Miracle-dz/UniFAR-FTUs huggingface dataset:
Comprehensive Multimorbidity Patterns in Older Patients Are Associated with Quality Indicators of Medication—MoPIM Cohort Study

Multimorbidity is increasing and poses a challenge to the clinical management of patients with multiple conditions and drug prescriptions. The objectives of this work are to evaluate if multimorbidity patterns are associated with quality indicators of medication: potentially inappropriate prescribing (PIP) or adverse drug reactions (ADRs). A multicentre prospective cohort study was conducted including 740 older (≥65 years) patients hospitalised due to chronic pathology exacerbation. Sociodemographic, clinical and medication related variables (polypharmacy, PIP according to STOPP/START criteria, ADRs) were collected. Bivariate analyses were performed comparing previously identified multimorbidity clusters (osteoarticular, psychogeriatric, minor chronic disease, cardiorespiratory) to presence, number or specific types of PIP or ADRs. Significant associations were found in all clusters. The osteoarticular cluster presented the highest prevalence of PIP (94.9%) and ADRs (48.2%), mostly related to anxiolytics and antihypertensives, followed by the minor chronic disease cluster, associated with ADRs caused by antihypertensives and insulin. The psychogeriatric cluster presented PIP and ADRs of neuroleptics and the cardiorespiratory cluster indicators were better overall. In conclusion, the associations that were found reinforce the existence of multimorbidity patterns and support specific medication review actions according to each patient profile. Thus, determining the relationship between multimorbidity profiles and quality indicators of medication could help optimise healthcare processes. Trial registration number: NCT02830425.
Control of the Air‐Sea Oxygen to Heat Flux Ratio During Deep Convection Events

Earth System Models project a decline of dissolved oxygen in the oceans due to climate warming. Observational studies suggest that the ratio of O2 inventory to ocean heat content is several fold larger than what can be explained by solubility alone, but the ratio remains poorly understood. In this work, models of different complexity are used to understand the factors controlling the air‐sea O2 flux to heat flux ratio (O2/heat flux ratio) during deep convection. Our theoretical analysis based on a one‐dimensional convective adjustment model indicates that the vertical stratification and distribution of oxygen before the convective mixing determines the upper bound for the O2/heat flux ratio. Two competing rates, the mean entrainment rate of deeper waters into the mixed layer and the rate of air‐sea gas exchange, determine how much the actual ratio departs from the upper bound. The theoretical predictions are tested against the outputs of a regional ocean model. The model sensitivity experiments broadly agree with the theoretical predictions. Our results suggest that the relative vertical gradients of temperature and oxygen at sites of deep water formation are an important local metric to quantify the marginal changes between years with high and lower heat loss.
Ego‐centered and local roles: A graph theoretic approach

Structural equivalence (Lorrain and White, 1971) and automorphic equivalence (Everett, 1985) are generalized to define neighborhood‐ and ego‐centered equivalences. It is shown that local versions of these equivalences can then be formulated quite naturally. In addition to these natural localizations, a generalized procedure capable of localizing any model of role equivalence is presented. From a theoretical point of view, local roles are recommended by the notion that network influences on ego diminish with distance. From a practical point of view, local roles help find structure in graphs where global equivalences find no two actors equivalent.
The effect of consecutive facet medial branch radiofrequency denervation and dorsal root ganglion pulse radiofrequency therapy on lumbar facet joint pain.

