Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent Developments of Circulating Tumor Cell Analysis for Monitoring Cutaneous Melanoma Patients

Simple Summary Circulating tumor cells (CTCs) originating from cutaneous melanoma patients have been studied for several decades as surrogates for real-time clinical status and disease outcomes. Here, we will review clinical studies from the last 15 years that assessed CTCs and disease outcomes for melanoma patients. Assessment of multiple molecular melanoma-associated antigen (MAA) markers by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was the most common assay allowing for the improvement of assay sensitivity, to address tumor heterogeneity, and to predict patient outcomes. Multicenter studies demonstrate the utility of CTC assays reducing the bias observed in single-center trials. Recent development of CTC enrichment platforms has provided reproducible methods. CTC assessment enables both multiple mRNAs and DNAs genomic profiling. CTC provides specific important translational information on tumor progression, prediction of treatment response, and survival outcomes for cutaneous melanoma patients. Abstract Circulating tumor cells (CTCs) have been studied using multiple technical approaches for interrogating various cancers, as they allow for the real-time assessment of tumor progression, disease recurrence, treatment response, and tumor molecular profiling without the need for a tumor tissue biopsy. Here, we will review studies from the last 15 years on the assessment of CTCs in cutaneous melanoma patients in relation to different clinical outcomes. The focus will be on CTC detection in blood samples obtained from cutaneous melanoma patients of different clinical stages and treatments utilizing multiple platforms. Assessment of multiple molecular melanoma-associated antigen (MAA) markers by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was the most common assay allowing for the improvement of assay sensitivity, tumor heterogeneity, and to predict patient outcomes. Multicenter studies demonstrate the utility of CTC assays reducing the bias observed in single- center trials. The recent development of CTC enrichment platforms has provided reproducible methods. CTC assessment enables both multiple mRNAs and DNAs genomic aberration profiling. CTC provides specific important translational information on tumor progression, prediction of treatment response, and survival outcomes for cutaneous melanoma patients. The molecular studies on melanoma CTCs have provided and may set standards for other solid tumor CTC analyses.
Optimization of process parameters of medium carbon steel joints joined by MIG welding using Taguchi method

In this study, related to getting better obtain to the mechanical properties of medium carbon steel joints joined by MIG welding method using the Taguchi method welding groove were optimized. Grove angle (60o, 75o and 90o), current (100 A, 110 A and 120 A) and voltage (25 V, 30 V and 35 V) were used as welding parameters. The results showed that the highest tensile strength as 597.963 MPa was obtained at groove angle 90o, current 120 A and voltage 30 V, the lowest tensile strength was obtained as 395.125 MPa. The highest elongation as 11.551% was obtained at groove angle 90o, current 120 A and voltage 30 V, the lowest elongation was obtained as 8.354%. In addition, it was observed that the changes in current and voltage values significantly affect the tensile strength and elongation values of the joints. According to ANOVA analyses, the most effective parameter on average tensile strength and elongation were determined to be groove angle (62.75% and 75.58%, respectively). Based on S/N ratios, the optimal parameters for average tensile strength and elongation were determined A3B3C2 factors.
Students' First-Aid Ability in Earthquake Disasters Significantly Improved Through an Online Role-Playing Method

Background: The earthquake brought about unprecedented societal changes, particularly among schoolchildren. Thus, in the educational setting, a lack of disaster readiness is caused by a lack of knowledge of hazards, which leads to a lack of preparedness in the event of a disaster. This study aims to see how the role-playing method in the network affects adolescent red cross students' abilities to provide first aid in an earthquake emergency. Methods: The research design used a pre-experimental design with a one-group pre-test post-test design approach to 20 PMR student respondents utilizing the Total Sampling technique, with the intervention of delivering earthquake first aid education, given twice for one week for a total of 60 minutes. An observation sheet was employed as the data-gathering equipment. The data was analyzed. T-Test with paired samples. Results: The results revealed that all respondents with a percentage (100.0 percent) had a 50 percent ability score in the pre-test and practically all of them with a percentage (90.0 percent) had a score of 75 percent-100 percent in the post-test. The mean pre-test = 8.70% and the mean post-test = 27.30% in obtaining value 0,000 = 0.05, indicating that there is an Effect of Method Role Playing In First Aid Network Capability Against Earthquake In PMR students in SMPN 1 Kalidawir Tulungagung. Conclusion: The network's role-playing strategy has an impact on motivation, and motivation is vital in the effectiveness of disaster awareness learning so that the community is more prepared and resilient in the event of a disaster.
Oral Health-Related Quality of Life Changes in Patients with Dentofacial Deformities Class II and III after Orthognathic Surgery: A Systematic Review and Meta-Analysis

