Design and Analysis of Fluidized Bed Gasifier for Chicken Litter along with Agro Wastes

Abstrac

A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques

Vision Studio aims to utilize a diverse range of modern deep learning and computer vision principles and techniques to provide a broad array of functionalities in image and video processing. Deep learning is a distinct class of machine learning algorithms that utilize multiple layers to gradually extract more advanced features from raw input. This is beneficial when using a matrix as input for pixels in a photo or frames in a video. Computer vision is a field of artificial intelligence that teaches computers to interpret and comprehend the visual domain. The main functions implemented include deepfake creation, digital ageing (de-ageing), image animation, and deepfake detection. Deepfake creation allows users to utilize deep learning methods, particularly autoencoders, to overlay source images onto a target video. This creates a video of the source person imitating or saying things that the target person does. Digital aging utilizes generative adversarial networks (GANs) to digitally simulate the aging process of an individual. Image animation utilizes first-order motion models to create highly realistic animations from a source image and driving video. Deepfake detection is achieved by using advanced and highly efficient convolutional neural networks (CNNs), primarily employing the EfficientNet family of models

Triprolidinium dichloranilate–chloranilic acid–methanol–water (2/1/2/2)

In the triprolidinium cation of the title compound {systematic name: 2-[1-(4-methyl­phen­yl)-3-(pyrrolidin-1-ium-1-yl)prop-1-en-1-yl]pyridin-1-ium bis­(2,5-dichloro-4-hy­droxy-3,6-dioxo­cyclo­hexa-1,4-dien-1-olate)–2,5-dichloro-3,6-dihy­droxy­cyclo­hexa-2,5-diene-1,4-dione–methanol–water (2/1/2/2)}, C19H24N2 2+·2C6HCl2O4 −·0.5C6H2Cl2O4·CH3OH·H2O, the N atoms on both the pyrrolidine and pyridine groups are protonated. The neutral chloranilic acid mol­ecule is on an inversion symmetry element and its hy­droxy H atoms are disordered over two positions with site-occupancy factors of 0.53 (6) and 0.47 (6). The methanol solvent mol­ecule is disordered over two positions in a 0.836 (4):0.164 (4) ratio. In the crystal, N—H⋯O, O—H⋯O and C—H⋯O inter­actions link the components. The crystal structure also features π–π inter­actions between the benzene rings [centroid–centroid distances = 3.5674 (15), 3.5225 (15) and 3.6347 (15) Å]

4-(4-Chloro­phen­yl)-4-hy­droxy­piperidinium benzoate

In the title salt, C11H15ClNO+·C7H5O2 −, the dihedral angle between the mean planes of the chloro­phenyl ring of the cation and the benzene ring of the anion is 74.4 (1)°. In the cation, the six-membered piperazine ring adopts a chair conformation. The crystal packing is stabilized by inter­molecular N—H⋯O and O—H⋯O hydrogen bonds, and weak inter­molecular C—H⋯O, C—H⋯Cl and C—H⋯π inter­actions

N,N-Dimethyl-3-oxo-3-(thio­phen-2-yl)propanaminium chloride

In the title mol­ecular salt, C9H14NOS+·Cl−, the crystal packing is stabilized by weak inter­molecular N—H⋯Cl, C—H⋯Cl and C—H⋯π inter­actions, which lead to the formation of a two-dimensional supra­molecular layer which stacks along the b axis

Transverse energy production and charged-particle multiplicity at midrapidity in various systems from sNN=7.7\sqrt{s_{NN}}=7.7 to 200 GeV

Measurements of midrapidity charged particle multiplicity distributions, $dN_{\rm ch}/d\eta$, and midrapidity transverse-energy distributions, $dE_T/d\eta$, are presented for a variety of collision systems and energies. Included are distributions for Au$+$Au collisions at $\sqrt{s_{_{NN}}}=200$, 130, 62.4, 39, 27, 19.6, 14.5, and 7.7 GeV, Cu$+$Cu collisions at $\sqrt{s_{_{NN}}}=200$ and 62.4 GeV, Cu$+$Au collisions at $\sqrt{s_{_{NN}}}=200$ GeV, U$+$U collisions at $\sqrt{s_{_{NN}}}=193$ GeV, $d$$+$Au collisions at $\sqrt{s_{_{NN}}}=200$ GeV, $^{3}$He$+$Au collisions at $\sqrt{s_{_{NN}}}=200$ GeV, and $p$$+$$p$ collisions at $\sqrt{s_{_{NN}}}=200$ GeV. Centrality-dependent distributions at midrapidity are presented in terms of the number of nucleon participants, $N_{\rm part}$, and the number of constituent quark participants, $N_{q{\rm p}}$. For all $A$$+$$A$ collisions down to $\sqrt{s_{_{NN}}}=7.7$ GeV, it is observed that the midrapidity data are better described by scaling with $N_{q{\rm p}}$ than scaling with $N_{\rm part}$. Also presented are estimates of the Bjorken energy density, $\varepsilon_{\rm BJ}$, and the ratio of $dE_T/d\eta$ to $dN_{\rm ch}/d\eta$, the latter of which is seen to be constant as a function of centrality for all systems.Comment: 706 authors, 32 pages, 20 figures, 34 tables, 2004, 2005, 2008, 2010, 2011, and 2012 data. v2 is version accepted for publication in Phys. Rev.

ϕ\phi meson production in dd++Au collisions at sNN=200\sqrt{s_{_{NN}}}=200 GeV

The PHENIX experiment has measured $\phi$ meson production in $d$$+$Au collisions at $\sqrt{s_{_{NN}}}=200$ GeV using the dimuon and dielectron decay channels. The $\phi$ meson is measured in the forward (backward) $d$-going (Au-going) direction, $1.2<y<2.2$ ($-2.2<y<-1.2$) in the transverse-momentum ($p_T$) range from 1--7 GeV/$c$, and at midrapidity $|y|<0.35$ in the $p_T$ range below 7 GeV/$c$. The $\phi$ meson invariant yields and nuclear-modification factors as a function of $p_T$, rapidity, and centrality are reported. An enhancement of $\phi$ meson production is observed in the Au-going direction, while suppression is seen in the $d$-going direction, and no modification is observed at midrapidity relative to the yield in $p$$+$$p$ collisions scaled by the number of binary collisions. Similar behavior was previously observed for inclusive charged hadrons and open heavy flavor indicating similar cold-nuclear-matter effects.Comment: 484 authors, 16 pages, 12 figures, 6 tables. v1 is the version accepted for publication in Phys. Rev. C. Data tables for the points plotted in the figures are given in the paper itsel