bluuebunny/crossref_metadata_2025 huggingface dataset:
Methicillin-Resistant Staphylococcus aureus among Clinical Isolates in Indonesia: A Systematic Review
Authors: Syahniar Rike , Rayhana Rayhana , Kharisma Dayu Swasti , Khatami Muhammad , Duarsa Dimas Bagus Bramasta
Published: January 2021

BACKGROUND: The high infection of methicillin-resistant Staphylococcus aureus (MRSA) accompanied by increased resistance to many groups of antibiotics is a major concern in the field of infection. This study aims to evaluate the prevalence of MRSA isolates and antimicrobial susceptibility to MRSA isolates in Indonesia. METHODS: We did searches in Pubmed, Proquest, DOAJ, GARUDA, and google scholar for studies published in 2006-2020. Study in Indonesian (Bahasa) and English with the keywords "methicillin-resistant Staphylococcus aureus", "MRSA" and "Indonesia". More than 30 S.aureus isolates derived from human samples were included. RESULTS: A total of 738 articles based on the search results, 13 studies were included in this systematic review. The prevalence of MRSA reported from all studies is 0.3%-52%. The study with the largest prevalence of MRSA was found in Jakarta. The susceptibility of vancomycin antibiotics to MRSA isolates is known to range from 87%-100%. Based on all studies, Linezolid, Tigecycline, Nitrofurantoin, and quinupristin/dalfopristin were reported to have 100% susceptibility. CONCLUSIONS: The prevalence of MRSA is still found high in one of the cities in Indonesia. Surveillance of antibiotic use, monitoring of antimicrobial susceptibility patterns, and antibiotic resistance control programs need to be optimized. MRSA screening is based on a rapid diagnosis when an inpatient admission is also necessary.
Combination of Antipsychotic Medication and Crisis Intervention on Outcomes of Acute Mental Illness Patients Scale
Authors: Pratiwi Arum , Kartiko Juli Muhammad , Risnawati Pupus , Suwito Suwito , Muhlisin Abi , Widodo Arif
Published: January 2021

Background: The Crisis intervention program is very crucial to reduce the violence of emergency and acute mental illness. In the present research, an adjusted violence scale instrument through the implementation of a crisis intervention program that was combined with antipsychotic medicine was proposed for acute mental illness patients. Methods and Material: The Brøset’s violence risk scale instrument was utilized to measure the patients' behavior with intervention; after that, it was refined (mixed method with concurrent embedded strategy) to adapt the measuring scales. Each patient was given a crisis intervention program and received similar antipsychotic medication that comprised of Chlorpromazine 300 mg/day, Haloperidol 15 mg/day, and Trihexyphenidyl 6 mg/day; then, the response was recorded for 7 to 12 days in an acute inpatient psychiatric unit. The instrument was adjusted to satisfy the changes in patients' behaviors throughout an intervention. Then, a trial procedure, verification, and validation were performed on the content of the instrument. Results: The results revealed that a paired-samples t-test comparison of the panic level of 72 patients' violence was t=-7617 and probability 0.000. The proportion of agreement Cohen's kappa (κ) can range from -1 to +1. It means that the kappa (κ) equal to 0.667 represents a moderate agreement. Furthermore, since Probability was very low ( P < 0.05). Conclusions: It can be concluded that there was different levels of patients' violence before and after the crisis intervention. The interrater statistical results confirmed that the majority of nurses had similar perceptions towards items of modified Brøset’s violence risk scales.
Wormhole Attack Detection and Prevention Using EIGRP Protocol Based on Round Trip Time
Authors: Karthigadevi K. , Balamurali S. , Venkatesulu M.
Published: January 2021

One of the major harmful attacks in wireless sensor network is wormhole attack. These attacks are disturbing the routing in networks and create a large amount of traffics. Wormhole attacks are target to the banks, government, private sectors, public sectors etc. The proposed method is used to analyse and detect the wormhole attack. Using EIGRPprotocol to identify the shortest path and detect the attacking node based on the round trip time variation technique. As compared with previous method, it is the easy way to detect the wormhole attacks.
Chi-Square MapReduce Model for Agricultural Data
Authors: Rajeswari S. , Suthendran K.
Published: January 2021

Nowadays, agriculture plays a very significant role in economic growth. Decision making, crop selection and crop yield are the important issues in agriculture productions. Agricultural automation has lead to an incredible growth of software and applications to access the information. Agriculture database contains the farmer’s details, land details, soil nutrient details, water levels details and etc. When the data set contains irrelevant, redundant and noisy data then it degrades the performance of the classifier model. The feature selection algorithm is used to improve the performance by selecting the relevant attributes and removing the irrelevant attributes from the database. In this paper, a novel idea is proposed by deploying chi-square technique in MapReduce model to handle large amount of agricultural data. The experimental results show that the proposed Chi-Square MapReduce model has high accuracy and less processing time than the existing feature selection methods.
Analytic Hierarchy Process for Resource Allocation in Cloud Environment
Authors: Revathy C. , Sekar G.
Published: January 2021

