bluuebunny/crossref_metadata_2025 huggingface dataset:
Two Influence Maximization Games on Graphs Made Temporal
Authors: Boehmer Niclas , Froese Vincent , Henkel Julia , Lasars Yvonne , Niedermeier Rolf , Renken Malte
Published: August 2021

To address the dynamic nature of real-world networks, we generalize competitive diffusion games and Voronoi games from static to temporal graphs, where edges may appear or disappear over time. This establishes a new direction of studies in the area of graph games, motivated by applications such as influence spreading. As a first step, we investigate the existence of Nash equilibria in competitive diffusion and Voronoi games on different temporal graph classes. Even when restricting our studies to temporal paths and cycles, this turns out to be a challenging undertaking, revealing significant differences between the two games in the temporal setting. Notably, both games are equivalent on static paths and cycles. Our two main technical results are (algorithmic) proofs for the existence of Nash equilibria in temporal competitive diffusion and temporal Voronoi games when the edges are restricted not to disappear over time.
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
Authors: Wei Yunyue , Zhu Bingquan , Hou Chen , Zhang Chen , Sui Yanan
Published: August 2021

Diagnosis and treatment for Parkinson's disease rely on the evaluation of motor functions, which is expensive and time consuming when performing at clinics. It is also difficult for patients to record correct movements at home without the guidance from experienced physicians. To help patients with Parkinson’s disease get better evaluation from in-home recorded movement videos, we developed an interactive video acquisition and learning system for clinical motor assessments. The system provides real-time guidance with multi-level body keypoint tracking and analysis to patients, which guarantees correct understanding and performing of clinical tasks. We tested its effectiveness on healthy subjects, and the efficiency and usability on patient groups. Experiments showed that our system enabled high quality video recordings following clinical standards, benefiting both patients and physicians. Our system provides a novel learning-based telemedicine approach for the care of patients with Parkinson’s disease.
AutoBandit: A Meta Bandit Online Learning System
Authors: Xie Miao , Yin Wotao , Xu Huan
Published: August 2021

Recently online multi-armed bandit (MAB) is growing rapidly, as novel problem settings and algorithms motivated by various practical applications are being studied, building on the top of the classic bandit problem. However, identifying the best bandit algorithm from lots of potential candidates for a given application is not only time-consuming but also relying on human expertise, which hinders the practicality of MAB. To alleviate this problem, this paper outlines an intelligent system called AutoBandit, equipped with many out-of-the-box MAB algorithms, for automatically and adaptively choosing the best with suitable hyper-parameters online. It is effective to help a growing application for continuously maximizing cumulative rewards of its whole life-cycle. With a flexible architecture and user-friendly web-based interfaces, it is very convenient for the user to integrate and monitor online bandits in a business system. At the time of publication, AutoBandit has been deployed for various industrial applications.
GASP: Gated Attention for Saliency Prediction
Authors: Abawi Fares , Weber Tom , Wermter Stefan
Published: August 2021

Saliency prediction refers to the computational task of modeling overt attention. Social cues greatly influence our attention, consequently altering our eye movements and behavior.

To emphasize the efficacy of such features, we present a neural model for integrating social cues and weighting their influences. Our model consists of two stages. During the first stage, we detect two social cues by following gaze, estimating gaze direction, and recognizing affect. These features are then transformed into spatiotemporal maps through image processing operations. The transformed representations are propagated to the second stage (GASP) where we explore various techniques of late fusion for integrating social cues and introduce two sub-networks for directing attention to relevant stimuli. Our experiments indicate that fusion approaches achieve better results for static integration methods, whereas non-fusion approaches for which the influence of each modality is unknown, result in better outcomes when coupled with recurrent models for dynamic saliency prediction. We show that gaze direction and affective representations contribute a prediction to ground-truth correspondence improvement of at least 5% compared to dynamic saliency models without social cues. Furthermore, affective representations improve GASP, supporting the necessity of considering affect-biased attention in predicting saliency.
Multi-view Feature Augmentation with Adaptive Class Activation Mapping
Authors: Gao Xiang , Tian Yingjie , Qi Zhiquan
Published: August 2021

We propose an end-to-end-trainable feature augmentation module built for image classification that extracts and exploits multi-view local features to boost model performance. Different from using global average pooling (GAP) to extract vectorized features from only the global view, we propose to sample and ensemble diverse multi-view local features to improve model robustness. To sample class-representative local features, we incorporate a simple auxiliary classifier head (comprising only one 1x1 convolutional layer) which efficiently and adaptively attends to class-discriminative local regions of feature maps via our proposed AdaCAM (Adaptive Class Activation Mapping). Extensive experiments demonstrate consistent and noticeable performance gains achieved by our multi-view feature augmentation module.
Self-Supervised Video Action Localization with Adversarial Temporal Transforms
Authors: Gong Guoqiang , Zheng Liangfeng , Jiang Wenhao , Mu Yadong
Published: August 2021

