bluuebunny/crossref_metadata_2025 huggingface dataset:
Institutional structure formation of the global green finance market
Authors: Issenov A. S.
Published: January 2022

The article studies the strategic directions of the Eurasian Development Bank as an important element of the institutional structure of the global green finance market.The current differentiated global structure of green finance market institutions has been shown, and the substantive focus of organisations at two levels of the institutional structure of this market has been shown. A statistical overview of green finance institutions by country, region, type and financial instruments used has been made. The role of multilateral development banks in the structure of such institutions has been shown. The need for the formation of institutions in the green financial market segment as a necessary element of green finance has been substantiated.The structure of institutions on two levels has been given: 1) subjects – participants of the green bond market; 2) a set of institutions developing and shaping the methodology for green financial instruments assessment, standards, taxonomy, ratings. Using the global green bond market as an example, up-to-date statistics and analysis of the broader composition of issuers of green financial instruments by country, world region, sovereign and corporate participants, and development institutions have been presented. Emphasis has been placed on public issuers and the participation of multilateral development institutions in financing green economy projects in various countries. The experience of Eurasian Economic Union countries in developing green finance has been summarised and the prospects for Russia and Kazakhstan in the green finance movement have been noted.The institutions of the differentiated structure of the global green finance market identified in the study have been grouped into two levels depending on the profile of their participation in the green economy; the directions and tools for the prospective development of the Eurasian Development Bank’s green finance activities have been defined; recommendations for prospective aspects of the methodological and analytical activities of the bank in the context of the Eurasian Development Bank Strategy 2022–2026 have been proposed.The study applied an analysis of scientific literature in the field of institutional theory, green economy and green finance, statistical, comparative, factual analysis, review and analysis of information from official websites of international development institutions, government and corporate entities, international rating agencies included in the architecture of the global green finance market.
Study on the evolving role of the People’s Republic of China in resolving the conflict in the Islamic Republic of Afghanistan
Authors: Sharipov F. F. , Dyakonova М. A.
Published: January 2022

The age-old struggle for influence in Asia, intensified in recent decades, has gained a new player in the form of dynamic China, one of the leaders of world politics and the economy of today. The authors draw on the opinions of foreign and domestic experts to determine the reasons for the involvement and role of the People’s Republic of China (PRC) in resolving the conflict in the Islamic Republic of Afghanistan (IRA) and to link these activities to China’s renewed strategy in the Middle East as a whole. The research done by the authors over the last six months has developed rapidly in recent weeks and even days, indicating that geopolitical turbulence is developing in recent times.The article classifies the full range of the People’s Republic of China interests in the Islamic Republic of Afghanistan and identifies the factors that influence the formation of China’s system of interests in Afghanistan, including factors in the international environment. The consequences of the pandemic and China’s new opportunities to use soft power to advance its interests have been identified. The People’s Republic of China’s strategy in the region has been defined and attention has been paid to security issues.Beijing’s envisaged steps to promote its projects in the region have been presented.
Italian cultural policy: conclusions for Russia
Authors: Andreykina M. S. , Morozova D. L.
Published: January 2022

The article analyses current public management and funding practices of cultural organisations in Italy by using comparative and statistical analysis. The structure of the sector’s governing bodies and approaches to budgeting for culture at national level have been explored. Trends in decreasing funding from provincial, regional and local budgets have been identified. The status, legislative and institutional conditions for the emergence of Italy’s unique multichannel cultural financing system have been described. An analysis of the Italian museum system’s reform has been presented. The activities of private opera foundations have been discussed in detail. The main similarities between Russian and Italian cultural policies have been described. These are the drive to expand the boundaries and activities associated with the cultural sector, the significant burden on local and regional authorities in the field of cultural heritage preservation, the “quantitative approach” and the application of financial performance indicators to assess cultural organisations performance.The article’s scientific novelty lies in the complex approach to the study of Italian cultural policy using the criteria proposed by D. Montias and A. I. Glagolev, and in the study of the activities of Italian opera foundations and museums, which had not previously been sufficiently covered in the Russian and foreign literature. The prospect of the topic, the practical significance and relevance of the research are due to the need to implement regulations in Russia which set a course for the creation of a multi-channel system of funding and a broad understanding of the cultural sector, and ensuring inter-agency and inter-regional cooperation between the authorities in the implementation of cultural policy.The article analyses a wide range of financial support mechanisms for culture, most of which are named in the “Strategy of State Cultural Policy of Russia as Targets by 2030”, while Italy has accumulated considerable experience in this area for several decades.
Measuring anion binding at biomembrane interfaces
Authors: Wu Xin , Wang Patrick , Lewis William , Jiang Yun-Bao , Gale Philip Alan
Published: January 2022

