bluuebunny/crossref_metadata_2025 huggingface dataset:
Narrativas sobre perspectivas e práticas de professores que ensinam Estatística a partir de um processo formativo
Authors: Rodrigues Bruna Mayara Batista , Ponte João Pedro da
Published: September 2022

Resumo O objetivo deste estudo é conhecer as perspectivas e práticas de dois professores de Matemática que atuam nos anos finais do Ensino Fundamental, antes e depois de um processo formativo, através das narrativas dos próprios professores. Utilizamos uma abordagem qualitativa, com paradigma interpretativo. Os dados foram recolhidos durante a formação e nos dois anos subsequentes através de entrevistas e relatórios. A análise de dados foi sustentada por conceitos relacionados à formação e prática de professores que ensinam Estatística. Os resultados mostram que os professores, inicialmente, valorizavam um ensino centrado em procedimentos matemáticos, que não evidenciava o significado dos conceitos estatísticos. Com a formação, ressignificaram a sua prática, passando a valorizar a abordagem exploratória da Estatística e a realização de investigações estatísticas. Com essa realização, os professores evidenciam práticas que favorecem o desenvolvimento da literacia estatística dos alunos.
Modeling Dynamic Multi-Topic Discussions in Online Forums
Authors: Wu Hao , Bu Jiajun , Chen Chun , Wang Can , Qiu Guang , Zhang Lijun , Shen Jianfeng
Published: September 2022

In the form of topic discussions, users interact with each other to share knowledge and exchange information in online forums. Modeling the evolution of topic discussion reveals how information propagates on Internet and can thus help understand sociological phenomena and improve the performance of applications such as recommendation systems. In this paper, we argue that a user’s participation in topic discussions is motivated by either her friends or her own preferences. Inspired by the theory of information flow, we propose dynamic topic discussion models by mining influential relationships between users and individual preferences. Reply relations of users are exploited to construct the fundamental influential social network. The property of discussed topics and time lapse factor are also considered in our modeling. Furthermore, we propose a novel measure called ParticipationRank to rank users according to how important they are in the social network and to what extent they prefer to participate in the discussion of a certain topic. The experiments show our model can simulate the evolution of topic discussions well and predict the tendency of user’s participation accurately.
Integrating a Closed World Planner with an Open World Robot: A Case Study
Authors: Talamadupula Kartik , Benton J. , Schermerhorn Paul , Kambhampati Subbarao , Scheutz Matthias
Published: September 2022

In this paper, we present an integrated planning and robotic architecture that actively directs an agent engaged in an urban search and rescue (USAR) scenario. We describe three salient features that comprise the planning component of this system, namely (1) the ability to plan in a world open with respect to objects, (2) execution monitoring and replanning abilities, and (3) handling soft goals, and detail the interaction of these parts in representing and solving the USAR scenario at hand. We show that though insufficient in an individual capacity, the integration of this trio of features is sufficient to solve the scenario that we present. We test our system with an example problem that involves soft and hard goals, as well as goal deadlines and action costs, and show that the planner is capable of incorporating sensing actions and execution monitoring in order to produce goal-fulfilling plans that maximize the net benefit accrued.
Past and Future of DL-Lite
Authors: Artale Alessandro , Kontchakov Roman , Ryzhikov Vladislav , Zakharyaschev Michael
Published: September 2022

We design minimal temporal description logics that are capa- ble of expressing various aspects of temporal conceptual data models and investigate their computational complexity. We show that, depending on the required types of temporal and atemporal constraints, the satisfiability problem for temporal knowledge bases in the resulting logics can be NLOGSPACE-, NP- and PSPACE-complete, as well as undecidable.
Two-Player Game Structures for Generalized Planning and Agent Composition
Authors: De Giacomo Giuseppe , Felli Paolo , Patrizi Fabio , Sardina Sebastian
Published: September 2022

In this paper, we review a series of agent behavior synthesis problems under full observability and nondeterminism (partial controllability), ranging from conditional planning, to recently introduced agent planning programs, and to sophisticated forms of agent behavior compositions, and show that all of them can be solved by model checking two-player game structures. These structures are akin to transition systems/Kripke structures, usually adopted in model checking, except that they distinguish (and hence allow to separately quantify) between the actions/moves of two antagonistic players. We show that using them we can implement solvers for several agent behavior synthesis problems.
Node Selection Query Languages for Trees
Authors: Calvanese Diego , De Giacomo Giuseppe , Lenzerini Maurizio , Vardi Moshe
Published: September 2022

The study of node-selection query languages for (finite) trees has been a major topic in the recent research on query lan- guages for Web documents. On one hand, there has been an extensive study of XPath and its various extensions. On the other hand, query languages based on classical logics, such as first-order logic (FO) or monadic second-order logic (MSO), have been considered. Results in this area typically relate an Xpath-based language to a classical logic. What has yet to emerge is an XPath-related language that is expressive as MSO, and at the same time enjoys the computational proper- ties of XPath, which are linear query evaluation and exponen- tial query-containment test. In this paper we propose μXPath, which is the alternation-free fragment of XPath extended with fixpoint operators. Using two-way alternating automata, we show that this language does combine desired expressiveness and computational properties, placing it as an attractive can- didate as the definite query language for trees.
Fixing a Tournament
Authors: Williams Virginia
Published: September 2022

