Miracle-dz/UniFAR-FTUs huggingface dataset:
Big Data And Hadoop: A Review Paper

In this world of information the term BIG DATA has emerged with new opportunities and challenges to deal with the massive amount of data. BIG DATA has earned a place of great importance and is becoming the choice for new researches. To find the useful information from massive amount of data to organizations, we need to analyze the data. Mastery of data analysis is required to get the information from unstructured data on the web in the form of texts, images, videos or social media posts. This paper presents an overview on Big Data, Advantages and its scope for the future research. Big Data present opportunities as well as challenges to the researchers. An overview on opportunities to healthcare, technology etc. is given. This paper gives an introduction to Hadoop and its components. This paper also concentrates on application of Big Data in Data Mining.
Differences in gut microbiome by insulin sensitivity status in Black and White women of the National Growth and Health Study (NGHS): A pilot study

The prevalence of overweight and obesity is greatest amongst Black women in the U.S., contributing to disproportionately higher type 2 diabetes prevalence compared to White women. Insulin resistance, independent of body mass index, tends to be greater in Black compared to White women, yet the mechanisms to explain these differences are not completely understood. The gut microbiome is implicated in the pathophysiology of obesity, insulin resistance and cardiometabolic disease. Only two studies have examined race differences in Black and White women, however none characterizing the gut microbiome based on insulin sensitivity by race and sex. Our objective was to determine if gut microbiome profiles differ between Black and White women and if so, determine if these race differences persisted when accounting for insulin sensitivity status. In a pilot cross-sectional analysis, we measured the relative abundance of bacteria in fecal samples collected from a subset of 168 Black (n = 94) and White (n = 74) women of the National Growth and Health Study (NGHS). We conducted analyses by self-identified race and by race plus insulin sensitivity status (e.g. insulin sensitive versus insulin resistant as determined by HOMA-IR). A greater proportion of Black women were classified as IR (50%) compared to White women (30%). Alpha diversity did not differ by race nor by race and insulin sensitivity status. Beta diversity at the family level was significantly different by race (p = 0.033) and by the combination of race plus insulin sensitivity (p = 0.038). Black women, regardless of insulin sensitivity, had a greater relative abundance of the phylum Actinobacteria (p = 0.003), compared to White women. There was an interaction between race and insulin sensitivity for Verrucomicrobia (p = 0.008), where among those with insulin resistance, Black women had four fold higher abundance than White women. At the family level, we observed significant interactions between race and insulin sensitivity for Lachnospiraceae (p = 0.007) and Clostridiales Family XIII (p = 0.01). Our findings suggest that the gut microbiome, particularly lower beta diversity and greater Actinobacteria, one of the most abundant species, may play an important role in driving cardiometabolic health disparities of Black women, indicating an influence of social and environmental factors on the gut microbiome.
A review of autonomous docking technologies for an unmanned aircraft carrier

Aerial carrier is becoming a hotspot in Remote Piloted Aircraft System (RPAS) research area recently. As a variant of the general RPAS swarm, this technology is believed to be promising in both military and civilian applications. For example, it could enhance the safety of a military surveillance mission, it could enlarge the surveillance region coverage and it could extend the communication range of any single RPAS. One essential problem for the realisation of the aerial carrier is the autonomous docking in the air. This paper presents a re-view of autonomous docking techniques ranging from active LED recognition to passive laser scanning and three-dimensional (3D) remodelling. It is aimed at providing a broad perspective on the statues of the recogni-tion and position estimation problems.
Maximum Constant Boost Control of Quasi-Z-source Inverter Based on SVPWM

Compared to traditional Z-source inverter,the quasi-Z-source inverter has the advantage of low Z-source capacitor voltage stress.But the simple boost control for quasi-Z-source inverter has the disadvantage of doubles switching frequency and increases voltage stress.An maximum constant control method based on SVPWM for the quasi-Z-source inverter was proposed.In comparison with simple boost control,not only switching frequency can be reduced but also the voltage of the switching device can be lessened.The maximum constant shoot-through time in SVPWM was derived and its relationship with modulation index was analyzed;afterwards the operation principle was investigated.In the end,simulation and experimental results are presented to validate the new features of the improved strategy.
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training

