Miracle-dz/UniFAR-FTUs huggingface dataset:
Proposal of New Safety Limits for In Vivo Experiments of Magnetic Hyperthermia Antitumor Therapy

Simple Summary Magnetic hyperthermia is a promising therapy for the treatment of certain types of tumors. However, it is not clear what the maximum limit of the magnetic field to which the organism can be subjected without severe and/or irreversible pathophysiological consequences is. This study aims to study the alterations at the physiological level that may occur after exposure to different combinations of frequency and intensity of the applied alternating magnetic field. Understanding the response to alternating magnetic field exposure will allow us to apply this type of antitumor treatment in a safer way for the patient, while achieving an optimal therapeutic result. Abstract Background: Lately, major advances in crucial aspects of magnetic hyperthermia (MH) therapy have been made (nanoparticle synthesis, biosafety, etc.). However, there is one key point still lacking improvement: the magnetic field-frequency product (H × f = 4.85 × 108 Am−1s−1) proposed by Atkinson–Brezovich as a limit for MH therapies. Herein, we analyze both local and systemic physiological effects of overpassing this limit. Methods: Different combinations of field frequency and intensity exceeding the Atkinson–Brezovich limit (591–920 kHz, and 10.3–18 kA/m) have been applied for 21 min to WAG/RijHsd male rats, randomly distributed to groups of 12 animals; half of them were sacrificed after 12 h, and the others 10 days later. Biochemical serum analyses were performed to assess the general, hepatic, renal and/or pancreatic function. Results: MH raised liver temperature to 42.8 ± 0.4 °C. Although in five of the groups the exposure was relatively well tolerated, in the two of highest frequency (928 kHz) and intensity (18 kA/m), more than 50% of the animals died. A striking elevation in liver and systemic markers was observed after 12 h in the surviving animals, independently of the frequency and intensity used. Ten days later, liver markers were almost recovered in all of the animals. However, in those groups exposed to 591 kHz and 16 kA/m, and 700 kHz and 13.7 kA/m systemic markers remained altered. Conclusions: Exceeding the Atkinson–Brezovich limit up to 9.59 × 109 Am−1s−1 seems to be safe, though further research is needed to understand the impact of intensity and/or frequency on physiological conditions following MH.
Does a Bevacizumab-based regime have a role in the treatment of children with diffuse intrinsic pontine glioma? A systematic review

Abstract Background There are no effective treatments for diffuse intrinsic pontine glioma (DIPG); median survival is 11.2 months. Bevacizumab has the potential to improve quality of life (QOL) and survival in DIPG but has never been evaluated systematically. The aim of this review was to assess Bevacizumab’s role in the treatment of DIPG. Methods MEDLINE, EMBASE, Scopus, and Web of Science were searched for relevant studies using terms developed from alternatives for Bevacizumab and DIPG. One reviewer screened titles and abstracts, then two reviewers screened full texts. Data were extracted into tables and quality assessed using methodological index for non-randomized studies and JBI tools. Results Searching revealed 1001 papers; after deduplication 851 remained. After screening of titles and abstracts, then 28 full texts, 11 studies were included. Four studies reported a median overall survival longer than historical data, however, two found no significant impact of Bevacizumab. Five studies reported a radiological response in a proportion of participants and two reported no response. Three studies, evaluating clinical response, reported improvement in a proportion of patients. Three studies, evaluating QOL, reported stability or improvement. Four studies, evaluating steroid use, reported reductions in the proportion of patients receiving steroids. In radiation necrosis treatment, Bevacizumab led to clinical improvement in 6/12 patients in 2 studies and permitted a reduction in steroid use in most patients. Conclusions Insufficient evidence means the role of Bevacizumab in the treatment of DIPG is unclear. However, Bevacizumab may be beneficial to some patients. The review highlights the need for further research in this area.
Comparative Phylogeography of Birds Across the Tocantins–Araguaia Interfluve Reveals a New Biogeographic Suture in the Amazon Far East

