Technology for biohumus production, an alternative to conventional fertilizers for bio agriculture

Composting is the process of decomposition and transformation of solid organic substances by microorganisms (mainly bacteria and fungi) into a stable material, which can be used (depending on characteristics) in agriculture, instead of chemical fertilizers or land improvement works (soil improvement. The composting process consists of two stages: mechanical treatment and decomposition (fermentation). In the case of mechanical treatment, the waste is crushed, homogenized and prepared for biological treatment, fermentation. The fermentation stage consists in three main stages, namely the mesophilic fermentation stage, the thermophilic fermentation stage and the maturation stage of the compost

Aneurisma ventricular izquierdo gigante con intenso contraste espontáneo, sin trombo

Giant left ventricular aneurysm with intense spontaneous contrast but no thrombusAneurisma ventricular izquierdo gigante con intenso contraste espontáneo, sin tromb

Prenatal Diagnosis and Prognosis of Abdominal Arteriovenous Fistulae: A Comprehensive Case Series and Systematic Review

This study had two main objectives. Firstly, we conducted a thorough literature review on the prenatal diagnosis of abdominal congenital arteriovenous fistulas (CAVFs) involving the abdominal aorta and hepatic arteries. Secondly, we aimed to provide detailed descriptions of eight additional cases diagnosed at our medical center and assess the outcome of this anomaly for informed counseling. We conducted a systematic search of online databases using specific keywords like “outcome”, “ultrasound”, “intrahepatic fistulae”, and “fetal venous anomalies”, focusing on studies published between 1998 and 2023. We selected 10 relevant articles and analyzed 13 cases. Additionally, we conducted a five-year prospective study in two referral centers, identifying eight CAVF cases with an incidence rate of 0.16%. Among the 21 cases evaluated, 11 resulted in live births, all of which received treatment. However, four cases (36.3%) had poor postnatal outcomes and neonatal demise due to heart failure. Prenatal signs of poor fetal hemodynamics, including cardiomegaly or hydrops, were observed in 52.3% of cases, regardless of outcome. Our findings highlight the rarity of this vascular malformation and emphasize the importance of effective treatment to avoid unfavorable outcomes. The long-term effectiveness of prenatal treatment or postnatal embolization remains uncertain, with liver transplantation being considered the most reliable treatment option

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

Abstract Background Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurologic and surgery outcomes. Sonographers perform prenatal diagnosis manually during the first or second-trimester scan, but the reported detection rates are low. This project’s primary objective is to develop an Intelligent Decision Support System that uses two-dimensional video files of cardiac sweeps obtained during the standard first-trimester fetal echocardiography (FE) to signal the presence/absence of previously learned key features. Methods The cross-sectional study will be divided into a training part of the machine learning approaches and the testing phase on previously unseen frames and eventually on actual video scans. Pregnant women in their 12–13 + 6 weeks of gestation admitted for routine first-trimester anomaly scan will be consecutively included in a two-year study, depending on the availability of the experienced sonographers in early fetal cardiac imaging involved in this research. The Data Science / IT department (DSIT) will process the key planes identified by the sonographers in the two- dimensional heart cine loop sweeps: four-chamber view, left and right ventricular outflow tracts, three vessels, and trachea view. The frames will be grouped into the classes representing the plane views, and then different state-of-the- art deep-learning (DL) pre-trained algorithms will be tested on the data set. The sonographers will validate all the intermediary findings at the frame level and the meaningfulness of the video labeling. Discussion FE is feasible and efficient during the first trimester. Still, the continuous training process is impaired by the lack of specialists or their limited availability. Therefore, in our study design, the sonographer benefits from a second opinion provided by the developed software, which may be very helpful, especially if a more experienced colleague is unavailable. In addition, the software may be implemented on the ultrasound device so that the process could take place during the live examination. Trial registration The study is registered under the name „Learning deep architectures for the Interpretation of Fetal Echocardiography (LIFE)”, project number 408PED/2020, project code PN-III-P2–2.1-PED-2019. Trial registration: ClinicalTrials.gov , unique identifying number NCT05090306, date of registration 30.10.2020

Large Scale Production of a Nanomaterial-Based Formulation for Horticultural Applications

Worldwide agricultural production is permanently threatened by the numerous fungi and [...

Phytosynthesis of Biological Active Silver Nanoparticles Using Echinacea purpurea L. Extracts

With their phytoconstituents acting as reducing and capping agents, natural extracts can be considered a viable alternative for the obtaining of metallic nanoparticles. The properties of phytosynthesized nanoparticles are dependent upon size and morphology, which, in turn, can be tailored by adjusting different parameters of the phytosynthesis process (such as the extracts’ composition). In the present study, we aimed to evaluate, for the first time in the literature, the influence of the extraction method and extract concentration on the morphological and biological properties (antioxidant and antibacterial activity) of silver nanoparticles phytosynthesized using Echinacea pupurea L. extracts. The obtained results revealed that the use of the low-concentration Echinacea hydro-alcoholic extract obtained via classical temperature extraction led to the development of nanoparticles with the smallest dimensions (less than 10 nm), compared with the use of extracts obtained with higher concentrations and the extract obtained via the microwave method. The developed nanomaterials exhibited enhanced antioxidant effects (determined via the DPPH assay) and antimicrobial properties (against Escherichia coli and Candida albicans), compared with the parent extracts

First Trimester Ultrasound Detection of Fetal Central Nervous System Anomalies

Objective: To evaluate the potential of the first-trimester ultrasound (US) features for the detection of central nervous system (CNS) anomalies. Methods/Methodology: This is a prospective one-center three-year study. Unselected singleton pregnant women were examined using an extended first-trimester anomaly scan (FTAS) that included the CNS assessment: the calvaria shape, the septum (falx cerebri), the aspect of the lateral ventricles, the presence of the third ventricle and aqueduct of Sylvius (AS) and the posterior brain morphometry: the fourth ventricle, namely intracranial translucency (IT), brain stem/brain stem–occipital bone ratio (BS/BSOB) and cisterna magna (CM). The spine and underlying skin were also evaluated. The cases were also followed during the second and third trimesters of pregnancy and at delivery. FTAS efficiency to detect major CNS abnormalities was calculated. Results: We detected 17 cases with CNS major abnormalities in a population of 1943 first-trimester (FT) fetuses, including spina bifida with myelomeningocele, exencephaly-anencephaly, holoprosencephaly, hydrocephaly, cephalocele and Dandy-Walker malformation. The CNS features in the abnormal group are presented. In the second trimester (ST), we further diagnosed cases of corpus callosum agenesis, cerebellar hypoplasia, vein of Galen aneurysm and fetal infection features (ventriculomegaly, intraventricular bands, intraventricular cyst and hyperechoic foci), all declared normal at the FTAS. During the third trimester (TT) scan we identified a massive fetal cerebral haemorrhage absent at previous investigations. We report a detection rate of 72.7% of fetal brain anomalies in the FT using the proposed CNS parameters. The sensitivity of the examination protocol was 72.7%, and the specificity was 100%. Conclusion: A detailed FT CNS scan is feasible and efficient. The majority of cases of major CNS abnormalities can be detected early in pregnancy. The visualization rates of the CNS parameters in the FT are great with short, if any, additional investigation time. FT cerebral disorders such as haemorrhage or infections were missed in the FT even when an extended evaluation protocol was used