Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between overweight and obesity and insufficient micronutrient intake: a nationwide study in Taiwan

Abstract The aim of the present study is to examine whether overweight or obese people in Taiwan have an inadequate intake of selected micronutrients. A population-based study was conducted using data from the Nutrition and Health Survey in Taiwan (NAHSIT) 2013–2016. We evaluated fourteen nutrient intakes using the 24 h dietary recall method. The dietary reference intake (DRI) adherence was estimated by the prevalence of participants whose intake was lower than the recommended dietary allowance (RDA) or adequate intakes (AIs) for selected micronutrients. Body mass index (BMI) ≥ 27 kg/m2 and waist circumference (WC), with men having WC ≥ 90 cm or women having WC ≥ 80 cm, were defined as obesity. A total of 3075 participants aged 19 years and above were included. After adjusting for confounders, we found that obese women have a lower DRI adherence of vitamin C (odds ratio (OR) 0⋅73, 95 % confidence interval (CI) 0⋅56, 0⋅95) and magnesium (OR 0⋅72, 95 % CI 0⋅54, 0⋅95), compared with normal-weight women. Obese men have a higher DRI adherence of vitamin B3 (OR 1⋅70, 95 % CI 1⋅29, 2⋅23), iron (OR 1⋅46, 95 % CI 1⋅06, 2⋅00) and zinc (OR 1⋅41, 95 % CI 1⋅07, 1⋅85), compared with normal-weight men. Similar findings were found using WC to define obesity. We conclude that obese women may have insufficient intakes of vitamin A, vitamin C and magnesium.
E-TPE: Efficient Thumbnail-Preserving Encryption for Privacy Protection in Visual Sensor Networks

When visual sensor networks (VSNs) enter daily life in society, they not only bring great convenience but also cause people to worry about privacy. Traditional image encryption often displays the effect of the enter snowflake in encrypted images playing a part in privacy protection, but the usability of directly browsing images taken by nodes in VSNs is sacrificed. Recently, thumbnail-preserving encryption (TPE) has been proposed to balance image usability and privacy. However, the Markov chain’s limited connectivity and high time cost, which result in low efficiency, may preclude its application in VSNs. Motivated by this, we propose a novel TPE scheme to protect the image collected in VSNs privacy efficiently. We first deeply study the bijective relationship between the three-pixel group and its rank, and then propose a new number method for both, based on which we design the efficient rank mapping. Subsequently, an efficient thumbnail-preserving image encryption via three-pixel rank mapping (E-TPE) is designed, achieving NR security and enhancing the Markov chain’s connectivity. The experiments demonstrate the scheme’s efficiency, that is, it is the currently quickest ideal-TPE scheme with NR security, and that a good balance is achieved between usability and privacy.
Recurrent Multi-scale Approximation-Guided Network for Single Image Super-Resolution

Single-image super-resolution (SISR) is an essential topic in computer vision applications. However, most CNN-based SISR approaches directly learn the relationship between low- and high-resolution images while ignoring the contextual texture and detail fidelity to explore super-resolution; thus, they hinder the representational power of CNNs and lead to the unrealistic, distorted reconstruction of edges and textures in the images. In this study, we propose a novel recurrent structure preservation mechanism with the integration and innovative use of multi-scale wavelet transform, Recurrent Multiscale Approximation-guided Network (RMANet), to recursively process the low-frequency and high-frequency sub-networks at each level separately. Unlike traditional wavelet transform, we propose a novel Approximation Level Preservation (ALP) architecture to import and learn the low-frequency sub-networks at each level. Through proposed Approximation level fusion (ALF) and inverse wavelet transform, rich image structures of low frequency at each level can be recursively restored and greatly preserved with the combination of ALP at each level. In addition, a novel low-frequency to high-frequency detail enhancement (DE) mechanism is also proposed to solve the problem of detail distortion in high-frequency networks by transmitting low-frequency information to the high-frequency network. Finally, a joint loss function is used to balance low-frequency and high-frequency information with different degrees of fusion. In addition to correct restoration, image details are further enhanced by tuning different hyperparameters during training. Compared with the state-of-the-art approaches, the experimental results on synthetic and real datasets demonstrate that the proposed RMANet achieves better performance in visual presentation, especially in image edges and texture details.
Classification of Machine and Deep learning Techniques for Financial Fraud Detection of Healthcare Industry