Few phylogeographic studies have focused on understanding the role of the Tocantins–Araguaia Interfluve (TAI) in the diversification of Amazonian biodiversity. Herein we evaluate the phylogeographic relationships of 14 avian lineages present in the TAI and its two neighboring Amazonian Areas of Endemism: the Xingu (XAE) and Belém (BAE). Four alternative scenarios coupling degree of genetic differentiation and area relationships were tested: (1) populations distributed in TAI, BAE, and XAE are not genetically differentiated from each other (assumed as the null hypothesis); (2) populations from TAI are more closely related to those from BAE; (3) populations from TAI are more closely related to those from XAE; and (4) TAI populations represent independent or endemic lineages not present in either the BAE or XAE. Molecular analyses considered Bayesian Inference methods and Bayesian Information Criterion (BIC) evolutionary models, haplotype sharing and genetic differentiation estimates. We found three distinct phylogeographic patterns: (i) four lineages presented no population structure across XAE, TAI and BAE; (ii) six lineages were represented in the TAI with distinct phylogroups replacing each other between XAE and BAE, but with varying degrees of contact and evidence of gene-flow within the TAI; and (iii) for four lineages, the Tocantins River acted as a barrier isolating BAE phylogroups from those inhabiting both TAI and XAE. These different patterns demonstrate a heterogeneous response to the barrier effects posed by both the Tocantins and Araguaia rivers on the local fauna. Historical geomorphological and hydromorphological factors, such as the presence and absence of paleochannels and anastomosed channel stretches and variations in sedimentation rates support a dynamic history for the Araguaia-Tocantins floodplains, likely accounting for the observed heterogeneity in species’ specific responses. Finally, the scenario of phylogeographic breaks and population subdivision recovered herein along the Tocantins and Araguaia rivers, associated with the existence of contact zones and the occurrence of gene flow, define the TAI as hitherto unknown biogeographic suture zone, localized in southeasternmost Amazonia.
Readiness of nurses working in COVID-19 pandemic

Background: The demands placed on nurses during a pandemic are far greater than those of any other professional group. Therefore, this review was conducted to explore the readiness of nurses to work during the COVID-19 pandemic. Method: This study is a systematic literature review. Articles were obtained from five databases including Scopus, Wiley Online Library, PubMed, ProQuest and GARUDA which are databases recommended by the ministry of education, culture, research, and technology in Indonesia. Article searches were also carried out through Gray Literature. This review follows the guidelines based on PRISMA 2020. All included articles published in English and Indonesian which are the result of research and were published in the last four years (2019-2022). Results: There are nine articles obtained from all databases, each of which analyzes the findings descriptively about the readiness of nurses in dealing with the COVID-19 pandemic. Conclusion: These findings indicate that internal and external factors can affect nurses' readiness to work during the COVID-19 pandemic. Therefore, in increasing the competence of nurses, support is needed so that nurses' readiness in managing patients can be carried out optimally.
Profitable Taxi Travel Route Recommendation Based on Big Taxi Trajectory Data

With the advent of GPS tracking technology, how to make use of taxi trajectories to efficiently and effectively reduce taxis cruising distance is an active and challenging research topic. In this paper, we propose a profitable taxi route recommendation method called adaptive shortest expected cruising route (ASER). In ASER, a probabilistic network model is developed to predict pick-up probability and capacity of each location by using Kalman filtering method. To recommend profitable driving routes to taxi drivers, ASER takes the load balance between passengers and taxis into consideration and the shortest expected cruising distance is introduced to formulate potential cruising distance of taxis. Moreover, MapReduce and a novel data structure kdS-tree are applied to improve recommendation efficiency. ASER is evaluated on two real trajectory datasets from San Francisco, CA, USA, and Wuhan, China. The experimental results validate that ASER significantly outperforms the existing methods by reducing the taxi cruising distance 11% and 39%.
A compact printed multistubs loaded resonator rectangular monopole antenna design for multiband wireless systems