Understanding non-covalent molecular recognition events at biomembrane interfaces is important in biological, medicinal, and materials chemistry research.1 Despite the crucial regulatory roles of anion binding/transport processes at biomembranes, no information is available regarding how strongly anions can bind to naturally occurring or synthetic receptors in lipid bilayer environments compared to their well-established behaviour in solutions.2 To bridge this knowledge gap, we synthesised a flat macrocycle that possesses a record aqueous SO42– affinity among neutral receptors and exploited its unique fluorescence response at interfaces. We show that the determinants of anion binding are extraordinarily different in organic solvents and in lipid bilayers. The high charge density of dihydrogen phosphate and chloride ions prevails in DMSO, however in lipids they fail to bind the macrocycle. Perchlorate and iodide hardly bind in DMSO but show significant affinities for the macrocycle in lipids. Our results demonstrate a surprisingly great advantage of large, charge-diffuse anions to bind to a lipid-embedded synthetic receptor mainly attributed to their higher polarisabilities and deeper penetration into the bilayer, beyond the common knowledge of dehydration energy-governed selectivity. The elucidation of these principles enhances our understanding of biological anion recognition functions in membranes and guides the design of ionophores and molecular machines operating at biomembrane interfaces.
Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining
Authors: Wen Mingjian , Blau Samuel M. , Xie Xiaowei , Dwaraknath Shyam , Persson Kristin A.
Published: January 2022

Machine learning (ML) methods have great potential to transform chemical discovery by accelerating the exploration of chemical space and drawing scientific insights from data. However, modern chemical reaction ML models, such as those based on graph neural networks (GNNs), must be trained on a large amount of labelled data in order to avoid overfitting the data and thus possessing low accuracy and transferability. In this work, we propose a strategy to leverage unlabelled data to learn accurate ML models for small labelled chemical reaction data. We focus on an old and prominent problem—classifying reactions into distinct families—and build a GNN model for this task. We first pretrain the model on unlabelled reaction data using unsupervised contrastive learning and then fine-tune it on a small number of labelled reactions. The contrastive pretraining learns by making the representations of two augmented versions of a reaction similar to each other but distinct from other reactions. We propose chemically consistent reaction augmentation methods that protect the reaction center and find they are the key for the model to extract relevant information from unlabelled data to aid the reaction classification task. The transfer learned model outperforms a supervised model trained from scratch by a large margin. Further, it consistently performs better than models based on traditional rule-driven reaction fingerprints, which have long been the default choice for small datasets. In addition to reaction classification, the effectiveness of the strategy is tested on regression datasets; the learned GNN-based reaction fingerprints can also be used to navigate the chemical reaction space, which we demonstrate by querying for similar reactions. The strategy can be readily applied to other predictive reaction problems to uncover the power of unlabelled data for learning better models with a limited supply of labels.
Machine learned calibrations to high-throughput molecular excited state calculations
Authors: Verma Shomik , Rivera Miguel , Scanlon David O. , Walsh Aron
Published: January 2022

Understanding the excited state properties of molecules provides insights into how they interact with light. These interactions can be exploited to design compounds for photochemical applications, including enhanced spectral conversion of light to increase the efficiency of photovoltaic cells. While chemical discovery is time- and resource-intensive experimentally, computational chemistry can be used to screen large-scale databases for molecules of interest in a procedure known as high-throughput virtual screening. The first step usually involves a high-speed but low-accuracy method to screen large numbers of molecules (potentially millions) so only the best candidates are evaluated with expensive methods. However, use of a coarse first-pass screening method can potentially result in high false positive or false negative rates. Therefore, this study uses machine learning to calibrate a high-throughput technique (xTB-sTDA) against a higher accuracy one (TD-DFT). Testing the calibration model shows a ~5-fold decrease in error in-domain and a ~3-fold decrease out-of-domain. The resulting mean absolute error of ~0.14 eV is in line with previous work in machine learning calibrations and out-performs previous work in linear calibration of xTB-sTDA. We then apply the calibration model to screen a 250k molecule database and map inaccuracies of xTB-sTDA in chemical space. We also show generalizability of the workflow by calibrating against a higher-level technique (CC2), yielding a similarly low error. Overall, this work demonstrates machine learning can be used to develop a both cheap and accurate method for large-scale excited state screening, enabling accelerated molecular discovery across a variety of disciplines.
A novel blood brain barrier-permeable IRE1 kinase inhibitor sensitizes glioblastoma to chemotherapy in mice.
Authors: Pelizzari-Raymundo Diana , Doultsinos Dimitrios , Pineau Raphael , Sauzay Chloé , Koutsandreas Thodoris , Carlesso Antonio , Gkotsi Elena , Negroni Luc , Avril Tony , Chatziioannou Aristotelis , Guillory Xavier , Eriksson Leif A. , Chevet Eric
Published: January 2022

