Miracle-dz/UniFAR-FTUs huggingface dataset:
Patient engagement in research related to dementia: A scoping review

Patient ‘engagement’ or ‘involvement’ in health research broadly refers to including people with lived experience (i.e. individuals with personal experience of a health issue and their friends, family and caregivers or carers) in the research process. Although previous reviews have systematically summarized approaches to patient engagement in research, it is unclear whether and how engagement activities have been implemented or adapted for research related to dementia. We conducted a scoping review to describe the extent and nature of patient engagement approaches that have been used to involve persons with dementia and their care partners in research. We then summarized the reported barriers, enablers, and impacts of this engagement. Fifty-four research articles were included in the review and almost all were published after 2010. Persons with dementia and their care partners have been engaged in diverse phases of the research process. The majority of engagement involved both persons with dementia and care partners. Barriers and enablers to engagement included those identified for general patient engagement in research, but some more specific to engaging persons with dementia and their care partners were also reported. Very few studies assessed the impact of patient engagement. While the arguments for patient engagement in research are compelling, research to demonstrate the impact – on the research process and outcomes as well as on persons with dementia, care partners, researchers, research institutions and society – is still needed.
Recent Fragmentation May Not Alter Genetic Patterns in Endangered Long-Lived Species: Evidence From Taxus cuspidata

Forestland fragmentation caused by overexploitation of forest resources can in principle reduce genetic diversity, limit gene flow and eventually lead to species developing strong genetic structure. However, the genetic consequences of recent anthropogenic fragmentation of tree species remain unclear. Taxus cuspidata, which has extremely small populations distributed mainly in Changbai Mt. in Northeast (NE) China, has recently endured severe habitat fragmentation. Here, we investigate the pattern of genetic diversity and structure, identify risk factors, predict the future distribution and finally provide guidelines for the conservation and management of this species. We used three chloroplast and two mitochondrial DNA fragments, which are both paternally inherited in yews but differ in mutation rates, to genotype a total of 265 individuals from 26 populations covering the distribution of the species in China. Both chloroplast and mitochondrial data showed high degrees of genetic diversity, extensive gene flow over the entire geographical range and historical stability of both effective population size and distribution of the species. However, ecological niche modeling suggests a decrease in suitable areas for this species by the years 2050 and 2070. The maintenance of high genetic diversity and the existence of sufficient gene flow suggest that recent fragmentation has not affected the genetic composition of the long-lived tree T. cuspidata. However, severe impacts of anthropogenic activities are already threatening the species. Conservation and management strategies should be implemented in order to protect the remnant populations.
Two perspectives on software documentation quality in stack overflow

This paper studies the software documentation quality in Stack Overflow from two perspectives: the questioners’ who are accepting answers and the community’s who is voting for answers. We show what developers can do to increase the chance that their questions or answers get accepted by the community or by the questioners. We found different expectations of what information such as code or images should be included in a question or an answer. We evaluated six different quality indicators (such as Flesch Reading Ease or images) which a developer should consider before posting a question and an answer. In addition, we found different quality indicators for different types of questions, in particular error, discrepancy, and how-to questions. Finally we use a supervised machine-learning algorithm to predict when an answer will be accepted or voted.
Osmolality Selectively Offsets the Impact of Hyperthermia on Mouse Skeletal Muscle in vitro

