Miracle-dz/UniFAR-FTUs huggingface dataset:
Management perspectives from patients with fibromyalgia experiences with the healthcare pathway: a qualitative study

Background Fibromyalgia is a prevalent condition affecting 1–2% of the general population and can result in significant disability. Physicians and patients frequently encounter challenges in managing this condition. Aim The aim of this study was to explore novel management approaches through a qualitative analysis of the doctor-patient relationship. Design and setting Telephonic interviews were conducted with fibromyalgia patients to investigate their healthcare experiences. Methods Qualitative analysis was performed on patients' narratives using interpretative phenomenological analysis, a methodology that delves into each individual's subjectivity. Results A total of 19 adult patients with fibromyalgia, primarily middle-aged women (84% women, mean age 49.8 years), recruited from two university centers in Paris, were included in the study. The narratives of participants revealed substantial suffering and considerable functional impairment, which is paradoxical for a condition often considered benign. They reported an ongoing sense of loss of control, exacerbated by an imbalanced patient-doctor relationship. Patients constantly feared not being heard or believed, and they frequently sought attention from their caregivers. Most participants displayed significant ambivalence toward the nature of their condition and actively sought causal links. Patients' adaptive strategies sometimes worsened their symptoms, as in the case of muscular deconditioning. The healthcare system appeared deficient in managing these patients, characterized by a lack of health professional training, frequent inappropriate responses from healthcare providers, and stigmatization of psychological conditions. Conclusion Despite its perceived benign nature, fibromyalgia should be regarded as a severe condition due to its substantial long-term consequences. Participants reported a challenging experience with the doctor-patient relationship, marked by a strong sense of dependence and a lack of recognition. The care pathway for these patients appeared unsuitable and disorderly, potentially resulting in iatrogenic consequences. The management of patients with fibromyalgia should be enhanced and directed toward a patient-centered approach. The study provides practical recommendations regarding communication methods and patient care.
Commencement of nocturnal restlessness in the European Robin Erithacus rubecula during migration

Bulyuk, V.N. & Mukhin, A. (1999): Commencement of nocturnal restlessness in the European Robin Erithacus rubecula during migration. Avian Ecol. Behav. 3: 79-90. We studied the time of onset of nocturnal migratory restlessness in the European Robin during spring and autumn migration. In 1996-1998 birds were specially trapped an hour or two before sunset in spring (10 April - 20 May; n = 219) and in autumn (7 September- 4 November; n = 287) and put in separate cages under the open sky with a view of sunset and the stars. Their behaviour was watched through infrared vision binoculars or recorded in automatic registration cages. Birds were released before sunset. In autumn, nocturnal restlessness was recorded in 18.1% of freshly captured Robins (15.7% and 22.6% in September and October, respectively). The proportion of Robins that displayed nocturnal activity was significantly positively related to their fat stores. Time of onset of nocturnal activity varied in different individuals between the second and the ninth hour after sunset (median 180 min). In September the median time was 155 min, in October 195 min. In November in four Robins out of seven nocturnal activity started five hours after sunset. In birds with large fat stores there was an observable trend to start nocturnal activity earlier in respect to sunset, than in leaner birds. In spring, nocturnal activity was recorded in 17.3% of freshly trapped Robins (16.7% and 18.4% in April and May, respectively). The time of onset of nocturnal restlessness varied between the second and the sixth hour after sunset (median 150 min). In late April the median was 147 min, in early May 153 min. Birds trapped during waves of passage (mass transit migration) tended to start nocturnal restlessness earlier in respect to sunset than conspecifics captured during migratory pauses. In birds held in captivity for some time, the proportion of active birds was much higher than in freshly trapped ones (65.8% in autumn, 60% in spring), the median being shifted towards the sunset: for 28 min in autumn and for 47 min in spring. The difference between freshly trapped and caged individuals are explained by higher fat scores of the latter, and by their delay on the migratory route. Variation in the timing of the onset of nocturnal activity in caged Robins is discussed, together with the relationship between behaviour in cages and migratory take-off activity in the wild.
Carbapenemase genes distribution in clonal lineages of Acinetobacter baumannii: a comprehensive study on plasmids and chromosomes