Inositol Requiring Enzyme 1 (IRE1) is a bifunctional serine/threonine kinase and endoribonuclease. It is a major mediator of the Unfolded Protein Response (UPR), which is activated during endoplasmic reticulum (ER) stress. Tumor cells experience ER stress due to adverse microenvironmental cues such as hypoxia or nutrient shortage and high metabolic/protein folding demand. To cope with those stresses, cancer cells utilize IRE1 signaling as an adaptive mechanism. Here we report the discovery of novel IRE1 inhibitors identified through a structural exploration of the IRE1 kinase domain. We first characterized these candidates in vitro and in cellular models. We showed that all molecules inhibit IRE1 signaling and sensitize glioblastoma cells to the standard chemotherapeutic temozolomide (TMZ). From these inhibitors, we retained a Blood-Brain Barrier (BBB) permeable molecule (Z4P) and demonstrated its ability to inhibit Glioblastoma (GB) growth and to prevent relapse in vivo when administered together with TMZ. These results support the attractiveness of IRE1 as an adjuvant therapeutic target in GB. We thus satisfy an unmet need for targeted, non-toxic, IRE1 inhibitors as adjuvant therapeutic agents against GB.
Identifying the "true" repeat unit of a copolymer using time-resolved electron paramagnetic resonance spectroscopy: a case study involving PNDIT2, NDI-T2 and T-NDI-T
Authors: Matt Clemens , Matsidik Rukiya , Meyer Deborah L. , Schröder Mirjam , Sommer Michael , Biskup Till
Published: January 2022

Semiconducting polymers promise to revolutionise the way electronic devices can be built and deployed for a vast array of applications ranging from light-energy conversion to sensors to thermoelectric generators. Conjugated push-pull copolymers consisting of alternating donor and acceptor moieties are at the heart of these applications, due to the large tunability of their electronic structure. Hence, knowing the repeat unit and thus the chromophore of these materials is essential for a detailed understanding of the structure--function relationship of conjugated polymers used in organic electronics applications. Therefore, spectroscopic tools providing the necessary molecular resolution that allows to discriminate between different building blocks and to decide which one actually resembles the electronic structure of the polymer are of utmost importance. Time-resolved electron paramagnetic resonance (TREPR) spectroscopy is both, perfectly suited for this task and clearly superior to optical spectroscopy, particularly when supported by quantum-chemical calculations. This is due to its molecular resolution and unique capability of using light-induced triplet states to probe the electronic structure as well as the impact of the local environment. Here, we demonstrate the power of this approach for the polymer PNDIT2 (poly{[N,N'-bis(2-octyldodecyl)-naphthalene-1,4,5,8-bis(dicarboximide)-2,6-diyl]-alt-5,5'-(2,2'-bithiophene)}) revealing NDI-T2 unambiguously as the "true" repeat unit of the polymer, representing the chromophore. The alternative building block T-NDI-T has a markedly different electronic structure. These results are of high importance for the rational design of conjugated polymers for organic electronics applications.
AutoSolvate: A Toolkit for Automating Quantum Chemistry Design and Discovery of Solvated Molecules
Authors: Hruska Eugen , Gale Ariel , Huang Xiao , Liu Fang
Published: January 2022

The availability of large, high-quality data sets is crucial for artificial intelligence design and discovery in chemistry. Despite the essential roles of solvents in chemistry, the rapid computational data set generation of solution-phase molecular properties at the quantum mechanical level of theory was previously hampered by the complicated simulation procedure. Software toolkits that can automate the procedure to set up high-throughput explicit-solvent quantum chemistry (QC) calculations for arbitrary solutes and solvents in an open-source framework are still lacking. We developed AutoSolvate, an open-source toolkit to streamline the workflow for QC calculation of explicitly solvated molecules. It automates the solvated-structure generation, force field fitting, configuration sampling, and the final extraction of microsolvated cluster structures that QC packages can readily use to predict molecular properties of interest. AutoSolvate is available through both a command line interface and a graphical user interface, making it accessible to the broader scientific community. To improve the quality of the initial structures generated by AutoSolvate, we investigated the dependence of solute-solvent closeness on solute/solvent identities and trained a machine learning model to predict the closeness and guide initial structure generation. Finally, we tested the capability of AutoSolvate for rapid data set curation by calculating the outer-sphere reorganization energy of a large data set of 166 redox couples, which demonstrated the promise of the AutoSolvate package for chemical discovery efforts.
Dynamics of small molecules within the F127 PEO-PPO-PEO triblock copolymer gel and sol phases studied at the molecular scale
Authors: Thomas Suma S. , Hosseini-Nejad Helia , Bohne Cornelia
Published: January 2022

