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The rapid development of intelligent systems has had a significant impact on healthcare, forensics, and medicine, offering innovative solutions to critical problems. Breast cancer, which affects a large number of women each year, requires effective methods for early detection and accurate diagnosis to improve patient outcomes. This study introduces a hybrid feature selection method based on genetic algorithm (GA) and Bucket of Models (BoM) approach to improve breast cancer detection and classification. In the proposed method, GA is used to identify the most relevant features from the breast cancer diagnosis data, to improve the efficiency of the classification process. BoM is then used to select the optimal classification model from a set of candidates, to further improve the accuracy of diagnosis. The support vector machine (SVM) is used as the primary classifier due to its robustness in classifying medical data. The GA feature selection process includes encoding chromosomes, initializing the population, evaluating fitness, and iterating through reproduction steps, that systematically evaluate and select the most informative features for breast cancer diagnosis. In this study, a breast cancer detection accuracy of 97.16 % was achieved, which is a superior performance compared to existing state-of-the-art methods. This study contributes to the development of more accurate and efficient breast cancer screening tools to help healthcare providers make informed diagnostic decisions.

Aflatoxin contamination in food commodities is a major food safety concern all over the world. These aflatoxins are a group of carcinogenic secondary metabolites produced by some fungi belonging to Aspergillus section Flavi. To minimize the level of aflatoxins in food commodities, a wide range of pre- and post-harvest procedures have been employed. In this study, aqueous extracts of 13 medicinal herbs were assessed for their ability to detoxify aflatoxin B1 (AFB1), the most potent and commonly occurring carcinogen in foods. Among them, herbal extracts of Hybanthus enneaspermus, Eclipta prostrata and Centella asiatica exhibited over 70% detoxification of AFB1. The degradation of AFB1 upon treatment with these herbal extracts was confirmed by liquid chromatography–mass spectrometry analysis. Two fractions (Rf 0.75 and 0.87) purified from H. enneaspermus by using thin-layer chromatography displayed in vitro AFB1-detoxifying properties. Gas chromatography–mass spectrometry analysis of the active fractions revealed the presence of linalool and bornyl acetate as the major components suggesting possible involvement of volatile compounds of H. enneaspermus in the detoxification of AFB1. To our knowledge, this is the first report on the detoxification of AFB1 by H. enneaspermus, E. prostrata and C. asiatica aqueous extracts.

Estimation of Calcium oxalate by Nucleation assay (Turbidity method): The Spectrophotometric assay was used to determine the inhibitory activity of the extracts on the nucleation of calcium oxalate crystals. 100pl of 50 mM sodium oxalate solutions and 100pl of 4 mM calcium chloride to 0.5ml of human normal urine, both prepared in a buffer containing 0.5ml of 0.05 mM Tris buffer and 0.5ml of 0.15mM NaCl solution at 37°C and pH 6.5, adjusted to volume by adding 1.5ml of distilled water, hence crystallization is initiated. [...]potent docking of the ligand on all sites for the receptor to possibly attach are well prognosticated and docked in HEX. All the compounds have showed NEGATIVE VALUES i.e., each and every compounds have greater affinity towards the receptor. [...]these compounds can be effectively used in regulating the human calcium sensing receptor and among all these compounds, Delphinidin 3-gentiobioside showed a very high energy binding value of -342.67. [...]the in vitro studies have proven to show that the Ethanolic extract of Syzygium cumini Stem bark are very efficient in the treatment of Urolithiasis. [...]the study proves that the extract as well and the isolated compounds of Syzygium cumini can be effectively used to control as well as eliminate the kidney stone formation.

This paper presents a Dynamic Voltage Restorer to mitigate power quality disturbances such as voltage sag, swell and harmonics. The compensation strategy is based on pre-sag compensation. Controller based on dq0 transformation technique and ANN is implemented in order to maintain the nominal load voltage and phase angle. Simulation studies under three phase rectifier with parallel resistive/capacitive dc load as a non linear load is carried out. Also the system is investigated under voltage sag and swells on source side using programmable AC source. Simulation results show that DVR performs accurately in mitigating disturbances with minimum Total Harmonic Distortion. The performance of DVR is verified using Matlab / Simulink Environment.