We consider a very natural problem concerned with game manipulation. Let G be a directed graph where the nodes represent players of a game, and an edge from u to v means that u can beat v in the game. (If an edge (u, v) is not present, one cannot match u and v.) Given G and a "favorite" node A, is it possible to set up the bracket of a balanced single-elimination tournament so that A is guaranteed to win, if matches occur as predicted by G? We show that the problem is NP-complete for general graphs. For the case when G is a tournament graph we give several interesting conditions on the desired winner A for which there exists a balanced single-elimination tournament which A wins, and it can be found in polynomial time.
Compilation Complexity of Common Voting Rules
Authors: Xia Lirong , Conitzer Vincent
Published: September 2022

In computational social choice, one important problem is to take the votes of a subelectorate (subset of the voters), and summarize them using a small number of bits. This needs to be done in such a way that, if all that we know is the summary, as well as the votes of voters outside the subelectorate, we can conclude which of the m alternatives wins. This corresponds to the notion of compilation complexity, the minimum number of bits required to summarize the votes for a particular rule, which was introduced by Chevaleyre et al. [IJCAI-09]. We study three different types of compilation complexity. The first, studied by Chevaleyre et al., depends on the size of the subelectorate but not on the size of the complement (the voters outside the subelectorate). The second depends on the size of the complement but not on the size of the subelectorate. The third depends on both. We first investigate the relations among the three types of compilation complexity. Then, we give upper and lower bounds on all three types of compilation complexity for the most prominent voting rules. We show that for l-approval (when l ≤ m/2), Borda, and Bucklin, the bounds for all three types are asymptotically tight, up to a multiplicative constant; for l-approval (when l > m/2), plurality with runoff, all Condorcet consistent rules that are based on unweighted majority graphs (including Copeland and voting trees), and all Condorcet consistent rules that are based on the order of pairwise elections (including ranked pairs and maximin), the bounds for all three types are asymptotically tight up to a multiplicative constant when the sizes of the subelectorate and its complement are both larger than m1+ε for some ε > 0.
User-Specific Learning for Recognizing a Singer's Intended Pitch
Authors: Guillory Andrew , Basu Sumit , Morris Dan
Published: September 2022

We consider the problem of automatic vocal melody transcription: translating an audio recording of a sung melody into a musical score. While previous work has focused on finding the closest notes to the singer's tracked pitch, we instead seek to recover the melody the singer intended to sing. Often, the melody a singer intended to sing differs from what they actually sang; our hypothesis is that this occurs in a singer-specific way. For example, a given singer may often be flat in certain parts of her range, or another may have difficulty with certain intervals. We thus pursue methods for singer-specific training which use learning to combine different methods for pitch prediction. In our experiments with human subjects, we show that via a short training procedure we can learn a singer-specific pitch predictor and significantly improve transcription of intended pitch over other methods. For an average user, our method gives a 20 to 30 percent reduction in pitch classification errors with respect to a baseline method which is comparable to commercial voice transcription tools. For some users, we achieve even more dramatic reductions. Our best results come from a combination of singer-specific-learning with non-singer-specific feature selection. We also discuss the implications of our work for training more general control signals. We make our experimental data available to allow others to replicate or extend our results.
What if the Irresponsible Teachers Are Dominating?
Authors: Chen Shuo , Zhang Jianwen , Chen Guangyun , Zhang Changshui
Published: September 2022

As the Internet-based crowdsourcing services become more and more popular, learning from multiple teachers or sources has received more attention of the researchers in the machine learning area. In this setting, the learning system is dealing with samples and labels provided by multiple teachers, who in common cases, are non-expert. Their labeling styles and behaviors are usually diverse, some of which are even detrimental to the learning system. Thus, simply putting them together and utilizing the algorithms designed for single-teacher scenario would be not only improper, but also damaging. The problem calls for more specific methods. Our work focuses on a case where the teachers are composed of good ones and irresponsible ones. By irresponsible, we mean the teacher who takes the labeling task not seriously and label the sample at random without inspecting the sample itself. This behavior is quite common when the task is not attractive enough and the teacher just wants to finish it as soon as possible. Sometimes, the irresponsible teachers could take a considerable part among all the teachers. If we do not take out their effects, our learning system would be ruined with no doubt. In this paper, we propose a method for picking out the good teachers with promising experimental results. It works even when the irresponsible teachers are dominating in numbers.
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Authors: Liu Yang , Liu Yan , Chan Keith
Published: September 2022

Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm called multilinear maximum distance embedding (M2DE), which includes three key components. To preserve the local geometry and discriminant information in the embedded space, M2DE utilizes a new objective function, which aims to maximize the distances between some particular pairs of data points, such as the distances between nearby points and the distances between data points from different classes. To make the mapping of new data points straightforward, and more importantly, to keep the natural tensor structure of high-order data, M2DE integrates multilinear techniques to learn the transformation matrices sequentially. To provide reasonable and stable embedding results, M2DE employs the L1-norm, which is more robust to outliers, to measure the dissimilarity between data points. Experiments on various datasets demonstrate that M2DE achieves good embedding results of high-order data for classification tasks.
Intelligently Aiding Human-Guided Correction of Speech Recognition
Authors: Vertanen Keith , Kristensson Per Ola
Published: September 2022

