bluuebunny/crossref_metadata_2025 huggingface dataset:
The Russian musical art of the early XX century: Genrism
Authors: Demchenko Aleksandr Ivanovich
Published: March 2023

Editor-in-Chief’s Column has accomplished publication of a large series of artistic-historical essays ‘Artwork Directions’ which consecutively considered the major epochs. Now we’d like to present one more cycle of essays ‘The Russian Musical Art of the Early XX Century’ covering native musical art of the turn and beginning of the XX century as an attempt to comprehend what was happening with the world and the man at the historic turning point from the era of the New to the Newest Time. The previous essays about the Russian musical art of the early XX century described its poles (2021. Vol. 14. Iss. 10), folk genre (2021. Vol. 14. Iss. 11) and “pagan” style in music (2022. Vol. 15. Iss. 2). The essay is devoted to providing insight into the peculiarities of formation and existence of the phenomenon of genrism in the Russian musical art of the early XX century. The paper examines both the most notable musical genre works (I. Stravinsky’s ballet “Petrushka” (1911), S. Prokofiev’s ballet “Chout” (1915)) and lesser-known examples belonging to the national musical comedy genre, written in the forms of a domestic comedy of manners and characters (U. Hajibeyov’s operetta “Arshin Mal Alan” (1911-1913), V. Dolidze’s comic opera “Keto and Kote” (1918)). Special attention is paid to determining the significance of the festive-hedonistic worldview for the figurative sphere under consideration. As a result, the author comes to the following conclusion: the active development of musical genre art, which covered the entire transition period from classic to modernity, became an indisputable and incredible phenomenon of the early XX century, reflecting the people’s ineradicable will to live, manifested in spite of all kinds of negative and frightening processes of the national history during that time.
Комбинированное действие имипенема и кларитромицина на биопленочную форму бактерий Pseudomonas aeruginosa
Authors: Шипицына Ирина Владимировна , Осипова Елена Владимировна
Published: March 2023

Одним из перспективных направлений в борьбе с биопленочной формой инфекции является комбинированное использование антибиотиков, позволяющих увеличить доступность клеток, находящихся в матриксе биопленки, для препарата и в то же время снизить активность пленкообразования. Изучено совместное влияние имипенема и кларитромицина на биопленочную форму бактерий Pseudomonas aeruginosa, выделенных у пациентов с хроническим остеомиелитом. В исследовании количество устойчивых к карбапенемам изолятов P. aeruginosa не превышало 41,2 %. Количество резистентных к цефтазидиму, цефепиму, азтреонаму штаммов было более 50 %. Среди антибиотиков-аминогликозидов самый эффективный препарат — амикацин (36,5 % нечувствительных штаммов), резистентность к фторхинолонам была в пределах 51,2 – 54,2 %. Штаммы P. aeruginosa активно формировали биопленку на поверхности полистироловых планшетов, что свидетельствовало об их высоком адгезивном потенциале. Имипенем (10 мкг/мл) снижал активность пленкообразования в 1,2 раза, по сравнению с контрольной серией (p ≤ 0,05). Кларитромицин (15 мкг/мл) не оказывал существенного влияния на биопленку, напротив, наблюдали повышение уровня адгезии бактерий к полистиролу, по сравнению с контролем. Результатом комбинированного использования имипенема и кларитромицина стало снижение адгезивного потенциала P. aeruginosa в 1,8 раза, по сравнению с контрольной серией (p ≤ 0,05). Аналогичные результаты получены в экспериментах на поверхности покровного стекла. Комбинация имипенем + кларитромицин может быть эффективной для ингибирования биопленок, но не полной их элиминации.
Spaces of series in system of functions
Authors: Sheremeta M. M.
Published: March 2023

The Banach and Fr\'{e}chet spaces of series $A(z)=\sum_{n=1}^{\infty}a_nf(\lambda_nz)$ regularly converging in ${\mathbb C}$,where $f$ is an entire transcendental function and $(\lambda_n)$ is a sequence of positive numbers increasing to $+\infty$, are studied.Let $M_f(r)=\max\{|f(z)|:\,|z|=r\}$, $\Gamma_f(r)=\frac{d\ln\,M_f(r)}{d\ln\,r}$, $h$ be positive continuous function on $[0,+\infty)$increasing to $+\infty$ and ${\bf S}_h(f,\Lambda)$ be a class of the function $A$ such that $|a_n|M_f(\lambda_nh(\lambda_n))$ $\to 0$ as$n\to+\infty$. Define $\|A\|_h=\max\{|a_n|M_f(\lambda_nh(\lambda_n)):n\ge 1\}$. It is proved that if$\ln\,n=o(\Gamma_f(\lambda_n))$ as $n\to\infty$ then $({\bf S}_h(f,\Lambda),\|\cdot\|_h)$ is a non-uniformly convexBanach space which is also separable.In terms of generalized orders, the relationship between the growth of $\mathfrak{M}(r,A)=\break=\sum_{n=1}^{\infty} |a_n|M_f(r\lambda_n)$,the maximal term $\mu(r,A)= \max\{|a_n|M_f(r\lambda_n)\colon n\ge 1\}$ and the central index$\nu(r,A)= \max\{n\ge 1\colon |a_n|M_f(r\lambda_n)=\mu(r,A)\}$ and the decrease of the coefficients $a_n$.The results obtained are used to construct Fr\'{e}chet spaces of series in systems of functions.
Papillary thyroid cancer in children. Clinical cases
Authors: Zelinska N. B. , Nechai O. P. , Sorokopud K. Y. , Gulvan T. V. , Globa E. V. , Vovk K. O.
Published: March 2023