Hyperthermia and dehydration can occur during exercise in hot environments. Nevertheless, whether elevations in extracellular osmolality contributes to the increased skeletal muscle tension, sarcolemmal injury, and oxidative stress reported in warm climates remains unknown. We simulated osmotic and heat stress, in vitro, in mouse limb muscles with different fiber compositions. Extensor digitorum longus (EDL) and soleus (SOL) were dissected from 36 male C57BL6J and mounted at optimal length in tissue baths containing oxygenated buffer. Muscles were stimulated with non-fatiguing twitches for 30 min. Four experimental conditions were tested: isotonic-normothermia (285 mOsm•kg-1 and 35°C), hypertonic-normothermia (300 mOsm•kg-1 and 35°C), isotonic-hyperthermia (285 mOsm•kg-1 and 41°C), and hypertonic-hyperthermia (300 mOsm•kg-1 and 41°C). Passive tension was recorded continuously. The integrity of the sarcolemma was determined using a cell-impermeable fluorescent dye and immunoblots were used for detection of protein carbonyls. In EDL muscles, isotonic and hypertonic-hyperthermia increased resting tension (P < 0.001). Whereas isotonic-hyperthermia increased sarcolemmal injury in EDL (P < 0.001), this effect was absent in hypertonic-hyperthermia. Similarly, isotonic-hyperthermia elevated protein carbonyls (P = 0.018), a response not observed with hypertonic-hyperthermia. In SOL muscles, isotonic-hyperthermia also increases resting tension (P < 0.001); however, these effects were eliminated in hypertonic-hyperthermia. Unlike EDL, there were no effects of hyperthermia and/or hyperosmolality on sarcolemmal injury or protein carbonyls. Osmolality selectively modifies skeletal muscle response to hyperthermia in this model. Fast-glycolytic muscle appears particularly vulnerable to isotonic-hyperthermia, resulting in elevated muscle tension, sarcolemmal injury and protein oxidation; whereas slow-oxidative muscle exhibits increased tension but no injury or protein oxidation under the conditions and duration tested.
Current approaches for choosing feature selection and learning algorithms in quantitative structure–activity relationships (QSAR)

ABSTRACT Introduction: Quantitative structure-activity/property relationships (QSAR/QSPR) are statistical models which quantitatively correlate quantitative chemical structure information (described as molecular descriptors) to the response end points (biological activity, property, toxicity, etc.). Important strategies for QSAR model development and validation include dataset curation, variable selection, and dataset division, selection of modeling algorithms and appropriate measures of model validation. Areas covered: Different feature selection methods and various linear and nonlinear learning algorithms are employed to address the complexity of data sets for selection of appropriate features important for the responses being modeled, to reduce overfitting of the models, and to derive interpretable models. This review provides an overview of various feature selection methods as well as different statistical learning algorithms for QSAR modeling at an elementary level for nonexpert readers. Expert opinion: Novel sets of descriptors are being continuously introduced to this field; therefore, to handle this issue, there is a need to improve new tools for feature selection, which can lead to development of statistically meaningful models, usable by nonexperts in the fields. While handling data sets of limited size, special techniques like double cross-validation and consensus modeling might be more meaningful in order to remove the possibility of bias in descriptor selection.
Approximating Pairwise Correlations in the Ising Model

In the Ising model, we consider the problem of estimating the covariance of the spins at two specified vertices. In the ferromagnetic case, it is easy to obtain an additive approximation to this covariance by repeatedly sampling from the relevant Gibbs distribution. However, we desire a multiplicative approximation, and it is not clear how to achieve this by sampling, given that the covariance can be exponentially small. Our main contribution is a fully polynomial time randomised approximation scheme (FPRAS) for the covariance in the ferromagnetic case. We also show that the restriction to the ferromagnetic case is essential—there is no FPRAS for multiplicatively estimating the covariance of an antiferromagnetic Ising model unless RP = #P. In fact, we show that even determining the sign of the covariance is #P-hard in the antiferromagnetic case.
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

We revisit Rahimi and Recht (2007)’s kernel random Fourier features (RFF) method through the lens of the PAC-Bayesian theory. While the primary goal of RFF is to approximate a kernel, we look at the Fourier transform as a prior distribution over trigonometric hypotheses. It naturally suggests learning a posterior on these hypotheses. We derive generalization bounds that are optimized by learning a pseudo-posterior obtained from a closed-form expression. Based on this study, we consider two learning strategies: The first one finds a compact landmarks-based representation of the data where each landmark is given by a distribution-tailored similarity measure, while the second one provides a PAC-Bayesian justification to the kernel alignment method of Sinha and Duchi (2016).
In‐hospital and 90‐day outcomes after total pancreatectomy with islet autotransplantation for pediatric chronic and acute recurrent pancreatitis