Binary transition metal chalcogenides and reduced graphene oxide exhibit significant potential for energy storage devices due to their superior electronic conductivity and capacity, surpassing that of single-metal sulfides, owing to their more extensive redox reactions. In this report, we introduce a novel synthesis method for producing a mixed-phase MnSe2/CoSe2 nanocomposite wrapped with reduced graphene oxide (rGO) sheets, designed specifically for supercapacitor applications. The MnSe2/CoSe2 hybrid material was synthesized using an ultrasonic assisted hydrothermal technique, followed by the preparation of the rGO/MnSe2/CoSe2 hybrid composite. The structural characterization was conducted employing x-ray diffraction (XRD), scanning electron microscopy (SEM), x-ray photoelectron spectroscopy (XPS) and Raman techniques. Brunauer–Emmett–Teller (BET) analysis demonstrated a significant specific surface area (66.5 m2/g) and a pore size distribution of 28.4 nm in rGO-MnSe2/CoSe2. The interconnected ultrathin rGO nanosheets and conductive carbon layer contributed to the exceptional conductivity and stability achieved by the rGO/MnSe2/CoSe2 composite electrode. The electrochemical performance was assessed using a three-electrode setup in a 3 M KOH solution, with nickel foam as the current collector. The working electrode, consisting of rGO/MnSe2/CoSe2, acetylene black and PVDF in an 80:15:5 weight ratio, demonstrated specific capacitance of 1214 F g−1 and cycling stability of 88% retention after 5000 cycles at 1 A g−1. An asymmetric supercapacitor, constructed using a tailored electrode composition, achieved energy density of 28.6 Wh kg−1 at 2100 W kg−1 and high power density of 888 W kg−1 at 49.7 Wh kg−1.

ObjectiveTo determine whether a chemokine receptor type 2 antagonist, DMX-200 (repagermanium), in combination with an angiotensin receptor blocker, candesartan, improves clinical outcomes in people with COVID-19.DesignProspective, multicentre, double-blind, placebo-controlled trial.SettingTen acute care hospitals in India.ParticipantsAdults <65 years old intended for hospital admission with moderate/severe COVID-19 disease (respiratory rate ≥24 breaths per minute or oxygen saturation ≤93% on room air).InterventionDMX-200 120 mg two times per day, or placebo, on background of titratable candesartan commencing at 4 mg two times per day, for 28 days.Main outcome measuresThe primary endpoint was COVID-19 disease severity on a modified WHO Clinical Progression Scale (WHO scale) on day 14. Secondary outcomes included the WHO scale at days 28, 60, 90 and 180; intensive care unit (ICU) admission, respiratory failure or death within 28 days; length of hospitalisation; and requirement for ventilatory support or dialysis.ResultsBetween December 2021 and August 2022, 518 people were screened, with 49 randomised to DMX-200 or placebo on a background of candesartan. The study was terminated early due to recruitment barriers, including an external requirement to restrict enrolment to adults <65 years old, contributing to a 91% screen failure rate. The median WHO Clinical Progression Scale (WHO scale) score at day 14 for both groups was 1 (IQR 1–1), indicating most participants were discharged with no limitations on activities by this time. Formal comparison was not performed due to the small sample size. One participant receiving DMX-200 died of COVID-19 disease progression. No participants required ICU admission, ventilation or dialysis. Median length of hospitalisation in both groups was 6 days (IQR 6–7 days). WHO scale scores were similar at 28, 60, 90 and 180 days.ConclusionDue to recruitment barriers, the study was unable to determine whether DMX-200 improves clinical outcomes in people with COVID-19.Trial registration numberClinicalTrials.gov NCT05122182.

