bluuebunny/crossref_metadata_2025 huggingface dataset:
Klasifikasi Kadar Kolesterol Menggunakan Ekstraksi Ciri Moment Invariant dan Algoritma K-Nearest Neighbor (KNN)
Authors: Nurhusni Sekar Arum , Adam Riza Ibnu , Carudin Carudin
Published: March 2022

Kolesterol adalah lemak yang sebagian besar di bentuk oleh tubuh sendiri terutama dalam hati. Kolesterol sangat berguna bagi tubuh akan tetapi akan sangat berbahaya apabila memiliki kadar yang berlebihan. Dampak dari kolesterol yang berlebihan yaitu timbulnya penyakit-penyakit berbahaya yang mematikan sepetti jantung, stroke dan buruknya sirkulasi darah yang meningkat. Pada penelitian ini akan menerapkan salah satu ilmu kedokteran yang dapat di gunakan dalam mendeteksi kadar kolesterol yaitu Iridologi. Iridologi ini sendiri dapat diterapkan dalam ilmu komputer yang sering di sebut sebagai Pengolahan Citra Digital. Yang dalam hal ini akan di gunakan metode pengenalan ciri menggunakan ekstraksi ciri Moment Invariant dan Algoritma K-Nearest Neighbor. Dimana data yang digunakan yaitu Dataset dari Ubiris V1. Dengan akurasi yang didapatkan yaitu 84.8485%.
The effect of gel with liposomes contaning encapsulated potassium orotate on skin regeneration processes in animals
Authors: Mosyagin V.V. , Ryzhkova G.F.
Published: March 2022

At the Department of Physiology and Chemistry named after Professor A.A. Sysoev, a wound-healing gel with liposomes containing a compound of iodine with polyvinyl alcohol as an antiseptic component, "Liposomide", was developed and obtained. The gel has antiseptic, antiviral, fungicidal and regenerating effects; it leads to more effective healing of wounds of various etiologies and the formation of a better quality scar compared to other drugs used for these purposes. Liposomes serve as nanocontainers for the transport of drugs (in our case, potassium orotate) into tissue cells; at the same time, the maximum wound healing effect is achieved with a minimum dose of drugs. Liposomes deliver the active substance to the cells, in response to this they synthesize and secrete cytokines - an extensive family of biologically active peptides secreted by various cells of the body: T- and B- lymphocytes, monocytes, macrophages, endotheliocytes, fibroplasts, epithelial cells and many others. With their help, cells interact with each other, as well as with other cells within and outside the immune system. In particular, the cells secrete vascular endothelial growth factor - VEGF - cytokine, which accelerates the processes of tissue regeneration and ensures the growth of blood vessels in them. As a result of laboratory tests of the wound-healing gel "Liplsomid" on models of castration wounds in rats, it was found that the drug has 3-5 times greater regenerating ability than the oflomelid ointment used in the control group of animals. The use of Liposomid gel for the healing of post-gastric wounds in piglets also confirmed its higher efficiency in production conditions compared to the Monclavit -1 preparation used in the control group of animals.
The Impact of Materials Management on Profitability of Manufacturing Companies in Ethiopia: The Case of Walia Steel Industry PLC
Authors: Jagadish Brahma Goulap  , Yohannes Workeaferahu Elifneh  , Abera Zerihun Belew
Published: March 2022

Recently, in the dramatically growing digital world, the management of materials plays a critical role in the profitability of manufacturing companies. This study focuses on the impact of materials management on profitability of manufacturing companies in Ethiopia with a particular reference to Walia Steel Industry PLC. The main objective of the study is to detect the problems of materials management that can result in achieving organizational profitability if corrected properly. Relevant data was gathered through self-administered structured questionnaires and open-ended questions and analysis was made based on primary data generated via five point Likert scale using SPSS version 23. A cross-sectional data model was used in the study. The study adopted both explanatory and descriptive research designs in integration with commonly used mixed research methods. Validity and reliability of the study was also tested using SPSS V-23. The findings revealed that there was positive and significant association between effective materials management dimensions and firm’s profitability which was supported by interdepartmental collaboration among materials related departments such as inventory, procurement and storage managements. The main problems faced in materials management of the selected steel industry includes the shortage of raw materials due to foreign currency problem and COVID-19 pandemic, shortage of skilled personnel, unsteady power supply, weak materials management practices due to weak interdepartmental coordination of the firm. The role and benefits of materials management dimensions should be examined and outlined for further investigation. Recommendations were made for the focal firm to make the materials management system to be computerized, to arrange training programs, to hire skilled personnel and to arrange employee’s motivation system. Recommendations also made for the government to provide adequate infrastructures such as available domestic raw materials, steady power supply, and sufficient water supply and so on to assist manufacturing firms.
Keywords: Materials Management, Procurement Management, Inventory Management, Storage           Management, Interdepartmental Collaboration, Organizational Profitability
Camera-Based Intelligent Stream Stage Sensing for Decentralized Environmental Monitoring
Authors: Sermet Yusuf , Demir Ibrahim
Published: March 2022

