Miracle-dz/UniFAR-FTUs huggingface dataset:
The patients‘ perspective - a qualitative analysis of experiencing a fracture-related infection

Introduction Fracture-related infection is a devastating complication confronting the patient with several challenges. To improve the management and to enhance the patients’ wellbeing the focus of this study was to understand the emotional impact and patients’ experiences during the process to identify challenges, difficulties, and resources. For this, a qualitative content analysis of semi-structured interviews according to Graneheim and Lundman was performed. Methods In total n = 20 patients of a German university orthopedic trauma centre specialized in bone and joint infections were recruited using a purposive sampling strategy. The patients were treated at the hospital between 2019 and 2021 and underwent at least one surgery. Individual in-person interviews were performed by one researcher based on a semi-structured guide, which was previously conceptualized. Content analysis according to Graneheim and Lundman was performed on the transcripts by two of the researchers independently. Results The following major themes emerged: (i) the emotional and mental aspects highlighting the fact that FRI patients faced severe restrictions in their day-to-day life, which resulted in dependency on others and frustration, as well as future concerns showing that patients could not overcome a state of anxiety and fear even after successful treatment, (ii) socioeconomic consequences confronting patients with consequences on the job and in finances where they often feel helpless, and (iii) resources emphasizing the role of spirituality as a coping strategy and yoga exercises for keeping the positivity. Conclusion This study emphasized the challenge of fracture-related infection management and associated consequences from the patients’ perspective. Not being well informed about possible negative outcomes or restrictions makes it harder for patients to accept the situation and patients expressed a need for better information and certainty. Also, patients developed constant anxiety and other psychological disturbances, highlighting the potential benefit of psychological support and patient-peer support to exchange experiences.
Trauma-focused treatment for traumatic stress symptoms in unaccompanied refugee minors: a multiple baseline case series

Introduction Unaccompanied refugee minors (URMs) are at increased risk of developing mental health problems, such as symptoms of posttraumatic stress disorder (PTSD) and depression. In addition, URMs face several barriers to mental health care. Few studies have evaluated trauma-focused interventions for URMs that target these issues. The current study evaluated a multimodal trauma-focused treatment approach for URMs. It aimed to provide an initial indication of the effectiveness of this treatment approach and to provide a qualitative evaluation assessing treatment satisfaction of the participating URMs. Methods A mixed-methods study was conducted among ten URMs, combining quantitative data with qualitative data through triangulation. Quantitative data were collected using a non-concurrent multiple baseline design in which repeated, weekly assessments were carried out during a randomized baseline period, during treatment, and during a 4-week follow-up period. Questionnaires assessing PTSD (Children’s Revised Impact of Event Scale) and symptoms of depression (The Patient Health Questionnaire-9, modified for adolescents) were used. In addition, treatment satisfaction was measured post-treatment using a semi-structured interview. Results During the qualitative evaluation, all but one URM noted they found the trauma-focused treatment approach useful and felt the treatment had positively impacted their wellbeing. However, the results of the quantitative evaluation did not show clinically reliable symptom reductions at posttest or follow-up. Implications for clinical practice and research are discussed. Discussion The current study presents our search in developing a treatment approach for URMs. It adds to the current knowledge about methodological considerations in evaluating treatments for URMs, the potential effects of trauma-focused treatments on URMs, and the implementation of treatments for URMs. Clinical trial registration: The study was registered in the Netherlands Trial Register (NL8519), 10 April 2020.
Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea

The marine Mesozoic is widely distributed in the northeastern waters of the South China Sea and is an important field for oil-gas exploration in the South China Sea. The Chaoshan Depression is the largest residual depression in this sea. At a previous well, LF35-1-1, no oil and gas have been discovered with then pre-drilling prediction techniques. Post-drill analysis shows that the physical properties of the Mesozoic reservoir are not favorable there. So, in accurate prediction of the oil-gas reservoirs is necessary. Since the drilling at the LF35-1-1, extensive surveys and studies have been carried out which shows a number of favorable trapping structures. In the middle low bulge of the Chaoshan Depression, the DS-A structures found with potential reservoirs, complete trap structures, and dual source hydrocarbon supply on both sides, making it the most favorable zone for oil-gas accumulation. We apply the state of art prediction techniques for it using pre-stack seismic raw gather. The sensitivity analysis results of reservoir physical properties indicate that the difference in P- wave velocity between sand and mudstone is 500 m/s, the difference in density is 0.02 g/cm3, and the Poisson’s ratio ranges between 0.11 and 0.33. The Mesozoic sandstone reservoirs in the Chaoshan Depression have characteristics of high velocity and low Poisson’s ratio, and the P-wave velocity, density, and Poisson’s ratio are the main sensitive parameters for predicting reservoir and its oil-gas bearing properties. The density inversion, P-wave impedance inversion, and S-wave impedance inversion jointly characterize the “wedge-shaped” sand body in the DS-A structural area, with a maximum thickness of over 400 m and an area of ∼130 km2. The overlap of the sand body contour map and Poisson’s ratio inversion results indicates that the “wedge-shaped” sand body is an oil-gas bearing sand body. It can be concluded that pre-stack elastic parameter inversion is an effective method for reservoir prediction in deep-sea no-well exploration areas. It has the characteristics of high signal-to-noise ratio, strong stability and reliability, and high accuracy, which is conducive to reduce the non-uniqueness and uncertainty of seismic inversion. The inversion results predict that the DS-A structure is an oil-gas bearing structure.
Serological screening of SARS-CoV-2 infection in companion animals of Buenos Aires suburbs

