bluuebunny/crossref_metadata_2025 huggingface dataset:
Collaborative clinical reasoning: a scoping review
Authors: Lee Ching-Yi , Lai Hung-Yi , Lee Ching-Hsin , Chen Mi-Mi , YAU Sze-Yuen
Published: March 2023

  

Team approaches in healthcare settings is beneficial for maximising clinical outcomes and patient safety. A scoping review was undertaken to examine collaborative clinical reasoning (CCR) related studies in healthcare. Medline, PsychInfo, SciVerse Scopus, and Web of Science were searched to include full-text articles published between 2011 to 2020. Search terms included cooperative, collaborative, shared, team, collective, reasoning, problem solving, decision making, combined with clinical or medicine or medical, but excluded shared decision making. A total of 24 articles were identified in the review. Analysis of the articles resulted in four major content themes: (1) Decision-making process (n=14); (2) Quality assessment by MDTs-MODe (Multidisciplinary Team-Metric for the Observation of Decision Making; n=5) (3) CCR theory and definitions(n=3); and (4) Problem-solving process (n=2). Most articles focused on communication associated with collaborative decision-making processes. None provided direct evidence on the process of CCR or its impact on clinical outcomes. CCR describes the process of reaching a shared mental model where members in a healthcare team can arrive at a solution more efficiently by anticipating other members’ responses and needs. This evidence also suggests that team-based care has important implications for medical diagnosis and decision-making. Our results illuminate the necessity of further research in CCR, specifically with a focus on cognitive components of CCR. A better understanding of current CCR research in healthcare may inform future discussions around establishing strategies to enhance CCR development, and hence provide positive influence on medical education and patient safety.
“Serbophiles” and “Bulgarophiles”: VMRO-DPMNE Political Struggle at the Beginning of the 21st Century
Authors:   Saint Petersburg State University, Koloskov Evgenii
Published: March 2023

The subject of this research is the use of historical narratives in contemporary political struggle by the Internal Macedonian Revolutionary Organization - the Democratic Party for Macedonian National Unity, one of the two leading political forces in the Republic of North Macedonia. The author studied the stages of political struggle associated with splits in the party, the departure of the party founders from its ranks, and their subsequent pursuit of independent political projects. The focus is on the analysis of the discourses of “bulgarophilia” and “serbophilia” inside the party at the beginning of the twenty-first century. The author concludes that the significance of old historical narratives is preserved if they are used to mobilize the party and national electorate. The author also notes that such actions can not only undermine the level of the national political interaction, since, in fact, they are an element of negative campaigning, but it also creates tension in international relations in the region, as they directly appeal to neighboring countries, in this case to Serbia and Bulgaria.
Ion Iliescu: the Reluctant Revolutionary
Authors:   MGIMO University, Putintsev Igor
Published: March 2023

Ion Iliescu was the dominant figure in Romanian politics at the turn of the XX-XXI centuries. Despite his Communist past, he turned out to be the principal actor in December 1989 when socialism was overthrown in Romania. Having experienced many ups and downs in his career, he was considered an unbeatable politician who always managed to adapt easily to rapid change. His personality is still widely discussed in Romania. This chapter deals with his complex and controversial, but powerful, political image.
Corneliu Vadim Tudor and the Romanian Nationalists
Authors:   Institute of Scientific Information for Social Sciences, Bitkova Tatiana
Published: March 2023

The author analyses the activity and ideological heritage of one of the most influential and controversial politicians of modern Romania, who occupied a prominent place in the nationalist segment of the country's political life. The biography and worldview of Corneliu Vadim Tudor in the context of the general socio-economic situation and the internal political struggle between the 1990s and 2010s is examined. The author offers an overview of the right-wing radical organizations that emerged in the post-communist period. Special attention is paid to the program, actions, and evolution of the most successful of them, the Great Romania Party, of which C. V. Tudor was one of the main creators, organizers, and inspirers. Finally, a brief summary of the new nationalist formations that replaced the Great Romania Party, which found itself in a state of stagnation from the 2010s onward, is provided
Slobodan Milošević and the Myths of His Time
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Guskova Elena
Published: March 2023

This paper examines Slobodan Milošević, the political leader of Yugoslavia and Serbia, and his role in the collapse of the federation. Under his presidency, Yugoslavia collapsed, bloody wars swept the country, and the Serbian people were villainized in the Balkans, but he selflessly defended his people at The Hague Tribunal. Milošević as a politician developed under Josip Broz Tito, the leader of Yugoslavia. He firmly believed in the party and its hierarchy, the power of the word, the inviolability of power, and the unshakable authority of the leader. The West, until 1995, considered Milošević “the most powerful Serb in the former Yugoslavia”, responsible for the war in Croatia and Bosnia and Herzegovina. The author examines two themes that are common in the literature - Milošević's nationalism and that the cause of the Albanian uprising in Kosovo was the complete liquidation of the autonomy of the province in 1990.
Milo Đukanović and His Power System
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Smirnov Yakov
Published: March 2023