In the present article, a compact triple‐band multistubs loaded resonator printed monopole antenna is proposed. The antenna consists of a quarter wavelength two asymmetrical inverted L‐shaped stubs to excite two resonant modes for 3.5/5.5 GHz bands and one integrated horizontally T‐shaped stub with inverted long L‐shaped stub to excite resonant mode for 2.5 GHz band. By loading these stub resonators along y‐axis with distinct gaps, the antenna resonates at three frequencies 2.57/3.52/5.51 GHz covering the desired bands while keeping compact size of 24 × 30 mm2 (0.2 λ0 × 0.25 λ0 ). The proposed antenna is fabricated on Rogers RT/duroid 5880 substrate with thickness 0.79 mm and its performance experimentally verified. The measured results reveal that the antenna has the impedance bandwidths of about 210 MHz (2.50‐2.71 GHz), 260 MHz (3.37‐3.63 GHz), and 650 MHz (5.20‐5.85 GHz), for 2.5/3.5/5.5 GHz WiMAX and 5.2/5.8 GHz WLAN band systems. The antenna provides omnidirectional radiation patterns and flat antenna gains over the three operating bands. In addition, the design approach and effects of multistubs resonator lengths on the operating bands are also examined and discussed in detail.
Distinct Transcriptional Profile of PDZ Genes after Activation of Human Macrophages and Dendritic Cells

The PDZ (PSD95, Dlg and ZO-1) genes encode proteins that primarily function as scaffolds of diverse signaling pathways. To date, 153 PDZ genes have been identified in the human genome, most of which have multiple protein isoforms widely studied in epithelial and neural cells. However, their expression and function in immune cells have been poorly studied. Herein, we aimed to assess the transcriptional profiles of 83 PDZ genes in human macrophages (Mɸ) and dendritic cells (DCs) and changes in their relative expression during cell PRR stimulation. Significantly distinct PDZ gene transcriptional profiles were identified under different stimulation conditions. Furthermore, a distinct PDZ gene transcriptional signature was found in Mɸ and DCs under the same phagocytic stimuli. Notably, more than 40 PDZ genes had significant changes in expression, with potentially relevant functions in antigen-presenting cells (APCs). Given that several PDZ proteins are targeted by viral products, our results support that many of these proteins might be viral targets in APCs as part of evasion mechanisms. Our results suggest a distinct requirement for PDZ scaffolds in Mɸ and DCs signaling pathways activation. More assessments on the functions of PDZ proteins in APCs and their role in immune evasion mechanisms are needed.
PB1896: WHOLE EXOME SEQUENCING IDENTIFIES A NOVEL TRANSCRIPTION FACTOR ASSOCIATED WITH FATAL DISEASE PROGRESSION IN CHRONIC MYELOID LEUKEMIA

Chronic Myeloid Leukemia (CML) primarily develops as a result of t(22;9) that creates Philadelphia chromosome and oncogenic BCR-ABL fusion transcript (1). Discovery of BCR-ABL paved the way for designing signal transduction inhibitor drugs called tyrosine kinase inhibitors (TKIs) that have revolutionized CML treatment in 21 st century, by making survival of CML equal to general population (2). Nevertheless, TKIs are minimally effective CML patients progressed to blast crisis (BC-CML). Unfortunately mechanism of CML progression is poorly understood (2). Various transcription factors (TFs) are associated with different diseases and progression of many cancers Although a large number of TFs are involved in pathogenesis of acute leukemias, very little is known about role of TFs in CML progression. Whole-exome sequencing (WES) employed to find out mutations in novel TF-genes associated with accelerated phase (AP-CML) and blast crisis phase CML (BC-CML) patients
Lung cancer prediction and retrieval using multistage hybrid prediction approach

In cancer diagnosis computer-aided Prediction is considered as significant research domain. The generation and processing of lung cancer identification and Prediction is expensive. During past decades, content-based image retrieval (CBIR) technique has been applied in various medical applications. For effective diagnosis of lung cancer radiologist’s requires effective approach for cancer prediction and diagnosis. In this research, for prediction of CT lung images is achieved using hybrid Prediction approach is adopted with integration of logistic regression and Adaboost classifier. Feature extraction and retrieval of lung cancer image applied through optimization technique known as firefly approach for processing several vector features of lung images to derive salient characteristics for achieving best features. Results illustrated that proposed prediction and retrieval approach exhibits significant performance rather than conventional technique. The proposed approach provides classification accuracy of 97% which is significantly higher.
Dollar Unit Sampling: Multinomial Bounds for Total Overstatement and Understatement Errors