The Coronavirus Disease 2019 (COVID-19) is a zoonotic disease caused by the pandemic virus SARS-CoV-2. Domestic and wild animals are susceptible to infection and are potential reservoirs for virus variants. To date, there is no information about the exposure of companion animals in Buenos Aires Suburbs, the area with the largest population in Argentina where the highest number of COVID-19 human cases occurred during the first infection wave. Here we developed a multi-species indirect ELISA to measure antibodies reactive to the SARS-CoV-2 receptor-binding domain (RBD) from several vertebrates constituting the class Mammalia, making it a valuable tool for field serosurveillance. The ELISA cut-off value was estimated by sera from dogs, cats, cattle, and pigs sampled before 2019 (n = 170), considering a 98% percentile and a grey zone to completely exclude any false positive result. Specificity was confirmed by measuring levels of neutralizing antibodies against canine coronavirus, the avidity of specific antibodies, and their capacity to impede the binding of a recombinant RBD protein to VERO cells in an In-Cell ELISA. Sera from 464 cats and dogs sampled in 2020 and 2021 (“pandemic” samples) were assessed using the RBD-ELISA. Information on COVID-19 disease in the household and the animals’ lifestyles was collected. In Buenos Aires Suburbs cats were infected at a higher proportion than dogs, seroprevalence was 7.1 and 1.68%, respectively. Confirmed COVID-19 in the caregivers and outdoor lifestyle were statistically associated with seropositivity in cats. The risk of cats getting infected living indoors in COVID-19-negative households was null. The susceptibility of mammals to SARS-CoV-2, the possibility of transmission between animals themselves and humans, together with the free-roaming lifestyle typical of Buenos Aires suburban companion animals, urge pursuing responsible animal care and avoiding human interaction with animals during the disease course. The multi-species RBD-ELISA we developed can be used as a tool for serosurveillance of SARS-CoV-2 infection in mammalians (domestic and wild), guiding further targeted virological analyses to encounter susceptible species, interspecies transmission, and potential virus reservoirs in our region.
Binocular imbalance in patients after implantable collamer lens V4c implantation or femtosecond laser-assisted in situ keratomileusis for myopia with presbyopia

Aim To investigate the long-term safety, efficacy, and binocular balance of monovision surgery using Implantable Collamer Lens (ICL) V4c implantation and Femtosecond Laser-Assisted in situ Keratomileusis (FS-LASIK) for the treatment of myopic patients with presbyopia. Methods This case series study involved 90 eyes of 45 patients (male/female = 19/26; average age:46.27 ± 5.54 years; average follow-up time:48.73 ± 14.65 months) who underwent the aforementioned surgery to treat myopic presbyopes. Data on manifest refraction, corrected distance visual acuity, dominant eye, presbyopic addition, intraocular pressure, and anterior segment biometric parameters were collected. The visual outcomes and binocular balance at 0.4 m, 0.8 m, and 5 m were documented. Results The safety index for the ICL V4c and FS-LASIK groups were 1.24 ± 0.27 and 1.04 ± 0.20 (p = 0.125), respectively. Binocular visual acuity (logmar) for 0.4 m, 0.8 m, and 5 m were −0.03 ± 0.05, −0.03 ± 0.02, and 0.10 ± 0.03 for the ICL V4c group, and −0.02 ± 0.09, −0.01 ± 0.02, and 0.06 ± 0.04 for the FS-LASIK group, respectively. The proportions of all patients with imbalanced vision at 0.4 m, 0.8 m, and 5 m distances were 68.89, 71.11, and 82.22%, respectively (all p > 0.05 between the two groups). There were significant differences in refraction between the balanced and imbalanced vision for patients at 0.4 m distance (for non-dominant eye spherical equivalent [SE]: −1.14 ± 0.17D and −1.47 ± 0.13D, p < 0.001), 0.8 m distance (for preoperative ADD:0.90 ± 0.17D and 1.05 ± 0.11D, p = 0.041), and 5 m distance (for non-dominant SE: −1.13 ± 0.33D and −1.42 ± 0.11D, p < 0.001). Conclusion ICL V4c implantation and FS-LASIK monovision treatment demonstrated good long-term safety and binocular visual acuity at various distances. After the procedure, the imbalanced patients’ vision is primarily related to the age-related presbyopia and anisometropia progression caused by the monovision design.
Measures to Contain the Transmission of Hepatitis C in a Chronic Kidney Care Hospital Unit in the Triângulo Mineiro in Brazil: A Case Study

