Miracle-dz/UniFAR-FTUs huggingface dataset:
Maxillary Sinus Augmentation for Dental Implant Rehabilitation of the Edentulous Ridge: A Comprehensive Overview of Systematic Reviews

Objectives: The objective of this systemic review was to perform a comprehensive overview of systematic reviews and meta-analyses of the maxillary sinus augmentation procedure for implant rehabilitation in humans. The following were evaluated in this overview: (1) anatomic variables affecting sinus augmentation, (2) histomorphometric analysis of the grafted sinus, (3) volumetric changes after sinus grafting, and (4) implant survival beyond 1 year. Material and Methods: Electronic databases were searched for systematic reviews and meta-analyses of implant-related sinus augmentation published from 1976 to September 2015. The studies selected must identify itself as a systemic review or meta-analysis in the title or abstract and must pertain to sinus augmentation. Results: Thirty-three publications fulfilled the review criteria. The AMSTAR ratings for the 33 chosen reviews scored greater than 3 of 11, with 8 reviews scoring greater or equal to 8 of 11. Conclusion: The outcome of this overview suggested that the following will increase the success of sinus augmentation and survival of implants placed in the grafted sinus: (1) the use of barrier membranes over the lateral window when using a lateral approach to graft the sinus, (2) the use of particulate autogenous bone with or without other substitute graft materials, (3) sinus augmentation without the use of grafting materials may be considered provided that the space between the sinus membrane and floor can be maintained, (4) the use of rough-surfaced implants, (5) simultaneous implant placement with residual bone height greater than 4 mm, and (6) the cessation of smoking.
Structure to self-structuring: infrastructures and processes in neurobehavioural rehabilitation.

INTRODUCTION The importance of structure in post-acute brain injury rehabilitation is repeatedly mentioned in clinical practice. However, there has been little exploration of the key elements of structure that promote greater levels of functioning and emotional/behavioural stability and how these elements are optimally integrated within the infrastructure of a rehabilitation service. OBJECTIVES The nature of structure and why it is helpful is explored initially. Thereafter, the processes involved in transition from externally supported structure to the client 'self-structuring' are described. The infrastructure for facilitating these transitional processes are considered in terms of the design of services for systemic neurorehabilitation encompassing environmental factors (e.g. living environments, vocational and recreational options, step-up services and social milieus), therapeutic alliances (rehabilitation professionals, family, friends), organisational structures (service delivery, rehabilitation coaching, transdisciplinary teams) and rehabilitation philosophies and practice. CONCLUSION It is concluded that the process of supporting individuals to transition from the 'structure' of the environment and other people towards self-structuring skills is a critical process in rehabilitation. This is reliant upon a comprehensive and robust organisational infrastructure that can successfully and flexibly integrate the core elements of structure across a transitional pathway towards increased independence and self-structuring.
Mucinous carcinoid tumor of the vermiform appendix

Three examples of a distinctive, well‐differentiated, mucin‐secreting tumor of the vermiform appendix are described. Because of the presence of infiltrating groups of “signet ring” cells, these tumors have often been diagnosed and treated as adenocarcinomas. The demonstration of appreciable numbers of argentaffin cells, particularly in formalin‐fixed tissues, as well as the absence of mucosal glandular involvement by tumor tend to support the contention of previous workers that this unique tumor is histogenetically and biologically more akin to a carcinoid tumor. Most of these tumors are not apparent grossly, but are an incidental microscopic finding in an acutely inflamed appendix. In view of the lack of documented aggressive behavior of this lesion, the need for additional surgical treatment beyond appendectomy is questioned.
Do not blame users for misconfigurations

Similar to software bugs, configuration errors are also one of the major causes of today's system failures. Many configuration issues manifest themselves in ways similar to software bugs such as crashes, hangs, silent failures. It leaves users clueless and forced to report to developers for technical support, wasting not only users' but also developers' precious time and effort. Unfortunately, unlike software bugs, many software developers take a much less active, responsible role in handling configuration errors because "they are users' faults. " This paper advocates the importance for software developers to take an active role in handling misconfigurations. It also makes a concrete first step towards this goal by providing tooling support to help developers improve their configuration design, and harden their systems against configuration errors. Specifically, we build a tool, called Spex, to automatically infer configuration requirements (referred to as constraints) from software source code, and then use the inferred constraints to: (1) expose misconfiguration vulnerabilities (i.e., bad system reactions to configuration errors such as crashes, hangs, silent failures); and (2) detect certain types of error-prone configuration design and handling. We evaluate Spex with one commercial storage system and six open-source server applications. Spex automatically infers a total of 3800 constraints for more than 2500 configuration parameters. Based on these constraints, Spex further detects 743 various misconfiguration vulnerabilities and at least 112 error-prone constraints in the latest versions of the evaluated systems. To this day, 364 vulnerabilities and 80 inconsistent constraints have been confirmed or fixed by developers after we reported them. Our results have influenced the Squid Web proxy project to improve its configuration parsing library towards a more user-friendly design.
Ratio of serum levels of AGEs to soluble RAGE is correlated with trimethylamine-N-oxide in non-diabetic subjects

