Miracle-dz/UniFAR-FTUs huggingface dataset:
Usability Testing of a New Digital Integrated Health Ecosystem (PainRELife) for the Clinical Management of Chronic Pain in Patients With Early Breast Cancer: Protocol for a Pilot Study

Background Chronic pain (CP) and its management are critical issues in the care pathway of patients with breast cancer. Considering the complexity of CP experience in cancer, the international scientific community has advocated identifying cutting-edge approaches for CP management. Recent advances in the field of health technology enable the adoption of a novel approach to care management by developing integrated ecosystems and mobile health apps. Objective The primary end point of this pilot study is to evaluate patients’ usability experience at 3 months of a new digital and integrated technological ecosystem, PainRELife, for CP in a sample of patients with breast cancer. The PainRELife ecosystem is composed of 3 main technological assets integrated into a single digital ecosystem: Fast Healthcare Interoperability Resources–based cloud platform (Nu platform) that enables care pathway definition and data collection; a big data infrastructure connected to the Fast Healthcare Interoperability Resources server that analyzes data and implements dynamic dashboards for aggregate data visualization; and an ecosystem of personalized applications for patient-reported outcomes collection, digital delivery of interventions and tailored information, and decision support of patients and caregivers (PainRELife app). Methods This is an observational, prospective pilot study. Twenty patients with early breast cancer and chronic pain will be enrolled at the European Institute of Oncology at the Division of Medical Senology and the Division of Pain Therapy and Palliative Care. Each patient will use the PainRELife mobile app for 3 months, during which data extracted from the questionnaires will be sent to the Nu Platform that health care professionals will manage. This pilot study is nested in a large-scale project named “PainRELife,” which aims to develop a cloud technology platform to interoperate with institutional systems and patients' devices to collect integrated health care data. The study received approval from the Ethical Committee of the European Cancer Institute in December 2021 (number R1597/21-IEO 1701). Results The recruitment process started in May 2022 and ended in October 2022. Conclusions The new integrated technological ecosystems might be considered an encouraging affordance to enhance a patient-centered approach to managing patients with cancer. This pilot study will inform about which features the health technological ecosystems should have to be used by cancer patients to manage CP. International Registered Report Identifier (IRRID) DERR1-10.2196/41216
Superconducting quantum detectors and single photon charge control for mass spectrometry

Since the early 20th century, molecular beam research has led to many advances in physics and chemistry, from precision molecule metrology, over tests of fundamental symmetries, and molecular quantum optics to applied mass spectrometry. All such experiments share a common interest in isolating molecules in high vacuum to eliminate any perturbing environment and to be able to probe the particle’s response to tailored optical, electrical or magnetic fields. Here we propose a scheme to explore the properties of charge-reduced or neutral biopolymers and ways to detect them without the need for post-ionization.
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

Forecasting the evolution of complex systems is noted as one of the 10 grand challenges of modern science. Time series data from complex systems capture the dynamic behaviors and causalities of the underlying processes and provide a tractable means to predict and monitor system state evolution. However, the nonlinear and non-stationary dynamics of the underlying processes pose a major challenge for accurate forecasting. For most real-world systems, the vector field of state dynamics is a nonlinear function of the state variables; i.e., the relationship connecting intrinsic state variables with their autoregressive terms and exogenous variables is nonlinear. Time series emerging from such complex systems exhibit aperiodic (chaotic) patterns even under steady state. Also, since real-world systems often evolve under transient conditions, the signals obtained therefrom tend to exhibit myriad forms of non-stationarity. Nonetheless, methods reported in the literature focus mostly on forecasting linear and stationary processes. This article presents a review of these advancements in nonlinear and non-stationary time series forecasting models and a comparison of their performances in certain real-world manufacturing and health informatics applications. Conventional approaches do not adequately capture the system evolution (from the standpoint of forecasting accuracy, computational effort, and sensitivity to quantity and quality of a priori information) in these applications.
Delay‐dependent robust stability and stabilization of uncertain neutral systems

