Sleep Stage Classification Using a Pre-trained Deep Learning Model

One of the common human diseases is sleep disorders. The classification of sleep stages plays a fundamental role in diagnosing sleep disorders, monitoring treatment effectiveness, and understanding the relationship between sleep stages and various health conditions. A precise and efficient classification of these stages can significantly enhance our understanding of sleep-related phenomena and ultimately lead to improved health outcomes and disease treatment. Models others propose are often time-consuming and lack sufficient accuracy, especially in stage N1. The main objective of this research is to present a machine-learning model called "EEGMobile". This model utilizes pre-trained models and learns from electroencephalogram (EEG) spectrograms of brain signals. The model achieved an accuracy of 86.97% on a publicly available dataset named "Sleep-EDF20", outperforming other models proposed by different researchers. Moreover, it recorded an accuracy of 56.4% in stage N1, which is better than other models. These findings demonstrate that this model has the potential to achieve better results for the treatment of this disease.Comment: 7 pages, 5 figures, 1 tabl

Study of the sensor response of spun metal phthalocyanine films to volatile organic vapors using surface plasmon resonance

tIn this work, thin films of chloroaluminium phthalocyanine (ClAlPc), fluoroaluminium phthalocyanine(FAlPc) and fluorochromium phthalocyanine (FCrPc), which are insoluble in conventional solvents, weredeposited by spin coating of their solutions in trifluoroacetic acid. The sensing response of these filmsversus acetic acid, three alcohols (methanol, ethanol, butanol) and three amines (methylamine, dimethy-lamine, trimethylamine) have been investigated using surface plasmon resonance as the sensing method.It has been shown that the sensor response of the investigated films decreases in the following order:acetic acid > alcohols > amines. The optical changes as monitored by SPR method have been used in con-junction with Fick’s second law of diffusion to determine the diffusion coefficients of analyte vapor duringthe films’ swelling process. The obtained results showed that the diffusion coefficients and the swellingcharacteristics of the films are dependent on the functional group of the phthalocyanine molecule andthe molecular size of the analyte

Effect of fluorosubstitution on the structure of single crystals, Effect of fluorosubstitution on the structure of single crystals,thin films and spectral properties of palladium phthalocyanines

In this work, the crystalline structure of single crystals grown by vacuum sublimation of unsubstituted palladium phthalocyanines (PdPc), its tetrafluorinated (PdPcF4) and hexadecafluorinated (PdPcF16) derivatives have been investigated using X-ray diffraction measurements. Two crystalline phases have been identified for PdPc; the molecules in both phases crystallize in stacks with herringbone arrangement in the monoclinic space groups (C2/c for -PdPc; P21/n for -PdPc). Both PdPcF4 and PdPcF16 crystallize in the triclinic P-1 space group, forming stacks of molecules in columnar arrangement with molecules in adjacent columns are aligned parallel to one another. X-ray diffraction measurements have also been used to elucidate the structural features and molecular orientation of thin films of PdPc, PdPcF4 and PdPcF16, grown by organic molecular beam deposition at different substrate temperatures. The effect of fluorosubstitution on UV-visible optical absorption and vibrational spectra of palladium phthalocyanine derivatives is also discussed

Investigting the effects of some physical and cultural methods on the population of bulb mite (Rhizoglyphus robini) and yield of saffron (.Crocus sativus L)

In this research, the effects of solarization by transparent plastics, planting time and the first irrigation after planting on the populations of saffron bulb mite (Rhizoglyphus robini) and yield (Crocus sativus L.) were investigated. A split plot experiment was conducted based on randomized complete block design with three replicates from 2011 to 2015 in Gonabad, Khorasan Razavi province. Solarization and non-solarization factors were placed in the main plots. Seven crop managing packages including 1- planting without irrigation in September, 2- irrigation immediately after planting in September, 3- planting without irrigation in June, 4- irrigation immediately after planting in June, 5- planting in June and irrigation in August, 6- planting without irrigation in September of the next year, and 7- irrigation immediately after planting in September of the next year were placed in sub-plots. The results showed that regardless of management package, solarization suppressed the mite populations and increased saffron yield. Package 4, Irrigation immediately after planting on June, increased the mite populations and decreased saffron yields. However, package 2, irrigation on September, reduces the mite populations and increases saffron yield. Planting Saffron in June (packages 3, 4, and 5) resulted in more yield compared to Planting at September (packages 1, 2, 6, and 7). The lowest reduction in the population of mites (94%) and the highest yield (77%) were achieved through solarization and by implementing package 3, treatment and cultivation in June of the next year with no irrigation after planting

Determination of the Antimicrobial Effects of Hydro-Alcoholic Extract of Cannabis Sativa on Multiple Drug Resistant Bacteria Isolated from Nosocomial Infections

Background: The science of identification and employment of medicinal plants dates back to the early days of man on earth. Cannabis (hashish) is the most common illegal substance used in the United States and was subjected to extensive research as a powerful local disinfecting agent for mouth cavity and skin and an anti-tubercular agent in 1950. Methods: Clinical strains were isolated from hospitalized patients in Vali-e-Asr Hospital of Arak. The hydro-alcoholic extract of cannabis (5 g) was prepared following liquid-liquid method and drying in 45˚C. The antimicrobial properties of the extract were determined through disk diffusion and determination of MIC (Minimum Inhibitory Concentration). Results: First, the sensitivity of bacteria was detected based on disk diffusion method and the zone of inhibition was obtained for MRSA (12 mm), S.aureus 25923 (14 mm), E. coli ESBL+: (10 mm), and Klebsiella pneumoniae (7 mm). Disk diffusion for Pseudomonas and Acinetobacter demonstrated no inhibitory zones. Through Broth dilution method, MIC of cannabis extract on the bacteria was determined: E.coli 25922: 50µg/ml, E.coli ESBL+:100 µg/ml, S.aureus 25923:25 µg/ml, MRSA: 50 µg/ml, Pseudomona aeroginosaESBL+> 100 µg/ml, Pseudomonas: 100 µg/ml, Klebsiella pneumoniae: 100 µg/ml, and Acinetobacter baumannii> 1000. Conclusion: The maximum anti-microbial effect of the hydro-alcoholic extract of cannabis was seen for gram positive cocci, especially S. aureus, whereas non-fermentative gram negatives presented resistance to the extract. This extract had intermediate effect on Enterobacteriacae family. Cannabis components extracted through chemical analysis can perhaps be effective in treatment of nosocomial infections

Controlling Differentiation of Stem Cells for Developing Personalized Organ-on-Chip Platforms

Organ-on-chip (OOC) platforms have attracted attentions of pharmaceutical companies as powerful tools for screening of existing drugs and development of new drug candidates. OOCs have primarily used human cell lines or primary cells to develop biomimetic tissue models. However, the ability of human stem cells in unlimited self-renewal and differentiation into multiple lineages has made them attractive for OOCs. The microfluidic technology has enabled precise control of stem cell differentiation using soluble factors, biophysical cues, and electromagnetic signals. This study discusses different tissue- and organ-on-chip platforms (i.e., skin, brain, blood-brain barrier, bone marrow, heart, liver, lung, tumor, and vascular), with an emphasis on the critical role of stem cells in the synthesis of complex tissues. This study further recaps the design, fabrication, high-throughput performance, and improved functionality of stem-cell-based OOCs, technical challenges, obstacles against implementing their potential applications, and future perspectives related to different experimental platforms