Resource management is the primary issue as the demand grows for provisioning resources and computation in cloud systems. When the resource management fails to meet the QoS parameter (response time) requirements, there occurs the due-date assignment problem leading to “resource allocation problem”. This can be optimized by various scheduling algorithms. In this paper analytic hierarchy process is discussed for resource sharing. The results demonstrates that this approach reduces the execution time of algorithm and effectively handles vertical elasticity by adding resources in cloud server. Moreover, the experimental results shows that proposed method can effectively allocates the resources than any other algorithms. Finally, this algorithm is also focused on how efficiency is effectively handled in cloud computing environment while allocating resources since efficiency based resource allocation scheme has been taken into account.
A Case Study in Tailoring a Bio-Inspired Cyber-Security Algorithm: Designing Anomaly Detection for Multilayer Networks
Authors: Su´arez Gonzalo P. , Gallos Lazaros K. , Fefferman Nina H.
Published: January 2021

Although bio-inspired designs for cybersecurity have yielded many elegant solutions to challenging problems, the vast majority of these efforts have been ad hoc analogies between the natural and human-designed systems.We propose to improve on the current approach of searching through the vast diversity of existing natural algorithms for one most closely resembling each new cybersecurity challenge, and then trying to replicate it in a designed cyber setting. Instead, we suggest that researchers should follow a protocol of functional abstraction, considering which features of the natural algorithm provide the efficiency/effectiveness in the real world, and then use those abstracted features as design components to build purposeful, tailored (perhaps even optimized) solutions. Here, we demonstrate how this can work by considering a case study employing this method. We design an extension of an existing (and ad hoc-created) algorithm, DIAMoND, for application beyond its originally intended solution space (detection of Distributed Denial of Service attacks in simple networks) to function on multilayer networks.We show how this protocol provides insights that might be harder or take longer to discover by direct analogy-building alone; in this case, we see that differential weighting of shared information by the providing network layer, and dynamic individual thresholds for independent analysis are likely to be effective.
Czech Cyber Security System from a view of System Dynamics
Authors: Dolezal Ondrej , Tomaskova Hana
Published: January 2021

With the rapid development of information and communication technologies and the increasing dependence of modern civilization on them, the number and significance of threats to the functioning of the whole of society (not only smart society) are constantly increasing. Prevention, security, and protection against cyber threats pose a challenge that will have to be faced in the future. This article presents systems thinking and system dynamics approaches to solving complex problems and shows their potential use in cybersecurity, with a particular focus on the current state of cybersecurity in the Czech Republic.
Anti-forensic Approach to Remove Stego Content from Images and Videos
Authors: Amritha P. P. , Sethumadhavan M. , Krishnan R. , Pal Saibal Kumar
Published: January 2021

Covert transmission of information hidden in different media to either a general or targeted audience constitutes steganography. However, this technique can be misused to transmit undesirable information. Traditionally the removal of such content necessitated the knowledge of the steganographic algorithm used. However,we address the scenario where such stego is removed using generic image processing operations along with an anti forensic method without assuming any knowledge of the steganographic algorithm used. The application of generic image processing operations also causes degradation of cover image, which can also be restored using this anti forensic method. Our procedure has been tested on a variety of steganographic algorithms including HUGO-BD,WOW, Synch and J-UNIWARD. By applying universal steganalysis we found that all images which have been subjected to our procedure have become stego free. However, a direct evaluation of the stego content assuming knowledge of the stego content and its location showed that 80 percentage of the stego is removed without significantly impacting the visual image quality. Video stream containing isolated static images have been addressed in this paper. The peak signal-to-noise ratio and structural similarity metric values of cleaned images and videos are found to be in the range 30dB–40dB and 0.81–0.99 respectively.
Prevalence of IoT Protocols in Telescope and Honeypot Measurements
Authors: Metongnon Lionel , Sadre Ramin
Published: January 2021

With the arrival of the Internet of Things (IoT), more devices appear online with default credentials or lacking proper security protocols. Consequently, we have seen a rise of powerful DDoS attacks originating from IoT devices in the last years. In most cases the devices were infected by bot malware through the telnet protocol. This has lead to several honeypot studies on telnet-based attacks. However, IoT installations also involve other protocols, for example for Machine-to-Machine communication. Those protocols often provide by default only little security. In this paper, we present a measurement study on attacks against or based on those protocols. To this end, we use data obtained from a /15 network telescope and three honey-pots with 15 IPv4 addresses. We find that telnet-based malware is still widely used and that infected devices are employed not only for DDoS attacks but also for crypto-currency mining. We also see, although at a much lesser frequency, that attackers are looking for IoT-specific services using MQTT, CoAP, UPnP, and HNAP, and that they target vulnerabilities of routers and cameras with HTTP.
iShield: A Framework for Preserving Privacy of iOS App User
Authors: Bhatt Arpita Jadhav , Gupta Chetna , Mittal Sangeeta
Published: January 2021