OBJECTIVES The aim of this study was to evaluate the efficacy of consecutive facet medial branch (FMB) radiofrequency denervation (RFD) and dorsal root ganglion pulse radiofrequency (DRG PRF) therapy in patients with chronic lumbar facet joint pain. METHODS The study included 27 patients with chronic lumbar pain who had ≥50% pain reduction after FMB block for suspected lumbar facet syndrome and subsequently underwent FMB RFD together with PRF to the adjacent DRG. The patients were retrospectively analyzed in terms of age, gender, pre-procedure symptom duration, history of previous back surgery, FMB RFD and DRG PRF level and side, and numerical rating scale scores immediately before and at 1, 3, and 6 months after the procedure, and subjective pain reduction at 6 months post-treatment. Treatment success was defined as ≥50% subjective pain reduction at 6 months. RESULTS A total of 19 women and 8 men with a mean age of 57.7±12.4 years were analyzed. Twenty patients (74.1%) had no prior history of low back surgery. The success rate of the procedure in terms of subjective pain reduction at 6 months was 82.5% (n=25). The subjective percentage of pain reduction at post-procedure 6 months was significantly lower in patients with a pre-procedure symptom duration of 12 months or longer compared to those whose pre-procedure symptom duration was <12 months (p=0.04). CONCLUSION Our study results show that the analgesic efficiency of DRG PRF added to FMD RFD treatment can be increased in patients with short symptom durations.
Loading of Anisotropic Quarter Plane

Using a “systematic relaxation of constraints” technique, a plane‐strain solution is derived for stresses in an elastic orthotropic quarter space loaded by a normal concentrated line load at a distance a from the edge. The formulation is also specialized to the case of cross‐anisotropic material behavior. Results are presented in the form of distribution of normal and shear stresses for a wide range of anisotropic material parameters. Applications include reinforced‐earth and geotextile retaining walls, vertical slopes of horizontally jointed rock, and unsupported excavations of overconsolidated anisotropic clay. An additional contribution of the paper is the generalization of the solutions available for the corresponding half space problem to cover the case of complex roots of the “characteristic” equation.
Factors Associated with Medication Adherence among Community-Dwelling Older People with Frailty and Pre-Frailty in China

Background: Frail and pre-frail older people often need to take medications. However, factors related to medication adherence among this population remain unclear, warranting further research. This study aims to identify correlates of medication adherence among frail and pre-frail older adults. Methods: From November 2020 to December 2020; a total of 4218 community-dwelling residents aged ≥ 60 years were interviewed by a cross-sectional survey in China. Data on subjects’ general information; medication adherence; and frailty status was obtained via the face-to-face structured questionnaire. Logistic regression models were fitted; separately; to examine these factors linked to medication adherence. Results: We found that 36.2% (n = 1527) and 18.8% (n = 792) of respondents were classified as pre-frail and frail. According to the Morisky scale scores, 66.74% (n = 2815) were found to have adequate medication adherence, and 33.26% (n = 1403) were found to have inadequate medication adherence. Among the pre-frail respondents, age (adjusted odds ratio (AOR) = 1.64; 95% confidence interval (CI): 1.18–2.29, P = 0.003), marital status (AOR = 1.52; 95% CI: 1.04–2.21, P = 0.030), smoking status (AOR = 0.61; 95% CI: 0.37–0.99, P = 0.044), and functional ability (AOR = 0.72; 95% CI: 0.58–0.91, P = 0.006) were significantly related to medication adherence. Among them, advanced age and single were risk factors, which were positively related to the medication adherence of subjects in pre-frailty, while quitting smoking and limited functional ability contributed to improving their medication adherence. In contrast, only age (AOR = 1.77; 95% CI: 1.16–2.69, P = 0.008) was significantly associated with medication adherence among frail subjects. Conclusion: Influencing factors to medication adherence of old people in pre-frailty and frailty have been enriched, which provides a certain reference for promoting medication adherence in this population. Future adherence intervention methods should be designed based on these factors.
Association between PM1 Exposure and Lung Function in Children and Adolescents: A Systematic Review and Meta-Analysis

