bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing the Effectiveness of Adversary Modeling in Security Games
Authors: Nguyen Thanh , Yang Rong , Azaria Amos , Kraus Sarit , Tambe Milind
Published: June 2022

Recent deployments of Stackelberg security games (SSG) have led to two competing approaches to handle boundedly rational human adversaries: (1) integrating models of human (adversary) decision-making into the game-theoretic algorithms, and (2) applying robust optimization techniques that avoid adversary modeling. A recent algorithm (MATCH) based on the second approach was shown to outperform the leading modeling-based algorithm even in the presence of significant amount of data. Is there then any value in using human behavior models in solving SSGs? Through extensive experiments with 547 human subjects playing 11102 games in total, we emphatically answer the question in the affirmative, while providing the following key contributions: (i) we show that our algorithm, SU-BRQR, based on a novel integration of human behavior model with the subjective utility function, significantly outperforms both MATCH and its improvements; (ii) we are the first to present experimental results with security intelligence experts, and find that even though the experts are more rational than the Amazon Turk workers, SU-BRQR still outperforms an approach assuming perfect rationality (and to a more limited extent MATCH); (iii) we show the advantage of SU-BRQR in a new, large game setting and demonstrate that sufficient data enables it to improve its performance over MATCH.
Timelines with Temporal Uncertainty
Authors: Cimatti Alessandro , Micheli Andrea , Roveri Marco
Published: June 2022

Timelines are a formalism to model planning domains where the  temporal aspects are predominant, and have been used in many  real-world applications. Despite their practical success, a major limitation is the inability  to model temporal uncertainty, i.e. the plan executor cannot decide  the duration of some activities.In this paper we make two key contributions. First, we propose a comprehensive, semantically well founded framework that  (conservatively) extends with temporal uncertainty the state of the  art timeline approach. Second, we focus on the problem of producing time-triggered plans  that are robust with respect to temporal uncertainty, under a  bounded horizon. In this setting, we present the first complete  algorithm, and we show how it can be made practical by leveraging  the power of Satisfiability Modulo Theories.
A Pattern Matching Based Model for Implicit Opinion Question Identiﬁcation
Authors: Amiri Hadi , Zha Zheng-Jun , Chua Tat-Seng
Published: June 2022

This paper presents the results of developing subjectivity classifiers for Implicit Opinion Question (IOQ) identification. IOQs are defined as opinion questions with no opinion words. An IOQ example is "will the U.S. government pay more attention to the Pacific Rim?" Our analysis on community questions of Yahoo! Answers shows that a large proportion of opinion questions are IOQs. It is thus important to develop techniques to identify such questions. In this research, we first propose an effective framework based on mutual information and sequential pattern mining to construct an opinion lexicon that not only contains opinion words but also patterns. The discovered words and patterns are then combined with a machine learning technique to identify opinion questions. The experimental results on two datasets demonstrate the effectiveness of our approach.
Large-Scale Hierarchical Classification via Stochastic Perceptron
Authors: Liu Dehua , Tu Bojun , Qian Hui , Zhang Zhihua
Published: June 2022

Hierarchical classification (HC) plays an significant role in machine learning and data mining. However, most of the state-of-the-art HC algorithms suffer from high computational costs. To improve the performance of solving, we propose a stochastic perceptron (SP) algorithm in the large margin framework. In particular, a stochastic choice procedure is devised to decide the direction of next iteration. We prove that after finite iterations the SP algorithm yields a sub-optimal solution with high probability if the input instances are separable. For large-scale and high-dimensional data sets, we reform SP to the kernel version (KSP), which dramatically reduces the memory space needed. The KSP algorithm has the merit of low space complexity as well as low time complexity. The experimental results show that our KSP approach achieves almost the same accuracy as the contemporary algorithms on the real-world data sets, but with much less CPU running time.
How to Cut a Cake Before the Party Ends
Authors: Kurokawa David , Lai John , Procaccia Ariel
Published: June 2022

For decades researchers have struggled with the problem of envy-free cake cutting: how to divide a divisible good between multiple agents so that each agent likes his own allocation best. Although an envy-free cake cutting protocol was ultimately devised, it is unbounded, in the sense that the number of operations can be arbitrarily large, depending on the preferences of the agents. We ask whether bounded protocols exist when the agents' preferences are restricted. Our main result is an envy-free cake cutting protocol for agents with piecewise linear valuations, which requires a number of operations that is polynomial in natural parameters of the given instance.
An Antimicrobial Prescription Surveillance System that Learns from Experience
Authors: Beaudoin Mathieu , Kabanza Froduald , Nault Vincent , Valiquette Louis
Published: June 2022

Inappropriate prescribing of antimicrobials is a major clinical and health concern, as well as a financial burden, in hospitals worldwide. In this paper, we describe a deployed automated antimicrobial prescription surveillance system that has been assisting hospital pharmacists in identifying and reporting inappropriate antimicrobial prescriptions. One of the key characteristics of this system is its ability to learn new rules for detecting inappropriate prescriptions based on previous false alerts. The supervised learning algorithm combines instancebased learning and rule induction techniques. It exploits temporal abstraction to extract a meaningful time interval representation from raw clinical data, and applies nearest neighbor classification with a distance function on both temporal and non-temporal parameters. The learning capability is valuable both in configuring the system for initial deployment and improving its long term use. We give an overview of the application, point to lessons learned so far and provide insight into the machine learning capability.
GRADE: Machine Learning Support for Graduate Admissions
Authors: Waters Austin , Miikkulainen Risto
Published: June 2022