The dynamics of naphthalene derivatives with different hydrophobicities bound to F127 polyethyleneoxide-polypropyleneoxide-polyethyleneoxide (PEO-PPO-PEO) micelles in the gel and sol phases were studied using a quenching methodology for the triplet excited states of the naphthalenes. Studies with triplet excited states probe a larger reaction volume than the volumes accessible when using fluorescent singlet excited states. The use of triplet excited states enables the determination of the dynamics between different compartments of a supramolecular system, which in the case of F127 micelles are the micellar core, the micellar corona and the aqueous phase. This report includes laser flash photolysis studies for the four naphthalene derivatives in the F127 gel and sol phases. The triplet excited states were quenched using the nitrite anion as the quenchers. The association and dissociation rate constants of the naphthalenes from the micelles and the quenching rate constants for the naphthalenes bound to the micelles were determines from the curved quenching plot (observed decay rate constant vs. nitrite concentration).
Sooting tendencies of diesel fuel component mixtures follow a linear mixing rule
Authors: Xiang Zhanhong , Chen Karnsiree , McEnally Charles , Pfefferle Lisa
Published: January 2022

With the growing importance of climate change, soot emissions from engines have been receiving increasing attention since black carbon is the second largest source of global warming. A sooting tendency can be used to quantify the extent of soot formation in a combustion device for a given fuel molecule, and therefore to quantify the soot reduction benefits of alternative fuels. However real fuels are complex mixtures of multiple components. In this work, we have used experimental methods to investigate how the sooting tendency of a blended fuel mixture is related to the sooting tendencies of the individual components. A test matrix was formulated that includes sixteen mixtures of six components that are representative of the main categories of hydrocarbons in diesel (eicosane (ECO) for alkanes, isocetane (ICE) for isoalkanes, butylcyclohexane (BCH) for cycloalkanes, 1-methylnaphthalene (1MN) for aromatics, tetralin for naphthoaromatics, and methyl-decanoate (MDC) for oxygenates). Most of the mixtures contain three to five components. The sooting tendency of each mixture was characterized by yield sooting index (YSI), which is based on the soot yield when a methane/air nonpremixed flame is doped with 1000 ppm of the test fuel. The YSIs were measured experimentally. The results show that the blending behavior is linear, i.e., the YSI of the mixtures is the mole-fraction-weighted average of the component YSIs. Experimental results have shown that the sooting tendency of a fuel mixture can be accurately estimated as the linear combination of the individual components. In addition, mass density of the mixtures is also measured, and a linear blending rule is applied to test whether mixing rules exist for mass density of diesel mixtures in this study. Results also have shown that the mixing rule tested in this study is valid and mass density of a mixture can be accurately estimated from the linear combination of the individual components.
Education, Arts and Sustainability: Emerging Practice for a Changing World, by Mary Ann Hunter, Arnold Aprill, Allen Hill & Sherridan Emery
Authors: Khuda Kudrat-E-
Published: January 2022

Book Response: Education, Arts and Sustainability: Emerging Practice for a Changing World, by Mary Ann Hunter, Arnold Aprill, Allen Hill & Sherridan Emery. Springer Singapore, Springer, 2018, 120 pp., ISBN: 9811077096
Keywords: Australia; Arts; Critical Thinking; Education; Partnership; Sustainability.
Réaction à un ouvrage : Education, Arts and Sustainability: Emerging Practice for a Changing World, par Mary Ann Hunter, Arnold Aprill, Allen Hill et Sherridan Emery. Springer Singapore, Springer, 2018, 120 pp., ISBN: 9811077096
Mots-clés : Australie, arts, raisonnement critique, éducation, partenariat, pérennité.
Volume 48, No. 1: Examining Art’s Capacity to Challenge, Expand, and Deepen Connections within the field of Art Education
Authors: Boulton Adrienne , Toll Haley
Published: January 2022

Editorial of Volume 48; No. 1.
Éditorial de Volume 48; No. 1.
STUDY ON SEISMIC BEHAVIOR OF STEEL BEAM-TO-COLUMN PANEL ZONES
Authors: Nam Tran Tuan
Published: January 2022

Beam-to-column panel zone behavior in a steel moment-frame is characterized by the surrounding acting forces and its rotating deformation. When subjected to lateral forces, panel zones are deformed in a parallelogram pattern that one side of its diagonal direction is in tension whereas the other side is in compression. Moreover, right angles at the joints between the beam, column ends and the panel remains right angles. Shear strain causes the panel to rotate at a finite angle characterizing its rotating deformation. Based on experimental results from a full scale steel building collapse test, this paper discusses the elastic and elasto-plastic behavior of some typical panel zones.
EFFECTS OF DIFFERENT MATURITY STAGES ON THE QUALITY OF PURPLE PASSION FRUIT
Authors: San Anh Tram , Minh Hung Le
Published: January 2022

Fruit colour development and shrivelling are one of the major concerns of Vietnamese passion fruit industry as it reduces the appearance and downgrades fruit quality. The effects of colour stages were determined in purple passion grown in Gia Lai province, Vietnam. Immediately after harvesting, fruits were transported to the laboratory in Ho Chi Minh City and stored at 20 ºC. Data showed that different maturity stages, viz., skin colour development stages of purple passion fruit significantly affected the quality including colour development and chemical properties.
A DESIGN AND FABRICATION OF ALOE VERA PEELING AND DICING MACHINE
Authors: Hieu Le Hong , Sang Le Tan
Published: January 2022