Do iOS apps honour user’s privacy? Protection of user’s privacy by apps has lately emerged as a big challenge. Many studies have identified that there exists an inherent trade-off between end user’s privacy and apps’functionality. Some methods have been proposed to preserve user’s privacy of specific data like location and health information. However, a comprehensive framework to enable privacy preserving data sharing by apps has not been found. In this paper, we have proposed iShield - a privacy preserving framework that can be easily integrated by developers at the time of app creation to enforce privacy with minimal performance overhead. Privacy threat to a user has been quantified by calculation of privacy disclosure score of an app user. Empirical results demonstrate that the approach significantly reduces the privacy disclosure of the user.
Outlier Detection Methods and the Challenges for their Implementation with Streaming Data
Authors: Karale Ankita
Published: January 2021

Outlier detection has been a generally examined issue and highly used in a varied range of spaces. For example, transaction fraud, certain rise and fall in share market, sudden changes in weather, interruption detection for digital security, and fraud detection in security design patterns in data. Data mining is the rule of dealing with big amounts of data and choosing the important. Outlier detection is data mining procedures that identify uncommon occasions and special cases. This paper discusses fundamental concepts of outlier detection, the outlier types and the challenges in their detection. An in-depth presentation of outlier detection techniques is given which are divided into three major categories: supervised, semi supervised, and unsupervised. Special attention is given to unsupervised outlier detection. The existing algorithms and techniques in this category are elaborated in detail and the advantages and shortcomings of these techniques are summarized. The analyses of the existing algorithms for outlier detection show that no one of them completely satisfies all the requirements for scalability, work on high dimensional datasets with satisfactory time complexity and efficient memory usage especially when applied on streaming data. This is why the study suggests that there is a need of a hybrid approach that combines classical algorithms and artificial intelligence algorithm to provide efficient solution for outlier detection of streaming data with good key performance indicators.
The Consistency of the Sufficiency Economy Philosophy (SEP) with Sustainable Development Goals (SDGs)
Authors: Wongkumchai Tachakorn , Na Ayuthaya Smitti Darakorn , Kiattisin Supaporn
Published: January 2021

The purpose is to find the consistency of the SEP with SDGs. The sample used in this research was from development projects based on the application of the SEP with the total of 1,677 projects. These 1,667 projects were compared to the Taro Yamane table at a 95% confidence level with a deviation of 0.02. In addition, the sample of 10 projects under the framework of South-South cooperation and the Triangular cooperation were purposively selected. Questionnaires were used as the research tools to obtain opinions of experts consistency of the SEP to the dimensions of economic, social, and environmental development with the SDGs. The accuracy of the questionnaires is 0.88. The data were analyzed using Decision Matrix Analysis, Pearson's correlation, percentage, and average. The results showed that sustainable development based on the application of the SEP was consistent with SDGs in 3 dimensions: environmental at 28.40% ( = 4.73), economic at 27.14% ( = 4.52), and social at 26.08% ( = 4.35). The SEP is positively consistent with SDGs at 42.33% (r = 0.42325), which suggests that more implementation of development projects in accordance with the SEP leads to more development towards SDGs in each dimension.
An Integrated Conceptual Model of 360-Degree Performance Appraisal and Candidate Forecasting Using Adaptive Neuro-Fuzzy Inference System
Authors: Lelavijit Khomsun , Kiattisin Supaporn
Published: January 2021

360-degree evaluations are popular performance appraisal method that involves evaluation input from multiple levels within the firm as well as external sources. However, subordinate can be bias the ratings. The performance appraisal process is far from accurate and objective, sometimes resulting in rating errors. This article proposes an approach to minimizing subjective judgement in the effective employee evaluation in the existence of the multi-factor competency-based measures in a hierarchical structure using ANFIS and ANOVA algorithm. This study supports the ideas that the best MSE (0.0056) calculation is achieved by Using Adaptive Neuro-Fuzzy Inference System (ANFIS) with ANOVA selection features. The method suggested helps Human Resource (HR) managers to make more objective decisions for put right man on right time. The predicting behavioural competencies of employees to make investment in human development more effective. It is also a change in the decision-making concept of Human Resource Development (HRD) from feelings about the decision based on more information.
Developing Educational Mobile Game on Entering School During the New Normal of COVID-19 Pandemic
Authors: Sutopo Hadi , Setyantoro Dwipo
Published: January 2021

The COVID-19 pandemic forced most governments in different parts of the world to close schools temporarily to curtail the spread of the virus. Billions of students, or most of the student population in the world from kindergarten to university level, have stopped their education temporarily. A lot of children, youth, and adults are not attending schools due to the increased spread of COVID-19, and they will be returning back to school in a new normal environment someday. This paper aims to develop a small mobile game to inform students how to adapt to the new normal environment in learning. In developing the application, the researcher conducts qualitative approaches of Game Development Life Cycle that consists of 6 stages: initiation, pre-production, production, testing, beta, and release. It is hope that the new mobile game model would be easier, more fun, and interesting especially for children and youth. This research is still ongoing and is aimed at ensuring that the mobile game is an effective and feasible model to inform students entering the new normal learning environment.
A Method of Stereoscopic Display for Dynamic 3D Graphics on Android Platform
Authors: Chen Shihong , Jiu Zi
Published: January 2021