The detrimental effects of PM2.5 and PM10 (particulate matter less than 2.5 or 10 μm) on human respiratory system, including lung function, have been widely assessed. However, the associations between PM1 (particulate matter of less than 1 μm) and lung function in children and adolescents are less explored, and current evidence is inconsistent. We conducted a meta-analysis of the literature on the association between PM1 and lung function in children and adolescents to fill this gap. With no date or language constraints, we used a combination of MeSH (Medical Subject Headings) terms and free text to search PubMed, EMBASE and Web of Science databases through, 1 October 2022 for “PM1 exposure” and “lung function”. A total of 6420 relevant studies were identified through our initial search, and seven studies were included in our study. In this meta-analysis, the fixed effect and random effects statistical models were used to estimate the synthesized effects of the seven included studies. For every 10 μg/m3 increase in short-term PM1 exposure, forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), peak expiratory flow (PEF) and maximal mid-expiratory flow (MMEF) decreased by 31.82 mL (95% CI: 20.18, 43.45), 32.28 mL (95% CI: 16.73, 48.91), 36.85 mL/s (95% CI: 15.33, 58.38) and 34.51 mL/s (95% CI: 19.61, 49.41), respectively. For each 10 μg/m3 increase in long-term PM1 exposure, FVC, FEV1, PEF and MMEF decreased by 102.34 mL (95% CI: 49.30, 155.38), 75.17 mL (95% CI: 39.61, 110.73), 119.01 mL/s (95% CI: 72.14, 165.88) and 44.94 mL/s (95% CI: 4.70, 85.18), respectively. Our study provides further scientific evidence for the harmful effects of PM1 exposure on lung function in children and adolescents, indicating that exposure to PM1 is detrimental to pulmonary health. To reduce the adverse health effects of air pollution on children and adolescents, effective preventive measures should be taken.
Comparison Of Winograde And Vandenbos Surgical Techniques According To Heifetz Stage In The Treatment Of Ingrown Toenails

Abstract Background: In ingrown toenail, classifications and the treatment approaches according to staging has been clearly reported in the literature. However, there are not enough data about the selection of the appropriate surgical technique according to the stage. In this study, we compared two different surgical techniques in patients with Heifetz stage 2 and 3 in means of surgical results, recovery time, patient comfort and cosmetics. Methods: Between January 2019 and January 21, patients who applied with the complaint of ingrown toenails who were treated with two mentioned surgical techniques in two centers with at least 1 year follow-up were included. The patients were evaluated preoperatively in means of the Heifetz classification. In group 1 (n:54) matrix excising Winograd and in group 2 (n:51) matrix preserving Vandenbos techniques were used. Postoperative recovery time, complication rates, functional and cosmetic patient satisfaction were evaluated in tall cases. Results: 105 cases of ingrown toenails treated surgically were included in the study. 62 (59%) cases were Heifetz stage 2, 43 (41%) cases were Heifetz stage 3. No statistically significant difference was found between Heifetz stage 2 and stage 3, regardless of surgical technique, in complication, recurrence, patient functional/cosmetic satisfaction rates, and recovery time. In overall analysis regardless of Heifetz staging, recovery time was shorter with Winograd method (p:0.0001), complication and recurrence rates were lower with Vandenbos method (p:0.0001), and VAS cosmetic satisfaction was higher in Vandenbos (p:0.002). Conclusion: Winograd and Vandenbos in Heifitz stages 2 and 3 have low complication rates and high patient satisfaction. Earlier healing could be achieved with the Winograd technique, while low complication/recurrence rates and high cosmetic satisfaction could be achieved with the Vandenbos technique. Early recovery/high cosmetic expectation should be considered instead of Heifetz staging in determining the surgical technique.
Study on Pairwise Bundle Adjustment and One Dimension Wand Calibration for Cameras Group

It is proposed a method of cameras group calibration with pairwise bundle adjustment using one dimensional wand. The one dimensional wand is one of the simplest calibration tools with two distinguishing markers the distance between which is known. The wand with the markers moves unconstrained in the field of cameras group, acquiring the coordinates of the projections of the corresponding marker in each camera. Every two cameras are formed as a couple, which fundamental matrix, focal lengths, rotation matrix, translation matrix and scale factor can be estimated under a few of certain assumptions. Optimal solutions are obtained through the pairwise bundle adjustment. The group calibration result is demonstrated as a sort sequence of all of the couple calibration results in ascending order according to reconstruction errors. The couple as top ranked as possible will be used to reconstruct the object in application procedures. Experimental results show that the dual couple method has much more accuracy and maintain the same feasibility comparing with the other one dimensional object calibration methods.
The Effect of the Addition of Copper Particles in High-Density Recycled Polyethylene Matrices by Extrusion

