scholarly journals On the issue of chemical mechanism and soil salinity degree determination: Russian and foreign practices

2021 ◽  
Author(s):  
S. A. Manzhina ◽  
Keyword(s):  
Retrospective Analysis ◽  
Soil Salinity ◽  
Soil Degradation ◽  
Soil Salinization ◽  
Individual Characteristics ◽  
Chemical Mechanism ◽  
International Level ◽  
Salt Composition ◽  
Soil Salt

Purpose: analysis of the currently available approaches to determining the chemical mechanism and degree of soil salinity. In the course of research, the researches of Russian and foreign scientists, Russian and foreign methodological documents in the field of determining the degree and type of land salinization were studied. The methods of data analysis, processing and generalization were used. Discussion. The retrospective analysis of the Russian and foreign practices of assessing the degree and types of soil salt degradation was made by the author. The main indicators, assessed in the process of determining the degree and chemistry of soil salinization, as well as the methods for their determination, generally accepted in Russia and abroad, are given. Identification of these characteristics is of great importance in planning and carrying out reclamation activities aimed at increasing soil fertility, preventing soil degradation and loss of agricultural and commercial value. Conclusions. Based on a retrospective analysis of various possibilities for determining and classification of soil salt degradation, it was concluded that there are various methods oriented both to individual characteristics of soils in order to identify their unfavorable salt composition, and to different approaches to the procedures and methods of diagnosis. The main purpose of identifying the salt imbalance in agricultural lands composition is the possibility of preserving and improving their fertility, which, undoubtedly is carried out through reclamation measures in the case of their degradation. In order to develop uniformity in assessment and interpretation of data on the salt composition of soils, the degree of their salinity and the need for one or another type of reclamation work, it is necessary to develop a system of indicators based on the experience of Russian and foreign scientists with international practices. The development of the specified regulatory and methodological documentation should be focused on the international level, take into account all possible indicators affecting the accuracy of determination, excluding unnecessary details.

scholarly journals Relationship between Soil Salinization and Groundwater Hydration in Yaoba Oasis, Northwest China

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 175 ◽  
Author(s):  
Guoqing Cui ◽  
Yudong Lu ◽  
Ce Zheng ◽  
Zhiheng Liu ◽  
Jiamei Sai
Keyword(s):  
Water Quality ◽  
Spatial Distribution ◽  
Soil Salinity ◽  
Irrigation Water ◽  
Surface Soil ◽  
Soil Salinization ◽  
Irrigation Water Quality ◽  
Ion Content ◽  
Soil Salt ◽  
The Relationship

Precipitation is scarce and evaporation is intense in desert areas. Groundwater is used as the main water source to develop agriculture in the oases. However, the effects of using groundwater on the ecological environment elicit widespread public concern. This study investigated the relationship between soil salinity and groundwater characteristics in Yaoba Oasis through in situ experiments. The relationship of the mineral content, pH, and main ion content of groundwater with soil salt was quantitatively evaluated through a gray relational analysis. Four main results were obtained. First, the fresh water area with low total dissolved solid (TDS) was usually HCO3− or SO42− type water, and salt water was mostly Cl− and SO42−. The spatial distribution of main ions in groundwater during winter irrigation in November was basically consistent with that during spring irrigation in June. However, the spatial distribution of TDS differed in the two seasons. Second, soil salinization in the study area was severe, and the salinization rate reached 72.7%. In this work, the spatial variability of soil salinization had a relatively large value, and the values in spring were greater than those in autumn. Third, the soil in the irrigated area had a high salt content, and the salt ion content of surface soil was higher than that of subsoil. A piper trilinear diagram revealed that Ca2+ and K+ + Na+ were the main cations. SO42−, Cl−, and HCO3− were the main anions, and salinization soil mainly contained SO42−. Fourth, the changes in soil salt and ion contents in the 0–10 cm soil layer were approximately similar to those of irrigation water quality, both of which showed an increasing trend. The correlation of surface soil salinity with the salinity of groundwater and its chemical components was high. In summary, this study identified the progress of irrigation water quality in soil salinization and provided a scientific basis for improving the oasis ecosystem, maintaining the healthy development of agriculture, managing oasis water resources, and policy development. Our findings can serve as a reference for other, similar oasis research.