With the widespread use of smart terminals, the convenient use of stereoscopic video display on mobile platforms is urgently needed by more and more people. This study presents a method to rapidly convert 3D dynamic graphics produced by 3D animation software into stereoscopic display suitable for the Android platform, with details of an algorithm to generate double-viewpoint image sequences from single-viewpoint 3D dynamic graphics, and a method for compositing stereoscopic display from double-viewpoint image sequences. It developes a program on the basis of popular animation software to implement this method for realizing automatic generation of dynamic 3D graphics and for outputting composite images that conforms to the binocular characteristics of stereoscopic displays. As shown by experiments, the methods presented by this study, produce better results at a faster speed and provide stronger support for the production of high-quality stereo videos.
Model-based Generation of Web Application Programming Interfaces to Access Open Data
Authors: González-Mora Cesar , Garrigós Irene , Zubcoff Jose , Mazón Jose-Norberto
Published: January 2021

In order to facilitate the reusing of open data from open data platforms’ catalogs, Web Application Programming Interfaces (APIs) are an important mechanism for reusers. However, there is a lack of suitable Web APIs to access data from open data platforms. Moreover, in most cases, the currently available APIs only allow to access catalog’s metadata or to download entire data resources (i.e. coarse-grain access to data), hampering the reuse of data. Therefore, we propose a model-based approach to automatically generate Web APIs from open data. Our generated Web APIs facilitate the access and reuse of specific data (i.e., providing fine-grain or query-level access to data), which will result in many societal and economic benefits such as transparency and innovation. With this approach we address open data publishers which will be able to include a Web API within their data, but also open data reusers in case of missing APIs. This APIfication process, which means the creation of APIs for every available dataset, is based on automatic, generic and standardised generation mechanisms. The performance and functioning of this approach is validated with different datasets, which successfully generates Web APIs that facilitate the reuse of data.
Dynamic Evaluation of Recommendation Trust in Open Networks
Authors: Zhang Yu , Sun Guangmin , He Peng , Zhai Peng , Sun Yuge
Published: January 2021

Trust evaluation is a key issue in the interaction between network entities in open networks. The attacks of malicious entities have become a major obstacle to the development of open networks. Few traditional trust models have considered incorporating incentive mechanisms to reduce the influence of recommendation values from malicious entities in trust evaluation. This paper proposed a dynamic evaluation of recommendation trust model, considering the interaction procedure between entities, introducing reward-punishment factor and evaluation reliability factor. The function of reward-punishment factor is to reward honest interactions between entities while punishing fraudulent interactions. The evaluation reliability factor is used to decide whether to accept the recommendations from the recommending entities. Simulation results show that the model could effectively reduce the influence of malicious entities in trust evaluation. The proposed model could accurately and reliably identify the access behaviour of malicious entities, and adopt appropriate processing countermeasure to ensure the accuracy and fault tolerance of calculation.
Scheduling Algorithm Based on Heterogeneity and Confidence for Mimic Defense
Authors: Zhang Wenjian , Wei Shuai , Tian Le , Song Ke , Zhu Zhengbin
Published: January 2021

As a defense technology with endogenous security, mimic defense plays an important role in network security research. The scheduling of executors is one of the severe problems to take into account for mimic defense, and current research lacks comprehensive consideration of the influence of system architecture and attack behavior on scheduling algorithm. Based on previous research, this paper first introduces concept of heterogeneity and confidence according to vulnerability attributes and attack distribution characteristics to characterize the executors. Moreover, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) algorithm is brought in to optimize the system security and improve operating efficiency. Experimental results showed that,compared with the existing algorithms, Random, MD, RSMS, it improves the security of the system in non-uniform distributed attack scenario and the operating efficiency in each attack scenario.
An Optimized Algorithm to Construct QC-LDPC Matrix in Compressed Sensing
Authors: Yin Xiaoqi , Qian Jiansheng , Guo Xingge , Lin Guohua
Published: January 2021

Aiming at the problems such as the large amount of data in transmission and difficulties in hardware implementation, an optimized algorithm is put forward to generate QC-LDPC measurement matrix based on limited geometry in compressed sensing, which can eliminate the short girth of 4 in Tanner graph through the design of basis matrix. Because of the quasi-cyclic characteristics, it can be realized by shift register so as to reduce the complexity of coding. The simulation results indicate that QC-LDPC matrix is superior to traditional measurement matrices by using the same OMP algorithm, and there are good improvements in the aspects of PSNR, SSIM, NMSE and runtime, which are conductive to the application of compressed sensing theory in real-time data transmission.
Research on Indoor Wireless Positioning Precision Optimization Based on UWB
Authors: Guo Hua , Li Mengqi , Zhang Xuejing , Liu Qian , Gao Xiaotian
Published: January 2021