Weakly-supervised temporal action localization aims to locate intervals of action instances with only video-level action labels for training. However, the localization results generated from video classification networks are often not accurate due to the lack of temporal boundary annotation of actions. Our motivating insight is that the temporal boundary of action should be stably predicted under various temporal transforms. This inspires a self-supervised equivariant transform consistency constraint. We design a set of temporal transform operations, including naive temporal down-sampling to learnable attention-piloted time warping. In our model, a localization network aims to perform well under all transforms, and another policy network is designed to choose a temporal transform at each iteration that adversarially brings localization result inconsistent with the localization network's. Additionally, we devise a self-refine module to enhance the completeness of action intervals harnessing temporal and semantic contexts. Experimental results on THUMOS14 and ActivityNet demonstrate that our model consistently outperforms the state-of-the-art weakly-supervised temporal action localization methods.
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Authors: Han Yuxuan , Yang Jiaolong , Fu Ying
Published: August 2021

Recent works have shown that a rich set of semantic directions exist in the latent space of Generative Adversarial Networks (GANs), which enables various facial attribute editing applications. However, existing methods may suffer poor attribute variation disentanglement, leading to unwanted change of other attributes when altering the desired one. The semantic directions used by existing methods are at attribute level, which are difficult to model complex attribute correlations, especially in the presence of attribute distribution bias in GAN's training set. In this paper, we propose a novel framework (IALS) that performs Instance-Aware Latent-Space Search to find semantic directions for disentangled attribute editing. The instance information is injected by leveraging the supervision from a set of attribute classifiers evaluated on the input images. We further propose a Disentanglement-Transformation (DT) metric to quantify the attribute transformation and disentanglement efficacy and find the optimal control factor between attribute-level and instance-specific directions based on it. Experimental results on both GAN-generated and real-world images collectively show that our method outperforms state-of-the-art methods proposed recently by a wide margin. Code is available at https://github.com/yxuhan/IALS.
Constructions, cadres conceptuels, cartographies mentales.
Authors: Bach Matthieu
Published: August 2021

L’innovation linguistique a produit dans les trois dernières décennies deux vastes champs théoriques pleinement opérationnels que sont les grammaires de constructions et les cadres conceptuels. La présente contribution propose un moyen de les rassembler pour en exploiter leurs apports respectifs dans une perspective pédagogique. L’objectif est (i) d’opérationnaliser théoriquement le rapprochement, et (ii) de proposer une manière de l’exploiter en employant des cartographies mentales, dont la production repose sur l’observation de la réalité langagière.
Towards a typology of linguistic and stylistic errors in scientific abstracts written by low-proficiency geoscience and mechanical engineering doctoral students in France
Authors: Saber Anthony , Cartron Audrey , Kloppmann-Lambert Claire , Louis Céline
Published: August 2021

To date, few studies have attempted to formulate typologies of errors by non-native speakers in English scientific writing. In this study of 123 doctoral dissertation abstracts written by doctoral students in France, we present a tentative typology of frequent errors that covers issues with general grammar, expert grammar and style. In order to specifically ascertain the errors made by students who experience very significant difficulties, the 123 items of our corpus were chosen after an initial review of 1018 abstracts because they demonstrated low linguistic and stylistic proficiency. The typology of errors was sought in support of an error identification exercise in the Scientific Writing Assessment Program (SWAP), an English language certification recently developed at ENS Paris-Saclay. Although some disciplinary variation was seen in the distribution of errors, a convergence towards six major error types (determiners, syntax, tense choice, compound phrases, collocations and lack of clarity) was observed (62.96% of all errors in geoscience, and 83.89% in mechanical engineering), suggesting that efforts to mitigate errors should primarily focus on these key issues. Another key finding was that, in contrast with previous studies, traditional grammar issues did not represent the bulk of overall errors (52.78% in geoscience and only 37.32% in mechanical engineering), while the overall frequency of stylistic errors was high in both corpora (30.25% in geoscience, 46.05% in mechanical engineering), showing the importance of errors in relation with genre-specific style. We propose a metric of error frequency, the Comprehensive Error Ratio or CER, to assess the overall quality of abstracts written by non-native speakers of English. In conclusion, we suggest that any typology of errors in ESP/EAP contexts results from a trade-off between seeking descriptive specificity and achieving the specific purposes for which a typology is developed.
Impact of tannery effluent on Sorghum bicolor (L.) Moench
Authors: Sangeetha V. , Sharavannan P.S.
Published: August 2021