Thyroid cancer (TC) is the most common endocrine tumor in pediatric patients. Papillary carcinoma accounts for the highest rate among differentiated TCs (80—90%). Papillary thyroid cancer in children is clinically different from this pathology in adults. In comparison with adults, papillary thyroid cancer in children is diagnosed at later stages and is associated with a more aggressive course of the disease. Despite the high frequency of metastases and recurrences of papillary thyroid cancer in children, the prognosis remains favorable. In Ukraine, 10 years after the accident at the Chernobyl nuclear power plant, the average incidence rates of papillary thyroid cancer among children of all ages gradually decreased, but since 2010—2011, a negative trend towards an increase in the number of new cases of pathology, especially children under 14 years of age, has been restored. Several studies suggest that the increase in the incidence of papillary thyroid cancer is only partially explained by the increase in the number of preventive examinations performed, as there is also an increase in the detection of large tumors and the diagnosis of advanced stages of the disease.Over the past 14 years, 759 children aged 3 to 18 from all regions of Ukraine were operated in the clinic of the Ukrainian Scientific and Practical Center for Endocrine Surgery, Transplantation of Endocrine Organs and Tissues of the Ministry of Health of Ukraine (Center). From them, based on the results of histopathological examinations, papillary thyroid cancer was diagnosed in 290 (38.2%) children (including 73.45% girls and 26.55% boys). In most cases, the disease was diagnosed during adolescence, except for isolated cases among children of primary school and preschool age. The paper presents two clinical cases.Annual preventive thyroid ultrasound investigation is required for early diagnosis of nodular goiter, including malignant thyroid tumors, especially in children with a burdened family history of these tumors. Any nodular goiter in children should be considered potentially malignant until its benign nature is proven by appropriate qualified investigations. To ensure proper and timely verification of malignant thyroid tumors in pediatric patients, to avoid unjustified (insufficient or excessive) surgical treatment of children with thyroid tumors, such patients should be referred to medical institutions with modern diagnostic capabilities and expert‑level surgical experience in the treatment of children with nodular goiter and malignant thyroid tumors.
COVID-19 Pandemisine Varoluşçu Bir Yaklaşım
Authors: Budak Simay Ezgi , Üzar Özçetin Yeter Sinem
Published: March 2023

COVID-19 pandemisi, tüm dünyada bireyleri hem fiziksel hem de psikososyal açıdan ciddi bir şekilde etkilemiştir. COVID-19’un öngörülemeyen bir hastalık olması, bireylerin sağlık ve güvenliklerini tehlikeye atması, maske ve karantina önlemleri gibi olağandışı prosedürlerin uygulanması bireylerin bu süreçte belirsizlik yaşamalarına, özgürlüklerinin kısıtlanmasına ve ölüm üzerine düşünmelerine sebep olmuştur. Bireyler, bilinmeyen ve ölümcül bir tehlike yaratan COVID-19 pandemisini varoluşa karşı bir tehdit olarak algılamış ve bu durum varoluşsal kaygıların ortaya çıkmasına yol açmıştır. Bunun sonucunda da bireyler ölüm ve yaşamın anlamı üzerine daha derin düşünmeye başlamışlardır. Pandemi süreciyle ilişkili varoluşsal kaygılar bireyleri psikososyal açıdan önemli bir ölçüde etkilemiş ve psikolojik distres gibi sorunlara neden olmuştur. Bu nedenle COVID-19’un ortaya çıkardığı varoluşsal kaygıların anlaşılması, bu kaygılara yönelik yapılacak psikososyal girişimlerin belirlenmesinde ve uygulanmasında kritik bir yere sahiptir. Bu derlemede, COVID-19 pandemisinin varoluşçu kuram çerçevesinde ele alınması ve bu doğrultuda pandemi sürecinde ortaya çıkan yaşamda anlam arayışının, varoluşsal kaygıların ve bu kaygıların yönetilmesinde kullanılan yöntemlerin gözden geçirilmesi amaçlanmıştır.
Immigration of Circassians to the Ottoman Empire in the 1820s–1850s.
Authors:   V.I. Abaev North Ossetian Institute for Humanitarian and Social Studies of the Vladikavkaz Scientific Centre of RAS, Georgy Chochiev
Published: March 2023