On average, flood damages cost $4.4 billion in the US annually. Accurate, vast, and real-time coverage of water level monitoring is crucial for the advancement of environmental research, specifically in the areas of climate change, water distribution, and natural disaster preparedness and management. According to a 2018 EPA report, there are 2.7 million streams and associated watersheds in the US with an inadequate monitoring network of just 8,300 sensors. Hence, the current state of water monitoring requires an immediate solution to produce low-cost and accurate water level measurement sensors. This research presents a novel methodology for intelligent stream stage measurement that utilizes prevalent sensors commonly found in smart devices. The methodology creates a distinct opportunity for a low-cost camera-based embedded system that will measure water levels and share surveys to support environmental monitoring and decision-making. Presented intelligent stage sensing is implemented as an in-situ installation of a complete single-board computer (i.e., a stand-alone sensor), which utilizes a registry of structures and points of interest (POI) along with the core modules of the application logic: (1) deep-learning powered water segmentation module and (2) geometric POI calculation module. The implementation relies on a Raspberry Pi with a motorized camera for automated measurements and is supported by a PID controller and multiprocessing. For future work, the involvement of the camera supports further use cases such as recognizing objects (e.g., debris, trees, humans, boats) on the water surface using artificial intelligence and image processing. In addition, the method shown can be made into a progressive web application (PWA) that can be used on smartphones to allow crowdsourced citizen science applications for environmental monitoring.
Acting on Sustainable Development Goal (SDG) synergies and trade-offs requires policy-focused systems tools
Authors: Moallemi Enayat A. , Hosseini Seyed Hossein , Eker Sibel , Gao Lei , Bertone Edoardo , Szetey Katrina , Bryan Brett A.
Published: March 2022

Achieving the Sustainable Development Goals (SDGs) is contingent on managing complex interactions that create synergies and trade-offs between different goals. Given the importance of interactions, it is necessary to understand the system mechanisms underpinning them to provide insight into their non-linear behaviours such as side-effects, delay, and acceleration. Prominent methods of SDG analysis that focus on sector-specific modelling or data-driven statistical correlation are insufficient for presenting an integrated view of interactions among many goals. These methods are also often too technically complex or heavily data-driven to provide decision-makers with a simple practical tool and easily actionable and understandable results. To address this gap, we introduce a systems approach for analysing the SDGs that generalises a number of recurring interactions with unique structures and behaviours termed archetypes. We present eight interaction archetypes as thinking aids to conceptualise and analyse some of the important synergies and trade-offs, supported by several empirical studies related to the SDGs (e.g., poverty, food, well-being, water, energy, housing, climate, land-use). We also discuss how this approach can be operationalised in practice and what opportunities and challenges are ahead. Interaction archetype analysis advances sustainability science by giving researchers and policy-makers a diagnostic tool to identify fundamental mechanisms of barriers or policy resistance to SDG achievement, a comparative tool that can enhance knowledge transfer about the SDGs between different cases which share similar causal characteristics in a more coordinated way, and a prospective tool to design synergistic and transformational solutions for sustainable development.
A two-stage Bayesian sequential assessment of exploratory hypotheses
Authors: Stefan Angelika Marlene , Lengersdorff Lukas , Wagenmakers Eric-Jan
Published: March 2022

A clear separation between exploratory and confirmatory is vital for ensuring the credibility of research. In this preprint, we present a two-stage Bayesian sequential procedure that combines a maximum of exploratory freedom in the first stage with a strictly confirmatory regimen in the second stage, while allowing for flexible sampling schemes and a statistically coherent carry-over of information.
Adjusting for Publication Bias Reveals That Evidence for and Size of Construal Level Theory Effects is Substantially Overestimated
Authors: Maier Maximilian , Bartoš František , Oh Megan , Wagenmakers Eric-Jan , Shanks David , Harris Adam John Linton
Published: March 2022

Construal Level Theory (CLT) is one of the major foundational theories in social cognition. However, the few replication studies available indicate a mixed pattern regarding the evidence supporting this theory. This article assesses the credibility of CLT more widely by using publication bias correction techniques. First, we reanalyse the largest and most recent meta-analysis on CLT using a `RoBMA (robust Bayesian meta-analysis) multiverse' approach with 12 different model specifications. We find strong evidence for publication bias across all 12 models, which has inflated previous effect size estimates. Moreover, the majority of these model specifications show evidence against CLT effects. Second, we use a sequential meta-analysis to assess evidence in favor of CLT in more recent studies, again finding evidence of publication bias. Third, we conduct a z-curve analysis to assess the recent literature, which indicates a strong mismatch between observed and expected discovery rates. These analyses call into question the evidence underlying CLT and highlight the pressing need for replications in the form of high-powered registered reports.
Using machine learning to identify early predictors of adolescent emotion regulation development
Authors: Van Lissa Caspar J. , Beinhauer Lukas Joscha , Branje Susan , Meeus Wim
Published: March 2022