The present study is aimed to investigate the effect of tannery effluent on different varieties of Sorghum bicolor. The disparate concentrations of tannery effluent viz., 5, 25, 50, 75 and 100% were tested for its impacts on six varieties of Sorghum bicolor (L.) Moench (TNAU CO 5, TNAU CO 30, CO (S) 28, BSR 1, K Tall and Paiyur 1). The experimentation was carried out in a completely randomized design (CRD) with five replications. The impact of tannery effluent on the germination percentage, shoot length (cm), root length (cm), seedling weight (g), vigour index, tolerance index and phytotoxicity were recorded. The outcome revealed that the parameters escalated in 5% effluent concentration and declined after 25% concentration of tannery effluent.
Institutions for the development of the Extended Tumangan Initiative as one of the factors impacting regional economy
Authors: Stepanov Nikita Sergeevich
Published: August 2021

The subject of this article is the examination of the institutions development institutions of the Extended Tumangan Initiative and their impact upon regional economy. The relevance of this topic is associated with the fact that the creation of special economic zones, including industrial parks, has a specifically positive effect on economic development and ability of the regions to attract direct foreign investment. The countries of Northeast Asia offer the advantages of high economic complementarity, trustworthy relations that are the foundation for economic cooperation, and the experience of industrial clusterization in form of various entities that ensure optimization of the economic structure, trade flow, stimulation of investment, and strengthening of business ties. The Extended Tumangan Initiative was created specifically for this purpose, which today serves as one of the sources of economic development in the region. The article employs the methods of scientific knowledge, which are substantiated by the research tasks in determining the place and role of the institutions of the development of the Extended Tumangan Initiative; studying the content and peculiarities of assessing the development of this territory and Russia’s participation therein; for substantiating the practical grounds of this initiative as the factor impacting regional economy. Leaning on the analysis of cooperation of the member-states in the initiative, the author highlights the following priority vectors of cooperation within the Extended Tumagan Initiative: facilitation of transboundary trade; development of the system of transport infrastructure and tourism; improvement of the system of logistics and transport systems in the region; expansion of scientific and technological cooperation; solution of environmental problems of the territory; engagement of the territories of the Extended Tumangan Initiative into global economy. The author substantiates the importance of the Extended Tumangan Initiative as the only international platform for coordination of the actions of the regional countries.
Socioeconomic determinants of the current Russian crime rate
Authors: Zubova Yuliya Anatol'evna
Published: August 2021

The subject of this research is the socioeconomic determination of the current Russian crime rate. The goal consists in revealing the socioeconomic factors that have a statistically significant impact upon the crime rate in the country, discern the degree and nature of interdependence between these factors and the crime rate, as well as rank these factors by their importance. Methodological framework is comprised of the method of materialistic dialectics, which is a universal method of cognition of reality, and the arising from it private scientific methods, such as correlation-regression and factor analysis, implemented in the software package IBM SPSS Statistics. It is established that such socioeconomic factor as life expectancy at birth has most considerable impact upon the crime rate in the country. At the same time, interrelation between this factor and the crime rate is the other way around – the higher is life expectancy (its quality and population well-being), the lower is the crime rate. Crime rate is also substantially affected by the set of factors that determine density of the population, relative level of income, education, culture, and essential problems faced by the citizens throughout life – unemployment, inflation, poverty, etc.
Mechanisms for coordination of interests of the parties to municipal-private partnership
Authors: Gorbaneva Olga Ivanovna , Murzin Anton Dmitrievich , Revunov Roman Vadimovich
Published: August 2021

This research is dedicated to the use of widespread static models for coordination of common and private interests to the conditions of municipal programs. The subject of this research is the coordination of interests of the parties to municipal-private partnership projects. The goal lies in application of the static models of coordination of common and private interests to the single-stage socioeconomic processes of implementation of municipal-private partnership projects. The research methodology is structured on the use of static models of coordination of public and private interests), taking into account the utilitarian function of social well-being, the mechanism of Nash equilibrium, and the index of systemic coordination. The author carries out modeling of the coordination of interests of the parties to municipal improvement projects in the city of Novocherkassk, interprets the variants of the use of the mechanism of proportionate distribution, economic regulation and administrative control in managing the implementation of the program. The acquired results find reflection in the municipal management pertinent to the arrangement of municipal-private partnership programs and coordination of interests of the parties. The novelty of this research consists in adaptation of the abstract models of coordination of interests to the tasks of municipal management, which significantly improve the efficiency of planning municipal programs. The conclusion is made on the effectiveness of such management mechanisms for the municipal program. Recommendations are given for coordination of interests of each party to the partnership.
Family and household songs in the Dargin folklore
Authors: Mukhamedova Fatyma Khamzaevna , Alieva Fatima Abdulovna
Published: August 2021