Objectives: Hepatitis C virus elimination is complex. The objective was to analyze measures to eliminate virus transmission in a hemodialysis unit. Methods: Case study composed of multiple units of analysis. The scenario is the hemodialysis unit of a Brazilian public hospital. Population composed of health service records. Descriptive analyzes were performed and the beginning of the event was considered as the moment of increased incidence of HCV. The intentional and purposeful collection of information for understanding the event and implementing interventions. Results: The subunits of analysis were related to: clinical-epidemiological profile, active search, transmission routes, management protocol and results achieved. In August 2019, out of 45 patients, six were reactive for anti-HCV. All received treatment. Patients had exposure to contaminated medical equipment, objects or hands of professionals. Preventive measures were adopted and routine techniques were corrected. Situational Analysis Committee guided the management of the event. No new cases were detected. Conclusions: Strategies for the microelimination of the C virus in a dialysis environment are demonstrated and it shows the multidisciplinary efforts in conducting the event.
PRDM16 regulates arterial development and vascular integrity

Proper vascular formation is regulated by multiple signaling pathways. The vascular endothelial growth factor (VEGF) signaling promotes endothelial proliferation. Notch and its downstream targets act to lead endothelial cells toward an arterial fate through regulation of arterial gene expression. However, the mechanisms of how endothelial cells (ECs) in the artery maintain their arterial characteristics remain unclear. Here, we show that PRDM16 (positive regulatory domain-containing protein 16), a zinc finger transcription factor, is expressed in arterial ECs, but not venous ECs in developing embryos and neonatal retinas. Endothelial-specific deletion of Prdm16 induced ectopic venous marker expression in the arterial ECs and reduced vascular smooth muscle cell (vSMC) recruitment around arteries. Whole-genome transcriptome analysis using isolated brain ECs show that the expression of Angpt2 (encoding ANGIOPOIETIN2, which inhibits vSMC recruitment) is upregulated in the Prdm16 knockout ECs. Conversely, forced expression of PRDM16 in venous ECs is sufficient to induce arterial gene expression and repress the ANGPT2 level. Together, these results reveal an arterial cell-autonomous function for PRDM16 in suppressing venous characteristics in arterial ECs.
Mental healthcare services satisfaction and its associated factors among patients with mental disorders on follow-up in the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia

Background Patient mental healthcare services satisfaction is a crucial component in evaluating the effectiveness and efficiency of clinical service delivery. It can be explained as the client’s reaction to various aspects of the services they receive and their subjective assessment of the healthcare facilities and healthcare givers. Despite the importance of measuring mental healthcare services satisfaction, few studies have been conducted in Ethiopia. This study aimed to assess the prevalence of mental healthcare services satisfaction among patients with mental disorders who were on follow-up at the University of Gondar Specialized Hospital, Northwest Ethiopia. Method An institution-based cross-sectional study was conducted from June 1, 2022 to July 21, 2022. All the study participants were interviewed on the follow-up visit consecutively. The Mental Healthcare Services Satisfaction Scale tool was used to measure patient satisfaction, and the Oslo-3 Social Support Scale and other questionnaires, such as environmental factors and clinical factors, were also screened. The data were checked for completeness, entered and coded using Epi-data version 4.6, and exported to Stata version 14 software for analysis. Bivariable logistic and multivariable regression analyses were employed to identify the factors significantly associated with satisfaction. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to report the result at a p-value of <0.05. Results A total of 402 study participants were included in this study, with a response rate of 99.7%. The proportions of male and female participants who were satisfied with the mental healthcare services were 59.29 and 40.70%, respectively. The overall mental healthcare services satisfaction was 65.46% with a 95% CI of 59.90, 70.62. Not being admitted to psychiatry [AOR: 4.94; 95% CI (1.30, 8.76)], getting their drugs in the hospital [AOR: 1.34; 95% CI (3.58, 8.74)], and having strong social support [AOR: 6.40; 95% CI (2.64, 8.28)] were significantly associated with satisfaction. Conclusion The prevalence of mental healthcare services satisfaction is very low; therefore, more is expected to be done to enhance the satisfaction of the patients who access these services via psychiatry clinics. Enhancing the social support of clients, making drugs available in the hospital, and improving the service received by the admitted client are necessary to increase the healthcare service satisfaction of clients on the whole. The services delivered in psychiatry units must be improved to achieve good patient satisfaction, which might be helpful for the improvement of the disorders.
Exploration of the etiology of single small subcortical infarctions using high-resolution vessel wall MRI

