Escherichia coli transport in two acidic soils: Effect of microbially induced calcite precipitation technology.

Microbially induced calcite precipitation (MICP) while neutralizing soil pH, can lead to pore clogging which in turn may reduce bacteria transport. This study aimed to evaluate the effectiveness of the MICP process for E. coli filtration in two acidic soils.

Effects of biological fertilizers on physiological traits and bioactive compounds in saffron (Crocus sativus L.).

Background: Relatively few studies have explored the impact of biofertilizers on the qualitative and quantitative yield of saffron despite its global agricultural and medical importance. This study aimed to evaluate the physiological and phytochemical responses of saffron to potassium (K), phosphorus (P), and iron-zinc (Fe-Zn) biofertilizers over 2 consecutive years (2022-2023). The treatments included single and combined applications of K, P, and Fe-Zn biofertilizers containing active bacterial inoculum, along with a control group, resulting in a total of eight treatments.

The Use of Extract in Ameliorating Heat Stress-Induced Oxidative Damage and Improving Growth Efficiency in Carp Juveniles ().

Herbal extracts have been successfully used as feed additives in fish culture with attractive growth-promoting, immunostimulant, antimicrobial, and antioxidant properties for several fish and shellfish species. Therefore, we have designed a feeding trial to assess the impacts of dietary incorporation of extract (PAE) on common carp (). For this purpose, five isonitrogenous (35% protein) and isocaloric (~4,000 kcal/kg) diets have been supplied by supplementing PAE at the varying inclusion levels as 0.

Effects of Dietary Yeast, , and Costmary, , Essential Oil on Growth Performance, Digestive Enzymes, Biochemical Parameters, and Disease Resistance in Nile Tilapia, .

The present study assessed the effects of dietary yeast, , and costmary, , essential oil on growth performance, biochemical parameters, and disease resistance of Nile tilapia, . Four diets containing 1 g/kg yeast (Sc), 0.1 g/kg costmary essential oil (Tb), 1 g/kg yeast + 0.

Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction.

Purpose: Synthetic datasets hold the potential to offer cost-effective alternatives to clinical data, ensuring privacy protections and potentially addressing biases in clinical data. We present a method leveraging such datasets to train a machine learning algorithm applied as part of a computer-aided detection (CADe) system.

Approach: Our proposed approach utilizes clinically acquired computed tomography (CT) scans of a physical anthropomorphic phantom into which manufactured lesions were inserted to train a machine learning algorithm.

The Study of Caspian Roach () Fry Health Fed with Phytobiotic-Supplemented and Salinity Stress Resistance with Emphasis on Gill Tissue Pathology.

Herbal treatment augments immune and antioxidant responses and suppresses stress in fish. Ginger () is a popular plant with medicinal uses because of its immunostimulant, antimicrobial, and antioxidant characteristics. This study aimed to investigate the effects of ginger () on growth, digestive enzymes activity, antioxidant and immune response, and salinity stress resistance of Caspian roach ().

Soil quality assessment of paddy fields (in Northern Iran) with different productivities: establishing the critical limits of minimum data set indicators.

The aim of this study was to assess soil quality and identify main indicators and their critical limits as a function of relative rice yield in northern Iran. In present study, 60 topsoil (0-30 cm) samples were collected and 18 physical, chemical, and biological soil attributes were measured and analyzed. Based on the mean rice yield obtained from sampling sites, paddy fields were divided into fields with low ([Formula: see text] 4.

Segmentation and tracking of lung nodules via graph-cuts incorporating shape prior and motion from 4D CT.

Purpose: We have developed a robust tool for performing volumetric and temporal analysis of nodules from respiratory gated four-dimensional (4D) CT. The method could prove useful in IMRT of lung cancer.

Methods: We modified the conventional graph-cuts method by adding an adaptive shape prior as well as motion information within a signed distance function representation to permit more accurate and automated segmentation and tracking of lung nodules in 4D CT data.

Incorporating shape prior into active contours with a sparse linear combination of training shapes: application to corpus callosum segmentation.

In this paper, a novel method of embedding shape information into level set image segmentation is proposed. Our method is based on inferring shape variations by a sparse linear combination of instances in the shape repository. Given a sufficient number of training shapes with variations, a new shape can be approximated by a linear span of training shapes associated with those variations.

4D lung tumor segmentation via shape prior and motion cues.

Lung tumor segmentation is important for therapy in the radiation treatment of patients with thoracic malignancies. In this paper, we describe a 4D image segmentation method based on graph-cuts optimization, shape prior and optical flow. Due to small size, the location, and low contrast between the tumor and the surrounding tissue, tumor segmentation in 3D+t is challenging.