The subject of this research is the family and household songs as one of the genre varieties of non-ritual lyrics in the Dargin folklore. They are thematically related with family life, household, customs and traditions of the Dargins. Their content reflects the typical aspects of patriarchal family of the prerevolutionary Dagestan, when due to the rigid local customary laws, women were deprived of the right to decide their fate; therefore, multiple songs resemble sadness, sorrow, suffering, and distress of the heroes. This article explores the thematic diversity of family and household songs in the Dargin folklore, their poetics and nature of visual-expressive means; as well as reveals their ideological-aesthetic, artistic, stylistic and compositional functions in poetry. The novelty of this research lies in introduction of Dargin family and household songs into the scientific discourse, as well as description of the uniqueness and poetic means and techniques used therein. Analysis of the songs demonstrated that the poetic system of song lyrics as a whole, and family-household in particular, are characterized by the use of such literary techniques as metaphor, epithet, symbols, contrasts, iteration, etc., which play a significant role in the poetic text, reflecting the emotional state and the depth of feelings of the lyrical heroes.
Prospects for the development of distance learning within the system of professional education
Authors: Barkovskiy Aleksey Mikhaylovich
Published: August 2021

The object of this research is distance learning, while the subject is the organization of distance learning in professional educational institutions with a long-term view. The author emphasizes the relevance of this research in the real and hypothetical epidemic conditions. The current stage is viewed as a period of contemplation or reconsideration of distance learning. The article employs the methods of theoretical and empirical analysis. The results of sociological surveys conducted among the students, pedagogues, rectors and vice-rectors of the Russian universities are analyzed. The  author indicates the conservatism of the modern system of education, and the importance of interaction between the main actors of the educational process. The fundamental difficulties in organization of distance learning are outlined. The scientific novelty of consists in creation of the model of educational process based on the empirical data underlying the development of distance learning. It is demonstrated that the conduct scientific research, development of information technologies, and improvement of the normative framework open new opportunities for creating a more effective learning environment. The key moment in increasing the effectiveness of the new form of learning consists in reaching the full presence effect, which allows implementing the traditional pedagogical technologies. Description is given to the possibilities of telepresence technology. The conclusion is formulated that distance learning can be transformed into a new form in accordance with the status of technological and technical development.
ANALISIS KELAYAKAN USAHA PESAN-ANTAR MASAKAN KHAS KARO BABI PANGGANG LUNING
Authors: Ginting Angeline May Natasha , Sungkowo A Bambang
Published: August 2021

Karo's signature cuisine that continues to develop and food and beverage industry in Indonesia makes a positive contribution to GDP. The activites business model canvas, SWOT analysis and financial feasibility analysis. The resulting data is the data processed by researchers and the theories of research results. Financial feasibility calculation result, value NPV BPK Luning > 0 for which it can be concluded that the business is eligible to run. Payback period that is required for 4 months and 9 days.This is what encourages the author to build a business that is engaged in the food industry, especially karo cuisine.
The Main Problems of Podcasting in Russia
Authors: Kruglova L. A. , Mamedov D. Z.
Published: August 2021

Purpose. The article presents the results of the analysis of the podcasting market in Russia. It highlights the main problems of the industry, the types of podcast producers, and their monetization models developed in the Russian market. The revenues and expenses of podcast studios are also in focus of study.

Results. The research is based on the study of the platforms themselves, scientific papers in the field of podcasting, Internet resources, company reporting, and expert interviews conducted by the authors. The authors have carried out the study in the autumn-winter of 2020.

Conclusion. The authors identify five main industry monetization models (which can be combined): advertising, podcasts for companies, podcasts for streaming platforms, donations, and subscriptions. The authors come to the conclusion that despite the main modern problems of Russian podcasting – the absence of regular audience measurements, a single platform, and, as a result, difficulties with monetization – the conditions for launching a podcast studio in the Russian market are favorable.
Attributes of Soviet Childhood: History of Transformation (On the Example of Illustrative Material Children’s Magazines 1920–1990s)
Authors: Sazonenko M. A.
Published: August 2021

The article is analyzes the images of the children's characteristics on illustrations for children’s magazines of the Soviet Union in the context of three periods: the period of experiments (1920–1930), military-sports period (1930–1950) and familytime (1950–1980). The characteristics of kids, in this case, are considered not only as certain features that are inherent for them on the images but also wider – as a child’s symbol that indicates the attitude towards childhood in certain social, cultural and political conditions. Since the visual children’s culture, and especially children’s media, are a matter of high interest now, this study and its main achievements, including contribution to the establishing correlation of the visual representation of children's characteristics and the cultural content of childhood of a certain era, have wide applicability. The article presents a cultural-semantic and socio-psychological explanation of the visual component of children’s illustrated periodicals in the conclusion section.
Assessing the Role of Social and Solidarity Initiatives in exploring Blue Economy: Evidences from Indian Sundarbans
Authors: Laha Arindam
Published: August 2021