Language-based environment manipulation requires agents to manipulate the environment following natural language instructions, which is challenging due to the huge space of the environments. To address this challenge, various approaches have been proposed in recent work. Although these approaches work well for their intended environments, they are difficult to generalize across environments. In this work, we propose LEMON, a general framework for language-based environment manipulation tasks. Specifically, we first specify a task-agnostic approach for language-based environment manipulation tasks, which can deal with various environments using the same generative language model. Then we propose an execution-guided pre-training strategy to inject prior knowledge of environments to the language model with a pure synthetic pre-training corpus. Experimental results on tasks including Alchemy, Scene, Tangrams, ProPara and Recipes demonstrate the effectiveness of LEMON: it achieves new state-of-the-art results on four of the tasks, and the execution-guided pre-training strategy brings remarkable improvements on all experimental tasks.
Novel insights into Pinus species plastids genome through phylogenetic relationships and repeat sequence analysis

Pinus is one of the most economical and ecological important conifers, model specie for studying sequence divergence and molecular phylogeney of gymnosperms. The less availability of information for genome resources enable researchers to conduct evolutionary studies of Pinus species. To improve understanding, we firstly reported, previously released chloroplast genome of 72 Pinus species, the sequence variations, phylogenetic relationships and genome divergence among Pinus species. The results displayed 7 divergent hotspot regions (trnD-GUC, trnY-GUA, trnH-GUG, ycf1, trnL-CAA, trnK-UUU and trnV-GAC) in studied Pinus species, which holds potential to utilized as molecular genetic markers for future phylogenetic studies in Pinnus species. In addition, 3 types of repeats (tandem, palindromic and dispersed) were also studied in Pinus species under investigation. The outcome showed P. nelsonii had the highest, 76 numbers of repeats, while P. sabiniana had the lowest, 13 13 numbers of repeats. It was also observed, constructed phylogenetic tree displayed division into two significant diverged clades: single needle (soft pine) and double-needle (hard pine). Theoutcome of present investigation, based on the whole chloroplast genomes provided novel insights into the molecular based phylogeny of the genus Pinus which holds potential for its utilization in future studies focusing genetic diversity in Pinnus species.
Automatic Aortic Valve Cusps Segmentation from CT Images Based on the Cascading Multiple Deep Neural Networks

Accurate morphological information on aortic valve cusps is critical in treatment planning. Image segmentation is necessary to acquire this information, but manual segmentation is tedious and time consuming. In this paper, we propose a fully automatic aortic valve cusps segmentation method from CT images by combining two deep neural networks, spatial configuration-Net for detecting anatomical landmarks and U-Net for segmentation of aortic valve components. A total of 258 CT volumes of end systolic and end diastolic phases, which include cases with and without severe calcifications, were collected and manually annotated for each aortic valve component. The collected CT volumes were split 6:2:2 for the training, validation and test steps, and our method was evaluated by five-fold cross validation. The segmentation was successful for all CT volumes with 69.26 s as mean processing time. For the segmentation results of the aortic root, the right-coronary cusp, the left-coronary cusp and the non-coronary cusp, mean Dice Coefficient were 0.95, 0.70, 0.69, and 0.67, respectively. There were strong correlations between measurement values automatically calculated based on the annotations and those based on the segmentation results. The results suggest that our method can be used to automatically obtain measurement values for aortic valve morphology.
Clinicopathological significance of CBX3 in colorectal cancer: An intensive expression study based on formalin‐fixed and paraffin‐embedded tissues