The ultra-wide band (UWB) indoor positioning precision often has large deviations due to environmental influences. To reduce noise error and improve the UWB indoor positioning precision, this paper divides the indoor positioning into static positioning and mobile positioning, and proposes different optimization algorithms for the two positioning modes. An improved self-organizing feature mapping neural network clustering algorithm is used for static positioning. After training, the layout of the neural network is established, and each weight vector is located at the center of the input vector cluster. Experiments indicate that the fully trained neural network can effectively filter noise, and reduce the mean square error significantly within 3.0×10−3. The positioning precision is 32.39% and 17.24% higher than those of the K-mean filtering algorithm and the Kalman filtering algorithm. For mobile positioning, the optimized neural network clustering algorithm is integrated with the unscented Kalman filter (UKF) to smooth the positioning data and reduce non-line-of-sight (NLOS) error. Experiments prove that this method can effectively reduce the errors caused by the NLOS state change, and estimate the distance with a high precision for ultra-wide band positioning and tracking.
Fault-tolerant and Congestion Balanced Routing Algorithm for 2D Mesh NoCs
Authors: Guan Jiao , Cai Jueping , Wang Yequn , Liu Jian
Published: January 2021

With the number of cores and nodes in networks-on-chips (NoCs) growing, the node fault occurrence probability is increasing. Although the existing turn model can route packets around the fault area and avoid deadlocks, a large traffic load is generated in the non-rightmost column of the fault region. This paper presents a novel fault-tolerant and congestion balanced (FTCB) routing algorithm that chooses a lower load area as the optimal router path by calculating the maximum path channels to balance traffic load and avoid network congestion. Two methods are proposed to calculate path channels for the fault-free mesh and the fault mesh. The improved odd-even turn rule is introduced to calculate path channels for the fault-free mesh. To balance the network load, free buffer length information is added to path channel calculations, which reflects the global perception. For the non-fault region, we update path channels by using the back formulas from the destination node to the source node. In a fault region, the modified calculation rules of path channels and fault-location odd-even turn rules are given. Compared to the other two related works, the throughput of the FTCB algorithm is improved by 6.92% and 10.7%. Meanwhile, the traffic load of FTCB is decreased to some degree in whole mesh, which shows the FTCB routing algorithm can obviously improve network load balanced, saturation throughput and network latency.
Preventing intimate partner violence: a formative evaluation of an intervention programme serving immigrants, refugees and visible minority men
Authors: Wong Jennifer S. , Bouchard Jessica
Published: January 2021

Although intimate partner violence (IPV) is the leading type of violence experienced by women in many parts of the world, limited research with mixed findings exists on IPV intervention programming for immigrants and visible minority subgroups. Changing Behaviors is an eight-week IPV intervention programme targeting immigrants, refugees and visible minority clientele in British Columbia, Canada. This pilot study provides a preliminary examination of programme impacts, using a mixed methods pre-test/post-test design. Fourteen participants completed the psychological and physical abuse subscales of the Abusive Behavior Inventory (Shepard and Campbell, 1992), and 11 participants answered open-ended questions concerning knowledge and skills learned in the programme. Participation in Changing Behaviors resulted in marginally significant decreases in psychologically abusive behaviours, but no change in physical abuse or gains in knowledge and skills concerning anger reduction or healthy emotional expression. Future attainment of gains in skills and reductions in abuse may be more successful through incorporating additional culturally enhanced components into the programme curriculum, as well as adding evidence-based practices from the IPV intervention literature.
Optical Meta Devices: eyes to the future
Authors: Chen Mu-Ku , Wu Yongfeng , Tsai Din Ping
Published: January 2021

Metasurfaces is the planar optical device made by artificial nanoantennas. Integrated functionalities of metasurface is promising for practical optical applications. The meta-devices with their outstanding properties could bring the great value of our life.
Overlaying 5G radio access networks on wavelength division multiplexed optical access networks with carrier distribution
Authors: Guan Xun , Bélanger-de Villers Simon , Shi Wei , Rusch Leslie A.
Published: January 2021

As 5G communication matures, the requirement for advanced radio access networks (RAN) drives the evolution of optical access networks to support these needs. Basic RAN functions, mobile front-haul to the backbone and interconnected front-end remote radio units, must support and enable data rate surges, low-latency applications, RF coordination, etc. Wavelength division multiplexed optical access networks (WDM-OANs) provide sufficient network capacity to support the addition of RAN services, especially in unused portions of WDM. We propose and demonstrate a method for RAN overlay in WDM-OANs that employ distributed carriers. In such systems, the carrier is modulated at the central office for direct-detected downstream digital data services; later the same carrier is remodulated for the uplink. We propose the use of silicon photonics to intercept the downstream and add 5G signals. We examine the distributed-carrier power budget issues in this overlay scenario. The carrier power must be harvested for direct detection of both digital and RoF services, and yet hold in reserve sufficient power for the uplink remodulation of all services. We concentrate on the silicon photonics subsystem at the remote node to add RoF signals. We demonstrate the overlay with a fabricated chip and study strategic allocations of carrier power at the optical network units housing the radio units to support the overlay. After the successful drop and reception of both conventional WDM-OAN and the newly overlaid RoF signals, we demonstrate sufficient carrier power margin for the upstream remodulation.
“You’re still worth it”: The moral and relational context of politically motivated unfriending decisions in online networks
Authors: Neubaum German , Cargnino Manuel , Winter Stephan , Dvir-Gvirsman Shira
Published: January 2021

