Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence and associated factors of disability in patients with chronic pain

Supplemental Digital Content is available in the text Abstract The primary treatment goal of patients experiencing chronic pain has shifted from pain reduction to functional status improvement. However, the prevalence of disability and its associated factors in patients with chronic pain remain unknown. Individuals aged ≥50 years who visited the Pain Center at Nara Medical University with chronic pain from June 2019 to May 2020 were eligible for enrollment. Patients were asked to complete the Japanese version of the 12-item World Health Organization Disability Assessment Schedule 2.0. Patient demographics, pain intensity, level of catastrophizing, anxiety, depression, and exercise habits were assessed. Multivariate logistic regression analysis was used to identify the factors associated with disability. Of the 551 patients with a median age of 73 years, 51.5% experienced disability. Fixed factors such as age (odds ratio [OR], 1.03; 95% confidence interval [CI] 1.01–1.06, P = .002) and lumbar and lower limb pain (OR, 3.10; 95% CI, 1.83–5.24, P < .001) and some modifiable factors, including anxiety (OR, 2.06; 95% CI, 1.06–3.98, P = .03), depression (OR, 3.62; 95% CI, 1.92–6.82, P < .001), pain catastrophizer (OR, 2.94; 95% CI, 1.88–4.61, P < .001), numeric rating scale at the most painful site (OR, 1.29; 95% CI, 1.18–1.42, P < .001), exercise habits (walking (OR, 0.52; 95% CI, 0.33–0.83, P = .006) and working out (OR, 0.58; 95% CI, 0.34–0.99, P = .046), were found to be independently associated with disability. This cross-sectional study revealed a high prevalence of disability in patients with chronic pain and identified the factors associated with disability.
Printable and printed perovskites photovoltaic solar cells for autonomous sensors network

Ce travail de these a pour sujet la conception des cellules solaires photovoltaiques a base de perovskite hybride par le biais de la technologie d’impression jet d’encre. Les deux premiers chapitres font la presentation du contexte de la these, a savoir l’alimentation d’un reseau autonome de capteurs, et passent en revue les aspects scientifiques des technologies jet d’encre et photovoltaique de nouvelle generation. Le troisieme chapitre presente la mise au point d’une cellule photovoltaique a l’etat de l’art et son evolution vers une architecture imprimable a basse temperature de recuit. La problematique de la stabilite des cellules photovoltaiques a perovskite est aussi abordee. La derniere partie presente les differents aspects et problematiques de l’impression par jet d’encre des trois couches internes d’une cellule solaire perovskite. Au terme de ce travail la possibilite d’imprimer des cellules solaires perovskites avec des rendements superieurs a 10 % a ete demontree, le tout en condition ambiante et a basse temperature.
CIA_A_202725 1221..1226

Stijn L Steunenberg Jolanda de Vries Jelle W Raats Nathalie Verbogt Paul Lodder Geert-Jan van Eijck Eelco J Veen Hans GW de Groot Gwan H Ho Lijckle van der Laan 1Department of Surgery, Amphia Hospital, Breda, The Netherlands; 2Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands; 3Department of Medical Psychology, ETZ, Tilburg, The Netherlands; 4Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands; 5Department of Surgery, Bravis Hospital, Roosendaal, The Netherlands Introduction: Critical limb ischemia (CLI) patients are often of advanced age with reduced health status (HS) and quality of life (QoL) at baseline. Physical health is considered as the most affected domain due to reduced mobility and ischemic pain. QoL and HS are often used interchangeably in the current literature. HS refers to objectively perceived physical, psychological, and social functioning and in assessing QoL, change is measured subjectively and can only be determined by the individual since it concerns patients’ evaluation of their functioning. It is important to distinguish between QoL and HS, especially in the concept of shared decision-making when the opinion of the patient is key. Goal of this study was to examine and compare QoL and HS in elderly CLI patients in relation to the used therapy, with a special interest in conservatively treated patients. Methods: Patients suffering from CLI and ≥70 years old were included in a prospective study with a follow-up period of 1 year. Patients were divided into three groups; endovascular revascularization, surgical revascularization, and conservative therapy. The WHOQoLBref was used to determine QoL, and the 12-Item Short Form Health Survey was used to evaluate HS at baseline, 5–7 days, 6 weeks, 6 months, and 1 year. Results: Physical QoL of endovascularly and surgically treated patients showed immediate significant improvement during follow-up in contrast to delayed increased physical HS at 6 weeks and 6 months (P<0.001). Conservatively treated patients showed significantly improved physicalQoL at 6 and 12months (P=0.02) in contrast to no significant improvement in physicalHS. Conclusion: This study demonstrates that QoL and HS are indeed not identical concepts and that differentiating between these two concepts could influence the choice of treatment in elderly CLI patients. Discriminating between QoL and HS is, therefore, of major importance for clinical practice, especially to achieve shared decision-making.
Optical properties of titanium oxide films obtained by cathodic arc plasma deposition

