bluuebunny/crossref_metadata_2025 huggingface dataset:
Astrocytes induce desynchronizing effects in neuron-astrocyte networks cultured on microelectrode arrays
Authors: Genocchi Barbara , Ahtiainen Annika , Niemi Annika , Barros Michael , Tanskanen Jarno , Lenk Kerstin , Hyttinen Jari , Subramaniyam Narayan
Published: April 2023

In this work, we aim to study how astrocytes control electrophysiological activity during network formation. Here we use a combination of spike/burst analysis and complex analysis of the raw neuronal signals to assess the role of astrocytes on microelectrode arrays (MEA). We cultured rat primary cortical neurons and astrocytes on 60-electrode MEAs with different neuron/astrocyte ratios ranging from “pure” neuronal cultures (NS) without separately added astrocytes to co-cultures containing 50% neurons and 50% astrocytes. We analyzed the spike and burst rates, as well as the complexity-entropy causality planes of the signals to deeply study the patterning of the neuronal signals.

Moreover, we classified the spike waveforms from the NS and the co-cultures based on their signal properties. 

The dataset used can be found at: https://zenodo.org/record/7741379.
Observation of spurious spectral features in mixed-powder compressed pellets measured by terahertz time-domain spectroscopy.
Authors: Murphy Keir , Markl Daniel , Nordon Alison , Nfataly Mira
Published: April 2023

Spurious loss features were observed in mixed-powder compressed pellets measured in transmission using terahertz time-domain spectroscopy. Loss features were identified in two types of pellets: PTFE-glass microspheres and PTFE-lactose. The features were found to be dependent on particle size and concentration. An explanation is proposed, based on varying optical thickness of the sample material. 
RespBERT: A multi-site validation of a Natural Language Processing algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS)
Authors: Pathak Ashwin , Marshall Curtis , Davis Carolyn , Yang Philip , Kamaleswaran Rishi
Published: April 2023

Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction that is associated with significant mortality and morbidity among critically ill patients admitted to the Intensive Care Unit (ICU). The etiology associated with ARDS can be highly heterogeneous, with most cases being associated with infection or trauma. ARDS is often described as a clinical syndrome associated with poor oxygenation even in the presence of mechanical ventilation. The Berlin criteria of ARDS is the current gold standard for identifying whether patients had developed ARDS, however it often requires manual adjudication of the chest radiograph, resulting in limited tools to automate the process. Since the determination of ARDS is dependent on the presence of bilateral infiltrates on radiographic images, and this information is not typically available in Electronic Medical Record (EMR). Automated determination of the presence of radiological evidence would enable robust study of the syndrome by eliminating expensive individual inspection by physicians of the images. The text of radiological reports provides an opportunity for Natural Language Processing (NLP) to determine the status of the lungs for evaluating the imaging criterion. We developed a Natural Language Processing (NLP) pipeline to analyze radiology notes of 362 patients satisfying sepsis-3 criteria from the Electronic Medical Record (EMR) to determine possible ARDS diagnosis. The radiology notes were de-noised and preprocessed. They were further vectorized through the word-embedding pipeline BERT and fitted to a classification layer using transfer learning. These classification models showed F1-score of 74.5% and 64.22% for Emory and Grady dataset respectively.
Outer-Loop Admittance And Motion Control Dual Improvement via A Multi-function Observer
Authors: Samuel Kangwagye , Haninger Kevin , Oboe Roberto , Oh Sehoon
Published: April 2023

Safe environment contact and high performance motion control are typically conflicting design goals. Admittance control can improve safety and stability in contact with a stiff environment, but remains challenging on industrial robots.

Typically high-performance motion control is achieved by low-admittance systems, which can give high transient forces or instability in contact with high-stiffness environments.

This paper proposes a linear admittance control framework from which a Multi-function OBserver (MOB)-based control scheme that succeeds in directly improving the motion control accuracy by suppressing disturbances, while achieving better loop shaping in the outer-loop admittance control is developed.

By using the task space force and position measurement of the robot, combined with linearized robot and payload models to design the MOB, the outer-loop controller can render improved interactive dynamics.

In addition, a methodology to design the proposed MOB based on the reduced-order model is developed.

Theoretical evaluations and experiments verify the effectiveness of the proposed MOB-based control method, in contact with an environment stiffness and with a 7~kg payload.
Impact of Forcibly Displaced People's Identity Crisis on Host State’s Security: The Case of Rohingya Refugees in Bangladesh
Authors: Islam Md Saiful , ŞAHİN Ali
Published: April 2023

A long-term ethnic conflict between the Rohingya Muslim and Buddhist Rakhine communities, the legal exclusion of the Rohingya from the 1982 Citizenship Act, and various forms of discrimination for decades in Myanmar led the Rohingya population to become stateless in their own country and fall into an identity crisis. The study explores how Rohingya refugees fall into the identity crisis and analyzes how they threaten Bangladesh's state security and destroy the state's global image. Using desk-based research, the study found that the identity crisis of Rohingya refugees encouraged them to seek alternative ways of getting Bangladeshi passports and flights worldwide as Bangladeshi nationals, creating an image crisis for Bangladesh through their illegal activities. Focusing on how vulnerable Rohingya refugees are and looking at the security tensions within the hosting state, the study recommends changes to make identity policies for people who have been forced to move.
Electronic Health Records (EHRs): Effectiveness to Health Care Outcomes and Challenges of Health Practitioners in Saudi Arabia
Authors: Amponin Aimee M. , Britiller Myra Cusi
Published: April 2023

