Volume 9 | Issue 3 |

 Abstract

Depression is mental health disorder; it can be severe and life threatening which affect the life style and happiness. Depression always been a focus of attention of researchers. Mainly stress and anxiety are responsible for depression. In January 2020, outburst of corona virus has declared by the World Health Organisation (WHO). Government put down stringent action in March 2020 to control spread of corona virus by enforcing social distancing, restrictions of movement and complete lockdown. Since, the individuals are experience psychological distress. Fear and stress are either of them which severely affect mental health of person. Theses review paper mainly focuses on Depression and impact of pandemic. Various impacts are studied by small scale survey.

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 Keywords

Stress, Anxiety, Depression, COVID-19, Burnout, Risk factors, social distancing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???????????? ?????? ?? ??????? ???? ??? ????? ???????? ?? ??? ??? ???? ?? ?????? ?? ?????? ?? ??????? ?? ??? ??? ????, ???? ?????????????? ?????? ?? ??? ?? ???? ???? ??? ?? 1945 ?? ??????? ?? ?????? ?????? ??? ????? ?? ?? ????? ???? ???; ??? ???? ??????????? ?????? ????? ???????????? ?????? ?? ???? ????? ??????? ?????? ??, ????? ???? ?? ???? ??? ?? ???? ????? ????? ?? ?????? ?????????? ?? ?????? ?? ??? ????????? ?? ?????? ??????? ?????? ????? ???????????? ?????? ?? ?????? ??? ??? ?? ?? ?? ?? ?? ??????? ??? ?????? ?? ?????? ?? ??? ??????? ?????? ????? ???? ???? ??; ????? ?? ?????????? ?????? ??? ?????? ?? ?????? ?? ??? ????? ?????? ?? ??? ?????? ???????? ?? ?????? ???? ???? ???? ??? ???????????? ?????? ?? ????????? ?? ??? ???? ?? ???? ????? ???? ????? ????? ????? ?? ??? ?? ?? ????? ???? ???? ??????? ?? ?????? ??????? ?? ?????????????? ??? ?? ??????? ?? ??? ???? ??? ?? ??? ?? ???? ??????? ????? ?? ?????? ?? ???? ??? ??? ???? ?????????? ?????? ????? ?? ??? ??? ?? ?????? ??? ?? ?? ???? ????? ???? ?? ???? ??? ???????????? ??????? ?? ?????? ???? ???? ???????? ?? ???? ?????? ???????? ???????? ???? ??? ??????? ?? ?????? ?????? ????????? ???? ??? ????? ????-???? ???? ??, ????? ???? ???????? ???? ???? ??? ????? ?????? ???? ????? ?? ?????? ???? ?? ?? ?? ??????? ??? ???????? ?? ?????? ????? ???? ???

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?? ?????????, ???? ???, ???????? ??????, ??? ??????, ?????????, ????????, ???????, ??????????, ???????????

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RISK, CLOUD COMPUTING, RISK SOCIETY, COVID-19

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Creative Commons Attribution 4.0 and The Open Definition

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The morality plays have a long history in literature beginning with the fifteenth century and lasting the whole of the sixteenth century. The fundamental issue of the morality play is always the same, and it is by definition a serious one. The dramatic thrust of the morality play was towards a slapstick in order to demonstrate human frivolity. The present study aims to prove how Christopher Marlowe, the intellectual playwright of the Elizabethan age, portrayed the conflict between good and evil in his morality play Doctor Faustus. He uses in the play eminently fits in to the morality form, for the necromancer, Faust, who sells his soul to devil for worldly pleasures, effectively illustrates the human damnation in the morality plays. The morality structure of the play minus the morality kind of a submissive hero but one with an individualistic conceit builds up the tragedy of Faustus.

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Slapstick, Necromancy, Damnation, Interlude, Sybaritic, Soliloquy, Repentance , Diabolic

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Creative Commons Attribution 4.0 and The Open Definition

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The important objective of this system is to provide an accurate prediction of disease like Pneumonia, Fungal Infection, AIDS, Migraine, Jaundice, Common Cold, Heart Attack, Acne, COVID-19, etc. This system will also give the regular check-up report of the user. As the doctor may not be available always when needed, but in the modern time scenario, according to necessity one can always use this prediction and regular check-up system anytime. The healthcare industry produces large amounts of healthcare data daily that can be used to extract information for predicting disease that can happen to a user in future while using the treatment history and health data. The symptoms of the individual along with the current images of them are given to the ML and DL model to further process. After preliminary processing of the data collected, the ML model uses the current input, trains and tests the algorithm resulting in the predicted disease. The current images are taken for the regular health care check-up and here the user is not expected to give the symptoms because the regular check-up will be purely based on the current scenario of the user. The inputs are then used by the ML model which trains and tests with the algorithm resulting in the health check-up graph.