CBX3 is an isoform of the heterochromatin protein 1 family, which is involved in carcinogenesis and promotes the progression of certain types of cancer. The expression level and clinicopathological significances of CBX3 in colorectal cancer (CRC) are still not well reported. In this study, we examined CBX3 protein expression in formalin‐fixed and paraffin‐embedded normal mucosae, hyperplastic polyps, low‐and high‐grade adenomas, and CRC tissue samples using immunohistochemistry. The associations of CBX3 expression levels with clinicopathological parameters, mismatch repair (MMR) protein expression, and kirsten rat sarcoma viral oncogene homolog (KRAS) and B‐raf proto‐oncogene (BRAF) mutations were analyzed. Our results showed that CBX3 protein was negatively expressed in normal mucosae and hyperplastic polyps, as well as in most low‐grade adenomas. Interestingly, CBX3 protein was positively expressed in most high‐grade adenomas and CRC tissues. CBX3 expression level was associated with tumor differentiation (p = 0.012), lymph node metastasis (p = 0.024), TNM stage (p = 0.008) and survival (p = 0.029). CBX3 expression was associated with MMR protein expression (p = 0.011) and KRAS mutation (p = 0.013), but not with BRAF mutation (p = 0.097). Our data suggest that CBX3 may be used as a molecular marker in CRC to evaluate tumor differentiation, lymph node metastasis, and pathological stage.
The impact of different IPV-OPV sequential immunization programs on hepatitis A and hepatitis B vaccine efficacy

ABSTRACT In recent years, the Global Polio Eradication Initiative has gradually implemented a global shift in polio immunization programs. Few studies cover polio immunization program impacts on the efficacy of other vaccines. This study investigated whether polio immunization programs affected hepatitis A (HepA) and hepatitis B (HepB) vaccination efficacy. Serum samples were collected from 968 infants before the first dose of polio vaccine, 28 days after completing primary polio immunization, and at 24 months old. Infants were classified into six polio immunization program groups: 1sIPV+2bOPV, 2sIPV+1bOPV, 2sIPV+1tOPV, 1cIPV+2bOPV, 2cIPV+1bOPV, and 2cIPV+1tOPV (sIPV: Sabin inactivated poliovirus vaccine; cIPV: Salk inactivated poliovirus vaccine; b, bivalent; t, trivalent; OPV, oral polio vaccine). No significant differences existed in antibody titers against HepA virus (anti-HAV) among the polio immunization program groups at any of the three time points (pre-first dose [p = 0.412], 28 days after primary immunization [p = 0.676], 24 months old [p = 0.556]). Before the first dose (p = 0.178) and at age 24 months (p = 0.987), no significant differences existed in HepB surface antibody (HBsAb) titers between the six polio immunization program groups). Twenty-eight days after primary immunization, no significant difference existed in HBsAb titers between groups after Bonferroni correction. Following HepA and HepB immunization, anti-HAV and HBsAb positivity reached > 98% in all groups, reflecting effective immunization. Our data suggest that different polio immunization programs did not affect HepA and HepB vaccine efficacy; HepA and HepB vaccines maintained high effectiveness irrespective of polio immunization program. This trial was registered on Clinical Trials.gov: NCT03614702.
Capturing mechanisms of change: Weekly covariation in anger regulation, hostile intent attribution, and children's aggression

Abstract Interventions for children's aggression typically target assumed underlying mechanisms, such as anger regulation and hostile intent attribution. The expectation here is that targeting these mechanisms will result in within‐person changes in aggression. However, evidence for these mechanisms is mostly based on between‐person analyses. We, therefore, examined whether within‐person changes in adaptive anger regulation and hostile intent attribution covaried with within‐person changes in children's aggression. Children (N = 223; age 7–12; 46% boys) filled out four weekly report measures to assess adaptive anger regulation, hostile intent attribution, and aggression. The psychometric properties of these novel measures were adequate. Results of multi‐level analyses revealed within‐person effects: weekly changes in adaptive anger regulation and hostile intent attribution covaried with changes in children's aggression. This corresponded with between‐person findings on the same data: children with lower levels of adaptive anger regulation and higher levels of hostile intent attribution reported more aggression than other children. These findings support the idea that targeting anger regulation and hostile intent attribution in interventions may lead to changes in individual children's aggression.
Proposed parameters of optimal central incisor positioning in orthodontic treatment planning: A systematic review