High coercivity and saturation magnetization are well-known properties of the hard magnetic material cobalt ferrite (CoFe 2 O 4 ). There are enormous prospects for a variety of biological, electrical, and recording applications due to many of these hard magnetic properties. The studies of Co 0.5 Cu 0.5- x Zn x Fe 2 O 4 ( x  = 0, 0.1, 0.2 and 0.3) samples using thermogravimetric, X-ray diffraction, scanning electron microscopy, and infrared technology are reported in this work. The biggest exothermic peaks were initially observed between 300 and 400 °C, and they were attributed to mass loss from the thermogravimetric breakdown of the nitrate and citrate content. At (111), (220), (311), (222), (400), (422), (551), and (555), X-ray powder diffraction patterns can be seen reflecting (440). It is discovered that the transmission bands fall within the range that was anticipated based on the spectra. The produced compounds are equivalent in terms of morphology and particle size, but they are somewhat aggregated as a result of interactions between magnetic nano-ferrites. Because the porosity decreases with increasing dopant concentration, the coercivity values of the synthesized samples rise with copper content. Each compound's resistance decreases as temperature rises, indicating that all samples exhibit semiconducting characteristics. Graphical abstract

Background: Good postoperative analgesia in cardiac surgical patients helps in early recovery and ambulation. An alternative to parenteral, paravertebral, and thoracic epidural analgesia can be pectoralis nerve (Pecs) block, which is novel, less invasive regional analgesic technique. Aims: We hypothesized that Pecs block would provide superior postoperative analgesia for patients undergoing cardiac surgery through midline sternotomy compared to parenteral analgesia. Materials and Methods: Forty adult patients between the age groups of 25 and 65 years undergoing coronary artery bypass grafting or valve surgeries through midline sternotomy under general anesthesia were enrolled in the study. Patients were randomly allocated into two groups with 20 in each group. Group 1 patients did not receive Pecs block, whereas Group 2 patients received bilateral Pecs block postoperatively. Patients were extubated once they fulfilled extubation criteria. Ventilator duration was recorded. Patients were interrogated for pain by visual analog scale (VAS) scoring at rest and cough. Inspiratory flow rate was assessed using incentive spirometry. Results: Pecs group patients required lesser duration of ventilator support (P < 0.0001) in comparison to control group. Pain scores at rest and cough were significantly low in Pecs group at 0, 3, 6, 12, and 18 h from extubation (P < 0.05). At 24 h, VAS scores were comparable between two groups. Peak inspiratory flow rates were higher in Pecs group as compared to control group at 0, 3, 6, 12, 18, and 24 h (P < 0.05). Thirty-four episodes of rescue analgesia were given in control group, whereas in Pecs group, there were only four episodes of rescue analgesia. Conclusion: Pecs block is technically simple and effective technique and can be used as part of multimodal analgesia in postoperative cardiac surgical patients for better patient comfort and outcome.

Although it is well known that hypoxia incites unleashed cellular inflammation, the mechanisms of exaggerated cellular inflammation in hypoxic conditions are not known. We observed augmented proliferation of hematopoietic stem and progenitor cells (HSPC), precursors of inflammatory leukocytes, in mice under hypoxia. Consistently, a transcriptomic analysis of human HSPC exposed to hypoxic conditions revealed elevated expression of genes involved in progenitor proliferation and differentiation. Additionally, bone marrow cells in mice expressed high amount of vascular endothelial growth factor (VEGF), and HSPC elevated VEGF receptor 1 (VEGFr1) and its target genes in hypoxic conditions. In line with this, VEGFr1 blockade in vivo and in vitro decreased HSPC proliferation and attenuated inflammation. In silico and ChIP experiments demonstrated that HIF-1α binds to the promoter region of VEGFR1 . Correspondingly, HIF1a silencing decreased VEGFr1 expression in HSPC and diminished their proliferation. These results indicate that VEGF signaling in HSPC is an important mediator of their proliferation and differentiation in hypoxia-induced inflammation and represents a potential therapeutic target to prevent aberrant inflammation in hypoxia-associated diseases.