on PV plant performance was investigated in Algeria by comparing two climates: a semi-arid and a hyper-arid. The results indicate that the semi-arid climate is more favorable than the desert climate for PV power plants for producing electricity and that ambient temperature is a more essential parameter than solar irradiation.

Abstract 12381: Clinical Implications of SCN5A and SCN10A Loss of Function Variants in 169,610 Exomes Representing the General Population

Background: Genetic variation in the genes SCN5A and SCN10A has previously been associated with cardiac disease and conduction velocity through genome-wide association studies (GWAS) and rare variant analyses. The two neighboring genes constitute the much-investigated SCN5A-SCN10A locus, and it has been challenging to determine the region’s function as GWAS often identifies variants in non-coding regions. The cardiac function of SCN5A is well established whereas the role of SCN10A in cardiac conduction and disease remains disputed. The study focuses on SCN10A while SCN5A was included for comparative analyses. Methods and Results: We accessed the UK Biobank database, which contains data on &gt;500,000 individuals. The recent exome release provides whole-exome sequencing data on 169,610 unrelated European individuals while resting ECGs are available on 44,987 individuals. We identified 668 individuals harboring LOF-variants (leading to early stop codon, frameshift or splice site disruption) in SCN10A and SCN5A with a MAF &lt;1%. Among the 668 individuals, 543 individuals carried SCN10A variants, whereas 125 individuals held a variant in SCN5A . There were 88 and 37 different variants in SCN10A and SCN5A , respectively. From these individuals, we obtained 69 ECGs in sinus rhythm and 55 of these were recorded on individuals with a SCN10A LOF-variant and 14 ECGs were recorded on individuals with a SCN5A LOF-variant. Linear regression analyses established an association between SCN5A LOF-variants and prolongation of the PR-interval as carrying a variant corresponds to an average PR prolongation of 25.1 milliseconds (P = 0.001). There were no statistically significant alterations among other ECG parameters. Furthermore, we could not determine correlations of ECG parameters for SCN10A LOF-variants. A burden test on SCN10A and SCN5A LOF-variants could not establish a relationship with atrial fibrillation (P = 0.26 and P = 0.41, respectively) and heart failure (P = 0.92 and P = 0.17, respectively). Remaining possible disease associations could not be properly established due to low number of cases. Conclusion: These findings confirm the significance of SCN5A in cardiac conduction while questioning the function of SCN10A in human cardiac conduction and disease.

Impact of Soiling on Energy Yield of Solar PV Power Plant and Developing Soiling Correction Factor for Solar PV Power Forecasting

Across the world, the geographical conditions are varied, and the characteristics of dust depend on the local environmental conditions. The solar power generators must incorporate the soiling losses in their estimation for power output and therefore a methodology was developed to estimate the soiling correction factor. After extensive research, a comprehensive review was presented on the effect of soiling on performance of PV plants along with case studies of soiling experiments around the world. A soiling experiment was designed to develop the soiling correction factor. A methodology to calculate the soiling correction factor, which can be implemented in any location, was developed by analyzing the data from the soiling experiment. The effect of rainfall, humidity and wind on soiling was analyzed and documented. The performance of one 20 kWp PV plant was monitored to study the effect of weather-related parameters on the performance. The soiling correction factor varied from -1.36% to 3.67% during the period between June 2018 and June 2019 in Chennai. It was observed that the average PV conversion efficiency of the 20-kW plant was 11.75% and the average PR was 75%. It was observed that the correlation between module temperature and DC power; between humidity and DC power; between GTI and DC power varied every month. The soiling factor developed could be incorporated into the short-term day ahead solar forecasting model. The developed methodology could be applied at the any large-scale solar power plant around the world for yield assessment, designing as well as operational forecasting purposes.

Penilaian Kesehatan Bank (Studi Pada PT. Bank Muamalat Indonesia, Tbk. Tahun 2016- 2019)

This study aims to determine the financial health of PT. Bank Muamalat Indonesia, Tbk from four aspects in RGEC which is Risk Profile, Good Corporate Governance, Earnings, and Capital. This research is a descriptive study with a quantitative approach. The main data of this study comes from the Annual Report of PT. Bank Muamalat Indonesia, Tbk. from 2016 to 2019, the so-called secondary data were analyzed using the RGEC method. The results showed that in the period 2016-2019, the risk profile aspect of PT. Bank Muamalat Indonesia with the NPF and FDR Indicator on average is in a healthy financial condition, but the CR indicator showed unhealthy financial conditions. The GCG aspect using self-assessment showed a fairly healthy financial condition, the earnings aspect. with NOM, ROA and average ROE showed unhealthy financial conditions, as well as the capital aspect with average CAR and PR ratios is in very healthy financial conditions.