Correcting recognition errors is often necessary in a speech interface. These errors not only reduce users' overall entry rate, but can also lead to frustration. While making fewer recognition errors is undoubtedly helpful, facilities for supporting user-guided correction are also critical. We explore how to better support user corrections using Parakeet — a continuous speech recognition system for mobile touch-screen devices. Parakeet's interface is designed for easy error correction on a handheld device. Users correct errors by selecting alternative words from a word confusion network and by typing on a predictive software keyboard. Our interface design was guided by computational experiments and used a variety of information sources to aid the correction process. In user studies, participants were able to write text effectively despite sometimes high initial recognition error rates. Using Parakeet as an example, we discuss principles we found were important for building an effective speech correction interface.
Extracting Ontological Selectional Preferences for Non-Pertainym Adjectives from the Google Corpus
Authors: Tanner John , Gomez Fernando
Published: September 2022

While there has been much research into using selectional preferences for word sense disambiguation (WSD), much difficulty has been encountered. To facilitate study into this difficulty and aid in WSD in general, a database of the selectional preferences of non-pertainym prenomial adjectives extracted from the Google Web 1T 5-gram Corpus is proposed. A variety of methods for computing the preferences of each adjective over a set of noun categories from WordNet have been evaluated via simulated disambiguation of pseudohomonyms. The best method of these involves computing for each noun category the ratio of single-word common (i.e. not proper) noun lemma types which can co-occur with a given adjective to the number of single-word common noun lemmata whose estimated frequency is greater than a threshold based on the frequency of the adjective. The database produced by this procedure will be made available to the public.
An Analytic Characterization of Model Minimization in Factored Markov Decision Processes
Authors: Guo Wenyuan , Leong Tze-Yun
Published: September 2022

Model minimization in Factored Markov Decision Processes (FMDPs) is concerned with finding the most compact partition of the state space such that all states in the same block are action-equivalent. This is an important problem because it can potentially transform a large FMDP into an equivalent but much smaller one, whose solution can be readily used to solve the original model. Previous model minimization algorithms are iterative in nature, making opaque the relationship between the input model and the output partition. We demonstrate that given a set of well-defined concepts and operations on partitions, we can express the model minimization problem in an analytic fashion. The theoretical results developed can be readily applied to solving problems such as estimating the size of the minimum partition, refining existing algorithms, and so on.
Integrating Transfer Learning in Synthetic Student
Authors: Li Nan , Cohen William , Koedinger Ken
Published: September 2022

Building an intelligent agent, which simulates human-level learning appropriate for learning math, science, or a second language, could potentially benefit both education in understanding human learning, and artificial intelligence in creating human-level intelligence. Recently, we have proposed an efficient approach to acquiring procedural knowledge using transfer learning. However, it operated as a separate module. In this paper, we describe how to integrate this module into a machine-learning agent, SimStudent, that learns procedural knowledge from examples and through problem solving. We illustrate this method in the domain of algebra, after which we consider directions for future research in this area.
A Distributed Method for Evaluating Properties of a Robot Formation
Authors: Beer Brent , Mead Ross , Weinberg Jerry
Published: September 2022

As a robot formation increases in size or explores places where it is difficult for a human operator to interact, autonomous control becomes critical. We propose a distributed autonomous method for evaluating properties of multi-robot systems, and then discuss how this information can be applied to improve performance with respect to a given operation. We present this as an extension of our previous work on robot formations; however, the techniques described could be adapted to other multi-robot systems.
Water Conservation Through Facilitation on Residential Landscapes
Authors: Hoenigman Rhonda , Bradley Elizabeth , Barger Nichole
Published: September 2022

Plants can have positive effects on each other in numerous ways, including protection from harsh environmental conditions. This phenomenon, known as facilitation, occurs in water-stressed environments when shade from larger shrubs protects smaller annuals from harsh sun, enabling them to exist on scarce water. The topic of this paper is a model of this phenomenon that allows search algorithms to find residential landscape designs that incorporate facilitation to conserve water. This model is based in botany; it captures the growth requirements of real plant species in a fitness function, but also includes a penalty term in that function that encourages facilitative interactions with other plants on the landscape. To evaluate the effectiveness of this approach, two search strategies--simulated annealing and agent-based search--were applied to models of different collections of simulated plant types and landscapes with different light distributions. These two search strategies produced landscape designs with different spatial distributions of the larger plants. All designs exhibited facilitation and lower water use than designs where facilitation was not included.
Conjunctive Query Inseparability of OWL 2 QL TBoxes
Authors: Konev Boris , Kontchakov Roman , Ludwig Michel , Schneider Thomas , Wolter Frank , Zakharyaschev Michael
Published: September 2022

The OWL 2 profile OWL 2 QL, based on the DL-Lite family of description logics, is emerging as a major language for developing new ontologies and approximating the existing ones. Its main application is ontology-based data access, where ontologies are used to provide background knowledge for answering queries over data. We investigate the corresponding notion of query inseparability (or equivalence) for OWL 2 QL ontologies and show that deciding query inseparability is PSPACE-hard and in EXPTIME. We give polynomial time (incomplete) algorithms and demonstrate by experiments that they can be used for practical module extraction.
Learning from Spatial Overlap
Authors: Coen Michael , Ansari M. , Fillmore Nathanael
Published: September 2022