Blue economy approach can mitigate the impacts of climate change on marine and coastal ecosystems. Sundarbans landscape is posed by the climate change of the region as reflected in the continued global warming, rising sea level, erosion of island area and increased frequency of cyclones. Thematic mapping of the Sundarbans region reveals a high ecological security in this region, whereas it is characterised by insecure economic efficiency and social equity. Through participatory observation methods, qualitative information of the operation of selected Social and Solidarity Economic (SSE) initiatives is screened in this study in the light of three sustainability pillars of the blue economy: ecological conservation measures, economic sustainability and social development services. Empirical evidence reveals a variation in the performance of the SSE actors, which is conditioned upon their scale of operation, level of financial assistance and range of activities.
A novel edge detection method based on efficient gaussian binomial filter
Authors: Mansour El Houssain Ait , Bretaudeau Francois
Published: August 2021

Most basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities. These approaches are strictly sensitive to noise, and their performance decrease with the increasing noise level. This research suggests a novel and robust approach based on a binomial Gaussian filter for edge detection. We propose a scheme-based Gaussian filter that employs low-pass filters to reduce noise and gradient image differentiation to perform edge recovering. The results presented illustrate that the proposed approach outperforms the basic method for edge detection. The global scheme may be implemented efficiently with high speed using the proposed novel binomial Gaussian filter.
Spatio-temporal modelling for non-stationary point referenced data
Authors: Morris Lindsay
Published: August 2021

Spatial and spatio-temporal phenomena are commonly modelled as Gaussian processes via the geostatistical model (Gelfand & Banerjee, 2017). In the geostatistical model the spatial dependence structure is modelled using covariance functions. Most commonly, the covariance functions impose an assumption of spatial stationarity on the process. That means the covariance between observations at particular locations depends only on the distance between the locations (Banerjee et al., 2014). It has been widely recognized that most, if not all, processes manifest spatially nonstationary covariance structure Sampson (2014). If the study domain is small in area or there is not enough data to justify more complicated nonstationary approaches, then stationarity may be assumed for the sake of mathematical convenience (Fouedjio, 2017). However, relationships between variables can vary significantly over space, and a ‘global’ estimate of the relationships may obscure interesting geographical phenomena (Brunsdon et al., 1996; Fouedjio, 2017; Sampson & Guttorp, 1992).

In this thesis, we considered three non-parametric approaches to flexibly account for non-stationarity in both spatial and spatio-temporal processes. First, we proposed partitioning the spatial domain into sub-regions using the K-means clustering algorithm based on a set of appropriate geographic features. This allowed for fitting separate stationary covariance functions to the smaller sub-regions to account for local differences in covariance across the study region. Secondly, we extended the concept of covariance network regression to model the covariance matrix of both spatial and spatio-temporal processes. The resulting covariance estimates were found to be more flexible in accounting for spatial autocorrelation than standard stationary approaches. The third approach involved geographic random forest methodology using a neighbourhood structure for each location constructed through clustering. We found that clustering based on geographic measures such as longitude and latitude ensured that observations that were too far away to have any influence on the observations near the locations where a local random forest was fitted were not selected to form the neighbourhood.

In addition to developing flexible methods to account for non-stationarity, we developed a pivotal discrepancy measure approach for goodness-of-fit testing of spatio-temporal geostatistical models. We found that partitioning the pivotal discrepancy measures increased the power of the test.
ANALYSIS OF CYBER RESISTANCE ASSESSMENT METHODS OF CRITICAL INFRASTRUCTURE
Authors: Maltseva Irina , Chernysh Yuliya , Ovsiannikov Viacheslav
Published: August 2021

The availability of critical infrastructure through cyberspace makes national security dependent on the degree of its security. Critical infrastructure is a set of automated management systems, which provide the interaction of information and telecommunications networks that solve problems of public administration, defense, security and law enforcement, and others. The protection of critical infrastructure directly depends on the possession of the relevant structures of new weapons, the degree of its effectiveness, methods of use and means of protection against the same weapons of the enemy. It is necessary to address the issue of effective confrontation in cyberspace.

The analysis of problems in the development of methods for assessing the functional stability of critical infrastructure in cyber confrontation requires the definition of basic methods and criteria that can be used in Ukraine to assess the stability of critical infrastructure.

Cyber weapons, which carry out destructive information effects, are not weapons in the classical sense, because they do not physically damage the object of attack, but translate its information and automated control systems into a crisis mode of operation. The process of counteraction of two or more parties, in this form, is a cyber confrontation that is realized using a common common resource - the global information space.

