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Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks
Algorithmic solutions for warehouse site selection using complex pythagorean fuzzy soft sets in supply chain management
Abstract Global trade heavily depends on effective supply chain management and the strategic placement of distributors. Additionally, customer demands are becoming increasingly diverse and dynamic, with each customer expecting prompt and reliable responses from companies or distribution centers. To ensure a fast and efficient delivery process, businesses are striving to make well-informed decisions about the site selection of distribution centers or warehouses. The growth and success of online businesses, such as those on Amazon, largely hinge on the strategic site selection of their warehouses to expedite supply chain operations. This site selection process requires a comprehensive analysis of various factors. However, collecting and processing the relevant data often involves uncertainties and fuzziness. To address these challenges, the proposed research introduces a novel algorithmic approach based on distance measures within the Complex Pythagorean Fuzzy Soft Set (CPFSS) framework. The research presents the formulation of distance measures for the CPFSS, followed by the development of an algorithm. This algorithm is then applied to a real-life case study for the site selection of a warehouse for a company named HCRFT, which specializes in handicrafts. Furthermore, a detailed comparison between the proposed approach and existing models is conducted to validate and demonstrate the effectiveness of the algorithm. Finally, concluding remarks summarize the findings and implications of the study.
Association of serum osmolality levels with all-cause mortality risk in patients with DKA
Effect of GLP-1RA on coronary progression and cardiovascular outcomes in type 2 diabetic patients after PCI: a prospective cohort study
A novel decision support system for sustainable logistics management in interval-valued fermatean picture fuzzy structure
Tea tree oil in inhibiting oral cariogenic bacterial growth an in vivo study for managing dental caries
Impacts of ultrasonic osteotomy devices on bone regeneration and brain activity in a mouse model
Alpha-synuclein is increased in erythrocytes in parkinson’s disease cases
Inhibiting the DNA damage repair of HNSCC cells in combination with normo-fractionated radiotherapy influences clonogenicity, senescence and expression of NK cell activation markers
Abstract Treatment of head and neck squamous cell carcinomas (HNSCC) remains challenging with regards to radioresistance, particularly of Human Papilloma Virus (HPV)-negative tumors. Several new approaches are currently under pre-clinical and clinical investigation. Combination of radiotherapy (RT) and kinase inhibitors of the DNA damage repair system (DDRi), targeting Ataxia Telangiectasia Mutated (ATM) or ATM and Rad3-related (ATR), are promising, but the consequences on tumor cell phenotype are still scarce. We used AZD0156, an ATM inhibitor, and VE-822, an ATR inhibitor, in combination with normo-fractionated RT to treat two HPV-positive and two HPV-negative HNSCC cell lines. Generally, an effective reduction of clonogenicity was detected in tumor cells treated with a combination of RT + DDRi. Inhibiting ATM in combination with RT changed the cellular morphology, enhanced β-Gal activity and intensified secretion of senescence-associated cytokines. As senescent cells are naturally targeted by NK cells, we next analyzed the release of the cytokines IL-6 and IL-8 and found them to be differently regulated by the inhibitors. In co-culture with NK cells, an upregulation of activation markers on NK cells was observed, particularly after contact with RT + ATMi-treated HPV-negative HNSCC cells. We conclude that ATM inhibitor-related induction of senescence in HNSCC cells shapes the tumor micro-environment in way that NK cell phenotype is changed.
Effect of various heat treatment methods and optimization of their parameters on mechanical properties of AISI 4140 steel
Abstract AISI 4140 steel is one of the important category in the steels with wide range of applications including but not limited to automotive, general machinery, oil and gas industry. In the current study, an effort is made to understand the effects of heat treatment parameters, such as heat treatment temperature and holding time, on the mechanical properties of AISI 4140 steel, and to optimize these parameters to obtain the superior combination of mechanical properties. The three important heat treatments which are used in this study are annealing, normalizing and oil quenching. The heat treatment parameters such as temperature and time are varied at three different levels of 900, 925, and 950 °C, and 1, 1.5, and 2 h respectively. Using the full factorial method, total 9 experiments were carried out with all the possible combination of temperature and time as the variants. In each of the tests, hardness and impact energy values were evaluated using appropriate tests, while microstructural changes were analyzed through a scanning electron microscope (SEM). The results obtained through statistical analysis have shown that combination of 900 °C with 2 h for annealing, 919 °C with 2 h for normalizing and 944 °C with 1 h for oil quenching as the optimum combination of heat treatment parameters for superior combination of hardness and impact energy. Results showed that increasing temperature led to grain coarsening, reducing hardness but improving impact energy. Regression equations generated in this study which have R square value more than 90% may be used to predict the hardness and impact energy for any value of temperature and time which is within the range of values considered for this study.
Perinatal methimazole exposure impairs the distribution and function of layer 5 neurons in the mouse auditory cortex
Rapid simulation for real-time flood depth prediction using support vector machine
Colored plastic mulch impacts on soil properties, weed density and vegetable crop productivity: A meta-analysis
Critical factors analysis of student-athletes learning training contradiction via AHP
Author Correction: Bone marrow-derived mesenchymal stem cells (BMSCs) repair acute necrotized pancreatitis by secreting microRNA-9 to target the NF-κB1/p50 gene in rats
An innovative Squid Game Optimizer for enhanced channel estimation and massive MIMO detection using dilated adaptive RNNs
Randomized clinical trial of photobiomodulation and glass ionomer sealant for hypersensitivity in molar incisor hypomineralization
Abstract This study evaluated the impact of photobiomodulation (PBM) combined with glass ionomer sealant on hypersensitivity, oral hygiene, and sealant retention in molars affected by molar incisor hypomineralization (MIH). Forty-nine children (6–12 years) with MIH (Grade 3, 4a, or 4b) per MIH-TNI criteria were randomly assigned to two groups: control (n = 25, fluoride toothpaste, sealant with self-curing glass ionomer cement, simulated PBM) and treatment (n = 24, fluoride toothpaste, sealant with self-curing glass ionomer cement, active PBM). Hypersensitivity (SCASS, VAS), oral hygiene (OHI-S), and sealant retention (CCC system) were assessed. Forty-six children completed the study and were evaluated. At all post-baseline time points, the treatment group showed significantly lower VAS and SCASS scores (p < 0.05). OHI-S improved in both groups, with a positive correlation between reduced hypersensitivity and better oral hygiene. Sealant retention was higher in the treatment group after 30 days, with 56.5% of teeth showing complete retention versus 17.4% in the control group (p = 0.002). In the control group, greater hypersensitivity correlated with worse retention. PBM combined with glass ionomer cement reduces hypersensitivity, improves oral hygiene, and enhances sealant retention in MIH-affected molars. The combined treatment provides superior results in hypersensitivity reduction and sealant retention compared to sealant alone, offering a more effective approach for managing MIH. Trial registration: NCT05370417 in ClinicalTrials.gov