This paper describes GRADE, a statistical machine learning system developed to support the work of the graduate admissions committee at the University of Texas at Austin Department of Computer Science (UTCS). In recent years, the number of applications to the UTCS PhD program has become too large to manage with a traditional review process. GRADE uses historical admissions data to predict how likely the committee is to admit each new applicant. It reports each prediction as a score similar to those used by human reviewers, and accompanies each by an explanation of what applicant features most influenced its prediction. GRADE makes the review process more efficient by enabling reviewers to spend most of their time on applicants near the decision boundary and by focusing their attention on parts of each applicant’s file that matter the most. An evaluation over two seasons of PhD admissions indicates that the system leads to dramatic time savings, reducing the total time spent on reviews by at least 74%.
Scalable Randomized Patrolling for Securing Rapid Transit Networks
Authors: Varakantham Pradeep , Lau Hoong , Yuan Zhi
Published: June 2022

Mass Rapid Transit using rail is a popular mode of transport employed by millions of people in many urban cities across the world. Typically, these networks are massive, used by many and thus, can be a soft target for criminals. In this paper, we consider the problem of scheduling randomised patrols for improving security of such rail networks. Similar to existing work in randomised patrols for protecting critical infrastructure, we also employ Stackelberg Games to represent the problem. In solving the Stackelberg games for massive rail networks, we make two key contributions. Firstly, we provide an approach called RaPtoR for computing randomized strategies in patrol teams, which guarantees (i) Strong Stackelberg equilibrium (SSE); and (ii) Optimality in terms of distance traveled by the patrol teams for specific constraints on schedules. Secondly, we demonstrate RaPtoR on a real world data set corresponding to the rail network in Singapore. Furthermore, we also show that the algorithm scales easily to large rail networks while providing SSE randomized strategies.
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange
Authors: McElfresh Duncan , Dickerson John
Published: June 2022

In this work, we close an open theoretical problem regarding the price of fairness in modern kidney exchanges. We then propose a hybrid fairness rule that balances a lexicographic preference ordering over agents, with a utilitarian objective. This rule has one parameter which controls a bound on the price of fairness. We apply this rule to real data from a large kidney exchange and show that our hybrid rule produces more reliable outcomes than other fairness rules.
Learning to Detect Pointing Gestures From Wearable IMUs
Authors: Broggini Denis , Gromov Boris , Giusti Alessandro , Gambardella Luca
Published: June 2022

We propose a learning-based system for detecting when a user performs a pointing gesture, using data acquired from IMU sensors, by means of a 1D convolutional neural network. We quantitatively evaluate the resulting detection accuracy, and discuss an application to a human-robot interaction task where pointing gestures are used to guide a quadrotor landing.
"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot
Authors: Chkroun Merav , Azaria Amos
Published: June 2022

Chatbots have been a core measure of AI since Turing has presented his test for intelligence, and are also widely used for entertainment purposes. In this paper we present a platform that enables users to collaboratively teach a chatbot responses, using natural language. We present a method of collectively detecting malicious users and using the commands taught by these users to further mitigate activity of future malicious users.
Joint Learning of Evolving Links for Dynamic Network Embedding
Authors: Zhiyuli Aakas , Liang Xun , Chen YanFang , Shu Peng , Zhou Xiaoping
Published: June 2022

This paper studies the problem of learning node embeddings (a.k.a. distributed representations) for dynamic networks. The embedding methods allocate each node in network with a d-dimensions vector, which can generalize across various tasks, such as item recommendation, node labeling, and link prediction. In practice, many real-world networks are evolving with nodes/links added or deleted. However, most of the proposed methods are focusing on static networks. Although some previous researches have shown some promising results to handle the dynamic scenario, they just considered the added links and ignored the deleted ones. In this work, we designed a joint learning of added and deleted links model, named RDEM, for dynamic network embedding.
Selecting Proper Multi-Class SVM Training Methods
Authors: Chen Yawen , Wen Zeyi , Chen Jian , Huang Jin
Published: June 2022

Support Vector Machines (SVMs) are excellent candidate solutions to solving multi-class problems, and multi-class SVMs can be trained by several different methods. Different training methods commonly produce SVMs with different effectiveness, and no multi-class SVM training method always outperforms other multi-class SVM training methods on all problems. This raises difficulty for practitioners to choose the best training method for a given problem. In this work, we propose a Multi-class Method Selection (MMS) approach to help users select the most appropriate method among one-versus-one (OVO), one-versus-all (OVA) and structural SVMs (SSVMs) for a given problem. Our key idea is to select the training method based on the distribution of training data and the similarity between different classes. Using the distribution and class similarity, we estimate the unclassifiable rate of each multi-class SVM training method, and select the training method with the minimum unclassifiable rate. Our initial findings show: (i) SSVMs with linear kernel perform worse than OVO and OVA; (ii) MMS often produces SVM classifiers that can confidently classify unseen instances.
Physical and mechanical properties of cotton straw fibre and expanded polystyrene cementitious composite
Authors: Wu Gang , An Qiaoxia , Li Hongwei , Mou Dan
Published: June 2022

