bluuebunny/crossref_metadata_2025_split huggingface dataset:
Special Needs Insurance: More Stability for a Growing Family's Budget
Authors: Morel David 
Published: November 2021

Objective.—To propose an insurance product called special needs insurance. The insurance will pay parents a lump sum up to $100,000 if they have a child that is born with or develops a special needs condition such as Down syndrome, cerebral palsy or autism.Background.—Raising a child is expensive; raising a child with a special need can be hundreds of thousands of dollars more expensive. These additional costs include direct costs that are not covered by health insurance and indirect costs such as the loss of earnings when a working parent must tend to a special needs child.Method.—We analyze a gamut of birth and early childhood disabilities, both physical and cognitive, from the medico-actuarial perspective. We describe each condition using relevant medical literature and calculate prevalence rates from epidemiological studies (appendix A1-A15). After accounting for multiple births, we develop a final premium.Results.—We find that physical impairments are sufficiently well understood to guarantee a fixed payout, whereas cognitive impairments such as autism are less understood, and so for these we propose a cognitive fund that does not guarantee a fixed payout. We find that an average single premium of $4,600 allows the insurer to profitably pay out the proposed benefits.Conclusions.—Raising a special needs child can put a significant strain on the affected family's budget. We propose an insurance product that provides relief through a large lump sum payout. Although no new insurance product can be guaranteed success, our analysis of this product gives an interested insurer reasonable justification to take on this new risk.
Utilizing an Arduino-Based Accelerometer in Civil Engineering Applications in Undergraduate Education
Authors: Komec Mutlu Ahu , Tugsal Ulgen Mert , Dindar Ahmet Anil 
Published: November 2021

Abstract
One of the most important issues in civil engineering undergraduate education is response analysis of structures for earthquake-resistant design. Precautions that should be taken against seismic hazards not only include the design of earthquake-safe buildings but also monitoring the strength and dynamic characteristics of structures. Because this is an important topic in theoretical aspects of civil engineering education at the undergraduate level, it is essential to have opportunities to perform practices so students can better understand lectures. In the Gebze Technical University (GTU) Civil Engineering Department, we guide our undergraduate students to graduate as competent engineers who use practice tools. For this purpose, we designed an Arduino-based accelerometer device and its software toolkit, which records and visualizes structural vibration data in the process of learning the best practices of seismic safety. The device contains Arduino UNO board ADXL345 MEMS (microelectromechanical systems) Accelerometer and microSD card module. Both Arduino and Python open-source programming languages were implemented in the device. We have produced a total number of 15 accelerometers (named the ACCE_edu-Arduino based accelerometer for Civil Engineering education) integrating these cards and sensors that are widely used for vibration measurement and interpretation to record vibration data. Within the scope of “Python programming” lectures in the GTU undergraduate program, these toolkits will be used to obtain data that would be recorded, stored, visualized, and filtered using Python programming language, which provides a practical application in data processing.
Benchmarking Automated Rayleigh-Wave Arrival Angle Measurements for USArray Seismograms
Authors: Frazer William D. , Doran Adrian K. , Laske Gabi 
Published: November 2021

Abstract
Surface-wave arrival angles are an important secondary set of observables to constrain Earth’s 3D structure. These data have also been used to refine information on the alignments of horizontal seismometer components with the geographic coordinate system. In the past, particle motion has been inspected and analyzed on single three-component seismograms, one at a time. But the advent of large, dense seismic networks has made this approach tedious and impractical. Automated toolboxes are now routinely used for datasets in which station operators cannot determine the orientation of a seismometer upon deployment, such as conventional free-fall ocean bottom seismometers. In a previous paper, we demonstrated that our automated Python-based toolbox Doran–Laske-Orientation-Python compares favorably with traditional approaches to determine instrument orientations. But an open question has been whether the technique also provides individual high-quality measurements for an internally consistent dataset to be used for structural imaging. For this feasibility study, we compared long-period Rayleigh-wave arrival angles at frequencies between 10 and 25 mHz for 10 earthquakes during the first half of 2009 that were recorded at the USArray Transportable Array—a component of the EarthScope program. After vigorous data vetting, we obtained a high-quality dataset that compares favorably with an arrival angle database compiled using our traditional interactive screen approach, particularly at frequencies 20 mHz and above. On the other hand, the presence of strong Love waves may hamper the automated measurement process as currently implemented.
Lung Cancer Diagnosis using Transfer Learning
Authors: Mohite Aashka 
Published: November 2021