This paper explores a new measure of similarity between point sets in arbitrary metric spaces. The measure is based on the spatial overlap of the “shapes” and “densities” of these point sets. It is applicable in any domain where point sets are a natural representation for data. Specifically, we show examples of its use in natural language processing, object recognition in images and point set classification. We provide a geometric interpretation of this measure and show that it is well-motivated, intuitive, parameter-free, and straightforward to use. We further demonstrate that it is computationally tractable and applicable to both supervised and unsupervised learning problems.
Computing an Extensive-Form Perfect Equilibrium in Two-Player Games
Authors: Gatti Nicola , Iuliano Claudio
Published: September 2022

Equilibrium computation in games is currently considered one of the most challenging issues in AI. In this paper, we provide, to the best of our knowledge, the first algorithm to compute a Selten's extensive-form perfect equilibrium (EFPE) with two--player games. EFPE refines the Nash equilibrium requiring the equilibrium to be robust to slight perturbations of both players' behavioral strategies. Our result puts the computation of an EFPE into the PPAD class, leaving open the question whether or not the problem is hard. Finally, we experimentally evaluate the computational time spent to find an EFPE and some relaxations of EFPE.
Market Manipulation with Outside Incentives
Authors: Chen Yiling , Gao Xi , Goldstein Rick , Kash Ian
Published: September 2022

Much evidence has shown that prediction markets, when used in isolation, can effectively aggregate dispersed information about uncertain future events and produce remarkably accurate forecasts. However, if the market prediction will be used for decision making, a strategic participant with a vested interest in the decision outcome may want to manipulate the market prediction in order to influence the resulting decision. The presence of such incentives outside of the market would seem to damage information aggregation because of the potential distrust among market participants. While this is true under some conditions, we find that, if the existence of such incentives is certain and common knowledge, then in many cases, there exists a separating equilibrium for the market where information is fully aggregated. This equilibrium also maximizes social welfare for convex outside payoff functions. At this equilibrium, the participant with outside incentives makes a costly move to gain the trust of other participants. When the existence of outside incentives is uncertain, however, trust cannot be established between players if the outside incentive is sufficiently large and we lose the separability in equilibrium.
Co-Training as a Human Collaboration Policy
Authors: Zhu Xiaojin , Gibson Bryan , Rogers Timothy
Published: September 2022

We consider the task of human collaborative category learning, where two people work together to classify test items into appropriate categories based on what they learn from a training set. We propose a novel collaboration policy based on the Co-Training algorithm in machine learning, in which the two people play the role of the base learners. The policy restricts each learner's view of the data and limits their communication to only the exchange of their labelings on test items. In a series of empirical studies, we show that the Co-Training policy leads collaborators to jointly produce unique and potentially valuable classification outcomes that are not generated under other collaboration policies. We further demonstrate that these observations can be explained with appropriate machine learning models.
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Authors: Viappiani Paolo , Boutilier Craig
Published: September 2022

Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and offer recommendations based on the system's belief about the user's utility function. We analyze the connection between the problem of generating optimal recommendation sets and the problem of generating optimal choice queries, considering both Bayesian and regret-based elicitation. Our results show that, somewhat surprisingly, under very general circumstances, the optimal recommendation set coincides with the optimal query.
DISCO: Describing Images Using Scene Contexts and Objects
Authors: Nwogu Ifeoma , Zhou Yingbo , Brown Christopher
Published: September 2022

In this paper, we propose a bottom-up approach to generating short descriptive sentences from images, to enhance scene understanding. We demonstrate automatic methods for mapping the visual content in an image to natural spoken or written language. We also introduce a human-in-the-loop evaluation strategy that quantitatively captures the meaningfulness of the generated sentences. We recorded a correctness rate of 60.34% when human users were asked to judge the meaningfulness of the sentences generated from relatively challenging images. Also, our automatic methods compared well with the state-of-the-art techniques for the related computer vision tasks.
Learning from Demonstration in Spatial Exploration
Authors: Munoz J. , Ozgelen Arif , Sklar Elizabeth
Published: September 2022

We present the initial stage of our research on Learning from Demonstration algorithms. We have implemented an algorithm based on Confident Execution, one of the components of the Confidence-Based Autonomy algorithm developed by Chernova and Veloso. Our preliminary experiments were conducted first in simulation and then using a Sony AIBO ERS-7 robot. So far, our robot has been able to learn crude navigation strategies, despite limited trials. We are currently working on improving our implementation by including additional features that describe more broadly the state of the agent. Our long term goal is to incorporate Learning from Demonstration techniques in our HRTeam (human/multi-robot) framework.
Exploiting Path Refinement Abstraction in Domain Transition Graphs
Authors: Gregory Peter , Long Derek , McNulty Craig , Murphy Susan
Published: September 2022