This aim of this work was to develop a low-cost, high-performance cement-based composite using straw cotton straw fibre (CSF) and expanded polystyrene (EPS). To this end, cement mortar specimens with different proportions of CSF (5%, 10% and 15%) and EPS (1%, 2% and 3%) were prepared. A control group (CG), without CSF or EPS was also tested. The compressive strengths, anti-splitting and flexural strengths of the specimens with different mix proportions were tested at for 7 days and 28 days. The thermal conductivity and water absorption of the specimens at 28 days were also measured. It was found that, for a constant content of CSF or EPS, the compressive strength and axial compressive strength of the samples at 28 days decreased with an increase of EPS or CSF content. The maximum compressive and axial compressive strengths of the CSF–EPS specimens were 37% and 42.6% lower than those of the CG, respectively, whereas the maximum flexural and anti-splitting strengths were 33% and 94% more than those of the CG. With an increase in the content of CSF and EPS, the water absorption of the specimens increased, whereas the thermal conductivity decreased. The cementitious composite made with 5–10% CSF and 1–2% EPS met the requirements for the mechanical properties and thermal insulation performance of self-insulating blocks.
Pedagogía diferenciada por sexos
Authors:   Universidad de Guayaquil, Reza Suárez Lilian Betty , Baque Pibaque Liliana Margarita ,   Universidad de Guayaquil, Placencia Ibadango Silvia Maribel ,   Universidad de Guayaquil
Published: June 2022

El presente texto pedagógico-didáctico es importante para los maestros, estudiantes y todos los interesados en que la educación atienda las necesidades específicas de sus alumnos, según sus capacidades y habilidades inmanentes a su sexo, ya que el cerebro del ser humano es bañado por una hormona específica desde el vientre de su madre, entregándole características, masculinas o femeninas, conductas y emociones y hasta la manera de asimilar los conocimientos de manera diferente, esto en asignaturas específicas como lenguaje y matemática donde las niñas tendrán solvencia natural en la primera y los hombres, por su lateralización son lógicos, tendrán facilidad en la abstracción y la matemática. El hecho es que, debido a que la coeducación está consagrada en la Carta magna del Ecuador desde 2008, y anunciada por Pestalozzi hace doscientos años, es importante que nuestros estudiantes disfruten en el aula de clases la compañía del sexo opuesto, pero al aplicar el proceso de enseñanza aprendizaje, el docente del siglo XXI atienda las características biológicas propias de cada sexo, aplique la equidad mediante una educación activa, en un ambiente de armonía potenciando así el rendimiento académico de ambos grupos.
SPATIO-TEMPORAL PATTERNS OF SNOWMELT PROCESSES IN THE CATCHMENTS OF THE UPPER KAMA
Authors:   Perm State University, Shaydulina Adeliya A. , Kalinin Vitaliy G. ,   Perm State University, Fasakhov Mikhail A. ,   Perm State University
Published: June 2022

The paper deals with the spatio-temporal dynamics of the snowmelt process in the catchments of the Upper Kama, differing in size and relief features and located both on the plains – gauging station (g/s) Kosa-Kosa (A=6,221 km2), g/s Kama-Gainy (A=27,822 km2) and in a mountainous territory – g/s Vishera-Ryabinino (A=31,084 km2). The calculations were carried out using the method of temperature coefficients integrated into the GIS for years with different meteorological conditions and duration of snowmelt: 2004, 2010, and 2015. An analysis of the calculation results showed that the average duration of snowmelt in the studied catchments is 32 days. The duration of snowmelt and the daily amount of melted snow are influenced by the intensity of the increase in positive air temperatures. The timing of the start of snowmelt varies much less than the timing of its end. The plain catchments are freed from snow cover earlier than the mountain one by an average of 20 days. This is due to the latitudinal and altitudinal zonality, as well as the significant dissection of the relief of the g/s Vishera-Ryabinino catchment. The process of intense snowmelt begins here, on average, 9 days later than in the plain catchments. The g/s Kosa-Kosa catchment is freed from snow cover earlier than the others, which is due to its small area and weak dissection. The influence of latitudinal zonality during the melting of snow cover is best seen in the meridional catchment g/s Kama-Gainy. The southern and central parts of the catchment area are freed from snow first, later followed by the northern part.
INTRAREGIONAL ANALYSIS OF IMAGES OF A TERRITORY IN THE DISCOURSE OF SOCIAL MEDIA (A CASE STUDY OF THE NORTH CAUCASUS FEDERAL DISTRICT)
Authors:   North Caucasus Federal University, Tkacheva Tatiana A. , Suprunchuk Ilya P. ,   North Caucasus Federal University
Published: June 2022

The article examines the territorial features of the representation of the municipalities of the North Caucasus Federal District in leading social media. We analyze the main approaches to defining the geographical image of a territory; explore the theoretical foundations underlying the study of social media from the perspective of geographical science; identify a set of research terms and concepts used to analyze images of territories in social media. The paper proposes a new method of multi-scale monitoring of the territory’s image in social media, which can be adapted for other regions of Russia. The analysis of information in social media makes it possible to identify the peculiarities of the representation of a particular territory, as well as the mental connections between municipalities, cities, regions, and the degree of their influence on the geographical image of each other. With the data collected by the Medialogia information and analytical system, the geography of publications, their authors, their audience at the federal, regional, and local levels were studied. Based on this material, the intensity, both absolute and relative, and the tonality of the information flow for each municipality of the North Caucasus Federal District were determined. The leading regional centers for the formation of social media content were identified. The most frequently mentioned topics, words, and hashtags in relation to each territory were considered. A geographical analysis of the features of the formation of information messages was carried out, which made it possible to identify territories with a predominance of an external or internal image. On the basis of the analysis, the characteristic types of the information flow structure were proposed. The main problems of forming a positive image of the North Caucasus territory in social media are were identified. The results obtained are of practical significance for territorial branding and promotion of the region's territories in social media.
MAPPING OF THE VEGETATION COVER OF THE PERM REGION BASED ON LANDSAT SATELLITE IMAGES
Authors:   Perm State University, Shikhov Andrey N. , Semakina Anastasia V. ,   Perm Branch of the Federal State Institution ‘Roslesinforg’
Published: June 2022

