In this review, some problems of the unconventional superconductivity in Sr2RuO4 are touched. In the strontium ruthenate compound (Sr2RuO4), the Ehrenfest relations, the elastic velocity propagation, and ultrasound attenuation find a common point to study elastic lattice effects. This can turn into a new role of the spin and polarization of the transverse phonon fields and their interaction with the conduction electrons in its normal state.

Globally organochlorine (OC) pesticides are synthetic pesticides and widely used for controlling of pest in agriculture field and assumed to be having adverse effects on vertebrate biodiversity. Pesticides experience leads to effects on nontarget living organisms, and fish being one of the most important examples among these. Acute absorption of chlorinated pesticides leads to increased death ratio, while secondary toxic concentration caused different lethal changes. These changes may be in behaviour of the exposed fish in aquatic bodies such as change in feeding, reproduction, and some histological changes in liver, kidney, gill, muscle and intestine. The lipophilic nature of fish muscle tissues in aquatic ecosystem, higher level of OCs measured in fish muscle tissue through gas chromatography and other advanced chromatographic techniques with the help of detectors. Organochlorine pesticides and their related chemicals are accumulated in animal’s bodies through food chain and food web. Some organochlorine pesticides reduced the cholinesterase activity of amphibians and reptiles. Several studies were reported that number of non-target species can be affected when pesticides are used because of their inhibition of cholinesterase activity. Small levels of organochlorine were also observed in the tissues and blood samples of birds species. In this review we summarizes the some adverse effects of the use of organochlorine pesticides and related chemicals in the selected vertebrate biodiversity.

For a machined mild steel material of certain physical and chemical properties, the surface roughness, prescribed in four different parameters each of which is desired to be as minimal as possible, is known to be a function of the machining (cutting) parameters including cutting speed (m/min), feed rate (mm/rev) and depth of cut (mm).This functional relationship between each of the roughness parameters and machining parameters must be represented by a model and subsequently optimized to determine the optimal values of the machining parameters that minimize the parameters of surface roughness. In Response Surface Methodology (RSM), Model Robust Regression 2 (MRR2) is a good choice of a statistical model. MRR2 is a hybrid model obtained from the combination of both the classical parametric Ordinary Least Squares (OLS) and a nonparametric Local Linear Regression (LLR) via a mixing parameter. LLR portion of MRR2 utilizes kernel weights derived from the simplified product Gaussian function. A motivation for this paper is derived from the fact that, since the OLS residuals are the equivalence of the response that the LLR portion is designed to estimate, then the kernel weight at each data point should reflect the relative magnitude of the OLS residual at each data point. In order to improve on the performance of MRR2, we therefore propose a robustification of the kernel weights using two different linearly transformed residuals vectors from the OLS component. Data from real experiments, statistical literature as well as simulation study were analyzed. Comparison of results shows that the MRR2 that utilizes the proposed robustified kernel weights outperforms OLS, LLR and the MRR2 that utilizes existing kernel weights by considerably wide margins. For the minimization of surface roughness of a machined mild steel material (EN10) in particular, the optimal cutting speed, feed rate and depth of cut of 254.3979m/min, 0.1774mm/rev and 0.4388mm, respectively, obtained by MRR2 utilizing one of the proposed techniques for robustifying kernel weights gave a desirability of 99.4%. This implies that the optimal value of each of the four roughness parameters collectively meets 99.4% of the process requirements.

Pesticide-based natural-enemy exclusion trials can accurately determine the efficacy of biocontrol agents on invasive weeds, provided that the chemicals have negligible effects on the plants. In an enemy-free environment, we assessed whether applications of the insecticide (imidacloprid) and fungicide (tebuconazole) affected the performance of the highly invasive Madagascar ragwort. Applications of the insecticide and fungicide, used alone and in combination, had no significant effects on the growth and flowering of Madagascar ragwort. Thus, these pesticide treatments can facilitate subsequent enemy exclusion trials used to assess the impact of established biocontrol agents on Madagascar ragwort populations in the field.

It is known from the brief nature of the territory of the research district that the date of establishment of Agjabadi district 08.08.1930. The territory 1.76 thousand sq.m. km. Population 136.8 thousand people (January 1, 2020), population density 1 sq. km. km 78 people (January 1, 2020). Agjabedi district is located in Mil and Garabagh plains of Kur-Araz lowland. Agjabedi city and Sarvanlar, Kurds, Minakhorlu, Garavelli, Galabadin, Avshar, Muganli, Shahsevan, Koyuk, Tazakend, Khojavend, Salmanbeyli, AshagiAvshar, Hindarkh, Imamgulu-beyli, Mirzahagverdili, Sarijali, Balakhrizli, Taynaq, Poinag, Sharafkhanli, Shotlanli, Shenlik, Husulu, Ranjbarlar, Boyat, Hajilar, Garakhanli, Hajibadalli, Pariogullar, Agabeyli, Garadolag, Mehrabli, Kabirli, Aran, YeniGaradolag, Najaf-gulubeyli, Qiyameddinli, ShahsevanTazakand, Shahsevan-Tazakand, Includes Jafarbeyli and YukhariQiyameddinli villages. The relief of the region is flat, gradually rising from the north-east to the south-west. The surface of the area is composed of continental-alluvial and marine sediments of the anthropogenic system. There is a clay deposit. The climate is temperate hot, dry subtropical. The average temperature is 1.2-1.7 °C in January and 25-26 °C in July. Annual precipitation is 300-500 mm. The river network is sparse. The Kura River flows along the north-eastern border, and the Gargar River flows through the central part. The Upper Karabakh canal passes through the region. There is a salt lake in the area. Gray-meadow, gray, meadowgray soils are widespread. In the central part, saline and saline soils are found. The plants are of steppe and semi-desert type. There are bushes and sparse Tugay forests on the banks of the Kura River. Animals: gazelle, wolf, wild boar, jackal, fox, swamp beaver, badger, gray rabbit, Asia Minor sand mouse, etc. Birds: turkey, pigeon, black grouse, pheasant, etc. Aggol National Park is located in Agjabadi district. Fifteen species of wild animals, 20 species of fish and 40 species of plants have been recorded here. Agjabadi is mainly an agricultural region. Fruit growing, cotton growing, grain growing, silkworm breeding, animal husbandry, etc. developed.

Generating the entire permutation sample space has been identified as a major problem in constructing the exact test of significance of a rank statistic. Procedures for most of the existing methods for finding the exact distribution for the common test statistics that are in use today are usually based on asymptotics which only give approximate results. The definition of what constitute a large sample in order to apply the large sample approximation is quite vague. In this paper, a method for obtaining the exact distribution of the Kruskal-Wallis (K-W) test is presented. The proposed method is based on combinatorics in the representation of the probability generating function of the test statistic. Essentially, this paper produces the exact critical values of the K-W test and the minimum sample size required for the application of the large sample approximation of the K-W statistic

The synthesis of these novel N-aryl substituted benzenesulphonamid derivatives was reported using benzenesulphonyl chloride in a mixture of acetone and pyridine as a solvent and base respectively. This was achieved by coupling reaction of benzenesulphonyl chloride with different substituted aromatic amines. Their solubilities in different solvents and antiinflammatory activity of the products were also reported. The synthesized sulphonamide derivatives were characterized using FTIR, 1HNMR, 13CNMR and UV Spectroscopy. These sulphonamide derivatives reported in this work had been tested and confirmed to have anti-inflammatory activity in comparison with paracetamol as a standard drug.