In this research, aloe vera peeling and dicing system is designed and fabricated with high capacity of 5 ton/hr. The system consists of aloe vera fillet, peeling and dicing mechanism. The system is tested for different speed of the roller and leaf thickness. It is concluded that for getting the maximum gel peeling efficiency 98.56%, the system should be carried out at 75 rpm roller speed for 20-22 mm thickness of aloe vera leaves. The dicing efficiency also exhibits high result with mechanism help changing the flexible aloe vera dice size. Moreover, the system also shows the high stability for reaching capacity of 5 ton/hr while running continuously in ten hours.
A COMPARISON OF LYAPUNOV AND FUZZY APPROACHES TO TRACKING CONTROLLER DESIGN
Authors: Sang Le Tan- , Hong Hieu Le
Published: January 2022

There are numerous types of locomotion of mobile robots. Therein, the most widespread type of locomotion is motion using wheels. The task of robot is transport themselves from place to place. And tracking control is always an important problem to appply robots in practice. The robot has to reach the final goal by following a referenced trajectory. The paper proposes two methods based on the lyapunov stability standard and fuzzy law. Then, we simulate the algorithms to evaluate the results.
Interpretation of the Alluvial Floodplain Accumulation: On the Example of Cross-sections of Geoarchaeological Site Ostrov Listvenichnyi (Northeast Angara Region)
Authors:   Irkutsk State University, Vorobieva G. A. , Kuznetsov A. M. ,   Irkutsk State University, Rogovskoi E. O. ,   Irkutsk State University
Published: January 2022

This paper examines characteristic features of floodplain accumulation at geoarchaeological site Ostrov Listvenichnyi, located on the Angara River at the same-name island (Northeast Angara region, Baikal Siberia). The problems of interpretation of topographic and lithological data, island architecture, glacial and postglacial natural climatic insights (MIS 2–MIS 1) are also touched upon. The accumulation of sediments at a series of 16 archaeological test pits recorded along the northwestern side of the island was analyzed by using pedolithological method. Island formation history included the upbuilding of the origin island based on river point bar, further transformation into “east” pre-island and final articulation of ancient “east” pre-island and younger “west” pre-island. The primary differences in alluvium composition of ancient pre-island (red beds, clay loam) and Holocene sedimentations (grey beds, sandy loam), both situated at the same level, were identified and explained. Detailed analysis of floodplain accumulation revealed eight distinct lithological layers varying by the structure and the composition. The following conclusions were reached based on the data available: lithological strata 1–5 have formed in Sartan, lithological strata 6–8 have formed in Holocene. Every layer contains the information on the changing climate and environment: signals of floods (high flood stages in 7 layer, “dry” stages in 3 layer), different phases of humification (humusless strata 1–4, first fragile humus horizons in layer 5, more pronounced humus horizons a, b, c, d in layer 4, and humus background in strata 7–8), epigenetic markers of сryogenic processes in strata 3–5. Analysis suggest also three chronologically differentiated floodplain benches: lower 1,5–2 meter bench (top of layer 3) associated with Middle Sartan; middle 2,5–3 meter bench (top of layer 5) associated with Final Sartan; top 4,5–5 meter bench (top of layer 8) associated with modern time.
Viktoriya Anatolievna Lipinskaya and Altai: Features of the Field Work of Moscow Ethnographers in Siberia in the 1960–1990s
Authors:   Altai State Pedagogical University, Shcheglova T. K.
Published: January 2022

The article considers field research of Russian population of Altai Krai (region), carried out in 1960–1991 by the Viktoriya Lipinskaya, in the context of history of expedition activity of Institute of Ethnography of Academy of Sciences of the USSR in Siberia. The research topicality is determined by the fragmentary study of Siberian academic expeditions, problems of formation of ethnographic personnel during the Soviet period, and methods and techniques of ethnographers' field work. The sources of this research are the scientific works by Viktoriya Lipinskaya, based on expeditions materials, as well as materials from the author's own personal archive. Among them there are epistolary sources, interview materials, and memoirs of Viktoriya Lipinskaya. The predominance of documents of personal origin determined the accentuation on under-investigated issues of anthropology of scientific life: the paths of research into ethnographic science, the influence of objective and subjective factors on scientific choice, the ratio of theory and practice in the formation of research competences of young ethnographers. The issues of the organization of expeditions, material and technical support, human and methodological resourcing of field research projects were also considered. The principles of choosing of the research areas and selecting respondents were analyzed, the expedition routing was reconstructed. As a result of the analysis of Viktoriya Lipinskaya biography, closely associated with the scientific life of the 1950–1980s, the contribution of the academic institute to the ethnographic study of the Altai population is assessed, and the influence of subjective and objective factors on the results of academic research is revealed. At the turn of the 1950s and 1960s the formation of research programs was determined by the change of research priorities from the study of “traditionalism” to “innovativeness”, interpreted as the influence of socialist modernization on mentality and utility culture of ethnic and social groups in Soviet society. In this context are considered the activities of the director of Institute of Ethnography AS USSR Sergei Tolstov and his deputy Ludmila Terentieva. At the end, conclusions are drawn about the contribution of Viktoriya Lipinskaya to the ethnographic study of the Russians in Siberia.
Physical and mental relationships : an historical survey of the attempts to find a relationship between physical growth and intelligence, and physique and temperament
Authors:   , Davison Allan Albert
Published: January 2022