Long before the mass exodus of the Northwestern Caucasus people representatives to the Ottoman Empire during the final stage of the Caucasian War, there were sporadic group and individual mi-grations of Circassians to the Sultan’s possessions, directly or indirectly caused by Russian mili-tary-political expansion in the region. These episodes of the early Caucasian muhajirism, as well as the situation of this settlers in the Ottoman possessions, usually remain outside the attention of researchers. This article, based mostly on the Turkish archival sources and testimonies of contem-poraries introduced into scientific circulation for the first time, reveals the cases of immigrant communities and families from Circassia to the Ottoman territory, traces their relocations and main places of temporary and permanent settlement in Anatolia and characterizes the features of the settlers’ adaptation in their new homeland within the framework of the emerging colonization policy of the Porte during the 1820s–1850s. In this regard, this article clarifies some circumstanc-es of the stay and activity in the Ottoman state of one of the significant figures of the Hadjret re-sistance in the Trans-Kuban region - Prince Hatokshoko Mohammed Asha.
Peculiarities of Abdullah Begiev's idiostyle
Authors:   The Institute for the Humanities Research – Affiliated Kabardian-Balkarian Sci-entific Center of the Russian Academy of Sciences, Fatima T. Uzdenova
Published: March 2023

The work of the Balkarian poet A. Begiev is reviewed in a chronological order, the thematic col-lections “Igilikge iinanyu”, (“With faith in good”), “Keziu” (“Turn”), “Bet” (“Conscience”), the main ideological and conceptual features of his works are revealed: in the patriotic sector – “the joy and pain of my land” (“zherimi kuuanchy, zharasy yes”), in the intimate lyrics – “sweet mo-ments of love” (“syuymekni tatly azaby”), moral imperatives – “conscience” (“bet”) (the defini-tion of the specifics, features of the author’s reflection when creating texts of such a plan is often fixed in the very title of the work). The poetry of A. Begiev is characterized primarily by deep philosophism, a pragmatic view of the life and way of life of compatriots. Conceptual thought is addressed to the depths of human self-consciousness. Object-subject relations are represented through extremely informative images-symbols. The death of a friend is commensurate with the fall of the “heavenly tree” (kyok teregi audu”), the sadness of the mountains (“andan mudahdyla taula”) (poem “Eki zhulduz” (“Two stars”). Skeptical moods model the philosophy of the lyrical hero: “...Men zhalangachma ... / Zher achdy – es, tuzlyuk yes achlykda ...“(“I am destitute (na-ked)... / The earth is hungry – consciousness, justice too ...); “Suukma, jurekle talashsalada ...” (“I freeze when hearts argue…“), poem “Keziu” (“Turn”). The article illustrates the diverse activities of A. Begiev – from works for children, transla-tions, journalism – to works on the collection and systematization of previously unpublished works of the classic of Balkarian literature Kazim Mechiev, the poet Akat Shavaev, as well as lamentation songs (kuy), poems, lamentation lyrical songs, which compiled the collection “Shagatlyk eteme” (“Living Witnesses”, 2004). The main methods of research: hermeneutical, culturological, semiotic.
Lexico-semantic features of Kara-Nogais talk of the Mikhailovsk city, Stavropol Territory (by the linguistic expedition materials of NRU SSPI 2023)
Authors:   Stavropol State Pedagogical Institute, Artyom S. Goncharov , Olesya S. Makarova , Inna I. Lizenko
Published: March 2023

The article explores the models of vocabulary and semantics based on the example of folklore and speech creativity of the Kara-Nogais of Mikhailovsk (Stavropol Territory). Such sources on the language and culture of the Nogais as heroic epic, oral folk tradition and written documents are considered. The practical material of the article resulting in the expedition, which occurred in 2023. The information of the local periodical «Mikhailovskiye vesti» and the information agency «Cossack unity» is characterized. It’s revealed that the linguistic culture of the Kara-Nogais of the Stavropol Territory in modern times is unexplored, which causes interest in this sub-ethnos. The language features of the Kara-Nogais community of the residential complex «Admiral» in Mi-khailovsk differ significantly from the Astrakhan and Circassian groups, which are more wide-spread in the North Caucasus Federal District. It is concluded that the linguistic synthesis of the Nogais and Karagash dialects led to the formation of a commonality of the Kara-Nogais dialect of the Nogais language with the vocabulary of the Kazakh and Karakalpak languages, and borrowings from Arabic, Persian and Russian languages caused a semantic shift, clearly seen in the example of a significant part of the cultural and social household concepts. It is concluded that morpholog-ically, the Kara-Nogais dialect is agglutinative, parts of speech are divided into names, verbs and auxiliary parts of speech; the semantics of the dialect testifies to the extreme closeness of the so-ciety of the Kara-Nogais, who developed their own model of the world and the peculiarities of the hermeneutics of natural, social and cultural processes in the framework of life, speech creativity and performance of singing traditions, sayings, riddles.
Modern problems of the dagestan languages preservation through the eyes of experts
Authors:   Dagestan Federal Research Center of RAS, Yusup Dzh. Dzhabrailov
Published: March 2023

The article handles the problem of studying regional Dagestan languages against the backdrop of an intensive process of urbanization in the republic. Based on an expert survey, modern events in the language sphere and the measures for the development of the Dagestan languages are identi-fied, which affect legislative initiatives at the federal level and the state of native languages in the government. The author pays special attention to the connection between the ethno-cultural educa-tion of the younger generation and the formation of manifestations of civic consciousness and pat-riotic feelings of an individual personality. Thus, the author attempted to analyze the social aspect of the functioning of regional lan-guages. The main purpose of the study is to identify the real picture of the language needs of Da-gestan people and to prevent possible social conflicts based on dissatisfaction with the ethno-cultural needs of the population. The author focuses on turning national policy into an effective mechanism for strengthening civic identity, maintaining social stability at the federal, regional levels.
Formation of the border guard on the russian-persian border in the late XIX – early XX century
Authors:   Independent researcher, Konstantin A. Pavlov
Published: March 2023