Political disagreements in social media can result in removing (i.e., “unfriending”) a person from one’s online network. Given that such actions could lead to the (ideological) homogenization of networks, it is pivotal to understand the psychological processes intertwined in unfriending decisions. This requires not only addressing different types of disagreements but also analyzing them in the relational context they occur. This article proposes that political disagreements leading to drastic measures such as unfriending are attributable to more deeply rootedmoraldissents. Based on moral foundations theory and relationship regulation research, this work presents empirical evidence from two experiments. In both studies, subjects rated political statements (that violated different moral foundations) with regard to perceived reprehensibility and the likelihood of unfriending the source. Study 1 (N= 721) revealed that moral judgments of a political statement are moderately related to the unfriending decision. Study 2 (N= 822) replicated this finding but indicated that unfriending is less likely when the source of the morally reprehensible statement is relationally close to the unfriender and provides emotional support. This research extends unfriending literature by pointing to morality as a new dimension of analysis and offers initial evidence uncovering the psychological trade-off behind the decision of terminating digital ties. Drawing on this, our findings inform research on the homogenization of online networks by indicating that selective avoidance (in the form of politically motivated unfriending) is conditional upon the relational context and the interpersonal benefits individuals receive therein.
Cardiorespiratory fitness in late adolescence and long-term risk of psoriasis and psoriatic arthritis among Swedish men
Authors: Laskowski Marta , Schiöler Linus , Gustafsson Helena , Wennberg Ann-Marie , Åberg Maria , Torén Kjell
Published: January 2021

Background

Psoriasis is a chronic immune-mediated disease and psoriatic arthritis is a common coexisting condition. Cardiorespiratory fitness is the overall capacity to perform exertion exercise. Low levels of cardiorespiratory fitness are associated with negative health outcomes. Individuals with psoriasis have lower cardiorespiratory fitness compared with individuals without psoriasis. There are no previous studies exploring the association between cardiorespiratory fitness and new-onset psoriasis and psoriatic arthritis.

Methods

With the objective to investigate whether low cardiorespiratory fitness in late adolescence increases the risk for onset of psoriasis and psoriatic arthritis, a cohort of Swedish men in compulsory military service between 1968 and 2005 was created using data from the Swedish Military Service Conscription Register. Cardiorespiratory fitness, estimated by maximum capacity cycle ergometer testing at conscription, was divided into three groups: high, medium, and low. Diagnoses were obtained using the Swedish National Patient Register and cohort members were followed from conscription until an event, new-onset psoriasis or psoriatic arthritis, occurred, or at the latest until 31 December 2016. Cox regression models adjusted for confounders at conscription were used to obtain hazard ratios with 95% confidence intervals for incident psoriasis and psoriatic arthritis.

Results

During the follow-up period (median follow-up time 31 years, range 0–48 years), 20,679 cases of incident psoriasis and 6,133 cases of incident psoriatic arthritis were found among 1,228,562 men (mean age at baseline 18.3 years). There was a significant association between low cardiorespiratory fitness and incident psoriasis and psoriatic arthritis (hazard ratio 1.35 (95% confidence interval 1.26–1.44) and 1.44 (95% confidence interval 1.28–1.63), respectively).

Conclusions

These novel findings suggest that low cardiorespiratory fitness at an early age is associated with increased risk of incident psoriasis and psoriatic arthritis among men, and highlight the importance of assessing cardiorespiratory fitness early in life.
Comparison of two attenuated infectious bursal disease vaccine strains focused on safety and antibody response in commercial broilers
Authors: Thomrongsuwannakij Thotsapol , Charoenvisal Nataya , Chansiripornchai Niwat
Published: January 2021