This paper set out to identify the most important early early predictors of emotion regulation development from many (87) candidates using the machine learning algorithm SEM forests. Candidate predictors were selected based on a prior text mining systematic review of 6305 papers. Participants were 497 Dutch adolescents. Predictors were assessed at age 13, and emotion regulation development from age 14-18 was described using a quadratic latent trajectory model. SEM-forests were used to group adolescents with similar trajectories, based on their scores on the predictors. This person-centered approach not only identifies groups of adolescents with similar trajectories, but also indicates why some adolescents follow similar trajectories. The results indicated that individual differences (e.g., in personality) and conflict behaviors in relationships with parents and friends, and internalizing and externalizing were important early predictors. Less important were parenting behaviors, except autonomy support and invasive parenting, bullying and victimization, delinquent peers, and substance use. The implications of these findings for theory formation and intervention are discussed, and we present an open source risk assessment tool, ERRATA.
SOLIDARITY TOURISM - How can tourism help the Ukraine and other war-torn countries?
Authors: Dolnicar Sara , McCabe Scott
Published: March 2022

While the current Russian conflict in Ukraine is not the only international arena of conflict, its global visibility has triggered a movement for peace among ordinary people globally, including –most courageously– Russia and Belarus. People going to the streets and demanding peace played no minor part in pushing their elected leaders to commit to assisting the people of Ukraine in defending their country. How can this determination of ordinary people to assist the Ukraine, their solidarity with Ukrainians, be channelled to help the Ukraine and other war-torn countries in time of immediate need and, later, during their economic recovery? We encourage tourism scholars to design tangible solutions; action plans for government, industry and tourists to help the Ukraine and other war-torn destinations.
Blockchain-based application at a governmental level: Disruption or illusion? The case of Estonia
Authors: Semenzin Silvia , Rozas David , Collado Samer Hassan
Published: March 2022

Blockchain technology enables new kinds of decentralized systems. Thus, it has often been advocated as a 'disruptive' technology that could have the potentiality of reshaping political, economic and social relations, "solving" problems like corruption, power centralization and distrust towards political institutions. Blockchain has been gradually gaining attention beyond finance and is thus applied by a range of different actors. This includes local, regional, and national governments interested in the potentiality of experimenting with blockchain-supported governance. This article contributes to identifying blockchain as a contested socio-political object prone to contradictory political imaginaries regarding its potentialities, particularly when applied to policy. The article explores some of the most praised of blockchain's affordances (e.g. decentralization and transparency) in the context of Estonia, one of the most cited examples of blockchain governmental applications. Estonia has received international attention as the alleged first national infrastructure integrating blockchain. However, so far, few have asked: what kind of blockchain-based tools have been built by the Estonian government in practice and why? And to what extent do blockchain-based governmental applications reflect the original promises of disruption of the crypto-community? This article draws on a qualitative approach to explore several blockchain-based socio-technical objects to identify the narratives that have emerged in Estonia. The research shows clear contrasting views between stakeholders and technical experts from inside and outside the institutional sphere. The conflict revolves around two different social imaginaries associated with permissioned vs public blockchains. The paper concludes with an analysis of the profound political implications of each vision.
Interested but Uncertain: Carbon markets and data sharing among US row crop farmers
Authors: Niles Meredith , Han Guang
Published: March 2022

The potential for farmers and agriculture to sequester carbon and contribute to global climate change goals is widely discussed, including more recently, through voluntary carbon markets operated through private or public entities. Despite growing interest, there is currently low participation in agricultural carbon markets and limited understanding of farmer perceptions and willingness to participate. Furthermore, farmer concern for data privacy may complicate participation in agricultural carbon markets that necessitates farmer data sharing with multiple entities. Here we address these current gaps through a farmer survey of row crop farmers in 27 U.S. states and use multinomial logit models to predict drivers for participating in a carbon market. We find that the majority of farmers are aware of carbon markets and would like to sell carbon credits, but express high uncertainty about carbon market information, policies, markets and cost impacts. Just over half of farmers indicated they would share their data for education (57%), developing tools and models (54%) and improving market and supply chains (51%). However, only a minority of respondents were willing to share their data with public organizations (45%), private organizations (38%), and government organizations (29%). Farmers that wanted to participate in carbon markets (as compared to those that did not), were more likely to have higher farm revenues, identify as Black, Indigenous, People of Color (BIPOC) farmers, be more likely to share their data with private organizations, more likely to change farming practices, and have more positive perceptions of the impact of carbon markets on farm profitability. These results suggest a general interest in carbon market participation, but identify clear need for increasing technical information for farmers, and addressing farmer concerns around data privacy and sharing to facilitate greater participation in carbon markets.
Consumption changes in pandemic COVID-19 context (Review)
Authors:   INION RAN, Korovnikova Natalia
Published: March 2022

The article discusses changes in consumer preferences of the population in the context of the COVID-19 pandemic. A positive trend of responsible consumption is discussed. Noticeable patterns of social adaptation and consumption among generation Z are listed.
Disability Stigma and Discrimination in Nepal: A Study of Pokhara Metropolitan City
Authors: Aryal Ram Prasad , Aryal Badri
Published: March 2022