In the process of critical infrastructure management, cyber confrontation imposes additional requirements to ensure the sustainable operation of critical infrastructure. Stability is an integral property that is inextricably linked to the operating environment. Cyber resilience is an integrated indicator and is determined by cyber reliability, which reflects the ability to perform its tasks in a complex critical infrastructure management system in the context of information destructive influences.
ROSE PASSPORT OF A THREAT FOR THE EARLY DETECTION SYSTEM OF THREAT TO THE NATIONAL SECURITY OF UKRAINE
Authors: Opanasenko Maksym , Dzuba Taras
Published: August 2021

The article considers the problems of identifying threats to national security, in particular in the information sphere, as well as ways to solve them. The experience of leading countries in approaches to the establishment and operation of national risk and threat detection systems, namely the United States, the United Kingdom, the Kingdom of the Netherlands and New Zealand, is analyzed. The significant influence of the peculiarities of the information sphere in the formation of risks and threats of all security spheres is determined. Particular attention is paid to the direction and focus of the monitoring process on the search for certain marker events that will provide a clear idea of the beginning of the formation of risks and identify threats in the early stages. The expediency of development of the Passport of threats to national security of the state for its coordinated use in the system of detection and assessment of threats in all security spheres, in particular for the system of early detection of threats in the information sphere is substantiated. The analysis of theoretical bases of development of passports of threats is carried out. A unified structure of the Passport is proposed, which takes into account the vast majority of aspects of the process of risk formation with the threat to national security. The content of the main and informational aspects of the developed Passport is given. Given the multifunctionality of the Threat Passport, it is noted that the degree of its detail is important for the possibility of its use for the development of a system of early detection of threats in the information sphere of the state. It is determined that the development of the Passport is carried out indefinitely with further adjustment and introduction of new data in connection with the dynamics of the security environment. It is established that for early detection of threats it is necessary to consider the processes of formation and detection of risks with an emphasis on their initial latent stages. This approach combines the description (assessment) and the corresponding threat and its presentation in the information space.
Use of Ketamine as a Date Drug: a Systematic Scoping Review
Authors:   1BSc, Faculty of Nursing, National and Kapodistrian University of Athens, Greece,   2PhD, MSc, RN, 2nd University Psychiatric Clinic, General University Hospital Attikon, Athens, Greece
Published: August 2021

Background and Objectives: The interdependence of ketamine and rape represent an emerging issue for both the developed and the developing countries. Ketamine is rarely used in human surgery nowadays, but there is a range of traits concerning the aforementioned drug making it the most appropriate one for committing a sexual assault. Methods: An advanced search in Medline, CINAHL, PsychINFO, Scopus and Cohrane Library and ScienceDirect was conducted. Identified articles were published between 2005 and 2020. Results: Eight empirical studies were included that comprised the number of victims who had consumed unwillingly ketamine leading to rape. Conclusion: Ketamine as a rape drug is an emerging issue, the extent of which we do not yet acknowledge. Community based informative programs for the public should be implemented, concerning the hazards following the consumption of ketamine.
Strengths of Struts and Nodal Zones for Strut-and-Tie Model Design of Reinforced Concrete Corbels
Authors: Yun Young Mook , Lee Youjong
Published: August 2021

The strut-and-tie model (STM) method is useful for the limit state design of reinforced concrete (RC) corbels. However, for the rational design of RC corbels, designers must accurately determine the strengths of concrete struts and nodal zones to check the strength conditions of a selected STM and the anchorage of reinforcing bars in nodal zones. In this study, the authors suggested a numerical process for determining the strengths of concrete struts and nodal zones in RC corbel STMs. The technique incorporates the state of two-dimensional (2-D) stresses at the strut and nodal zone locations, 2-D failure envelope of concrete, deviation angle between the strut orientation and compressive principal stress trajectory, and the effect of concrete confinement by reinforcing bars. The authors also proposed the strength equations of struts and nodal zones that apply to the typical determinate and indeterminate STMs of RC corbels. The authors considered the effects of the shear span-to-effective depth ratio, the horizontal-to-vertical load ratio, and the primary tensile and horizontal shear reinforcement ratios in developing the strength equations. The authors predicted the failure strengths of 391 RC corbels tested to examine the appropriateness of the proposed numerical process and strength equations. The predicted failure strength compares very well with experimental results, proving that the rational analysis and design of RC corbels are possible by using the present study's strut and nodal zone strengths. Doi: 10.28991/cej-2021-03091725 Full Text: PDF
Prediction of Rutting in Flexible Pavements using Finite Element Method
Authors: Asim Muhammad , Ahmad Mahmood , Alam Muhammad , Ullah Shahid , Iqbal Muhammad Junaid , Ali Shahid
Published: August 2021