The article analyzes the process of development of protecting the Russian-Persian border-by-border guard units in the late XIX–early XX century. Properly organized and precisely established border surveillance, forming the conditions for protecting the state border, was important in ensuring security on the borders of the Caucasus in the XIX century. This was because the state border in the Caucasus was violated not only by professional smugglers but also by the local population. The article shows that, because of these circumstances, the establishment of expedient border surveillance on the Russian-Persian border, together with a thorough study of local geographical, topographic and economic conditions, was the subject of the first state's importance. Based on the studied sources and literature, the process of the border guard formation on the Russian-Persian border was revealed. In pre-revolutionary and Soviet historiography, studies of the activities of border units were practically not performed, and only in the post-Soviet period, interest was shown in this issue. However, the works of the post-Soviet period are mainly overview and did not concern the issues of the history of the formation of the border guard on the Russian–Persian border in the late XIX–early XX centuries. The paper shows that without specialized units, the Russian Empire could not protect its national interests in the border area in the Caucasus. The development of the system of protection of the Russian-Persian border was conducted under difficult topographic conditions.
Predictive equity in suicide risk screening
Authors: Cero Ian , Wyman Peter , Chattopadhyay Ishanu , Gibbons Robert D.
Published: March 2023

Discusses predictive fairness in suicide risk screening.
A Neural Network Method for Validating Nigerian Monetary Policy Rates
Authors: Kamran Danial
Published: March 2023

: This research work is an exploratory study that tried to examine the viability of adopting artificial neural network(ANN), an aspect of machine learning in the analysis of monetary data for the design and validation of monetary policy from bothoptimistic and normative approach. Methodologically, the research is motivated by the work of [33] which used the Greenbook realtime data of the U.S. Federal Reserve's in the analysis of monetary policy reaction functions in forecasting performance using ANN.Following the work on the adoption of this technique, we tried to develop a framework based on machine learning for policy rateforecasting by analysing macroeconomic data with the aim of guiding and aiding monetary authority in making monetary policydecisions. From the results, the ANN perform better in predicting the monetary policy rate compared to the linear models and theunivariate process. It also revealed the non-linearity in the behavior of the monetary policy rate in Nigeria during the study period.While the work does not mean to advocate that machine will replace human-being in policy rate determination in the monetary policymaking process; we believe that the development and implementation of this system would support building effective prediction systemwhich can be validated. The result from the designed system is expected to enhance credibility, confidence and transparency of centralbanks in making an independent decision (s) based on objective forecasts and implied analysis in setting policy through a wellstructured comparison of results.
Indicators for teaching assessment
Authors: Hansen Miriam , Beitner Julia , Horz Holger , Schultze Martin
Published: March 2023

This commentary on Schönbrodt et al. (2022) and Gärtner et al. (2022) aims at complementing the ideas regarding an implementation of DORA for the domain of teaching. We describe some pragmatic ideas for indicators of good teaching and formulate desiderates for future research programs and validation.
Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems
Authors: Ororbia Alexander G.
Published: March 2023

We develop a neuro-mimetic architecture, composed of spiking neuronal units, here individual layers of neurons operate in parallel and adapt their synaptic efficacies without the use of feedback pathways. Specifically, we propose an event-based generalization of forward-forward learning, which we call contrastive-signal-dependent plasticity (CSDP), for a spiking neural system that iteratively processes sensory input over a stimulus window. The dynamics that underwrite this recurrent circuit entail computing the membrane potential of each processing element, in each layer, as a function of local bottom-up, top-down, and lateral signals, facilitating a dynamic, layer-wise parallel form of neural computation. Unlike other models, such as spiking predictive coding, that rely on feedback synapses to adjust neural electrical activity, our model operates purely online and forward in time, offering a promising way to learn distributed representations of sensory data patterns, with and without labeled context information. Notably, our experimental results on several pattern datasets demonstrate that the CSDP process works well for training a dynamic recurrent spiking network capable of both classification and reconstruction.
Understanding and Assessing Demographic (In)Equity Resulting from Extreme Heat Exposure due to Lack of Tree Canopies in Norfolk, VA using Agent-Based Modeling
Authors: Zamponi Virginia , Obrien Kevin , Jensen Erik , Feldhaus Brandon , Moore Russell , Lynch Christopher , Gore Ross
Published: March 2023

Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and create harmful environmental exposures for residents daily during certain parts of the year. Tree canopies provide shade and help to cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. We develop a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which different demographics of residents in Norfolk, VA are equitably shaded from extreme heat conditions during a walk on a clear summer day. We use the model to assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that inequitable conditions exist for residents (1) at different education levels, (2) at different income levels and, (3) living in different census tracts. Norfolk's Tree Planting Program effectively reduces the distance residents of all demographics walk in extreme heat. However, residents of the city at lower income levels still experience statistically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels.
The Application of CNN-Based Image Segmentation for Tracking Coastal Erosion and Post-Storm Recovery
Authors: Kang Byungho , Duran Vinent Orencio
Published: March 2023