Objective Planning of incisal position is crucial for optimal orthodontic treatment outcomes due to its consequences on facial esthetics and occlusion. A systematic summary of the proposed parameters is presented. Methods Studies on Google Scholar©, PubMed©, and Cochrane Library, providing quantitative information on optimal central incisor position were included. Results Upper incisors supero-inferior position (4–5 mm to upper lip, 67–73 mm to axial plane through pupils), antero-posterior position (3–4 mm to Nasion-A, 3–6 mm to A-Pogonion, 9–12 mm to true vertical line, 5 mm to A-projection, 9–10 mm to coronal plane through pupils), bucco-lingual angulation (4–7° to occlusal plane perpendicular on models, 20–22° to Nasion-A, 57–58° to upper occlusal plane, 16–20° to coronal plane through pupils, 108–110° to anterior-posterior nasal spine), mesio-distal angulation (5° to occlusal plane perpendicular on models). Lower incisors supero-inferior position (41–48 mm to soft-tissue mandibular plane), antero-posterior position (3–4 mm to Nasion-B, 1–3 mm to A-Pogonion, 12–15 mm to true vertical line, 6–8 mm to coronal plane through pupils), bucco-lingual angulation (1-4° to occlusal plane perpendicular on models, 87–94° to mandibular plane, 68° to Frankfurt plane, 22–25° to Nasion-B, 105° to occlusal plane, 64° to lower occlusal plane, 21° to A-Pogonion), mesio-distal angulation (2° to occlusal plane perpendicular on models). Conclusions Although these findings can provide clinical guideline, they derive from heterogeneous studies in terms of subject characteristics and reference methods. Therefore, the optimal incisal position remains debatable.
Output Decoupling control of 6-DOF Parallel manipulator

6-DOF Parallel manipulator is a nonlinear MIMO system,and its pose outputs are strongly coupled.Using feedback linearization and linear PD control,only translational motions are decoupled and the rotational motions still exist couplings. To fully decouple the outputs of parallel manipulator,a new decoupling controller based on feedback linearization is presented.Using this controller,rotational motions as well as translational motions are decoupled,and the effectiveness of the decoupling controller is validated through simulation.
Small RNA populations reflect the complex dialogue established between heterograft partners in grapevine

Abstract Grafting is an ancient method that has been intensively used for the clonal propagation of vegetables and woody trees. Despite its importance in agriculture the physiological and molecular mechanisms underlying phenotypic changes of plants following grafting are still poorly understood. In the present study, we analyse the populations of small RNAs in homo and heterografts and take advantage of the sequence differences in the genomes of heterograft partners to analyse the possible exchange of small RNAs. We demonstrate that the type of grafting per se dramatically influences the small RNA populations independently of genotypes but also show genotype specific effects. In addition, we demonstrate that bilateral exchanges of small RNAs, mainly short interfering RNAs, may occur in heterograft with the preferential transfer of small RNAs from the scion to the rootstock. Altogether, the results suggest that small RNAs may have an important role in the phenotype modifications observed in heterografts.
Neurite density imaging in amygdala nuclei reveals interindividual differences in neuroticism

Neuroticism is known to have significant health implications. While previous research revealed that interindividual differences in the amygdala function are associated with interindividual differences in neuroticism, the impact of the amygdala’s structure and especially microstructure on variations in neuroticism remains unclear. Here, we present the first study using NODDI to examine the association between the in vivo microstructural architecture of the amygdala and neuroticism at the level of neurites. We, therefore, acquired brain images from 221 healthy participants using advanced multi‐shell diffusion‐weighted imaging. Because the amygdala comprises several nuclei, we, moreover, used a high‐resolution T1 image to automatically segment the amygdala into eight different nuclei. Neuroticism and its facets have been assessed using the NEO‐PI‐R. Finally, we associated neuroticism and its facets with the volume and microstructure of the amygdala nuclei. Statistical analysis revealed that lower neurite density in the lateral amygdala nucleus (La) was significantly associated with higher scores in depression, one of the six neuroticism facets. The La is the sensory relay of the amygdala, filtering incoming information based on previous experiences. Reduced neurite density and related changes in the dendritic structure of the La could impair its filtering function. This again might cause harmless sensory information to be misevaluated as threatening and lead to the altered amygdala responsivity as reported in previous studies investigating the functional correlates of neuroticism and neuroticism‐related disorders like depression.
Is Tailoring of PrEP Programs Needed to Overcome Racial Disparities in PrEP Uptake in Local Health Departments? A Mixed-Methods Evaluation of PrEP Implementation in Virginia