Background The global spread of plasmids carrying carbapenemase genes within carbapenem resistant Acinetobacter baumannii (CRAB) strains poses a worldwide public health issue. In this study, we conducted a comprehensive genetic analysis of plasmids and chromosomes harboring the major carbapenemase genes (bla NDM, bla KPC, bla VIM, bla IMP, bla GES, bla OXA-58-like, bla OXA-24/40-like, bla OXA-143-like, and bla OXA-23-like) in CRAB strains using bioinformatic tools. Methods We retrieved plasmids and chromosomes carrying the major carbapenemase genes from GenBank. The size, replicon type, and conjugal apparatus of the plasmids were also determined. Furthermore, allele types, co-existence of other antimicrobial resistance genes alongside carbapenemases in plasmids or chromosomes, co-occurrence of carbapenemase genes, gene repetition, and sequence types (ST) of whole genomes were characterized. Results The database contained 113 plasmids and 38 chromosomes harboring carbapenemase genes. This investigation revealed that bla NDM and bla OXA-58-like were the predominant allele types in both the plasmids and chromosomes. Nine (7.96%) plasmids with bla NDM-1 were potentially conjugative. The most common replicon types of the plasmids were R3-T1, R3-T8, R3-T2, R3-T23, and RP-T1. The analysis revealed that bla NDM-1 and bla OXA-58-like genes possessed the highest variety of co-existence with other antibiotic resistance genes. The co-occurrence of dual carbapenemases was identified in 12 plasmids and 19 chromosomes. Carbapenemase gene repetitions were identified in 10 plasmids and one chromosome. Circular alignment revealed that the plasmids carrying the co-occurrence of bla NDM-1 and bla OXA-58 were more homogeneous. However, there was heterogeneity in certain regions of these plasmids. According to the minimum spanning tree (MST) results, the majority of the plasmids belonged to the genomes of ST2Pas, ST1Pas, ST422Pas, ST622Pas, and ST85Pas. Conclusion A. baumannii appears to have a strong ability for genome plasticity to incorporate carbapenemase genes on its plasmids and chromosomes to develop resistance against carbapenems. Mobilizable plasmids harboring carbapenemases significantly contribute to the dissemination of these genes. The genetic structure of the plasmids revealed a strong associations of class I integrons, ISAba-like structures, Tn4401 elements, and aac (6′)-Ib with carbapenemases. Furthermore, gene repetition may also be associated with carbapenem heteroresistance.
Active milliseconds zooming and tracking optics based on liquid lenses and a high-speed gaze controller

The traditional method of monitoring cameras is employed in robot vision, surveillance cameras, and so on. However, it cannot track as fast as expected due to the large inertia of the camera and mechanical pan-tilt. It also decreases the optical resolution because of the digital zoom on the interest area. Therefore, we proposed high-speed zooming and tracking optics that consists of an optical zooming unit and an active tracking unit. The two units are designed with coaxial optical paths by a beam splitter. The zooming unit is built with three liquid lenses, one glass lens, and a high-speed camera. It can continuously change the magnification from 1x to 2x. By controlling the optical powers of three liquid lenses, the focal length of the zooming unit can be changed from 40 to 80 mm within milliseconds. The tracking unit composed of a high-speed mirror-based gaze controller, a high-speed camera, and pupil shift optics, can track the object and keep it in the center of both views. In addition, the zooming unit provides a compensation algorithm for the zooming unit to achieve adaptive zoom accurately. The experiment shows that the zooming unit performs adaptive optical zoom, and the tracking unit recognizes the object by adaptive tracking algorithm within 6 milliseconds.
Mathematical and Numerical Investigations for a Cholera Dynamics With a Seasonal Environment

