Miracle-dz/UniFAR-FTUs huggingface dataset:
Longitudinal psychosocial adjustment of women to human papillomavirus infection

AIM The aim of this study was to examine the psychosocial adjustment trajectory, focusing on psychological distress, sexual relationships and healthcare information, and factors which have an impact on adjustment on receiving a positive diagnosis of human papillomavirus infection. BACKGROUND Human papillomavirus is a common sexually transmitted infection in females. To date, knowledge of the longitudinal psychosocial response to the diagnosis of human papillomavirus is limited. DESIGN A prospective longitudinal design was conducted with a convenience sample. METHODS Women aged 20-65 years old were followed at one, 6 and 12 months after a diagnosis of HPV. Participants completed measures of initial emotional distress and followed up psychosocial adjustment. A mixed-effects model was applied to analyse the longitudinal changes in psychosocial adjustment. RESULTS Seventy human papillomavirus positive women participated in the study with nearly 20% of the women reporting emotional distress during their first visit. Mixed-effects model analyses showed that a trajectory of psychosocial adjustment in healthcare orientation, sexual relationship and psychosocial distress occur from one to 6 months after HPV diagnosis. However, a declining trend from 6 to 12 months was significant in healthcare orientation. Initial emotional distress was associated with changes in psychological adjustment. CONCLUSIONS Psychosocial adjustment to human papillomavirus was worse at 1 month compared with 6 and 12 months after diagnosis. Healthcare providers should offer health information and psychosocial support to women according to their disease progression.
Human Cytomegalovirus Productively Replicates In Vitro in Undifferentiated Oral Epithelial Cells

The ocular epithelial cells currently used to study HCMV infections in vitro have historical significance based upon their role in retinitis, an HCMV disease most often seen in AIDS patients. However, with the successful implementation of highly active antiretroviral therapy (HAART) regimens, the incidence of HCMV retinitis has rapidly declined, and therefore, the relevance of studying ocular epithelial cell HCMV infection has decreased as well. Our introduction here of oral epithelial cells provides two alternative in vitro models for the study of HCMV infection that complement and extend the physiologic relevance of the ocular system currently in use. ABSTRACT Human cytomegalovirus (HCMV) productive replication in vitro is most often studied in fibroblasts. In vivo, fibroblasts amplify viral titers, but transmission and pathogenesis require the infection of other cell types, most notably epithelial cells. In vitro, the study of HCMV infection of epithelial cells has been almost exclusively restricted to ocular epithelial cells. Here we present oral epithelial cells with relevance for viral interhost transmission as an in vitro model system to study HCMV infection. We discovered that HCMV productively replicates in normal oral keratinocytes (NOKs) and telomerase-immortalized gingival cells (hGETs). Our work introduces oral epithelial cells for the study of HCMV productive infection, drug screening, and vaccine development. IMPORTANCE The ocular epithelial cells currently used to study HCMV infections in vitro have historical significance based upon their role in retinitis, an HCMV disease most often seen in AIDS patients. However, with the successful implementation of highly active antiretroviral therapy (HAART) regimens, the incidence of HCMV retinitis has rapidly declined, and therefore, the relevance of studying ocular epithelial cell HCMV infection has decreased as well. Our introduction here of oral epithelial cells provides two alternative in vitro models for the study of HCMV infection that complement and extend the physiologic relevance of the ocular system currently in use.
Oral Health and Self-Perception in the Elderly