Structural and optical properties of nanometric titanium oxide (TixOy) films obtained by cathodic arc plasma deposition were investigated. Phase analysis by x-ray diffraction and Fourier-transform infrared spectroscopy showed the presence of anatase, rutile, Ti2O3, Ti4O7 and amorphous phases. Scanning electron microscopy images showed well-developed surface morphology with nano-patterns. Spectroscopic ellipsometry revealed film thicknesses of 53 and 50 nm, variable refractive indices dependent on the light wavelength and close to zero extinction coefficients for wavelengths higher than 500 nm. On the basis of ultraviolet–visible spectroscopy data and using the Tauc equation, band gap values for direct and indirect electron transitions were determined.
Clinical and microbiological characteristics of men with nonobstructive acute pyelonephritis

Abstract To investigate the differences in clinical and microbiological features in men hospitalized with community-acquired (CA) and healthcare-associated (HA) nonobstructive acute pyelonephritis (APN), as well as the predictive factors associated with bacteremia. Men discharged from urological centers with nonobstructive APN were identified using an electronic medical records system. We compared the clinical and microbiological data between subjects with CA-APN and HA-APN. Of the 245 men with nonobstructive APN, 175 had CA-APN, and 70 had HA-APN. The HA group was significantly older, had a longer hospital stay, and had more underlying diseases, bacteremia, and intensive care unit admissions than the CA group. The most commonly cultured microorganism was Escherichia coli. The susceptibility of the cultured bacteria to fluoroquinolone was 68.7% in the CA group and 45.3% in the HA group (P = .005). The proportion of extended-spectrum beta-lactamase-producing bacteria was 22.7% for CA and 53.5% for HA (P < .001). The sensitivity to piperacillin/tazobactam was 94.9% for CA and 90.0% for HA, and the sensitivity to amikacin was more than 95% for both groups. The multivariate analysis revealed that an age ≥65 years and chronic liver disease were independent predictive factors for bacteremia. The incidence of antibiotic resistance and bacteremia was higher in the HA group than in the CA group. However, resistance to fluoroquinolone and the presence of extended-spectrum beta-lactamase-producing bacteria were high in both groups. Piperacillin/tazobactam and amikacin may be suitable treatment options in men with nonobstructive APN.
Exogenous application of salicylic acid improves tolerance of wheat plants to lead stress