On the Classification of TI-RADS and Stratification of Signs of Thyroid Cancer According to Ultrasound Data

2017 ◽  
pp. 29-38 ◽  
Author(s):  
E. P. Fisenko ◽  
J. P. Sich ◽  
N. N. Vetsheva
Keyword(s):  
Thyroid Cancer ◽  
Retrospective Analysis ◽  
Thyroid Nodules ◽  
Thyroid Ultrasound ◽  
High Reproducibility ◽  
System 1

Objective:a comparative “blind” assessment of the thyroid nodules identified by ultrasound, according to the TI-RADS scale in various modifications.Materials and methods.Retrospective analysis of 149 echograms  of thyroid nodules by three independent experts was performed (the  experience of ultrasound of thyroid ultrasound for more than 7 years).Results. In solid nodules, high-specific large (more than 94%) and  small (more than 90%) ultrasound signs of thyroid cancer have been identified. The nodes are stratified according to the TI-RADS system: 1 – in the modification J.Y. Kwak et al. (2011), 2 – according to the  proposed system, taking into account small ultrasound signs of  thyroid cancer. High reproducibility of both systems are obtained. In the first system 13.7% of cancer nodes fell into the category of TI- RADS 3 (benign formations), in the second system only 5% of  cancers fell into the category of TI-RADS 3, which is important for  biopsy selection. The sensitivity of the first system was TI-RADS  82.05%, of the second system – 94.87%.Conclusions.Classification of TI-RADS can be used to interpret the  ultrasound results of thyroid nodules, taking into account both the  main large and small ultrasound signs of cancer. For its validation in  our country, it is necessary to further broad discussion of the proposed TI-RADS system.

scholarly journals Linking Long-Term Changes in Soil Salinity to Paddy Land Abandonment in Jaffna Peninsula, Sri Lanka

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 211
Author(s):  
Tharani Gopalakrishnan ◽  
Lalit Kumar
Keyword(s):  
Sri Lanka ◽  
Soil Salinity ◽  
Agricultural Land ◽  
Sea Water ◽  
Land Use Changes ◽  
Soil Salinization ◽  
Landsat Images ◽  
Paddy Land ◽  
Semi Arid Region

Soil salinity is a serious threat to coastal agriculture and has resulted in a significant reduction in agricultural output in many regions. Jaffna Peninsula, a semi-arid region located in the northern-most part of Sri Lanka, is also a victim of the adverse effects of coastal salinity. This study investigated long-term soil salinity changes and their link with agricultural land use changes, especially paddy land. Two Landsat images from 1988 and 2019 were used to map soil salinity distribution and changes. Another set of images was analyzed at four temporal periods to map abandoned paddy lands. A comparison of changes in soil salinity with abandoned paddy lands showed that abandoned paddy lands had significantly higher salinity than active paddy lands, confirming that increasing salts owing to the high levels of sea water intrusion in the soils, as well as higher water salinity in wells used for irrigation, could be the major drivers of degradation of paddy lands. The results also showed that there was a dramatic increase in soil salinity (1.4-fold) in the coastal lowlands of Jaffna Peninsula. 64.6% of the salinity-affected land was identified as being in the extreme saline category. In addition to reducing net arable lands, soil salinization has serious implications for food security and the livelihoods of farmers, potentially impacting the regional and national economy.

The Oxford Classification of IgA Nephropathy: A Retrospective Analysis

2011 ◽  
Vol 34 (5) ◽  
pp. 435-444 ◽  
Author(s):  
Timothy Yau ◽  
Stephen M. Korbet ◽  
Melvin M. Schwartz ◽  
David J. Cimbaluk
Keyword(s):  
Retrospective Analysis ◽  
Iga Nephropathy ◽  
Oxford Classification ◽  
The Oxford Classification

Predicting individual post-penitentiary crimes

2020 ◽  
pp. 80-88
Author(s):  
Валерий Ильич Терехин ◽  
Виктор Валентинович Чернышов ◽  
Ольга Викторовна Имамбаева
Keyword(s):  
Life Cycle ◽  
Individual Characteristics ◽  
Penal Institutions

Факторы рецидивных преступлений. Оценка вероятности рецидивов по стадиям жизненного цикла преступности. Проблема взаимосвязи факторов. Адаптация осужденных после освобождения. Классификация осужденных по вероятности постпенитенциарных рецидивов. Латентность преступлений как ограничение достоверности прогнозов преступности. Моделирование индивидуальных постпенитенциарных преступлений. В статье обоснована классификация осужденных на момент их освобождения из учреждений УИС по вероятности совершения ими постпенитенциарного рецидива. Приведен пример моделирования сроков совершения постпенитенциарных преступлений. В работе выделена совокупность индивидуальных характеристик осужденного, которые отражают его нацеленность на совершение латентных преступлений и способности их совершения. Factors of recidivism. Assessment of the probability of recidivism by stages of the life cycle of crime. The problem of interrelation of factors. Adaptation of prisoners after release. Classification of prisoners according to the likelihood of post-penitentiary relapse. Crime latency as a limitation on the reliability of crime forecasts. Modeling of individual post-penitentiary crimes. The article substantiates the classification of convicts at the time of their release from penal institutions by the probability of their post-penitentiary recidivism. An example of modeling the timing of post-penitentiary crimes is given. The paper highlights a set of individual characteristics of the convict, which reflect his focus on the Commission of latent crimes and the ability to commit them.