Abstract PS6-18: Are we missing something? Ki-67 evaluation is important in African American women with an oncotype DX score&amp;lt; 26: A multi-institutional study

Abstract INTRODUCTION: The literature suggests that there is no difference in the Oncotype DX® (ODX) recurrence score between African American (AA) women and Caucasian (CA) women; however, an analysis of clinical outcomes in participants enrolled in the TAILORx trial found that AA women had worse clinical outcomes than CA women, despite similar ODX recurrence scores. The TAILORx trial suggested that chemoendocrine therapy may not be necessary in women with hormone-positive, HER2-negative, node-negative invasive breast carcinomas with an ODX recurrence score &amp;lt; 26. We examine Ki-67 (a marker of tumor proliferation) in relation to an ODX recurrence score of 26 in AA and CA women from two seperate institutions. METHODS: A total of 851 consecutive cases of AA (n = 78) and CA women (n = 773) with ER+ invasive breast cancer and available ODX recurrence scores from the University of Rochester and the University of Louisville were included in this study. For all results, a p-value of &amp;lt; 0.05 was considered significant. RESULTS: Consistent with the previous literatuere, there was no significant difference between the average ODX recurrence score of AA and CA women (p = 0.44, Table 1), and we found no significant difference in average ER, PR, Nottingham score, or tumor size between AA and CA patients; however, the Ki-67 was significantly higher in AA patients with an ODX recurrence score &amp;lt; 26 compared to CA patients with and ODX recurrence score &amp;lt; 26 (p = 0.002, Table 2). This significant difference in Ki-67 was not evident with an ODX recurrence score ≥ 26 (p = 0.98, Table 2). CONCLUSIONS: Our preliminary results suggest that compared to CA women, AA patients are more likely to have a higher Ki-67 if the ODX recurrence score is &amp;lt; 26. AA breast cancer patients with an ODX &amp;lt; 26 are at increased risk for recurrence compared to CA women with an ODX &amp;lt; 26. Ki-67 evaluation is not routinely done as part of the breast cancer workup in many institutions. Ki-67 evaluation may be helpful to help guide treatments decisions in AA patients with and ODX &amp;lt; 26. Additional investigation is warranted. Table 1: Oncotype DX and histopathologic variables for African American and Caucasian womenODXRS* (mean)ER** (mean)PR** (mean)NS***(mean)Ki-67 (mean)****Tumor size (mean)ODXRS &amp;lt; 26 (n) ODXRS ≥ 26 (n)ALL17.6255.3168.96.016.42.2713138AA18.3250.7175.96.321.42.26315CA17.5255.8168.26.015.92.2650123*Oncotype DX recurrence score** modified H-score*** Nottingham score****n = KI-67 available for 777 total patients (650 with ODXRS &amp;lt; 26 and 127 with ODXRS ≥ 26); KI-67 available for 71 AA patients (51 with ODXRS &amp;lt; 26 and 14 with ODXRS ≥ 26); KI-67 available for 706 CA patients (593 with ODXRS &amp;lt; 26 and 113 with ODXRS ≥ 26) Table 2: Oncotype DX &amp;lt; 26 and ≥ 26 and associated histopathologic variables for African American and Caucasian womenODXRS* (mean)ER** (mean)PR** (mean)NS*** (mean)Ki-67 (mean)****Tumor size (mean)ODXRS &amp;lt; 2614.5260.5189.15.813.72.2AA15.4262.8200.76.019.22.3CA14.4260.3188.05.813.12.2ODX ≥ 2633.8228.464.47.330.52.1AA30.3199.871.97.730.41.6CA34.2231.963.57.330.52.2*Oncotype DX recurrence score** modified H-score*** Nottingham score****n = KI-67 available for 777 total patients (650 with ODXRS &amp;lt; 26 and 127 with ODXRS ≥ 26); KI-67 available for 71 AA patients (51 with ODXRS &amp;lt; 26 and 14 with ODXRS ≥ 26); KI-67 available for 706 CA patients (593 with ODXRS &amp;lt; 26 and 113 with ODXRS ≥ 26) Citation Format: Bradley M Turner, Mary Ann Gimenez-Sanders, Huina Zhang, Ioana Moisini, Xi Wang, Linda Schiffhauer, Hani Katerji, Kristin Skinner, Jessica Gooch, Michelle Shayne, Marilyn Ling, Carla Falkson, David Hicks. Are we missing something? Ki-67 evaluation is important in African American women with an oncotype DX score&amp;lt; 26: A multi-institutional study [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS6-18.

Design and simulation of standalone solar PV system using PVsyst Software: A case study

Solar energy is quick creating source of energy in all over the world. The total installed solar power in India till 30th April 2020 is 34811.78 MW. This paper presents the study of load requirement in mechanical department office in engineering college Bikaner and accordingly, designing and installation of stand-alone solar PV System. Analysis of performance ratio and losses has also been done using PVsyst simulation software. The average annual energy requirement in the department of mechanical engineering office is 1086.24 kWh and the energy available through solar panel is 1143.6 KWh, whereas energy supplied to the user is 1068.12 kWh a little less than the required load. The reduced power capacity of the system is because of different kinds of losses. The performance ratio analysis reveals that the highest PR was recordedin themonth of December is 86% and lowest PR,64% was obtained in the month of April, whereas the average PR for year is 72.8%. The reduced power capacity of the system is because of different kinds of losses.