Abstract Trimethylamine (TMA), an intestinal microflora-dependent metabolite formed from phosphatidylcholine- and L-carnitine-rich food, such as red meat, is further converted to trimethylamine-N-oxide (TMAO), which could play a role in cardiometabolic disease. Red meat-derived products are one of the major environmental sources of advanced glycation end products (AGEs) that may also contribute to the pathogenesis of cardiometabolic disorders through the interaction with receptor for AGEs (RAGE). However, the relationship among AGEs, soluble form of RAGE (sRAGE) and TMAO in humans remains unclear. Non-diabetic subjects underwent a physical examination, determination of blood chemistry and anthropometric variables, including AGEs, sRAGE, TMA and TMAO. Multiple regression analyses revealed that HbA1c, uric acid and AGEs were independently associated with log TMA, whereas log AGEs to sRAGE ratio and statin non-use were independently correlated with log TMAO. Our present findings indicated that AGEs to sRAGE ratio was correlated with log TMAO, a marker of cardiometabolic disorders.
Learning from Few Examples for Visual Recognition Problems

The lack of training data is one of the core problems and limiting factors in many industrial and high-level vision tasks. Despite the human ability of quickly generalizing from often just a single example of an object category, current computer vision systems require a large number of visual examples to learn from. The following work deals with this problem and two paradigms are considered to tackle it: transfer learning and one-class classification. The idea of transfer learning is that prior information from related tasks can be used to improve learning of a new task with few training examples. In this work, several transfer learning approaches are presented, which concentrate on transferring different types of knowledge from related tasks. The presented regularized tree method extends decision tree methods by incorporating prior knowledge from previously built trees of other tasks. Another proposed algorithm transfers feature relevance information to guide the search for suitable base classifiers during learning of a random decision forest. In addition, a third developed approach utilizes dependent Gaussian processes and allows for non-parametric transfer learning. Furthermore, a technique is presented that automatically selects a related task from a large set of tasks and estimates the required degree of transfer. The method is able to adaptively learn in heterogeneous environments and is based on efficient leave-one-out estimates and semantic similarities . All methods are analyzed in different scenarios (binary and multi-class transfer learning) and are applied to image categorization. Significant performance benefits are shown in comparison with current transfer learning methods and to classifiers not exploiting knowledge transfer. Another very difficult problem occurs when training data is only available for a single class. To solve this problem, new efficient one-class classification methods are presented, which are directly derived from the Gaussian process framework and allow flexible learning with kernels. The suitability of the proposed algorithms for a wide range of applications is demonstrated for image categorization and action detection tasks, as well as the demanding application of defect localization in wire ropes. The experimental results show that the proposed methods are able to outperform other one-class classification methods. In addition, the influence of kernel hyperparameters is investigated. A further study analyzes the performance gain achieved by using multiple sensors (color camera and time-of-flight camera) for generic object recognition. The presented combined system leads to a superior recognition performance compared to previous approaches.
1α,25‐dihydroxy vitamin D3 induces nuclear matrix association of the 1α,25‐dihydroxy vitamin D3 receptor in osteoblasts independently of its ability to bind DNA

1α,25‐dihydroxy vitamin D3 (vitamin D3) has an important role during osteoblast differentiation as it directly modulates the expression of key bone‐related genes. Vitamin D3 binds to the vitamin D3 receptor (VDR), a member of the superfamily of nuclear receptors, which in turn interacts with transcriptional activators to target this regulatory complex to specific sequence elements within gene promoters. Increasing evidence demonstrates that the architectural organization of the genome and regulatory proteins within the eukaryotic nucleus support gene expression in a physiological manner. Previous reports indicated that the VDR exhibits a punctate nuclear distribution that is significantly enhanced in cells grown in the presence of vitamin D3. Here, we demonstrate that in osteoblastic cells, the VDR binds to the nuclear matrix in a vitamin D3‐dependent manner. This interaction of VDR with the nuclear matrix occurs rapidly after vitamin D3 addition and does not require a functional VDR DNA‐binding domain. Importantly, nuclear matrix‐bound VDR colocalizes with its transcriptional coactivator DRIP205/TRAP220/MED1 which is also matrix bound. Together these results indicate that after ligand stimulation the VDR rapidly enters the nucleus and associates with the nuclear matrix preceding vitamin D3‐transcriptional upregulation. J. Cell. Physiol. 222: 336–346, 2010. © 2009 Wiley‐Liss, Inc.
Quality of life and adherence to antiretroviral therapy in Southern Brazil

