Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of technology‐enhanced learning in Endodontic education: a systematic review and meta‐analysis

The aim of the present systematic review was to evaluate the effectiveness of technology-enhanced learning (TEL) in the field of Endodontics to improve educational outcomes compared to traditional learning methods. Randomized controlled studies published in English were identified from two electronic databases (PubMed and Scopus) up to May 2018. Two authors independently performed study selection, data extraction and assessed the risk of bias (ROB). Any teaching method using TEL was considered as the intervention, and this was compared to traditional methods. The outcome measuring the effectiveness of learning activities was evaluated by Kirkpatrick's four-level training evaluation model. The four levels of training outcomes are as follows: Reaction, Learning, Behaviour and Results. A meta-analysis was performed to estimate the standardized mean difference (SMD) by the random effects model. In total, 13 studies were included in the systematic review. Only three studies were assessed as 'low' ROB. A meta-analysis could not be performed in the domains of Reaction and Behaviour. No significant difference was observed in knowledge gain (Learning domain) between TEL and traditional methods (SMD, 0.14 (95% CI -0.10 to 0.39) I2 = 62.7%). Similarly, no difference was observed in performance (Behaviour domain). A variable response was found in attitude (Reaction domain). From the available evidence, it can be concluded that TEL is equally as effective as traditional learning methods.
The Thomsen-Friedenreich Antigen-Specific Antibody Signatures in Patients with Breast Cancer

Alterations in the glycosylation of serum total immunoglobulins show these antibodies to have a diagnostic potential for cancer but the disease-related Abs to the tumor-associated antigens, including glycans, have still poorly been investigated in this respect. We analysed serum samples from patients with breast carcinoma (n = 196) and controls (n = 64) for the level of Thomsen-Friedenreich (TF) antigen-specific antibody isotypes, their sialylation, interrelationships, and the avidity by using ELISA with the synthetic TF-polyacrylamide conjugate as an antigen and the sialic acid-specific Sambucus nigra agglutinin (SNA) and ammonium thiocyanate as a chaotrope. An increased sialylation of IgG and IgM, but a lower SNA reactivity of IgA TF antibodies, and a higher level and avidity of the TF-specific IgA were found in cancer patients. Other cancer-related signatures were the highly significant increase of the IgG/IgA ratio and the very low SNA/IgA index in cancer, including patients with an early stage of the disease. These changes showed a good diagnostic potential with about 80% accuracy. Thus, the level of naturally occurring anti-TF antigen antibodies, their sialylation profile, isotype distribution, and avidity displayed cancer-specific changes that could serve as novel noninvasive Ab-based biomarkers for early breast cancer.
Validation of rapid 4-component body composition assessment with the use of dual-energy X-ray absorptiometry and bioelectrical impedance analysis

Abstract Background The 4-component (4C) model is a criterion method for human body composition that separates the body into fat, water, mineral, and protein, but requires 4 measurements with significant cost and time requirements that preclude wide clinical use. A simplified model integrating only 2 measurements—dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA)—and 10 min of patient time has been proposed. Objective We aimed to validate a rapid, simplified 4C DXA + BIA body composition model in a clinical population. Design This was a cross-sectional observational study of 31 healthy adults. Participants underwent whole-body DXA, segmental BIA, air displacement plethysmography (ADP), and total body water (TBW) measurement by deuterium (D2O) dilution. 4C composition was calculated through the use of the Lohman model [DXA mineral mass, D2O TBW, ADP body volume (BV), scale weight] and the simplified model (DXA mineral mass and BV, BIA TBW, scale weight). Accuracy of percentage of fat (%Fat) and protein measurements was assessed via linear regression. Test-retest precision was calculated with the use of duplicate DXA and BIA measurements. Results Of 31 participants, 23 were included in the analysis. TBWBIA showed good test-retest precision (%CV = 5.2 raw; 1.1 after outlier removal) and high accuracy to TBWD2O [TBWD2O = 0.956*TBWBIA, R2= 0.92, root mean squared error (RMSE) = 2.2 kg]. %Fat estimates from DXA, ADP, D2O, and BIA all showed high correlation with the Lohman model. However, only the 4C simplified model provides high accuracy for both %Fat (R2 = 0.96, RMSE = 2.33) and protein mass (R2= 0.76, RMSE = 1.8 kg). %Fat precision from 4C DXA + BIA was comparable with DXA (root mean square-SD = 0.8 and 0.6 percentage units, respectively). Conclusions This work validates a simplified 4C method that measures fat, water, mineral, and protein in a 10-min clinic visit. This model has broad clinical application to monitor many conditions including over/dehydration, malnutrition, obesity, sarcopenia, and cachexia.
Pushing the limit: Resilience of an Arctic copepod to environmental fluctuations