Partial Refinement A-Star (PRA* is an abstraction technique, based on clustering nearby nodes in graphs, useful in large path-planning problems. Abstracting the underlying graph yields a simpler problem whose solution can be used, by refinement, as a guide to a solution to the original problem. A fruitful way to view domain independent planning problems is as a collection of multi-valued variables that must perform synchronised transitions through graphs of possible values, where the edges are defined by the domain actions. Planning involves finding efficient paths through Domain Transition Graphs (DTGs). In problems where these graphs are large, planning can be prohibitively expensive. In this paper we explore two ways to exploit PRA* in DTGs.
Multiple-Instance Learning: Multiple Feature Selection on Instance Representation
Authors: Jhuo I-Hong , Lee D.
Published: September 2022

In multiple-Instance Learning (MIL), training class labels are attached to sets of bags composed of unlabeled instances, and the goal is to deal with classification of bags. Most previous MIL algorithms, which tackle classification problems, consider each instance as a represented feature. Although the algorithms work well in some prediction problems, considering diverse features to represent an instance may provide more significant information for learning task. Moreover, since each instance may be mapped into diverse feature spaces, encountering a large number of irrelevant or redundant features is inevitable. In this paper, we propose a method to select relevant instances and concurrently consider multiple features for each instance, which is termed as MIL-MFS. MIL-MFS is based on multiple kernel learning (MKL), and it iteratively selects the fusing multiple features for classifier training. Experimental results show that the MIL-MFS combined with multiple kernel learning can significantly improve the classification performance.
Ações de legitimidade e evidenciação contábil
Authors: Carvalho Juliana Ferreira de , Silva Lívia Janaína , Soares Juliano Lima
Published: September 2022

Empresas envolvidas em tragédias socioambientais têm despertado cada vez mais o interesse da sociedade e dos órgãos reguladores. Nesse sentido, os casos das empresas Samarco S.A. e Vale S.A. destacam-se no contexto brasileiro em função dos impactos socioambientais que ocorreram nas regiões em que operam. Desse modo, essa pesquisa visou analisar as ações de legitimidade social, segundo a tipologia de Suchman (1995), evidenciadas pelas empresas Samarco S.A. e Vale S.A., após os desastres de Mariana em 2015 e Brumadinho em 2019. Para tanto, classifica-se como qualitativa e utilizou-se como metodologia para responder ao problema de pesquisa a Análise de Conteúdo aplicada ao Relatório da Administração (RA) e Notas Explicativas (NE) das Demonstrações Financeiras (DF). O período de análise da Samarco S.A. foi de 2015 a 2020; já a análise da Vale S.A. compreendeu os anos de 2019 e 2020. Os principais resultados inferem que as empresas analisadas pretenderam ganhar legitimidade geral no período analisado. Essa legitimidade é utilizada como ação ou estratégia quando a empresa incorre em algum evento de conotação negativa e precisa assegurar a continuidade de suas operações. Ademais, nos casos da Samarco e Vale, percebe-se que os eventos referentes às tragédias foram reportados de maneira superficial e sem reconhecimento efetivo da culpabilidade dos responsáveis.
Legitimacy actions and accounting disclosure
Authors: Carvalho Juliana Ferreira de , Silva Lívia Janaína , Soares Juliano Lima
Published: September 2022

Companies involved in socio-environmental tragedies have increasingly aroused the interest of society and regulatory bodies. In this sense, the cases of the companies Samarco S.A. and Vale S.A. stand out in the Brazilian context due to the socio-environmental impacts they caused in the regions where they operate. Thus, this research aimed to analyze the actions of social legitimacy according to Suchman's typology (1995) evidenced by the companies Samarco S.A. and Vale S.A., after the Mariana disasters in 2015 and Brumadinho in 2019. Therefore, it is classified as qualitative and the Content Analysis applied to the Management Report (RA) and Notes was used as a methodology to answer the research problem. Explanatory Notes (NE) of the Financial Statements (DF). The period of analysis of Samarco S.A. was from 2015 to 2020; the analysis of Vale S.A., on the other hand, covered the years 2019 and 2020. The main results infer that the analyzed companies intended to gain general legitimacy in the analyzed period. This legitimacy is used as an action or strategy when the company incurs an event with a negative connotation and needs to ensure the continuity of its operations. Furthermore, in the cases of Samarco and Vale, it is clear that the events related to the tragedies were reported superficially and without effective recognition of the guilt of those responsible.
ANALYSIS OF INVESTMENTS TO STARTUPS DURING THE COVID-19 PANDEMIC PERIOD IN TURKEY
Authors: BALCI Nehir , KURT GÜMÜŞ Gülüzar
Published: September 2022

COVID-19 affected many industries in the world; the increasing uncertainty about how long the process will continue in the world economy has caused a decrease in consumer demand and a decline in money flow in the financial system. In the present study, it is targeted to deeply analyze the period which is called as new-normal and guide ecosystem members in terms of the investments received by the Turkish entrepreneurship ecosystem. Content analysis is one of the qualitative research methods used in this study. Content analysis was applied to two news bulletins from March 2020 to May 2021. As a result of the study, it is found that total investments exceed 1 billion $, average investment per startup was up to 10 thousand $, more than 200 startups receive investment. Investments were mostly made in a seed funding round. Investment amounts of Pre-seed, Seri A, B, C, D, F funding rounds were consistent with Turkey averages. On the other hand, the seed funding rounds’ investment amounts were significantly above the Turkey averages. The highest number of startups which receive investments were seen in the information technologies and services field of activity. The highest amount of investments was made in the marketplace field of activity. The maximum investment amount of 2021 belongs to the marketplace startup Getir. During the new-normal period the Turkish entrepreneurship ecosystem continued to grow but the average investment amount per startup was below the European and American averages. It is crucial to carry out studies in the Turkish entrepreneurial ecosystem through the public and private sectors and the ecosystem still needs to increase investments.
CONSUMER COMPLAINTS REGARDING OVERPRICING IN THE COVID-19 PERIOD AND MEASURES TAKEN IN TERMS OF COMPETITION LAW
Authors: CAVLAK Neslihan , SELVİ Murat Selim
Published: September 2022

