Mobile data acquisition and processing in support of an urban heat island study

Global warming and changes in Earth’s weather patterns are the main consequences of climate change, and bioclimate discomfort has significant public health problems, especially for the elderly. Normally, the thermal characteristics of urban areas are poor due to a phenomenon known as urban heat island. Mobile and fixed temperature measurements were performed on 19 March 2021 in the city of Bologna, Italy. Mobile measurements took place with a car, along a 75-km transect, starting at 22:16 with a duration of 2 hours and 41 minutes, while fixed measurements were done using 15 present weather stations and also placing five thermometers in the city center. Various interpolation models (i.e., Traditional, Voronoi Tessellation, Global Trends, Triangulated Irregular Networks, Inverse Distance Weighting and Kriging) were applied to correct the mobile measurements using fixed data. Kriging fulfilled the best result with a correlation coefficient of 0.99 compared to the raw temperatures

Derivative UV/Vis spectroelectrochemistry in a thin-layer regime: deconvolution and simultaneous quantification of ascorbic acid, dopamine and uric acid

In this work, UV/Vis spectroelectrochemistry (SEC), in a thin-layer regime and parallel configuration, is selected to solve a complex mixture that contains dopamine (DA), ascorbic acid (AA) and uric acid (UA). These molecules, like many other biological compounds, are assuming a highly important place in analytical and biomedical fields due to the fundamental role that they play in human metabolism. In addition, low or high levels of these compounds are associated with diseases such as Parkinson’s disease. For this reason, the quantification of these biomolecules is becoming increasingly critical. However, some drawbacks must be overcome, because the three molecules coexist in the human body, and the species are subject to mutual interference. In fact, they are all oxidized at similar potentials, and their UV/Vis absorption bands overlap, greatly complicating their quantification. For this reason, derivative SEC together with suitable chemometric tools such as PARAFAC are proposed to solve this complex matrix. This technique allows us to separate the contribution of each of these molecules present in a sample and to quantify all of them, achieving high resolution and reproducibility. Besides, detection limits at the micromolar level are achieved for DA, AA and UA in mixture solutions. This work thus demonstrates the great potential for derivative potentiodynamic SEC combined with the appropriate chemometric tools in solving complex mixtures, a field where SEC is still taking the first steps.Ministerio de Economía y Competitividad (Grants CTQ2017-83935-RAEI/ FEDER, UE), Junta de Castilla y León (Grant BU297P18) and Ministerio de Ciencia, Innovación y Universidades (RED2018-102412- T). F.O. is grateful for the contract funded by Junta de Castilla y León, the European Social Fund and the Youth Employment Initiative. J.G.R. thanks theMinisterio de Economía y Competitividad for his postdoctoral contract (CTQ2017-83935-R AEI/FEDER, UE)

Quality of Financial Reporting, Investment and Quality of Disclosure: With Stressing on Type of FinancingQuality of Financial Reporting, Investment and Quality of Disclosure: With Stressing on Type of Financing

Abstract: I

Oncolytic viruses and pancreatic cancer

Background: Today, the pancreatic cancer prognosis is poor and genetic technology is developing to treat various types of cancers. Scientists are actively looking for a new technique to design a therapeutic strategy to treat pancreatic cancer. Several oncolytic viruses are known to be valuable tools for pancreatic cancer treatment. Recent Studies demonstrate their effectiveness and safety in various administration routes such as direct intratumoral, intracutaneous, intravascular, and other routes. Method: In this study, all studies conducted in the past 20 years have been reviewed. Reputable scientific databases including Irandoc, Scopus, Google Scholar and PubMed, are searched for the keywords of Pancreatic cancer, oncolytic, viruses and treatment and the latest information about them is obtained. Results: Engineering the oncolytic viruses' genome and insertion of intended transgenes including cytokines or shRNAs, has caused promising promotions in pancreatic cancer treatment. Some oncolytic viruses inhibit tumors directly and some through activation of immune responses. Conclusion: This approach showed some signs of success in efficiency like immune system activation in the tumor environment, effective virus targeting in the tumor cells by systemic administration, and enhanced patient survival in comparison with the control group. But of course, until now, using these oncolytic viruses alone has not been effective in elimination of tumors. © 202