Life history strategies such as multiyear life cycles, resting stages, and capital breeding allow species to inhabit regions with extreme and fluctuating environmental conditions. One example is the zooplankton species Calanus hyperboreus, whose life history is considered an adaptation to the short and unpredictable growth season in the central Arctic Ocean. This copepod is commonly described as a true Arctic endemic; however, by statistically analyzing compiled observational data, we show that abundances are relatively low and later stages and adults dominate in the central Arctic Ocean basins, indicating expatriation. Combining data analyses with individual‐based modeling and energy requirement estimation, we further demonstrate that while C. hyperboreus can reach higher abundances in areas with greater food availability outside the central Arctic basins, the species’ resilience to environmental fluctuations enables the life cycle to be completed in the central Arctic basins. Specifically, the energy level required to reach the first overwintering stage—a prerequisite for successful local production—is likely met in some—but not all—years. This fine balance between success and failure indicates that C. hyperboreus functions as a peripheral population in the central Arctic basins and its abundance will likely increase in areas with improved growth conditions in response to climate change. By illustrating a key Arctic species’ resilience to extreme and fluctuating environmental conditions, the results of this study have implications for projections of future biogeography and food web dynamics in the Arctic Ocean, a region experiencing rapid warming and sea ice loss.
Cognitive and metacognitive factors among alcohol-dependent patients during a residential rehabilitation program: a pilot study

Purpose The aims of this pilot study were to examine cognitive factors (brooding and craving) together with positive/negative metacognitive beliefs about alcohol during a residential program for alcohol addiction and to explore relationships with psychological variables at discharge, with the scope of identifying predictive factors of psychological outcome and patients at greatest risk of relapse. Methods Thirty patients underwent a brief semistructured interview on admission to a 28-day rehabilitation program for alcohol addiction, and completed at admission and discharge the following five self-report questionnaires: 1) brooding (Brooding subscale of Ruminative Response Scale [B-RRS]), 2) craving (Penn Alcohol Craving Scale [PACS]), 3) positive beliefs about alcohol use (Positive Alcohol Metacognitions Scale [PAMS]), 4) negative beliefs about alcohol use (Negative Alcohol Metacognitions Scale [NAMS]), and 5) the psychophysical state of health (Cognitive Behavioral Assessment – Outcome Evaluation [CBA-OE]). Results Significant changes were found between admission and discharge in CBA-OE, B-RRS, and PACS. Brooding at admission was a significant predictor of post-treatment psychological variables of “anxiety”, “depression”, and “psychological distress”, whereas craving at admission was a good predictor of “perception of positive change” at discharge. Conclusion Our results confirm the importance of brooding in mood regulation and its role in the development and maintenance of problem drinking. In addition, craving was negatively associated with the perception of positive change in the post-treatment outcomes and was a predictor of this psychological variable, which includes features related to the individual’s resilience and strength. The changes in metacognitive beliefs regarding alcohol use were not statistically significant, but we found a reduction in positive metacognitions and an increase in negative alcohol-related beliefs; future studies are needed to further explore this issue.
Bayesian inference of spreading processes on networks