Recently, Electronic Health Records (EHRs) were regarded as an important factor implicating the majority of health care facilities. This study identified the effectiveness of electronic health records to health care outcomes and determined the challenges experienced by health practitioners while putting EHRs into practice. The research was descriptive and cross-sectional. The study was conducted in selected government and private hospitals throughout Saudi Arabia's regions. A sample of three hundred twenty (N = 320) health practitioners who are members of the medical department, nursing department, and paramedical department were the participants of the study. A self-structured questionnaire, which included questions about the effectiveness of EHRs in five categories: quality of patient care, patient engagement, support team-based care, workload, data liquidity; and challenges in the implementation of electronic health records, was the tool utilized for data collection. Data were analyzed with the mean, standard deviation, Mann-Whitney and Kruskal-Wallis’s tests, and Spearman's rho. The study revealed that EHRs are moderately effective in improving health care outcomes. Age, place of work, and years of experience with the use of EHRs are critical indicators of effectiveness, but health practitioners’ discipline is not a factor in determining the effectiveness of EHRs use. Health practitioners who apply EHRs to improve health care outcomes particularly to support team-based care face more challenges in their implementation.
Genetic Susceptibility to Severe Forms of COVID-19: What we learned in 2022
Authors: Benmansour R. , Tagajdid M. R. , Elkochri S. , Aabi R. , Elannaz H. , Laraqui A. , Mchichi B. El , Touil N. , Ennibi K. , Amine I. Lahlou
Published: April 2023

Host genetics of COVID-19 patients is constantly evolving and may play an important role in the management of hospitalized patients and the identification of new biomarkers. In 2022, numerous studies have been published examining genetic factors that may be associated with severe outcomes of COVID-19 disease, as well as different genetic biomarkers have been suggested for early diagnosis of severe SARS-CoV-2 infection. In this literature review, we provide relevant updated analyses, examining studies published in 2022 in the literature that correlate with what was published in previous years and that focused on host genetics in patients with severe or fatal forms of COVID-19, Studies using different genotyping and sequencing techniques for the identification of genetic polymorphisms with promising results on different genes of the Renin angiotensin system, Interferon system, ABO system, Apolipoprotein E, Dipeptidyl petptidase, Leucine Zipper Transcription Factor-Like Protein 1(LZTFL1) and HLA system in diverse populations.
Tackling Blindness from the Scourge of Glaucoma
Authors: Damji Karim F. , Yaseen Ayesha , Mahar P S
Published: April 2023

Glaucoma is a global public health concern and in Pakistan we need an effective country wide response to ensure our residents receive the care they deserve. The term glaucoma or more precisely the glaucomas, refers to a group of disorders which have in common an intraocular pressure (IOP) sensitive optic neuropathy in association with ganglion cell loss and visual field defects.1In comparison to other Asian subregions, South Central Asia is expected to have the largest growth in glaucoma cases from 2013 to 2040, from 17.06 million to 32.90 million.2
Identifikasi Penyakit Daun Tomat Menggunakan Gray Level Co-occurrence Matrix (GLCM) dan Support Vector Machine (SVM)
Authors: Tampinongkol Felliks
Published: April 2023

Tumbuhan memiliki peranan penting dalam menjaga keseimbangan ekosistem karena sebagai sumber makanan dalam suatu rantai makanan. Tumbuhan Tomat (Lycopersicon esculentum) merupakan salah satu sumber bahan makanan yang kaya akan nutrisi, gizi dan juga dapat memberikan energi. Tomat banyak digunakan diberbagai negara termasuk Indonesia dan menjadi buruan untuk dikreasikan dalam berbagai rempah masakan, sehingga tomat memiliki peranan dalam perekonomian yang disebabkan oleh banyaknya permintaan. Dalam menjaga pasokan tomat terus tersedia perlu adanya proses budidaya, dalam proses ini tumbuhan tomat mudah diserang oleh hama dan penyakit yang menyebabkan terjadinya bercak dan hawar pada daun tomat. Identifikasi citra daun tomat yang terserang penyakit dapat tersegmentasi pada hasil pengurangan channel warna [Green – Red] dalam citra RGB. Ciri penyakit hasil segmentasi diekstrak menggunakan GLCM dengan sudut 0o dan jarak ketetanggaan nilai antar pixel citra yang digunakan adalah 1 nilai piksel citra. Berdasarkan hasil yang diperoleh nila akurasi terbesar dari model SVM yang digunakan adalah 65% dengan kernel radial basis function, untuk membedakan dua jenis penyakit pada daun tomat. Nilai akurasi model SVM yang diperoleh dari hasil ekstraksi ciri GLCM diambil menggunakan persamaan Energy dan Entropy. Nilai akurasi model masih dapat ditingkatkan dengan menambahkan penciri lain yang terdapat pada GLCM.
THREATS TO ENERGY SECURITY OF UKRAINE: IDENTIFICATION OF MEASUREMENT AND DIRECTIONS OF ELIMINATION
Authors: MATIICHUK Liubomyr , NOVOSAD Oksana , PAVLOVA Olena , KORYTKO Mykhailo
Published: April 2023