We propose a mathematical model for the vibrio cholerae spread under the influence of a seasonal environment with two routes of infection. We proved the existence of a unique bounded positive solution, and that the system admits a global attractor set. The basic reproduction number R0 was calculated for both cases, the fixed and seasonal environment which permits to characterise both, the extinction and the persistence of the disease. We proved that the phage-free equilibrium point is globally asymptotically stable if R0≤1, while the disease will be persist if R0>1. Finally, extensive numerical simulations are given to confirm the theoretical findings.
Shear velocity structure beneath the central United States: implications for the origin of the Illinois Basin and intraplate seismicity

We present new estimates of lithospheric shear velocities for the intraplate seismic zones and the Illinois Basin in the U.S. midcontinent by analyzing teleseismic Rayleigh waves. We find that relatively high crustal shear velocities (VS) characterize the southern Illinois Basin, while relatively low crustal velocities characterize the middle and lower crust of the central and northern Illinois Basin. The observed high crustal velocities may correspond to high‐density mafic intrusions emplaced into the crust during the development of the Reelfoot Rift, which may have contributed to the subsidence of the Illinois Basin. The low crustal VS beneath the central and northern basin follow the La Salle deformation belt. We also observe relatively low velocities in the mantle beneath the New Madrid seismic zone where VS decreases by about 7% compared to those outside of the rift. The low VS in the upper mantle also extends beneath the Wabash Valley and Ste. Genevieve seismic zones. Testing expected VS reductions based on plausible thermal heterogeneities for the midcontinent indicates that the 7% velocity reduction would not result from elevated temperatures alone. Instead this scale of anomaly requires a contribution from some combination of increased iron and water content. Both rifting and interaction with a mantle plume could introduce these compositional heterogeneities. Similar orientations for the NE‐SW low‐velocity zone and the Reelfoot Rift suggest a rift origin to the reduced velocities. The low VS upper mantle represents a weak region and the intraplate seismic zones would correspond to concentrated crustal deformation above weak mantle.
Measuring students’ conceptual understanding of real functions: A Rasch model analysis

Understanding the concepts related to real function is essential in learning mathematics. To determine how students understand these concepts, it is necessary to have an appropriate measurement tool. In this paper, we have created a web application using 32 items from conceptual understanding of real functions (CURF) item bank. We conducted a psychometric analysis using Rasch model on 207 first-year students. The analysis showed that CURF is a dependable and valid instrument for measuring students’ CURF. The test is uni-dimensional; all items are consistent with the construct and have excellent item fit statistics. The results indicate that the items are independent of each other and unbiased towards the gender and high school background of the students.
Tracking Hydrocarbon Plume Transport and Biodegradation at Deepwater Horizon

The Deepwater Horizon blowout is the largest offshore oil spill in history. We present results from a subsurface hydrocarbon survey using an autonomous underwater vehicle and a ship-cabled sampler. Our findings indicate the presence of a continuous plume of oil, more than 35 kilometers in length, at approximately 1100 meters depth that persisted for months without substantial biodegradation. Samples collected from within the plume reveal monoaromatic petroleum hydrocarbon concentrations in excess of 50 micrograms per liter. These data indicate that monoaromatic input to this plume was at least 5500 kilograms per day, which is more than double the total source rate of all natural seeps of the monoaromatic petroleum hydrocarbons in the northern Gulf of Mexico. Dissolved oxygen concentrations suggest that microbial respiration rates within the plume were not appreciably more than 1 micromolar oxygen per day.
CO2 and CO Capture on the ZnO Surface: A GCMC and Electronic Structure Study

The amount of polluting gases released into the atmosphere has grown drastically. Among them, it is possible to cite the release of CO2 and CO gases on a large scale as one of the products of the complete and incomplete combustion of petroleum-derived fuels. It is worth noting that the production of energy by burning fossil fuels supplies the energy demand but causes environmental damage, and several studies have addressed the reduction. One of them is using materials with the potential to capture these gases. The experimental and theoretical studies have significant contributions that promote advances in this area. Among the materials investigated, ZnO has emerged, demonstrating the considerable potential for capturing various gases, including CO2 and CO. This work used density functional theory (DFT) and Grand Canonical Monte Carlo Method (GCMC) to investigate the adsorption of CO2 and CO on the surface of Zinc oxide (ZnO) to obtain adsorption isotherms and interaction energy and the interaction nature. The results suggest that CO2 adsorption slightly changed the angle of the O–C–O to values less than 180°. For the CO, its carbon atom interacts simultaneously with Zn and O of the ZnO surface. However, CO interactions have an ionic character with a lower binding energy value than the CO2 interaction. The energies calculated using the PM6 and DFT methods generated results compatible with the experimental values. In applications involving a mixture of these two gases, the adsorption of CO2 should be favored, and there may be inhibition of the adsorption of CO for high CO2 concentrations.
Minimum-Fuel Low-Thrust Trajectory Optimization Via a Direct Adaptive Evolutionary Approach