Infectious diseases are studied to understand their spreading mechanisms, to evaluate control strategies and to predict the risk and course of future outbreaks. Because people only interact with few other individuals, and the structure of these interactions influence spreading processes, the pairwise relationships between individuals can be usefully represented by a network. Although the underlying transmission processes are different, the network approach can be used to study the spread of pathogens in a contact network or the spread of rumours in a social network. We study simulated simple and complex epidemics on synthetic networks and on two empirical networks, a social/contact network in an Indian village and an online social network. Our goal is to learn simultaneously the spreading process parameters and the first infected node, given a fixed network structure and the observed state of nodes at several time points. Our inference scheme is based on approximate Bayesian computation, a likelihood-free inference technique. Our method is agnostic about the network topology and the spreading process. It generally performs well and, somewhat counter-intuitively, the inference problem appears to be easier on more heterogeneous network topologies, which enhances its future applicability to real-world settings where few networks have homogeneous topologies.
Subclinical Reactivation of Cytomegalovirus Drives CD4+CD28null T-Cell Expansion and Impaired Immune Response to Pneumococcal Vaccination in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis

Infection is a leading cause of death in antineutrophil cytoplasmic antibody–associated vasculitis. Here we show that suppression of subclinical reactivation of cytomegalovirus limits CD4+CD28null T-cell expansion and that this is associated with improved immune response to a T-cell–dependent pneumococcal vaccine challenge.
A Modified Lateral Orbitotomy Approach to the Superior Orbital Fissure: A Video Case Report and Review of Anatomy.

BACKGROUND The lateral orbitotomy approach (LOA) is often used for accessing the orbital contents and middle skull base; however, most prior descriptions of the LOA involve complete drilling of the lateral orbital wall. This practice requires retraction of the orbital contents and produces postoperative diplopia that the patient experiences for a limited time. OBJECTIVE To describe a modified LOA with partial sparing of the lateral orbital wall for accessing lesions of the superior orbital fissure (SOF). METHODS One patient with a progressively enlarging SOF lesion and visual loss underwent a modified LOA for resection. The orbital rim lateral to the SOF was removed as a bone flap, and the greater wing of the sphenoid inferior to the SOF was drilled to expose the lesion. The lateral orbital wall was thinned but was not completely removed. The orbital rim was resecured with miniplates and screws. RESULTS Gross total resection of the SOF mass was achieved without unnecessary exposure or retraction of the orbital contents. Histopathologic analysis of the resected mass was consistent with a cavernous hemangioma. The patient had a good cosmetic outcome without complication. CONCLUSION Modified LOA with partial sparing of the lateral orbital wall is a feasible approach for lesions of the SOF.
Associations of the first occurrence of pathogen-specific clinical mastitis with milk yield and milk composition in dairy cows

The aim of this study was to estimate the associations of the first occurrence of pathogen-specific clinical mastitis (CM) with milk yield and milk composition (somatic cell count (SCC), lactose, fat, protein content in milk and milk urea nitrogen (MUN)). We studied 3149 dairy cows in 31 Hokkaido dairy farms in Japan. Five pathogen groups were studied: Streptococcus spp. ; Staphylococcus aureus (S. aureus); coagulase-negative staphylococci (CNS); coliforms; and fungi. Test-day milk data and clinical records were collected from June 2011 until February 2014. Mixed models with an autoregressive correlation structure were fitted to quantify the effects of CM and several other control variables (herd, calving season, parity, week of lactation, and other diseases). Primipara (first lactation) and multipara (second and later lactations) were analysed separately. All pathogens, particularly S. aureus and fungi, were associated with significant milk losses in multipara. In this study, S. aureus and CNS infections were not associated with significant milk loss in primipara. All pathogens, in particular S. aureus and fungi, significantly increased SCC in both parity groups. All pathogens, especially CNS (in primipara) and S. aureus (in multipara), decreased lactose content. All pathogen groups except for fungi were associated with significant changes in fat, protein and MUN. Some pathogens such as Streptococcus spp. and coliforms seemed to be associated with long-term fat, protein and MUN changes. These findings provide estimates that could be used to calculate precise costs of CM, and also provide better indicators of pathogen-specific mastitis.
A multi-slot coaxial microwave antenna for liver tumor ablation