Background and Aim: Infectious bursal disease (IBD) or Gumboro disease is one of the most detrimental diseases in the poultry industry worldwide. Previous scientific studies have shown that live IBD vaccination might induce transient immunosuppression, leading to suboptimal vaccine responses, and therefore lack of protection against other infectious diseases; therefore, selecting an IBD vaccine in commercial farms is a concern. This study aims to compare two commercially attenuated IBD vaccines (intermediate and intermediate-plus strains) in terms of safety and antibody response to IBD and Newcastle disease viruses (NDV) in commercial broilers. Materials and Methods: Overall, 216 Cobb broiler chickens were divided into three groups based on the IBD vaccine strain administered: V217 strain (Group 1), M.B. strain (Group 2), and an unvaccinated group (Group 3). Groups 1 and 2 were orally vaccinated with Hitchner B1 NDV vaccine strain 7 days after IBD vaccination. Blood samples were collected at IBD vaccination day (15 days of age) and at 7, 14, 21, and 28 days post-IBD vaccination. The immunosuppressive effects of the IBD vaccination were determined by NDV antibody response, the bursa:body weight (B:BW) ratio, and the histopathological lesion scores of the bursa of Fabricius. Phylogenetic analysis was also performed. Results: Phylogenetic analysis revealed that the M.B. strain belonged to a very virulent IBD strain, whereas the V217 strain belonged to a classical IBD virus strain. NDV antibody titers of the two vaccinated groups increased after ND vaccination, reaching their maximum at 14 days post-ND vaccination and decreasing thereafter. The V217 group presented the highest NDV humoral response from 7 days post-vaccination (dpv) to the end of the study. The mean NDV antibody titer of the V217 group was significantly (p<0.05) higher than that of the M.B. group at 14 dpv. In addition, the V217 strain-induced lower bursal lesions post-IBD vaccination and a higher B:BW ratio at 7 and 21 dpv compared to the M.B. group. The higher B:BW ratio, lower bursal lesions, and higher ND antibody response present in the V217 group indicate that the V217 strain induces lower immunosuppressive effects compared to the M.B. strain. Conclusion: The results of this study indicate that IBD vaccine selection merits consideration, as avoiding the immunosuppressive effects induced by live IBD vaccination and the consequent impact on response to other vaccines is important.
Az innovációs startup ökoszisztémák gazdasági és társadalmi hatásai és fejlesztésük egyes aspektusai
Authors: Nagy Sándor
Published: January 2021

Az innováció a jövőnk záloga. A technológiai fejlődés segíthet abban, hogy fenntarthatósági problémákat és kihívásokat megoldjunk, azokra intelligens válaszreakciókat adjunk. Napjainkban a startup vállalkozások az innováció előállításának a leghatékonyabb forrásai. Tevékenységük azonban nem csak gazdasági előnyöket generál, hanem a társadalom számára is képes hasznokat előállítani. A startupok fejlesztése így különös fontossággal bír. Ennek során figyelembe kell vennünk azok sajátosságait és azt a támogatói közeget, amelyben tevékenykednek. A startupok és ezen innovációs ökoszisztémák fejlesztése nem pusztán egy lehetőség a sok közül egy társadalom számára, hanem kötelezettség.
Egy folyóirat adatait tartalmazó adatbázis koncepciós modelljének elkészítése
Authors: Hampel György
Published: January 2021

A Jelenkori társadalmi és gazdasági folyamatok című folyóiratban számos magyar és külföldi szakember színvonalas publikációja jelent meg 2006 óta. Annak érdekében, hogy az eddig megjelent, illetve a későbbiekben megjelenő számokban található információk hatékony módon kinyerhetők legyenek, egy adatbázis létrehozásának ötlete merült fel, amelynek megvalósításához az első lépés a koncepcionális modell elkészítése, amely jelen cikk tárgya. A létrehozott egyed-kapcsolat modell – amely 3 egyedhalmazt, 39 attribútumot és 3 kapcsolatot tartalmaz – alkalmas arra, hogy relációs sémává konvertálva, majd SQL-alapú adatbázis-kezelőben megvalósítva kiszolgálja a folyóirattal kapcsolatos jelenlegi információs igényeket.
Információközlés diagramok használatával
Authors: Hampel György
Published: January 2021

A tudásalapú és információval átszőtt társadalomban a hatékony adat- és információátadás nélkülözhetetlen a mindennapi boldoguláshoz. Az adatnak és információnak, amelyet a hétköznapi életben többnyire egymás szinonimájának tekintünk, többféle meghatározása létezik. Amennyiben különbséget teszünk a két fogalom között, mondhatjuk, hogy az információ több mint adat. Az információt valamilyen módon továbbítani kell a befogadó (személy) felé és számos megjelenési módja létezik (szöveg, kép, hang stb.). A kognitív pszichológia az embert lényegében információfeldolgozó „egység”-nek tekinti. A közölni kívánt információt úgy kell továbbítani, hogy a befogadó fél azt gyorsan megértse. A diagramok hatékony eszközei lehetnek az információközlésének, amennyiben helyesen alkalmazzuk azokat. Diagrammal ábrázolható trend, összefüggés, kivétel stb. Jelen publikáció néhány ismertebb diagramtípussal foglalkozik, azok fő jellemzőivel, a hozzájuk kapcsolódó ajánlásokkal és a készítésük során előforduló gyakori hibákkal.
A teljesítménymérés módszerei a KKV szektorban
Authors: Dajnoki Krisztina , Filep Roland
Published: January 2021

