Spatial regularization has been proved as an effective method for alleviating the boundary effect and boosting performance of a discriminative correlation filter (DCF) in aerial visual object tracking. However, existing spatial methods usually treat regularizer supplementary term apart from main regression neglect to regularize involved operation. To address aforementioned issue, this article introduces novel saliency-aware dual regularized filter, i.e., DRCF. Specifically, proposed DRCF...

Biochar is a stable carbon rich by-product synthesized through pyrolysis of plant and animal based biomass, nano-biochar material has gained increasing attention due to its unique properties for environmental applications. In the present study, simple cost-effective method synthesis biochar nanoparticles hydrothermally using agricultural residuals by-products was developed. Both soybean straw cattle manure were selected as feedstock produce bulk-biochar. The procedure involved digestion...

The corrosion resistance of FeCoNiCr high-entropy alloy deposits was investigated upon being prepared by current electrodeposition. coatings were co-deposited in an electrolyte aqueous ferrous, cobalt, nickel, and chromium sulfates solution. Energy dispersive spectrometry analysis demonstrated that all four elements successfully. At the same time, results from SEM indicate surface coating exhibits a granular morphology, with uniform density no presence cracks, sizes ranging 500 nm to 5 μm....

Correlation filters (CFs) have shown excellent performance in unmanned aerial vehicle (UAV) tracking scenarios due to their high computational efficiency. During the UAV process, viewpoint variations are usually accompanied by changes object and background appearance, which poses a unique challenge CF-based trackers. Since appearance is gradually changing over time, an ideal tracker can not only forward predict position but also backtrack locate its previous frame. There exist response-based...

In the field of UAV object tracking, correlation filter based approaches have received lots attention due to their computational efficiency. The methods learn filters by ridge regression and generate response maps distinguish specified target from background. An ideal can predict object's position in a new frame, turn, backtrack past frames. However, neglect tracking reversibility most limits potential using inter-frame information improve performance. this work, novel bidirectional...

Selective laser melting (SLM)-produced variable-density (VD) lattice structures are deemed a promising solution to lightweight design. However, due the large number of cells in structures, designing VD is still time-consuming and exhibits poor adaptability external load. Therefore, order decrease design variables design, this paper proposed modelling approach for manufactured using SLM. The stress values provided by finite element analysis (FEA) were grouped according k-means clustering,...

Objective The aim is to construct machine learning (ML) prediction models for the difficulty of retroperitoneal laparoscopic adrenalectomy (RPLA) based on clinical and radiomic characteristics validate models. Methods Patients who had undergone RPLA at Shanxi Bethune Hospital between August 2014 December 2020 were retrospectively gathered. They then randomly split into a training set validation set, maintaining ratio 7:3. model was constructed using validated set. Furthermore, total 117...

Abstract Numerous studies establish a significant correlation between autoimmune disorders (AIDs) and prostate cancer (PCa). Our Mendelian randomization (MR) analysis investigates the potential connection rheumatoid arthritis (RA) PCa, aiming to confirm causal links systemic lupus erythematosus (SLE), hyperthyroidism, PCa. Summary statistics from genome-wide association provided data on PCa three AIDs. MR analysis, using IVW as main approach, assessed relationships, validated by sensitivity...

While it is known that accurate evaluation of overall survival (OS) and disease-specific (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable effective prediction model exists. This study aimed to develop models evaluate survival. enrolled 5448 masses from the SEER Program. The influencing factors were selected using least absolute shrinkage selection operator regression (LASSO) Fine Gray (FGM). In addition, nomograms constructed. Receiver operating...

Herein, NiCrP amorphous alloy coatings were prepared on copper substrates by electrodeposition. The aim of this paper is to replace Cr6+ with Cr3+ prepare coating, which can reduce environmental pollution. By studying the influence pH, temperature (T), current density (DK), and CrCl3 concentration structure, surface morphology, composition, corrosion resistance coatings, optimum bath formulation process parameters determined as follows: 25 g·L−1 NiSO4·6H2O, 100 CrCl3·6H2O, 20 NaH2PO2·H2O, 80...

Abstract Handling robots are widely used today, and non-fixed handling is more effective than fixed in some specific scenarios. The of can increase the load reduce precise positioning process grabbing object, but velocity relatively slow for stability object. In addition, it needs to consider friction reaction force constraints on This paper proposes a high-velocity method robot. First, deduces that maintain dynamic balance object during into robot constraints. Then, time-optimal trajectory...

Renal metastasis of breast angiosarcoma is rare. This article reports the medical records a patient diagnosed with who underwent radical mastectomy and was found to have multiple lung metastases 3 years after surgery renal pelvic 4 surgery. The robot-assisted laparoscopic nephroureterectomy sleeve resection intramural segment ureter, postoperative pathology immunohistochemical staining confirmed diagnosis angiosarcoma. received anlotinib for following followed up months Currently, has...

Neuroendocrine carcinoma (NEC) is a rare yet potentially perilous neoplasm. The objective of this study was to develop prognostic models for the survival NEC patients in genitourinary system and subsequently validate these models. A total 7125 neuroendocrine neoplasm (NEN) were extracted. Comparison with different types NEN before after propensity score-matching (PSM). 3057 NEC, whose information complete, influencing factors chosen through utilization least absolute shrinkage selection...

To explore the value of combined radiomics and deep learning models using different machine algorithms based on mammography (MG) magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). The objective is to provide guidance developing scientifically individualized treatment plans, assessing prognosis, planning preoperative interventions.

In a multiple degrees of freedom motion system with rigid-flexible coupling, the flexible internal dynamics have significant negative impact on performance because are coupled. Inspired by this problem, multi-input multioutput state-space model based modal coordinates is proposed to decouple rigid body and modes. The closed-loop subspace identification method orthogonal utilized develop an unbiased standard model. Based similarity principle, analysis transfer modal-decomposition-dependent...