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Machine Learning, Deep Learning, Random Forest, CNN, Region of Interest

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Creative Commons Attribution 4.0 and The Open Definition

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Blood is one of the most important biological traces that are often found on the crime scene. Due to valuable information it contains, it is considered to be a very important forensic tool. Analysis of different aspects of bloodstains can contribute to clarify the circumstances under which some violent crimes have been committed. Such crucial information can point criminal investigation in the right direction and help solve the crime. In some cases it can also help with legal determination of criminal offense which can lead to more accurate and more appropriate punishment for the perpetrator. It is very important to determine the sequence of events during the commitment of a violent crime involving blood

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Creative Commons Attribution 4.0 and The Open Definition

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blood, admission, investigation, crime scene

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Creative Commons Attribution 4.0 and The Open Definition

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: In number of proposed DARK sector models, Dark-photons (??) are hypothetical constituents. In these, we can consider those models which are experimentally verifiable. Among them Dark U (1)F models predicts that Higgs boson couples to a Photon and a Dark Photon (H????)with a branching fraction of 0.5%at LHC energies. These Dark Photons do not give any signals in the detectors, as they are not detectable. Therefore at LHC, one plausible signal of these events is a monochromatic photon with E? is (mH /2) and missing energy of equivalent amount. We have implemented Forward EM Calorimeter (FoCAL) in ALICE detector at LHC using GEANT code in AliRoot Frame work [1]. FoCAL will be utilized to detect the isolated Photons (?) and various other ALICE detector components will be utilized to detect Missing Transverse Energy, to detect Dark Photons.

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Creative Commons Attribution 4.0 and The Open Definition

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Dark Photons, LHC, Forward EM Calorimeter (FoCAL), ALICE Detector, GEANT, AliRoot Framework

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Creative Commons Attribution 4.0 and The Open Definition

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High rate of growth and easy availability of water hyacinth has made it as vibrant renewable natural carbon source for biofuel production. The present study was undertaken to screen the possibility of using water hyacinth as a substrate for bioethanol production by microbial fermentation using monocultures of Phanerochaete chrysosporium, Fusarium oxysporum individually and co-cultures of both strains with Pichia stipitis. Water hyacinth has high content of cellulose, hemi-cellulose, lignin and starch at levels of 18.20%, 48.70%, 3.5% and 1.85% (w/w), respectively. Direct fermentation of water hyacinth was carried out in submerged state employing the pure cultures of the spore suspensions of the fungi Phanerochaete chrysosporium and Fusarium oxysporum in separate experiments. The mixed fermentation started as a single process with a pure culture of Phanerochaete chrysosporium or Fusarium oxysporum with Pichia stipitis added at different times of fermentation. Direct fermentation of water hyacinth biomass by pure cultures of P. chrysosporium and F. oxysporum produced 12.1 g L-1 and 10.95 g L-1 ethanol respectively after 60 h fermentation. Simultaneous co-culturing of both P. chrysosporium and F. oxysporum with Pichia stipitis resulted in a higher ethanol production (20.17 g L-1, 17.48 g L-1 respectively) after 60 h fermentation when compared to monoculture fermentation. Higher ethanol production was attained in the mixed culture system containing Phanerochaete chrysosporium and Pichia stipitis.

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Creative Commons Attribution 4.0 and The Open Definition

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Water hyacinth biomass (WHB), Ethanol, Phanerochaete chrysosporium, Fusarium oxysporum and Pichia stipitis

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Chronic diseases like COPD compared with RA and DM, because COPD patients are characterised by air-flow obstruction, hyperinflation and reduced diffusion capacity, reduced peripheral and respiratory muscle forces and significant reduction in exercise capacity. Hence such severe chronic COPD patients were compared in RA and DM. Method: Equal number of RA = 27, DM=27 and COPD=27 patients were compared with healthy (controlled) group=80 (eighty). Their Base-line features, physical activity, ED-SD Index after discharged from ICU/hospital since last one year. Mental status also compared in all three groups and controlled groups with percentage. Results: Highest physical activity seen 19.2 (±1.9) in DM, low level 9.2 (±2.1) in COPD, ED-SD Index value was least 0.60 (±0.25) in COPD, highly index 0.70 (±0.25) in DM, Mobility problem, self care deficiency pain/discomfort were higher in COPD. Conclusion: This pragmatic comparative study of chronic disease like COPD is compared with RA and DM and severity of disease observed in COPD which is significantly involved in respiratory distress create multiple problems like anxiety, physical exercise, discomfort need to be treated with more meticulously to avoid morbidity and mortality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COPD, RA, DM, ED-SD Index, GHQ-12

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Creative Commons Attribution 4.0 and The Open Definition