Total pancreatectomy with islet autotransplantation (TPIAT) is used to treat debilitating chronic pancreatitis (CP) and acute recurrent pancreatitis (ARP) that has failed medical and endoscopic therapy. We performed a retrospective review of TPIAT patients at a free‐standing children's hospital to evaluate perioperative outcomes. Twenty patients (median age 13, 65% female) underwent TPIAT (2015 through 2017). Of the 20 patients, 95% had CP and 1 patient (5%) had ARP alone. Seventy‐five percent of the patients had a pancreatitis‐associated genetic mutation; 40% had pancreas divisum. The median surgical time was 757 (IQR 657 to 835) minutes. Median islet equivalents per kg of body weight (IEQ/kg) were 6404 (IQR 5018 to 7554). At 90 days postoperatively vs preoperatively, significantly fewer patients were receiving parenteral nutrition (0% vs 25%, P = .006) and opioids (45% vs 75%, P = .01). Short Form 36‐Item Health Survey (SF‐36) physical health module scores and total scores improved (34.0 preoperatively vs 54.6 at 90 days, P = .008, and 47.1 vs 65.3, P = .007, respectively); SF‐10 physical health scores also improved (13.4 vs 33.1, P = .02). Insulin requirement decreased from 0.5 unit/kg/day to 0.4 unit/kg/day between discharge and 90 days (P = .02). TPIAT is an effective option when debilitating disease persists despite maximal medical and endoscopic therapy. Opioid, parenteral nutrition, and exogenous insulin use can successfully be weaned within 90 days after TPIAT, with gains in health‐related quality of life.
ES-TRNG: A High-throughput, Low-area True Random Number Generator based on Edge Sampling

In this paper we present a novel true random number generator based on high-precision edge sampling. We use two novel techniques to increase the throughput and reduce the area of the proposed randomness source: variable-precision phase encoding and repetitive sampling. The first technique consists of encoding the oscillator phase with high precision in the regions around the signal edges and with low precision everywhere else. This technique results in a compact implementation at the expense of reduced entropy in some samples. The second technique consists of repeating the sampling at high frequency until the phase region encoded with high precision is captured. This technique ensures that only the high-entropy bits are sent to the output. The combination of the two proposed techniques results in a secure TRNG, which suits both ASIC and FPGA implementations. The core part of the proposed generator is implemented with 10 look-up tables (LUTs) and 5 flip-flops (FFs) of a Xilinx Spartan-6 FPGA, and achieves a throughput of 1.15 Mbps with 0.997 bits of Shannon entropy. On Intel Cyclone V FPGAs, this implementation uses 10 LUTs and 6 FFs, and achieves a throughput of 1.07 Mbps. This TRNG design is supported by a stochastic model and a formal security evaluation.
Genetic Identification in Early Onset Parkinsonism among Norwegian Patients

An initial diagnosis of Parkinson's disease (PD) is challenging, especially in patients who have early onset and atypical disease. A genetic etiology for parkinsonism, when established, ends that diagnostic odyssey and may inform prognosis and therapy. The objective of this study was to elucidate the genetic etiology of parkinsonism in patients with early onset disease (age at onset <45 years).
Use of an electronic patient-reported outcome measure in the management of patients with advanced chronic kidney disease: the RePROM pilot trial protocol