Salicylic acid (SA) acts as a signaling molecule and plays an important role in various physiological and biochemical processes in plants. The aim of the present study was to evaluate the role of SA in the enhancement of lead (Pb) tolerance in wheat (Triticum aestivum) plants. When 2–3 true leaves had appeared, treatments were applied to the plants. The treatments were as follows: (i) no addition of SA and Pb (control), (ii) 2 µM SA + 0 mM Pb, (iii) 8 µM SA + 0 mM Pb, (iv) 0 mM SA + 2 mM Pb, (v) 2 µM SA + 2 mM Pb, and (vi) 8 µM SA + 2 mM Pb. One-way analysis of variances (ANOVA) was used to compare the means, and Duncan’s multiple-range test (DMRT) was used to determine significant (P < 0.05) differences among the individual means of treatments. Exposure of Pb severely affected wheat plants by reducing plant height, fresh and dry weight, photosynthetic pigments (Chl a and b, Chl a:b) and carbonic anhydrase enzyme activity, and by enhancing Chl degradation, electrolyte leakage (EL), malondialdehyde accumulation. Also, Pb treatment increased the accumulations of proline and total soluble carbohydrates (TSC) and activities of antioxidant enzymes [superoxide dismustase (SOD), catalase (CAT), and peroxidase (POD)]. However, application of SA induced biosynthesis of pigments by suppressing Chl degradation, and EL and malondialdehyde accumulation. Furthermore, SA treatments further enhanced the production of proline and TSC, and the activities of SOD, CAT, and POD. SA directly or indirectly improved physiological processes, which helped wheat plants to overcome the oxidative damage induced by Pb toxicity. Also, this study reveals that exogenous application of SA is beneficial for plant growth and development of wheat plants by suppressing ill effects of heavy metal stress. Therefore, this study opens up the hidden role of SA in tolerance of plants to heavy metal toxicity to explore its new regulatory role and defensive mechanism at physiological and molecular levels. Also, exogenous application of SA could be beneficial for sustainable agriculture.
Research and Application of Pest Identification Technology Using Geographic Information System and Computer Image Recognition

The research and application of key technologies of pest identification based on deep learning the paper analyzes the status quo and problems of pest identification in my past. It studies the key technologies of pest identification based on deep learning. On this basis, a GIS based pest data management cloud platform is proposed, which is composed of intelligent terminals and data centers. The intelligent terminal can quickly acquire the photos of pests and upload them to the data center of cloud platform. The data center can identify the pests returned by the intelligent terminal, automatically generate the spatiotemporal distribution map of insect situation, and use machine learning technology to warn the pests, and assist the farmers to take effective measures against the pests.
Fault diagnosis of wind turbine bearing based on CNN-XGBoost

When a wind turbine bearing fails, because the fault signal shows the characteristics of instability and non-linearity,it is difficult to extract the fault features artificially, resulting in a lower accuracy of the wind turbine bearing fault classification. In order to realize the automatic extraction of wind turbine bearing faults and improve the accuracy of fault classification, this paper proposes a wind turbine bearing fault identification method based on the combination of convolutional neural network and limit gradient lifting algorithm. First, convert the original bearing fault signal into a grayscale image. Then, the gray image is input to the convolutional neural network to automatically extract the feature of the fault. Finally, the limit gradient boosting algorithm optimized by the grid search algorithm is used as a classifier to classify the fault. The simulation results show that the method used in this paper can achieve a high rate of correctness of wind turbine bearing fault identification, indicating that this method is effective for wind turbine bearing fault diagnosis.
Research on Visual Monitoring System of Line Loss in Power Internet of Things and Power Distribution Network

In order to reduce the comprehensive line loss of the power grid, a visual monitoring technology of line loss in the distribution network based on the Internet of Things is proposed. The paper incorporates the monitoring and management of line loss during the same period into the visualization platform of the distribution network to monitor and manage the effectiveness of the whole process, and solve the problems of incomplete information, untimely filing, and inadequate updates, and fully support "one data source, one grid map, and one business line" The construction and application of the ubiquitous power Internet of Things. Based on the Internet of Things technology, the article screens the distribution network line loss data for the same period and uses Tableau software to make a visual worksheet, visualizes the line loss data, analyses the relationship between the distribution network line loss data for the same period, and conducts anti-theft analysis on the same period distribution network. The paper then performs K-means algorithm clustering analysis, visual analysis and box plot analysis on the line loss data. Summarize the threshold range of each line loss index corresponding to different conditions such as abnormal station area, to-be-upgraded station area and normal station area. Finally, build a visual interactive platform for the analysis of line loss abnormalities in the station area. Experiments have proved that the line loss visual monitoring system can control the overall situation of line loss and the processing of abnormal line loss in real time, which greatly improves work efficiency.
Graft Polymerization of Acrylic Monomers onto Lignin with CaCl2–H2O2 as Initiator: Preparation, Mechanism, Characterization, and Application in Poly(lactic acid)