Context: African American and Hispanic adults share a disproportionate burden of HIV infections in the United States but continue to experience suboptimal uptake of HIV pre-exposure prophylaxis (PrEP). Increasing PrEP accessibility in nontraditional care settings is a potential strategy to increase PrEP uptake in these high-risk groups. PrEP implementation in local health departments (LHDs) is not well characterized. Objective: To evaluate HIV PrEP implementation for African American and Hispanic adults receiving medical care in Virginia's LHDs. Design: We conducted a retrospective, mixed-methods evaluation of PrEP services implementation at LHDs completing their first PrEP program year between June 1, 2016, and June 30, 2019. Using pharmacy records, we estimated PrEP coverage and adherence using PrEP to need ratios (PnRs) and medication possession ratios (MPRs), respectively. Thematic analysis was used to identify barriers to PrEP delivery in interviews with 6 multidisciplinary LHD workers. Results: Of the 433 PrEP clients receiving an emtricitabine/tenofovir disoproxil fumarate (Truvada) prescription in year 1, 52.0% self-identified as African American and 8.9% self-identified as Hispanic. PnRs were greater for White adults in 50.0% of clinics. The average MPR (0.79) was consistent with protective medication adherence levels; however, 25.0% of clients filled only one prescription in the program year. Qualitative findings suggest incompatibilities between health PrEP services delivery and community preferences for African American and Hispanic adults; however, LHDs in one health region were able to link communities of color to PrEP at similar rates as Whites. Conclusions: Incorporating a metric sensitive to racial/ethnic differences in the burden of HIV infection improved recognition of PrEP disparities; however, population-specific targets are needed to enhance use of the PnR for program evaluation. Tailoring of PrEP services to communities with the greatest local PrEP burden may be needed to optimize the effectiveness of PrEP programs in LHDs.
A Review on Damage and Rupture Modelling for Soft Tissues

Computational modelling of damage and rupture of non-connective and connective soft tissues due to pathological and supra-physiological mechanisms is vital in the fundamental understanding of failures. Recent advancements in soft tissue damage models play an essential role in developing artificial tissues, medical devices/implants, and surgical intervention practices. The current article reviews the recently developed damage models and rupture models that considered the microstructure of the tissues. Earlier review works presented damage and rupture separately, wherein this work reviews both damage and rupture in soft tissues. Wherein the present article provides a detailed review of various models on the damage evolution and tear in soft tissues focusing on key conceptual ideas, advantages, limitations, and challenges. Some key challenges of damage and rupture models are outlined in the article, which helps extend the present damage and rupture models to various soft tissues.
Different modes of spacer acquisition by the Staphylococcus epidermidis type III-A CRISPR-Cas system

Abstract CRISPR-Cas systems provide prokaryotic organisms with an adaptive defense mechanism that acquires immunological memories of infections. This is accomplished by integration of short fragments from the genome of invaders such as phages and plasmids, called ‘spacers’, into the CRISPR locus of the host. Depending on their genetic composition, CRISPR-Cas systems can be classified into six types, I-VI, however spacer acquisition has been extensively studied only in type I and II systems. Here, we used an inducible spacer acquisition assay to study this process in the type III-A CRISPR-Cas system of Staphylococcus epidermidis, in the absence of phage selection. Similarly to type I and II spacer acquisition, this type III system uses Cas1 and Cas2 to preferentially integrate spacers from the chromosomal terminus and free dsDNA ends produced after DNA breaks, in a manner that is enhanced by the AddAB DNA repair complex. Surprisingly, a different mode of spacer acquisition from rRNA and tRNA loci, which spans only the transcribed sequences of these genes and is not enhanced by AddAB, was also detected. Therefore, our findings reveal both common mechanistic principles that may be conserved in all CRISPR-Cas systems, as well as unique and intriguing features of type III spacer acquisition.