Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of orthostatic blood pressure response with incident heart failure: The Framingham Heart Study

Importance Orthostatic hypotension (OH) and hypertension (OHT) are aberrant blood pressure (BP) regulation conditions associated with higher cardiovascular disease risk. The relations of OH and OHT with heart failure (HF) risk in the community are unclear and there remains a paucity of data on the relations with HF subtypes [HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF)]. Objective Relate OH and OHT with HF risk and its subtypes. Design Prospective observational cohort. Setting Community-based individuals in the Framingham Heart Study Original Cohort. Participants 1,914 participants (mean age 72 years; 1159 women) attending examination cycle 17 (1981–1984) followed until December 31, 2017 for incident HF or death. Exposures OH or OHT, defined as a decrease or increase, respectively, of ≥20/10 mmHg in systolic/diastolic BP upon standing from supine position. Outcomes and measures At baseline, 1,241 participants had a normal BP response (749 women), 274 had OH (181 women), and 399 had OHT (229 women). Using Cox proportional hazards regression models, we related OH and OHT to risk of HF, HFrEF, and HFpEF compared to the absence of OH and OHT (reference), adjusting for age, sex, body mass index, systolic and diastolic BP, hypertension treatment, smoking, diabetes, and total cholesterol/high-density lipoprotein. Results On follow-up (median 13 years) we observed 492 HF events (292 in women; 134 HFrEF, 116 HFpEF, 242 HF indeterminate EF). Compared to the referent, participants with OH [n = 84/274 (31%) HF events] had a higher HF risk (Hazards Ratio [HR] 1.47, 95% CI 1.13–1.91). Moreover, OH was associated with a higher HFrEF risk (HR 2.21, 95% CI 1.34–3.67). OHT was not associated with HF risk. Conclusions and relevance Orthostatic BP response may serve as an early marker of HF risk. Findings suggest shared pathophysiology of BP regulation and HF, including HFrEF.
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The launch of several movie streaming services has raised new questions about how online consumers deal with both legal and illegal options to obtain their desired products. This paper investigates the factors inluencing consumers’ intentions to subscribe to online movie streaming services. These services have challenged the dramatic growth in their illegal counterpart in recent years. Taking the theory of planned behavior as a starting point, we extended existing models in the literature by incorporating factors that are speciic to consumer behavior in this particular ield. A quantitative survey was conducted for the Italian market, and structural equation modeling was used for data analysis. Attitudes, involvement with products, moral judgement and frequency of past behavior were found to be the most important factors in explaining the intention to pay for movie streaming services. The paper provides insights for policy makers and industry managers on the marketing communication strategies needed to minimize the risk of digital piracy.
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network

Functional connectivities (FC) of brain network manifest remarkable geometric patterns, which is the gateway to understanding brain dynamics. In this work, we present a novel geometric-attention neural network to characterize the time-evolving brain state change from the functional neuroimages by tracking the trajectory of functional dynamics on high-dimension Riemannian manifold of symmetric positive definite (SPD) matrices. Specifically, we put the spotlight on learning the common state-specific manifold signatures that represent the underlying cognition. In this context, the driving force of our neural network is tied up with the learning of the evolution functionals on the Riemannian manifold of SPD matrix that underlies the known evolving brain states. To do so, we train a convolution neural network (CNN) on the Riemannian manifold of SPD matrices to seek for the putative low-dimension feature representations, followed by an end-to-end recurrent neural network (RNN) to yield the time-varying mapping function of SPD matrices which fits the evolutionary trajectories of the underlying states. Furthermore, we devise a geometric attention mechanism in CNN, allowing us to discover the latent geometric patterns in SPD matrices that are associated with the underlying states. Notably, our work has the potential to understand how brain function emerges behavior by investigating the geometrical patterns from functional brain networks, which is essentially a correlation matrix of neuronal activity signals. Our proposed manifold-based neural network achieves promising results in predicting brain state changes on both simulated data and task functional neuroimaging data from Human Connectome Project, which implies great applicability in neuroscience studies.
ESA's Cometary Mission Rosetta—Re‐Characterization of the COSAC Mass Spectrometry Results

Abstract The most pristine material of the Solar System is assumed to be preserved in comets in the form of dust and ice as refractory matter. ESA's mission Rosetta and its lander Philae had been developed to investigate the nucleus of comet 67P/Churyumov–Gerasimenko in situ. Twenty‐five minutes after the initial touchdown of Philae on the surface of comet 67P in November 2014, a mass spectrum was recorded by the time‐of‐flight mass spectrometer COSAC onboard Philae. The new characterization of this mass spectrum through non‐negative least squares fitting and Monte Carlo simulations reveals the chemical composition of comet 67P. A suite of 12 organic molecules, 9 of which also found in the original analysis of this data, exhibit high statistical probability to be present in the grains sampled from the cometary nucleus. These volatile molecules are among the most abundant in the comet's chemical composition and represent an inventory of the first raw materials present in the early Solar System.
Interrelationships of Touch and Proprioception with Motor Impairments in Individuals with Cerebral Palsy: A Systematic Review