Prediction of blast-produced ground vibration using particle swarm optimization

Blasting operation is an inseparable operation of the rock fragmentation process in the surface mines and tunneling projects. Ground vibration is one of the most undesirable effects induced by blasting operation which can cause damage to the surrounding residents and structures. So, the ability to make precise predictions of ground vibration is very important to reduce the environmental side effects caused by mine blasting. The aim of this paper is to develop a simple, accurate, and applicable model based on particle swarm optimization (PSO) approach for predicting the ground vibration induced by blasting operations in Shur River dam region, Iran. In this regard, two forms of PSO models, linear and power, were developed. For this work, a database including 80 data sets was collected, and the values of the maximum charge weight used per delay (W), distance between blast-point and monitoring station (D) and peak particle velocity (PPV) were measured. To develop the PSO models, PPV was used as output parameter, while W and D were used as input parameters. To check the performance of the proposed PSO models, multiple linear regression (MLR) model and United States Bureau of Mines (USBM) equation were also developed. Accuracy of models established was evaluated using statistical criteria, i.e., coefficient of correlation (R2) and root mean square error (RMSE), variance absolute relative error (VARE) and Nash & Sutcliffe (NS). Finally, it was found that the PSO power form provided more accurate predictions in comparison with PSO linear form, MLR and USBM models

Rapid recovery of the vegetation diversity and soil fertility after cropland abandonment in a semiarid oak ecosystem: An approach based on plant functional groups

International audienceIn many parts of the world, including the semi-arid Mediterranean areas, land abandonment has led to significant changes in vegetation composition, plant diversity as well as soil fertility. In this study, new approaches were presented on how the understory plant functional group diversity and composition changed after land abandonment in Zagros oak forests (Quercus brantii Lindl.) in western Iran. In addition, the impact of land-use change on main soil properties were investigated. The diversity and nutrient status of the three stages of the secondary succession of abandoned agroforestry systems were compared: croplands after a short period of abandonment (~5 years), croplands after a long period of abandonment (~15 years) and oak forests representing the ‘climax’ stage. The plant species were classified in four functional groups (annual forb, annual grass, perennial forb, and perennial grass). The diversity indices were computed for each group and each stage. Results showed that the Shannon-Wiener diversity and Margalef richness of all functional groups significantly increased with time from the shortly abandoned croplands to the forest. Shortly after abandonment, annuals (especially annual forbs) were dominant whereas the abundance of the perennials increased after 15 years of abandonment and in the ‘climax’ forest. The soil content in lime decreased along the successional stages (from 52.7% to 26.4%) and was strongly negatively correlated with the diversity of the perennial forbs. In contrast, the soil total nitrogen and aggregate stability increased with succession (respectively from 0.04% to 0.19% and from 0.49 mm to 0.92 mm) and were strongly positively correlated with the diversity of this group. Recovery in soil fertility (and in particular, total nitrogen), provided suitable conditions for the establishment of a wide range of plant functional groups, which in turn increased the species diversity. The relatively fast recovery of soil fertility and plant diversity of abandoned agricultural lands indicated that the reestablishment of the forest vegetation could rely mostly on natural processes

The effect of monolaurin in combination with Mentha pulegium L. and Mentha spicata L. essential oils on Bacillus cereus and E. coli O157:H7: in vitro study

Monolaurin, pennyroyal (Mentha pulegium L., Labiatae) and spearmint (Mentha spicata L.) essential oils have various antibacterial activities on microorganisms. Enhancement of antibacterial activity and detection of their combined effects on B.cereus ATCC 11778 and E. coli O157:H7 were the purpose of this investigation. Monolaurin preparation, spearmint and pennyroyal essential oils preparation and analysis of their chemical composition with GC-MS method, bacterial inoculums preparation, antimicrobial susceptibility testing using broth micro dilution MIC testing and finally statistic analysis of results with SPSS software package were the material and methods used in this research. MIC (minimum inhibitory concentration) of pennyroyal oil, spearmint oil, monolaurin, monolaurin-pennyroyal oil combination and monolaurin-spearmint oil combination on B.cereus and E. coli O157:H7 were significant (