Objective We aimed to explore imaging indicators for diagnosing the etiology of single small subcortical infarctions (SSI) using high-resolution vessel wall imaging (HR-VWI). Methods Patients with acute isolated subcortical cerebral infarction were prospectively enrolled and classified as having large artery atherosclerosis (LAA), stroke of undetermined etiology (SUD), or small artery disease (SAD). The infarct information, the cerebral small vessel disease (CSVD) score, morphological characteristics of the lenticulostriate arteries (LSAs), and plaque characteristics were compared between the three groups. Results Seventy seven patients were enrolled (30 LAA, 28 SUD, and 19 SAD). The total CSVD score of the LAA (P = 0.001) and SUD groups (P = 0.017) was significantly lower than that of the SAD group. The number and total length of LSA branches in the LAA and SUD groups were shorter than in the SAD group. Moreover, the total length laterality index (LI) of the LSAs in the LAA and SUD groups was greater than in the SAD group. The total CSVD score and LI of total length were independent predictors for the SUD and LAA groups. The remodeling index of the SUD group was significantly higher than that of the LAA group (P = 0.002); positive remodeling was dominant in the SUD group (60.7%), whereas remodeling in the LAA group was primarily non-positive (83.3%). Conclusions SSI with and without plaques on the carrier artery may have different modes of pathogenesis. Patients with plaques may also have a coexisting mechanism of atherosclerosis.
A regression method for EEG-based cross-dataset fatigue detection

Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When faced with new datasets, the existing fatigue detection model needs a large amount of electroencephalogram (EEG) data for training, which is resource-consuming and impractical. Although the cross-dataset fatigue detection model does not need to be retrained, no one has studied this problem previously. Therefore, this study will focus on the design of the cross-dataset fatigue detection model. Methods: This study proposes a regression method for EEG-based cross-dataset fatigue detection. This method is similar to self-supervised learning and can be divided into two steps: pre-training and the domain-specific adaptive step. To extract specific features for different datasets, a pretext task is proposed to distinguish data on different datasets in the pre-training step. Then, in the domain-specific adaptation stage, these specific features are projected into a shared subspace. Moreover, the maximum mean discrepancy (MMD) is exploited to continuously narrow the differences in the subspace so that an inherent connection can be built between datasets. In addition, the attention mechanism is introduced to extract continuous information on spatial features, and the gated recurrent unit (GRU) is used to capture time series information. Results: The accuracy and root mean square error (RMSE) achieved by the proposed method are 59.10% and 0.27, respectively, which significantly outperforms state-of-the-art domain adaptation methods. Discussion: In addition, this study discusses the effect of labeled samples. When the number of labeled samples is 10% of the total number, the accuracy of the proposed model can reach 66.21%. This study fills a vacancy in the field of fatigue detection. In addition, the EEG-based cross-dataset fatigue detection method can be used for reference by other EEG-based deep learning research practices.
Effects of additive sensory noise on cognition

Background Adding noise to a system to improve a weak signal’s throughput is known as stochastic resonance (SR). SR has been shown to improve sensory perception. Some limited research shows noise can also improve higher order processing, such as working memory, but it is unknown whether SR can broadly improve cognition. Objective We investigated cognitive performance while applying auditory white noise (AWN) and/or noisy galvanic vestibular stimulation (nGVS). Methods We measured cognitive performance (n = 13 subjects) while completing seven tasks in the cognition test battery (CTB). Cognition was assessed with and without the influence of AWN, nGVS, and both simultaneously. Performance in speed, accuracy, and efficiency was observed. A subjective questionnaire regarding preference for working in noisy environments was collected. Results We did not find broad cognitive performance improvement under the influence of noise (p > 0.1). However, a significant interaction was found between subject and noise condition for accuracy (p = 0.023), indicating that some subjects exhibited cognitive changes with the addition of noise. Across all metrics, noisy environment preference may trend to be a potential indicator of whether subjects will exhibit SR cognitive benefits with a significant predictor in efficiency (p = 0.048). Conclusion This study investigated using additive sensory noise to induce SR in overall cognition. Our results suggest that using noise to improve cognition is not applicable for a broad population; however, the effect of noise differs across individuals. Further, subjective questionnaires may be a means to identify which individuals are sensitive to SR cognitive benefits, but further investigation is needed.