Effective utilization of abundant industrial lignin has growingly attracted much attention besides potential environmental issues. Although chemical graft polymerization modification is one facile strategy for extending its applications, it remains an intractable challenge to select a highly efficient initiation system. We herein have attempt to understand the CaCl2–H2O2 system in initiating the graft polymerization of acrylic monomers onto acetic acid lignin (AAL) and biobutanol lignin (BBL). The initiation system is found to be highly efficient and selective, as proved by the successful graft of polyacrylates onto them, and a possible mechanism is also proposed. Thermal analysis shows that the graft modification results in a higher glass transition temperature and higher thermal stability of lignin. The graft modification make both AAL and BBL become more hydrophobic than before modification. Moreover, adding a small amount of lignin-graft-polyacrylate can considerably improve the UV blocking capability.
Effect of Sodium Silicate on The Unconfined Compressive Strength of Crushed Concrete

Various building infrastructure projects worldwide have resulted in a significant rise in the production of waste materials such as concrete, fly ash, plastic, rice husk, foundry sand, and other materials, raising disposal issues. Crushed concrete is abundant and comes from the removal of old buildings as well as waste concrete from new construction. As a result, construction waste recycling is essential, both in reducing the amount of open land needed for landfilling and environmental protection by resource conservation. The research’s main objective is to study the effect of adding sodium silicate on the cohesion strength of crushed concrete and its behavior. the concrete cubes are grinded with a hammer to get crushed concrete which passing sieve no 4. The results show that the cohesion strength increase as a percentage of sodium silicate increase (addition 6% Sodium silicate show the higher strength where the strength increased at 10 days by 246% and at 14 days by 250% as compared with strength at 5 days) and the cohesion between crushed concrete particles increase until 8% sodium silicate the cohesion began to decrease (10% same cohesion at 2%). As well, the cohesion strength increase when curing time increase.
Numerical Simulation of Shallow Foundation Behavior Rested on Sandy Soil

The scope out of this paper, is a numerical evaluation of the behavior of shallow foundation rested on sandy soil exposed to axial load using “PLAXIS 3D 2020 software”. Different types of models are used for the simulation of foundation behavior that are Mohr-Coulomb model (MC), Hardening soil model (HS), and Hardening soil model with small-strain stiffness (HSS). The effect of three parameters (footing shape, soil saturation and footing size) are studied on three types of sandy soil having different internal friction angles. It can be observed from the result that Mohr-Coulomb model are identical with the curve at the elastic zone and overestimated at the plastic zone. The results are more realistic when using the constitutive hyperbolic hardening soil model compared with Mohr-Coulomb model. Better and closer to the practical result were observed when using HSS model. After the application of (HSS), it was concluded that is more realistic and gives greater value to estimate the behavior of small-scale shallow foundation in sandy soil compared to Mohr-Coulomb models and hardening soil model. Foundation bearing capacity for dry sandy soil is greater than for saturation one, with a percentage of increase equal 12.5, 30, and 27% for MC, HS, and HSS models respectively.
Research on Computer Forecast Model Using BP Neural Network and Pearson Correlation Coefficient