The article considers the reasons for the origin of threats and risks to the country's energy security system. Existing and potential threats at the macroeconomic, microeconomic, and mesoeconomics levels are systematized. The main negative trends that threaten the electricity industry, gas transportation, and gas distribution activities, coal and oil industries are traced. The essential understanding of threats as categories is argued based on the existing interpretations of scientists. The proposed definition of “energy security threat” is based on a rethinking of government and market levers to meet Goal 7 of the 2030 Agenda for Sustainable Development, which requires access to low-cost, reliable, sustainable, and modern energy sources for all actors’ management. The conditional distribution of threats has been made, as different research methods are used to the set goal, and there are subjective assessments of the analysis of phenomena and processes. Based on the various features of the actual content of threats, it is proposed to classify them according to the following features: causes (objective, manufactured origin, which is a consequence of human life); localization of education (direct, indirect); security segments (state, energy, international, food, information, social, etc.); consequential manifestations; duration of the course; areas of distribution; areas of damage (structural elements, technological facilities, infrastructure, stages of production, consumption, transportation; species and methods of occurrence (spontaneous and predictable, chronic or accidental, objective or subjective). Threats as a socio-economic phenomenon are considered in the growing hierarchy: macroeconomic threats, mesoeconomics threats, microeconomic threats, which in turn allowed to classify threats by remoteness and indicators of impact.
Keywords: microeconomics, macroeconomics, mesoeconomics, energy-saving technologies, energy strategy, energy risks, generating capacities, gas distribution enterprises, gas transmission system, geological exploration works, production, transportation of energy resources.
Taxonomical Consideration, Phylogeny and Paleobiogeography of Some Argentinian Ypresian Benthic Foraminiferal Species
Authors: Anan Haidar Salim
Published: April 2023

Rich and well preserved Argentinian taxa made it possible to correlate them with those previously identified species in the coeval sequence in different Tethyan North America, Europe and Middle East localities. This study deals with new information on paleontology and lineages of fourteen Argentinian Ypresian benthic foraminiferal species from the Punta Torcida Formation, lower-middle Eocene (Ypresian-lower Lutetian), Tierra del Fuego Island and Fuegian continental shelf, which belongs to twelve genera: Laevidentalina, Lagenoglandulina, Tollmannia, Tristix, Leticuzonaria, Palmula, Leroyia, Marginulina, Ramulina, Orthokarstenia, Rectuvigerina and Pleurostomella. Ten of the illustrated species are believed to be new: Laevidentalina jannoui, Lagenoglandulina argentinica, Tollmannia argentinica, Leticuzonaria argentinica, Palmula americana, Leroyia argentinica, Marginulina argentinica, Ramulina subornata, Ramulina morsii and Rectuvigerina argentinica sp. nov. The paleoenvironment of the Argentinian taxa would have been a shelf sea of normal salinity, where muds were deposited under low energy and low oxygen conditions, as is suggested by the dominance of infaunal morphotypes and excellent preservation of the tests, whereas intercalated sandstones reflect moderate energy and oxic conditions, bearing microfossil assemblages displaced from shallower settings.
The Role of Nutritional Therapy in Inhibiting the Progression of Chronic Kidney Disease: A Narrative Literature Review
Authors: Harun Harnavi , Genta Pradana
Published: April 2023

The need for proper nutrition and diet is fundamental in every stage of chronic kidney disease. The principle of nutritional therapy is slowing the progression of chronic kidney disease, delaying patients with CKD (chronic kidney disease) from getting kidney replacement therapy. In CKD patients, there is a disturbance of protein homeostasis, disturbance in metabolism protein, acid-base disorders, and hormonal dysfunctions. As the progression of CKD increases, nitrogen-containing products accumulate, causing a decrease in appetite. In CKD patients, intestinal absorption is also impaired because uremia causes microbiota disturbance and damage to the intestinal epithelium. These various things cause nutritional status to become often irregular, and protein energy wasting frequently occurs, thus requiring dietary adjustments in patients with CKD. In conclusion, each individual with CKD has a different nutritional therapy approach depending on the disease conditions and nutritional status of the individual. Appropriate nutritional therapy in CKD patients can reduce disease progression.
Kemampuan Memahami Persamaan Reaksi Kimia Di Era Pembelajaran Digital Pada Siswa Kelas X MIPA SMAN 5 Palangka Raya
Authors: Seliwati Seliwati
Published: April 2023

Pembelajaran jarak jauh dilaksanakan dalam rangka mencegah penyebaran dan penularan COVID-19 di lingkungan satuan pendidikan. Kemendikbud telah mengambil kebijakan untuk menutup sekolah selama masa pandemi COVID-19. Untuk mengatasi permasalahan pembelajaran jarak jauh, guru  harus menyiapkan rencana pelaksanaan pembelajaran jarak jauh menggunakan media pembelajaran  digital. Penelitian ini bertujuan untuk mendeskripsikan kemampuan siswa kelas X MIPA SMA Negeri 5 Palangka Raya dalam memahami konsep persamaan reaksi kimia menggunakan media pembelajaran digital. Metode penelitian yang digunakan adalah metode deskriptif dengan subjek penelitian 136 siswa kelas X MIPA SMA Negeri 5 Palangka Raya tahun pelajaran 2020/2021. Instrumen menggunakan tes tertulis pilihan ganda dengan empat pilihan jawaban serta wawancara. Rerata persentase kemampuan  siswa  memahami konsep persamaan reaksi kimia pada indikator (1) menjelaskan pengertian persamaan reaksi kimia sebesar 62,5% ; (2) menentukan persamaan reaksi kimia dari zat-zat yang bereaksi 68,87%; (3) menentukan koefisien reaksi yang tepat untuk menyetarakan persamaan reaksi kimia 75%; (4) menentukan senyawa kimia dan koefisien reaksi yang tepat untuk melengkapi  persamaan reaksi kimia 71,81%.
X-Ray Images Analytics Algorithm based on Machine Learning
Authors: Gancheva Veska , Georgiev Ivaylo , Todorova Violeta
Published: April 2023