This paper presents a statistical sampling approach based on the multinomial distribution for obtaining a bound for either total population understatement or overstatement errors or both. The approach is nonparametric in nature and, unlike most currently used techniques, it has known characteristics so that the auditor is assured of the specified confidence level regardless of the nature of the population and the nature of the error pattern. Results are presented which show the multinomial bound to give tighter bounds than the Stringer bound in all instances studied. The behavior of the multinomial bound is studied with respect to the effects of sample size and error patterns. W HEN auditors first considered the use of statistical sampling techniques for estimating the total audit amount for a population (or, equivalently, the total amount of error for a population), they turned to classical sample survey techniques. Inasmuch as auditors have available both the book value and the audit value for each sampling unit, it was logical for them to consider ratio and difference estimators because these estimators utilize both of these characteristics for estimating the total error amount or the total audit value. Stringer [1963] cautioned that use of these estimators entails potential dangers because their estimated standard errors will equal zero when no errors are found in the sample. With classical large-sample confidence limits this would imply that the point estimate of the total audit amount or the total error amount is perfect, which, obviously, is not a reasonable conclusion in an audit situation employing a moderately large sample
DMFFNet: Dual-Mode Multi-Scale Feature Fusion-Based Pedestrian Detection Method

Most contemporary pedestrian detection algorithms are based on visible light image detection. However, in environments with dim light, small targets, and easily occluded and cluttered backgrounds, single-mode visible light images relying on color, texture, and other features cannot adequately represent the feature information of targets; as a result, a large number of targets are lost and the algorithm performance is not good. To address this problem, we propose a dual-modal multi-scale feature fusion network (DMFFNet). First, we use the MobileNet v3 backbone network to extract the features of dual-modal images as input for the multi-scale fusion attention (MFA) module, combining the idea of multi-scale feature fusion and attention mechanism. Second, we deeply fuse the multi-scale features output by the MFA with the double deep feature fusion (DDFF) module to enhance the semantic and geometric information of the target. Finally, we optimize the loss function to reflect the distance between the predicted box and the real box more realistically as well as to enhance the ability of the network toward predicting difficult samples. We performed multi-directional evaluations on the KAIST dual-light pedestrian dataset and the visible-thermal infrared pedestrian dataset (VTI) in our laboratory through comparative and ablation experiments. The overall MR-2 on the KAIST dual-light pedestrian dataset is 9.26%, and the MR-2 in dim light, partial occlusion, and severe occlusion are 5.17%, 23.35%, and 47.31%, respectively. The overall MR-2 on the VIT dual-light pedestrian dataset is 9.26%, and the MR-2 in dim light, partial occlusion, and severe occlusion are 5.17%, 23.35%, and 47.31%, respectively. The results show that the algorithm performs well on pedestrian detection, especially in dim light and when the target was occluded.
Design and Development of a Scaffolding-Based Mindtool for Gamified Learning Classrooms

A scaffolding-based mind tool was designed to allow teachers to easily create lesson plans for in-class gamified activities and to embed various scaffoldings in the lesson plan design. The purpose of this study was to investigate the learning outcomes of a scaffolding-based mind tool integrated with gamified learning activities applied to a science course. The study was conducted to investigate students' learning outcomes, flow, and qualitative feedback on the scaffolding-based mind tool. A total of 134 high school students participated in the experiment. The results showed that the gamified activity with the scaffolding-based mindtool significantly improved students' learning effectiveness, but the learning effectiveness did not differ significantly from that of the students in the lecture-based instruction. In addition, the study found that the learners' flow was high, the students were engaged in the activity. The qualitative feedback analysis also revealed high positive evaluations of the usefulness of the gamified activity, mind tool, and scaffolds. In addition, students with low prior knowledge or low learning effectiveness had significantly higher active engagement in flow than those with high prior knowledge/learning effectiveness.
Sıvılaşmanın UBC3D-PLM Model ile Tahmin Edilmesi: Santrifüj Deneyi Örneği