Lung cancer is unquestionably a lung-influencing chronic condition that significantly hampers the respiratory system. It is the second most dangerous disease which causes increase in death rate. To resolve this issue, we had planned to create a very Convolutional Neural Network using Transfer learning to specifically classify the lungs CT scans as normal, malignant, or benign in a subtle way. A dataset of 1100 lung CT scans is used for this purpose. For the most part, five Transfer Learning architectures are compared extensively in this classification such as MobileNet, VGG16, VGG19, DenseNet-201 and ResNet-101. Out of which, DenseNet-201 performed the best. The proposed strategy achieved a mean accuracy of 53 percent in the trials and 43% of mean F1-score, mean precision and mean recall.
Fortalecimiento competencia interpretativa para potencializar procesos de aprendizaje en lenguaje y matemáticas
Authors: Montañez-Gómez Yaned , Rubio-Torres Claudia 
Published: November 2021

Para contribuir con los retos de la educación del siglo XXI, sumado a los cambios en el conocimiento y a la manera de enseñar y aprender de las nuevas generaciones vinculadas a un mundo en continuo crecimiento y amplia accesibilidad a la comunicación e información que incide a nivel global en la interpretación de diferentes clases de texto procedentes de cualquier lugar del planeta y de todo tipo de culturas, religiones e ideologías, es necesario que la escuela capacite educandos en lectura interpretativa de textos para discernirla , por tal razón, nuestra investigación estableció como objetivo implementar una estrategia didáctica que permita fortalecer las habilidades de la competencia interpretativa de un texto para potencializar los procesos de aprendizaje de los estudiantes, que modifiquen sus proyectos de vida y mejoren el rendimiento académico de la institución educativa. Es una investigación acción de corte cualitativo, partió de autorreflexiones de las prácticas educativas con los estudiantes del grado 9-1, para formar estudiantes competentes con aprendizajes significativos. Para el análisis de resultados se utilizó un método mixto, se establecieron dos categorías de estudio, encontrando que la estrategia didáctica implementada fortaleció la competencia interpretativa de los textos para asimilar el conocimiento.
Down-Regulated hsa-miR-190b-5p is Correlated With BCL11A Expression in Pediatric β-Thalassemia
Authors: Chen Meihuan , Wang Xinrui , Wang Haiwei , Zhang Min , Chen Lingji , Chen Hong , Pan Yali , Zhang Yanhong , Xu Liangpu , Huang Hailong 
Published: November 2021

Abstract
Background: Transcription factor BCL11A is a key regulator of hemoglobin switching in adult β-thalassemia. Several microRNAs (miRNAs) involve in the pathology of β-thalassemia by regulations of BCL11A. However, the expressions and regulators of BCL11A in pediatric β-thalassemia were unclear. Methods: 18 pediatric β- thalassemia patients and 11 healthy controls were selected in this study. We applied reverse transcript quantitative real time PCR (RT-PCR) to analyze the expression levels of hsa-miR-190b-5p and γ-globin in pediatric β-thalassemia patients and luciferase activity assay to find out the direct regulations of BCL11A . Correlation between hsa-miR-190b-5p and biochemical indicators, BCL11A was assessed by the Pearson’s correlation test. Results: The expression levels of γ-globin in pediatric β-thalassemia patients were significantly increased. Moreover, the expression levels of hsa-miR-190b-5p were significantly down-regulated in pediatric β-thalassemia patients. Furthermore, hsa-miR-190b-5p was negatively correlated with BCL11A expression in pediatric β-thalassemia patients. Through luciferase activity assay, we found that hsa-miR-190b-5p was directly interacted with BCL11A 3’UTR 499-506 regions. Conclusion: Our results suggested that hsa-miR-190b-5p played key roles in regulating of BCL11A expression, which might provide novel therapies in pediatric patients with β-thalassemia .
Telomere Length is Not a Main factor for the Development of Islet Autoimmunity and Type 1 Diabetes in the TEDDY Study
Authors: Parikh Hemang , Törn Carina , Liu Xiang , Onengut-Gumuscu Suna , Counts Kevin , Moreno Jose , Remedios Cassandra , Chen Wei-Min , LeFaive Jonathon , Butterworth Martha , Akolkar Beena , Krischer Jeffrey , Lernmark Åke , Rewers Marian , She Jin-Xiong , Toppari Jorma , Ziegler Anette-Gabriele , Ratan Aakrosh , Smith Albert , Hagopian William , Rich Stephen 
Published: November 2021