In this study, the effect of the recycling process and copper particle incorporation on virgin and recycled pellet HDPE were investigated by thermo-chemical analysis, mechanical characterization, and antibacterial analysis. Copper particles were added to pellet HDPE, virgin and recycled, using a tabletop single screw extruder. Some copper particles, called copper nano-particles (Cu-NPs), had a spherical morphology and an average particle size near 20 nm. The others had a cubic morphology and an average particle size close to 300 nm, labeled copper nano-cubes (Cu-NCs). The thermo-chemical analysis revealed that the degree of crystallization was not influenced by the recycling process: 55.38 % for virgin HDPE and 56.01% for recycled HDPE. The degree of crystallization decreased with the addition of the copper particles. Possibly due to a modification in the structure, packaging organization, and crystalline ordering, the recycled HDPE reached a degree of crystallization close to 44.78% with 0.5 wt. % copper nano-particles and close to 36.57% for the recycled HDPE modified with 0.7 wt. % Cu-NCs. Tensile tests revealed a slight reduction in the tensile strength related to the recycling process, being close to 26 MPa for the virgin HDPE and 15.99 MPa for the recycled HDPE, which was improved by adding copper particles, which were near 25.39 MPa for 0.7 wt. % copper nano-cubes. Antibacterial analysis showed a reduction in the viability of E. coli in virgin HDPE samples, which was close to 8% for HDPE containing copper nano-particles and lower than 2% for HDPE having copper nano-cubes. In contrast, the recycled HDPE revealed viability close to 95% for HDPE with copper nano-particles and nearly 50% for HDPE with copper nano-cubes. The viability of S. aureus for HDPE was lower than containing copper nano-particles and copper nano-cubes, which increased dramatically close to 80% for recycled HDPE with copper nano-particles 80% and 75% with copper nano-cubes.
A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis

Stock market prediction is a challenging and complex problem that has received the attention of researchers due to the high returns resulting from an improved prediction. Even though machine learning models are popular in this domain dynamic and the volatile nature of the stock markets limits the accuracy of stock prediction. Studies show that incorporating news sentiment in stock market predictions enhances performance compared to models using stock features alone. There is a need to develop an architecture that facilitates noise removal from stock data, captures market sentiments, and ensures prediction to a reasonable degree of accuracy. The proposed cooperative deep-learning architecture comprises a deep autoencoder, lexicon-based software for sentiment analysis of news headlines, and LSTM/GRU layers for prediction. The autoencoder is used to denoise the historical stock data, and the denoised data is transferred into the deep learning model along with news sentiments. The stock data is concatenated with the sentiment score and is fed to the LSTM/GRU model for output prediction. The model’s performance is evaluated using the standard measures used in the literature. The results show that the combined model using deep autoencoder with news sentiments performs better than the standalone LSTM/GRU models. The performance of our model also compares favorably with state-of-the-art models in the literature.
Comparison of Laparoscopic and Open Radical Cystectomy for Muscle-Invasive Bladder Cancer

The goal of the study was to compare laparoscopic and open radical cystectomy in treatment of muscle-invasive bladder cancer in the Department of Urology and Oncological Urology PUM in Szczecin. A total of 78 patients in the study group underwent laparoscopic cystectomy between 2016–2018, and 81 patients from the control group had open cystectomy between 2014–2016. Both groups were comparable in terms of age, stage, and concomitant diseases. The 3 year overall survival was comparable in both groups (37.7% for laparoscopy and 44.4% for open, p = 0.64). There was no difference in positive surgical margin rate. Lymph node yield during cystectomy was higher in open cystectomy (14 vs. 11.5, p = 0.001). Post-operative blood loss and transfusion rates were lower in laparoscopic cystectomy. Decrease in hemoglobin level was lower in laparoscopy (0.9 mmol/L, p < 0.001). Intraoperative transfusion rate was 11.8% in laparoscopy vs. 34.8% in open cystectomy (p = 0.002). Operation time, duration of hospitalisation, and time to full oral alimentation were comparable in both groups. Patients with BMI > 30 kg/m2 and those with pT3-T4 cancer in the laparoscopy group had less septic complications post-operatively. Patients with ASA score ≥ 3 from the laparoscopy group had fewer reoperations due to ileus. Laparoscopic cystectomy is less invasive and offers similar oncological outcomes to the open method. Patients benefit from less tissue trauma, less blood loss, and faster recovery. The presented results, as well as other publications, should encourage a wider use of this procedure in everyday urological practice.
Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification

Due to the lack of high-quality labeled data and poor generalization ability of supervised models in remote sensing scene classification, cross-domain scene classification is proposed to better utilize the existing knowledge to classify the unlabeled data. Since there is a data distribution difference between the training (source domain) and test (target domain) sets, many deep domain adaptation methods have been proposed to reduce such distribution discrepancy. However, existing deep domain adaptation methods usually use the discrepancy metric function to align the marginal distribution and do not consider the effect of each sample in different domains on the network weights. In addition, the existing domain adaptation methods cannot adaptively balance the relative importance of marginal and conditional distributions well. To overcome the above shortcomings, we propose a novel attention-based dynamic alignment and dynamic distribution adaptation (ADA-DDA) method to better align the marginal distribution between different distributions by calculating the dynamic weights of each sample in different domains and dynamically balance the relative importance of marginal and conditional distributions. Moreover, the attention mechanism enables purposeful knowledge transfer so that the extracted features can be highly discriminative. The experimental results demonstrate that our proposed method is superior to the other state-of-the-art deep domain adaptation methods in the comparison and outperforms the second place in accuracy by 5.36%.
A high-energy x-ray spectrometer diagnostic for the OMEGA laser

A new x-ray diagnostic has been commissioned at the OMEGA laser facility at the University of Rochester. It is a transmission curved crystal spectrometer designed primarily to characterize the hot-electron energy distribution of laser generated plasmas by registering the continuum x-ray spectrum produced by these hot plasmas from 12 to 60 keV. The diagnostic package is assembled in a linear configuration to ride in a standard instrument insertion module. The instrument consists of a nosecone with a blast shield, spectrometer, electronic imager, drive electronics, and battery. The instrument is connected to the external diagnostic processor and control unit by trigger and data fiber optic cables. Time integrated spectra from various targets have been registered with high sensitivity from single shots of the OMEGA laser.
Hybrid biomanufacturing systems applied in tissue regeneration

Scaffold-based approach is a developed strategy in biomanufacturing, which is based on the use of temporary scaffold that performs as a house of implanted cells for their attachment, proliferation, and differentiation. This strategy strongly depends on both materials and manufacturing processes. However, it is very difficult to meet all the requirements, such as biocompatibility, biodegradability, mechanical strength, and promotion of cell-adhesion, using only single material. At present, no single bioprinting technique can meet the requirements for tissue regeneration of all scales. Thus, multi-material and mixing-material scaffolds have been widely investigated. Challenges in terms of resolution, uniform cell distribution, and tissue formation are still the obstacles in the development of bioprinting technique. Hybrid bioprinting techniques have been developed to print scaffolds with improved properties in both mechanical and biological aspects for broad biomedical engineering applications. In this review, we introduce the basic multi-head bioprinters, semi-hybrid and fully-hybrid biomanufacturing systems, highlighting the modifications, the improved properties and the effect on the complex tissue regeneration applications.
Tuning the Quantum Properties of ZnO Devices by Modulating Bulk Length and Doping

The quantum transport properties of ZnO devices with five different bulk configurations are investigated with numerical methods. The calculation results reveal that the transport property at a higher energy range can be tuned by changing the length of central scattering. By substituting some Zn atoms with Cu atoms, it is found that the doped Cu atoms have an obvious effect on the quantum properties at the entire energy range investigated, and could result in different transmission. The properties of ZnO devices are also influenced by the doping positions of Cu atoms. The tuning mechanism relies on the shifting of carrier distributions in the scattering center of the device.