The absence of or limited adherence to treatment is the main cause for the failure of Highly Active Antiretroviral Therapy (HAART). In Brazil, adherence to antiretroviral therapy has been lower than the recommended levels. Although HAART may produce adverse reactions, failure to comply with it may aggravate patients' health status and impair Quality of Life (QoL). The QoL of individuals living chronically with HIV and AIDS has been considered one of the main treatment outcomes. This study is part of a 225-day prospective trial in which participants were enrolled in two different modalities of follow-up: the usual model medical follow-up or an intervention based on the Medication Adherence Training Instrument (MATI). The WHOQOL-HIV BREF questionnaire was used to evaluate QoL of research participants in both groups on the 15th and 225th days of follow-up after the baseline assessment. The result of this study revealed no significant differences of WHOQOL-HIV BREF scores between participants allocated to MATI and non-MATI groups in the first assessment. However, there was a significant difference between the scores obtained on the 15th and 225th days in the domain related to spirituality and personal beliefs irrespective of the modality of follow-up. Other domains of the WHOQOL-HOV BREF remained unchanged. These results indicate that, in this sample, personal beliefs and spirituality may be relevant subjects to explain sustained levels of adherence to HAART.
Image and depth from a conventional camera with a coded aperture

A conventional camera captures blurred versions of scene information away from the plane of focus. Camera systems have been proposed that allow for recording all-focus images, or for extracting depth, but to record both simultaneously has required more extensive hardware and reduced spatial resolution. We propose a simple modification to a conventional camera that allows for the simultaneous recovery of both (a) high resolution image information and (b) depth information adequate for semi-automatic extraction of a layered depth representation of the image. Our modification is to insert a patterned occluder within the aperture of the camera lens, creating a coded aperture. We introduce a criterion for depth discriminability which we use to design the preferred aperture pattern. Using a statistical model of images, we can recover both depth information and an all-focus image from single photographs taken with the modified camera. A layered depth map is then extracted, requiring user-drawn strokes to clarify layer assignments in some cases. The resulting sharp image and layered depth map can be combined for various photographic applications, including automatic scene segmentation, post-exposure refocusing, or re-rendering of the scene from an alternate viewpoint.
Analysis and Control of a Single-Phase-Inverter–Zigzag-Transformer Hybrid Neutral-Current Suppressor in Three-Phase Four-Wire Systems

This paper presents analysis and control of a hybrid filter that can suppress neutral harmonic currents in three-phase four-wire systems not only with harmonic voltage-source loads but also with harmonic current-source loads. The filter voltampere rating is significantly reduced compared to the conventional neutral-current-suppressing methods. The rectifier part of the neutral harmonic suppressor has been removed by controlling the dc capacitor voltage. The experimental results on a 50-kVA prototype validate the proposed control approach.
Measuring scripted attachment-related knowledge in middle childhood: the Secure Base Script Test

Secure base scripts (SBS) are thought of as the earliest, rudimentary mental representations of attachment, comprising temporally and causally related events occurring in interactions between children and their attachment figures. SBS have been studied in preschool children, adolescents and adults, but there is little research relating SBS to other attachment measures in middle childhood. Here, the Secure Base Script Test (SBST), a narrative-based measure of attachment scripts in middle childhood, was developed and evaluated. In two studies with 7–12-year-olds (total N = 261), high internal consistency, inter-rater reliability and discriminant validity was established. SBS knowledge was consistent across different contexts and relationships and converged strongly with security and coherence in representations assessed by the Friends and Family Interview and moderately with self-reported attachment security. Furthermore, SBS knowledge predicted children’s capacity to respond to distress in an adaptive way. Our findings may be taken to provide some first evidence for generalized scripted attachment knowledge already in middle childhood.
Plasma Ghrelin Levels and Their Relationship with Gastric Emptying in Patients with Dysmotility-Like Functional Dyspepsia

Background/Aims: Ghrelin affects gastric motility. However, little is known about the role of ghrelin in the pathophysiology of functional dyspepsia (FD). We investigated plasma ghrelin levels and their relationship with gastric emptying time in dysmotility-like FD patients. Methods: 42 patients with dysmotility-like FD and 14 healthy volunteers were enrolled in the study. Gastric half-emptying time was measured using a radiolabeled meal. Plasma total ghrelin levels before and after the meal were determined using a radioimmunoassay kit. Results: Preprandial ghrelin levels were significantly lower in FD patients than in controls. Postprandial ghrelin levels were similar between the two groups. Abnormally low preprandial ghrelin levels were observed in 7 out of 42 patients, in whom significant postprandial decrease of ghrelin levels was absent. Delayed gastric emptying was observed in 5 out of 7 patients with abnormally low ghrelin levels. Pre- or postprandial ghrelin levels were not significantly correlated with gastric half-emptying time, both in the patient group and in the control group. Conclusions: Abnormally low preprandial ghrelin levels and absence of significant postprandial decrease of ghrelin levels are present in a subset of dysmotility-like FD patients. Further investigation on the pathogenetic implication of these alterations in FD is required.
Logical Inference on Dependency-based Compositional Semantics