Introduction Chronic kidney disease (CKD) affects up to 16% of adults in the UK. Patient quality of life is particularly reduced in end-stage renal disease and is strongly associated with increased hospitalisation and mortality. Thus, accurate and responsive healthcare is a key priority. Electronic patient-reported outcome measures (ePROMs) are online questionnaires which ask patients to self-rate their health status. Evidence in oncology suggests that the use of ePROM data within routine care, alongside clinical information, may enhance symptom management and improve patient outcomes. However, National Health Service (NHS)-based ePROM research in CKD is lacking. This pilot trial will assess the feasibility of undertaking a full-scale randomised controlled trial (RCT) in patients with CKD within the NHS. Methods and analysis The renal ePROM pilot trial is an investigator-led single-centre, open-label, two-arm randomised controlled pilot trial of 66 participants ≥18 years with advanced CKD. Participants will be randomised to receive either usual care or usual care supplemented with an ePROM intervention. Participants within the intervention arm will be asked to submit monthly self-reports of their health status using the ePROM system. The system will provide tailored information to patients in response to each report and notify the clinical team of patient deterioration. The renal clinical team will monitor for ePROM notifications and will respond with appropriate action, in line with standard clinical practice. Measures of study feasibility, participant quality of life and CKD severity will be completed at 3 monthly intervals. Health economic outcomes will be assessed. Clinicians will record treatment decision-making. Acceptability and feasibility of the protocol will be assessed alongside outcome measure and intervention compliance rates. Qualitative process evaluation will be conducted. Ethics and dissemination The findings will inform the design of a full-scale RCT and the results will be submitted for publication in peer-reviewed journals. The study has ethical approval. Trial registration numbers ISRCTN12669006; Pre-results.
Variations Between Perceptions of Interpersonal Distance in Virtual Environments for Autism

Interpersonal distance is defined as the area which we choose to keep between ourselves and others, revealed through observation and cultural components. Although previous studies have suggested the possibility of alterations in perception of interpersonal distance in children with Autism Spectrum Disorder, it remains unknown whether these differences exist in relation to characters in a virtual environment. As many social-skills interventions for autism rely upon virtual characters to teach social behaviors, this research is key in understanding how to configure the interpersonal distance of virtual characters to an adequate level to effectively foster computerized social-skills training. We have carried out controlled trials with children with autism to identify variations in preferences from the typically developed population with both a human partner and a virtual character. The contributions of this research are twofold: first, to support existing literature in identifying differences in personal space preferences between children with autism and typically developing children; and second, to understand whether these differences carry over into the context of virtual environments.
Life is precious: Sarcoma/giant-cell tumors survivors' perspectives on their psychological journey

Abstract Objectives: Although surviving bone resection/limb salvage surgery treatment is the beginning of the journey towards recovery, the importance of providing patients with post-operative psychological support is often overlooked by health professionals. Hence, patients typically are left to their own devices in terms of ensuring their mental health and well-being. Methodological Approach and Participants: This qualitative analysis of seven long-term sarcoma survivors’ reflective journal entries provides insights into the different phases of distress, resilience building, resilient growth and advice-giving that they moved through during their survivorship journey. Interpretation: Our findings identify the fragility of patient resilience and highlight areas for future research.
Cochlear Implantation for Children and Adults with Severe-to-Profound Hearing Loss

Abstract Cochlear implants (CIs) have proven to be a useful treatment option for individuals with severe-to-profound hearing loss by providing improved access to one's surrounding auditory environment. CIs differ from traditional acoustic amplification by providing information to the auditory system via electrical stimulation. Both postlingually deafened adults and prelingually deafened children can benefit from a CI; however, outcomes with a CI can vary. Numerous factors can impact performance outcomes with a CI. It is important for the audiologist to understand what factors might play a role and impact performance outcomes with a CI so that they can effectively counsel the recipient and their family, as well as establish appropriate and realistic expectations with a CI. This review article will discuss the CI candidacy process, CI programming and postoperative follow-up care, as well as considerations across the lifespan that may affect performance outcomes with a CI.
Quality measures for dental care: A systematic review

