Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean.

Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food security. It is necessary to monitor it in detail and uncover its underlying factors at a regional scale. In this context, the present study aimed to evaluate soil health in the eastern Mediterranean region by using the Sodium Adsorption Ratio (SAR) as an indicator of soil salinity in three distinct soil horizons.

Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990-2019).

Reducing environmental pollution is a critical goal in global environmental economics and economic development. The European Union (EU) faces environmental challenges due to its development activities. Here we present a comprehensive approach to assess the impact of carbon dioxide (CO) emissions, energy consumption (EC), population structure (POP), economy (GDP), and policies on the environment within the EU using the environmental Kuznets curve (EKC).

Sonographic and clinical effects of manual physical therapy for plantar fasciitis: randomized prospective controlled trial.

Objective: This study aimed to evaluate the efficacy of manual physiotherapy on clinical outcomes, morphology of plantar fascia (PF), thicknesses of calcaneal fat pad (CFP) and Kager's fat pad (KFP) with ultrasound imaging in plantar fasciitis (PFS) patients. Also, to evaluate the PF thickness, pain and foot functional outcomes among PFS phases.

Methods: A randomized controlled trial was conducted on 122 subjects divided into three groups: group A (40 patients with PFS) underwent manual physiotherapy, group B (42 patients with PFS) without any intervention and group C (40 healthy subjects) were matched by age, gender and BMI with each patient in group A and B.

Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa.

Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry and Fisheries (2002-2021).

Environmental impacts of corn silage production: influence of wheat residues under contrasting tillage management types.

The intensification of specific land management operations (tillage, herbicide, etc.) is increasing land degradation and contributing to ecosystem pollution. Mulches can be a sustainable tool to counter these processes.

Spatial-temporal dynamic impact of changes in rainfall erosivity and vegetation coverage on soil erosion in the Eastern Mediterranean.

In Syria, soil erosion (SoEr) by water is one of the major challenges for sustainability. Thus, the main goals of this research were to evaluate the spatial changes of SoEr between 2000 and 2018 in the whole coastal basin (CB) of Syria and to provide a soil water erosion risk map for the study area. For this purpose, monthly rainfall data, the SoilGrids dataset, satellite image derived NDVI layers, and Digital Elevation Model (DEM) were collected.

Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe.

The Modified Fournier Index () is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the is still rare. In this research, climate data (monthly and yearly precipitation (, ) (mm), daily maximum precipitation () (mm), monthly mean temperature () (°C), daily maximum mean temperature () (°C), and daily minimum mean temperature () (°C)) were collected from three stations in Hungary (Budapest, Debrecen, and Pécs) between 1901 and 2020.

An assessment of plantar fascia with ultrasound findings in patients with plantar fasciitis: a systematic review.

Introduction: Plantar fasciitis (PFS) is described by an intense pain over medial tubercle of calcaneus, increased with the first step after waking up, after rest and during weightbearing activity. It is the most common cause of plantar heel pain in adults with the prevalence estimated 10% of the general population. Ultrasound imaging is commonly being used to measure the PF thickness, evaluate the efficacy of different treatments and a guide therapeutic technique in patients with PFS.

Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary.

This study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI).

Assessing the WEPP model performance for predicting daily runoff in three terrestrial ecosystems in western Syria.

Soil erosion is one of the main threats facing the agriculture and natural resources sector all over the world, and the same is true for Syria. Several empirical and physically based tools have been proposed to assess erosion induced soil losses and runoff driving the processes, from plot to regional spatial scales. The main goal of this research is to evaluate the performance of the Water Erosion Prediction Project (WEPP) model in predicting runoff in comparison with field experiments in the Al-Sabahia region of Western Syria in three ecosystems: agricultural lands (AG), burned forest (BF) and forest (FO).

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran.

Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, models can be employed to estimate the potential effects of different climatic scenarios on environmental and human interactions.

Development of fuzzy analytic hierarchy process based water quality model of Upper Ganga river basin, India.

The ecological sustainability of rivers is in question due to severe pollution and lack of stringent regulations. Long term (1990-2016) water quality data of five stations namely Haridwar, Bareilly, Kanpur, Prayagraj and Varanasi of Upper Ganga river, India was considered for analysis using fuzzy analytical process (FAHP) based water quality index (WQI) to assess surface water quality. The value of water physical, biological and chemical parameters of temporal resolution (monthly, seasonal and yearly) indicate that value of electrical conductivity (EC), total dissolved solids (TDS), biological oxygen demand (BOD), chemical oxygen demand (COD), total alkalinity (Mg CaCO), total hardness (Mg CaCO), calcium (Ca), magnesium (Mg), sodium (Na), chlorine (Cl) and bicarbonate (HCO) were observed very high compared to recommended value of Bureau of Indian Standards (BIS) and World Health Organization (WHO) at Kanpur, Prayagraj and Varanasi stations.

Soils of the Southern Syria - A big database for the future land management planning.

As non-renewable natural resources, restoring Syrian soil quality is a vital issue for sustainable future planning after conflict ends. The data provided in this research exhibit features and physiochemical properties for soils from the southern part of Syria until the Jordanian border, which can provide decision-makers with sufficient information for rehabilitation stage after conflict in a regional scale. The data were collected from 107 representative soil profiles covering diverse agroecosystems throughout the area (i.

Dataset on the Mediterranean soils from the coastal region of the Lattakia governorate, Syria.

Soil survey is indispensable for land-use planning in any agro-ecosystem, particularly in coastal ecosystems because they often face several environmental problems such as flooding and water pollution, leading to soil degradation. The data given in this article revealing the common soil types and substantial taxonomy levels in the coastal region of Lattakia, Syria which is a key question for the land-use planning in the region. Data from 30 representative soil profiles and 60 auger points covering different agroecosystems within the Mediterranean coastal region of the Lattakia governorate, Syria were studied.

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.

Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting the working-age population across the globe. Screening for DR, coupled with timely consultation and treatment, is a globally trusted policy to avoid vision loss. However, implementation of DR screening programs is challenging due to the scarcity of medical professionals able to screen a growing global diabetic population at risk for DR.

BACH: Grand challenge on breast cancer histology images.

Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysis by pathologists, in a task that i) is highly time- and cost-consuming and ii) often leads to nonconsensual results.