Determining and Validating Thermal Strain in Asphalt Concrete

AbstractThermal strain causes transverse cracks in Asphalt Concrete (AC) pavements. In this study, thermal strain is determined by developing a three-dimensional Finite Element Method (FEM) model and validates the model with measured data using the field installed Horizontal Asphalt Strain Gauge (HASG) in Interstate 40 (I-40) located near the city of Albuquerque in the state of New Mexico. Materials’ properties of the pavement section were determined by laboratory testing on field collected cores from the pavement section after the construction. Viscoelastic material properties of AC were determined from the creep test on the field cored samples. Coefficient of thermal expansion (CTE) and contraction (CTC) of AC were also determined in the laboratory and in the field. Results show that the FEM model can predict thermal strain with maximum variation of 6.0% compared to measured thermal strain in the field, which is very promising

A case of Pierre Robin syndrome in a child with no soft palate and complications from pneumonia in Bangladesh

Key Clinical Message Children with Pierre Robin syndrome (PRS) often have trouble breathing and eating as soon as they are born. If conservative therapy fails to alleviate airway obstruction, surgical surgery may be considered. Patients with PRS require multidisciplinary approaches for treatment. Abstract Pierre Robin syndrome is a common craniofacial abnormality that causes glossoptosis and blockage of the upper airway. This renders it difficult to feed, which leads to severe malnutrition. This condition is also often marked by an absence of a soft palate. We mention a newborn with Pierre Robin syndrome with the absence of a soft palate and pneumonia complications, whose impending respiratory failure was treated successfully. To solve the complex problems that these babies and their families are facing, a multidisciplinary approach is needed

Environmental Remediation Potential of Ferrous Sulfate Waste as an Eco-Friendly Coagulant for the Removal of NH3-N and COD from the Rubber Processing Effluent

The present study was conducted to determine the potential of utilizing the FeSO4·7H2O waste from the titanium manufacturing industry as an effective coagulant for treating industrial effluent. In this study, the secondary rubber processing effluent (SRPE) was treated using ferrous sulfate (FeSO4·7H2O) waste from the titanium oxide manufacturing industry. The FeSO4·7H2O waste coagulation efficiency was evaluated on the elimination of ammoniacal nitrogen (NH3-N) and chemical oxygen demand (COD) from SRPE. The central composite design (CCD) of experiments was employed to design the coagulation experiments with varying coagulation time, coagulant doses, and temperature. The coagulation experiments were optimized on the optimal elimination of NH3-N and COD using response surface methodology (RSM). Results showed that coagulant doses and temperature significantly influenced NH3-N and COD elimination from SRPE. The highest NH3-N and COD removal obtained were 98.19% and 93.86%, respectively, at the optimized coagulation experimental conditions of coagulation time 70 min, coagulant doses 900 mg/L, and temperature 62 °C. The residual NH3-N and COD in treated SPRE were found below the specified industrial effluent discharge limits set by DoE, Malaysia. Additionally, the sludge generated after coagulation of SRPE contains essential plant nutrients. The present study’s finding showed that FeSO4·7H2O waste generated as an industrial byproduct in a titanium oxide manufacturing industry could be utilized as an eco-friendly coagulant in treating industrial effluent

Smart Battery Management Technology in Electric Vehicle Applications: Analytical and Technical Assessment toward Emerging Future Directions

Electric vehicles (EVs) have received widespread attention in the automotive industry as the most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, the effectiveness of EVs can be affected due to battery health degradation and performance deterioration with lifespan. Therefore, an advanced and smart battery management technology is essential for accurate state estimation, charge balancing, thermal management, and fault diagnosis in enhancing safety and reliability as well as optimizing an EV’s performance effectively. This paper presents an analytical and technical evaluation of the smart battery management system (BMS) in EVs. The analytical study is based on 110 highly influential articles using the Scopus database from the year 2010 to 2020. The analytical analysis evaluates vital indicators, including current research trends, keyword assessment, publishers, research categorization, country analysis, authorship, and collaboration. The technical assessment examines the key components and functions of BMS technology as well as state-of-the-art methods, algorithms, optimization, and control surgeries used in EVs. Furthermore, various key issues and challenges along with several essential guidelines and suggestions are delivered for future improvement. The analytical analysis can guide future researchers in enhancing the technologies of battery energy storage and management for EV applications toward achieving sustainable development goals

Kanuka bush leaves for Alzheimer's disease: Improved inhibition of β-secretase enzyme, antioxidant capacity and yield of extracts by ultrasound assisted extraction

Alzheimer’s disease (AD) is a neurodegenerative disease leading to irreversible neuronaldamage. Kanuka or Kunzea ericoides (A. Richard) revealed a remarkable inhibition of B-secretase activity, an important enzyme for AD. This study presents optimization of theultrasound assisted extraction (UAE) of inhibitors of B-secretase and antioxidants from K.ericoides leaves, and yield by response surface methodology (RSM). Experimental validationof optimized conditions and 50% inhibitory extract concentrations (IC50) determinationswere performed. The extraction time and temperature were significant for enzyme inhibition, RSA (DPPH radical scavenging activity) and yield, while acoustic power density had lesseffect on the 3 responses. The optimum conditions were 15.6 min extraction time, 69◦C and0.43 W/mL. The ultrasound extraction produced better extracts in term of enzyme inhibition and RSA (lower IC50: 14.25 ug/mL enzyme, 3.17 ug/mL RSA), in comparison to Soxhletand maceration combined with heat, and a more rapid extraction with increased yield ofextraction. Ultrasound kanuka extracts can potentially complement existing AD treatmentinfo:eu-repo/semantics/publishedVersio