Stigma and discrimination attached to disability are not new phenomenon in Nepal. People, irrespective of disability status, have been aware of these phenomena since long history of human kind from socio-cultural perspectives prevalent in Nepalese society. In this context, people with disability have been facing stigma and discrimination in their family and society. There are tremendous disruptions in attaining quality of life of the people. However, there is a dearth of such studies attached to disability, especially in the present contexts of socio-cultural transformation and era of assistive devices. This study focuses on root causes of disability stigma and discrimination in people with disability in Pokhara Metropolitan City. It adopts qualitative research approach, following in-depth interview to people with disability using semi-structured questionnaires in the city. This study investigated that there are heavily loaded stigma and discrimination in people with disability, especially in women in-migrants in their place of origin. It concludes that gender, caste, class, and residence are intrinsically linked with the daily lives of the people. This study has important policy implications in reducing stigma and discrimination, and in attaining quality of lives of the people.
Prevalence and Determinants of Anaemia among Women aged 15-49 in Nepal: A Trend Analysis from Nepal Demographic and Health Surveys from 2006 to 2016
Authors: Acharya Devaraj , Adhikari Ramesh , Simkhada Padam
Published: March 2022

Anaemia remains one of the major health problems throughout the world and is most common in underdeveloped or developing countries like Nepal. Most of the studies have presented and analysed the situation on a particular time basis that could be by chance. The paper intended to assess the trends of anaemia prevalence amongst reproductive-age women throughout the decade using nationally representative data. The study used the data from recent three Nepal Demographic and Health Surveys (NDHS) 2006, 2011, and 2016. More than one third (36%, 35%, and 41% in NDHS 2006/2011/2016 respectively) of women of reproductive age were anaemic. Data showed inconsistent trends of anaemia prevalence among the surveys years. The situation of anaemia has not been improved. It was even worse in the latest NDHS 2016. Policymakers should reconsider, re-evaluate, and revise the intervention programmes applied to reduce anaemia.
Varijabilnost hrasta lužnjaka (Quercus robur L.) u bosanskohercegovačkom testu provenijencija
Authors: Ballian Dalibor , , Memišević Hodžić Mirzeta
Published: March 2022

U testu provenijencija hrasta lužnjaka (Quercus robur L.) u Bosni i Hercegovini koji je osnovan 2009. godine istraživana je varijabilnost visina biljaka i promjera vrata korijena na biljkama iz 27 provenijencija. Osim toga, analizirane su i korelacije između visina stabala i promjera vrata korijena s morfološkim svojstvima listova iz prirodnih populacija. Sjeme za osnivanje testova provenijencija, kao i listovi koji su korišteni u morfometrijskoj analizi, sakupljeni su u istim populacijama. Provedenim istraživanjima utvrđene su statistički značajne razlike za svojstvo visine i promjera vrata korijena. Varijabilnost je potvrđena i Duncan-ovim testom, i to na način da su biljke s obzirom na svojstvo visina grupirane u 11 skupina te s obzirom na svojstvo promjer vrata korijena u četiri skupine. Klasterskom analizom nije utvrđeno grupiranje populacija s obzirom na geografske i ekološke udaljenosti populacija. Korelacijskom analizom potvrđena je statistički značajna povezanost između visine biljaka i promjera vrata korijena te između morfoloških svojstava listova i visine biljaka i promjera vrata korijena. Dobiveni rezultati upućuju na to da se na temelju određenih morfoloških svojstava može provoditi selekcija provenijencija u mlađim fazama razvoja.
Être dansés. Technomagie, culture électronique et socialité après l’humanisme
Authors: Susca Vincenzo
Published: March 2022

Les relations issues des paysages médiatiques contemporains, dont la danse techno née à Detroit dans les années 80 est une expression tant emblématique que radicale, révèlent de la part du corps social une capacité à associer ce qui est séparé dans le temps et l’espace qui appartenait jusqu’alors aux ordres spirituels et transcendants. Cet imaginaire modifie le rapport moderne entre technique et société selon un paradigme qui pourrait être nommé « technomagie ». « technomagique ». Les communions aux nuances païennes célébrées par les nouveaux rites des médias en ligne et dans le cadre des scènes technos alimentent une forme de croyance fondée sur le partage d’un secret, d’un ordre émotionnel et d’un style de vie communautaire, ou basé sur le commun, dans le cadre d’une joie tragique où l’individu, enveloppé dans une matrice technosociétale, se perd dans quelque chose de plus grand que soi. Il y a là les premières ébauches d’une nouvelle chair aux allures posthumaines, explorée dans cet article au prisme de la sociologie de l’imaginaire et des sciences de la communication.
Notes From the Guest Editors
Authors: Young Michelle D. , Fuller Edward J.
Published: March 2022

