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Experimental investigation of the impact of wood sawdust incorporation on the physical and thermal properties of fired clay bricks
High performance eco-friendly free abrasive machining using an additively fabricated tool and PCD based slurry
Abstract This paper presents the results from lapping experiments conducted with the use of a lapping plate fabricated by the selective laser sintering (SLS) from the polyamide PA2200 powder. The minimum quantity of diamond grains (grade D107) and paste (grade SD 28/20) were uniformly distributed on the active surface of a soft plate allowing for the effective material removal and a substantial improvement of the surface finish of Al2O3 ceramic samples. The assessment of statistically significant differences between the means of the technological effects confirmed the stable course of lapping. Obtained results were compared to the results from lapping using other abrasive tools. It was demonstrated that selective laser sintering can be utilized to fabricate tools for the cheap, effective and environment-friendly abrasive finishing processing with minimum quantity abrasive dosing (MQAD).
The impact of the number of non-opioid psychotropic medications and their co-exposures during pregnancy on short-term outcomes in full-term neonates
Basic psychological needs mediate connectedness and meaning in life among Chinese college students
Decentralized queue control with delay shifting in edge-IoT using reinforcement learning
Abstract The article presents an adaptive approach to modelling and managing the service process of requests at peripheral nodes of edge-IoT systems. This approach is highly relevant in light of increasing demands for energy efficiency, responsiveness, and self-regulation under unstable traffic conditions. A stochastic G/G/1 model with a parameterised time shift is proposed, accounting for the temporary unavailability of the device prior to request processing. Analytical expressions for key QoS indicators (delay, variability, loss, energy consumption) as functions of the shift parameter are derived, and a multi-factor reward function is constructed. A DQN-based reinforcement learning agent architecture is implemented to dynamically control the shift parameter in a decentralised manner based on the local real-time queue state. Experimental results using real-world datasets demonstrated a reduction in average delay by 17–26%, decreased fluctuations in service time, and improved queue recovery stability after peak loads compared to current state-of-the-art models. The proposed solution is traffic-type agnostic and scalable across edge architectures of varying complexity. The results are suitable for deployment in sensor networks, 5G/6G edge scenarios, and systems with dynamic QoS and energy management.
Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images
Comparative analysis of ALA mediated sonodynamic therapy considering tumor size, light combination and ultrasound delivery in murine cutaneous melanoma
Evaluation of water ecological security and diagnosis of Obstacles in the Yangtze river delta, China
Ecotoxicological health risk analysis of different fish species from the Black Sea coast of Türkiye
Abstract The aim of this study, fourteen potential toxic elements (PTE) levels were measured in seven different fish consumed intensively in eight provinces along the Black Sea coastline of Türkiye. Furthermore, human health risk assessment from fish consumption was investigated using multiple statistical approaches, and a spatial distribution map of PTEs in the region was prepared. The average PTEs levels in the seven fish muscle are listed in the following order: Fe > Zn > As > Cu > Mn > Ni > Co > Hg > Cd > Pb > Cr with the values of 17.028 > 14.288 > 2.045 > 1.017 > 0.721 > 0.064 > 0.032 > 0.031 > 0.027 > 0.021 > 0.018 µg g-1, respectively. In the seven fish species examined, the sum of the mean values of toxic metals and essential metals was lowest in MM (18.75 µg g-1) and highest in EE (58.16 µg g-1) and MB (57.66 µg g-1 ). The maximum values of PTEs measured in fish were mostly observed in the provinces of Kastamonu, Sinop, Artvin and Rize. For all PTEs, hazard index (HI), target hazard quotients (THQ) and metal pollution index (MPI) from metal intake by ingesting seven fish species were less than 1, indicating no risk from consumption. It can be said that there is unlikely to be a risk of potential cancer issues in those who consume the fish used in this study, as the estimated daily PTEs intakes in fish were found to be much lower than acceptable daily intake levels. It is recommended to introduce biomonitoring species to these areas and to take preventive measures against metal pollution in order to monitor metal pollution from industrial and discharge areas, to identify, monitor and compare heavy metal sources.
A retrospective study to understand the impact of flooding on natural selection and physical growth dynamics
rRNA loss induced by rifampicin addition in Escherichia coli reflects extraction artifacts rather than in vivo degradation
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning
Genetic diversity assessment of walnut (Juglans regia L.) genotypes from inner Anatolia region Türkiye using ISSR and RAPD markers
Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring
Phenolic profile and protective role of Calendula officinalis against molybdenum-induced toxiciy in Allium cepa
Time series forecasting of chlorophyll-a concentrations in the Chesapeake Bay
Development of data driven models to accurately estimate density of fatty acid ethyl esters
A randomized controlled trial on the effectiveness of low-level laser therapy versus paracetamol-caffeine for pain control during overall orthodontic treatment
Autonomous, miniature research station (lab-payload) for the nanosatellite biological mission: LabSat
Abstract There is an increase in demand for bio-nanosatellites and biomedical methodologies as a result of experiments conducted in microgravity and radiation conditions. Currently, the latest trend is to replace the experiments carried out by cosmonauts at the International Space Station (ISS) with research performed with the use of autonomous payload for nanosatellite. This paper describes the lab-payload for a biological nanosatellite of the CubeSat type with a size of 2U (10 × 10 × 20 cm3). The proposed payload enables the long-term cultivation of two different biological experiments simultaneously and provides suitable growth conditions. This lab-payload is equipped with lab-chips dedicated to each of the cultures, a container with a nutrient solution, a medium dosing system, an optical detection system, lighting, a heating system and sensors for measuring temperature, humidity, pressure and radiation inside a thermos.