Coastal erosion due to extreme events can cause significant damage to coastal communities and deplete beaches. Post-storm beach recovery is a crucial natural process that rebuilds coastal morphology and reintroduces eroded sediment to the subaerial beach. However, monitoring the beach recovery, which occurs at various spatiotemporal scales, presents a significant challenge. This is due to, firstly, the complex interplay between factors such as storm-induced erosion, sediment availability, local topography, and wave and wind-driven sand transport; secondly, the complex morphology of coastal areas, where water, sand, debris and vegetation co-exists dynamically; and, finally, the challenging weather conditions affecting the long-term small-scale data acquisition needed to monitor the recovery process. This complexity hinders our understanding and effective management of coastal vulnerability and resilience. In this study, we apply Convolutional Neural Networks (CNN)-based semantic segmentation to high-resolution complex beach imagery. This model efficiently distinguishes between various features indicative of coastal processes, including sand texture, water content, debris, and vegetation with a mean precision of 95.1% and mean Intersection of Union (IOU) of 86.7%. Furthermore, we propose a new method to quantify false positives and negatives that allows a reliable estimation of the model’s uncertainty in the absence of a ground truth to validate the model predictions. This method is particularly effective in scenarios where the boundaries between classes are not clearly defined. We also discuss how to identify blurry beach images in advance of semantic segmentation prediction, as our model is less effective at predicting this type of image. By examining how different beach regions evolve over time through time series analysis, we discovered that rare events of wind-driven (aeolian) sand transport seem to play a crucial role in promoting the vertical growth of beaches and thus driving the beach recovery process.
Sustaining the focus of attention and how it relates to performance in complex cognitive tasks
Authors: Tsukahara Jason S. , Engle Randall W
Published: March 2023

The ability to sustain attention over time and the maintenance of information in working memory are highly overlapping constructs. Many tasks used to measure sustained attention rely heavily on the maintenance of information in working memory to sustain continuous task performance over large periods of time. To further understand the relationship between sustained attention and working memory, we tested whether the ability to sustain the focus of attention over a relatively short period of time (e.g., 12 seconds) is related to cognitive abilities such as working memory capacity and attention control. We used a novel paradigm, the sustained attention-to-cue task, to manipulate the duration attention had to be sustained at a cued location: none (0 seconds), short (2 – 5 seconds), medium (5.5 – 8.5 seconds), and long (9 – 12 seconds). We found that attention waned and accuracy decreased as the wait time got longer. Those higher on attention control ability, had less of a decline in accuracy as the wait time got longer. However, the decline in accuracy as wait time got longer was not related to working memory capacity, fluid intelligence, or multitasking. These findings challenge how we think about sustained attention and working memory capacity, and the nature of attention control more generally.
Welfare Costs of Inflation in Nepal: An Empirical Analysis
Authors: Koirala T.P.
Published: March 2023

This paper empirically examines the welfare losses arising from the currently rising inflation rate of Nepal using the method introduced into the literature by Bailey (1956) and the demand for real balance function put forward by Deaver (1970). Utilizing annual time series ranging from 1973 to 2009, the result obtained here supports the theoretical underpinning that the rise in inflation is leading to decrease in real balance and hence increase in welfare loss. It is also found that the rate of increases in welfare cost as a result of significant rises in inflation is sluggish. Further, the finding also leads one to conclude that the significant fraction of real income as welfare cost in the year 2010 corresponds to other factors affecting real balance rather than anticipated inflation. However, the evidence is consistent with the view that such cost may change under the relaxation of restrictions imposed corresponding to government’s motivation in raising inflation tax revenue (seigniorage), investment decisions of the economic agents, inflation uncertainty affecting the behavior of money holders and optimal rate of inflation specified.
Trans Rights, Trans Justice: A Conversation About Key Trans Legal Issues in Canada
Authors: Hébert William , Singer Samuel ,   DT
Published: March 2023

In November 2021, this virtual roundtable discussion brought together three activist-scholars to examine current trans legal issues in Canada and reflect on a broader vision for trans justice. The conversation’s starting points were the recent Superior Court of Québec’s decision in Centre for Gender Advocacy v Attorney General of Quebec, which found that Québec law about identification papers discriminated against trans and non-binary people, and the provincial government’s shocking response in proposing regressive and harmful legal changes. The panelists contextualized these legal twists by discussing the recurring patterns of trans rights victories being followed by anti-trans backlash; the gaps between legal reforms and their implementation; the law’s promises for, and limits in, effecting social change; and the vital role that community expertise can and must play in (re)defining the future of trans justice.
Investigation of Aerodynamic Characteristics of a Two-Bladed Sailing Wind Turbine
Authors: Tleubergenova A.Zh. , Tanasheva N.K. , Shaimerdenova K.M. , Botpaev N.K. , Minkov L.L. , Kassiyev S.B.
Published: March 2023