Abstract Objectives This systematic review aimed to (a) provide an overview of existing quality measures in the field of oral health care, and to (b) evaluate the scientific soundness and applicability of these quality measures. Methods A systematic search was conducted in three electronic databases MEDLINE (via PubMed), EMBASE (via OVID) and LILACS (via BIREME). The search was restricted to articles published between 2002 and 2018. Publications reporting on the development process or clinimetric properties of oral health care quality measures for outpatient oral health care in dental practices were included. The identified publications reporting on oral health care quality measures were critically appraised with the Appraisal of Indicators through Research and Evaluation 2.0 (AIRE 2.0) instrument to evaluate the soundness and applicability of the measures. Results The search strategy resulted in 2541 unique and potentially relevant articles. In total, 24 publications were included yielding 215 quality measures. The critical appraisal showed a large variation in the quality of the included publications (AIRE scores ranging from 38 to 78 out of 80 possible points). The majority of measures (n = 71) referred to treatment and preventive services. Comparably, few measures referred to the domain patient safety (n = 3). The development process of measures often exhibited a lack of involvement of patients and dental professionals. Few projects reported on the validity (n = 2) and reliability (n = 3) of the measures. Four projects piloted the measures for implementation in practice. Conclusions This systematic review provides an overview of the status quo with respect to existing quality measures in oral health care. Potential opportunities include the piloting and testing of quality measures and the establishment of suitable information systems that allow the provision of transparent routine feedback on the quality of oral health care.
Photophysical Properties of Nitrated and Halogenated Phosphorus Tritolylcorrole Complexes: Insights from Theory

The photophysical properties of a series of nitrated and halogenated phosphorus tritolylcorrole complexes were studied in dichloromethane solvent by using the density functional theory. Particular emphasis was given to the absorption spectra, the energy gap between the excited singlet and triplet states, and the magnitude of the spin-orbit couplings for a series of possible intersystem crossing channels between those excited states. The proposed study provides a better description of the photophysical properties of these systems while giving insights into their possible use as photosensitizers in photodynamic therapy.
Two-year effectiveness of a stepped-care depression prevention intervention and predictors of incident depression in primary care patients with diabetes type 2 and/or coronary heart disease and subthreshold depression: data from the Step-Dep cluster randomised controlled trial

Introduction Major depressive disorders (MDD), diabetes mellitus type 2 (DM2) and coronary heart disease (CHD) are leading contributors to the global burden of disease and often co-occur. Objectives To evaluate the 2-year effectiveness of a stepped-care intervention to prevent MDD compared with usual care and to develop a prediction model for incident depression in patients with DM2 and/or CHD with subthreshold depression. Methods Data of 236 Dutch primary care patients with DM2/CHD with subthreshold depression (Patient Health Questionnaire 9 (PHQ-9) score ≥6, no current MDD according to the Mini International Neuropsychiatric Interview (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria)) who participated in the Step-Dep trial were used. A PHQ-9 score of ≥10 at minimally one measurement during follow-up (at 3, 6, 9, 12 and 24 months) was used to determine the cumulative incidence of MDD. Potential demographic and psychological predictors were measured at baseline via web-based self-reported questionnaires and evaluated using a multivariable logistic regression model. Model performance was assessed with the Hosmer-Lemeshow test, Nagelkerke’s R2 explained variance and area under the receiver operating characteristic curve (AUC). Bootstrapping techniques were used to internally validate our model. Results 192 patients (81%) were available at 2-year follow-up. The cumulative incidence of MDD was 97/192 (51%). There was no statistically significant overall treatment effect over 24 months of the intervention (OR 1.37; 95% CI 0.52 to 3.55). Baseline levels of anxiety, depression, the presence of >3 chronic diseases and stressful life events predicted the incidence of MDD (AUC 0.80, IQR 0.79–0.80; Nagelkerke’s R2 0.34, IQR 0.33–0.36). Conclusion A model with 4 factors predicted depression incidence during 2-year follow-up in patients with DM2/CHD accurately, based on the AUC. The Step-Dep intervention did not influence the incidence of MDD. Future depression prevention programmes should target patients with these 4 predictors present, and aim to reduce both anxiety and depressive symptoms. Trial registration number NTR3715.