Abstract
The Environmental Determinants of Diabetes in the Young (TEDDY) study enrolled 8,676 children, 3-4 months of age, born with HLA-susceptibility genotypes for islet autoimmunity (IA) and type 1 diabetes (T1D). Whole-genome sequencing (WGS) was performed in 1,119 children in a nested case-control study design. Telomere length was estimated from WGS data using five tools: Computel, Telseq, Telomerecat, qMotif and Motif_counter. The estimated median telomere length was 5.10 kb (IQR: 4.52 kb – 5.68 kb) using Computel. The age when the blood sample was drawn had a significant negative correlation with telomere length (P = 0.003). European children, particularly those from Finland (P = 0.041) and from Sweden (P = 0.001), had shorter telomeres than children from the U.S.A. Paternal age (P = 0.019) was positively associated with telomere length. First degree relative status, presence of gestational diabetes in the mother, and maternal age did not have a significant impact on estimated telomere length. HLA-DR4/4 or HLA-DR4/X children had significantly longer telomeres compared to children with HLA-DR3/3 or HLA-DR3/9 haplogenotypes (P = 0.008). Estimated telomere length was not significantly different with respect to any IA (P = 0.377), IAA-first (P = 0.248), GADA-first (P = 0.248) or T1D (P = 0.861). These results suggest that telomere length has no major impact on the risk for IA, the first step to develop T1D. Nevertheless, telomere length was shorter in the T1D high prevalence populations, Finland and Sweden.
On the appropriate interpretation of evidence: the example of anti-vascular endothelial growth factor for diabetic macular edema
Authors: Wu Jing , Adams Clive , He Xiaoning , Qi Fang , Xia Jun 
Published: November 2021

Abstract
Background: Different network meta-analyses (NMAs) on the same topic result in differences in findings. In this review we investigated network meta-analyses comparing ranibizumab with aflibercept for diabetic macular edema in the hope of illuminating why the differences in findings occurred.Findings: For the binary outcome of best corrected visual acuity, different reviews all agreed on their being no clear difference between the two treatments; while continuous outcomes all favour aflibercept over ranibizumab. We discussed four points of particular concern that are illustrated by five similar NMAs, including: network differences, PICO differences, different data from the same measures of effect, differences in what is truly significant.Conclusions: Closer inspection of each of these reviews shows how the methods, including the searches and analyses all differ but the findings, although presented differently and sometimes interpreted differently, were similar.
Effect of Physiotherapy on the Promotion of Bone Mineralization in Preterm Infants. A Randomized Controlled Trial.
Authors: Torró-Ferrero Galaad , Fernández-Rego Francisco Javier , Agüera-Arenas Juan Jose , Gómez-Conesa Antonia 
Published: November 2021

Abstract
BackgroundPreterm infants have a low level of bone mineralization compared to those born at term, since 80% of calcium incorporation occurs at the end of pregnancy. The purpose of the present study was to investigate the effect of reflex locomotion therapy on bone mineralization and growth in preterm infants and compare its effect against other physiotherapy procedures.MethodsA randomized controlled trial carried out over four years from February 2016 to July 2020 was conducted. 52 preterm infants born at 29-34 weeks with hemodynamical stability, full enteral nutrition, and without any metabolic, congenital, genetic, neurological or respiratory disorders, were evaluated for inclusion; 6 were discarded due to exclusion criteria; finally 46 were randomized to three groups but only 76.08% completed the study: One group received reflex locomotion therapy (EGrlt); other group received passive movements with gentle compression (EGpmc); and control group received massage (CG). All treatments were carried out at the neonatal unit lasting one month. The main outcome measure was the bone mineralization measured with Tibial Speed of Sound (Tibial-SOS). A repeated measures ANOVA was used to compare the results of Tibial-SOS, and anthropometric measurements. All the personnel who carried out the measurement tests were blinded to which intervention group the patients belonged. Likewise, participants, family, and data analysts were also blinded. The physiotherapist who carried out the treatments was blinded against the objectives of the study.ResultsInfants were randomized into EGrlt (n=17), EGpmc (n=14), and CG (n=15). All groups were similar in terms of gestational age (31.8±1.18) and birth weight (1583.41±311.9), age (33.5±1.24) and Tibial Speed of Sound (1604.7±27.9), at the beginning of the intervention. At the end of the study, significant differences were found among groups in Tibial Speed of Sound [F(4,86)=2.77, P=0.049, ηp2=0.114] in benefit of EGrlt.ConclusionsThe reflex locomotion therapy has been effective in the improvement of Tibial Speed of Sound, and has been more effective than other physical therapy modalities; therefore it could be considered as one of the most effective physiotherapeutic modalities for the prevention and treatment of osteopenia of prematurity.Trial registration﻿ClinicalTrials.gov Identifier: NCT04356807. Registered 22/04/2020 – Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04356807?cond=Physical+Therapy+to+Prevent+Osteopenia+in+Preterm+Infants&draw=2&rank=1
PCSK9 Inhibitor Induces a Transient Decrease in Neutrophil-Lymphocyte Ratio and Monocyte-Lymphocyte Ratio in Homozygous/Compound Heterozygous Familial Hypercholesterolemia Patients
Authors: Li Fang Yuan , Ye Pucong , Hao Yu , Du Juan , Zhang Hang , Wang Zengtao , Wang Xumin , Ma Yaluan , Zeng Hui , Lin Jie 
Published: November 2021