— Space missions with low-thrust propulsion systems are of appreciable interest to space agencies because of their practicality due to higher specific impulses. This research proposes a technique to the solution of minimum-fuel non-coplanar orbit transfer problem. A direct adaptive method via Fitness Landscape Analysis (FLA) is coupled with a constrained evolutionary technique to explore the solution space for designing low-thrust orbit transfer trajectories. Taking advantage of the solution for multi-impulse orbit transfer problem, and parameterization of thrust vector, the orbital maneuver is transformed into a constrained continuous optimization problem. A constrained Estimation of Distribution Algorithms (EDA) is utilized to discover optimal transfer trajectories, while maintaining feasibility of the solutions. The low-thrust trajectory optimization problem is characterized via three parameters, referred to as problem identifiers, and the dispersion metric is utilized for analyzing the complexity of the solution domain. Two adaptive operators including the kernel density and outlier detection distance threshold within the framework of the employed EDA are developed, which work based on the landscape feature of the orbit transfer problem. Simulations are proposed to validate the efficacy of the proposed methodology in comparison to the non-adaptive approach. Results indicate that the adaptive approach possesses more feasibility ratio and higher optimality of the obtained solutions.
Neurotechnological solutions for post‐traumatic stress disorder: A perspective review and concept proposal

Abstract Post‐traumatic stress disorder (PTSD) is an anxiety condition caused by exposure to severe trauma. It is characterised by nightmares, flashbacks, hyper‐vigilance and avoidance behaviour. These all lead to impaired functioning reducing quality of life. PTSD affects 2–5% of the population globally. Most sufferers cannot access effective treatment, leading to impaired psychological functioning reducing quality of life. Eye movement desensitisation and reprocessing (EMDR) is a non‐invasive brain stimulation treatment that has shown significant clinical effectiveness in PTSD. Another treatment modality, that is, trauma‐focused cognitive behavioural therapy is also an effective intervention. However, both evidence‐based treatments are significantly resource intensive as they need trained therapists to deliver them. A concept of a neuro‐digital tool for development is proposed to put to clinical practice of delivering EMDR to improve availability, efficiency and effectiveness of treatment. The evidence in using new technologies to measure sleep, geolocation and conversational analysis of social media to report objective outcome measures is explored. If achieved, this can be fed back to users with data anonymously collated to evaluate and improve the tool. Coproduction would be at the heart of product development so that the tool is acceptable and accessible to people with the condition.
A Fish Meat Freshness Detector for IoT-Based Seafood Market Applications

A new work of a fish meat freshness detector for Internet-of-Things (IoT)-based seafood market applications is presented. Unsimilar to past works, the proposed detector is designed to conquer an influence of low-frequency band noise generated by electrical devices used in the seafood market, such as electric fish scalers or pin-bone removers. Via the proposed detector, the information of fish meat freshness is able to be obtained clearly and conveniently transmitted by IoT devices. The measured standing time (i.e., the fish meat was exposed in the air and room temperature 27 °C) was 0–55 min, and 76.3–69.5 dB of the measured corresponding signal-to-noise-distortion ratio (SNDR) is guaranteed. Thus, a linear phenomenon of the standing time versus the SNDR can be resulted in. Finally, a validation to verify the proposed detector used in the seafood market was successfully proven.
Silurian chitons as indicators of rocky shores and lowstand on Gotland, Sweden