The relationship of mind and body has long claimed man's attention. Early enquiries into the relationship of these two aspects of development have presumed that physical and mental growth were related functionally, that their growth proceeded together at a similar rate, and that any defect of one would immediately show itself in the other. The relationship occupied the minds of such men as Hippocrates, Plato and Aristotle, and many since have seen the relationship and guessed its nature.
Personality economics: An investigation of how personality develops and how it predicts decisions
Authors:   , Dudek Thomas
Published: January 2022

This thesis is the product of three research papers, of which each one forms a paper of this thesis. In thefirst paper, I study how people’s personality evolves and whether it is shaped by family dynamics,specifically by the sex of one’s siblings. Researchers developed a good understanding of the importanceof personality for people’s lives but know very little how this personality is shaped. The first paperinvestigates whether growing up with a sister instead of a brother might be a cause of different personalitydevelopment. In the second paper, I study two specific personality traits, locus of control and risktolerance, as predictors of decisions under risk. Although we know risk is a crucial part of our lives, we stillhave not determined how to define and measure risk attitudes properly. The second paper delves deeperinto this topic and shows how risk tolerance and locus of control predict risky decisions in an experimentand in real-world choices and gives some additional insight into the measurement of risk attitudes. In thispaper I also studied other personality traits, which turned out to have no important role with regards todecisions under risk. In the third and last paper, I study property insurance decisions with data collectedin an experiment. I designed and coded the experiment and collected this data partially in a computer laband partially online. This project investigates what behavioral and financial factors influence propertyinsurance decisions, especially the choice to insure with fixed-price long-term contracts.
How could a work of architecture that is designed to evoke a Bilbao effect be designed sustainably and in accordance with Vitruvius’s principle?
Authors:   , Kamiya Akito
Published: January 2022

The economy of a region could potentially be enhanced if numerous travelers were attracted by the architecture, and it couldalso lead to improving the economy of the nation. This thesis considers three primary aspects which are Vitruvius’s principleand the relationship to “form follows function”, the sustainable design, and the Bilbao effect. Furthermore, Vitruvius’s principle has consisted of “the strength”, “the utility”, and “the beauty”, historically. In this thesis, the proposed building which is thecombination of museum, concert hall and accommodation is to fulfill those three primary aspects. However, many problemscould currently be identified in architecture. For instance, there has been fuzzy understanding of what architecture meansauthentically. In addition, while some complex architecture exists in the world, there are many different approaches to designit. As the methodology of this thesis-project, the concept which is to affect the proposed architecture will be determined. Inthis case, the meanings of the proposed site will be discovered. Subsequently, the experimentation of architectural forms willbe conducted with integrating the meanings into the forms. The forms created manually will be digitized by the software andthe plug-in, Rhinoceros and Grasshopper. Subsequent to the finalization of the architectural form, the environmental andbuilding-performance simulations will be executed by the other plug-ins, Honeybee and Ladybug. Besides the literature andprecedent review, the sustainable strategies will be specified, being based on the result of the simulations. Then, the architectural form will be customized with the necessary building components in order to become functional architecture as the developed design. As a result, the architecture which could potentially invoke a Bilbao effect with the sustainability and Vitruvius’s principle will be designed in this thesis. In the future, complex architecture which resembles Guggenheim MuseumBilbao will be able to be designed less difficultly, with integrating the sustainable aspect and the authentic architectural style.
Model Shuttle Flow Dalam Pembelajaran Integratif Holistik Bahasa Indonesia Di Sekolah Dasar
Authors: Sudirman Sudirman
Published: January 2022