Background: Investigating self-perception of oral health among the elderly may contribute towards changing public health and assistance policies in the area. Methods: The present study assessed the oral health status (tooth decay, need for treatment, periodontal status, use of and need for dental prosthesis, soft tissue alterations and self-perception of oral health) of 102 elderly people from two community groups in Fortaleza, Ceara State, Brazil. Results: Mean age was 69.9 years and 82.4% were female. Mean DMFT was 30.17 with a predominant missing component; 63.7% were edentulous. Regarding prosthesis, 29.4% and 67.6% of elderly patients did not use upper and lower dentures respectively, while 66.7% and 78.4% required some type of upper and lower prosthesis respectively. Among valid sextants, 44.3% presented dental calculus and 34.3% presented loss of attachment from 6 to 8 mm. Soft tissue alterations were found in 58.8%. Despite of precarious clinical conditions and dental treatment needs, good oral health perception was found (49%), as well as satisfaction with the appearance of teeth and gums (60.8%). Conclusion: Subjects displayed unsatisfactory oral health conditions, accumulated over time and resulting from the lack of policies favoring this age group. There is a need for oral rehabilitation that enables the recovery of function and esthetics among the elderly, restoring their self-esteem and improving social interaction.
Blindness to Curvature and Blindness to Illusory Curvature

We compare two versions of two known phenomena, the Curvature blindness and the Kite mesh illusions, to highlight how similar manipulations lead to blindness to curvature and blindness to illusory curvature, respectively. The critical factor is a change in luminance polarity; this factor interferes with the computation of curvature along the contour, for both real and illusory curvature.
Splenectomy Leads to Amelioration of Altered Gut Microbiota and Metabolome in Liver Cirrhosis Patients

Dysbiosis of gut microbiota and metabolome is a frequently encountered condition in liver cirrhosis (LC) patients. The severity of liver dysfunction was found to be correlated with the degree of microbial dysbiosis. Several clinical studies have indicated liver function improvement after therapeutic splenectomy for LC-induced hypersplenism. We sought to determine whether such post-splenectomy outcome is pertinent to modulation of the abnormal gut microenvironment in LC patients. A cross-sectional study including 12 LC patients and 16 healthy volunteers was first conducted, then a before–after study in the cohort of patients was carried out before and 6 months after splenectomy. Fecal samples were collected in hospital. Temporal bacterial (n = 40) and metabolomics (n = 30) profiling was performed using 16s rRNA gene sequencing and ultra performance liquid chromatography/mass spectrometer (UPLC/MS), respectively. Our results revealed that microbial composition in patients was clearly different from that in healthy controls (HCs), evidenced by considerable taxonomic variation. Along with improved liver function (Child–Pugh score), the patients also displayed similar gut microbiota profile and predicted metagenome function to that of HCs after splenectomy. Enterobacteriaceae and Streptococcaceae, two LC-enriched families showing positive relation with Child–Pugh score, exhibited significantly decreased abundance after splenectomy. At the genus level, 11 genera were differentially abundant between patients and HCs, but 9 genera of them restituted to normal levels by certain degree after splenectomy. PICRUSt analysis showed that the relative abundance of 17 KEGG pathways was partially restored after splenectomy. Four of them were amino acid-related pathways: lysine degradation, tryptophan degradation, amino acid metabolism, and protein digestion and absorption. These findings were supported by metabonomics results which showed that relative abundance of amino acid and corresponding catabolites changed toward normal. In addition to the variations in the relative abundances of bacteria and metabolites, the correlation between them also altered in patients after splenectomy. Dysbiosis in gut microbiome and related metabolism of LC patients was partially corrected after splenectomy. Whether the improved gut microenvironment could prevent LC-related complications and delay the progress of LC is a propitious objective for future study. Trial registration: ChiCTR-OOB-15007409. Registered November 15, 2015.
Understanding Why Pictorial Cigarette Pack Warnings Increase Quit Attempts.