Milo Đukanović is one of the most prominent politicians in Southeastern Europe. Having worked his way from a leader of a youth communist organization to prime minister and then president of Montenegro within just a few years, he and his family became the richest people in the country. Skillfully manoeuvering in the wilds of the political life of Montenegro, Đukanović has continuously been at the wheel of the country for more than 30 years. The author aims to study the phenomenon of M. Đukanović and the system of power he created.
Alexis Tsipras: Formation of New Political Elites in Greece During the Financial and Economic Crisis
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Aleksandrova Anna
Published: March 2023

The author explores the evolution of the political views of A. Tsipras, the leader of the SYRIZA party, during the financial and economic crisis of the 2010s. The crisis led to drastic changes in Greek politics, concluding with the dissolution of the two-party system that had existed for almost four decades. SYRIZA started gaining immense popular support during the protests against the existing political elites which brought the country to the brink of bankruptcy, and against the neoliberal methods of the “troika” of creditors (the European Commission, the European Central Bank, and the International Monetary Fund), which demanded strict austerity measures. Tsipras' charisma, and his skillful use of populist rhetoric, played a significant part in the party's emergence as an important political actor. Initially a minor radical-left party, by 2012 SYRIZA had emerged as the major opposition party, and by 2015 it was in power. However, Tsipras was unable to fulfill one of his main promises to the electorate - to revise the hard terms of the agreement between the Greek government and the “troika”.
Viktor Orbán. Europe's Political Veteran
Authors: Lukyanov Fedor
Published: March 2023

Today, 58-year-old Viktor Orbán, the Hungarian Prime Minister, is one of the most prominent and charismatic leaders in Central and Southeast Europe. He is the political old-timer of the region with more than 30 years of experience behind him and almost 16 in power, and he remains at the political forefront of his country as head of the government. During his political career, his views have undergone a lasting and profound evolution from radical liberalism in his youth to the Christian democratic center, reflecting his maturation as a politician. During his 12 years at the head of the Hungarian government (2010-22), Hungary radically changed its economic policy, becoming one of the fastest developing countries in Europe with a GDP growth rate of 5-6 % per year. He is considered to be one of the leaders of the Eurosceptics, opposing the mondialist plans of globalists to turn the EU into a centralized United States of Europe to the detriment of the national sovereignty of EU member states, and he resists many initiatives of Brussels that have an anti-Christian orientation. In addition, Hungary has developed pragmatic relations with Russia, China, Turkey, and other countries of Eurasia within the framework of the new “Opening to the East” policy, which makes Orbán strikingly different from most leaders in the region.
Vladimír Mečiar and Mikuláš Dzurinda: Antipodes on the Slovak Political Scene
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Nikitin Viktor
Published: March 2023

The author, using parliamentary transcripts and government documents of the Slovak Republic in academic circulation for the first time, analyzes the activities of Vladimír Mečiar and Mikuláš Dzurinda as prime ministers. Their tenures were marked by both economic and industrial restoration, and by joining transatlantic structures. Proceeding from a comparative analysis of both politicians' activities, the researcher highlights Mečiar's significant accomplishments and Dzurinda's minor achievements.
The Parliamentary Stratum of the Political Class / Political Elite of the Republic of Albania and Its Assessments in the Country's National Discourse (1991-2021)
Authors:   Institute of World history, Russian Academy of Sciences, Ulunyan Artyom
Published: March 2023

The emergence and evolution of the new political elite of the Republic of Albania, especially its parliamentary stratum, in the post-communist period has displayed a number of characteristic features. Owing to a lack of political experience, the emerging informal bonds between politicians and the business community, and the still weak parliamentary corps in the early years of “pluralistic parliamentarism”, the whole formation process acquired a negative connotation in the national discourse which, in turn, seriously affected the public attitude towards the “elite”. Meanwhile, the most significant features of the elite's political profile became apparent during its development (taking into account the complexity of the very process of the Albanian political elite formation as a whole). These features include the length of the period in which the parliamentary elite, established on a party-ideological basis, took shape; the lack of expansion of this stratum to become the party bureaucracy; and its lack of readiness to adopt the principles of consensus as the characteristic feature of the established traditional parliamentary elite, that, despite division into party factions, nevertheless represents a single class / stratum...
Zhelyu Zhelev - a Dissident Philosopher and the First Democratically Elected President of Bulgaria
Authors:   Sofia University St. Kliment Ohridski, Bayeva Iskra
Published: March 2023

The author examines Zhelyu Zhelev's childhood and adolescence, during which he experienced historical upheavals in Bulgaria in the Second World War, and how he managed to tread the challenging path from country boy to philosophy student at Sofia University. Ideologically, he started with a strong belief in communism and in Stalin, which turned to great disappointment after Khrushchev succeeded Stalin. As an academician, Zhelev challenged Lenin's materialistic understanding of philosophy, which caused him political problems: a ban on defending his dissertation and publishing works, and compulsory relocation to the countryside from Sofia. These restrictions turned Zhelev into a dissident who began publicly speaking against the system. In 1988, he was one of the founders of several dissident organizations, which enabled him to become chairman of the first opposition organization, the Union of Democratic Forces (UDF), at the beginning of the transition. Zhelev was the most prominent opposition politician. He was elected president with the support of the socialists willing to share power with the opposition. Zhelev became the first president of the transition years and he supported the creation of the first UDF government. However, he later began criticising the government, which led to his conflict with the UDF and eventually to the end of his political career.
Photo-thermal tuning of graphene oxide films integrated with optical waveguides
Authors: Moss David
Published: March 2023