Our aim was to assess the impact of combined orthodontic–surgical treatment on patients’ oral health-related quality of life (OHRQoL) according to type of dentofacial deformities, by synthesizing the available evidence. Methods: Search was conducted in the PubMed, Embase/MEDLINE, Scopus, and Cochrane databases. The eligibility criteria were studies that measured OHRQoL before–after orthognathic surgery, with results disaggregated by Class II and III. Two researchers independently performed the selection process, data extraction, and methodological quality assessment. Meta-analysis of the standard mean differences (SMD) was performed using random effect models. Results: The search identified 1047 references. Thirteen studies met the inclusion criteria, and four were included in the meta-analysis. The SMD of OHRQL global score showed large improvement 4–7 months after surgery in Class II and III patients (2.09, 95% CI 0.68 to 3.49 and 1.96, 95% CI 1.22 to 2.70, respectively). The sensitivity analyses, excluding studies with weak methodological quality, showed that Class III patients’ improvement in functional limitation was significantly higher than in Class II patients (SMD 0.57, 95% CI 0.12–1.02). Conclusions: There is not enough evidence to support differences between Class II and III patients in the OHRQoL impact after orthognathic surgery, but findings suggest lower improvement of some domains in Class II patients.
Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins

A suitable framework for the development of artificial neural networks is important because it decides the level of accuracy, which can be reached for a certain dataset and increases the certainty about the reached classification results. In this paper, we conduct a comparative study for the performance of four frameworks, Keras with TensorFlow, Pytorch, TensorFlow, and Cognitive Toolkit (CNTK), for the elaboration of neural networks. The number of neurons in the hidden layer of the neural networks is varied from 8 to 64 to understand its effect on the performance metrics of the frameworks. A test dataset is synthesized using an analytical model and real measured impedance spectra by an eddy current sensor coil on EUR 2 and TRY 1 coins. The dataset has been extended by using a novel method based on interpolation technique to create datasets with different difficulty levels to replicate the scenario with a good imitation of EUR 2 coins and to investigate the limit of the prediction accuracy. It was observed that the compared frameworks have high accuracy performance for a lower level of difficulty in the dataset. As the difficulty in the dataset is raised, there was a drop in the accuracy of CNTK and Keras with TensorFlow depending upon the number of neurons in the hidden layers. It was observed that CNTK has the overall worst accuracy performance with an increase in the difficulty level of the datasets. Therefore, the major comparison was confined to Pytorch and TensorFlow. It was observed for Pytorch and TensorFlow with 32 and 64 neurons in hidden layers that there is a minor drop in the accuracy with an increase in the difficulty level of the dataset and was above 90% until both the coins were 80% closer to each other in terms of electrical and magnetic properties. However, Pytorch with 32 neurons in the hidden layer has a reduction in model size by 70% and 16.3% and predicts the class, 73.6% and 15.6% faster in comparison to TensorFlow and Pytorch with 64 neurons.
Reconstructions of effective parameters for a metamaterial antenna via 3D-printed components

This study presents the reconstruction of effective medium parameters for a double negative metamaterial slab from the knowledge of the measured/simulated S-matrix. The structure initially has been designed to embed into a patch antenna for a radar application. To observe the medium characteristics, we locate the slab in a rectangular waveguide for various orientations. The waveguide-based retrieval method is applied to find parameters regarding the biaxial anisotropic medium. Fundamental mode is used for the excitation. Additive printing technology is employed to manufacture a rectangular waveguide and its adapters for the experiments. The metallization is achieved by coating the printed structures with conductive thin layers. Experimental setups for each orientation are simulated as well. We illustrate good agreements between simulation and measurements under the fabrication tolerances. The feasibility and applicability of the additive printing technology for the investigations of the metamaterial anisotropic/bianisotropic nature is reported.
COVID-19 Patients’ Satisfaction Levels with Nursing Care: A Cross-Sectional Study

Introduction COVID-19 is the most recent coronavirus diseases that was first identified in December 2019 and began its exponential spread globally. The critical role of nurses can be severely impacted during pandemics such as COVID-19 when the world is less prepared. Objective To investigate and measure COVID-19 patients’ satisfaction levels with the quality of nursing care provided in the Riyadh Province of Saudi Arabia. Methods The study used a cross-sectional questionnaire to collect data from COVID-19 patients who were hospitalized or quarantined for at least 48 h or more. The study utilized the Arabic version of the Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ-Ar) to assess patients’ satisfaction levels with nursing care. Descriptive statistics, Mann-Whitney U, and Kruskal-Wallis tests were performed to examine the objectives of the study. Results Ninety-six patients reported relatively high satisfaction levels with the overall nursing care. Patients also reported high satisfaction levels with the provided care, and the information that was provided. There were statistically significant differences in the mean score of patients satisfaction in relation to age, educational level, where patients are originally from, and patients recommendation of the hospitals. Conclusions Individual characteristics and attributes played a role in the process of evaluating nursing care services. Measuring nursing care quality clarified the significant role of nurses during the COVID-19 pandemic. This study provides valuable information that could help in identifying weaknesses and reinforcing strengths about nursing care to be fully prepared against pandemics and other health-related crises and emergencies in the future.
Socioeconomic status influences Turkish digital natives’ internet use habitus