The paper deals with the methodology and results of Landsat-based vegetation cover mapping for the Perm region. Initial Landsat images were obtained in 2016–2020. The map building technique is based on the supervised classification of satellite images and subsequent post-processing. This technique involves the use of a number of additional sources, in particular, the results of global-Landsat-based mapping of forest disturbances, water surface, and arable lands, as well as reforestation areas on abandoned agricultural lands. As a result, a map with a spatial resolution of 30 m (which corresponds to a scale of 1:100,000) has been created. The map legend includes 19 thematic classes, 11 of them contain information on forest vegetation. The accuracy assessment of the obtained data was carried out with the use of a MODIS-based map of the vegetation cover of Russia and also forest inventory data on two forestries of the Perm region. The highest classification accuracy is typical for dark-coniferous and pine forests (it is about 70% according to the map of the vegetation cover of Russia, and up to 75% according to the forest inventory data). Deciduous forests are recognized with the lowest accuracy since, according to the classification results, they were partly categorized as mixed forests (with a predominance of deciduous species). The practical use of the created map of the vegetation cover may include estimation of long-term changes for individual vegetation classes (in particular, for intact forest landscapes), or various calculations based on the species composition and age structure of the forests. The compiled map of the vegetation cover of the Perm region is available at https://figshare.com/s/98d29e83d1f2039b2528.
RIVERBANK EROSION ON THE OB AND THE IRTYSH AND ITS CONNECTION WITH THE RIVER CHANNEL MORPHOLOGY
Authors:   Lomonosov Moscow State University, Kurakova Anna A.
Published: June 2022

This is the first study to provide generalized description of dangerous channel processes – riverbank erosion, conditions and patterns of its development for the Middle and Lower Ob (from the mouth of the Tom River to the city of Salekhard) and the Lower Irtysh (from the confluence with the Tobol River to the mouth). The geological and geomorphological conditions for the formation of the river channels and changes in the water content of the rivers downstream entail a change in the rate of riverbank erosion. On the Middle and Lower Ob, with a wide variety of channel types, the most active re-formations can be seen along the channel bends and the bends of the branches of the floodplain-channel branching and the bifurcated channel. On the Lower Irtysh, which has a predominantly meandering channel, riverbank erosion is confined to the free bends of the channel. The parameters of the channel forms, which determine the hydraulics of the flow, affect the characteristics of riverbank erosion (speed and length of the front). With an increase in the degree of bend development, the riverbank erosion rates increase with a simultaneous reduction in the length of the erosion front. On flat bends, there is no directional trend in the change in the riverbank erosion rates, but there is an increase in the length of the erosion front. The elongation of the riverbank erosion front is also traced for bends and forks of the channel with a larger step. The increase in the order of the river, which characterizes its water content, is accompanied by an increase in the rate of riverbank erosion on the Lower Irtysh. On the Ob, a significant contribution is made by the dispersal of the water runoff along the branches of the forks and forked channels, as well as the diversion of part of the runoff into floodplain channels (branches) and onto the inundated floodplain. The data obtained are of great importance for the development of water resources and the riverine areas of the Ob and Irtysh.
Plantas y prácticas de conservación de la medicina tradicional en el suroriente de El Tambo, Cauca, Colombia
Authors: Polindara Moncayo Yordy Werley , Sanabria Diago Olga Lucia
Published: June 2022

Antecedentes: El suroriente del municipio de El Tambo, Cauca, Colombia tiene un área de 34, 68 Km2 de Bosque Seco Tropical (Bs-T), donde habitan 1,036 mestizos y afrodescendientes, en una región de complejidad social, cultural y económica, los cuales son atendidos por los especialistas de la medicina tradicional, quienes usan, manejan y conservan las plantas medicinales, mediante un conocimiento tradicional que se adapta, transforma y dinamiza, a través de diferentes prácticas. Preguntas: ¿Cuáles son las prácticas de los especialistas de la medicina tradicional que buscan conservar las plantas medicinales en el suroriente de El Tambo, Cauca, Colombia? Sitio y años de estudio: suroriente de El Tambo, Cauca-Colombia; enero 2017 a agosto 2019. Métodos: La investigación se realizó con base en la etnobotánica cualitativa y cuantitativa, la investigación-acción-participativa–IAP, historias de vida, índice cualitativo de Jaccard, revisión bibliográfica de los estados de riesgo de extinción y procedencia, entrevistas consensuadas, a través del método Delphi para 101 especies de plantas medicinales usadas, manejadas y conservadas por cinco especialistas de la medicina tradicional. Resultados: Se describieron 101 especies de plantas medicinales en Bs-T del suroriente de El Tambo, utilizadas entre las parteras, sobanderos, hierbateras y médicos tradicionales, quienes las conservan mediante 10 prácticas del sistema médico local. Conclusiones: Los especialistas de la medicina tradicional protegen una memoria de 10 prácticas médicas tradicionales que han sido heredadas generacionalmente, aprendidas y revitalizadas, permitiendo conservar una diversidad de 101 especies de plantas medicinales que tratan 243 enfermedades físicas y culturales diferentes.
O Mestiço na “Urgência de Existência”. Essa Dama Bate Bué! (2018), de Yara Monteiro
Authors: Pimenta Susana
Published: June 2022

