Analysis of Subthreshold Swing of Symmetric Junctionless Double Gate MOSFET Using Gaussian Doping Profile

—The variation of subthreshold swing(SS) according to the projected range (Rp ) and standard projected deviation (σp ) was analyzed when the symmetrical junctionless double gate (JLDG) MOSFET was doped with Gaussian doping profile. For this purpose, the analytical SS model was presented. We compared with the TCAD results to turn out the validity of this model, and the SSs of this model agreed with those of TCAD. The effective conduction path and mean doping concentration affecting the SS were analyzed according to the Rp and σp . As a result, the SS increased as the Rp and σp increased simultaneously. The smaller the Rp and the larger the σp , the lower the SS. When Rp = 1.5 nm, it showed the SS below 100mV/dec without being affected by the change of σp or silicon thickness. When σp = 3nm, it was also 100mV/dec or less regardless of the change of Rp and silicon thickness. Keywords— Double gate, Junctionless, Subthreshold swing, Gaussian, Projected range, Standard projected deviation

Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health

Global changes in response to human encroachment into natural habitats and carbon emissions are driving the biodiversity extinction crisis and increasing disease emergence risk. Host distributions are one critical component to identify areas at risk of spillover, and bats act as reservoirs of diverse viruses. We developed a reproducible ecological niche modelling pipeline for bat hosts of SARS-like viruses (subgenus Sarbecovirus), given that since SARS-CoV-2 emergence several closely-related viruses have been discovered and sarbecovirus-host interactions have gained attention. We assess sampling biases and model bats' current distributions based on climate and landscape relationships and project future scenarios. The most important predictors of species distribution were temperature seasonality and cave availability. We identified concentrated host hotspots in Myanmar and projected range contractions for most species by 2100. Our projections indicate hotspots will shift east in Southeast Asia in >2 °C hotter locations in a fossil-fueled development future. Hotspot shifts have implications for conservation and public health, as loss of population connectivity can lead to local extinctions, and remaining hotspots may concentrate near human populations.

Novel Cu/Zn Reinforced Polymer Composites: Experimental Characterization for Radiation Protection Efficiency (RPE) and Shielding Properties for Alpha, Proton, Neutron, and Gamma Radiations

In this study, brass (Cu/Zn) reinforced polymer composites with different proportions of brass powders were fabricated. Different types of nuclear shielding parameters such as mass and linear attenuation coefficients, radiation protection efficiency, half and tenth value layers, and effective atomic number values were determined experimentally and theoretically in the energy range of 0.060–1.408 MeV in terms of gamma-ray shielding capabilities of fabricated polymer composites. A high Purity Germanium detector (HPGe) in conjunction with a Multi-Channel Analyzer (MCA) and twenty-two characteristic gamma-ray energies have been used in the experimental phase. In addition, the exposure and energy absorption buildup factors of reinforced Cu/Zn composites were calculated, and relative dose distribution values were computed to verify them. Proton mass stopping power (YP), proton projected range (FP), alpha mass stopping power (YA), and alpha projected range (FA) parameters, which indicate the interactions of the produced composites with charged particle radiation, were investigated. Fast neutron removal cross-section (ΣR) results were determined to give an idea in terms of neutron shielding. According to the obtained results, it is reported that the CuZn20 coded sample’s ability to attenuate gamma-ray and charged particle radiation is more efficient than that of other prepared composites. A CuZn05 coded sample was found to be more suitable for neutron shielding capability.

Radiation tolerance of nanostructured TiCrN coatings

Nanostructured TixCr1–xN coatings of various compositions 0.58 ≤ x ≤ 0.8 on the substrates made of AISI 304 stainless steel and monocrystalline silicon were formed by the method of separable vacuum-arc deposition. The elemental composition was studied by Rutherford backscattering spectrometry of helium ions. The structural-phase state and the morphology were examined by X-ray diffraction, optical and scanning electron microscopy, tribomechanical tests of the initial coatings were also carried out. The radiation tolerance of the nanostructured TixCr1–xN coatings within 0.58 ≤ x ≤ 0.8 under He+ ion irradiation with an energy of 500 keV in the fluence range of 5·1016–3·1017 ions/cm2 was studied for the first time. It was found that the TixCr1–xN coatings within 0.58 ≤ x ≤ 0.8 withstand irradiation without significant changes in the structure up to a fluence of 2·1017 ions/cm2, when a partial coating flaking (exfoliation) up to a depth of the projected range of helium ions takes place. A decrease in the average size of crystallites of coatings and the crystal lattice period reduction after radiation exposure were detected. The decrease in the microhardness of the TixCr1–xN coatings of all compositions after irradiation was found.