The rapid development of information technology has led to a huge amount of data generated by large or complex systems and devices. Applications in information technology, medicine, and many other fields generate large volumes of data that challenge analysts. Data mining analysis finds application in areas where statistical and analytical methods and the models built through them are not sufficient. The paper discusses sources of medical data, use cases, and data analysis in medicine, as well as methods and algorithms for data analysis. The purpose and objectives of the study, presented in the paper are to propose an algorithm for processing X-Ray images based on tools and techniques from the field of machine learning. The preprocessing phase is concerned with image transformation, feature extraction, and the selection of training and testing datasets. Preprocessing data enables the processing of data that would not otherwise be appropriate by adjusting the data to the specifications established by each data retrieval procedure. Each feature is examined in the second stage to identify and classify any potential patterns. In the final stage, the most effective model to capture the pattern or behaviour of the data is chosen using a machine learning algorithm. The proposed algorithm is verified using publicly available X-Ray image datasets consisting of four classes: Normal, Lung Opacity, Pneumonia, and COVID-19. A medical image classification workflow was designed for verification. In the experimental workflow, five algorithms in the field of machine learning are determined and implemented: Logistic Regression, Naive Bayes, Random Forest, SVM, and Neural Network. In comparison to the outcomes of Random Forest, Logistic Regression, Naive Bayes, and SVM, the findings of the experimental analysis and results demonstrate that Neural Networks produce the greatest results, and these results can be taken to be the most dependable.
Mathematical Justification of Vehicular Traffic Resistance in Relation to Structural Surface Conditions of Hauling Roads
Authors:   Voronezh State University of Engineering Technologies, Prokopets Vladimir S. , Skrypnikov Alexey V. , Borovlev Yuriy A. , Kozlov Vaycheslav G. ,   Voronezh State Agrarian University named after Emperor Peter the Great, Ponomareva Natalia G. ,   Northern (Arctic) Federal University named after M.V. Lomonosov, Levushkin Dmitry M. ,   Mytishchi Branch of the Bauman Moscow State Technical University (National Research University)
Published: April 2023

The currently available methods for evaluating technical-operational characteristics and conditions of hauling roads are time- consuming. Although, they provide a sufficiently accurate description of the conditions of certain road components. Furthermore, they give the possibilities to identify ways for elimination of the constructional defects and determine the work extent to correct them. A peculiarity of forestry production is the simultaneous exploitation of a branching transport network with different types of subsidiary hauling roads, which depends on weather conditions, change of logging locations, traffic intensity, and other factors. Therefore, the available methods, which clarify the relationships between the traffic resistance and strength of the road construction, are poorly usable for rapid estimation of the technical and operational conditions in renovation planning. The purpose of the study is to improve the methodological fundamentals of traction-operational calculations for timber transportation according to the constructional state of the hauling roads. It has been determined that the calculation of the rolling resistance must include the factor of structural deformation. It is influenced by the modulus of elasticity for the surface structural materials. The resulting relationship makes it possible to increase the accuracy of traction-operational calculations at the project phase of the hauling road building. It can be included into the target function for comparing alternatives in the case of optional project planning. The mathematical aspect in the evaluation of the traffic resistance gives an opportunity to use this parameter as an indirect characteristic of the constructional strength of a road, as well as it can be a comprehensive qualitative indicator of the condition of a pavement. For citation: Prokopets V.S., Kozlov V.G., Skrypnikov A.V., Ponomareva N.G., Levushkin D.M., Borovlev Yu.A. Mathematical Justification of Vehicular Traffic Resistance in Relation to Structural Surface Conditions of Hauling Roads. Lesnoy Zhurnal = Russian Forestry Journal, 2023, no. 2, pp. 106−120. (In Russ.). https://doi.org/10.37482/0536-1036-2023-2-106-120
«Лесному журналу» – 190 лет: вехи истории и значимость журнала
Authors:   Институт лесоведения РАН, Мерзленко М.Д.
Published: April 2023

«Лесной журнал» – одно из старейших периодических значимых изданий в России. За 190 лет он прошел долгий путь развития и был связан с именами многих выдающихся деятелей русской лесоводственной науки. Особо необходимо выделить Г.Ф. Морозова и И.С. Мелехова, существенно поднявших в разные периоды статус «Лесного журнала». «Лесной журнал» возник благодаря «Обществу поощрения лесного хозяйства». На рубеже XIX–XX вв. он издавался Императорским Вольным экономическим обществом, а с 1958 г. и по настоящее время выходит в серии «Известия высших учебных заведений».
Jeju Special Self-Governing Province Smart Green City Policy Review
Authors: Kim In Hwan , Lee Young Sung , Kim Na Ye , Choi Ji Soo , Kim Ki Hong , Shin Jae Hyeon , Lee Dong Yeop , Jeong Sae Bom
Published: April 2023