Abstract
Background: Homozygous/compound heterozygous familial hypercholesterolemia (HoFH/cHeFH) is characterized by extremely elevated low-density lipoprotein-cholesterol (LDL-C) levels that have been reported to contribute to a long-term chronic systemic inflammation. The aims of this study are to describe the inflammatory profile of HoFH/cHeFH patients and explore the effect of PCSK9 inhibitor (PCSK9i) on a series of inflammatory biomarkers, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-HDL ratio (MHR), monocyte-lymphocyte ratio (MLR) and mean platelet volume-lymphocyte ratio (MPVLR). Methods: In this prospective cohort study, 21 definitive HoFH/cHeFH on high-intensity statins plus ezetimibe were placed on subcutaneous injections of PCSK9i 450mg every 4 weeks (Q4W). The biochemical parameters and inflammatory profile were analyzed at the day before PCSK9i therapy, 3 months and 6 months after PCSK9i therapy.Results: We found that HoFH/cHeFH on maximum tolerated statin dose plus ezetimibe displayed an elevated lipid and disturbed blood biomarker profile. After 3 months of add-on PCSK9i therapy, a significant reduction of LDL-C was observed. Meanwhile, percentage and count of neutrophils, monocyte counts, MPV, as well as two inflammatory biomarkers, NLR and MLR were reduced. However, at 6-month PCSK9i treatment, NLR and MLR returned to pre-PCSK9i treatment levels.Conclusions: PCSK9i induces a transient decrease in NLR and MLR in HoFH/cHeFH patients. Our results add evidence in evaluating the effects of PCSK9i on systemic inflammation.
piRNAs and PIWI proteins as potential biomarkers in ‌Breast cancer
Authors: Amelimojarad MANDANA , Amelimojarad Melika 
Published: November 2021

Abstract
PIWI-interacting RNAs (piRNAs) are another subgroup of small non-coding RNAs, that can play different biological activities further to their capabilities in the germline such as regulating the gene and protein expression, epigenetic silencing of transposable elements, and regulating the spermatogenesis by interacting with PIWI proteins. Recently, with the help of next-generation sequencing, abnormal expression of piRNAs have been observed in different types of cancer such as breast cancer (BC). A new investigation proposes piRNA as a prognostic and diagnostic biomarker in the treatment of BC. Therefore, this review aims to focus on the role of piRNAs in the initiation, progression, and metastasis of BC and its molecular mechanisms to understand its function and provide a better therapeutic strategy.
Multi-Objective Optimization of Deep Groove Ball Bearings Using Fatigue-Wear-Thermal Considerations Through Genetic Algorithms
Authors: Dabbara Raghavendra Rohit , Tiwari Rajiv 
Published: November 2021