BACKGROUND Our randomized trial found that pictorial cigarette pack warnings elicited more quit attempts than text-only warnings. PURPOSE In the current study, we sought to identify psychological mechanisms that explain why pictorial cigarette pack warnings change behavior. METHODS In 2014 and 2015, we recruited 2,149 adult smokers in NC and CA, USA. We randomly assigned smokers to receive on their cigarette packs for 4 weeks either a text-only warning (one of the USA's current warnings on the side of cigarette packs) or a pictorial warning (one of the USA's proposed text warnings with pictures on the top half of the front and back of cigarette packs). RESULTS Pictorial warnings increased attention to, reactions to, and social interactions about cigarette pack warnings (all p < .05). However, pictorial warnings changed almost no belief or attitude measures. Mediators of the impact of pictorial warnings included increased attention, negative affect, social interactions, thinking about the warning and harms of smoking, and intentions to quit (all p < .05). Analyses also found that pictorial warnings led to greater avoidance of the warnings, which was associated with more quit attempts (p < .05). CONCLUSIONS Pictorial warnings increased quit attempts by eliciting aversive reactions and by keeping the message vividly in smokers' minds. Contrary to predictions from several theories of health behavior, the warnings exerted little of their influence through changes in beliefs and attitudes and none of their influence through changes in risk perception. We propose the Tobacco Warnings Model based on these findings. CLINICAL TRIAL INFORMATION ClinicalTrials.gov identifier: NCT02247908; https://clinicaltrials.gov/ct2/show/NCT02247908.
Running TCP over IS-2000

We analyze the effects of TCP algorithms on data transmission over IS-2000 links. We give details of our experience in emulating TCP over IS-2000 and discuss how bit errors and bandwidth oscillation can disturb TCP performance. We show that significant TCP throughput increase can be achieved by modifying the default TCP (and RLP) settings especially in the case of some "finite burst" modes of data transmission.
Circulating miRNAs as biomarkers in diffuse large B-cell lymphoma: a systematic review

Diffuse large B-cell lymphoma (DLBCL) is an aggressive and heterogeneous malignancy, with highly variable outcomes among patients. Although classification and prognostic tools have been developed, standard therapy still fails in 30-40% of patients. Hence, identification of novel biomarkers is needed. Recently, circulating microRNAs (miRNAs) have been suggested as non-invasive biomarkers in cancer. Our aim was to review the potential role of circulating miRNAs as biomarkers for diagnosis, classification, prognosis, and treatment response in DLBCL. We performed a search in PubMed using the terms [((‘Non-coding RNA’) OR (‘microRNA’ OR ‘miRNA’ OR ‘miR’) OR (‘exosome’) OR (‘extracellular vesicle’) OR (‘secretome’)) AND (‘Diffuse large B cell lymphoma’ OR ‘DLBCL’)] to identify articles that evaluated the impact of circulating miRNAs as diagnosis, subtype, treatment response or prognosis biomarkers in DLBCL in human population. Among the twelve articles that met the inclusion criteria, eleven considered circulating miRNAs as biomarkers for diagnosis, two for classification, and five for prognosis or treatment response. The limited number of studies performed and lack of consistency in results make it difficult to draw conclusions about the role of circulating miRNAs as non-invasive biomarkers in DLBCL. Although the preliminary associations observed seem promising, the only consistent result is the upregulation of mir-21 in DLBCL patients, which could be a biomarker for diagnosis. Further studies are needed.
An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

Automatic extraction of features from MRI brain scans and diagnosis of Alzheimer's Disease (AD) remain a challenging task. In this paper, we propose an efficient and simple three-dimensional convolutional network (3D ConvNet) architecture that is able to achieve high performance for detection of AD on a relatively large dataset. The proposed 3D ConvNet consists of five convolutional layers for feature extraction, followed by three fully-connected layers for AD/NC classification. The main contributions of the paper include: (a) propose a novel and effective 3D ConvNet architecture; (b) study the impact of hyper-parameter selection on the performance of AD classification; (c) study the impact of pre-processing; (d) study the impact of data partitioning; (e) study the impact of dataset size. Experiments conducted on an ADNI dataset containing 340 subjects and 1198 MRI brain scans have resulted good performance (with the test accuracy of 98.74%, 100% AD detection rate and 2,4% false alarm). Comparisons with 7 existing state-of-the-art methods have provided strong support to the robustness of the proposed method.
Evaluation of basic properties of soil and major nutrient in soils of jhabua district of madhya pradesh