The power-sensitive photo-thermal tuning (PTT) of two-dimensional (2D) graphene oxide (GO) integrated on the top surface of silicon nitride (SiN) waveguides is experimentally investigated. For SiN waveguide coating with monolayer GO, the light power thresholds for reversible and permanent GO reduction are measured. There are three reduction stages identified based on the presence of reversible versus permanent reduction. We also compared the PTT induced by a continuous-wave laser and a pulsed laser with the same average power, confirming that the PTT is primarily determined by the average input power.
Traditional and Artificial Intelligence based techniques to measure trees: an overview
Authors: Candeias Catarina
Published: March 2023

To address the problem of climate changes, CO2 sequestration by forests should be assessed. Forests store carbon in their biomass- about half of it is carbon. The trees’ diameter, height and age are relevant parameters for forests’ biomass estimation. Various methods have been utilized to estimate forests’ biomass. Initially, field measurements using tape measures, clinometers and frequently a ruler were used. They are precise but limited to local scales. In contrast, remote sensing, like drones and satellites, can provide images at regional and global scales. They can use optical, radar or Light Detection and Ranging (LiDAR) sensors for this purpose. LiDAR is more accurate than optical or radar sensors. It is becoming incorporated in smartphones such as I-Phone 12. Mixed-reality devices also have emerged to involve people in forests mapping, in addition to existing tree measuring apps. Google Earth provides free and historical data, but does not offer hypespectral images required to properly estimate biomass. Drones perform three-dimensional terrain geometry, which is relevant to determine trees’ height. They are widely available today. Carbon captured by forests (and for other land use types) can be used to compensate forest growers and farmers, as they are contributing to mitigate climate change.
Two seismic events from InSight confirmed as new impacts on Mars
Authors: Daubar Ingrid , Fernando Benjamin , Garcia Raphael , Peter Grindrod , Zenhaeusern Geraldine , Wójcicka Natalia , Teanby Nicholas , Staehler Simon , Posiolova Lilia , Horleston Anna , Collins Gareth , Charalambous Constantinos , Clinton John , Banks Maria , lognonne Philippe , Panning Mark , Banerdt W. Bruce
Published: March 2023

We report confirmed impact sources for two seismic events on Mars detected by the NASA InSight mission. These events have been positively associated with fresh impact craters identified from orbital images, which match predicted locations and sizes, and have formation time constraints consistent with the seismic event dates. They are both of the Very High Frequency family of seismic events and display impact-acoustic chirps. This brings the total number of confirmed martian impact-related seismic events to eight thus far. All seismic events with chirp signals have now been confirmed as having been caused by impact cratering events. This includes all seismic activity within 100 km of the lander, and two out of the four events with source locations between 100-300 km distance.
TAT-HUM: Trajectory Analysis Toolkit for Human Movements in Python
Authors: Wang Xiaoye Michael , Welsh Timothy N.
Published: March 2023

Human movement trajectories can reveal useful insights regarding the underlying mechanisms of human behaviors. Extracting information from movement trajectories, however, could be challenging because of their complex and dynamic nature. The current paper presents a Python toolkit developed to help users analyze and extract meaningful information from the trajectories of discrete rapid aiming movements executed by humans. This toolkit uses various open-source Python libraries, such as NumPy and SciPy, and offers a collection of common functionalities to analyze movement trajectory data. To ensure flexibility and ease of use, this toolkit offers two approaches: an automated approach that processes raw data and generates relevant measures automatically, and a manual approach that allows users to selectively use different functions based on their specific needs. A behavioral experiment based on the spatial cueing paradigm was conducted to illustrate how one can use this toolkit in practice. Readers are encouraged to access the publicly available data and relevant analysis scripts as an opportunity to learn about kinematic analysis for human movements.
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes
Authors: Hawks Zoe , Beck Emorie D , Jung Laneé , Fonseca Luciana M , Sliwinski Martin , Weinstock Ruth S , Grinspoon Liz , Xu Irene , Strong Roger W. , Singh Shifali , Van Dongen Hans PA , Frumkin Madelyn , Bulger Jane , Cleveland Michael J. , Janess Kamille , Kudva Yogish , Pratley Richard , Rickels Michael , Rizvi Shafaq , Chaytor Naomi , Germine Laura
Published: March 2023

Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological limitations prevented researchers from understanding how naturally-occurring glucose fluctuations impact cognitive fluctuations. This study leveraged advances in continuous glucose monitoring (CGM) and cognitive ecological momentary assessment (EMA) to characterize dynamic, within-person associations between glucose and cognition in naturalistic environments. Using CGM and EMA, we obtained intensive longitudinal measurements of glucose and cognition (processing speed, sustained attention) in 200 adults with T1D. First, we used hierarchical Bayesian modeling to estimate dynamic, within-person associations between glucose and cognition. Consistent with laboratory studies, we hypothesized that cognitive performance would be reduced at low and high glucose, reflecting cognitive vulnerability to glucose fluctuations. Second, we used data-driven lasso regression to identify clinical characteristics that predicted individual differences in cognitive vulnerability to glucose fluctuations. Large glucose fluctuations were associated with slower and less accurate processing speed, although slight glucose elevations (relative to person-level means) were associated with faster processing speed. Glucose fluctuations were not related to sustained attention. Seven clinical characteristics predicted individual differences in cognitive vulnerability to glucose fluctuations: age, time in hypoglycemia, lifetime severe hypoglycemic events, microvascular complications, glucose variability, fatigue, and neck circumference. Results establish the impact of glucose on processing speed in naturalistic environments, suggest that minimizing glucose fluctuations is important for optimizing processing speed, and identify several clinical characteristics that may exacerbate cognitive vulnerability to glucose fluctuations.
LUCID DREAMS AND OUT-OF-BODY EXPERIENCES REPORTS: DIFFERENCES IN EMOTIONAL CONTENT, DREAM AWARENESS, AND DREAM CONTROL
Authors: Gallo Francisco T. , Herrero Nerea L. , Tommasel Antonela , Godoy Daniela , Spiousas Ignacio , Rolín Miguel Gasca , Ramele Rodrigo , Gleiser Pablo M , Forcato Cecilia
Published: March 2023

Lucid dreams (LDs) and out-of-body experiences (OBEs) are phenomena characterized by the return of higher cognitive abilities during sleep, including reflective self-awareness and abstract thought. Given the similarities in reflective self-awareness between LDs and OBEs, some authors consider them variations of the same phenomenon. This study aimed to compare the differences in content between non-LDs, LDs, and OBEs obtained from 60 participants over a two-month period, with 916 dream reports collected. The dream reports were analyzed using automatic methods based on Lexicons such as NRC Emotion Lexicon and Empath, and were scored based on Hall and Van de Castle's dream content scoring system with variations and additional measures. Results showed that OBE dreams were characterized by higher occurrences of negative emotions compared to both lucid and non-lucid dreams as measured by automatic and manual scoring systems. Also, more OBE dream reports contained words related to agency and insight, higher manual scoring of dream control-related expressions, and more total sensations, dream activities, reference to prospective memory evocations, spatial and body references, and more difficulties with movement within the dream environment, than lucid dreams. The findings support the idea that OBEs represent unique experiences distinguished from lucid dreams.
Evaluation of in vitro antibacterial activity of Carum copticum extract against drug resistant Staphylococcus aureus from clinical and food sources
Authors: Khan Javed Ahamad , Rathore Ram Swaroop , Ahmad Iqbal , Gill Rubina , Husain Fohad Mabood , Akhtar Javeed , Tolesa Leta Deressa , Ayanso Misbahu Abdu , Begna Mekonnen
Published: March 2023

Staphylococcus aureus is commensal and human pathogen both. The bacterium is one of the most common causes of food borne infections also in all over the world. C. copticum (Ajwain) is an aromatic spice used as a medicinal plant from ancient time for treating different human diseases including infectious diseases. The highest anti-staphylococcal activity in terms of inhibition zone was recorded 18.5 mm whereas 14.5 mm as lowest. The MIC range of ethanolic extract was evaluated amid 1.56 mg/ml to 3.12 mg/ml. The C. copticum (seed) extract might be useful as anti-staphylococcal agent as well as natural food preservative.
Experience of psychotherapy of psychosomatic disorders
Authors: Kolesnichenko L. A. , Timakova A. V.
Published: March 2023

Purpose of the article – to define and describe the organizational and rich in content aspects of psychoanalytic-oriented psychotherapy of psychosomatic disorders as displays of violation of psychical health. In the described going near psychotherapy of psychosomatic disorders authors leaned against the theoretical analysis of foreign and domestic literature and researches, presented in magazines on medicine, psychology and psychotherapy; generalization and systematization of ten year own work psychotherapy experience of work (psychoanalytic-oriented direction) with clients which have psychosomatic disorders. A selection made fifty persons in age from 27 to 50 years. The organizational features of psychotherapy work selected with psychosomatic disorders, which consist in obligatory combination of analytical therapy with pharmacological therapy and different kinds corporal-oriented and art-therapies, and in combination a group and individual forms of psychotherapy. The rich in content features of psychotherapy work with psychosomatic disorders consist in the psychotherapy accompaniment of client through a row successive the stages, each of which has goals and tasks, dominant psychotherapy strategies and am preparatory for subsequent. Thus, authors are offer the algorithm of psychotherapy work with clients by psychosomatic disorders, developed taking into account their individual typology, psychoemotional and cognitive features.
Phenomenology of personality changes under post-traumatic growth
Authors: Mykhailyuk I. V.
Published: March 2023