This introduction to the special issue on the role of trust in school relations provides a clear message: Developing trust and trusting relationships within the school community is more important now than ever. It argues that trust and trusting relationships are a necessary component to effective schooling in today’s diverse society, regardless of the school community or the level of schooling considered. After providing a brief overview of each article included in the special issue, the introduction concludes by situating the issue of trusting relationships within the realm of school public relations.
Cultivating Trust Among Urban Youth at Risk
Authors: Owens Michael A. , Johnson Bob L.
Published: March 2022

By examining data from interviews with students in the Upward Bound program (a federally sponsored program that provides academic support to students at risk who are preparing for college entrance), this study seeks to strengthen an understanding of the role of trust among urban youth at risk in the educational organizations that serve them. This work makes a unique contribution to the work of school public relations by highlighting the perspectives of urban students at risk on the role of trust in their educational organization. This qualitative piece uses data from a study of student participation in leadership, and it uses interviews, observations, and document analysis of participants and informants to build an understanding of the role of trust among urban youth at risk in educational organizations. Participants included 20 recent high school graduates enrolled in the summer Bridge Program of Upward Bound at a university in a midsize city. Students provided important insights into the role of trust. Some facets of trust (e.g., benevolence, honesty, openness, reliability, and competence) emerged from the interviews providing empirical support for recent theoretical work on the concept. For students, establishing and maintaining trust with each other, with faculty, and especially with staff members contributed to their decisions to help the Upward Bound program meet its purpose of motivating students to graduate from high school and enter college. Educational administrators in academic support programs and schools whose students benefit from these programs serving urban youth at risk will benefit from making efforts to forge trusting personal relationships with the students, parents, and other community members within students’ spheres of influence. Findings from this study suggest that urban students at risk may already view themselves as being capable of working with educational organizations that are willing to share power and flatten hierarchies.
Fotografias e levantes em Pernambuco: o acervo do Museu da Cidade do Recife
Authors: Barbosa Lins Marcela , Benzaquen Guilherme Figueredo
Published: March 2022

Partindo de reflexões acerca de uma política da imagem e do levante em Didi-Huberman, o artigo apresenta uma pesquisa feita no acervo iconográfico do Museu da Cidade do Recife. O principal objetivo foi investigar as imagens de resistências e de processos políticos em Pernambuco. Percebeu-se que os levantes aparecem como índices que remetem a acontecimentos e processos importantes para a história local. Ademais, as imagens constituem nossos levantes passados, presentes e porvir.
Fotografias da crise da democracia: rearranjos da exposição Democracia em Disputa
Authors: Santos Caio Dayrell , Altheman Francine
Published: March 2022

Democracia em Disputa é uma exposição fotográfica e itinerante sobre as diferentes guinadas e atravessamentos que marcaram a história da democracia no Brasil nas últimas sete décadas. Quando lidas em seu conjunto, as fotos traduzem a tese de Leonardo Avritzer (2018) de um “movimento pendular da democracia brasileira”, isto é, a ideia de uma oscilação entre períodos de regressão e expansão democrática. As imagens refletem o papel da polarização na crise atual da democracia brasileira.
Detrital zircon U-Pb geochronology of the Ordovician Lander Sandstone, Bighorn Mountains, Wyoming
Authors: McGuire Joseph D , Craddock John P. , Malone David H. , Malone Shawn J.
Published: March 2022

The Ordovician Lander Sandstone, which occurs unconformably above the Cambrian Gallatin Limestone and beneath the Bighorn Dolomite, occurs in the Bighorn, Powder, and Wind River basins of Wyoming. The Lander ranges from 0-10 m in thickness and consists of texturally and compositional mature, cross bedded quartz arenite. This study uses detrital zircon U-Pb geochronology to elucidate its provenance. Samples were collected from two localities along the eastern flank of the Bighorn Mountains near Buffalo, Wyoming: a roadcut on US 16 just west of the Clear Creek thrust and from along Crazy Woman Canyon Road. The results showed a statistical similarity between the two samples, and that zircon ages are predominantly Proterozoic in age (~75%) while the minority ages were Archean (25%). Probability density plots of the two-source areas show that the peak ages for Crazy Woman Canyon (n=90) are ~1840, 2075 and 2695 Ma and the US 16 peak ages (n=141) are ~1825, 2075, and 2725 Ma. The detrital zircon age spectra for these samples indicate that the Lander was not derived from local Archean basement and was not recycled from the underlying Cambrian. The Lander has a provenance in either the Trans-Hudson Province and adjacent rocks in present day Saskatchewan and Manitoba more than 1000 km to the north or from the Peace River Arch, an early Paleozoic highlands in northwestern Alberta and northeastern British Columbia. The Lander zircons have a similar provenance to eolian zircons in the Bighorn Dolomite and to other Ordovician sandstones on the Cordilleran Continental margin and central Idaho. The Lander provenance is distinct from the Ordovician St. Peter Sandstone, which occurs extensively east of the Transcontinental Arch. We interpret that the Lander was derived on the late Ordovician shoreline, and then transported via prevailing winds across the Laurentian shelf from east to west during sea level low stand, and then distributed throughout the shelf by currents.
Oxidative Status and Insulin Resistance in Diabetic Retinopathy: Effect of Natural Antioxidants
Authors: Banerjee Souvik , Goswami Krishnajyoti , Bandyopadhyay Asok , Maity Chittaranjan
Published: March 2022