This paper discusses the problems of the delay‐dependent robust stability and stabilization of uncertain neutral systems with time‐varying delays. Delay‐dependent stability criteria are derived by taking the relationships between the terms in the Leibniz‐Newton formula into account. Free‐weighting matrices are employed to express these relationships, and they are easy to obtain because the new criteria are based on linear matrix inequalities. Moreover, the stability criteria are extended to the design of a stabilizing state feedback controller. Numerical examples demonstrate that these criteria are effective and are an improvement on previous ones. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
Stress, Support, and Length of Diagnosis Among Women Living with HIV/AIDS in the Southern USA, During the COVID-19 Pandemic

Background Health-related challenges caused and worsened by the global COVID-19 pandemic have proven broad and multifaceted, particularly for racial/ethnic minority women living with HIV (WLWH). The 2020 pandemic has affected the wellbeing and access to care for WLWH in Southeastern Florida, a region that experienced simultaneous high rates of COVID-19 and HIV. WLWH, over a short- or long-term period, likely utilize different coping mechanisms as they face these challenges. Methods This analysis compared pandemic-related stress and support endorsed by participants attending an urban clinic in South Florida, from January through May 2021. Participants completed an adapted version of the Pandemic Stress Index (PSI). The items in the PSI assessed emotional distress, stigma, and support, and were dichotomized, as either “stress” or “support”. Mann–Whitney U-test assessed differences in distributions of PSI scores (stress and support) comparing long-term survivors (≥10 years with an HIV diagnosis) to those more recently diagnosed (<10 years). Results The cohort consisted of 63 WLWH, aged 21–71 (Mean = 42 years±12.95). The group of WLWH were almost evenly split, with 50.8% having been diagnosed in the last 10 years (short-term survivors). The high-stress group endorsed lower levels of support, compared to the low-stress group. There was a non-significant trend of higher stress scores for short-term survivors, compared to long-term survivors; and, higher support scores for long-term survivors, compared to short-term survivors. Conclusion Results suggest a trend in long-term survivor WLWH endorsing lower stress and higher support; the contrary was found for their short-term survivor counterparts. Patterns in COVID-19 related stressors and maladaptive behaviors need further exploration to establish suitable interventions that address disparities within groups of WLWH.
Tat-GSTpi Inhibits Dopaminergic Cells against MPP+-Induced Cellular Damage via the Reduction of Oxidative Stress and MAPK Activation

Glutathione S-transferase pi (GSTpi) is a member of the GST family and plays many critical roles in cellular processes, including anti-oxidative and signal transduction. However, the role of anti-oxidant enzyme GSTpi against dopaminergic neuronal cell death has not been fully investigated. In the present study, we investigated the roles of cell permeable Tat-GSTpi fusion protein in a SH-SY5Y cell and a Parkinson’s disease (PD) mouse model. In the 1-methyl-4-phenylpyridinium (MPP+)-exposed cells, Tat-GSTpi protein decreased DNA damage and reactive oxygen species (ROS) generation. Furthermore, this fusion protein increased cell viability by regulating MAPKs, Bcl-2, and Bax signaling. In addition, Tat-GSTpi protein delivered into the substantia nigra (SN) of mice brains protected dopaminergic neuronal cell death in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD animal model. Our results indicate that the Tat-GSTpi protein inhibited cell death from MPP+- and MPTP-induced damage, suggesting that it plays a protective role during the loss of dopaminergic neurons in PD and that it could help to identify the mechanism responsible for neurodegenerative diseases, including PD.
Knowledge of danger signs in pregnancy and their associated factors among pregnant women in Hosanna Town, Hadiya Zone, southern Ethiopia