The article deals with the pressing issue of phenomenology of personality changes under post-traumatic growth. According to modern studies, traumatic events do not always inevitably lead to psychiatric disorders or dysfunctionality of life, they can also cause productive changes in the personality's life, so-called the post-traumatic growth. Scientific sources on the problem researched give grounds to believe that positive effects of post-traumatic growth are manifested in three main areas: attitude towards oneself, interpersonal relations, and philosophy of life. Research materials have been collected based on the analysis of domestic and international scientific professional psychological editions and periodicals for the period 2006–2016. It has been established that post-traumatic growth, in addition to qualitative transformational changes, can contribute to preservation, recovery and improvement of the personality's state of mental health as the highest individual and social value that promotes its social and psychological adaptation to the new forms of comprehending the reality.
Doing Barzakh, Making Boza
Authors: Bajalia A. George
Published: March 2023

As growing numbers of migrants wait in Morocco to continue their journeys northwards, the social consequences of this time spent ‘en route’ should be further considered. This time spent waiting fosters new claims to belonging and political identity as would-be migrants to Europe become immigrants to Morocco. This article recounts ethnographically how forms of community emerge amongst im/migrants in Tangier through forms of shared difference and labours. In these borderlands, immigrants use terms such as ‘making boza’ and ‘crossing al-barzakh’ to describe the temporal stance of waiting. In Islam, al-barzakh refers to the firmament separating life and death. This article brings these concepts into discussion with anthropological conceptualisations of liminality to query how forms of being-in-common emerge alongside promises of inclusion and threats of exclusion.
Discreet Diplomacy
Authors: Garsten Christina , Sörbom Adrienne
Published: March 2023

This article aims to expand both the analytical gaze of diplomacy studies and anthropological interests in the field of transnational think tanks, advocacy and policy advice. Drawing on ethnographic data from three such organisations, it investigates secrecy practices, focussing on how such practices amount to discreet diplomatic efforts. In a variety of ways, secrecy is utilised as a resource in foreign relations and diplomacy; it is a means to leverage status and influence. Although outwardly striving for transparency, think tanks use secrecy practices in their effort to establish themselves as actors of consequence in foreign relations and diplomatic circles. The practices of secrecy are part and parcel of the power games such organisations play, in which all participants learn and master what to discuss and what to keep silent about. These practices, however, pose a clear challenge to matters of accountability and transparency.
La emoción de la alegría en los Escolios a los salmos de Evagrio Póntico
Authors: Peretó-Rivas Rubén
Published: March 2023

En este artículo se propone analizar el tratamiento que otorga Evagrio Póntico a las emociones, especialmente la alegría, en sus Escolios a los salmos. En primer lugar, se contextualizará la obra de Evagrio, que acaba de ser publicada, con sus características propias, tanto de género literario cuanto a lo concerniente al tipo de exégesis evagriana. Luego, se abordarán el lugar que ocupan en el texto las emociones, haciendo particular hincapié en una de ellas, la alegría, a partir del análisis de todas las ocurrencias del concepto en los Escolios. Como resultado, se observa que la hermenéutica evagriana de los salmos, al menos para el caso de la alegría, es fundamentalmente alegórica lo cual imposibilitaría o negaría la existencia de la alegría en el hombre según su sentido clásico, ya que sólo puede experimentarse como la reacción ante la posesión de un bien espiritual, que es la gnosis o conocimiento de Dios. De esta manera, los Escolios a los salmos apoyan la interpretación fundamentalmente espiritualista de la doctrina de Evagrio Póntico.
L’esegesi di Cant 1,5-6 e il tema dell’epektasis in Gregorio di Nissa, con specifico riferimento al ruolo della grazia e del libero arbitrio
Authors: Marone Paola
Published: March 2023

Come giustamente ha rilevato Moreschini (Gregorio di Nissa, Omelie sul Cantico dei Cantici, a cura di C. Moreschini, Roma 1996, Intr. p. 9), tutto il complesso delle Homiliae in Canticum Canticorum di Gregorio «è costruito sullo schema dell’epektasis» e non è esagerato affermare che «esse vogliono rappresentare una serie di esperienze successive dell’anima la quale, dopo avere avuto un contatto, sia pure parziale, con lo sposo divino, approfondisce sempre di più il suo rapporto spirituale con lui». Ma soprattutto a proposito dell'esegesi di Cant. 1, 5-6 (Sono nera e bella, o figlie di Gerusalemme, come le tende di Kedar, come le pelli di Salomone. Non guardatemi perché sono stata fatta nera, se il sole mi guardò di traverso...) l’epéktasis è inserita in un contesto di ampio respiro e assume un significato compiuto in una prospettiva soteriologica. Dunque, con il nostro intervento, si vuole portare l’attenzione specificatamente sulle Homiliae 2 e 4 che sono dedicate all’interpretazione di Cant. 1, 5-6 e si vogliono mettere a fuoco le varie argomentazioni con le quali il Nisseno, ormai alla fine della vita, attribuì il progresso spirituale dell’anima all’azione salvifica di Dio, in linea con quanto aveva sostenuto molti anni prima nel De virginitate 12,2 («non è opera nostra… divenire simili alla Divinità, ma è il risultato della munificenza di Dio, che fin dalla sua prima origine ha fatto grazia della somiglianza con Lui alla nostra natura»).
On The Disadvantages Of GDP As A Universal Macroeconomic Indicator
Authors: Knyazev Yuri
Published: March 2023