Considering that somatosensory impairments may impact motor performance in individuals with cerebral palsy (CP), a better understanding of these relations is relevant to planning interventions. To synthesize research evidence to date on the interrelationships between the somatosensory functions of touch and proprioception with motor functions in persons with CP, we systematically searched Embase, CINAHL, PsycINFO, and Medline databases for studies relating these variables that were published in English from the inception of these databases to November 2020. We targeted the following content categories in our literature search: (a) cerebral palsy; (b) sensory functions; (c) tactile functions; (d) proprioception functions; and (e) motor functions. The selection, data extraction, and methodological quality assessment of these studies were performed in duplicate. We retrieved and analyzed information regarding the studies’ methodological approaches and synthesized results. The 11 studies that met our inclusion criteria showed that, in individuals with CP, impairments in tactile discrimination, proprioception, and stereognosis are related to motor functions in terms of overall manual ability, grip strength, postural control and locomotion. Thus, clinical practitioners should attend to somatosensory aspects of motor impairment in individuals with CP. More research is needed to clarify the direction of these associations.
An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer’s disease

Objective. Electroencephalography (EEG) is a potential source of downstream biomarkers for the early diagnosis of Alzheimer’s disease (AD) due to its low-cost, noninvasive, and portable advantages. Accurately detecting AD-induced patterns from EEG signals is essential for understanding AD-related neurodegeneration at the EEG level and further evaluating the risk of AD at an early stage. This paper proposes a deep learning-based, functional explanatory framework that probes AD abnormalities from short-sequence EEG data. Approach. The framework is a learning-based automatic detection system consisting of three encoding pathways that analyze EEG signals in frequency, complexity, and synchronous domains. We integrated the proposed EEG descriptors with the neural network components into one learning system to detect AD patterns. A transfer learning-based model was used to learn the deep representations, and a modified generative adversarial module was attached to the model to overcome feature sparsity. Furthermore, we utilized activation mapping to obtain the AD-related neurodegeneration at brain rhythm, dynamic complexity, and functional connectivity levels. Main results. The proposed framework can accurately (100%) detect AD patterns based on our raw EEG recordings without delicate preprocessing. Meanwhile, the system indicates that (a) the power of different brain rhythms exhibits abnormal in the frontal lobes of AD patients, and such abnormality spreads to central lobes in the alpha and beta rhythms, (b) the difference in nonlinear complexity varies with the temporal scales, and (c) all the connections of pair-wise brain regions except bilateral temporal connectivity are weak in AD patterns. The proposed method outperforms other related methods in detection performance. Significance. We provide a new method for revealing abnormalities and corresponding localizations in different feature domains of EEG from AD patients. This study is a significant foundation for our future work on identifying individuals at high risk of AD at an early stage.
Angle-tuned coils: attractive building blocks for TMS with improved depth-spread performance

Objective. A novel angle-tuned ring coil is proposed for improving the depth-spread performance of transcranial magnetic stimulation (TMS) coils and serve as the building blocks for high-performance composite coils and multisite TMS systems. Approach. Improving depth-spread performance by reducing field divergence through creating a more elliptical emitted field distribution from the coil. To accomplish that, instead of enriching the Fourier components along the planarized (x-y) directions, which requires different arrays to occupy large brain surface areas, we worked along the radial (z) direction by using tilted coil angles and stacking coil numbers to reduce the divergence of the emitted near field without occupying large head surface areas. The emitted electric field distributions were theoretically simulated in spherical and real human head models to analyze the depth-spread performance of proposed coils and compare with existing figure-8 coils. The results were then experimentally validated with field probes and in-vivo animal tests. Main results. The proposed ‘angle-tuning’ concept improves the depth-spread performance of individual coils with a significantly smaller footprint than existing and proposed coils. For composite structures, using the proposed coils as basic building blocks simplifies the design and manufacturing process and helps accomplish a leading depth-spread performance. In addition, the footprint of the proposed system is intrinsically small, making them suitable for multisite stimulations of inter and intra-hemispheric brain regions with an improved spread and less electric field divergence. Significance. Few brain functions are operated by isolated single brain regions but rather by coordinated networks involving multiple brain regions. Simultaneous or sequential multisite stimulations may provide tools for mechanistic studies of brain functions and the treatment of neuropsychiatric disorders. The proposed AT coil goes beyond the traditional depth-spread tradeoff rule of TMS coils, which provides the possibility of building new composite structures and new multisite TMS tools.
Predictors of protective behaviours during the Italian Covid-19 pandemic: an application of protection motivation theory