In this research study three dimensional (3D) finite element analysis are performed on a flexible pavement section for different material properties, temperature and loading conditions. The main objective of this study is to predict the rut depth under different conditions of temperature, loadings and material properties. Three dimensional finite element model of flexible pavement is developed using ABAQUS to predict rut depth. The pavement system is assumed to be an elastic multi-layers system with each layer being isotropic, homogeneous with specified Resilient Modulus (Mr) and Poisson ratio (µ). With the exception of the bottom subgrade layer, each layer is extending to an unlimited horizontal extent and has a finite thickness. The pavement system analyze in this study for a cyclic load of 10000 cycles taken as 0.01sec per cycle. Standard Axle Load (ESAL) of 18 kips (80 kN) loading on an axle with a dual set of tires, the wheel spacing is 13.78 in (350 mm) with a tire contact pressure of 100 psi (0.69 MPa) is used. After performing a series of analysis the results showed that rut depth increases with increase in temperature and loading and decreases by using base stabilizer. Doi: 10.28991/cej-2021-03091727 Full Text: PDF
Study on the Swelling Behavior of Clayey Soil Blended with Geocell and Jute Fibre
Authors: Kumar Sanjeev , Sahu Anil Kumar , Naval Sanjeev
Published: August 2021

Expansive soils like clays undergo swelling that can both be detrimental and acceptable in different applications. In the Northern part of India, especially Delhi region, natural soils containing clays & clayey sands support most of the buildings. Mechanically stabilized clays mixed with sand are used for local earthwork construction such as roads and landfills. Exact understanding of the swelling behaviour of such soils is a pre-requisite before the start of any construction projects. In this paper the swelling behaviour of clayey soil reinforced with geocell & Jute fibres has been presented. The laboratory investigations include one dimensional swelling tests using California Bearing Ratio (CBR) mould to study the swelling properties for different mix proportions. The maximum decrease in swelling potential of Geocell reinforced specimens was observed at fibre content of 0.80 percent and 40mm fibre length, beyond which increase in the swelling potential and swelling pressure has been observed. With this optimal reinforcement, a reduction of 71.24 percent in swelling and 41.10 percent in swelling pressure has been observed as compared to unreinforced soils. The study provides a solution towards the treatment of expansive soils before starting any construction activity over such soils and a step towards mitigating disasters related to infrastructure facilities grounded on expansive soils. Doi: 10.28991/cej-2021-03091728 Full Text: PDF
The Early Age Strength Improvement of the High Volume Fly Ash Mortar
Authors: Bazzar Kaoutar , Hafiane Fatima Zahra , Alaoui Adil Hafidi
Published: August 2021

In the last decade, the use of Fly ash as replacement to improve the strength and performance of the cement has become a part of mortar and concrete manufacturing. When the used amount of fly ash ranges from 20 to 25%, the proprieties of concrete and mortars such as strength and durability are improved, which also reduce the Portland cement consumption and its impact on environment. For some special applications the High-Volume Fly Ash (HVFA) (up to 50%) is recommended, but the use of HVFA is still limited because of the low early age strength. The aim of this study is to overcome the constraints caused by the use of the High-Volume Fly Ash, by upgrading the mortar using grinding to reduce the particle size, and by the application of an upsetting force to modify the behavior of swelling and to modify the crystal structure of ettringite in order to increase the early age strength of the mortar. The results show an increase in the rupture resistance at 7 days and 28 days by 60% and 30% respectively. Which will make the use of HVFA mortar possible in construction industry and therefore reduce more CO2 emissions from the cement production. Doi: 10.28991/cej-2021-03091731 Full Text: PDF
Effect of Blast Loading on Seismically Detailed RC Columns and Buildings
Authors: Fouad Marco , Fayed Mohamed N. , Hamdy Gehan A. , Abdelrahman Amr
Published: August 2021

Explosions caused by standoff charges near buildings have drastic effects on the internal and external structural elements which can cause loss of life and fatal injuries in case of failure or collapse of the structural element. Providing structural elements with blast resistance is therefore gaining increasing importance. This paper presents numerical investigation of RC columns with different reinforcement detailing subjected to near-field explosions. Detailed finite element models are made using LS-DYNA software package for several columns having seismic and conventional reinforcement detailing which were previously tested under blast loads. The numerical results show agreement with the published experimental results regarding displacements and damage pattern. Seismic detailing of columns enhances the failure shape of the column and decrease the displacement values compared to columns with conventional reinforcement detailing. Further, the effect of several modeling parameters are studied such as mesh sensitivity analysis, inclusion of air medium and erosion values on the displacements and damage pattern. The results show that decreasing the mesh size, increasing erosion value and inclusion of air region provide results that are very close to experimental results. Additionally, application is made on a slab-column multistory building provided with protective walls having different connection details subjected to blast loads. The results of this study are presented and discussed. Use of a top and bottom floor slab connection of protective RC walls are better than using the full connection at the four sides to the adjacent columns and slabs. This leads to minimizing the distortion and failure of column, and therefore it increases the chance of saving the building from collapse and saving human lives. Doi: 10.28991/cej-2021-03091733 Full Text: PDF
Mülteci konulu Türkçe ve çeviri çocuk kitaplarında yer alan empati ögelerinin incelenmesi
Authors: DURSUN Ezgi , EYÜP Bircan
Published: August 2021