The article explains the shortcomings of GDP as a macroeconomic indicator, which do not allow it to accurately represent the real state of the economy: GDP is based not on the quantity of the goods produced, but on the amount of human labor spent in the country; it is calculated in monetary form on the ba-sis of market prices and tariffs; it distorts cross-country comparisons; it takes into account productive and unproductive, and even useless and destructive labor on an equal basis. The author suggests upgrading the economic indica-tors used in cross-country comparisons and supplementing the GDP with the "gross commodity product" indicator, which reflects the state of only the real sector of the economy, including manufacturing, transportation, R&D and marketing segments
Israeli-Iranian Rivalry from the Perspective of Sino-Israeli and Indian-Israeli Relations
Authors: Mikaelian Arman
Published: March 2023

The article takes a look at how Israeli-Iranian rivalry affected the development of Sino-Israeli and Indian-Israeli relations. China characterizes its relations with Iran as strategic cooperation while India maintains a high level of cooperation with the Islamic Republic. What is more, Iran is one of major trade partners of China and India in the region. The author analyses the efforts Tel-Aviv took to try to influence China’s and India’s approach towards Teheran and make it more favorable for its interests. In the case of China, Israel was interested in stopping flow of Chinese weapons to Iran as well as putting an end to China’s support to Iran’s nuclear program. As for India, Israel in the 2000s was concerned that some of its military technologies supplied to India might be leaked to Iran. Given this, Israel tried to dissuade China’s and India’s from advancing ties with Teheran.
The analysis showed that Israel’s efforts turned out to be fruitless. China signed new strategic agreement with Iran in 2021 and cooperates with Iran on the military and intelligence levels. Likewise, India didn’t change its stance towards Iran due to of Israel’s efforts. Nevertheless, China’s trade relations with Iran decreased as a result of Beijing deepening ties with Arab states, namely Gulf states. This led to decline in China’s oil imports from Iran. The same process can be witnessed in Indian-Iranian relations, where imports from Iran sharply decreased as a result of Trump Administration’s anti-Iranian policy.
DEEP RECURRENT NEURAL NETWORK MODELS FOR FORECASTING SHORT-TERM WIND SPEED
Authors:   North Tehran Branch Azad University, Atashfaraz Navid ,   Shahed University, Manthouri Mohammad ,   North Tehran Branch Azad University, Hosseini Arash
Published: March 2023

Wind speed/power has received increasing attention worldwide due to its renewable nature and environmental friendliness. Wind power capacity is rapidly increasing with the global installed, and the wind industry is growing into a large-scale business. We are looking for wind speed prediction to use wind power better. In this research, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Simple Recurrent Neural Network (Simple RNN), and LSTM-GRU in the subset of artificial intelligence algorithms are used to predict wind speed. The data used in this study are related to the 10-minute wind speed data. In the first study on this dataset, we obtained significant results. To compare the deep recurrent models created, we implement four neural network models: Stacked Auto Encoder, Denoising Auto Encoder, Stacked Denoising Auto Encoder, and Feed-Forward presented in the research of others on this dataset. According to the RMSE statistical index, the LSTM network is worth 0.0222 for a short time and performs better than others in this dataset.
A NEW APPROACH TO IMPROVE CNN PERFORMANCE IN ANOMALY DETECTION FOR IOT NETWORKS BASED ON THE ALGORITHM ADABOOST
Authors:   Islamic Azad University, Jahangiri Zahra , Modiri Nasser ,   Payame Noor University of Guilan, Tayyebi Qasabeh Zahra
Published: March 2023

Since the increase in internet attacks brings much damage, it is essential to take care of the security of network activities. networks must use different security systems, such as intrusion detection systems, to deal with attacks. This research proposes a reliable approach for intrusion detection systems based on anomaly networks. The network traffic data sets are large and unbalanced, affecting intrusion detection systems' performance. The imbalance has caused the minority class to be incorrectly identified by conventional data mining algorithms. By ignoring the example of this class, we tried to increase the overall accuracy, while the correct example of the minority class protocols is also essential. In the proposed method, network penetration detection based on the combination of multi-dimensional features and homogeneous cumulative set learning was proposed, which has three stages: the first stage, based on the characteristics of the data, several original datasets of raw data or datasets criteria are extracted. Then, the original feature datasets are combined to form multiple comprehensive feature datasets. Finally, the same basic algorithm is used to train different comprehensive feature datasets for the multi-dimensional subspace of features. An initial classifier is trained, and the predicted probabilities of all the basic classifiers are entered into a meta-module. In this research, an AdaBoost meta-algorithm has been used for unbalanced data according to a suitable design. Also, various single CNN models and multi-CNN fusion models have been proposed, implemented, and trained. This evaluation is done with the NSL-KDD dataset to solve some of the inherent problems of the KDD'99 dataset. Simulations were performed to evaluate the performance of the proposed model on the mentioned data sets. This proposed method's accuracy and detection rate obtained better results than other methods.
A REVIEW SIOT (SOCIAL INTERNET OF THINGS): TECHNIQUES, APPLICATIONS, CHALLENGES AND TRENDS
Authors:   Payame Noor University of Guilan, Naderlou Lida , Ismayilova Nigar ,   Azerbaijan State Oil and Industry University, Feyziyev Azar ,   Non-profit Higher Education Institutions Roozbeh Zanjan Branc
Published: March 2023