The aim of this study is to describe consumer complaints about overpricing during the Covid-19 period, to determine and evaluate what kind of preventive and regulatory measures have been taken in terms of Competition Law in the world and in Turkey. The secondary data obtained using the Document Scanning method has been simplified and the sentences and paragraphs used as the analysis unit have been gathered under the same subheadings. The qualitative data obtained are given in tables; In addition, complaints regarding overpricing in the last 20 months on sikayetvar.com are classified. The findings that emerged in the complaint analysis on the sikayetvar.com site are presented both numerically and categorically in tables. The most frequently complained goods and services are domestic equipment and repairs, food, personal communication tools and services. The findings in the literature show that overpricing is applied by businesses in many countries with the Covid-19 epidemic. On the other hand, it has been revealed that the competition authorities of the countries impose sanctions on such companies that provide unfair profits. In this study, it has been pointed out that it is important to take the measures to eliminate the source of the problems with the common agreement of all parties, to include these measures in the market law and retail law to be enacted, and to constantly control the implementation of these measures.
BIBLIOMETRİC ANALYSIS OF ARTICLES ABOUT ECONOMICS PUBLISHED IN THE JOURNAL OF THE INTERNATIONAL MANAGEMENT ECONOMICS AND BUSINESS
Authors: ÇEŞTEPE Hamza , YÜKSEL Özlem
Published: September 2022

Bu çalışmada uluslararası, hakemli ve bilimsel bir dergi olan Uluslararası Yönetim İktisat ve İşletme Dergisi’nde 2005-2020 yılları arasında yayımlanmış olan iktisat makalelerinin bibliyometrik analizi yapılmıştır. Belirtilen dönemde derginin yayınlanmış 49 sayısında yer alan toplam 171 iktisat makalesi, bibliyometrik özellikleri açısından incelenmiştir. Yapılan incelemeler sonucunda, son 5-6 yılda dergide yayınlanan iktisat makalelerindeki artışın dikkat çekici düzeyde olduğu, makalelerin daha çok tek yazarlı ve iki yazarlı olarak hazırlandığı ve yazar unvanları içerisinde doktor öğretim üyelerinin ağırlıkta olduğu tespit edilmiştir. Bunun yanında, makalelerin dünya ve Türkiye ekonomisiyle ilgili güncel konuları incelemesi, makalelerde yabancı kaynak kullanımının ağırlıkta olması ve ortalama atıf sayısının Türkiye’de yayınlanan benzer dergilere göre nispeten iyi olması, derginin iktisat alanında üstün yönleri olarak belirlenmiştir. Derginin daha üst düzey endekslerde taranmaya başlaması, bu yönlerin daha çok güçlendirilmesi ve nispeten zayıf yönlerinin iyileştirilmesinde etkili bir faktör olacaktır.
Hanri Benazus’le Atatürk Fotoğrafları Koleksiyonu Üzerine
Authors: TUMAY Sadık
Published: September 2022

Hanri Benazus’ün Atatürk Fotoğrafları Koleksiyonu farklı disiplinler açısından önemli bir kaynaktır. Tarih, koleksiyon ve fotoğraf açısından farklı nitelikleriyle disiplinlerarası verilere sahiptir, değerlidir. Fotoğraf Koleksiyonu belli bir felsefe çerçevesinde çok sayıda fotoğrafçının çektiği fotoğrafların toplanmasıyla oluşturulmuştur. Bu yönüyle ayrıca üzerinde akademik anlamda çalışılması gerekmektedir. Konu araştırılırken koleksiyonculuğun modern ve zaruri bir faaliyet olduğu görülmüştür. Günümüzde ve öncesinde devam eden şekliyle medeniyetlerin tarihine sahip çıkmanın bir yansıması olarak somut ve somut olmayan kültürel mirası kayıt altına alma girişimlerinin aralıksız devam ettiği görülmektedir. Fotoğrafta bu yaklaşımın hem öznesi hem de nesnesi olarak işlevseldir. Türkiye’de, fotoğraf koleksiyonerliği ve fotoğraf koleksiyonlarıyla ilgili tespitlerde bulunulmuştur. Bu koleksiyonun ortaya çıkmasını sağlayan, Mustafa Kemal’in, Türkiye Cumhuriyeti’nin kuruluşu öncesi ve sonrası sürecinde yaşanılan olayları sürekli fotoğraflatmasıdır. Benazus koleksiyonunun oluşmasını sağlayan bu sistemli fotoğraflatma faaliyetidir. Benazus’ün bu modern bilince duyduğu saygı, sevgi ve hayranlık böyle bir koleksiyonun toplanmasını sağlamıştır. Benazus’le gerçekleştirilen farklı tarihlerdeki dijital mektuplaşmalarla konu irdelenmiştir. Bu koleksiyonun korunması sağlanmakla beraber, çağdaş anlamda fotoğraf koleksiyonu niteliklerine kavuşturulmalıdır.
Dissection and immunohistochemistry of mouse lung v1
Authors: Kim Seol-Hee
Published: September 2022