The homeostatic model assessment (HOMA) Index was found to be increased both in uncomplicated diabetes mellitus and in diabetic retinopathy indicating the degrees of insulin resistance. Malondialdehyde as a biomarker for oxidative stress has also been found in these groups with a decreased tolerance to glucose load. When these groups were further analyzed and compared according to their insulin status, it was observed that hyperinsulinemia in diabetic retinopathy enhanced the level of oxidative stress with a decrease in plasma ascorbic acid and an increase of plasma dehydroascorbic acid level, paralleling the levels of malondialdehyde in these patients. The role of natural antioxidants e.g. ascorbic acid, Vitamin E and mixed carotenoids in lessening insulin has been discussed. It seems that ascorbic acid is a better antioxidant in comparison to other antioxidants in normalization of insulin resistance and glucose utilization. A persistent long-standing insulin resistance has been suggested as one of the responsible factors for vascular complications in diabetic retinopathy. Dehydroascorbic acid seems to be a better sensitive biomarker for oxidative stress.
Characterization of Rollinia mucosa(Jacq.) Baill) Fruit Ethanol Extract
Authors: Jubaidah Siti , Wijaya Heri , Mutmainah Aulia
Published: March 2022

Introduction: The srikaya malinau plant (Rollinia mucosa (Jacq.) Baill), is empirically used to treat the gastrointestinal tract, antipyretic, stamina enhancer, scabies medication and antimicrobial.Research on the efficacy and characteristics of malinau srikaya fruit extract to date has not been reported. Objective: determine the characterization and class of chemical compounds in the malinau srikaya fruit extract. This research is non-experimental research. The research phase includes sample collection, plant determination, making simplicia, extraction using maceration method with 70% ethanol as solvent. Results: The results of the extraction were characterized by organoleptic, water content, water soluble extract content, ethanol soluble extract content, ash content and acid insoluble ash content, then phytochemical screening was carried out. Data were analyzed using descriptive method. The results of the specific characterization of the organoleptic test of the extract have a thick consistency, blackish brown in colour, have a distinctive smell like soy sauce and have a bitter taste. The content of the extract was soluble in water 88%, the content of the extract was soluble in ethanol 77% and the results of the identification of phytochemical screening were known to contain flavonoids. The results of the non-specific characterization test determined the water content of 9%, ash content of 1.665% and acid insoluble ash content of 2.075%.
On the applicability of hardening mechanisms to low-carbon and low-alloy steels
Authors:   S. Seifullin Kazakh Agro Technical University, Nur-Sultan, Kazakhstan, Jaxymbetova M.A. , Kanayev A.T. ,   S. Seifullin Kazakh Agro Technical University, Nur-Sultan, Kazakhstan, Akhmedyanov A.U. ,   L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan, Kirgizbayeva K.Zh. ,   L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Published: March 2022

On the basis of experimental studies, the approximate contribution of various hardening mechanisms to the yield point of low-carbon and low-alloy steels is estimated. It has been established that for hot-rolled steels (St.3sp and St5ps), solid-solution and grain-boundary hardening (54.0% and 29.0, %) make the greatest contribution to the yield point. The predominant strengthening mechanism of low-alloy steel 10HNDP is solid solution, a high proportion of which in this steel is explained by the resistance to moving dislocations from the side of dissolved atoms of Ni, Cu, P, and Cr in α-Fe. In low-alloy steel 16G2AF, along with these hardening components, the role of precipitation hardening is noticeable (20.0%). It is shown that thermomechanical treatment of steel grade St.5ps leads to an increase in the value of dislocation hardening up to 27.0% due to an increase in the density of dislocations and the retention of most of the dislocations in the rolled stock during accelerated cooling of hot-deformed austenite. It is noted that solid solution hardening with alloying with cheap alloying elements (Mn, Si), as well as dislocation and dispersion hardening through the use of thermomechanical treatment in combination with the addition of carbide and nitride-forming elements V (C, N).
Deposition of carbonitride titanium coatings by magnetron sputtering and its effect on tribo-mechanical properties
Authors:   “Institute of Metallurgy and Ore Beneficiation” JSC, Mamayeva A.A. ,   Satbayev University, Almaty, Kazakhstan, Kenzhegulov A.K. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Almaty, Kazakhstan, Panichkin A.V. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Almaty, Kazakhstan, Kshibekova B.B. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Almaty, Kazakhstan, Bakhytuly N. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Almaty, Kazakhstan
Published: March 2022