The social or human actions in the IoT platform derive the new paradigm in the IoT environment called the Social Internet of Things (SIoT). The Social Internet of Things is that part of an IoT capable of establishing social relationships with other objects concerning humans. SIoT attempts to moderate IoT challenges in scalability, trust, and resource discovery by taking a cue from social computing. In the IoT family, there is a subset of SIoT, a relatively recent concept. Moreover, a method of integrating IoT with social networking. SIoT is a simulation of human-to-human and object-to-object social networks where Humans are called intellectual and relational objects. They build their social network to accomplish shared objectives such as enhancing accessibility, success, and productivity and providing their needed services. This paper has extensively surveyed the SIoT (social Internet of things) for beginners involved in SIoT Studies. This paper gives you a clear view and ideas about SIoT's architecture, relationships, trust management, and applications and challenges implemented related to SIoT.
SHORT-TERM WIND SPEED FORECASTING USING DEEP VARIATIONAL LSTM
Authors:   North Tehran Branch Azad University, Atashfaraz Navid
Published: March 2023

Wind speed and power at wind power stations affect the efficiency of a wind farm, so accurate wind forecasting, a nonlinear signal with high fluctuations, increases security and better efficiency than wind power. We are looking for wind speed for a wind farm in Iran. In this research, a combined neural network created from variational autoencoder (VAE), long-term, short-term memory (LSTM), and multilayer perceptron (MLP) for dimension Reduction and encoding is proposed for predicting short-term wind speeds. The data used in this research is related to the statistics of 10 minutes of wind speed in 10- meter, 30-meter, and 40-meter wind turbines, the standard deviation of wind speed, air temperature, and humidity. To compare the proposed model (V- LSTM-MLP), we implemented three deep neural network models, including Stacked Auto-Encoder (SAE), recurrent neural networks (Regular LSTM), and hybrid model Encoder-Decoder recurrent network (LSTM-Encoder-MLP) presented on this dataset. According to the RMSE statistical index, the proposed model is worth 0.1127 for a short time and performs better than other types on this dataset.
REGISTRATION OF DRONES THROUGH BLOCKCHAINS
Authors:   Azerbaijan State Oil and Industry University, Babazade Ayla , Gurtov Andrei ,   Linköping University
Published: March 2023

This paper explores the potential use of blockchain technology to register drones. Using blockchain, a unique and tamper-proof identifier can be assigned to each drone, enabling real-time tracking, secure data exchange, and improved compliance with regulations and laws. This paper argues that integrating blockchain into drone registration can increase security, transparency, and efficiency.
THE SOLUTIONS TO ORGANIZE DATA FOR TRAFFIC INFRASTRUCTURE MANAGMENT COMBINED
Authors:   The University of Danang, Cong Duy Trinh , Anh Kiet Tran
Published: March 2023

In the 4.0 revolution, almost every problem is gradually being solved by technology; the pillars are still Cloud Computing, Big Data, AI, and IoT. Among these problems, the problem of the transport sector is fundamental. Because of its unique characteristics, the analysis and collection of survey data are challenging. The unique feature of the data of each transport infrastructure project is that the data is extensive and has many different formats; the information is updated regularly every year according to the process of conserving, renovating, and renovating. Upgrade if using the traditional way of storing and representing data, like the way database management systems and software are used, will not meet the demand. Therefore, it is necessary to implement a solution to build specialized databases, with a special organizational plan according to industry characteristics and the ability to integrate data from specialized applications to have linkage and unity data between authorities. This will be a data platform for exploitation and sharing for professional management work between authorities in the city and the whole country. The planning and maintenance of transportation infrastructure is a practical application. However, there is now interest in a new area of ​​navigation applications in maritime transport and electronic charts. This feature requires GIS support. The transportation system is an essential factor serving the travel needs of the people, helping the production process to take place continuously and operate normally. In our country, transportation is more and more focused. Our country has been building an increasingly complete and developed transportation system; transport infrastructure is considered essential in promoting our country’s economic, cultural and social activities. This paper proposes a solution to organize traffic infrastructure management data in combination with digital maps. Application to edit data of transportation infrastructure information for Hai Chau and Son Tra districts. At the same time, we have also integrated most of the famous map platforms in the world, such as Google Map, BingMap, OpenStreetMap, HereMap, and IOTLink
ÖĞRETMEN ADAYLARININ DİJİTAL ORTAMLARDAKİ AKADEMİK OKUMA ALIŞKANLIK VE EĞİLİMLERİNİN BELİRLENMESİ
Authors: TÜRKBEN Tuncay
Published: March 2023