This study aims to present the spread of a smart green city model centered on water and waste management among Jeju's environmental policies, and to provide sustainable green business services. To this end, a frame was introduced for the smart green policy at the SDGs and circular economy level, and a strategy was proposed after creating a problem map for linking with the upper plan for smart green policy at the central government and Jeju Island level and solving regional problems. Furthermore, the spatial linkage of Jeju with SDGs and sustainable green governance through improving resident-centered global cooperation were illustrated.
K. I. Chukovsky`s Nekrasov Questionnaire and D.S. Merezhkovsky
Authors:   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, Andrushchenko Elena A.
Published: April 2023

The paper examines D.S. Merezhkovsky’s responses to the famous Nekrasov questionnaire by K.I. Chukovsky, who presented it to his contemporaries by publishing some of the responses in “Chronicle of the Writers` club” (1921). In the preface he pointed out the modernists’ decisive role in reviving the poet’s legacy during the 20th century. In the second (1926) and third (1930) editions Chukovsky changed the list of surveyed poets, which suggests that as a publisher he intended to reflect the new literary hierarchy. In his three publications of the Nekrasov questionnaire he justified his decisions by the views he assumed while working with the material and by the current sociocultural situation. The paper focuses on the handwritten draft of D.S. Merezhkovsky’s responses (1919), which appeared partly in the first edition and were only fully published in 1988. Merezhkovsky was more outspoken than before in his judgement of Nekrasov’s poems about the people, suspecting poet`s speculation on this subject. He also exposed his true attitude to the “feminine” and “masculine” streams of the Russian culture. His responses to Chukovsky deconstructed the artificial concept that he had established in his works “Two mysteries of Russian poetry” and “The poet of eternal femininity”. His intuitively delicate and convincing definition of the currents of Russian culture ran into a contradiction with Nekrasov that emerged in his response. In truth he regarded Nekrasov as a figure of the “masculine” stream of culture, which is a driving, active, rather than a contemplative and passive creative element.
National and International in the Space Planning of Bulgarian Settlements in the Komi Republic
Authors:   Vyatka State University, Bykova Ekaterina V.
Published: April 2023

The paper examines the peculiarities of the formation of an environment with ethnic markers in the space of Bulgarian logging villages in the Udora district of the Komi Republic in the 70–80-ies of the twentieth century. The relevance of the research is determined by the issue of fixing the historical context and preserving the monuments of fine art reflecting the epoch and the communicative features of various cultural layers, as well as the interaction of personal and collective memory. The aim of the study is to identify the mechanisms of visual image formation in the international and national content of Bulgarian art in the Komi Republic. The authors payspecial attention to the culture of memory in relation to other commemorative practices based on the visualization of the objective world and cultural landscape. The importance of this topic is explained by the active movement of people between cities and countries and the erasing of spatial boundaries of the cultural landscape in the conditions of Soviet ideological attitudes of internationalism, in which national peculiarities are preserved, while a tolerant relationship in society is established. The results obtained allowed identifying the sources and conditions of formation of the spatial environment in Bulgarian workers' settlements and analyzing the context of national and international features of architectural structures and monumental painting and sculpture in the cultural landscape. The authors come to the conclusion that the Bulgarian workers' settlements of the Komi Republic attest to the fact that visual agitation in combination with other works of art was an effective means of shaping a cultural landscape with ethnic markers in terms of the international content.
Society and Genius in K. E. Tsiolkovsky`s Approach: Cultural and Philosophical Aspect
Authors:   Institute of Philosophy and Socio-Political Sciences, Muradyan Olesya A.
Published: April 2023

The study deals with the issue of the relationship between society and those individuals who are called geniuses from the point of view of the concept of the Russian thinker, autodidact, scientist and teacher K.E. Tsiolkovsky, who presented the main points on this topic in his works. The text consistently collects and systematically presents the specifics of the figure of genius itself and the qualities that it should possess, as well as a modern view of the acceptance of the genius of discoveries. As an example of a creative and brilliant personality in relation to other people and the view that we have today, the method of neurography is considered. At the final stage, the question is raised about the possibility of genius and the formation of a type of society that can be called perfect. The author draws parallels between the views of K.E. Tsiolkovsky and his Western contemporary J. Dewey on education and creative activity in it, in the context of educating a future genius. As a result, the author reviews the ranks of personalities proposed by K.E. Tsiolkovsky.
Metaphysics of Language Mentality: to the Issue Articulation
Authors:   Omsk State Medical University, Maksimenko Ludmila А.
Published: April 2023