Metal parts in machinery often fail as a result of damage caused by wear and tear, resulting in the loss of functionality of the products. Thin film solid nitride coatings are used to improve the wear resistance and service life of parts and are considered to be effective. The article presents a brief overview of modern literature in the field of obtaining wear resistant coatings of titanium carbonitride by using magnetron sputtering. The review presents a detailed assessment of the scientific results obtained depending on the deposition parameters and the conditions for obtaining coatings. The results of the coefficient of friction, wear rate of the coating and counterbody, nanohardness and adhesion force of coatings obtained by magnetron sputtering and its modifications are shown. The influence of alloying elements on the mechanical and tribological properties of titanium carbonitride coatings is considered. Recent advances in the production of titanium carbonitride coatings with improved wear characteristics are discussed.
"Welfare State" in Australia according to Gough Whitlam's Labor Government
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), Skorobogatykh Natalya
Published: March 2022

The article examines one of the most important aspects of Gough Whitlam Labor government activities in 1972–1975 – its social policy. Its main directions and the reasons for the short-lived rule of the ALP in the early 1970s are analyzed.
The 1963 Buddhist Crisis in South Vietnam: course of events and its nature. Part 2. The place of religion in the state building of the Republic of Vietnam
Authors:   Institute of Asian and African Studies, Lomonosov Moscow State University. Russia, Moscow, Syunnerberg Maxim
Published: March 2022

The author analyzes the place of religion in the government program of nation building unfolded in the Republic of Vietnam. The author questions the popular interpretation of the RV as a state that exclusively favors Catholicism and oppresses other religions, especially Buddhism. It demonstrates the role played in Central Vietnam by one of the president's brothers, Ngo Dinh Kan, who later became one of the key figures in the Buddhist crisis and was striving to extinguish the conflict as much as possible.
Traditions of Thai Studies in Russia. Part 1
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), Fomicheva Elena
Published: March 2022

Russian historiography has accumulated a significant amount of research on Thailand. These works are devoted to various problems of political, economic, cultural development of the country, foreign policy, Russian-Thai relations. It seems important to make available to all researchers and the interested public the most complete picture of scientific literature on Thailand. The author hopes to try to describe the state of Thai studies in Russia in a series of articles.
“The Beacon of Russia's Achievements” – 2021
Authors:   Institute of oriental studies, Russian academy of science (MOSCOW), Pale Sophia , Miklouho-Maclay Niсkolay ,   Institute of oriental studies, Russian academy of sciences (MOSCOW), Astafieva Ekaterina ,   Institute of oriental studies, Russian academy of sciences (MOSCOW)
Published: March 2022

The article provides an overview of the reports presented at four International Scientific & Practical Conferences Russia and Southeast Asia (Malaysia, Indonesia, Singapore and Cambodia) that took place online in November-December 2021. They were organized by the Miklukho-Maclay Foundation under the project The Beacon of Russia's Achievements managed by Nikolay N. Miklouho-Maclay, Head of the Center for the South Pacific Studies and Research Fellow at the Center for Southeast Asia, Australia and Oceania, Institute of Oriental Studies, RAS, Moscow, Russia; President of the All-Russian Association of the South Pacific Studies and Director of the Miklouho-Maclay Foundation, St. Petersburg, Russia. The conferences were attended by the scientists and representatives of practical organizations and government agencies from Russia and Southeast Asia.
A Novel Method for Developing Post-quantum Digital Signature Algorithms on Non-commutative Associative Algebras
Authors: Moldovyan Nikolay , Moldovyan Dmitriy , Moldovyan Alexandr
Published: March 2022

Introduction: Development of practical post-quantum signature algorithms is a current challenge in the area of cryptography. Recently, several candidates on post-quantum signature schemes, in which the exponentiation operations in a hidden commutative group contained in a non-commutative algebra is used, were proposed. Search for new mechanisms of using a hidden group, while developing signature schemes resistant to quantum attacks, is of significant practical interest. Purpose: Development of a new method for designing post-quantum signature algorithms on finite non-commutative associative algebras. Results: A novel method for developing digital signature algorithms on non-commutative algebras. A new four-dimensional finite non-commutative associative algebra set over the ground field GF(p) have been proposed as algebraic support of the signature algorithms. To provide a higher performance of the algorithm, in the introduced algebra the vector multiplication is defined by a sparse basis vector multiplication table. Study of the algebra structure has shown that it can be represented as a set of commutative subalgebras of three different types, which intersect exactly in the set of scalar vectors. Using the proposed method and introduced algebra, a new post-quantum signature scheme has been designed. The introduced method is characterized in using one of the elements of the signature (e, S) in form of the four-dimensional vector S that is computed as a masked product of two exponentiated elements G and H of a hidden commutative group: S = B-1GnHmC-1, where non-permutable vectors B and C are masking multipliers; the natural numbers n and m are calculated depending on the signed document M and public key. The pair  composes a minimum generator systems of the hidden group. The signature verification equation has the form R = (Y1SZ1)e(Y2SZ2)e2, where pairwise non-permutable vectors Y1, Z1, Y2, and Z2 are element of the public key and natural number e that is computed depending on the value M and the vector R. Practical relevance: Due to sufficiently small size of public key and signature and high, the developed digital signature scheme represents interest as a practical post-quantum signature algorithm. The introduced method is very attractive to develop a post-quantum digital signature standard.
PSIC3839: Predicting the Overall Emotion and Depth of Entire Songs
Authors: Xu Liang , Yun Zongyang , Sun Zaoyi , Wen Xin , Qin Xianan , Qian Xiuying
Published: March 2022