This paper presents a multi-slot coaxial antenna with a pi impedance matching network for liver tumor ablation. A multi-slot radiating probe was optimized by using the modified genetic algorithm to produce a near-spherical heating zone with significantly increased possibility of conformal treatment. A pi impedance matching network was designed to match the feeding transmission line and antenna without increasing antenna size. The reflection coefficient, ablation zone shape, specific absorption rate, and temperature were determined by a finite element electromagnetic simulation using COMSOL. Experimental validations were designed to evaluate the proposed antenna. Both simulation and experimental results show that the proposed antenna has the ability for liver tumor ablation, which offers faster heating rates in the heating center and more localized heating distribution than the conventional single-slot antenna.
The Prognostic Impact of Dose-attenuated R-CHOP Therapy for Elderly Patients with Diffuse Large B-cell Lymphoma

Objective Although R-CHOP (rituximab, cyclophosphamide, vincristine, doxorubicin, and prednisone) is a standard therapy for diffuse large B-cell lymphoma (DLBCL), the optimal dose for elderly patients remains unclear. Methods and Patients We retrospectively verified our R-CHOP dose-attenuation system implemented from 2005 for DLBCL patients. Among the 115 DLBCL patients treated during 2001-2010, 33 patients treated during 2001-2005 received R-CHOP doses adjusted according to physicians’ decisions (PHY group). Eighty-two patients treated after 2005 received adjusted R-CHOP doses according to a unified dose-attenuation system (UNI group). Patients aged <60, 60-69, 70-79, and ≥80 years received the standard R-CHOP, 100% R-CHO+P (50 mg/m2), 100% R+75% CHO+P (40 mg/m2), and 100% R+50% CHO+P (30 mg/m2), respectively. We compared the responses, survival, and treatment cessation between the PHY and UNI groups. Results The patients’ characteristics between both groups were closely comparable. All PHY patients received randomly adjusted R-CHOP doses; 94% of UNI patients received scheduled doses. The complete response rates differed significantly between the UNI (77%) and PHY patients (50%) (p=0.011). The two-year event-free survival rates were 50% and 32% in the UNI and PHY groups, respectively (p=0.0083). The two-year OS rates were 77% and 72% in the UNI and PHY group (p=0.16). Among the patients aged >70 years (n=59) overall survival was shorter in the PHY group (62%) than in the UNI group (72%; p=0.02). The UNI group received higher anti-tumor agent doses than the PHY group. The therapy discontinuation rates were 5% in the UNI group and 24% in the PHY group. Conclusion Carrying out unified dose reduction may improve the efficacy and prognosis among elderly DLBCL patients.
Best practices for MRI systematic reviews and meta‐analyses

As defined by the Cochrane Collaboration, a systematic review is a review of evidence with a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant primary research, and to extract and analyze data from the studies that are included in the review. Meta‐analysis is a statistical method to combine the results from primary studies that accounts for sample size and variability to provide a summary measure of the studied outcome. Systematic reviews of diagnostic test accuracy present unique methodological and reporting challenges not present in systematic reviews of interventions. This review provides guidance and further resources highlighting current best practices in methodology and reporting of systematic reviews of diagnostic test accuracy, with a specific focus on challenges and opportunities for MRI imaging.
Academic Self – Efficacy, Heteronomous and Autonomous Evaluation of Academic Achievement of Adolescents

In the research we focused on an analysis of relationship between academic self-efficacy (ASE), heteronomous (AAH) and autonomous evaluation (AAA) of academic achievement of adolescents. We also analyse the intersexual differences in ASE, AAH and AAA in adolescents. The sample consisted of 107 adolescents (57 girls, 50 boys). We used Morgan-Jinks Student Efficacy Scale. We measured academic achievement by GPA. Autonomous evaluation of academic achievement was measured by perceived self-evaluation of academic achievement (expressed by a self-perceived quality level of knowledge and skill in 3 study subjects Mathematics, Slovak language, English language and in all study subjects). Among adolescent boys and girls we noted significant differences in GPA (t=2.608, p=.010), the girls GPA was better than boys GPA. In the AAA we determined no evidenced significant intersexual differences (t=.724, p=.471), and in the ASE of adolescents there were no evidenced significant intersexual differences either (t=.019, p=.985). We identified a significant relationship between ASE and GPA (r =.269**, p =.005) and between ASE and AAA (r =.385**, p =.000). Analysing the relationship of autonomous evaluation of success in Mathematics, Slovak language and English language (as study subjects) we have come to the identical finding there was a significant relationship with ASE of adolescents. We found out that GPA as an indicator of AAH strongly correlates with AAA of adolescent (r =.700**, p =.000). © 2016 Published by Future Academy www.FutureAcademy. org.uk
Assessment of bowel cleansing quality in colon capsule endoscopy using machine learning: a pilot study