No atual panorama cultural lusófono (2010–2020), vários artistas da geração da pós-memória (Hirsch, 2016), herdeiros do trauma colonial, têm vindo a desconstruir ou a reparar equívocos, injustiças e desigualdades consequentes do sistema colonial, assim como há um conjunto de investigadores que lutam por políticas da memória mais justas, de modo a reparar a Europa na forma como pensou, classificou e imaginou os mundos distantes. A partir do romance de estreia de Yara Monteiro (1979–), Essa Dama Bate Bué! (2018), este artigo pretende analisar a forma como a condição pós-colonial e mestiça da “geração da pós-memória” lusófona é perspetivada. As memórias permitem indagar sobre o passado colonial e sobre as raízes e heranças culturais das gerações seguintes situadas “entre-lugares” (Bhabha, 1994/1998), como é exemplo o mestiço. Yara Monteiro enceta a discussão sobre o trauma, a mestiçagem, a humanidade, e ainda sobre uma possível universalidade ou uma possível reparação histórica, procurando normalizar no discurso europeu o outro lado da mestiçagem. Verifica-se que o processo de identificação do mestiço é ainda hoje problemático, reclamando por isso uma “urgência de existência”.
Türk Sinemasında Yeni Beyaz Yakalı Temsili: Son Çıkış ve Küçük Şeyler Örnekleri
Authors: KINA Sezer Ahmet
Published: June 2022

Türk sinemasında neoliberal üretim ilişkilerinde varlık gösteren yeni beyaz yakalı çalışan temsili 2010’lu yıllarla birlikte belirginleşmeye başlamıştır. Bu çalışmada güvencesiz ve fikir-yoğun endüstrilerde çalışan yeni beyaz yakalıların, neoliberal dönüşüme dair çapraz okumalar yapılarak sinemadaki temsilleri çözümlenmiştir. Böylece yeni beyaz yakalıların iş ve ev yaşamı arasındaki ayrımlarının silikleştiği, özel alanın piyasacı bir mantıkla soğurulduğu toplumsal, ekonomik, kültürel ve siyasal görünümlerin çerçevelenmesi amaçlanmıştır. Çalışmada amaçlı örnekleme aracılığıyla senaryosunu N. Can Kantarcı’nın yazdığı, Ramin Matin yönetmenliğinde hazırlanan Son Çıkış (2018) ile Kıvanç Sezer’in yazıp yönettiği Küçük Şeyler (2019) filmleri incelenmiştir. Türk sinemasında daha önce toplumsal üretimin nasıl örgütlendiği ve kaynakların ne şekilde dağıtıldığı sorularına yanıt arayan filmler üzerinden örneklemin özgünlüğünün altı çizilmiştir. Böylece örneklem üzerinden tematik ve anlatısal bir çözümleme yapılmıştır. Bunun yanı sıra kısmi olarak mizansen ve düzenleme temelli değerlendirmeler yapılarak kurgulanmış görüntü odağa alınmıştır. Filmlerde anlatılan hikâyelerin üretim ilişkileri, gündelik yaşam pratikleri ve kentsel çevre yapılanması üzerinden sahici ve gerçeklik yüklü referansları, içerisinde bulunulan maddi koşullara dair bir farkındalığı açıkça geliştirme eğilimi taşıdığını göstermiştir. Bununla birlikte metinlerde her ne kadar kurmaca bir biçemle de olsa söz konusu koşulların oluşturduğu somut durumun somut tahlilinin yapılmasının ötesine geçen bir anlatısal öğenin bulunmadığı tartışılmıştır.
[RETRACTED] Myco Nootropic Brain Gummies - The #1 Choice For Cognition Enhancement v1
Authors: not provided yeabhenkelo
Published: June 2022

[RETRACTED]

Myco Nootropic Brain Gummies Reviews is a dietary supplement that empowers your neurons to boost your cognitive attributes
[RETRACTED] Leanfitism Keto [Top Rated] Reviews “Real or Fake” Full Info? v1
Authors: H H
Published: June 2022

[RETRACTED]

Practicing good eating habits stays a smart thought, however best of all, when you thin out, you'll foster better desires automatically.
[RETRACTED] Unabis CBD Gummies - 100% EFFECTIVE AND TESTED GUMMY!Worth Buying or Fake Scam? v1
Authors: not provided AdteBeist
Published: June 2022

[RETRACTED]

-->Unabis CBD Gummies - 100% EFFECTIVE AND TESTED GUMMY!Worth Buying or Fake Scam?
[RETRACTED] ViaKeto Apple Gummies Customer Scam Result 2022 & Negative Side Effects v1
Authors: not provided officialviaketo
Published: June 2022

[RETRACTED]

This weight loss solution has been scientifically shown to assist customers in effortlessly shedding excess calories with no severe side effects. Before using this product,
[RETRACTED] Keto Advanced 1500 ( Worth Scam ): Don’t Buy Until Read this Latest Report! v1
Authors: not provided willturnar
Published: June 2022

[RETRACTED]

Keto Advanced 1500
La construcción de la villana en películas clásicas de Disney
Authors: Monleón Oliva Vicente
Published: June 2022