The relevance of the present research is determined by the ambiguity of understanding the issue of “one's own-another's” in relation to the boundaries of the world defined by the native language. Suppose that “any language can be learned in such a way” that we will not need translation and will be able to “think in this language” [7, p. 448]. However, will it be the same as in Russian? Is it possible to master a foreign language by making it your own? The paper suggests looking at the “wars of languages” as the idea of Noomachia (deep “war of minds”) and tries to find its traces. The author discovers the grammatical features of the Russian and English languages and interprets them as their own logos structures of languages. They manifest themselves in syntax (chaos vs order), in the way a person speaks the world (statement vs sentence), in the difference between the philosophical limit of possessiveness (“linguistic property vs obedience”) and “grammatical centers” (verb vs noun). They express ontological and philosophical-anthropological and socio-cultural aspects of mental linguistic differences and metaphysically conflicting combinations of Logos of Noomachia. Russian is dominated by Dionysian and Apollonian, in English — Apollonian and Cybelic, which is reflected in the psycho-emotional constitution of Russians and Englishmen and cultural and linguistic norms. English is the “language of time”, Russian is the “language of space”. Russian language and mentality are qualitative, English is quantitative. Language “carries” some, others are its “carriers”. English reduces being to existing material things, Russian — breaks through to the being. The scale of these differences is so great that it allows their interpretation in terms of the speculative hypothesis of Noomachia in relation to the sphere of language.
INCIDENCIA DE EHRLICHIA CANIS EN CANINOS MEDIANTE LA TINCIÓN DE GIEMSA DEL DISTRITO II DEL MUNICIPIO DE COBIJA
Authors: Arrazola Verónica Flores , Tola Eugenio Basilio Alvarado , Nogales Carola Cecilia Sempertegui
Published: April 2023

El presente trabajo de investigación tiene como objetivo determinar la incidencia de Ehrlichia canis, los estudios se realizaron en el distrito II de Municipio de Cobija durante los meses de agosto, septiembre y octubre del 2021.Para determinar la incidencia de la Ehrlichia canis, se evaluó 244 muestras de sangre de caninos con signos clínicos e infestación por garrapatas, se clasifico a los caninos de la siguiente manera según: raza, sexo y edad. Las muestras en el que se observó mórulas dentro los glóbulos blancos se lo denomino como positivo a Ehrlichia canis. El total de muestras positivo a Ehrlichia canis fue de 7,4% que equivale a 18 casos positivos y 92.6% que equivale a 226 de casos negativos. La raza con mayor porcentaje a Ehrlichia canis fue la mestiza con 5,9 %, de 11 casos positivos respecto a las demás, en cuanto al sexo ambos obtuvieron el mismo porcentaje de 7,8% de 9 casos positivos, de los cinco grupos evaluados por edad, tuvieron mayor porcentaje de positivos el grupo de 1 a 3 años con 8% con 10 casos positivos respecto a los otros. De 2.790 perros que viven el distrito II del municipio de Cobija, el 0,65% que corresponde a 18 perros presentaron Ehrlichia a la prueba tinción de Giemsa. De los 244 perros tomados como muestra, el 40,2% de los perros presentan garrapatas; sin embargo, es determinante para la incidencia de la Ehrlichia canis, que en los nueve barrios del Distrito II del municipio de Cobija es del 7,4%. Los factores que determinan la incidencia de esta Ehrlichia canis son las garrapatas: qué residen en los perros, estando presente solamente en los barrios: El Bosque, Conavi, Progreso, Santa Cecilia y Miraflores. Otro factor determinante es la raza de los perros, toda vez que solo se observó la incidencia de Ehrlichia canis, en las razas Chihuahua, Cocker, Collie, Mestizo y Pastor alemán, y no así en las razas: Boxer, Buldog francés, Caniche, Dacke, Dog argentino, Golden R., Gran danés, Jais papi, Labrador, Pinscher, Pitbull, Pug, Rottweiler, Schnauzer y Shar pei. Los otros factores sometidos a estudio como son el sexo y la edad no son factores determinantes para la incidencia de Ehrlichia canis, en perros del distrito II de la ciudad de Cobija.
Cop culture and its transmission within police organisations
Authors: Pesti Tünde
Published: April 2023

Aim: To study the way in which cop culture is transmitted, by examining the phenomena and cases that have been identified in the main areas of police culture: professional characteristics, values, canteen culture, code of silence.Methodology: The author uses qualitative research, document and content analysis.Findings: Research in the main areas of cop culture shows that deviant behaviour is rarely achieved by immediate action, by showing 'example'. One possible mode of transmission is mainly through verbalisation, which may be a kind of testing phase, followed by deviant behaviour. The detection of such cases is made more difficult by the characteristics of the police profession – (uncritical) loyalty, need for trust, conformity or empathy – thus helping to maintain and reproduce an inappropriate cop culture.Value: Describes the role of morale in cop culture and police profession.
EFFECT OF DESPOTIC LEADERSHIP ON ORGANIZATIONAL CYNICISM: ROLE OF MORAL DISENGAGEMENT AND ORGANIZATIONAL IDENTIFICATION
Authors: Ahtisham Mirza Muhammad Ahtisham , Anwar ul Haq Muhammad , Ahmed Mirza Ashfaq , Khalid Shaista
Published: April 2023

The purpose of this study was to find out the effect of despotic leadership on organizational cynicism both directly and with the mediating role of moral disengagement. It was also posited that organizational identification inversely moderates the effect of despotic leadership on organizational cynicism. Data was collected from the SMEs in Gujranwala Division of Punjab, Pakistan. The sample consisted of 280 randomly chosen front line employees from nine strata of SME manufacturing concerns. To empirically test the hypothesized model, SEM (Structural equation modelling) and Process Macros in SPSS 25 were used. The results confirm the hypothesized model. Despotic leadership has positive effect on organizational cynicism. Moral disengagement mediated between despotic leadership and organizational cynicism. Furthermore, results proved that employees higher on organizational identification were lesser cynic and vice versa. The study is first of its first kind and has advanced our understanding of dark leadership, cynicism, disengagement and organizational identification in the SMEs. The results guide the leadership practice by highlighting the ill-effects of despotic leadership. The study has important implications for literature, policy and managerial practice presented in the end.
A construction method of urban road risky vehicles based on dynamic knowledge graph
Authors: Zhang Yongmei , Du Zhirong , Hu Lei
Published: April 2023