The article examines a prototype of a wind turbine with two blades. For experimental work, a mock-up of a sailing wind turbine consisting of two blades was developed. The material of the sail blades was selected according to elasticity and lightness, cheapness, roughness of the streamlined surfaces. The study shows the aerodynamic parameters acting on the blade. The air flow velocity varied from 3 to 12 m/s. The dependence of the lifting force and the frontal barrier on the air flow velocity was obtained by turning the blades of the wind turbine so that the angle of attack was α = 00; 150; 300; 450 и 600. It is established that when the position of the blade’s changes, the lifting force and the drag force decrease. With an increase in the angle of attack α > 00 leads to a decrease in the midsection of the wind wheel with respect to the air flow. On this basis, there is a decrease in aerodynamic forces. As the speed of the air treacle increases, the speed of rotation of the wind     wheel also increases. However, during the experiment it was found that the location of the blades at different angles affects the numerical value of the rotational speed. According to the conducted experiments, several values were obtained. The analysis of the obtained values is carried out. A graph is constructed based on the dependence of the wind wheel rotation frequency on the wind speed with a change in the angle of attack. A wind turbine with blades with a variable angle of attack, which, turning, gradually become more parallel to the direction of the wind. Centrifugal forces regulate the inclination of the blades, and as a result, the speed of rotation of the wind wheel, and keep the wind generator at the nominal speed of rotation.
Risk Assessment of Water Transport Enterprises by Modeling Direct and Indirect Threats
Authors: Kotenko Sergiy , Ilchenko Svitlana , Kasianova Valeria , Kens Artem
Published: March 2023

Introduction. The methods of traffic modeling by water transport and assessing the risks associated with it is needed to identify the issues of the past period, proposing methods for assessing not only direct but also indirect risks to form the preconditions for preventing them in the postwar reconstruction. The coordination of different transport type’s actions of transport requires an assessment of risks impact of the previous stages of mixed transportation on the formation of the following risks’ stages. Existing methods of assessing such impact need to be improved.
Aim and tasks. The aim of this study is creation of methodological approach to risk management in water transport based on a mathematical model for assessing the impact of both direct and indirect risks. The tasks are: to prove that the additive approach of taking risks into account leads to the systematic deviation appearance from the result; take into account the impact on the risk of cargo transportation.
Results. It has proved that the calculation of risk as an additive function leads to a systematic deviation from the relevant result. It stated that the risk of each of the next stages of transportation depends on the risks of the previous stages. To increase risk analysis relevance in water transport, the use of an oriented graph in a multidimensional parameter space proposed. It stated that in order to calculate the integrated risk, it is essential building not only the risk matrix but also the risk incidence matrix to take into account their relation to business entities. It established the impact of even minor risks could take the form of a catastrophe, which leads to cargo flows reorientation. It established that: for calculation of integral risk, it is crucial consider direct and indirect influences of risks; risk calculation for water transport also requires risk analysis in related modes of transport.
Conclusions. It was established that, when calculating integral risk, it is necessary to consider direct and indirect influences on risks and that the risk calculation for water transport also requires risk analysis in related modes of transport. The proposed approach significantly increases the relevance of water transport risk analysis and allows for managing changes in transportation routes in real time.
APPLICATION OF INTEGRATED LEARNING MODEL CONNECTED WITH AUDIOVISUAL MEDIA TO IMPROVE STUDENT LEARNING OUTCOMES AT SMKN 4 JEMBER
Authors: Fatmawati Diah
Published: March 2023

Student learning outcomes to date are still less than what the teacher expects, it is time for teachers to fix the learning process, especially Civics, especially regarding the models, approaches, or techniques used in learning. Several kinds of learning models are expected to be able to overcome problems in Civics learning, including the Connected Model Integrated Learning

This research is a Classroom Action Research (CAR) which was conducted in two cycle stages. Cycle I consisted of two meetings and cycle II consisted of one meeting. Each cycle consists of four stages, namely planning, implementing actions, observing and reflecting, The subjects in this study were students of class XI MM1 SMKn 4 Jember, totaling 41 students. The indicator of success in this study is if 75% of students are actively involved in learning and there is also an increase in learning outcomes in each cycle through the post test and if 85% of students can achieve the Minimum Completeness Criteria (KKM) determined by the school, which is 77. The results showed that with the application of the treasure hunt method through the articulation learning model in Civics subjects, the material for Implementation of Democracy in Indonesia in class XI MMI 1, the overall score of student learning activities on each indicator increased by 14.97%, from the average cycle I. by 73.61% to 81.94% in the second cycle. Increased mastery of student learning outcomes increased from the first cycle of 21 students (58.3%) to 31 students (86.1%) who achieved the KKM score in the second cycle
Technological essence of carbon production sorbents based on vegetable raw materials and their economic efficiency
Authors: Kalivoshko M. , Kalivoshko O.
Published: March 2023