Abstract Objective The study investigated whether Protection Motivation Theory (PMT) constructs predicted recommended protective behaviours soon after the Italian lockdown and 1-year later. Design A three-wave longitudinal design was used. Three-hundred-fifty-two adults completed online questionnaires with PMT and intention measures assessed during the Italian lockdown (T1), and behaviour measures assessed after 1-month (T2) and 1-year (T3). Outcome measures Intentions to adopt behaviours (T1) and behaviour adherence at T2 and T3. Results From T2 to T3, participants reported less adoption of distance behaviours, but higher face masks use. In SEM models, self-efficacy and perceived severity were the strongest predictors of intentions to engage in protective behaviours. Intentions (β = 0.490, p < 0.001) and fear arousal (β = 0.134 p = 0.035) predicted protective behaviours at T2. Intentions (β = 0.302, p = 0.001) and perceived severity (β = 0.431, p < 0.001) predicted protective behaviours at T3. Conclusion To increase intentions, intervention should highlight the severity of getting infected and target perceptions of one’s ability to perform the protective behaviours. In addition, interventions should consider that at the beginning of the pandemic, fear predicted the adoption of preventive behaviours while perceived severity of the disease had a greater impact over time.
Hamstring, bone-patellar tendon-bone, quadriceps and peroneus longus tendon autografts for primary isolated posterior cruciate ligament reconstruction: a systematic review

Abstract Introduction Several autografts are available to reconstruct the posterior cruciate ligament (PCL). Source of data Current scientific literature published in PubMed, Google scholar, Embase and Scopus. Areas of agreement Hamstring, bone-patellar tendon-bone (BPTB), quadriceps and peroneus longus (PLT) are the most common tendon autografts used for primary isolated PCL reconstruction. Areas of controversy The optimal tendon source for PCL reconstruction remains nevertheless debated. Identifying the most suitable tendon autograft could assist the surgeon during primary PCL reconstruction. Growing points The present study compared the outcome of PCL reconstruction using hamstring, BPTB, quadriceps and PLT autografts. The focus was on patient-reported outcome measures (PROMs), joint laxity, range of motion and complications. Areas timely for developing research All autografts are viable options for PCL reconstruction, with BTB and hamstring autografts demonstrating superior PROMs. However, further clinical investigations are required to determine the ideal autograft construct.
Superior Adhesion of a Multifunctional Protein‐Based Micropatch to Intestinal Tissue by Harnessing the Hydrophobic Effect

Drug delivery systems comprising drug carriers capable of adhering to intestinal tissue have considerable potential to realize more sophisticated systemic drug delivery and topical drug treatments in the intestinal tract. The development of innovative strategies for improving the adhesion efficiency of carriers is of high importance for the advancement of this field. Herein, a novel approach to achieving high adhesion efficiency of drug carriers is presented, where the accessibility of the carrier to the intestinal surface and its subsequent adhesion to the intestinal tissue are promoted by utilizing the thermodynamic tendency of the hydrophobic carrier and its dispersion solvent, triacetin, to be excluded from the aqueous environment. Drug carriers are fabricated using proteins, imparting multiple functions, including drug release and the removal of reactive oxygen species (ROS). Results of ex vivo studies indicate that this multifunctional protein‐based carrier, “protein micropatch,” adheres to various mouse intestinal tissues, including the small intestine, colon, and inflamed colon, with high efficiency. Furthermore, protein micropatches, administered to mice via oral or rectal routes, successfully adhere to the intestinal tract. This approach and the highly functionalized carrier described in the study have the potential to significantly contribute to the development of bioadhesive carrier‐based drug delivery systems.
Poor sleep quality may contribute to dysfunctional illness perception, physical and emotional distress in hospitalised patients: results of a national survey of the Italian Society of Consultation‐Liaison Psychiatry

Distress associated with physical illness is a well‐known risk factor for adverse illness course in general hospitals. Understanding the factors contributing to it should be a priority and among them dysfunctional illness perception and poor sleep quality may contribute to it. As poor sleep quality is recognised as a major risk factor for health problems, we aimed to study its association with illness perception and levels of distress during hospitalisation. This cross‐sectional study included a consecutive series of 409 individuals who were hospitalised in medical and surgical units of different hospitals located throughout the Italian national territory and required an assessment for psychopathological conditions. Sleep quality was assessed with the Pittsburgh (Sleep Quality Index), emotional and physical distress with the Edmonton Symptom Assessment System (ESAS), and illness perception with the Brief Illness Perception Questionnaire (BIPQ). Differences between groups, correlations and mediations analyses were computed. Patients with poor sleep quality were more frequently females, with psychiatric comorbidity, with higher scores in the ESAS and BIPQ. Poor sleep quality was related to dysfunctional illness perception, and to both emotional and physical distress. In particular, by affecting cognitive components of illness perception, poor sleep quality may, directly and indirectly, predict high levels of distress during hospitalisation. Poor sleep quality may affect >70% of hospitalised patients and may favour dysfunctional illness perception and emotional/physical distress.Assessing and treating sleep problems in hospitalised patients should be included in the routine of hospitalised patients.
Improving gender‐affirming care in genetic counseling: Using educational tools that amplify transgender and/or gender non‐binary community voices