ABSTRACT ‘: Digital native’ has been a buzzword within the last decade particularly in educational research. Learners born after the 1980s are presumed somehow different just because they were born in a digital world. Although scholars have labelled these young generations as digital natives or millennials as a homogenous construct, the questions of how and for what purpose(s) these younger generations use these newer technologies remain unresolved. Acknowledging the abundance of literature documenting adults’ viewing their younger ones different throughout history, this study investigates the relationship between socioeconomic level variables, paternal and maternal education level, household income, and their internet use frequency and purposes. Data were gathered from 327 undergraduate students, born between 1997 and 2000, enrolled at a Turkey state university. Findings indicate that maternal and paternal education levels significantly influence the internet use duration of the younger generation, yet observe no significant effect on household income. The results also reveal significant differences in participants’ internet use for academic and a variety of non-academic purposes concerning socioeconomic status variables. Overall, simply being born into a technological world does not make the younger generation a monolithic group of tech-savvy individuals as their adults assume them to be.
Density‐dependent patterns of multivariate selection on sperm motility and morphology in a broadcast spawning mussel

Abstract Sperm cells exhibit extraordinary phenotypic variation, both among taxa and within individual species, yet our understanding of the adaptive value of sperm trait variation across multiple contexts is incomplete. For species without the opportunity to choose mating partners, such as sessile broadcast spawning invertebrates, fertilization depends on gamete interactions, which in turn can be strongly influenced by local environmental conditions that alter the concentration of sperm and eggs. However, the way in which such environmental factors impact phenotypic selection on functional gamete traits remains unclear in most systems. Here, we analyze patterns of linear and nonlinear multivariate selection under experimentally altered local sperm densities (densities within the capture zone of eggs) on a range of functionally important sperm traits in the broadcast spawning marine mussel, Mytilus galloprovincialis. Specifically, we assay components of sperm motility and morphology across two fertilization environments that simulate either sperm limitation (when there are too few sperm to fertilize all available eggs), or sperm saturation (when there are many more sperm than required for fertilization, and the risk of polyspermy and embryonic failure is heightened). Our findings reveal that the strength, form, and targets of selection on sperm depend on the prevailing fertilization environment. In particular, our analyses revealed multiple significant axes of nonlinear selection on sperm motility traits under sperm limitation, but only significant negative directional selection on flagellum length under sperm saturation. These findings highlight the importance of local sperm densities in driving the adaptation of sperm phenotypes, particularly those related to sperm motility, in broadcast spawning invertebrates.
The Role of Clouds in Shaping Tropical Pacific Response Pattern to Extratropical Thermal Forcing

Extratropical influences on tropical sea surface temperature (SST) have implications for decadal predictability. We implement a cloud‐locking technique to highlight the critical role of clouds in shaping the tropical SST response to extratropical thermal forcing. With heating imposed over either the extratropical Northern Atlantic or Pacific, Hadley Cells respond similarly that the trades strengthen south of the rainband. The wind‐evaporation‐SST (WES) feedback leads to cooling over the southern subtropics, which is enhanced in the southeastern Pacific due to the positive feedback between SST and stratiform clouds. Cloud‐locking experiments show that zonal contrasts in SST and cloud feedbacks in the Pacific enhance the zonal surface winds, leading to increased evaporation and strengthens zonal SST difference. We propose that the meridional and zonal SST gradients are tightly linked via WES effects and the cloud‐radiative‐SST feedbacks, which are largely determined by the climatological rainband position and the spatial distribution of cloud properties.
Angiodysplasia and its correlation to serum magnesium level in patients with chronic kidney disease stage 5D under maintenance hemodialysis

Background Angiodysplasias (ADs) are vascular ectasias not associated with any familial syndrome, cutaneous lesions, or systemic vascular disease. They are the most common vascular malformations of the gastrointestinal tract in the general population with a prevalence of 0.82%. Most AD occurring in the general population are detected in patients older than 60 years of age, although presentation in patients with chronic kidney disease (CKD) can be earlier. The aim was to correlate AD with serum magnesium level in patients with CKD stage 5D under maintenance hemodialysis. Patients and methods This study included 60 patients with CKD stage 5D on maintenance hemodialysis. Upper and lower gastrointestinal tract endoscopy was done for all patients in Kafr Elsheikh University Hospital in a cross-sectional ‘prospective study,’ and all laboratory investigations were done. Results The mean age of patients with CKD was 49.03±14.66 years. There was a statistically significant increase in Mg among patients with AD and those without AD. This study showed that there were statistically significant negative correlations between Mg and parathyroid hormone. Conclusion AD is one of the common causes of gastrointestinal bleeding in all population and is the most common cause of bleeding in patients with CKD. Hypermagnesemia is associated with AD in patients with CKD.
Advanced methods for validating combustion instability predictions using pressure measurements