Abstract Background and study aims The aim of this study was to develop a machine learning-based model to classify bowel cleansing quality and to test this model in comparison to a pixel analysis model and assessments by four colon capsule endoscopy (CCE) readers. Methods A pixel analysis and a machine learning-based model with four cleanliness classes (unacceptable, poor, fair and good) were developed to classify CCE videos. Cleansing assessments by four CCE readers in 41 videos from a previous study were compared to the results both models yielded in this pilot study. Results The machine learning-based model classified 47 % of the videos in agreement with the averaged classification by CCE readers, as compared to 32 % by the pixel analysis model. A difference of more than one class was detected in 12 % of the videos by the machine learning-based model and in 32 % by the pixel analysis model, as the latter tended to overestimate cleansing quality. A specific analysis of unacceptable videos found that the pixel analysis model classified almost all of them as fair or good, whereas the machine learning-based model identified five out of 11 videos in agreement with at least one CCE reader as unacceptable. Conclusions The machine learning-based model was superior to the pixel analysis in classifying bowel cleansing quality, due to a higher sensitivity to unacceptable and poor cleansing quality. The machine learning-based model can be further improved by coming to a consensus on how to classify cleanliness of a complete CCE video, by means of an expert panel.
Systematic review of the impact of point‐of‐care testing for influenza on the outcomes of patients with acute respiratory tract infection

Acute respiratory tract infections are a major cause of morbidity and mortality and represent a significant burden on the health care system. Laboratory testing is required to definitively distinguish infecting influenza virus from other pathogens, resulting in prolonged emergency department (ED) visits and unnecessary antibiotic use. Recently available rapid point‐of‐care tests (POCT) may allow for appropriate use of antiviral and antibiotic treatments and decrease patient lengths of stay.
DEEP LEARNING BASED SPEED ESTIMATION FOR CONSTRAINING STRAPDOWN INERTIAL NAVIGATION ON SMARTPHONES

Strapdown inertial navigation systems are sensitive to the quality of the data provided by the accelerometer and gyroscope. Low-grade IMUs in handheld smart-devices pose a problem for inertial odometry on these devices. We propose a scheme for constraining the inertial odometry problem by complementing non-linear state estimation by a CNN-based deep-learning model for inferring the momentary speed based on a window of IMU samples. We show the feasibility of the model using a wide range of data from an iPhone, and present proof-of-concept results for how the model can be combined with an inertial navigation system for three-dimensional inertial navigation.
PERFIL E TRAJETÓRIA PROFISSIONAL DOS EGRESSOS DE RESIDÊNCIA MULTIPROFISSIONAL: TRABALHO E FORMAÇÃO EM SAÚDE

Dentre as politicas de formacao profissional para o Sistema Unico de Saude (SUS), elucida-se a residencia multiprofissional em saude, criada com vistas a formar profissionais alinhados as demandas e os principios do SUS. Dessa forma, este estudo objetivou analisar o perfil socioeconomico e a trajetoria profissional dos egressos do Programa de Residencia Multiprofissional em Saude da Familia e Comunidade (PRMSFC) em Fortaleza-CE. Trata-se de estudo quantitativo e qualitativo do tipo exploratorio, cuja etapa de campo contou com a aplicacao de questionarios com 38 egressos do programa de residencia e com a realizacao de grupo focal com 5 egressos. Observou-se que grande parte dos participantes se fixou no SUS apos o termino do programa de residencia e uma significativa porcao dos egressos afirmou que a residencia alterou sua trajetoria profissional. Esta pesquisa levanta discussoes acerca da educacao permanente no SUS, especialmente a criacao de programas de residencia multiprofissionais, como estrategia de formacao para a saude e sua intrinseca relacao com as atuais condicoes de trabalho na area da saude.