The healthcare industry is one of the most visible areas with vast potential for data collection, both in terms of patient health and economics. Large-scale credit card theft occurs in the healthcare industry because of the steady improvement of electronic payment methods, and credit card fraud monitoring has proven to be a difficult monetary burden for many service providers. Therefore, the method for identifying frauds needs constant improvement. Numerous fraud incidents occur on a regular basis, each with the potential to cause significant monetary loss. Credit card numbers and other private information may be stolen in a variety of ways, including through phishing and Trojan horse programmes that act like viruses. Consequently, there has to be effective technology for detecting various forms of financial fraud. In this paper, we apply a number of machine learning and deep learning techniques to the problem of financial fraud detection of healthcare. We use a number of different algorithms, including Naive Bayes (NB), Logistic Regression (LR), K-Nearest Neighbor (KNN), Random Forest (RF), Convolutional Neural Network (CNN), and deep Artificial Neural Network (ANN), to skew the training of other normal and irregular transaction features. Available data are utilised to assess the quality of the model. Accuracy was represented graphically as 96.1%, 94.8%, 95.89%, 97.58%, 92.3%, and 98.53% for different algorithms, depending on whether they used NB, LR, KNN, RF, CNN, or deep ANN. The findings of the comparison clearly demonstrated that the deep ANN algorithm produces superior outcomes when compared to other methods.
Second-Order Controllability of Multi-Agent Systems with Multiple Leaders

This paper proposes a new second-order continuous-time multi-agent model and analyzes the controllability of second-order multi-agent system with multiple leaders based on the asymmetric topology. This paper considers the more general case: velocity coupling topology is different from location coupling topology. Some sufficient and necessary conditions are presented for the controllability of the system with multiple leaders. In addition, the paper studies the controllability of the system with velocity damping gain. Simulation results are given to illustrate the correctness of theoretical results.
A Weighted Iterative Refinement Algorithm for Angle Estimation in 5G Millimeter-Wave Positioning

Currently, high-precision positioning has become an urgent need in 5G vertical industries. In this paper, an improved angle estimation method based on a certain weighted iterative refinement algorithm is proposed under a single base station (BS) with 5G millimeter-wave systems. Furthermore, by utilizing the angle estimation parameters given by the above method, more accurate position estimation of user equipment (UE) can be obtained in both line-of-sight (LOS) and multipath scenarios. Simulation results show that the proposed algorithm achieves significant improvement of angle estimation, and obtains higher positioning accuracy compared to present similar methods.
A Two-Stage Computer Aided Diagnostic System for Lung Cancer Detection with Pre-Screening of Other Abnormalities

Lung diseases are seen to be on the rise in the last 30 years. While research has majorly focused on the early detection of lung cancer, flagging of other abnormalities is also vital. Interpretation of CT scans continues to be a timeconsuming manual process with a risk of subjective evaluation. Currently, the cancer detection modules classify the scans only as cancerous or non-cancerous resulting in a system which marks the other abnormal scans as normal. Further, while the accuracy of the detection system is good it is not able to flag abnormal scans on priority. This may lead to some CT scans belonging to the critical stage getting delayed in the sequential process. This paper proposes a two-level system that helps in pre-screening the scans for abnormality and then checks for the presence of cancerous mass. The first stage of screening prioritizes the scans ensuring that the ‘red flagged’ scans are at the top of the stack, facilitating faster treatment. Normal lung CT scans were used to train the abnormality detection module and only the abnormal CT scans were further processed to detect malignancy using deep learning techniques. The research was undertaken in collaboration with Nanavati hospital, Mumbai and both the models were validated on a real dataset obtained from the hospital. The proposed technique gives accurate screening and detection with AUC values of 0.905 and 0.997 for the abnormality detection model and the cancer detection model respectively.
Long-term Time Series Prediction of Deformation in The Area of Pylons By Combining InSAR and Transformer-based

Settlement monitoring of high-voltage line pylons (HLPs) is an important part of power line inspection. In geologically active areas, or due to some environmental factors, it can substantially impact the stability of HLP bases, which can lead to collapse accidents, so it is essential to monitor and predict the areas around HLPs. In this paper, we use 74-view Sentinel-1A satellite ascending orbit data, and combine the persistent scatterer interferometric synthetic aperture radar (PS-InSAR) with a long-term sequence prediction model (Autoformer) to perform surface deformation of a high-voltage line in Inner Mongolia, China, from January 2019 to January 2022 monitoring. The environmental factors were considered to predict the surface deformation in the key study area from February 2022 to April 2022 and provide early warning. By comparing with Transformer, Informer, and Reformer, the results show that the proposed combined PS-InSAR and Autoformer method is far superior to its counterparts with a mean squared error of 0.105. This paper provides a new, accurate, and automated method for HLP subsidence monitoring and early warning and establishes a system for HLPs surface deformation prediction, which highly improves the efficiency of HLP monitoring and early warning.
An Instructional Approach to Power System Operations Utilizing Load Flow Simulations