Bilişim teknolojisinin hızla gelişmesi ve yayılmasıyla birlikte okuma eylemi de dijital araçlar üzerinden yapılmaya başlanmıştır. Bu bağlamda yapılan incelemede öğretmen adaylarının dijital araçları akademik okuma amaçlı kullanma alışkanlık ve eğilimleri ile ilgili bir çalışma tespit edilmemiştir. Bu araştırmanın temel amacı öğretmen adaylarının dijital ortamlardaki akademik okuma alışkanlık ve eğilimlerini belirlemektir. Betimsel istatistiğin kullanıldığı araştırma, tarama modeli kullanılarak gerçekleştirilmiştir. Araştırmanın çalışma grubunu 2021-2022 eğitim-öğretim yılında Aksaray Üniversitesinde farklı bölümlerde öğrenim gören 412 öğretmen adayı oluşturmaktadır. Araştırmanın verileri “Kişisel Bilgi Formu” ve “Dijital Ortamda Akademik Okuma Alışkanlık ve Eğilimlerini Belirleme Anketi” adlı iki bölümden oluşan bir veri toplama aracı ile elde edilmiştir. Araştırma verilerinin analizinde Microsoft Excel ve SPSS 20.0 paket programından yararlanılmıştır. Araştırmadan elde edilen bulgulara göre öğretmen adaylarının büyük çoğunluğu dijital cihazları akademik okuma amaçlı kullandığını ortaya koymaktadır. Ancak araştırmaya dâhil olan öğretmen adaylarının çoğunluğu akademik amaçlı okumalarda basılı kâğıt üzerinden okumayı dijital cihaz üzerinden okumaya göre daha çok tercih ettiklerini; okuma, anlama ve kalıcı öğrenme açısından da kâğıt üzerinden okumanın daha yararlı olduğunu belirtmektedirler. Öğretmen adayları dijital cihazları akademik materyallere ulaşımın kolay ve hızlı olması, ekonomik olması, her yerde erişimin olması, taşınabilirlik vb. nedenlerden ötürü kullandıklarını ifade etmektedir. Katılımcıların büyük çoğunluğu akademik okumalarını akıllı telefon ve dizüstü bilgisayar üzerinden gerçekleştirmektedir. Öğretmen adayları dijital cihaz üzerinden okuma yapmanın göz sağlığını olumsuz etkilenmesi, dikkatin çok çabuk dağılması, odaklanmada güçlük yaşama, zor ve yorucu olması gibi birtakım sınırlı yönlerinin olduğunu belirtmektedir.
Hybrid indoor positioning for smart homes using WiFi and Bluetooth low energy technologies
Authors: Haznedar Yunus , Aydin G. Zeynep Gurkas , Turgut Zeynep
Published: March 2023

In indoor positioning problems, GPS technology used in outdoor positioning needs to be improved due to the characteristic features of wireless signals. There currently needs to be a generally accepted standard method for indoor positioning. In this study, an ecosystem consisting of Beacon devices, Bluetooth intelligent devices, and Wi-Fi access points has been created to propose an effective indoor location determination method by using Wi-Fi and BLE technologies in a hybrid way. First, RSSI (Received Signal Strength Indicator) data were collected using the fingerprint method. Then, Kalman Filter and Savitzky Golay Filter are used in a hybrid manner to reduce the noise on the obtained signal data and make it more stable. In the first part, using the collected data from Wi-Fi and Beacon devices, the Non-linear least squares method (NLLS), including Levenberg-Marquardt (LM), is used for indoor tracking. In the second part, a fingerprinting-based approach is tested. K Nearest Neighbor (KNN) and Support Vector Machine (SVM) algorithms estimate the area where the client is located. Each algorithm’s accuracy rate are calculated on different training and test data and presented.
High trophinin-associated protein expression predicts good survival in acute myeloid leukemia with normal cytogenetics
Authors: He Xue , Hu Jing , Yan Changjian , Liu Xiaoni , Zhao Yali , Yang Ping , Wang Jing , Li Shaoxiang , Zhang Wei , Dong Gehong , Zhang Weilong , Jing Hongmei
Published: March 2023

BACKGROUND: Nearly half of adult acute myeloid leukemia (AML) patients were classified into cytogenetic normal acute myeloid leukemia (CN-AML). The expression level of Trophinin associated protein (TROAP) was proven to be associated with the prognosis of several cancers, but it is still unclear in the prognosis of patients with CN-AML. METHODS: We integrated CN-AML patient samples from 4 datasets to analyze the relationship between TROAP expression and the survival of CN-AML. In addition, we investigated 92 AML patients of The Cancer Genome Atlas (TCGA) database to analyze the relationship between TROAP expression and the survival of AML patients received chemotherapy. We investigated the relationship between the expression of TROAP and drug sensitivity in AML cell lines. RESULTS: CN-AML patients with high TROAP expression were related to good event-free survival (EFS) and overall survival (OS). In AML patients received chemotherapy, high TROAP expression was associated with good survival prognosis. Additionally, the expression of TROAP gene in leukemia stem cells (LSC) + group was lower. Among multiple drugs, the lower the expression of TROAP, the lower the IC50. CONCLUSION: TROAP could serve as an independent predictor of CN-AML patients and could act as a potential biomarker for the prognosis of CN-AML. TROAP expression levels were closely correlated with the drug sensitivity of multiple drugs.