La cultura visual se entiende como una representación de una ideología concreta de manera ficticia y la posterior difusión de dicho mensaje en la realidad, atendiendo de forma sesgada a un criterio de verdad.  La cinematografía de animación es un apéndice de la cultura visual y se selecciona para dicho estudio debido a la influencia que tiene respecto a la población infantil en relación a su educación. Esta investigación recurre a una metodología plural para analizar a las 11 villanas principales de la colección “Los clásicos” Disney. Se genera una aproximación atendiendo al componente estético y ético de dichas figuras para manifestar los mensajes que la población infantil asimila tras el visionado de dichos filmes. Una de las consideraciones finales más significativas se centra en la percepción de la villana como mujer que rompe con los estereotipos machistas y directrices estipuladas por el heteropatriarcado.
Reproductive Morphology of the Golden tree snake Chrysopelea ornata (Serpentes: Colubridae) from Ao Nang, Krabi Province, Thailand
Authors: Likhityungyuen Thanaphon , Pimsorn Rujikorn , Prompa Tanatpon , Pongsuchart Mongkol , Tumkiratiwong Panas
Published: June 2022

We monitored the reproductive morphology of the female and male Golden tree snake, Chrysopelea ornata. The females and males were collected during a year from Ao Nang, Muang Krabi, Krabi province, a southern part of Thailand. We investigated the female and male reproductive systems via anatomical and histological approaches. The results demonstrated that the reproductive tracts of females and males were located above the kidney and its right tract was more anteriorly than the left tract. Ovarian follicles were classified into the previtellogenic, early vitellogenic, and late vitellogenic follicles. Previtellogenic follicles were contained three types of cells in the multi-layered granulosa layer: small, intermediate, and large pyriform cells. This such layer becomes the single layer in which the pyriform cells were disappeared in the vitellogenic follicles. Various stages including corpora lutea, gestation, oviposition, and birth were all observed in this study. The oviductal structure of the Golden tree snake was divided into four regions: anterior and posterior infundibulum, uterus, and vagina. The anterior oviductal wall was covered by ciliated and non-ciliated cuboidal epithelial cells and a thin muscularis layer while its posterior portion was contained by ciliated and non-ciliated cuboidal and columnar epithelial cell, and a thick muscularis layer. We found the tubular ciliated glands in the posterior infundibulum. Additionally, the hypertrophied uterine glands in the uterus were observed during the vitellogenic stage. The seminiferous tubules were active simultaneously with the hypertrophied sexual segment of the kidney.
Palm Press Fibre and Rice Straw for Cultivation Grey Oyster Mushroom (Pleurotus sajor-caju)
Authors: Naher Laila , Mazlan Nur Aizzah , Hamzah Nurul Adibah Binti , Islam Sainul , Ab Rhaman Siti Maryam Salamah
Published: June 2022

Sawdust (SD) usually sourced from rubber plant is commonly used as substrate to cultivate the grey oyster mushroom Pleurotus sajor-caju in Malaysia. However, the market price of SD is increasing because of its declining availability. Thus, this study aimed to discover an alternative substrate to cultivate grey oyster mushroom. The raw materials used in the substrate were oil palm pressed fiber (PPF), rice straw (RS) and SD, either alone or in combination with different ratios including T1: 90% SD + 10% rice bran (commercial substrate as control); T2: 30% RS + 20% SD + 50% PPF; T3: 50% RS + 50% PPF; T4: 100% RS; and T5: 100% PPF. The suitability of the substrates was determined based on growth, yield, nutrition and mineral content in the mushrooms. The growth and yield of the mushroom fruiting body on the different substrates showed significant differences. The shortest harvesting day was obtained in T4 (100% RS) after 29 days, whereas the longest harvesting day was obtained in T1 (90% SD + 10% rice bran) after 51 days. The highest yield was obtained in T4. Nutrition analysis showed significant difference among the treatments. The highest amounts of protein (26%) and ash (1.29%) were found in T5. Overall, the results showed that mushroom yield performance was good in RS but nutritional content was the highest in PPF. Therefore, RS and PPF have good impact for mushroom growers either in commercial production or in functional food industry to reduce SD dependency.
Anti-Inflammatory Activity of Alpinia malaccensis (Burm. f.) Roscoe and Kaempferia galanga L. Rhizome Essential Oil Gel Formulations by Carrageenan Induction Method
Authors: Muchtaridi Muchtaridi , Abdullah Derif A. , Suhandi Cecep , Sumiwi Sri A. , Khairul Ikram Nur Kusaira
Published: June 2022

Bioactive compound from essential oils of Alpinia malaccensis (AM) and Kaempferia galanga (KG) rhizomes, respectively, such as methyl cinnamate and ethyl-p-methoxycinnamate (EPMS) have been reported to have anti-inflammatory activity. The present study aimed to determine the topical anti-inflammatory activity of 3 gel formulations (Formula 1, 2 and 3) having different concentrations of essential oil from AM and KG rhizomes. The gelling agent used in this study was Carbopol 934. The physicochemical parameters of the gel formulations such as organoleptic, pH, viscosity, and spreadability as well as hedonic test were also examined. The anti-inflammatory activity assay was carried out using the carrageenan induced rat paws edema method. The chemical composition of AM and KG rhizomes was identified by GC-MS with LRI index. The major essential oils content in AM and KG rhizome was methyl cinnamate (58.80%) and ethyl-p-methoxy cinnamate (59.68%), respectively. Based on the results of physical evaluation, hedonic test and anti-inflammatory activity, Formula 1 with 5% AM and 2.5% KG essential oils is the best formula with % inflammation inhibition of 36.32 ± 6.32%.
Carrier Density and Thickness Optimization of InxGa1-xN Layer by Scaps-1D Simulation for High Efficiency III-V Solar CelL
Authors: Manzoor Habib Ullah , Tan Aik Kwan , Ng Sha Shiong , Hassan Zainuriah
Published: June 2022