scholarly journals Predicting Improved Daily Use of the More Affected Arm Poststroke Following Constraint-Induced Movement Therapy

2019 ◽  
Vol 99 (12) ◽  
pp. 1667-1678 ◽  
Author(s):  
Mohammad H Rafiei ◽  
Kristina M Kelly ◽  
Alexandra L Borstad ◽  
Hojjat Adeli ◽  
Lynne V Gauthier
Keyword(s):  
Motor Activity ◽  
Retrospective Analysis ◽  
Upper Extremity ◽  
Probabilistic Neural Network ◽  
Movement Therapy ◽  
Individual Characteristics ◽  
Study Objective ◽  
Machine Learning Classification ◽  
Constraint Induced Movement Therapy ◽  
Ci Therapy

Abstract Background Constraint-induced movement therapy (CI therapy) produces, on average, large and clinically meaningful improvements in the daily use of a more affected upper extremity in individuals with hemiparesis. However, individual responses vary widely. Objective The study objective was to investigate the extent to which individual characteristics before treatment predict improved use of the more affected arm following CI therapy. Design This study was a retrospective analysis of 47 people who had chronic (> 6 months) mild to moderate upper extremity hemiparesis and were consecutively enrolled in 2 CI therapy randomized controlled trials. Methods An enhanced probabilistic neural network model predicted whether individuals showed a low, medium, or high response to CI therapy, as measured with the Motor Activity Log, on the basis of the following baseline assessments: Wolf Motor Function Test, Semmes-Weinstein Monofilament Test of touch threshold, Motor Activity Log, and Montreal Cognitive Assessment. Then, a neural dynamic classification algorithm was applied to improve prognostic accuracy using the most accurate combination obtained in the previous step. Results Motor ability and tactile sense predicted improvement in arm use for daily activities following intensive upper extremity rehabilitation with an accuracy of nearly 100%. Complex patterns of interaction among these predictors were observed. Limitations The fact that this study was a retrospective analysis with a moderate sample size was a limitation. Conclusions Advanced machine learning/classification algorithms produce more accurate personalized predictions of rehabilitation outcomes than commonly used general linear models.

scholarly journals Analysis of the international impact of the Brazilian base “Qualis”-Education

2020 ◽  
Author(s):  
FG Rocha ◽  
RF Sabino ◽  
Alejandro Frery
Keyword(s):  
Higher Education ◽  
Web Of Science ◽  
International Level ◽  
Research Institutions ◽  
International Context ◽  
International Impact ◽  
Current Scenario ◽  
The Impact

© 2020, Akadémiai Kiadó, Budapest, Hungary. This work deals with the journals in the area of Education classified in the last available Brazilian Qualis database, period 2013–2016, seeking to analyze the alignment of the strata to international bibliometric criteria. The impact of a journal implies its internationalization, which is a standard adopted worldwide. This subject has been gaining prominence in higher education and research institutions, which began to consider the production of their researchers in indexed journals.Considering the national and international relevance and the fact that they aggregate publications from various fields, we used data from the Scopus and Web of Science (WoS) databases. The results show that belonging to the most relevant international bases is not among the Capes requirements for the classification of journals, and also that there is a relatively low number of journals with a real impact for scientific dissemination in the field of Education. The conclusions indicate that, in the current scenario, researchers in this field will continue to publish their work in journals with little or no impact, making the output of Brazilian research remain without prominence at an international level. To ensure that the Qualis stratification in the field of Education does not distance itself from the international context, it is necessary to adopt criteria that privilege factors such as adherence to WoS and Scopus, especially for the A1 and A2 journals, considered of highest quality.

scholarly journals The soil-adjusted vegetation index for soil salinity assessment in Uzbekistan

2020 ◽  
Vol 26 (3) ◽  
pp. 324-333
Author(s):  
Nozimjon Teshaev ◽  
Bunyod Mamadaliyev ◽  
Azamjon Ibragimov ◽  
Sayidjakhon Khasanov
Keyword(s):  
Soil Salinity ◽  
Information Technologies ◽  
Vegetation Index ◽  
Arable Land ◽  
Salt Content ◽  
Secondary Data ◽  
Soil Surface ◽  
Soil Salinization ◽  
Arid Zones ◽  
Agronomic Practices