Background Danger signs in pregnancy can warn of maternal health problems. In developing African countries, including Ethiopia, the rate of maternal mortality is high. There is little knowledge of danger signs during pregnancy and their associated factors at the community level in the study area. Methods A community-based, cross-sectional study was conducted to assess knowledge about danger signs among pregnant women in Hosanna Zuria Kebeles between 30 June and 30 July 2021. A simple random sampling method was used to select eligible pregnant women. The sample size was proportionally allocated based on the number of pregnant women in each kebele. Data were collected in face-to-face interviews using a pretested questionnaire. The descriptive results were presented as proportions, whereas the analytic results were presented as adjusted odds ratios (AOR). Results The prevalence of good knowledge of danger signs in pregnancy was 259/410 (63.2%, 95% confidence interval (CI) 58.3–67.8). The most common known danger signs during pregnancy were severe vaginal bleeding (n = 227, 55.4%), followed by blurred vision (n = 224, 54.6%). In the multivariable analysis, the age of the respondent (AOR = 3.29, 95% CI 1.15–9.38), the tertiary education of the mother (AOR = 5.40, 95% CI 2.56–11.34), and the number of live births (AOR = 3.95, 95% CI 2.08–7.48) were statistically significant factors. Conclusion There was an adequate prevalence of knowledge of danger signs in pregnancy among pregnant mothers compared with different studies in Ethiopia and different countries. Advanced maternal age, the respondent's level of education, and the number of live births were found to be independent determining factors for the level of knowledge on danger signs in pregnancy among pregnant mothers. Health facilities and healthcare providers should focus on antenatal care and the age and parity of the mother when giving information about danger signs in pregnancy. The Ministry of Health should provide reproductive health services in rural areas and encourage education for women. Further studies need to be conducted and include danger signs in the three trimesters using a qualitative study design.
Slow mixed convection in rectangular containers

We consider the slow motion of viscous fluid completely filling a rectangular container. The motion is generated by the combined action of differential wall temperatures and the linear motion of the lid. If the relevant Reynolds and Péclet numbers and the lid speed are all small enough, the velocity field will be governed by an inhomogeneous biharmonic equation. In this approximation the temperature field, unaffected by the fluid motion, drives, at least in part, the fluid velocity field. Of interest here are the relative effects of buoyancy and lid motion. It is shown that the field, suitably scaled, depends on the dimensionless depth and lid speed alone. The mixed convection problem is solved for two pairs of wall heating protocols by sequentially solving, by an eigenfunction expansion method, up to four biharmonic problems. We present streamline patterns and quantitative data on the relative effects of lid motion on the buoyancy-driven fields in these containers.
Clinical Validation of a Capacitive Electrocardiogram Cushion Utilized for Arrhythmias Monitoring

Textile capacitively coupled (CC) electrodes have the potential of being integrated into home textiles to realize long-term cardiac surveillance, since they are more comfortable and convenient than conventional contact electrodes. Previous study mainly focused on the measurement performance of CC-based electrocardiogram (ECG) devices, but the diagnostic value of these novel devices, such as capability of supporting preliminary arrhythmia diagnosis, has not been investigated comprehensively. In this study, we proposed a CC-based ECG cushion and assessed measurement performance and diagnostic value by a clinical test on four healthy people (HP) and seven arrhythmia patients (AP). In addition to precise measurement of critical ECG structures (true positive rate (TPR) of $R$ waves: 0.994 ± 0.006 and mean absolute error (MAE) of RR intervals: 1.690 ± 1.331 ms), the proposed cushion can provide valuable information, comparable with the Holter, for cardiologists to distinguish the normal beats, ventricular beats, and premature supraventricular contractions during long-term monitoring. In conclusion, the proposed cushion is verified to provide enough signal details for preliminary diagnosis of arrhythmia, as a promising system for disease screen and danger alarm of arrhythmia in certain scenario of long-term cardiac surveillance at home.
Rotationally inelastic scattering and potential calculations for He + CH4