Driven by such special needs as "individuation, fashion and beauty", the production model of the new retail enterprise is gradually moving towards multiple varieties and small batches, which makes the variety of ornaments and toys in the retail stores in the shopping malls more dazzling, and at the same time, makes inventory management in the retail industry more difficult. How to give an accurate demand forecast based on the historical sales data with complex levels and various categories at the regional level, small category level and even the store skc (single monochrome) level is a problem that most new retail enterprises need to focus on and think about. First of all, we study the impact of various related factors on the sales volume of the target skc during the four holidays of National Day, Double Eleven, Double Twelve and New Year's Day in 2018. We first reviewed the literature and data to identify the influencing factors. We believe that factors such as product characteristics, inventory information and holidays will affect the sales volume. Secondly, we test the correlation coefficient of Pearson and Spearman on the sales volume and each factor, and obtain the correlation strength between each factor and the price, we think that those with strong correlation have a greater impact on the sales volume. Finally, we get the specific impact of each factor on the sales volume through regression fitting between each relevant factor and the sales volume. Secondly, we need to forecast the sales volume of a given region's target subcategory every month for three months, give the average absolute percentage error between each and the forecast value, and forecast the top ten subcategories of sales volume at the same time, first, we analyze the data and adopt the neural network model to forecast, give the monthly forecast data, and consider the impact of relevant factors, so that the results are more accurate. Finally, the monthly forecast value of MAPE is given.
Vector-mediated delivery of125I-labeled (8-amyloid peptide A831-40 throughtheblood-brain barrier andbinding toAlzheimer disease amyloid oftheAf3140/vector complex (monoclonal antibody/drug delivery/streptavidin/biotin)

Thebrain amyloid ofAlzheimer disease (AD) maypotentially beimagedinpatients withAD byusing neuroimaging technology anda radiolabeled formofthe 40-residue 18-amyloid peptide A81-40 thatisenabled toun- dergo transport through thebrain capillary endothelial wall, whichmakesup theblood-brain barrier (BBB)invivo. Transport of125I-labeled A31-40 (125I-A31B-40) through the BBBwasfoundtobenegligible byexperiments withbothan intravenous injection technique andaninternal carotid artery perfusion methodinanesthetized rats. Inaddition, 125I-A81-40 wasrapidly metabolized after either intravenous injection or internal carotid artery perfusion. BBB transport wasin- creased andperipheral metabolism wasdecreased byconju- gation ofmonobiotinylated 125I-A31-40 toavector-mediated drugdelivery system, whichconsisted ofa conjugate of streptavidin (SA)andthe0X26monoclonal antibody tothe rattransferrin receptor, whichundergoes receptor-mediated transcytosis through theBBB.Thebrain uptake, expressed as percent ofinjected dosedelivered pergramofbrain, ofthe 125I,bio-Ap8140/SA-OX26
Isolated Fe Sites in Metal Organic Frameworks Catalyze the Direct Conversion of Methane to Methanol

Hybrid materials bearing organic and inorganic motifs have been extensively discussed as playgrounds for the implementation of atomically resolved inorganic sites within a confined environment, with an exciting similarity to enzymes. Here, we present the successful design of a site-isolated mixed-metal metal organic framework (MOF) that mimics the reactivity of soluble methane monooxygenase enzyme and demonstrates the potential of this strategy to overcome current challenges in selective methane oxidation. We describe the synthesis and characterization of an Fe-containing MOF that comprises the desired antiferromagnetically coupled high-spin species in a coordination environment closely resembling that of the enzyme. An electrochemical synthesis method is used to build the microporous MOF matrix while integrating the atomically dispersed Fe active sites in the crystalline scaffold. The model mimics the catalytic C–H activation behavior of the enzyme to produce methanol and shows that the key to this react.
High-performance water oxidation electrocatalysis enabled by a Ni-MOF nanosheet array

Development of Earth-abundant oxygen evolution reaction (OER) electrocatalysts with high performance is essential for the practical application of hydrogen energy. Herein, we report a high-efficiency electrocatalyst for electrochemical water oxidation based on an Ni-MOF nanosheet array on Ni foam (Ni-MOF/NF). In 1.0 M KOH, this Ni-MOF/NF catalyst drives 100 mA cm−2 at an overpotential of 320 mV. Remarkably, it also demonstrates good electrochemical durability with the retention of its catalytic activity for at least 20 h and achieves a high turnover frequency of 0.25 mol O2 s−1 at an overpotential of 400 mV.