Soil salinization, as one of the threats of land degradation, is the main environmental issue in Uzbekistan due to its aridic climate. One of the most vulnerable areas to soil salinization is Sirdarya province in Uzbekistan. The main human-induced causes of soil salinization are the insufficient operation of drainage and irrigation systems, irregular observations of the agronomic practices, and non-efficient on-farm water use. All of these causes considerably interact with the level of the groundwater, leading to an increase in the level of soil salinity. The availability of historical data on actual soil salinity in agricultural lands helps in formulating validated generic state-of-the-art approaches to control and monitor soil salinization by remote sensing and geo-information technologies. In this paper, we hypothesized that the Soil-Adjusted Vegetation Index-based results in soil salinity assessment give statistically valid illustrations and salinity patterns. As a study area, the Mirzaabad district was taken to monitor soil salinization processes since it is the most susceptible territory of Sirdarya province to soil salinization and provides considerably less agricultural products. We mainly formulated this paper based on the secondary data, as we downloaded satellite images and conducted an experiment against the in-situ method of soil salinity assessment using the Soil-Adjusted Vegetation Index. As a result, highly saline areas decreased by a factor of two during the studied period (2005–2014), while non-saline areas increased remarkably from a negligible value to over 10 000 ha. Our study showed that arable land suitability for agricultural purposes has been improving year by year, and our research held on this district also proved that there was a gradual decrease in high salt contents on the soil surface and land quality has been improved. The methodology has proven to be statistically valid and significant to be applied to other arid zones for the assessment of soil salinity. We assume that our methodology is surely considered as a possible vegetation index to evaluate salt content in arable land of either Uzbekistan or other aridic zones and our hypothesis is not rejected by this research.

scholarly journals Soil salinization under different climate change scenarios: A global scale analysis

2021 ◽  
Author(s):  
Nima Shokri ◽  
Amirhossein Hassani ◽  
Adisa Azapagic
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Soil Salinity ◽  
Global Scale ◽  
Soil Salinization ◽  
Water Evaporation ◽  
Climate Change Scenarios ◽  
Spatio Temporal ◽  
Salt Affected Soils

<p>Population growth and climate change is projected to increase the pressure on land and water resources, especially in arid and semi-arid regions. This pressure is expected to affect all driving mechanisms of soil salinization comprising alteration in soil hydrological balance, sea salt intrusion, wet/dry deposition of wind-born saline aerosols — leading to an increase in soil salinity. Soil salinity influences soil stability, bio-diversity, ecosystem functioning and soil water evaporation (1). It can be a long-term threat to agricultural activities and food security. To devise sustainable action plan investments and policy interventions, it is crucial to know when and where salt-affected soils occur. However, current estimates on spatio-temporal variability of salt-affected soils are majorly localized and future projections in response to climate change are rare. Using Machine Learning (ML) algorithms, we related the available measured soil salinity values (represented by electrical conductivity of the saturated paste soil extract, EC<sub>e</sub>) to some environmental information (or predictors including outputs of Global Circulation Models, soil, crop, topographic, climatic, vegetative, and landscape properties of the sampling locations) to develop a set of data-driven predictive tools to enable the spatio-temporal predictions of soil salinity. The outputs of these tools helped us to estimate the extent and severity of the soil salinity under current and future climatic patterns at different geographical levels and identify the salinization hotspots by the end of the 21<sup>st</sup> century in response to climate change. Our analysis suggests that a soil area of 11.73 Mkm<sup>2</sup> located in non-frigid zones has been salt-affected in at least three-fourths of the 1980 - 2018 period (2). At the country level, Brazil, Peru, Sudan, Colombia, and Namibia were estimated to have the highest rates of annual increase in the total area of soils with an EC<sub>e</sub> ≥ 4 dS m<sup>-1</sup>. Additionally, the results indicate that by the end of the 21<sup>st</sup> century, drylands of South America, southern and Western Australia, Mexico, southwest United States, and South Africa will be the salinization hotspots (compared to the 1961 - 1990 period). The results of this study could inform decision-making and contribute to attaining the United Nation’s Sustainable Development Goals for land and water resources management.</p><p>1. Shokri-Kuehni, S.M.S., Raaijmakers, B., Kurz, T., Or, D., Helmig, R., Shokri, N. (2020). Water Table Depth and Soil Salinization: From Pore-Scale Processes to Field-Scale Responses. Water Resour. Res., 56, e2019WR026707. https://doi.org/ 10.1029/2019WR026707</p><p>2. Hassani, A., Azapagic, A., Shokri, N. (2020). Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale, Proc. Nat. Acad. Sci., 117, 52, 33017–33027. https://doi.org/10.1073/pnas.2013771117</p>

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