This paper is an innovative concept in the field of learning, especially Indonesian in elementary schools. The Shuttle Flow Model is an invention, the result of contemplating experiences during and after teaching, observing, and training teachers in learning practices. The existence of a ‘shuttling’ movement between values and competencies during learning and prioritizing the elements of connectedness, wholeness, and beingness are the main features of this model. The purpose of this model is to help teachers teach Indonesian in an integrative-holistic manner as well as a solution to teacher constraints in integrative learning in primary schools. This model displays the flexibility in integrating the four aspects of language skills with the core competencies in the 2013 Curriculum which flow back and forth in the direction formed by the flow of competencies. This direction shows the relationship between aspects of language skills from and to core competencies. That is why it is called the Shuttle Flow Modle or the Shuttle Flow Model. The presence of this model is so important to guide teachers in developing the self-potential of students holistically. By using this model, teachers will never run out of material in teaching, they can even find out what aspects and competencies the students are weak in. There are five strengths of this model and four weaknesses. Strengths are intensified to minimize weaknesses. It is recommended that this learning model be an innovative choice in learning in elementary schools.
Prędkość detonacji. Dialektyka wolności w "Nakręcanej dziewczynie" Paola Bacigalupiego
Authors: Dajnowski Maciej
Published: January 2022

The article explores the relationship between speed and freedom in Paolo Bcigalupi’s dystopian novel The windup girl. Detailed analyses have been devoted to the main character of the piece – an artificial, genetically modified woman. The contexts for them were both the feminist, postcolonial, and posthumanist reflection, as well as the genre determinants of the novel.
Po moim trupie! – karnawał według Weroniki Murek, czyli literacka kreacja świata przedstawionego w opowiadaniu "W tył, w dół, w lewo"
Authors: Sokólska Paulina
Published: January 2022

The paper is an analysis of fictional reality in Weronika Murek’s W tył, w dół, w lewo focused on its carnivalesque character. The author refers to famous Mikhail Bakhtin’s study Rabelais and his world dedicated, among others, to popular festive forms and folk culture of laughter. Since there are certain rules sanctioning hierarchy and familiarity, as well as inversion or parody of values, different profanations, such as these in Murek’s prose, are possible to happen. The most disturbing one concerns the blasphemic exchange in which a juxtaposition leads to a replacement of Christ’s incarnated body by a rotting corpse. The author invokes Antoni Malczewski’s Maria and poetry of Józef Baka to find familiar voices and embed Murek in Polish literary tradition, taking under consideration her eccentric black humour, choice of grotesque language, and dark, melancholic imagination. W tył, w dół, w lewo not only breaks the taboo of talking about death, but also points out a specific aspect of necroviolence – social and lingual exclusion of the dead. Such provocative, patchwork form demands an answer concerning justification and validation of its usage. The final part of the article proposes to search them through the “metaphysics of meat” which refers to a concept developed in an essay by Jolanta Brach-Czaina.
To wszystko i sto innych czynności, i sto tysięcy innych czynności. Codzienność w poezji Tadeusza Różewicza
Authors: Bolek Michał
Published: January 2022

The main topic of the article is everyday life depicted in the poetry by Tadeusz Różewicz. Its reference point is the concept of everyday life constructed by Bernhard Waldenfels. He distinguishes three ways of perceiving it – it entails regular order, embraces everything that is palpable and tangible, as well as is closed-in-itself and restricted. According to Grażyna Borkowska, everyday life is synonymic to both daunting prose of life and heart-warming  familiarness. Thus, everyday life embraces a wide range of human experiences and is valuated both positively and negatively. The category of everyday life understood as above functions as a frame for interpretation of selected Różewicz’s poems which represent different topics – religion and faith, humanity, death, and writing. Everyday life functions in Różewicz’s poetry as a space for religious experience; it enables formulating diverse universal conclusions about humanity and their relations with the world, allows the subject to speak about human mortality, and is the platform for self-referential deliberation about poetry and creating. Interpreting selected poems from the perspective of everyday life lets the reader capture deeper, ambiguous meaning of faith, perceive human existence in its double sense – both ordinary and extraordinary, bind everyday life with death and present it as a space for creating poetry. Those measures make discussed issues clearer and more concrete and combine them with human experience. Showing a specific tension between them and everyday life makes the interpretation richer and opens perspectives for discovering new meanings.
Od „nie-miejsca” do „heterotopii”. Zagrożenie jako czynnik zmieniający status przestrzeni w "Dżumie" Alberta Camusa
Authors: Rawski Karol
Published: January 2022

Words can create reality which is why they sometimes arouse fear in people, especially when they are denominations of threatening forces, unfavourable to men.

In my article, I would like to discuss the problem of pestilence and the utterance hereof in Albert Camus’ Plague. Why did Dr. Rieux hesitate to clearly utter the threat? Why did other characters in the novel have no problem voicing “epidemic” out loud? And above all, what are the consequences of uttering a disease? How the word “plague” destroyed the existing spatial status of Oran as a non-place; how it became a gate to building a new spatial status structure based on a heterotopic labyrinth, which, from the moment of utterance of this terrible term, was completely subjugated to the plague. How does the word escape the doctor’s room? What is the role of the figure of window in the process of the name overcoming barriers and passing from the level of language to the level of reality? And finally, whether the rhythm analysis can become an answer, deafening and counteracting the still resounding threat contained in the word.
How Fast is Furious The Discourse of Fast Cinema in Question
Authors: Comanducci Carlo
Published: January 2022

Considered in its articulation with an idea of “slow” cinema, the label “fast cinema” suggests three characteristics: fast-paced action, hyperkinetic cinematic style, and irreflexive consumption. Not only does fast cinema suggest these three characteristics, however, it also suggests that they directly correspond to each other so that, in a “fast” film, fast-paced action would be seamlessly rendered through “fast” cinematic enunciation and this rendering would necessarily result in an escapist, ready-to-consume film product. It is more by this correspondence, I think, than by any of these elements on its own that a certain understanding of “fast” cinema is established.