An experiment was conducted during the kharif seasons of 2014-15 under All India Coordinated Research Project for Dry land Agriculture at College of Agriculture, Indore Madhya Pradesh to study the major nutrient and other chemical properties of sampled vertisols and associated soils of Ralyawan village of Jhabua district of western Madhya Pradesh. Results showed that the Soils of Ralyawan village in Jhabua district of Madhya Pradesh were low in available nitrogen, low to medium available phosphorous and medium to high level in available potassium. Available nitrogen content in soils of Ralyawan village ranged from 152 to 298 kg ha1 with an average of 236 kg ha Nutrient index values was in low fertility class in soil of village. Thus, the overall poor and or low status of available nitrogen was observed in this soil. The status of available phosphorous varied from 7.15 to 38.8 kg ha1 with a mean value of 16.4 kg ha1. The 22.47% village soil samples from the study area can be classified as low fertility class and 64.84 % in medium fertility class. The nutrient index value for P was in medium fertility class of village. The status of available potassium varied from 179 to 826 kg ha1 with a mean value of 418 kg ha1. The 0% village soil samples under the study were classified as low fertility class, 2.30% as medium and 97.69% as high fertility class. The pH of varied from 7 to 8 with the mean value of 7.5. The electrical conductivity of soil water suspension ranged from 0.17 to 0.86 dSm1 with a mean value of 0.37 dSm1. The variation in organic carbon content in this soil was from 0.23% to 0.80% with a mean value of 0.53%. In general, the organic carbon status of Ralyawan village soils of was low to medium.
Improved Random Forest for Classification

We propose an improved random forest classifier that performs classification with a minimum number of trees. The proposed method iteratively removes some unimportant features. Based on the number of important and unimportant features, we formulate a novel theoretical upper limit on the number of trees to be added to the forest to ensure improvement in classification accuracy. Our algorithm converges with a reduced but important set of features. We prove that further addition of trees or further reduction of features does not improve classification performance. The efficacy of the proposed approach is demonstrated through experiments on benchmark data sets. We further use the proposed classifier to detect mitotic nuclei in the histopathological data sets of breast tissues. We also apply our method on the industrial data set of dual-phase steel microstructures to classify different phases. Results of our method on different data sets show significant reduction in an average classification error compared with a number of competing methods.
Conception of a Lego Mindstorms EV3 simulation for teaching C in computer science courses

Based on the didactical concept that was developed to integrate a robot-platform into teaching and learning of Computer Science in engineering courses at the university of Applied Sciences Aschaffenburg the Lego Mindsorms EV3 [1] robots were integrated into the practical lessons. In these Computer Science lessons the students (Bachelor of Engineering) learn the programming-language ANSI C. To program the robots in this language a dedicated toolchain [2] was developed. A major problem that was mentioned many times in a regular semester evaluation, after integrating the EV3, is the fact that the students cannot use the robots outside of the laboratory. So they are not able to learn and program the EV3 independently from the laboratory opening hours and practical lessons. To solve this problem and improve the success with this platform, it will now be analysed if a simulation could advance the process of deepening the learned skills in practical and theoretical computer science lessons. Also a concept for the realisation of such a simulation will be shown. This will be done based on the developed didactical concept for integrating a robot-platform in teaching and learning of Computer Science in engineering courses [3].
Chlorine Adsorption on Graphene: Chlorographene

We perform first-principles structure optimization, phonon frequency, and finite temperature molecular dynamics calculations based on density functional theory to study the interaction of chlorine atoms with graphene predicting the existence of possible chlorinated graphene derivatives. The bonding of a single chlorine atom is ionic through the transfer of charge from graphene to chlorine adatom and induces negligible local distortion in the underlying planar graphene. Different from hydrogen and fluorine adatoms, the migration of a single chlorine adatom on the surface of perfect graphene takes place almost without barrier. However, the decoration of one surface of graphene with Cl adatoms leading to various conformations cannot be sustained due to strong Cl–Cl interaction resulting in the desorption through the formation of Cl2 molecules. On the contrary, the fully chlorinated graphene, chlorographene CCl, where single chlorine atoms are bonded alternatingly to each carbon atom from different sides of g.
A theta rhythm in macaque visual cortex and its attentional modulation

