A CNN and LSTM-based Model for Creating Captions for Photos

Can a machine interpret an image's meaning with the same speed as the human brain when it is seen? This problem was heavily researched by computer vision specialists, who believed it to be unsolvable until recently. It is now possible to develop models that can generate captions for pictures because of advancements in deep learning techniques, accessibility to large datasets, and processing power. This will be accomplished by the Python-based implementation of the article's deep learning convolutional neural network technique and a particular kind of recurrent neural network. Here the proposed model uses CNN and LSTM methods to achieve desired tas

Sferična kristalizacija zdravilnih učinkovin

Spherical crystallization of drugs is the process of obtaining larger particles by agglomeration during crystallization. The most common techniques used to obtain such particles are spherical agglomeration and quasi-emulsion solvent diffusion. Ammonia diffusion systems and crystallo-co-agglomeration are extensions of these techniques. By controlling process parameters during crystallization, such as temperature, stirring rate, type and amount of solvents, or excipient selection, it is possible to control the formation of agglomerates and obtain spherical particles of the desired size, porosity, or hardness. Researchers have reported that the particles produced have improved micromeritic, physical, and mechanical properties, which make them suitable for direct compression. In some cases, when additional excipients are incorporated during spherical crystallization, biopharmaceutical parameters including the bioavailability of drugs can also be tailored.Sferična kristalizacija je postopek izdelave večjih delcev z aglomeracijo manjših med samo kristalizacijo. Najpogosteje uporabljeni tehniki za izdelavo takšnih delcev sta sferična aglomeracija in kvaziemulzija z difuzijo topila. Sistem z difuzijo amoniaka in kristalo-ko-aglomeracija sta razširitvi teh dveh metod. Z nadzorovanjem procesnih parametrov med kristalizacijo, kot sta temperatura in hitrost mešanja, z izbiro lastnosti in množine topil ter z izbiro pomožnih snovi, lahko vplivamo na nastanek aglomeratov in izdelamo sferične delce želenih velikosti, primerne poroznosti ali trdote. Raziskovalci poročajo, da imajo izdelani delci izboljšane pretočne lastnosti, izboljšane druge fizikalne in mehanske lastnosti zaradi česar so primerni za direktno tabletiranje. V nekaterih primerih lahko ob vgradnji ustreznih pomožnih snovi, ki jih dodamo med procesom sferične kristalizacije, izboljšamo tudi biofarmacevtske lastnosti zdravilnih učinkovin vključno s povečanjem biološke uporabnosti

Identification of superior haplotypes for seed protein content in pigeonpea (Cajanus cajan L.)

Pigeonpea (Cajanus cajan L.) is an important source of quality dietary protein for over a billion people worldwide. The seeds of pigeonpea contain approximately 20–22% digestible protein, which makes it a valuable source of nutrition. Despite this, there has been little attention paid to enhancing the seed protein content (SPC) through genetic means. Recently, high-protein germplasm lines have been discovered in the secondary gene pool, which presents an opportunity to breed for high-protein cultivars. To accelerate the breeding process, genomics-assisted breeding (GAB) can be utilized. In this context, this study identified the superior haplotypes for the genes that control SPC in pigeonpea. Whole-genome re-sequencing (WGRS) data from 344 pigeonpea genotypes were analyzed to identify the superior haplotypes for 57 SPC governing genes. A total of 231 haplotypes in 43 candidate genes were identified, and haplo-pheno analysis was performed to provide superior haplotypes for 10 genes. The identification of superior haplotypes and genotypes will greatly facilitate the development of protein-rich pigeonpea seeds through the application of haplotype-based breeding (HBB)

Evaluation of chelating effect of chitosan as intracanal lubricant and an irrigant on smear layer removal – An in-vitro scanning electron microscope study

Aim: The aim of the study is to evaluate the chelating effect of chitosan as intracanal lubricant and an irrigant on smear layer removal. Objective: The objective of the study is to compare the effectiveness of smear layer removal with chitosan gel and ethylenediaminetetraacetic acid (EDTA) gel as an intracanal lubricant and to evaluate the cumulative outcome of chitosan gel and final rinse on smear layer removal compared to EDTA gel and solution. Materials and Methods: Forty single-rooted extracted human premolars were decoronated to a standard length. Cleaning and shaping were carried out using Mtwo rotary instrument and 3% sodium hypochlorite irrigant. Prepared specimens were divided into four equal groups (n = 10). In first two groups, 17% EDTA gel lubricant was used during instrumentation and final rinsing was carried out with 2 ml saline in one group and 2 ml 17% EDTA solution for 1 min in the other. In other two groups, 0.2% chitosan gel was used as lubricant, and final rinsing was carried out with 2 ml saline in one group and 2 ml 0.2% chitosan solution for 3 min in the other group. All the samples were then longitudinally sectioned which were then evaluated under scanning electron microscope for smear layer removal in three levels, i.e., cervical, middle, and apical third. Statistical Analysis Used: Comparison of mean smear layer scores in the coronal middle and apical thirds of the root canals between four study groups was done using Kruskal–Wallis test followed by Mann–Whitney Post hoc analysis for intergroup comparison with P < 0.05 as statistically significant. Results: In coronal, middle, and apical third sections of root canal, EDTA combination and chitosan combination groups demonstrated statistically significant smear layer removal compared to EDTA gel alone and chitosan gel alone groups. Among the gel groups, chitosan gel has shown a significant smear layer removal ability than EDTA gel. Conclusions: 0.2% chitosan gel lubricant and final rinse solution combination showed comparable smear layer removal as that of 17% EDTA gel lubricant and final rinse. While 0.2% chitosan gel lubricant with saline final rinse showed similar smear layer removal ability like 17% EDTA gel with saline final rinse in coronal and middle third, it performed better than EDTA gel in the crucial apical one-third of root canal

Model checking restricted sets of timed paths

In this paper, we study the complexity of model-checking formulas of four important real-time logics (TPTL, MTL, MITL, and TCTL) over restricted sets of timed paths. The classes of restricted sets of timed paths that we consider are (i) a single finite (or ultimately periodic) timed path, (ii) an infinite set of finite (or infinite) timed paths defined by a finite (or ultimately periodic) path in a region graph, (iii) an infinite set of finite (or infinite) timed paths defined by a finite (or ultimately periodic) path in a zone graph. Several results are quite negative: TPTL and MTL remain undecidable along region- and zone-paths. On the other hand, we obtained PTIME algorithms for model-checking TCTL along a region path, and for MTL along a single timed path. © 2006 Elsevier B.V. All rights reserved.SCOPUS: ar.jinfo:eu-repo/semantics/publishe