In this study, the indium gallium nitride (InxGa1-xN) p-n junction solar cells were optimized to achieve the highest conversion efficiency. The InxGa1-xN p-n junction solar cells with the whole indium mole fraction (0 £ x £ 1) were simulated using SCAPS-1D software. Optimization of the p- and n-InxGa1-xN layer's thickness and carrier density were also carried out. The thickness and carrier density of each layer was varied from 0.01 to 1.50 µm and 1015 to 1020 cm-3. The simulation results showed that the highest conversion efficiency of 23.11% was achieved with x = 0.6. The thickness (carrier density) of the p- and n-layers for this In0.6Ga0.4N p-n junction solar cell are 0.01 (1020) and 1.50 μm (1019 cm-3), respectively. Simulation results also showed that the conversion efficiency is more sensitive to the variations of layer's thickness and carrier density of the top p-InxGa1-xN layer than the bottom n-InxGa1-xN layer. Besides that, the results also demonstrated that thinner p-InxGa1-xN layer with higher carrier density offers better conversion efficiency.
The Cultural Continuum of the Eurasian Boreal Zone and the Eastern Siberian Wedge (Based on Comparative Mythology and Paleogenetics)
Authors:   Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, Berezkin Y. E.
Published: June 2022

За последние десять лет в Электронный каталог фольклора и мифологии мира были введены резюме многих тысяч текстов, записанных в Европе и Азии. Их обработка показывает наличие систематических параллелей между традициями Западной Евразии и Америки, в частности индейцев Равнин. Особенно заметны подобные мотивы в древнегреческой мифологии (падение Фаэтона, Пасифая и бык, борьба карликов с перелетными птицами и др.). О подобных параллелях было известно еще в XIX в., но они долго не могли получить объяснение. Положение изменилось благодаря новым данным по палеогенетике Сибири. Ранее пика ледникового максимума (Янская стоянка, Мальта) население Восточной Сибири обнаруживает генетическую связь с популяциями европейской части Евразии. Примерно к середине голоцена происходит смена населения; она не была резкой, но в итоге повлекла за собой расчленение первоначального культурного континуума в пределах бореальной зоны Евразии, продолженного затем в Новый Свет. Среди западноевразийско-американских мотивов значительную часть составляют эпизоды приключенческих повествований. Напротив, среди параллелей между традициями индо-тихоокеанской окраины Азии и Америки преобладают в узком значении мифологические (этиологические и космологические) мотивы, включая те, которые, вероятно, имеют древнее африканское происхождение. Начиная с гунно-сарматского, если не со скифского времени, происходил массовый перенос на запад Евразии мотивов южно-сибирского и центрально-азиатского происхождения. Античные источники отражают более раннее состояние европейской мифологии — отсюда отличие древнегреческого набора мотивов от характерного для поздних традиций Европы.
Philip Johan Tabbert von Strahlenberg: An 18th Century Swedish Prisoner’s Research in Siberia
Authors:   Institute of Archaeology and Ethnography, Siberian Branch, Russian Academy of Sciences, Borisenko A. Y.
Published: June 2022

В статье рассматривается деятельность Ф.И. Табберта фон Страленберга, связанная с изучением древних и традиционных культур народов Западной Сибири и Минусинской котловины, в период его пребывания в Сибири в качестве военнопленного. Дается краткий историографический обзор по теме исследования. Показаны условия, в которых ученый проводил свои изыскания. Прослежены направления исследовательских интересов Ф.И. Страленберга с момента его приезда в столицу Сибири и до возвращения на родину: картографическое, этнографическое и археологическое изучение окрестностей Тобольска, всей Западной Сибири, Минусинской котловины в горах Южной Сибири. Раскрываются некоторые эпизоды исследовательской и собирательской деятельности; отмечены сложности, с которыми сталкивался ученый в ходе работы, в частности при формировании коллекций древних вещей и памятников письменности. Представлены некоторые результаты его исследований. С современных научных позиций оценивается их значение для российской археологии на этапе формирования вещественной и информационной источниковой базы, определяется место Ф.И. Страленберга в ряду первых исследователей древних и традиционных культур Западной и Южной Сибири. Отмечена организационная и консолидирующая роль Российской академии наук в проведении научных исследований на отдаленных окраинах Российского государства в начале XVIII в.
The Kyrgyz Republic: Concept, Strategies, and Practices for the Preservation of the National Cultural Heritage
Authors:   Institute of Archaeology and Ethnography, Siberian Branch, Russian Academy of Sciences, Oktyabrskaya I. V. , Alymkulova S. K. ,   Arabaev Kyrgyz State University, Nazarov I. I. ,   Institute of History and International Relations, Altai State University, Samushkina E. V. ,   Institute of Archaeology and Ethnography, Siberian Branch, Russian Academy of Sciences
Published: June 2022