Bu calismada UBC3D-PLM model ile literaturde yer alan santrifuj deneyi modellenerek elde edilen sonuclar deneysel ve sayisal olarak karsilastirilmis ve sivilasma davranisi tahmin edilmeye calisilmistir. Ilk olarak UBC3D-PLM model icin gereken malzeme parametreleri ve kalibrasyon asamalarindan bahsedilerek santrifuj model deneyinde kullanilan zeminlerin monotonik ve cevrimsel yukler altindaki davranisi, sayisal modelde benzer bir davranis sergileyecek sekilde kalibre edilmistir. Kalibrasyon sonucunda elde edilen malzeme parametreleri kullanilarak, santrifuj deneyi sayisal olarak modellenmistir. Sayisal analiz sonucunda hesap edilen ivme, artik bosluk suyu basinci ve deplasmanlar deneyde olculen degerler ile karsilastirilmis ve genel olarak tutarli sonuclar elde edilmistir.
Working with categorical data with R and the vcd and vcdExtra packages

This tutorial describes the creation and manipulation of frequency and contingency tables from categorical variables, along with tests of independence, measures of association, and methods for graphically displaying results. The framework is provided by the R package vcd, but other packages are used to help with various tasks. The vcdExtra package extends the graphical and statistical methods provided by vcd. This package is now the main support package for the book Discrete Data Analysis with R: Visualizing and Modeling Techniques for Categorical and Count Data (Friendly and Meyer 2016). The web page for the book, ddar.datavis. ca, gives further details.
New considerations and approaches to the detection of overhead cables by radar

This thesis reports on research into the electromagnetic backscatter from overhead power cables as this method of distributing electrical power is hazardous to aircraft flying at low-altitudes especially during periods of low visibility. The work presented intends to improve current overhead cable detection techniques by using high-resolution millimetre-wave devices which will also allow compact devices that can be practical on a variety of airborne platforms such as manned aircraft, unmanned aerial vehicles and drones. The research also presents cable measurements obtained by airborne radar devices that operate at lower frequency bands, Ka-band and Ku-band, which were able to identify power line vulnerabilities due to a change in cable tautness along a power line. A modern, more efficient, overhead power cable type ACCC (Aluminium Conductor Composite Core) is also discussed and the effect of the less prominent surface structure of this cable type, relative to the most commonly used type of overhead power cable ACSR (Aluminium Conductor Steel Reinforced), on the backscattered radar signature is compared using both modelled and measured results for both cable types. The scattering model and measurements presented in this research are the first ever quantitative results reported for the ACCC type of cable.
Evaluation of a Physical Activity and Multi-Micronutrient Intervention on Cognitive and Academic Performance in South African Primary Schoolchildren

Executive functions (EFs) are essential for optimal academic development. Appropriate nutrition and physical activity (PA) have been shown to facilitate optimal cognitive development. Therefore, this study examined whether a 12-week school-based PA and multi-micronutrient supplementation (MMNS) intervention would improve cognitive and academic performance. A cluster-randomized controlled trial (RCT) was conducted. Children from four schools located in a peri-urban area of South Africa were randomly assigned to (i) PA + MMNS, (ii) PA + placebo, (iii) MMNS or (iv) placebo. Information processing and inhibitory control were measured with a computerized Flanker task. End-of-year results provided insight into academic achievement. Anthropometric measures were used to determine nutritional status. Data were analyzed with linear mixed-models, adjusting for baseline scores, school classes and age; 932 children (458 girls (49.1%), Mage (mean age) = 8.42 ± 1.94 years) completed baseline and post-intervention assessments. Cognitive performance improved among all four groups, with no significant group × time effects. For academic achievement, there was no significant interaction effect between the combined intervention group and placebo. We encourage future studies in this neglected area in order to determine the most optimal design of school-based nutrition and PA programs to enhance overall cognitive performance.