Dependency-based Compositional Semantics (DCS) is a framework of natural language semantics with easy-to-process structures as well as strict semantics. In this paper, we equip the DCS framework with logical inference, by defining abstract denotations as an abstraction of the computing process of denotations in original DCS. An inference engine is built to achieve inference on abstract denotations. Furthermore, we propose a way to generate on-the-fly knowledge in logical inference, by combining our framework with the idea of tree transformation. Experiments on FraCaS and PASCAL RTE datasets show promising results.
Living on the Edge: Social Exclusion and the Receipt of Informal Care in Older People

Older people have been identified as being at risk of social exclusion. However, despite the fact that care is commonly required in later life and the majority of that care is provided by informal carers, a connection between social exclusion and informal care-receipt has rarely been considered. The aim of this study was to examine how informal care-receipt is related to social exclusion. A face-to-face questionnaire survey on social exclusion and informal care-receipt was carried out among older people (n = 1255) living in Barnsley, United Kingdom. Multivariable analyses examined the association between social exclusion and categories of informal care-receipt: care-receiver; assurance-receiver; nonreceiver with no need; and nonreceiver with need. Compared to being a nonreceiver with no need, participants were more likely to be care-receivers or assurance-receivers if they had higher levels of social exclusion. The highest level of social exclusion, however, was found in nonreceivers with need. Despite a lack of informal care and support, formal practical support and personal care were also low in this latter group. Findings are discussed in relation to the conceptualisation of care-receipt and how contact with medical services could be an opportunity for identification and appropriate referral of nonreceivers with need.
Evaluating Endocrine Disruption Activity of Deposits on Firefighting Gear Using a Sensitive and High Throughput Screening Method

Objective: Adverse health outcomes related to exposure to endocrine disrupting chemicals, including increased incidences of coronary heart disease, prostate and testicular cancers, and congenital disabilities, have been reported in firefighters or their offspring. We, therefore, measured the estrogenic and antiestrogenic activity of extracts of used firefighter gear to assess exposure to these agents. Methods: Extracts and known chemical contaminants were examined for estrogenicity and antiestrogenicity in yeast cells expressing the estrogen receptor. Results: Most extracts of used gear and phthalate diesters detectable on this gear displayed strong antiestrogenic effects. Notably, new glove and hood extracts showed significant estrogenic activity. Conclusions: Overall, our data suggest that firefighters are exposed to both estrogenic and antiestrogenic agents, possibly phthalates that may lead to health risks observed in this occupation as a result of perturbation of hormone homeostasis.
INFERENCE FOR CENSORED QUANTILE REGRESSION MODELS IN LONGITUDINAL STUDIES

We develop inference procedures for longitudinal data where some of the measurements are censored by fixed constants. We consider a semi-parametric quantile regression model that makes no distributional assumptions. Our research is motivated by the lack of proper inference procedures for data from biomedical studies where measurements are censored due to a fixed quantification limit. In such studies the focus is often on testing hypotheses about treatment equality. To this end, we propose a rank score test for large sample inference on a subset of the covariates. We demonstrate the importance of accounting for both censoring and intra-subject dependency and evaluate the performance of our proposed methodology in a simulation study. We then apply the proposed inference procedures to data from an AIDS-related clinical trial. We conclude that our framework and proposed methodology is very valuable for differentiating the influences of predictors at different locations in the conditional distribution of a response variable.
Medical Emergency Team Response Processes for Behavioral Health Inpatient Units: Implications for Nursing Education

Following a literature review of nurses’ attitudes and perceived barriers regarding the utilization of medical emergency teams (METs) and completing key informant interviews with psychiatric nurses, a questionnaire developed by the researcher was administered to inpatient psychiatric nurses to further examine their attitudes and perceived barriers about MET utilization. Using a 23-item questionnaire, the psychiatric nurses were asked to rate each item using a 5-point Likert scale. Results indicated that nurses did not have a clear understanding of the criteria for calling a MET and also tended to seek out other staff personnel and/or a physician consultation prior to initiating a MET call. Results of this descriptive, quality improvement project were then used to revise and refine nursing education and practice regarding MET utilization.