Pupils returning to primary schools in England during 2020: rapid estimations of punctual COVID-19 infection rates

Drawing on risk methods from volcano crises, we developed a rapid COVID-19 infection model for the partial return of pupils to primary schools in England in June and July 2020, and a full return in September 2020. The model handles uncertainties in key parameters, using a stochastic re-sampling technique, allowing us to evaluate infection levels as a function of COVID-19 prevalence and projected pupil and staff headcounts. Assuming average national adult prevalence, for the first scenario (as at 1 June 2020) we found that between 178 and 924 [90% CI] schools would have at least one infected individual, out of 16 769 primary schools in total. For the second return (July), our estimate ranged between 336 (2%) and 1873 (11%) infected schools. For a full return in September 2020, our projected range was 661 (4%) to 3310 (20%) infected schools, assuming the same prevalence as for 5 June. If national prevalence fell to one-quarter of that, the projected September range would decrease to between 381 (2%) and 900 (5%) schools but would increase to between 2131 (13%) and 9743 (58%) schools if prevalence increased to 4× June level. When regional variations in prevalence and school size distribution were included in the model, a slight decrease in the projected number of infected schools was indicated, but uncertainty on estimates increased markedly. The latter model variant indicated that 82% of infected schools would be in areas where prevalence exceeded the national average and the probability of multiple infected persons in a school would be higher in such areas. Post hoc , our model projections for 1 September 2020 were seen to have been realistic and reasonable (in terms of related uncertainties) when data on schools' infections were released by official agencies following the start of the 2020/2021 academic year.

Robust modelling to address UPH19 to predict future hydrological responses for water resources adaptation under climate change

<p>This paper addresses the implications of UPH19 in extrapolating hydrological models to predict the future and assessing water resources adaptation to climate change. Many studies have now shown that traditional application of hydrological models calibrated against past observations will underestimate the range in the projected future hydrological impact, that is, it will underestimate the decline in runoff where a runoff decrease is projected, and underestimate the increase in runoff where a runoff increase is projected. This study opportunistically uses data from south-eastern Australia which recently experienced a long and severe drought lasting more than ten years and subsequent partial hydrological recovery from the drought. The paper shows that a more robust calibration of rainfall-runoff models to produce good calibration metrics in both the dry periods and wet periods, at the expense of the best calibration over the entire data period, can produce a more accurate estimate of the uncertainty in the projected future runoff, but cannot entirely eliminate the modelling limitation of underestimating the projected range in future runoff. This is because of the need to consider trade-offs between the calibration objectives, particularly in simulating the dry periods, versus enhanced bias that results from the consideration. Hydrological models must therefore also need to be adapted to reflect the non-stationary nature of catchment and vegetation responses in a changing climate under warmer conditions, higher CO<sub>2</sub> and changed precipitation patterns. This is an active area of research in UPH19, and some ideas relevant to this region will be presented.</p>

Health Humanities: Dealing with Depression and the Power of Books to help sustain the Journey- Reviews & Inferences

Clinically, Depression can be defined as, “A mental health disorder characterised by persistently depressed mood or loss of interest in activities, causing significant impairment in daily life.” The causes may vary from biological, psychological, environmental to lifestyle reasons. The complex interactions between all the above mentioned factors can lead to depression. Life style alterations like loss of a loved one,personal habits etc., can also trigger depression. Psychological and pharmacological remedies exist for different stratas of depression, However, In countries like India there is very less awareness in the view of it. People in the villages still lack the awarenss and blame it on witchcraft or the inhabiting of bad spirits. Inlow- and middle-income families treatment and support services for depression are often inattentive or below advanced. An projected range of 76–85% of people suffer from mental disorders in countries that lack access to the treatment they need. On a clinical angle, there are plenty of perspectives to deal with it depending on the harshness of the finding. It first needs to be understood as a disease that could be cured leading to the aplenty treatment methodologies, though the role of books that deal with depression, and a healthy way out is less comparatively. This research article deals with this particular branch of health humanities and analyses some of the books that could be powerful curatives in dealing with depression. It tries to identify the importance of reading these books and tries to bring an alternative method of dealing with depression on the whole.

Intentional and Unintentional Channeling during Implantation of p-Dopants in 4H-SiC

Channeling phenomena during ion implantation have been studied for 50 keV 11B, 100 keV 27Al and 240 keV 71Ga in 4H-SiC by secondary ion mass spectrometry and medium energy ion backscattering. The same projected range are expected for the used energies while the channeling tails are shown to be substantially different, for example, channeled 71Ga ions may travel 5 times as deep as 11B. Ion implantation has been performed both at room temperature (RT) and 400 °C, where channeling effects are reduced for the 400 °C implantation compared to that of the RT due to thermal vibrations of lattice atoms. The temperature effect is pronounced for 71Ga but nearly negligible for 11B at the used energies. The channeling phenomena are explained by three-dimensional Monte Carlo simulations. For standard implantations, i.e. 4° off the c-direction, it is found that a direction in-between the [000-1] and the <11-2-3> crystal channels, results in deep channeling tails where the implanted ions follow the [000-1] and the <11-2-3> directions.