Another approach for estimating the coordinated AC-DC system’s load flow. For consecutively altered Gauss and Gauss-Seidel power flow for AC-DC systems, a simple and reliable method is developed. This strategy relies on using the nodal infusion theory at every conveyance. The current infused to the connected transports that make up the DC system treats it, and the impact is mirrored at inward transports by the infusion of additional power. Calculations of the AC and DC power flows are made in cycles to meet the limit circumstances of the two systems. According to this methodology, the converter transporters’ dynamic and receptive power as well as the air conditioner voltages are taken into account as the point of connection between the air conditioner and DC conditions in each focus stage. Using successively modified Gauss and GaussSeidel procedures, the combined AC-DC circumstances are independently handled. Experts from a variety of fields, including finance, project management, energy, fabrication, design, creative work, protection, oil and gas, transport, and the environment, are participating in this process. Existing systems in the electricity sector must continuously be modified to accommodate rising load densities. Studies on power flow are necessary. When planning for the expansion of the power system and choosing the ideal operational conditions, power flow study is of utmost importance. Data related to real power, responsive power, point, and voltage on each conveyance are included in this study. The Monte Carlo simulation provides a decision with a range of possible outcomes and the possibility that they will really happen. This displays both the outlandish selections and the most conventional arrangements alongside every possible interpretation of the main arrangements. The study of load flow or the establishment of force flow in motion and power system design provisions should be the most important and practical way to investigate problems related to power systems. Static brand data on voltage step centroids and magnitudes, transmission line response power flow, system faults, vehicle response power elapsed time, and utilisation are supplied by a load flow analysis that takes into account a preconditioned power and transmission system. rod force. Transports with undervoltage and a functional state of under 95% are considered to be in a basic situation, whilst those with undervoltage and a functional state of above 95% are considered to be in a peripheral situation. Transport numbers 3 and 8 are plainly under-voltaged, as seen in Table 4.
A Compact GNLTL Using Permanent Magnet Rings With Improved H-field Uniformity

There has been a great interest in using compact gyromagnetic nonlinear transmission lines (GNLTLs) for applications in defense platforms, radars, and space as pulsed RF transmitting sources. The reason is that the GNLTL is all solidstate and does not require the vacuum and thermionic electron guns as power electronic tubes do. Since GNLTS employ axial magnetic bias, permanent magnets can replace the solenoid to reduce weight and size. The best alternative for this is to use neodymium rings along the line. Then, in this work, we will present the results obtained with a bench-compact line using a small number of magnets, instead of a solenoid, driven by a Gaussian shape input pulse in the range of 6–12 kV and with a width of about 15 ns.
Second-Order Duality for a Class of Nondifferentiable Continous Programming Problems

A dual problem associated with a class of non-differentiable continuous programming prob- lems is formulated. Under the second-order pseudo-invexity, various duality theorems are validated for this pair of dual problems. A pair of dual problems with natural boundary values is constructed and the proofs of its various duality results are merely indicated. Further, it is shown that our results can be viewed as dynamic generalizations of corresponding (static) second-order duality theorems for a class of nondifferentiable nonlinear programming problems existing in the literature. 2010 Mathematics Subject Classifications: 90C30, 90C11, 90C20, 90C26.
Resolution of Hydrodynamical Equations for Transverse Expansions

The three-dimensional hydrodynamical expansion is treated with a method similar to that of Milekhin, but more explicit. Althouqh inthe final staqe we have to appeal to numerical calculation,the partia1 dif- ferential equations governing the transverse expansions are t reated without transforming them into ordinary equations with an introduction of averaged quantities. The present paper is concerned with the formal- ism and we will report the numerical results in another paper.
Enhancement of hMSC In Vitro Proliferation by Surface Immobilization of a Heparin-Binding Peptide

The use of human Mesenchymal Stem Cells (hMSC) as therapeutic agents for advanced clinical therapies relies on their in vitro expansion. Over the last years, several efforts have been made to optimize hMSC culture protocols, namely by mimicking the cell physiological microenvironment, which strongly relies on signals provided by the extracellular matrix (ECM). ECM glycosaminoglycans, such as heparan-sulfate, sequester adhesive proteins and soluble growth factors at the cell membrane, orchestrating signaling pathways that control cell proliferation. Surfaces exposing the synthetic polypeptide poly(L-lysine, L-leucine) (pKL) have previously been shown to bind heparin from human plasma in a selective and concentration-dependent manner. To evaluate its effect on hMSC expansion, pKL was immobilized onto self-assembled monolayers (SAMs). The pKL-SAMs were able to bind heparin, fibronectin and other serum proteins, as demonstrated by quartz crystal microbalance with dissipation (QCM-D) studies. hMSC adhesion and proliferation were significantly increased in pKL-SAMs compared to controls, most probably related to increased heparin and fibronectin binding to pKL surfaces. This proof-of-concept study highlights the potential of pKL surfaces to improve hMSC in vitro expansion possible through selective heparin/serum protein binding at the cell-material interface.
Transcriptomic and bioinformatics analysis of the mechanism by which erythropoietin promotes recovery from traumatic brain injury in mice