It is shown that due to the rapid increase in the number of vehicles, the use of fuels and lubricants is increasing, which, despite all measures and precautions, pollute the environment with harmful and toxic products through spills and spills. It has been studied how oil products and their decomposition products that enter the environment pollute the soil and water. The efficiency of soil and water treatment depends on the method, technology, method, tools and techniques. The method of sorption (absorption) is becoming especially popular and widespread in the purification of soils and water from pollution. It is analyzed how the method of sorption, at relatively low cost, provides effective purification of soil and water from petroleum products. The technologies of obtaining carbon sorbents by the method of carbonization from by-products of plant origin (sawdust, straw, leaves), the volumes of which for the synthesis of carbon sorbents are practically not limited, are substantiated. The essence of the process of carbonization of carbon sorbents on the basis of vegetable raw materials is highlighted. Physical, chemical, structural, sorption and absorption characteristics of plant raw materials and carbon sorbents obtained from it are presented. The ecological, economic advantages and efficiency of carbon sorbents of vegetable origin for purification from oil products, in comparison with other purification methods are revealed.
Monitoring the technical condition of agricultural machinery for guideline materials for its operation
Authors: Nоvitskiy A. , Kharkovskiy I. , Nоvitskiy Yu.
Published: March 2023

An important component for ensuring the efficient use and improving the reliability of agricultural machinery is the availability of appropriate regulatory and technical documentation governing the requirements for its technical condition and operation. Serviceability of equipment can be restored during repair, and operability - is maintained during maintenance and in the course of operation on the basis of recommendations provided by the instructions and guiding materials on the use of machines.

For timely and effective maintenance and repair of means for preparation and distribution of fodder (MPDF) it is necessary to know: criteria of operability loss; limit and admissible values of parameters of the technical state; process indicators of transition of machinery from operable to non-operable state; regularities of changes in the main properties.

The article presents the monitoring of instructions for maintenance and operation of machinery, guiding materials for use from the position of their informativeness on the implementation of reliability requirements.

The monitoring was conducted for the analysis of foreign samples of MPDF. Within the framework of the monitoring, grinding-mixing mechanisms (GMM) were analyzed from the position of availability of information about design features, possible failures and malfunctions, main ways of restoration of serviceability. The main provisions, which are determinative for estimation of technical condition of separate parts and working bodies, for improvement of GMM and MPDF reliability as a whole when using guiding materials, have been established.

The provisions include: information about indicators of machine reliability; frequency of maintenance and repair of machines, restoration of working parts; information about the labor intensity of maintenance and repair of machines, restoration of working parts; diagrams of assembly-disassembly of mechanisms, restoration of working parts; typical failures and sequence of their elimination; criteria of limiting condition; technologies of restoration of working parts; information on storage requirements
Finger Hold Guided Imagery Relaxation Techniques Can Reduce Dysmenorrhoea
Authors: Yunita Yunita , Idhayanti Ribkha Itha , Tunggadewi Christin Hiyana
Published: March 2023

Background: During menstruation, teenagers often experience pain, which is known as dysmenorrhea. In most cases, dysmenorrhea is very uncomfortable for adolescents in carrying out daily activities. So it is necessary to intervene in the form of relaxation techniques to reduce the scale of pain in the dysmenorrhoea. The relaxation technique taken is the finger grip relaxation technique. This study to determine the effect of finger hold guided imagery relaxation technique intervention to reducing primary dysmenorrheascale in adolescents.

Methods: The type of this research is Quasy experimental One Group Pretest Posttest research design. The measurement instrument used is finger hold guided imagery relaxation SOP and observation sheet. a total sampling was applied with 33 respondents.

Result: There is a significant effect of finger hold guided imagery relaxation technique intervention. This is evidenced by the results of the Wilcoxon test with p value < 0.05. Strenghtenend by the results of z count of -5.062 and z table -1.645, z count > z table.

Conclusion: Finger hold guided relaxation technique imagery is recommended for teenagers who have dysmenorrhea
The Effectiveness Of Toothbrushing Using Chlorhexidine Gluconate 0.2% On Ventilator Associated Pneumonia (Vap)
Authors: Prabowo Ridho Kunto , Irmawati Novi Dwi
Published: March 2023

Background: Ventilator-Associated Pneumonia (VAP) can cause the patient's length of stay in the ICU to be prolonged and can cause infection so that if not treated, it can cause sepsis in patients who can eventually lead to death. Toothbrushing with the right frequency for patients, namely toothbrushing using 0.2% Chlorhexidine Gluconate liquid 2 times a day or 3 times a day, especially for intubated individuals, is essential to prevent the occurrence of Ventilator-Associated Pneumonia. The purpose of this study was to determine the difference in the effectiveness of toothbrushing using 0.2% chlorhexidine gluconate, three times a day and twice a day on the incidence of Ventilator-Associated Pneumonia.

Methods: This study is quantitative research with a descriptive approach with a quasi-experimental method with a post-test only non-equivalent control group design. The sampling technique used purposive sampling, with a total sample of 16 patients who were toothbrushed twice a day and 16 patients who were toothbrushed 3 times a day. The instrument used to assess VAP incidence was an observation sheet consisting of a Clinical Pulmonary Infection Score measurement result sheet.

Results: The results showed that the effectiveness of tooth brushing using chlorhexidine gluconate 0.2% with a frequency of 2 times a day was 81.3%, and a frequency of 3 times a day was 75%. Data analysis using chi-square showed p-value = 0.500.