Работа посвящена проблеме становления концепта «культурное наследие» в Кыргызской Республике — особенностям кодификации, стратегиям сохранения и популяризации историко-культурного и нематериального культурного наследия. Исследование опирается на широкий круг источников, в т.ч. на оригинальные полевые материалы. Представлена история разработок концепции культурного наследия Кыргызской Республики, даются ее характеристика и системное описание институционального и содержательного аспектов, аналитический обзор практик актуализации. Историко-культурное наследие рассматривается как многомерное пространство. Анализ реалий современного Кыргызстана позволяет сделать вывод о том, что в сфере культуры, сохранения и популяризации культурного наследия в стране действуют интеграционные стратегии межгосударственных взаимодействий. Апеллируя к культурному наследию и традиционным ценностям, республика укрепляет связи со странами СНГ, интегрируется в центральноазиатское сообщество, утверждает свое место в мировом цивилизационном пространстве. Актуализация историко-культурного наследия в современном Кыргызстане связана со структурированием его духовных, интеллектуальных и нравственных ценностей. Культурное наследие оценивается как один из важнейших ресурсов социокультурных преобразований и экономической стабилизации локальных сообществ. Его сохранение и популяризация на уровне повседневной культуры, академических, образовательных, музейных, фестивальных и прочих практик является условием национальной консолидации.
Induced blood oxidation in myocardial revascularization
Authors: Shereshneva Marina V. , Ilyin Mikhail  V. , Sandugey Anna V. , Zotov Alexander S.
Published: June 2022

Background: The use of artificial circulation in surgical myocardial revascularization is one of the key pathogenetic factors in the development of the oxidative stress and systemic inflammatory response in the postoperative period. Aims: the purpose of the study was to describe the dynamics of the induced blood oxidation parameters during coronary artery bypass surgery in the conditions of artificial circulation and on the working heart. Methods: The study included 64 patients who underwent coronary bypass surgery, with 31 (48.4%) on-pump patients and 33 (51.6%) off-pump patients. The oxidative stress simulations were conducted under the in vitro conditions. The blood oxidation-induced values were studied using a biological oxygen monitor. Results: In patients with coronary heart disease, regardless of the choice of the revascularization method (on-pump / off-pump), we observed statistically significantly (p 0.05) higher initial and maximum blood oxidation rates, the oxidative activity factor, and a shorter initiation period than those in healthy volunteers. No significant differences were found by the inter-group comparison analysis both 10 days and 6 months post-surgery. Conclusion: The indicators of induced blood oxidation do not depend on the method of revascularization during coronary bypass grafting (artificial circulation or a working heart). The changes in the parameters indicating activation of the oxidative and antioxidant blood systems may be transient by their nature and occur in the early postoperative period.
Library Best Practices Expert System (LIBPES): Proposal for a Conceptual Prototype
Authors: Deshpande Bhalachandra S. , Sajana C.
Published: June 2022

Artificial Intelligence (AI) concepts and technologies can assist Library Professionals in Library management by providing information support systems such as Recommendation Systems, Expert Systems (ES), and Decision Support Systems. This paper proposes the application of AI in Library and information practice through an Expert System for Library management namely Library Best Practices Expert System (LIBPES). The proposed approach is expected to provide situation specific advice based on user (Library Professional) input and requests using case specific data from Five Laws of Library Science, LIS Expert suggestions and various Library Standards, theories, guidelines and principles. The detailed architecture of the proposed expert system and the various User Interface modules are described. While there is some literature on the use of expert systems in libraries, there is no work on giving an all-inclusive search result to the decision maker. Hence, the proposed system can be a basic companion to any Librarian or a library policy maker for overall Library management and decision making.
Reading Habits of School Students: A Case Study
Authors: Murugan M. , Dorairajan M.
Published: June 2022

This article examines students’ reading habits, their preferences and trends in traditional reading, i.e. books and other printed materials in the library in the digital era. The study was carried out in a reputed public school in South India, with a well stocked library and offering digital information access and services to the students and staff. The study is based on factual data downloaded from the computerised circulation data and data collected through a questionnaire. It was found that the habit of reading printed books has not been much affected by the digital era. Providing periodic exposure to the latest books to students, involving them in book selection and other motivating practices keeps the students’ book reading habits intact.
Knowledge Sharing Practices, Innovation Strategy, and Knowledge Sharing behaviour: Role of Mutual Trust
Authors: Kumar Narsingh , Kumar Smriti , Pandey Vijyendra
Published: June 2022

Knowledge sharing and mutual trust are culture-specific virtues and vital components for organizations’ success. In this research, we investigated the effect of Organizational Knowledge Sharing Practices (OKSP) and Innovation Strategy (IS) on Knowledge Sharing (KS) among Indian service sector employees. Moreover, moderating role of Mutual Trust (MT) between Organizational knowledge sharing practices, Innovation strategy, and Knowledge sharing was also examined on a sample of 150 service sector employees (Male = 112, Female = 38). The correlation results revealed that Organizational knowledge sharing practices and Innovation Strategy significantly and positively correlated with Knowledge Sharing dimensions- explicit knowledge sharing and tacit knowledge sharing. Furthermore, stepwise regression analyses to examine the moderating effect of Mutual trust revealed that Organizational knowledge sharing practices significantly predicted explicit knowledge sharing (β = .48; p<.01) and tacit knowledge sharing (β = .51; p<.01) in the group with high mutual trust. Thus, cultural traits and behaviors such as trust and knowledge sharing would be inculcated within organization practices to experience better psychological and organizational outcomes.