Mice are euthanized, perfused with fixative for lung tissue collection. Mouse lung is cryosectioned and slices are stained for protein expression using immunohistochemistry. Expression of specific proteins and reporter proteins are visualized using microscopy.
Rat brain processing for histological analyses (update) v2
Authors: not provided miquel.vila
Published: September 2022

Protocol for rat brain processing in order to perform histological analyses
ONT Post-PCR Pooling & Purification for Fungal Barcoding v2
Authors: Douglas Russell Stephen
Published: September 2022

Overview: The goals of this protocol are to pool your PCR product into a single 1.5 mL tube and to purify that product using magnetic beads. Time required: ~45 minutes (mostly waiting)
Çanakkale Kepez Beldesinin Planlama Tarihi Üzerinden Mekânsal Gelişiminin Değerlendirilmesi
Authors: KOÇ Pınar , SAKARYA İpek
Published: September 2022

Verimli tarım topraklarına sahip bir köy olarak kurulan Kepez’de 40 yıla yayılan kentleşme süreci boyunca kır yaşamı geride kalmış; yerini küçük ölçekli bir kent almıştır. 1980’den günümüze, Kepez Beldesi ve çevresine yapılan kamusal ve özel yatırımlar beldenin büyümesinde ve mekânın yeniden üretilmesinde etkili olmuştur. 1980’den günümüze kadar belde için farklı dönemlerde mekânsal politikalar üretilerek planlama kararları alınmıştır. Farklı dönemlerde farklı aktörlerin etkin olduğu planlama yaklaşımları kentin mevcut mekânsal formunu almasında önemli yer tutmuştur. Zamanla kırsal niteliklerini kaybeden Kepez, kentsel alanın büyümesiyle birlikte çevresindeki verimli tarım topraklarını da kaybetmeye başlamıştır. Bu çalışma kapsamında Kepez Beldesi’nin tarihsel süreçte geçirdiği mekânsal değişim 1980li yıllar, 1990lı yıllar ve 2000li yıllar olmak üzere üç dönemde ele alınmıştır. Bu çalışma, Kepez’in mevcut mekânsal formunun bugüne kadar alınan planlama kararlarıyla oluştuğunu ortaya koymaktadır.
Türkçenin İkinci Dil Olarak Öğretiminde Konuşma Becerisinin Görev Temelli Öğretim Yöntemi ile Geliştirilmesi
Authors: KARADAĞ Bilal Ferhat , GÖÇER Ali
Published: September 2022

Bireylerin ikinci dilde iletişim kurabilmesinin en önemli koşullarından biri iyi kazanılmış konuşma becerisine sahip olmaktır. Böylece kişilerarası iletişimini gerçekleştirerek günlük yaşamını sürdürebilmektedir. Bu araştırmanın amacı, Türkçeyi ikinci dil olarak öğrenen öğrenicilerin konuşma becerilerini gerçek yaşam görevlerine dayalı görev temelli öğretim yönteminden faydalanarak geliştirebilmektir. Bu bağlamda araştırma nitel araştırma yöntemi desenlerinden biri olan eylem araştırması deseniyle gerçekleştirilmiştir. Eylem araştırması süreci araştırmacılar tarafından geliştirilen 8 görevle tamamlanmış ve bu süreçte 16 uluslararası öğrenici katılımcı olarak çalışma grubunda yer almıştır. Araştırmanın verileri gözlem, görüşme ve dokümanlar aracılığıyla toplanmış ve elde edilen veriler içerik analizi ile analiz edilmiştir. Araştırma sonucunda görev temelli öğretim yöntemiyle gerçekleştirilen görevlerin, öğrenicilerin konuşma becerilerini geliştirdiği ve onları daha üretken bir yapıya kavuşturduğu görülmüştür. Öğrenicilerin süreç sonunda daha akıcı konuşabildikleri, kurdukları cümlelerdeki doğruluk oranının arttığı, farklı sözcükler öğrenerek bu sözcüklerin sesletimlerini başarılı bir biçimde gerçekleştirebildikleri tespit edilmiştir. Buradan hareketle öğrenicilerin konuşma becerisini geliştirebilmek için gerçek yaşam görevlerine dayanan görev temelli öğretim yönteminden faydalanılması gerektiği gibi çeşitli öneriler sunulmuştur.
Feminismo andaluz y maternidades
Authors: Cañero Ruiz Julia
Published: September 2022