In a crossed molecular beam experiment total differential cross sections and differential energy loss spectra have been measured for Ne + CH4 at 88·8 meV. The energy loss spectra taken at centre-of-mass deflection angles from 45° to 145° show appreciable energy transfer in the backward direction with a maximal energy transfer corresponding to final rotational states of j′ = 4. The total differential cross sections exhibit diffraction oscillations in the forward direction. These two data sets are compared with calculations performed in the accurate centrifugal sudden approximation both for the A- and T-symmetry of the CH4 molecule. The non-spherical potential surface, which includes the anisotropic T 3 and T 4 is determined from accurate SCF-calculations and a damped dispersion contribution using the HFD-model. The general features of the experimental data are reproduced using a simple universal damping function. However, discrepancies concerning the isotropic potential well depth and the repulsive anisotr.
Atmospheric turbulence simulator to test entanglement quality during propagation of photonic qubits

To study the effects of atmospheric turbulence on the quality of entanglement of photons propagating from a ground station to a satellite and to verify if coincidence measurements of entangled photons can be used to back out atmospheric turbulence parameters for long-distance propagation or moderate-to-strong turbulence , we built an atmospheric turbulence simulator (ATS) in a laboratory setting. The ATS comprised of two afocal systems with a Lexitek phase wheel and a Meadowlark spatial light modulator representing discrete layers of atmospheric turbulence. The ATS could represent propagation distances on the order of 1km and could theoretically simulate Rytov variances as high as 5.16 and Fried parameters as low as 0.5cm for a 1m telescope. The design parameters, numerical simulations, and experimental setup is detailed in this proceeding.
On the maximum sizes of certain (k, n)-arcs in finite projective geometries

In this paper the values of m(6)2,9, m(5)2,8 and m(5)2,9 have been determined as well as improved bounds on other arcs, and in particular a general construction for certain large arcs in planes of square order has been given. Table 5 summarizes the known values of m(n)2, q for 2 ≤ n ≤ q and q ≤ 9.
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing

Dynamic Workflow Scheduling in Fog Computing (DWSFC) is an important optimisation problem with many real-world applications. The current workflow scheduling problems only consider cloud servers but ignore the roles of mobile devices and edge servers. Some applications need to consider the mobile devices, edge, and cloud servers simultaneously, making them work together to generate an effective schedule. In this article, a new problem model for DWSFC is considered and a new simulator is designed for the new DWSFC problem model. The designed simulator takes the mobile devices, edge, and cloud servers as a whole system, where they all can execute tasks. In the designed simulator, two kinds of decision points are considered, which are the routing decision points and the sequencing decision points. To solve this problem, a new Multi-Tree Genetic Programming (MTGP) method is developed to automatically evolve scheduling heuristics that can make effective real-time decisions on these decision points. The proposed MTGP method with a multi-tree representation can handle the routing decision points and sequencing decision points simultaneously. The experimental results show that the proposed MTGP can achieve significantly better test performance (reduce the makespan by up to 50%) on all the tested scenarios than existing state-of-the-art methods.
Microbiota-ear-brain interaction is associated with generalized anxiety disorder through activation of inflammatory cytokine responses

Introduction Generalized anxiety disorder (GAD) is one of the most enduring anxiety disorders, being associated with increased systemic inflammation. However, the trigger and mechanisms underlying the activation of inflammatory cytokine responses in GAD remain poorly understood. Materials and methods We characterized the ear canal microbiome in GAD patients through 16S rRNA gene sequencing and metagenomic sequencing and identified the serum inflammatory markers in GAD patients. Spearman correlations were applied to test the relationship between the microbiota changes and systemic inflammation. Results Our findings showed the higher microbial diversity, accompanied with the significantly increased abundance of Proteobacteria, and decreased abundance of Firmicutes in the ear canal of GAD participants compared to that of the age- and sex-matched healthy controls (HC). Metagenomic sequencing showed that Pseudomonas aeruginosa were significantly increased at species-level in GAD patients. Furthermore, we observed the relative abundance of Pseudomonas aeruginosa was positively associated with elevated systemic inflammatory markers and the severity of disease, suggesting that these ear canal microbiota alterations might be correlated with GAD by activating the inflammatory response. Conclusions These findings indicate that microbiota-ear-brain interaction via upregulating inflammatory reaction involve in the development of GAD, as well as suggest that ear canal bacterial communities may be a target for therapeutic intervention.
Vector potential and magnetic field of current-carrying finite arc segment in analytical form, Part III: Exact computation for rectangular cross section