Transgender and/or gender non‐binary (TGNB) individuals face significant health care disparities, including deficiencies in provider knowledge. To address this knowledge gap for genetic counselors, we developed, implemented, and analyzed an educational intervention on gender‐affirming genetic counseling (GC) and care for TGNB patients. In partnership with the TGNB community, we designed a 5‐module (length = 146 min ± 94 min) genetic counseling‐targeted online learning program focused on gender‐affirming care (Amplify). Content included elements of gender‐affirming care, core components of gender‐inclusive GC sessions, and cancer risk assessment/management. Video testimonials featuring TGNB individuals complemented learning within each module. Educational outcomes measured included comfort working with TGNB patients (n = 2 multiple choice questions (MCQs)), impact of education on knowledge (n = 25 MCQs), and clinical self‐efficacy based on the Accreditation Council for Genetic Counseling competencies (n = 35 skills). Participants (n = 40), recruited through state and national GC organizations, completed all modules, and pre‐ and post‐education/self‐efficacy assessments. Pre‐Amplify, 65% (n = 26/40) of participants endorsed feeling ‘somewhat comfortable’ working with TGNB patients. The average knowledge score was 77.6% (SD = 11.2%) with the lowest scores related to the gender affirmation process. After Amplify, overall knowledge improvement was statistically significant with an average 16.9% (p < 0.001) increase in score. Pre‐Amplify, the average self‐efficacy score was 78.4% (SD = 15.8%) with lowest scores seen in statements surrounding information gathering of family and medical histories. Post‐Amplify, overall self‐efficacy improvement was statistically significant with an average 13.8% (p < 0.001) increase in score. Linear regression did not identify an impact of practice specialty on participants’ knowledge gains or self‐efficacy. This study shows online modules are an effective form of gender‐affirming care education for GCs. This intervention can positively improve the care practicing genetic counselors provide to patients and inform future decision‐making about the development of gender‐affirming care education for genetic counselors.
Salmonella typhimurium as a causative agent of spontaneous bacterial peritonitis

Spontaneous bacterial peritonitis (SBP) is a common complication of liver cirrhosis and abdominal ascites, usually caused by organisms from the Enterobacteriaceae family. A woman in her 40s with a history of alcoholic liver cirrhosis presented to the hospital with dyspnoea, abdominal distention and diffuse abdominal pain. She was found to have sepsis and abdominal ascites, with elevated ascitic fluid neutrophil counts consistent with SBP. Culture of ascitic fluid revealed Salmonella typhimurium. Further investigation revealed that the patient shared her home with a pet bearded dragon, a reptile known to carry Salmonella spp. She was treated with intravenous ceftriaxone and oral ciprofloxacin for a total of 14 days. S. typhimurium, likely transmitted to the patient from the pet reptile, is a rare pathogen in SBP and highlights the importance of environmental exposures in the management of this condition.
Usefulness of positron‐emission tomography for predicting the World Health Organization grade of thymic epithelial tumors

It is often difficult to distinguish between thymoma and thymic carcinoma by preoperative radiological tests. While there have been some reports that the maximum standardized uptake value (SUVmax) in positron emission tomography‐computed tomography (PET‐CT) is useful to this end, no large‐scale analysis has been performed. We therefore analyzed the usefulness of the SUVmax and tumor size (TS) for differentiating thymic epithelial tumors.
optimal gradient bounds for the torsion function the plane.

Let Ω ⊂ R 2 be a bounded, convex domain and let u be the solution of − ∆ u = 1 vanishing on the boundary ∂ Ω . The estimate is classical. We use the P-functional, the stability theory of the torsion function and Brownian motion to establish the estimate for a universal c < (2 π ) − 1 / 2 . We also give a numerical construction showing that the optimal constant satisﬁes c ≥ 0 . 358 . The problem is important in diﬀerent settings: (1) as the maximum shear stress in Saint Venant Elasticity Theory, (2) as an optimal control problem for the constrained maximization of the lifetime of Brownian motion started close to the boundary, and (3) optimal Hermite-Hadamard inequalities for subharmonic functions on convex domains.