Abstract
Bearings are the key components in a wide range of machines used in different sectors of industries. Consequently, any improvement in the performance of bearings would be a step forward to extract better performance from those machines. With this motivation in mind, we selected the most common type of bearing, the Deep Groove Ball Bearing (DGBB), for optimizing its performance. Obviously, the first and foremost performance characteristic would be the dynamic load carrying capacity (CD), whose improvement directly leads to the increased service life of the bearing. We have considered two more characteristics of bearings, which we thought would have an impact on the bearings’ performance. They are elasto-hydrodynamic film thickness (hmin) and maximum temperature developed (Tmax) inside the bearing. Maximization of the lubricant thickness decreases the damage to the rolling elements and the raceways due to metal-metal contact. And minimization of temperature is desirable in every machine element. Later, we would also see that the three objective functions chosen are conflicting in nature and hence mutually independent. For the current optimization problem, a genetic algorithm, Elitist Non-dominating Sorting Genetic Algorithm (NSGA-II) is chosen. And the bearing dimensions, which could be controlled during manufacturing are chosen as the design variables. Multiple constraints are chosen based on the design space and strength considerations. The optimization algorithm is used on a set of commercially available bearings. Pareto fronts are drawn to give the designer a multitude of optimal solutions to choose from. However, in this paper, the knee-point solution is presented, which is one of the optimum solutions. When compared with the commercial bearings, the bearings with optimized dimensions have higher dynamic load carrying capacities and hence longer life. Also, the sensitivity analysis is done to check the robustness of the bearings to manufacturing tolerances in the design variables. Finally, for visualization and as a check for physical plausibility, the radial dimensions of one of the optimized bearings have been shown.
Antiproliferation Effects of Nanophytosome-Loaded Phenolic Compounds From Fruit of Juniperus Polycarpos Against Breast Cancer in Mice Model: Synthesis, Characterization and Therapeutic Effects
Authors: Moeini Soheila , Karimi Ehsan , Oskoueian Ehsan 
Published: November 2021

Abstract
Background: This research was performed to synthesize nanophytosomes-loaded high phenolic fraction (HPF) from Juniperus polycarpos fruit extract and investigate its antiproliferation effects against breast cancer in mice model. Results: The nanophytosomes-loaded HPF from Juniperus polycarpos fruit extract was synthesized. The mice trial was conducted to determine the possible toxic effects of the synthesized nanophytosomes. The anticancer, pro-apoptotic, and antioxidative activities of the nanophytosomes were determined. The nanophytosomes-loaded HPF had a spherical structure with a size of 176 nm and a polydispersity index coefficient of 0.24. The in-vivo study manifested that nanophytosomes-loaded HPF significantly improved weight gain and food intake compared to the negative control group (p<0.05). The nanophytosomes-loaded HPF significantly enhanced the expression of bax (3.4-fold) and caspase-3 (2.7-fold) genes but reduced bcl2 (3.6-fold) gene expression in tumor cells. The average tumor size was significantly decreased in mice treated with nanophytosomes-loaded HPF (p<0.05). The expression of GPX (2.3-fold) and SOD (2.7-fold) antioxidants in the liver of mice supplemented with nanophytosomes-loaded HPF was significantly developed compared to the negative control (p<0.05). The nanophytosomes-loaded HPF did not show toxicity on normal cells. Conclusion: Our results indicated that nanophytosomes-loaded HPF might be a potential anticancer agent for the breast cancer treatment.
Drug-Loaded Liposomal Spherical Nucleic Acid as an Effective Cancer Nanovaccine
Authors: Deng Bo , Ma Bing , Ma Yingying , Cao Pei , Leng Xigang , Huang Pengyu , Ji Tianjiao , Lu Xueguang , Liu Lanxia 
Published: November 2021

Abstract
Background: Cancer nanovaccine has become a promising approach for cancer immunotherapy. The major challenge of cancer vaccines is limited efficacy caused by lack of desirable tumor specific antigens (TSA). Chemotherapeutics can trigger immunogenic cell death (ICD) and release TSAs, which initiate tumor-specific immune responses. However, ICD-triggered immune responses are usually not potent enough to eliminate the tumor cells. Herein, we developed liposomal spherical nucleic acids (SNA) that can simultaneously deliver and release doxorubicin (DOX) and CpG oligonucleotides upon biological stimuli in tumors to augment antitumor immune responses. Results: SNA nanoparticle increased DOX accumulation at the tumor tissue to induce tumor cells apoptosis and autophagy to activate both ICD-triggered and autophagy-mediated Th1-type immune responses. Meanwhile, CpG, which was co-delivered with DOX, functioned synergistically to potentiate the antitumor immune responses. These nanoparticles effectively inhibited tumor growth and extended animal survival of a mouse lymphoma model. Conclusions: This work provided a simple strategy of delivering chemotherapeutics and adjuvants to tumors to improve immunotherapeutic efficacy of nanovaccines.