Against this understanding, through a variety of contrasting examples, the article argues that the impression of fastness and that of slowness are both the matter of a tension between different temporalities and a complex combination of heterogeneous film elements, and that the articulation of “fast” and “slow” cinema itself depends less on the formal characteristics of different kinds of film than on a disciplinary understanding of spectatorship, which pretends to derive from these formal characteristics different and unequal forms of film experience.
Attention, Distraction and the Distribution of the Senses: “Slow”, “Reflexive” and “Contemplative” between Cinema and the Museum
Authors: Elsaesser Thomas
Published: January 2022

A classic definition of attention designates it as “the selective perception of a particular stimulus, sustained by means of concentration and the willing exclusion of interfering sense-data”. In our sense-data rich environments, attention has become a scarce commodity, increasingly valued and sought after, but with the paradoxical consequence that the very pursuit of attention cannot but register as distraction. How do artists confront and art spaces cope with this paradox, and how has the moving image in the museum changed the articulation of time, space and information that is narrative?
Time Flows: Rhythm in Slow Cinema
Authors: Stańczyk Marta
Published: January 2022

In her article, the author describes slow cinema as one of the most important tendencies in contemporary art-house cinema, simultaneously focusing on its temporal emanations. The text emphasizes the notion of rhythm and divides it into two subcategories: external and internal rhythm. The latter is close to the embodied experience, therefore it influences viewers affectively, as a somatic resonance. It enables a spectator’s intensive engagement in slow films. The author’s argumentation is based on rhythm research and existential phenomenology
Results of the study of the weed-ﬁeld ﬂora of Primorsky Territory in 2016-2020
Authors: Morokhovets T. V. , Morokhovets V. N. , Vostrikova S. S. , Basay Z. V. , Skorik N. S. , Markova E. S. , Baimuhanova A. A.
Published: January 2022

The results of the study of the weed component of soybean, early grain crops and maize agrocenoses in Primorsky Territory are presented. In total, 111 species of weeds belonging to 35 families were found during the period from 2016 to 2020. Compared with the results of crop surveys conducted in 2006-2015, the total number of species detected has increased by 23. The largest number of species belongs to the families Asteraceae (24), Poaceae (15), Polygonaceae (11), Fabaceae (9), Brassicaceae (8), Caryophyllaceae (7) and Lamiaceae (5). The remaining 26 families were represented by 1-3 species each. For the ﬁrst time weeds-representatives of the families Scrophulariaceae, Violaceae, Lythraceae, Onagraceae, Asclepiadaceae and Boraginaceae have been discovered. The ﬂoristic composition of soybean agrocenoses was the highest with 108 weed species from 31 families. In cereal and maize crops, weed diversity was less signiﬁcant, with 75 species in 22 families and 72 species in 25 families, respectively. Weed vegetation in all the above crops is represented by 62 species of 19 families. The main weed species that grew on 97-99% of the surveyed territory with a suﬃciently high average density of standing (21-61pcs/m2) were Asian copperleaf, cockspur grass and common ragweed. Also, more than half of the surveyed crops of soybeans, cereals and corn were hairy cupgrass, perennial sow thistle, common couch-grass, common lamb’s quarters, wormwood species, ﬁeld horsetail, yellow thistle, dayﬂower and yellow foxtail. Practical measures to protect against weeds on the Primorsky Territory should be primarily aimed at controlling these species.
Knowledge Based Prediction of Standard Penetration Resistance of Soil Using Geotechnical Database
Authors: Arshid Muhammad Usman
Published: January 2022

The current study aimed at predicting standard penetration resistance (N) of soil using particle sizes and Atterberg's limits. The geotechnical database was created subsequent to the field and laboratory testing. The sample collection points were distributed in a mesh grid pattern to have uniform sampling consistency. Artificial Neural Networks (ANN) were trained on the database to build a knowledge-based understanding of the interrelation of the given soil parameters. To check the efficacy of the model, the validation was carried out by predicting standard penetration resistance (N) for another 30 samples which were not included in the training data (444 samples). The trained ANN model has been found to predict N values in close agreement with the N values measured in the field. The novelty of the research work is the standard penetration prediction employing basic physical properties of soil. This proves the efficacy of the proposed model for the target civil engineering application. Doi: 10.28991/CEJ-SP2021-07-01 Full Text: PDF