La mayoría de corrientes feministas occidentales han mantenido relaciones conflictivas con la maternidad a lo largo de la historia. Sin embargo, al realizar un análisis en contextos concretos, como Andalucía, podemos descubrir cómo se han desarrollado una serie de activismos de madres que no siempre se han enmarcado dentro del movimiento feminista hegemónico. El presente artículo pretende indagar en la existencia o necesidad de un feminismo andaluz, con características propias ligadas al territorio, para posteriormente analizar si las maternidades y los activismos de madres desarrollados en este contexto pueden tener cabida como activismos feministas. Ambas líneas se desarrollarán a través del marco teórico de los feminismos decoloniales, por la necesidad de contextualización como sur, geográfico y epistemológico, y para recuperar ese conocimiento marginal que quedó fuera de la academia y de la mayoría de teorías feministas.
Literatura, traducción y poder
Authors: Benabdennour Saif
Published: September 2022

El presente artículo se enmarca en el campo de los estudios de la recepción de las traducciones. Uno de nuestros objetivos es intentar analizar la relación entre la traducción y la literatura. En el estudio arrojaremos luz sobre la relación traducción/recepción, traducción/ideología para ampliar nuestro enfoque. En este punto reflexionaremos sobre el papel de la traducción en la creación de nuevas modas literarias. Asimismo, trataremos el binomio traducción e ideología y su impacto sobre la operación traductora. Después, analizaremos las herramientas del sistema de control y las estrategias a las cuales recurre para poner límite al creador, al autor o al traductor. En el siguiente apartado, analizaremos el método seguido por las editoriales españolas a la hora de optar por la traducción de una obra literaria marroquí, y los factores que llevan a publicar una u otra. Al final, estudiaremos la recepción de esta literatura en España y el papel del aparato del poder en este proceso.
LANGUAGE INNOVATIONS OF RUSSIAN–UKRAINIAN WAR 2022
Authors:   Taras Shevchenko National University of Kyiv, Grytsenko Svitlana
Published: September 2022

Changes in society and in different areas of human activities, new historical and geopolitical conditions of existence of modern European states bring significant amendments in communicative strategy of speakers, help to appear innovative words and meanings, which reflect new facts of life of society. Social reasons of lingual changes are bound to communicative function of language, to desire to implement own abilities in providing of needs of society in communication, which helps to seek the most useful and semantically full tools of nomination. Newly created words "code" information in different aspects about particularities of life of certain epoch. Their quantity grows in critical moments of development of society, and Russian-Ukrainian war in 2022 became one of them. Innovations in language have collected all specter of emotions of Ukrainian people to invaders, their political assistants in Europe and world and attitude of Ukrainians to impotence and passivity of majority of Russians.Surnames of famous political persons and public figures (макронити, шойгувати, кадирити кімити, арестовлення, байденотерапія, путінферштеєр), their dominant properties (кремлівський терорист, рашистський фюрер, гебіст рашист, путіночет, путлер, лаптенфюрер, хапутін, капутін, пітерський гопник, директор бюро ритуальних послуг, бункерний хробак, кадебістський маніяк), literature characters (орки), Ukrainian toponims (чорнобаїти, начорнобаїти, відірпінити, перегостомелити), borrowing (путінферштеєр, байрактар, джавелін, стінгер) and other words were a motivator of creation of new words. Ukrainians use "language shield" as powerful tool of resistance against invaders, which helps to identify occupants by code words, using well known "shibolet" method, used in military tactic in many states in world.
SHEVCHENKO'S VIEW OF THE RUSSIAN MILITARY IN HIS STORIES
Authors:   Taras Shevchenko National University of Kyiv, Hudyma Anna
Published: September 2022

In our review we analyze various aspects of the Russian military, shown by T. Shevchenko in the stories "The Maidservant", "The Princess", "The Unhappy", "The Twins", "The Lady Captain", "The Artist", "The Walk with pleasure and not without morality" and to a certan extent in "The Musician". Namely in our analysis we consider the way of life of the Russian army – both current and retired, their moral principles, social status, the actual military component of life, including education and frontline science. Well acquainted with the life of the military, the writer creates a holistic picture of their world. In Shevchenko's stories there is a whole line of active and retired soldiers of the Russian army, whose integral companions of life are gambling and drunkenness. Paying his attention mainly to the cavalry, T. Shevchenko calls it an academy that educates soulless machines. The author refutes the notion of the nobility of Russian officers. The complete lack of love is what is inherent in these militaries. Notable are the images-characters of the cornet (the story "The Maidservant"), the captain ("The Lady Captain") and Zosym ("The Twins"). The life of the latter resonates meaningfully with the graphic series "The Prodigal Son" by T. Shevchenko. There is no wonder that the author calls Zosia "prodigal son". According to the author's concept, the prodigal son is a military man, mired in numerous vices and is not capable of rebirth, and the Russian military is portrayed as a factor of the dehumanization of the man. In the stories under consideration military service as such largely covers only a number of short mentions of the Franco-Russian and TurkishRussian wars. Military affairs in general are shown in the stories as "military housing", which placed a burden on the shoulders of the local population and mainly led to the wide-spread bastardy In the latter T. Shevchenko sees the greatest, most common evil of the Russian military machine. Ukrainian recruits Yakim Tuman ("The Lady Captain") and Yakiv Oberemenko ("The Walk with Pleasure and Not Without Morality") are opposed to the typical image of the Russian military. Ill-fated, but nevertheless humane and endowed with true nobility, they showed true Christian concern for their closed ones and managed to avoid destructive or even degenerative military influence.