The growth of the Internet of Things makes it possible to share information on risky vehicles openly and freely. How to create dynamic knowledge graphs of continually changing risky vehicles has emerged as a crucial technology for identifying risky vehicles, as well as a research hotspot in both artificial intelligence and field knowledge graphs. The node information of the risky vehicle knowledge graph is not rich, and the graph structure plays a major role in its dynamic changes. The paper presents a fusion algorithm based on relational graph convolutional network (R-GCN) and Long Short-Term Memory (LSTM) to build the dynamic knowledge graph of risky vehicles and conducts a comparative experiment on the link prediction task. The results showed that the fusion algorithm based on R-GCN and LSTM had better performance than the other methods such as GCN, DynGEM, ROLAND, and RE-GCN, with the MAP value of 0.2746 and the MRR value of 0.1075. To further verify the proposed algorithm, classification experiments are carried out on the risky vehicle dataset. Accuracy, precision, recall, and F-values were used as heat-tolerance evaluation indexes in classification experiments, the values were 0.667, 0.034, 0.422, and 0.52 respectively.
Ductile fracture toughness of Al 5754-H111 alloy using essential work of fracture method
Authors: Abdellah Mohammed Y. , Ghazaly Nouby M. , Kamal Al-Shimaa H. , Seleem Abo-El Hagag A. , Abdel-Jaber G. T.
Published: April 2023

The aluminium alloy 5754 H-111 is a high-strength alloy with a remarkable corrosion resistance, particularly to seawater. It is widely used in the aerospace, marine, and automotive industries. In this work, the influence of fracture toughness methods applied to two thin aluminium sheets with different thicknesses (1.8 mm and 5 mm) was analysed. The first method was the essential work of fracture (EWF) method. It was applied at room temperature at a deformation rate of 1 mm/min with a double-edge notched tensile specimen (DENT) to measure the fracture toughness ($ {w}_{e} $) of a material with ductile damage based on the stored energy of the body. The second method was a compact tensile test (CT) to determine the linear elastic fracture toughness. For the EWF, DENTs of 4, 6, 10, 12, and 14 mm were used in the centre section. The EWF values were 273 kJ/m2 and 63 kJ/m2 for the aluminium sheets with thicknesses of 5 mm and 1.8 mm, respectively. The surface energies JIC determined using CT were 34.5 kJ/m2 and 10.6 kJ/m2, respectively, for these sheets. These values are highly similar. Furthermore, the percentage errors of the elastic EWF were 5.8% and 8.4%, respectively, for the two thicknesses. The fractures were of the stress types in which the pits and voids grow in conjunction. In addition, both deep and isolated large dimples were well distributed in the aluminium, which is the main ductile deformation concept.
Spatiotemporal dynamics of a diffusive predator-prey system incorporating social behavior
Authors: Souna Fethi , Djilali Salih , Alyobi Sultan , Zeb Anwar , Gul Nadia , Alsaeed Suliman , Nisar Kottakkaran Sooppy
Published: April 2023

This research concerned with a new formulation of a spatial predator-prey model with Leslie-Gower and Holling type II schemes in the presence of prey social behavior. The aim interest here is to distinguish the influence of Leslie-Gower term on the spatiotemporal behavior of the model. Interesting results are obtained as Hopf bifurcation, Turing bifurcation and Turing-Hopf bifurcation. A rigorous mathematical analysis shows that the presence of Leslie-Gower can induce Turing pattern, which shows that this kind of interaction is very important in modeling different natural phenomena. The direction of Turing-Hopf bifurcation is studied with the help of the normal form. The obtained results are tested numerically.
Adaptive and blind audio watermarking algorithm based on dither modulation and butterfly optimization algorithm
Authors: Wu Qiuling , Huang Dandan , Wei Jiangchun , Chen Wenhui
Published: April 2023

How to improve the robustness to resist attacks and how to adaptively match the key parameters of the watermarking algorithm with the performance requirements to achieve the best performance in different applications are two hot issues in the research of audio watermarking algorithms. An adaptive and blind audio watermarking algorithm based on dither modulation and butterfly optimization algorithm (BOA) is proposed. Based on the convolution operation, a stable feature is designed to carry the watermark, which will improve the robustness by means of the stability of this feature to prevent the watermark loss. Blind extraction will be achieved only by comparing the feature value and the quantized value without the original audio. The BOA is used to optimize the key parameters of the algorithm which can be matched with the performance requirements by coding the population and constructing the fitness function. Experimental results confirm that this proposed algorithm can adaptively search for the optimal key parameters that match the performance requirements. Compared with other related algorithms in recent years, it exhibits strong robustness against various signal processing attacks and synchronization attacks.
CNN-Based Vessel Meeting Knowledge Discovery From AIS Vessel Trajectories
Authors: Chen Peng , Liu Shuang , Lukač Niko
Published: April 2023