Music emotion recognition (MER) studies have made great progress in detecting the emotions of music segments and analyzing the emotional dynamics of songs. The overall emotion and depth information of entire songs may be more suitable for real-life applications in certain scenarios. This study focuses on recognizing the overall emotion and depth of entire songs. First, we constructed a public dataset containing 3839 popular songs in China (PSIC3839) by conducting an online experiment to collect the arousal, valence, and depth annotation of each song. Second, we used handcrafted feature-based method to predict the overall emotion and depth values. Support vector regressions using Mel frequency cepstrum coefficients features as inputs achieve good model performance (arousal: R2 = 0.609; valence: R2 = 0.354; and depth: R2 = 0.465). Finally, the groupwise and personalized results were also investigated by training a unique regressor for each group or individual, which provides a reference for future research.
Research on the Character Design of Non-Player in Rehabilitation Games
Authors: Geng Na , Wang Ying , Yu Huan , Zhou Jiajia
Published: March 2022

The design of reasonable reward mechanisms in exercise games aims to increase people’s intrinsic motivation to participate in the games for training so that they can persist for a long time and achieve exercise results. This study developed two game modes based on a prototype of an exercises game for a Kinect interactive device. Two reward mechanisms, in-game rewards and extrinsic rewards, were included in one of the game modes respectively. Twelve older subjects and twelve younger subjects were recruited to test the game. They rated the game using an intrinsic motivation scale. The results showed that young people who played the in-game reward mode scored higher on the motivation scale. In contrast to young people, older people had higher motivation levels when playing the extrinsic reward mode. The results highlight the variability in the effects of in-game and extrinsic rewards on intrinsic motivation across age groups and can help people better design reward mechanisms when developing exercise games.
Brand Construction of Rural Handicraft Based on Green Design Concept
Authors: Sun Huafeng , Wang Siqi , Fan Yunfei , Wo Chenwen , Zheng Linxin
Published: March 2022

This paper aims at exploring the feasible path of building rural handicraft brand under the concept of green design. Taking the intangible cultural heritage handicrafts in Sansui County, Qiandongnan, Guizhou Province as the core, the demand factors among craftsmen, left-behind laborers, designers, market and government were analyzed. Based on the green design concept, the brand of “Zhi Bu Zhi Zhu” was created in a green way. In the design practice, the pictures of cultural images with brand characteristics are collected as samples, and the symbols with the highest recognition of images are obtained through cultural image cognition experiments, which are applied to the brand design together with the symbols of brand personality elements. In today’s competitive market, the concept of green design is combined with brand building. Through brand green co-creation design, more social responsibilities and obligations are borne, and material reduction design and material substitution design are integrated into the whole brand process so as to create a green, natural and healthy rural handicraft brand, expand brand connotation and value and enhance brand market competitiveness.
How Rewards in Exercise Games Affect Intrinsic Motivation
Authors: Wang Ying , Li Yue-sheng , Chen Lin-lin
Published: March 2022

The design of reasonable reward mechanisms in exercise games aims to increase people’s intrinsic motivation to participate in the games for training so that they can persist for a long time and achieve exercise results. This study developed two game modes based on a prototype of an exercises game for a Kinect interactive device. Two reward mechanisms, in-game rewards and extrinsic rewards, were included in one of the game modes respectively. Twelve older subjects and twelve younger subjects were recruited to test the game. They rated the game using an intrinsic motivation scale. The results showed that young people who played the in-game reward mode scored higher on the motivation scale. In contrast to young people, older people had higher motivation levels when playing the extrinsic reward mode. The results highlight the variability in the effects of in-game and extrinsic rewards on intrinsic motivation across age groups and can help people better design reward mechanisms when developing exercise games.
Deep CNN for Static Indian Sign Language Digits Recognition
Authors: Eunice R Jennifer , Hemanth D Jude
Published: March 2022

Sign language recognition (SLR) is a significant solution for the hearing and speech disabled to connect with the people. However, SLR system faces complexities such as low accuracy, overfitting, hand occlusions, and high interclass similarities. In this paper, a deep learning-based Convolution Neural Network model is proposed for Sign language recognition to address the issues. Our model uses Indian Sign Language dataset which comprises 10 class with a total of 2072 static digit gestures ranging between 0 to 9. Each class has 207 images. The proposed model generated desired outcome and the results are evaluated with varied optimizers such as Adam, RMS Prop, Stochastic gradient descent (SGD) optimizers. CNN model with SGD achieved training and validation accuracy of 99.72% and 98.97% respectively. The training and validation loss were comparatively minimum for our model. Further, the performance evaluation of the proposed model was analyzed based on precision, recall, F-score value. Our method shows its effectiveness over other machine learning models with a recognition rate of 99%.