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A model Raman spectrum was constructed by using density functional theory (DFT) to track amino acid changes in the seminiferous tubules of hindlimb unloaded (HU) mice. A B3LYP functional with [...]

In this paper, we propose new approaches to the construction of extremely multistable systems containing one-, two-, and three-dimensional lattices of identical hidden chaotic attractors possessing the same Lyapunov exponents. In particular, we prove that for multidimensional models of automatic control systems in the Lurie form, it is always possible to pass from an interactive system to a cascade system; this substantially simplifies the procedure for constructing multidimensional lattices of identical chaotic attractors. Keywords and phrases: dynamical system, chaos, extreme multistability, displacement of phase flow, Lyapunov exponent, Kaplan-Yorke dimension. AMS Subject Classification: 34C28, 34D08, 37N35, 1. Introduction. In the real physical world, multistability is quite common. It can be observed, for example, in dynamical models of gas lasers (see [1]), biological systems (see [12]), fiber [...]

Raman spectroscopy in the near-infrared spectral range is commonly used in many application areas, including in the analysis of beverages, such as whisky. For this purpose, lasers with 785 or 1064 nm wavelength are very popular. In the studies presented here, we compare the two wavelengths in the context of whisky analysis and authentication. Our results reveal that both excitation wavelengths have benefits and drawbacks. For example, 1064 nm is capable of performing through-container measurements even in green glass bottles, which is not possible with 785 nm. On the other hand, the moderate fluorescence signal generated with 785 nm makes it possible to determine a variety of additional parameters including the type of cask in which the whisky was matured., Raman spectroscopy is gaining ever increasing attention in the analysis of food products and especially of beverages such as spirits. Its capability to analyze samples through the wall of glass [...]

Byline: Abhay. Mahajan, Sumeeta. Mahajan We thank the readers for their comments. The study was conducted from May 2020 to May 2021. To our knowledge, there was no study published [...]

These structures are crucial for drug design, but the screening and optimization of the conditions that produce well-diffracting crystals represent a bottleneck in the structure determination process. In this study, [...]

In forest management planning, errors in predicted stand attributes might lead to suboptimal decisions that result in decreased net present value (NPV). Forest inventory data will have higher value if the amount of suboptimal decisions can be decreased. Therefore, the value of information can be measured through the decrease in inoptimality losses, which are the NPV differences between the optimal and suboptimal decisions. In this study, four alternative sample plot selection strategies with different numbers of sample plots were compared in terms of expected mean inoptimality losses. Stand-level mean inoptimality losses varied between 41.1 x [ha.sup.-1] [euro] and 80.7 x [ha.sup.-1] [euro], depending on the sample plot selection strategy and the number of sample plots used as training data in the k-nearest neighbors imputation method. Mean inoptimality losses decreased substantially when the number of sample plots increased from 25 to 100, and the decreasing trend continued until 500 sample plots. Total inoptimality losses can decrease by approximately 1 million [euro] in an inventory area of 100 000 ha when the number of sample plots is increased from 100 to 500. The measurement of more sample plots can be justified as long as the field measurement costs do not exceed the decrease in inoptimality losses. Key words: forest inventory, forest management planning, inoptimality loss, value of information, cost-plus-loss analysis. Lors de la planification de l'amenagement forestier, des erreurs dans les predictions des attributs de peuplement pourraient conduire a des decisions sous-optimales, entrainant une diminution de la valeur actuelle nette (VAN). Les donnees d'inventaire forestier auront une plus grande valeur si elles servent a diminuer le nombre de decisions sous-optimales. Par consequent, la valeur de l'information peut etre mesuree par la diminution des pertes dues a la sous-optimalite, qui correspondent a la difference de VAN entre les decisions optimales et sous-optimales. Dans cette etude, quatre strategies differentes de selection des placettes d'echantillonnage, avec differents nombres de placettes d'echantillonnage, ont ete comparees en termes de moyennes attendues des pertes dues a la sous-optimalite. Les pertes moyennes dues a la sous-optimalite a l'echelle du peuplement ont varie entre 41,1 [euro] et 80,7 [euro] par hectare, en fonction de la strategie de selection des placettes d'echantillonnage et du nombre de celles-ci utilisees comme donnees d'apprentissage dans la methode d'imputation des k-plus proches voisins. Les pertes moyennes dues a la sous-optimalite ont sensiblement diminue lorsque le nombre de placettes d'echantillonnage est passe de 25 a 100, et la tendance a la baisse s'est poursuivie jusqu'a 500 placettes d'echantillonnage. Les pertes totales dues a la sous-optimalite peuvent diminuer d'environ 1 million [euro] dans une zone d'inventaire de 100 000 ha lorsque le nombre de placettes d'echantillonnage augmente de 100 a 500. La mesure d'un plus grand nombre de placettes d'echantillonnage peut etre justifiee a condition que les couts de mesure sur le terrain ne depassent pas la diminution des pertes par sous-optimalite. [Traduit par la Redaction] Mots-cles: inventaire forestier, planification de l'amenagement forestier, perte due a la sous-optimalite, valeur de l'information, analyse combinee de cout plus perte., 1. Introduction Forest inventories based on airborne laser scanning (ALS) usually consist of data acquisition, model-building, and accuracy assessment with training data, the prediction of stand attributes in a wall-to-wall [...]

* Context.--A significant negative trend in length of cone excision has been observed in recent years, leading to a higher percentage of positive endocervical excision margin and close ( Objective.--To evaluate the rate of disease persistence and recurrence after cervical excision for cervical intraepithelial neoplasia in relation to a close ( Design.--We retrospectively analyzed a cohort of patients with cervical intraepithelial neoplasia having a carbon dioxide laser cervical excision performed by the same operator. We evaluated the rate of positive follow-up in relation to the status of endocervical margin. Results.--We found a higher percentage of positivity at follow-up and recurrence rate between 13 and 24 months in patients with positive margin than for patients with negative or close endocervical margin (P =.005 and P = .006, respectively), with no difference between negative and close margin (7.0% versus 8.3%, P =.89, and 1.2% versus 0%, P =.83, respectively). Conclusions.--Women with close and negative endocervical margin presented similar risk of positivity at longterm follow-up, disease persistence, and recurrence between 13 and 24 months, so the histopathologic report of a free endocervical margin less than 1 mm should not categorize the patient as being at increased risk of treatment failure. Therefore, the only information that the pathologist should report is the state of the margin (positive or negative), regardless of the negative endocervical margin length. (Arch Pathol Lab Med. 2019;143:1006-1011; doi:10.5858/arpa.2018-0363-OA), Cervical intraepithelial neoplasia (CIN) is a potentially premalignant lesion of the uterine cervix, with a risk of progression to invasive cervical cancer related to the severity and size of the [...]

Byline: Dacia. Di Renzo, Giada. Pizzuti, Giuseppe. Lauriti, Valentina. Cascini, Pierluigi. Lelli Chiesa Introduction: Few case series report the use of holmium: yttrium-aluminum-garnet (Ho:YAG) laser to decompress ureterocele (UC) in [...]