How to extract a collection of trajectories for different vessels from the raw AIS data to discover vessel meeting knowledge is a heavily studied focus. Here, the AIS database is created based on the raw AIS data after parsing, noise reduction and dynamic Ramer-Douglas-Peucker compression. Potential encountering trajectory pairs will be recorded based on the candidate meeting vessel searching algorithm. To ensure consistent features extracted from the trajectories in the same time period, time alignment is also adopted. With statistical analysis of vessel trajectories, sailing segment labels will be added to the input feature. All motion features and sailing segment labels are combined as input to one trajectory similarity matching method based on convolutional neural network to recognize crossing, overtaking or head-on situations for each potential encountering vessel pair, which may lead to collision if false actions are adopted. Experiments on AIS data show that our method is effective in classifying vessel encounter situations to provide decision support for collision avoidance.
Digitization, Marketing 4.0, and Repurchase Intention in E-Tail
Authors: Dash Ganesh , Rishi Bikramjit , Akmal Syed , Paul Justin , Chakraborty Debarun
Published: April 2023

The Marketing 4.0 phenomenon has drawn positive attention recently due to digitization and the need for upgraded frameworks. It was recently proposed with four components: brand identity, brand image, brand integrity, and brand interaction (4i). Brand interaction caters to the latest digitization trends in the industry. This study applies the Marketing 4.0 framework in a cross-national emerging economy context. It proposes a model that examines the impact of Marketing 4.0 on the online customer experience (OCE) and online repurchase intention (ORPI). Five hundred twenty-eight online shoppers of the branded apparel segment from two emerging economies participated in the study. The findings indicate the validity of the adapted Marketing 4.0 scale across the samples. All the direct hypotheses are accepted except one proving the positive impact of Marketing 4.0 on the OCE and the ORPI. Furthermore, the OCE significantly mediates the relationships between Marketing 4.0 elements and the ORPI, except for brand interaction (BINT).
Structural, Thermal, and Magnetic Characterization Analysis of Synthesized Fe3O4-Spinel Ferrite Nanoparticles
Authors: Gogoi Bandana , Das Upamanyu
Published: April 2023

Spinel ferrite nanoparticles are potential candidates for multiple biomedical applications. Spinel ferrite nanoparticles have been studied extensively for understanding physical, chemical, electro-optical as well as magnetic properties which are fascinating due to cationic distributions corresponding to tetrahedral sites and octahedral sites in a cubic phase. Biocompatibility and large magnetic moment are basic requirements in spinel ferrite nanoparticles for efficient functioning in specific application purpose. Fe3O4(magnetite) is an important member of spinel ferrite group with high chemical stability and ferrimagetic material property at nanodimension. Superparamagnetic state and biocompatibility of magnetite (Fe3O4) spinel ferrite nanoparticle has already been proven. Spinel ferrite magnetite nanoparticles have been developed based on precipitation of iron oxide using ferric and ferrous ions at the ratio 2:1 in alkaline media at and above 100°C. The experimental parameters have been set to synthesize pure and uniformly sized magnetite nanoparticles. No other phases of iron oxides were detected other than magnetite spinel phase in the XRD result. The average crystal size has been determined from XRD peak broadening. Absorption spectra were investigated using UV-Vis Spectrometer and FTIR. Thermal and magnetic measurements were carried out Digital Scanning Calorimeter and SQUID Magnetometer. One sample of the prepared nanoparticles with polymer coating of polyvinyl alcohol has been studied for superparamagnetic nature. Superparamagnetic particles show saturation value of magnetization 51.26 emu/g at 100 K. ZFC-FC curves for two samples with polymer coating of polyvinyl alcohol and hydroxy-propyl methyl cellulose have also been studied. Keywords: Spinel Ferrite, Magnetite, Ferrimagnetism, Transition metal oxide, Superparamagnetism. Statements and declarations Competing Interests: The authors declare that there is no competing financial interest that are related directly or indirectly to the reported work in this paper. Conflict of interest: There is no conflict of interest. Acknowledgements The Authors are grateful to IISER Bhopal, CRF facility for providing instrumentation facility to characterize magnetic properties. We acknowledge thanks to Lovely Professional University for providing us necessary characterization technique for the XRD analysis and thermal analysis.
The effect of Self-Directed Learning Motives and Students’ Cooperation on the success of Online Learning: The moderating effect of Resource Availability
Authors: Mathana S. , Galdolage B. S.
Published: April 2023

Technology and online education have become increasingly crucial components of education worldwide in the twenty-first century. Though online education is not a common practice in Sri Lankan higher education, the Covid-19 pandemic has forced it to embrace it. Self-directed learning motives and students’ cooperation become critical factors in determining online learning success. As a developing country, however, resource availability will be a matter of achieving the intended outcomes in online learning. Against this backdrop, the purpose of this study is to examine the effect of self-directed learning motives and students' cooperation on the success of online learning, while also assessing the moderating effect of resource availability. Using a quantitative approach, an online survey was carried out to gather 229 respondents from fifteen public universities in Sri Lanka during the Covid 19 pandemic, and the data were analyzed using correlation and multiple regression analysis. The study discovered the positive effects of self-directed learning and students' cooperation on the success of online learning. However, resource scarcity is eroding these connections. This study adds to the theory by expanding on the existing literature on self-directed and corporative learning on online platforms. It gives policymakers, government officials, educators, instructors, and students with insights into how to improve online education.