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Changes in insulin, adiponectin and lipid concentrations with age are associated with frailty and reduced quality of life in dogs
Comprehensive pharmacokinetic profiling and molecular docking analysis of natural bioactive compounds targeting oncogenic biomarkers in breast cancer
Publisher Correction: Efficiency of MALDI-TOF MS at identifying and discriminating immature stages of cimex lectularius and cimex hemipterus bed bugs
Facial expressions during compound interventions of nociception, conspecific isolation, and sedation in horses
Abstract Facial expressions in prey animals such as equines can convey information regarding their internal state and are therefore often used as cues for welfare and pain evaluation. The state of pain is commonly compared to a neutral state with little consideration given to other experiences that could affect the animal, although this situation is rare outside of experimental contexts. To evaluate the effect of managerial contexts on facial expressions from a nociceptive input, conspecific isolation and sedation with known physiological effects were compared to compound states of nociception. Using an anatomically based facial action coding system and a short acting pain model, patterns of facial activity could discriminate between horses experiencing conspecific isolation, sedation, and a nociceptive stimulus separately. Nociception occurring together with conspecific isolation could not be discriminated from the conspecific isolation alone, and compound nociception and sedation could not be discriminated from control. While blinking frequency demonstrated potential to be a valuable marker when evaluating a nociceptive stimulus in sedated horses, careful consideration must be given to the biological interpretation of facial expressions during situations where managerial or drug effects may be present.
On computing extended graph energies and their thermodynamic properties for benzenoid hydrocarbons
Geographically weighted regression analysis of cesarean delivery using the Ethiopian Mini Demographic and Health Survey 2019
The science behind the first pig-organ transplant trial in humans
Molecular interactions, structural effects, and binding affinities between silver ions (Ag+) and amyloid beta (Aβ) peptides
Abstract Because silver is toxic to microbes, but not considered toxic to humans, the metal has been used as an antimicrobial agent since ancient times. Today, silver nanoparticles and colloidal silver are used for antibacterial purposes, and silver-peptide and similar complexes are being developed as therapeutic agents. Yet, the health effects of silver exposure are not fully understood, nor are the molecular details of silver-protein interactions. In Alzheimer’s disease, the most common form of dementia worldwide, amyloid-β (Aβ) peptides aggregate to form soluble oligomers that are neurotoxic. Here, we report that monovalent silver ions (Ag+) bind wildtype Aβ40 peptides with a binding affinity of 25 ± 12 µM in MES buffer at 20 °C. Similar binding affinities are observed for wt Aβ40 peptides bound to SDS micelles, for an Aβ40(H6A) mutant, and for a truncated Aβ(4–40) variant containing an ATCUN (Amino Terminal Cu and Ni) motif. Weaker Ag+ binding is observed for the wt Aβ40 peptide at acidic pH, and for an Aβ40 mutant without histidines. These results are compatible with Ag+ ions binding to the N-terminal segment of Aβ peptides with linear bis-his coordination. Because the Ag+ ions do not induce any changes in the size or structure of Aβ42 oligomers, we suggest that Ag+ ions have a minor influence on Aβ toxicity.
Disulfidptosis links the pathophysiology of ulcerative colitis and immune infiltration in colon adenocarcinoma
An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques
Prediction of InSAR deformation time-series using improved LSTM deep learning model
Advanced fault location method for three-terminal distribution lines using frequency characteristics and µPMU data
The adaptation and fitness costs to urban noise in the calls of the tree sparrow (Passer montanus)
Context-guided segmentation for histopathologic cancer segmentation
Abstract Microscopic inspection of histologically stained tissue is considered as the gold standard for cancer diagnosis. This research is inspired by the practices of pathologists who analyze diagnostic samples by zooming in and out. We propose a dual-encoder model that simultaneously evaluates two views of the tissue at different levels of magnification. The lower magnification view provides contextual information for a target area, while the higher magnification view provides detailed information. The model consists of two encoder branches that consider both detail and context resolutions of the target area concurrently for binary pixel-wise segmentation. We introduce a unique weight initialization for the cross-attention between the context and detail feature tensors, allowing the model to incorporate contextual information. Our design is evaluated using the Camelyon16 dataset of sentinel lymph node tissue and cancer. The results demonstrate the benefit of including context regions when segmenting for cancer, with an improvement in AUC ranging from 0.31 to 0.92% and an improvement in cancer Dice score ranging from 4.09% to 6.81% compared to single detailed input models.
Numerical investigation of high-temperature proton exchange membrane fuel cell conductivity at different parameters
Abstract This study uses the finite element technique to analyse a multi-dimensional model for a polyelectrolyte membrane fuel cell at high working temperature. A computational fluid dynamics (CFD) technique implements and solves this model. In addition, the membrane’s thickness, and catalyst layer’s thickness parameters have been studied. Membrane thickness is varied from to and the length of the fuel cell from to. The performance of the fuel cell was studied, analysed, and discussed for each case using the polarization curves and output power. The results indicate that the performance of fuel cells is enhanced by a thinner membrane than a thicker one with an increase in loading. The performance is approximated at light loads. Furthermore, the concentration of water at the cathode side of the fuel cell is highly affected by the change in fuel cell length more than the thickness of the membrane. Comparative analysis with prior research demonstrates strong agreement with our consequences.