Unusually abundant, diverse, and well-preserved assemblages of silicified chitons (Polyplacophora, Mollusca), dominated by Chelodes, from the Silurian of Gotland, Sweden, have a very limited stratigraphic and facies distribution. The Gotland succession (upper Llandovery-upper Ludlow) represents a segment of a low-latitude, low-angle carbonate ramp, with major reef systems, and is characterized by rich benthic faunas. Chitons are concentrated within two intervals in the late Wenlock (Gothograptus nassa-Pristiograptus ludensis biozones) and late Ludlow (Saetograptus leintwardinensis-Bohemograptus bohemicus tenuis-Neocucullograptus kozlowskii biozones), which correspond to periods of lowstand recognized as sequence stratigraphic boundaries. At both horizons, detailed carbonate lithofacies relationships indicate inshore, very shallow shelfzones with reduced sedimentation, and at the higher level there is karstification. Chitons are not preserved in situ but are derived very locally. Among high-energy calcarenites, assemblages are poorly preserved and of low diversity; the best preservation, of a high-diversity assemblage including small and delicate sclerites, occurs among pockets of soft-bottom, possibly lagoonal sediments associated with tidal, reef-shoal environments. Recent chitons are most common and diverse in high littoral to intertidal zones of rocky shores. Such environments have low preservation potential, and chitons have a sparse fossil record. The Gotland chitons are paleoloricates, but evidence from cyclic growth variations on sclerites suggests similar life histories to Recent, neoloricate chitons. Reconstructions based on sclerite morphology and degree of overlap illustrate the diverse assemblage; some are notably elongate by comparison with Recent chitons. The highly localized distribution of chitons on Gotland appears to reinforce broader carbonate lithofacies and biofacies evidence ofproximity to the shoreline, or to emergent tidal flats, of the Baltoscandian Basin.
Mapping fragmentation: Electronics and automobiles in East Asia and Latin America

"Fragmentation", the relocation of processes or functions across countries in response to cost and other differences, has important implications for development. We discuss the drivers of fragmentation and map it for electronics and automotives in East Asia (EA) and Latin America. For technical reasons, electronics is fragmenting faster world-wide than the auto industry. Electronics networks are more advanced, widespread and integrated in EA than Latin America and the Caribbean (LAC), and are largely responsible for EA's rapid export growth. The auto network is more advanced in LAC but is slower growing and is not integrated into a regional system. Apart from Mexico, LAC lacks an electronics network, partly accounting for the region's weak export performance. We offer insights into the following: Why do industries fragment differently? How can fragmentation be measured? Why does fragmentation in developing countries concentrate on EA and LAC? Why has fragmentation evolved differently in these two regions? Can other developing regions attract and benefit from fragmentation?
StressNet: a spatial-spectral-temporal deformable attention-based framework for water stress classification in maize

In recent years, monitoring the health of crops has been greatly aided by deploying highthroughput crop monitoring techniques that integrate remotely captured imagery and deep learning techniques. Most methods rely mainly on the visible spectrum for analyzing the abiotic stress, such as water deficiency in crops. In this study, we carry out experiments on maize crop in a controlled environment of different water treatments. We make use of a multispectral camera mounted on an Unmanned Aerial Vehicle for collecting the data from the tillering stage to the heading stage of the crop. A pre-processing pipeline, followed by the extraction of the Region of Interest from orthomosaic is explained. We propose a model based on a Convolution Neural Network, added with a deformable convolutional layer in order to learn and extract rich spatial and spectral features. These features are further fed to a weighted Attention-based Bi-Directional Long Short-Term Memory network to process the sequential dependency between temporal features. Finally, the water stress category is predicted using the aggregated Spatial-Spectral-Temporal Characteristics. The addition of multispectral, multi-temporal imagery significantly improved accuracy when compared with mono-temporal classification. By incorporating a deformable convolutional layer and Bi-Directional Long Short-Term Memory network with weighted attention, our proposed model achieved best accuracy of 91.30% with a precision of 0.8888 and a recall of 0.8857. The results indicate that multispectral, multi-temporal imagery is a valuable tool for extracting and aggregating discriminative spatial-spectral-temporal characteristics for water stress classification.