Bu çalışmada, mülteci konusunu ele alan Türkçe ve çeviri çocuk kitaplarında empati içeren ögelerin belirlenmesi amaçlanmıştır. Çalışma nitel araştırma yöntemlerinden durum çalışmasına göre tasarlanmıştır. Veriler doküman incelemesi ile toplanmıştır. Çalışmanın veri kaynağını ‘Benim adım Mülteci değil’, ‘evinden uzakta (mülteci)’ ve ‘Halepli Zeynep’ adlı üç çocuk kitabı oluşturmaktadır. Kitaplardan ‘Benim adım Mülteci değil’ İngilizceden, ‘evinden uzakta (mülteci)’ ise Felemenkçeden Türkçeye çevrilmiştir. ‘Halepli Zeynep’ ise Türkçe yazılmış bir kitaptır. Bu üç kitabın seçilmesindeki ana neden, ele aldıkları konunun mülteci konusu olmasıdır. Ayrıca kitapların üçünün de benzer yaş gruplarına hitap etmesi ve yazılı metin yanında resimlerin de bulunması seçilmelerinde belirleyici olmuştur. Verilerin analizi içerik analizi tekniği ile yapılmıştır. Çalışmanın sonucunda, incelenen üç kitapta mülteci konusuna çocukların empatik bir bakış açısıyla bakmasını sağlayabilecek ögelerin farklı şekillerde ve oranlarda yer verildiği belirlenmiştir. ‘Benim adım Mülteci değil’ ve ‘evinden uzakta (mülteci)’ adlı kitaplarda metinler içerisinde empatiye yönelik ögelerin yoğun bir şekilde yer aldığı belirlenmiştir. ‘Benim adım Mülteci değil’ adlı kitapta empati ögelerine sorular aracılığıyla okurun sezmesini sağlayacak şekilde yer verilmiştir. ‘evinden uzakta (mülteci)’ kitabında ise empatiye dair ögelerin doğrudan verildiği görülmektedir. Ancak ‘Halepli Zeynep’ adlı kitapta empatiye yönelik ögelerin metin içerisinde oldukça az olduğu belirlenmiştir. Resimler açıdan bakıldığında ise bu üç kitaptan ‘Halepli Zeynep’in empati içeren resimler açısından daha zengin olduğu, fakat aynı zamanda çocuğa uygun olmayan resimlerin de kitapta yoğun olduğu belirlenmiştir. Diğer iki kitaptan ‘Benim adım Mülteci değil’in resimlerinde empatiye dair bir unsur bulunamazken ‘evinden uzakta (mülteci)’ ise bir resim tespit edilmiştir.
Polytraumatized patient with two columns fracture of the acetabulum and skin abrasion, which incision to use with soft tissue: A case report at 15 years follow-up
Authors: Spagnolo R , Porreca D , Vimercati M , Pace F
Published: August 2021

Posterior fractures of the acetabulum are the most frequent pattern of acetabular fractures. Based on the works of Judet and Letournel, accurate reduction and stable osteosynthesis with early mobilization have become the gold standard for the treatment of posterior acetabular fractures. Recently, a less invasive approach has been described to decrease Kocher-Langenbeck (K-L) approach complications. The clinical case describes a patient affected by two-column fractures of the acetabulum with skin abrasions of the gluteus. The clinical evaluation was based on Merle d’Aubigne and Postel scoring, which Matta has modified. The approach used is a modified, less invasive K-L: a straight skin incision from the midpoint between the posterior superior iliac spine and the posterior tip of the greater trochanter. We observed the essential advantages using this approach were a lesser split of the gluteus maximus and no risk of damage for the superior gluteal nerve. In the early postoperative rehabilitation, we examined the strength of the gluteus maximus, which was better than in patients treated with the typical Kocher–Langenbeck approach. The patient resumed after fifteen years after surgery; hip mobility is complete and painless.
Project Planning and Scheduling in the Face of the Fourth Industrial Revolution (4IR)
Authors: Kafile Masithembe
Published: August 2021

This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR. The paper explores the traditional project management planning and scheduling tools in conjunction with what technology has to offer, to bridge the gap between the traditional project management planning and scheduling tools and what the modern-day business market demands. An analysis of literature covering a wide range of theoretic and empirical studies was performed. The theories underlying various planning and scheduling methods were analysed in relation to the design of projects. A descriptive quantitative secondary data was used as a tool to assess the impact of technology on project planning for scheduling. The analysis of the study’s data was conducted using the principles of cross - tabulation. Inferences were drawn on the significant impact of the use of advanced technological tools on project planning for scheduling in current business time. Organisations can make use of the findings of this study to correctly apply the available advanced technological tools for more efficient schedule management planning to enhance the successful delivery of their projects. Further, this research can be used to provide learning opportunities for new and inexperienced planners and schedulers, and as a basis for further research in this field of knowledge.