Analytical expressions for the components of the vector potential and magnetic field of a circular arc segment of a current-carrying conductor of rectangular cross section and arbitrary azimuthal length are derived. Components of the field gradient are also calculated. All the expressions developed consist of known functions such as Jacobian elliptic functions, complete and incomplete elliptic integrals of the first, second, and third kind, and thus permit a new timesaving efficient computation algorithm.
On the phase dynamics of hexagonal patterns

Physico-chemical systems driven away from thermal equilibrium usually undergo various types of instabilities leading to the formation of spatio-temporal patterns on macroscopic time and space scales. In two-dimensional geometries, patterns of different symmetries may be simultaneously stable. We study here the phase stability of hexagonal planforms in the framework of amplitude equations and reduced dynamical models close to the instability points.
Arbitrary direction incident plane wave scattering by a uniaxial anisotropic sphere

Based on orthogonality of spherical vector wave functions(SVWFs),the expansion coefficients of a plane wave,with arbitrary directions of propagation and polarization,for both transverse magnetic and transverse electric modes are obtained in terms of spherical vector wave functions.The scattering of a uniaxial anisotropic sphere illuminated by an arbitrary direction incident plane wave investigated.The internal electromagnetic fields in the anisotropic are expanded in terms of the SVWFs by introducing the Fourier Transform.By matching the fields on the boundary,the scattering coefficients are analytically derived.The effects of permittivity tensor elements,absorption,size parameter,incident angle and azimuth angle on the distribution of radar cross section are numerically analyzed in detail.
Highly Reliable and Secure PUF Using Resistive Memory Integrated Into a 28 nm CMOS Process

Owing to the increased demand for secure communication channels and authentication steps, physical unclonable functions (PUFs) are increasingly important for hardware security. In this article, we report a novel PUF architecture and generation scheme that utilizes the inherent program-time variation of resistive random access memory (ReRAM) cells as an entropy source. ReRAM cells are integrated into a standard 28 nm CMOS manufacturing process, and also show robust non-volatile memory operation. We generated a PUF data set larger than $10^{{8}}$ bits and verified its randomness using a standard NIST test suite. Further verifications such as inter- and intra-hamming distance, 150 °C data retention of PUF bits, and spatial co-relation tests confirm the high reliability of the generated PUF keys.
Intraspecific genetic diversity of the fish-infecting microsporidian parasite Pseudokabatana alburnus (Microsporidia)

Pseudokabatana alburnus is a xenoma-forming fish microsporidium, firstly described from the liver of the Culter alburnus from Poyang Lake in China. In the present study, P. alburnus was firstly reported from the ovary of 6 other East Asian minnows, including Squaliobarbus curriculus, Hemiculter leucisculus, Cultrichthys erythropterus, Pseudolaubuca engraulis, Toxabramis swinhonis, and Elopichthys bambusa. Genetic analysis revealed high sequence diversity in the ribosomal internal transcribed spacer region (ITS) and the largest subunit of RNA polymerase II (Rpb1) loci of P. alburnus isolated from different hosts and locations. The variation of Rpb1 mainly occurred in the 1,477–1737 bp regions. The presence of a wide variety of Rpb1 haplotypes within a single fish host, together with evidence of genetic recombination suggested that P. alburnus may have the intergenomic variation and sexual reproduction might be present in other hosts (possibly freshwater shrimp). Phylogenetic analysis and population genetic analysis showed that there was no geographical population divergence for P. alburnus. Homogeneity and high variability of ITS sequences indicates that ITS may be a suitable molecular marker to distinguish different P. alburnus isolates. Our data confirm the broad geographical distribution and host range of P. alburnus in the middle and lower reaches of the Yangtze River. Additionally, we emendated the genus Pseudokabatana to exclude the infection site, liver as one of the taxonomic criteria, and proposed that fish ovary was be the general infection site of P. alburnus.