Recent studies have found that erythropoietin promotes the recovery of neurological function after traumatic brain injury. However, the precise mechanism of action remains unclear. In this study, we induced moderate traumatic brain injury in mice by intraperitoneal injection of erythropoietin for 3 consecutive days. RNA sequencing detected a total of 4065 differentially expressed RNAs, including 1059 mRNAs, 92 microRNAs, 799 long non-coding RNAs, and 2115 circular RNAs. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses revealed that the coding and non-coding RNAs that were differentially expressed after traumatic brain injury and treatment with erythropoietin play roles in the axon guidance pathway, Wnt pathway, and MAPK pathway. Constructing competing endogenous RNA networks showed that regulatory relationship between the differentially expressed non-coding RNAs and mRNAs. Because the axon guidance pathway was repeatedly enriched, the expression of Wnt5a and Ephb6, key factors in the axonal guidance pathway, was assessed. Ephb6 expression decreased and Wnt5a expression increased after traumatic brain injury, and these effects were reversed by treatment with erythropoietin. These findings suggest that erythropoietin can promote recovery of nerve function after traumatic brain injury through the axon guidance pathway.
Low level of extra-pair paternity in an urban population of blackbirds

Abstract We studied extra-pair paternity in a socially monogamous bird, the European Blackbird (Turdus merula). The research was conducted in an urban park in Poland. We obtained genetic samples from 36 broods (123 nestlings) of 21 unique pairs. The proportion of broods with some extra-pair nestlings was 17.1% (6 broods), and overall, 13.1% (16 nestlings) of all nestlings were sired by extra-pair males. In one brood (2.8% of all the investigated broods), we found one egg laid by a female which did not have her own territory in the study area (brood parasitism). These figures are relatively low compared to other closely related passerines. We suggest that mate guarding in the studied population may effectively prevent females from engaging in extra-pair activity, and in the case of females, divorce and serial polygamy are better strategies for enhancing the genetic quality and genetic diversity of their offspring than infidelity.
Bacterial Contamination of Antiseptics, Disinfectants, and Hand Hygiene Products Used in Healthcare Settings in Low- and Middle-Income Countries—A Systematic Review

We conducted a systematic review of healthcare-associated outbreaks and cross-sectional surveys related to the contamination of antiseptics, disinfectants, and hand hygiene products in healthcare settings in low- and middle-income countries (PROSPERO CRD42021266271). Risk of bias was assessed by selected items of the ORION and MICRO checklists. From 1977 onwards, 13 outbreaks and 25 cross-sectional surveys were found: 20 from Asia and 13 from Africa. Products most associated with outbreaks were water-based chlorhexidine, chlorhexidine-quaternary ammonium compound combinations (7/13), and liquid soap products (4/13). Enterobacterales (including multidrug-resistant Enterobacter cloacae, Klebsiella pneumoniae, and Serratia marcescens) and non-fermentative Gram-negative rods were found in 5 and 7 outbreaks and in 34.1% and 42.6% of 164 isolates, respectively, from cross-sectional surveys. Risk factors included preparation (place, utensils, or tap water high and incorrect dilutions), containers (reused, recycled, or inadequate reprocessing), and practices (topping-up or too long use). Potential biases were microbiological methods (neutralizers) and incomplete description of products’ identity, selection, and denominators. External validity was compromised by low representativeness for remote rural settings and low-income countries in sub-Saharan Africa. Outstanding issues were water quality, biofilm control, field-adapted containers and reprocessing, in-country production, healthcare providers’ practices, and the role of bar soap. A list of “best practices” to mitigate product contamination was compiled.
Successful treatment of cystic lesion combining Cystectomy, Nonsurgical Endodontics and Vital Pulp Therapy of Mature Permanent Mandibular Molars: a Case Report with 19 Months Follow-Up

ABSTRACT Background Clinical examination revealed large periapical lesion. Patient was referred for endodontic treatment of right mandibular first and second molars before planed cystectomy. The aim of this case report is to present the clinical approach to preserve healthy pulp tissue by combining nonsurgical root canal treatment and vital pulp therapy for mature mandibular molar. Methods A minimally invasive endodontic therapy treatment with combination of nonsurgical root canal treatment and vital pulp therapy was performed. Osteotomies around wisdom teeth were performed, wisdom teeth extracted, and cyst was removed. Results At the 19 months follow-up appointment patient had no complaints, radiographically full regeneration of periapical bone was observed. Conclusions A minimally invasive endodontic therapy treatment with combination of nonsurgical root canal treatment and vital pulp therapy for mature mandibular molar before a planned cystectomy could be considered as a treatment option showing good long-term results.