Huang, Yu MSAA, Purdue University, December 2015. Advanced Methods For Validating Combustion Instability predictions Using Pressure Measurements. Major Professor: William E. Anderson. The utility of high fidelity (HF) pressure measurements from Continuous Variable Resonance Combustor (CVRC) is explored in trying to find better ways to validate in-house developed simulation models with experiment results; as well as developing predictive method using pressure time series for instability onset. Phase averaged wave travelling speed calculation from concurrent simulation and experiment case show comparable results, however to use an averaged quantity in turbulence driven combustion instability environment, cycle to cycle variations are averaged out and many details of combustion instability are lost. A Cross-correlation method is applied to CVRC HF experimental pressure data. Analysis of the data indicated very high pressure signal correlation between different chamber location during combustion instability, confirming the concept of a travelling wave inside of an acoustically closed combustion chamber. Phase angle shifts during CVRC translating oxidizer post length (LOP) tests show interesting combustion behaviour change (shifting of combustion heat release location), indicating the potential of HF pressure measurements in studying detailed behaviour during combustion instability. Cross-correlation analysis is also applied to selected pressure cycles in fixed post cases to find the speed of sound and mean flow velocity of the chamber to compare simulation and experiment. Another attempt at high-fidelity comparison is to convert the CVRC HF pressure time series into a visibility graph using visibility algorithm, then plotting the loglog degree distribution (DD) to see how well simulation pressure data compare to experiment results. The analysis result for fixed post 13.97 cm length shows the
Pilot Study: Feasibility and Preliminary Outcome of the Psychotherapy Intervention with Parents of Leukaemia Children in Malaysia

Reporting the preliminary findings and the feasibility of a pilot group psychotherapy intervention study of one hour session for four sessions, also known as 'PERKASA Intervention' towards parents of children with leukaemia, conducted at one of the University Teaching Hospital (UTH) in Malaysia. In this Randomized Controlled Trial (RCT) design, a total of 19 parents agreed to participate and 11 participants were placed in the Treatment Group (TG), meanwhile eight parents were placed in the Control Group (CG). This study looked at the effects comparison between pre- and post-interventions, as well as reviewed the feasibility of the implementation of PERKASA Interventions. Feasibility refers to the evaluation of TG participants' feedback. PERKASA Intervention showed to positively impact stress, depression, anxiety, and coping strategies among TG at the pre and post stages. PERKASA Intervention has also been shown that it can be consistently used for targeted groups. The main challenge seen was the recruitment of participants during Covid-19 pandemic occurring all over the world. The data from this pilot study can be used as a reference for larger-scale studies in the future. This intervention was fully conducted by professionals from Medical Social Worker as therapists and the first to be implemented in Malaysia.
Removing Diurnal Signals and Longer Term Trends From Electron Flux and ULF Correlations: A Comparison of Spectral Subtraction, Simple Differencing, and ARIMAX Models

Simultaneously cycling space weather parameters may show high correlations even if there is no immediate relationship between them. We successfully remove diurnal cycles using spectral subtraction, and remove both diurnal and longer cycles (e.g., the 27 days solar cycle) with a difference transformation. Other methods of diurnal cycle removal (daily averaging, moving averages [MAs], and simpler spectral subtraction using regression) are less successful at removing cycles. We apply spectral subtraction (a finite impulse response equiripple bandstop filter) to hourly electron flux (Los Alamos National Laboratory satellite data) and a ground‐based ULF index to remove a 24 hr noise signal. This results in smoother time series appropriate for short‐term (approximately < 1 week) correlation and observational studies. However, spectral subtraction may not remove longer cycles such as the 27 days and 11 yr solar cycles. A differencing transformation (yt – yt−24) removes not only the 24 hr noise signal but also the 27 days solar cycle, autocorrelation, and longer trends. This results in a low correlation between electron flux and the ULF index over long periods of time (maximum of 0.1). Correlations of electron flux and the ULF index with solar wind velocity (differenced at yt – yt−1) are also lower than previously reported (≤0.1). An autoregressive, MA transfer function model (ARIMAX) shows that there are significant cumulative effects of solar wind velocity on ULF activity over long periods, but correlations of velocity and ULF waves with flux are only seen over shorter time spans of more homogeneous geomagnetic activity levels.