Conclusion: there is no difference between the effectiveness of toothbrushing using 0.2% chlorhexidine gluconate with a frequency of 2 times a day or 3 times a day. It is recommended that ICU nurses perform toothbrushing using 0.2% chlorhexidine gluconate fluid routinely, either 2 times a day or 3 times a day in patients on a ventilator.
An alternative second performance of contrast-enhanced ultrasound for large focal liver lesion is necessary for sufficient characterization
Authors: Wang Yang , Wu Size
Published: March 2023

Focal liver lesions (FFLs) evaluated using contrast-enhanced ultrasound (CEUS) and contrast-enhanced computed tomography (CECT) may have the same or similar findings or substantial discrepant findings. Such phenomenon can be found in two performances of CEUS that the second performance of CEUS conducted shortly following the initial performance of CEUS. Discrepancy of two performances of CEUS for FFLs occurring in the same patient at a short internal has not been well addressed, which raises challenge for CEUS for the evaluation of FFLs. In this case study, such phenomenon is illustrated and implication is obtained.
Cyber security threats in IoT: A review
Authors: Rana Pragati , Patil B.P.
Published: March 2023

The Internet of Things (IoT) is the most secure platform for making human existence easier and more comfortable. IoT has made a big contribution to a variety of software programs. The rapid proliferation of smart devices, as well as their trust in data transfer and the use of Wi-Fi mechanics, has increased their vulnerability to cyber-attacks. As a result, the cost of cybercrime is rising every day. As a result, investigating IoT security threats and possible countermeasures can assist researchers in creating acceptable ways to deal with a variety of stressful scenarios in cybercrime research. The IoT framework, as well as IoT architecture, protocols, and technology, are all covered in this assessment research. Various protection issues at each tier, as well as correction strategies, are also detailed. In addition, this article discusses the use of IoT forensics in cybercrime investigations in a variety of areas, including cybercrime research, Artificial intelligence, system learning, cloud computing, fog computing, and blockchain technology all play a role in this discussion. Finally, some open research on challenging situations in IoT is detailed to enhance cybercrime investigations, providing a cutting-edge course for future research.
A study on community detection in multilayer networks
Authors: Katakamsetty Venkatakrishna Rao , Rajani D. , Srikanth P.
Published: March 2023

Studying complex networks is essential for a better understanding of network science. Many studies have been done on single-layer networks in complex networks. After the advancement and widespread usage of the internet and social media networks, performing community detection in multilayer networks becomes essential to reach more people and work with different personalities on different platforms. Motivated by this observation, this paper has studied types of networks, metrics, measures, and community detection using deep learning-based models in multilayer networks. This survey can play a significant role in analyzing and understanding multilayer networks.
Supplier evaluation and selection in a sustainable supply chain based on fuzzy-BWM, entropy method and grey relational TOPSIS
Authors: Liu Biyu , Chen Ting , Yang Haidong , Segerstedt Anders
Published: March 2023

Suppliers significantly affect the effectiveness of sustainable supply chain management. Hence, it is extremely important to evaluate and select suppliers scientifically and objectively. Based on the theory of triple bottom line (economic, social, and environmental dimension) and a balanced scorecard, a measureable supplier evaluation framework in a sustainable supply chain is first formulated. Second, to reduce the defects of the single weight method, the subjective and objective weights of evaluation indicators are determined by combining the fuzzy best-worst method (BWM) and the entropy method, and then the combination weights are obtained through linear weighting. Third, the grey relational technique for order performance by similarity to ideal solution (TOPSIS) method is further adopted to evaluate and rank the suppliers. Finally, a case study illustrates and demonstrates the availability of the proposed supplier evaluation index system and evaluation method. Subsequently, some suggestions are proposed according to the results.
Emotion classification using EEG signal for women safety application based on deep learning
Authors: Shanmuga Priya K. , Vasanthi S.
Published: March 2023

An emotion is a conscious logical response that varies for different situations in women’s life. These mental responses are caused by physiological, cognitive, and behavioral changes. Gender-based violence undermines the participation of women in decision-making, resulting in a decline in their quality of life. More accurate and automatic classification of women’s emotions can enhance human-computer interfaces and security in real time. There are some wearable technologies and mobile applications that claim to ensure the safety of women. However, they rely on limited social action and are ineffective at ensuring women’s safety when and where it is needed. In this work, a novel CDB-LSTM network has been proposed to accurately classify the emotions of women in seven different classes. The electroencephalogram (EEG) offers non-radioactive methods of identifying emotions. Initially, the EEG signals are preprocessed and they are converted into images via Time-Frequency Representation (TPR). A smoothed pseudo-Wigner-Ville distribution (SPWVD) is employed to convert the EEG time-domain signals into input images. Consequently, these converted images are given as input to the Convolutional Deep Belief Network (CDBN) for extracting the most relevant features. Finally, Bi-directional LSTM is used for classifying the emotions of women into seven classes namely: happy, relax, sad, fear, anxiety, anger, and stress. The proposed CDB-LSTM network preserves the high accuracy range of 97.27% in the validation phase. The proposed CDB-LSTM network improves the overall accuracy by 6.20% 32.98% 6.85% and 3.30% better than CNN-LSTM, Multi-domain feature fusion model, GCNN-LSTM and CNN with SVM and DT respectively.