Significance Theta rhythms, ≈3–8 Hz, have been found in many different parts of the brain. They are predominant in the rodent hippocampus, yet have also been described in the neocortex, primarily in frontal and parietal areas in relation to executive functions. Here, we show a ≈4-Hz theta rhythm in awake macaque monkey area V4 and primary visual cortex. This theta rhythm was spatially coextensive with visually induced gamma-band activity, and gamma power was modulated by theta phase. The strength of theta and of theta-rhythmic gamma modulation was markedly reduced by selective attention. Theta rhythmicity has been observed in microsaccade sequences, and microsaccades influence early visual activity. Yet, removing (the effects of) microsaccades did not influence the results. Theta rhythms govern rodent sniffing and whisking, and human language processing. Human psychophysics suggests a role for theta also in visual attention. However, little is known about theta in visual areas and its attentional modulation. We used electrocorticography (ECoG) to record local field potentials (LFPs) simultaneously from areas V1, V2, V4, and TEO of two macaque monkeys performing a selective visual attention task. We found a ≈4-Hz theta rhythm within both the V1–V2 and the V4–TEO region, and theta synchronization between them, with a predominantly feedforward directed influence. ECoG coverage of large parts of these regions revealed a surprising spatial correspondence between theta and visually induced gamma. Furthermore, gamma power was modulated with theta phase. Selective attention to the respective visual stimulus strongly reduced these theta-rhythmic processes, leading to an unusually strong attention effect for V1. Microsaccades (MSs) were partly locked to theta. However, neuronal theta rhythms tended to be even more pronounced for epochs devoid of MSs. Thus, we find an MS-independent theta rhythm specific to visually driven parts of V1–V2, which rhythmically modulates local gamma and entrains V4–TEO, and which is strongly reduced by attention. We propose that the less theta-rhythmic and thereby more continuous processing of the attended stimulus serves the exploitation of this behaviorally most relevant information. The theta-rhythmic and thereby intermittent processing of the unattended stimulus likely reflects the ecologically important exploration of less relevant sources of information.
Environmental Sources of Bacteria Differentially Influence Host-Associated Microbial Dynamics

These results provide valuable insights into the ecological influence of exogenous microbial exposure, as well as laying the foundation for improving aquarium management practices. By comparing data for dolphins from aquaria that use natural versus artificial seawater, we demonstrate the potential influence of aquarium water disinfection procedures on dolphin microbial dynamics. ABSTRACT Host-associated microbial dynamics are influenced by dietary and immune factors, but how exogenous microbial exposure shapes host-microbe dynamics remains poorly characterized. To investigate this phenomenon, we characterized the skin, rectum, and respiratory tract-associated microbiota in four aquarium-housed dolphins daily over a period of 6 weeks, including administration of a probiotic during weeks 4 to 6. The environmental bacterial sources were also characterized, including the animals’ human handlers, the aquarium air and water, and the dolphins’ food supply. Continuous microbial exposure occurred between all sites, yet each environment maintained a characteristic microbiota, suggesting that the majority of exposure events do not result in colonization. Small changes in water physicochemistry had a significant but weak correlation with change in dolphin-associated bacterial richness but had no influence on phylogenetic diversity. Food and air microbiota were the richest and had the largest conditional influence on other microbiota in the absence of probiotics, but during probiotic administration, food alone had the largest influence on the stability of the dolphin microbiota. Our results suggest that respiratory tract and gastrointestinal epithelium interactions with air- and food-associated microbes had the biggest influence on host-microbiota dynamics, while other interactions, such as skin transmission, played only a minor role. Finally, direct oral stimulation with a foreign exogenous microbial source can have a profound effect on microbial stability. IMPORTANCE These results provide valuable insights into the ecological influence of exogenous microbial exposure, as well as laying the foundation for improving aquarium management practices. By comparing data for dolphins from aquaria that use natural versus artificial seawater, we demonstrate the potential influence of aquarium water disinfection procedures on dolphin microbial dynamics.