A teljesítménymérés kérdésköre régóta foglalkoztatja a kutatókat, számos munka születika témában. Jelen tanulmány célja egyrészt a szakirodalomban leggyakrabban előforduló teljesítménymutatók feltárása, másrészt pedig a mérési módszereknek a tanulmányozása volt. Mivel a kézirat egyszélesebb körű kutatásnak egy részét képezi, ezért teljesítmény-mutatók tekintetében azokra helyeztük a fókuszt, amelyeket a KKV-k körében olyan társadalomtudományi kutatásokban használnak, mint a vezetési stílus, a vállalkozói készségek és a változásmenedzselési szokások szervezet összteljesítményére gyakorolt hatásának vizsgálata. A mutatóknak többféle csoportosítása létezik, amelyek közül az egyik leggyakoribb a pénzügyi és a nem pénzügyi mutatók elkülönítése. Az utóbbit elsősorban a nagyvállalatok alkalmazzák, de ők is csak a pénzügyi mutatók használata mellett teszik ezt. Széleskörű szakirodalmi feldolgozás alapján pénzügyi mutatók tekintetében azeredményesség és a forgalom (árbevétel), nem-pénzügyi esetben pedig a vevői- és a dolgozói elégedettség mutatók voltak a leggyakoribbak. A KKV-k vizsgálatánál jellemzően pénzügyimutatókat alkalmaznak, ezen belül objektív és szubjektív mérési módszereket különböztetnek meg a kutatók. Az objektívek azonos számviteli szabályok szerint készülnek, viszont az adózás miatt manipuláltak lehetnek és az iparági összehasonlításokat is megnehezítik, ezért már évtizedekkel ezelőtt is vizsgálták a teljesítmény mérésének szubjektív lehetőségét, amelyek kiküszöbölhetik ezeket a hátrányokat. Új mérési módszereket fejlesztettek ki és alkalmaztak empirikus kutatásokban. A hátrányuk, hogy kizárólag megkérdezés útján juthatunk hozzá az adatokhoz, viszont statisztikai módszerekkel végzett vizsgálatok alapján magas korrelációs értékeket mutatnak az objektívmódszerekkel, azokkal egyenértékűnek tekinthetők, így a szubjektív megközelítések biztonsággal alkalmazhatók kutatásokban. A 2010-es évekből származó kéziratok további kutatási javaslatként nevezik meg a szubjektív mérést lehetővé tevő kérdőívek további empirikus tesztelését, hogy a fent említett számviteli és iparági sajátosságoknak a kiküszöbölésével minél megbízhatóbb méréseket végezhessünk.
Pénzügyi kultúra felmérése az SZTE MK nappali tagozatos hallgatóinak körében
Authors: Major Dóra , Zsótér Brigitta
Published: January 2021

Jelen kutatásban a Szegedi Tudományegyetem Mérnöki Karának nappali tagozatos hallgatóinak pénzügyi kultúráját és szocializációját, illetve pénzügyi és bankkártya használati szokásait vizsgáljuk. A kutatásban arra kerestük a válaszokat, hogy a felsőoktatásban tanuló fiatalok különböző demográfiai és szocializációs jellemzői miként hatnak pénzügyi attitűdjükre, szokásaikra és kultúrájukra. A tanulmányban kívánjuk ismertetni a papíralapú kérdőíves megkérdezés eredményeit.
Population genetic analysis of Fagus orientalis Lipsky from the territory of the Crimea and the Caucasus
Authors: Aliev Chabagin U. , Koltunova Anastasia M. , Kutsev Maxim G. , Tuniyev Boris S.
Published: January 2021

The genetic structure of 20 populations of Fagus orientalis Lipsky (oriental beech) from the territory of the Crimea and the Caucasus was studied on the basis of microsatellite polymorphism (SSR – simple sequence repeats). The isolation distance test performed in the GenePop program showed a high correlation of genetic differences and the logarithm of geographic distance in geographic coordinates at the 0.91 level. Interpopulation genetic differentiation of Fagus orientalis (Fst) ranged from 0.01 to 0.67. On the basis of the obtained genetic data and analysis of the literature on fossil materials, we present a preliminary reconstruction of the possible pathways for spread and the formation of the modern area of the species in the Crimea and on the Caucasian Isthmus within the Caucasian ecoregion. The earliest separation occurred in the populations of the mountainous Crimea and the Stavropol Upland, which retained the unique features of the genotype of the ancestral form in conditions of island isolation. Apparently, beeches from relict mid-mountain populations in refugia of mesophilic vegetation are close to the ancestral form: Colchis (Avadhara, Abkhazia) in the west and Kakheti (Lagodekhi, Georgia) in the east. The observed similarity at the upper border of the beech belt in different regions of the Caucasian Isthmus indicates a parallelism in the development and formation of high-mountain populations of the species.
A modern termelési koncepciók és a szervezeti kultúra kapcsolata - Irodalomfeldolgozás
Authors: Jenei István , Losonci Dávid , Heidrich Balázs , Kása Richárd
Published: January 2021

Habár egyöntetű a kutatók és szakértők véleménye a tekintetben, hogy a szervezeti kultúra változtatása nélkül nem lehet sikeres és fenntartható egyik modern termelési koncepció sem, meglehetősen csekély az egyes termelési koncepciók és a szervezeti kultúra kapcsolatát vizsgáló empirikus munkák száma. Így máig megválaszolatlan a témával kapcsolatos számos alapkérdés. Jelen irodalomfeldolgozás a vezető termelésmenedzsment- folyóiratokban megjelent munkákra építve vizsgálja a modern termelési koncepciók és a szervezeti kultúra kapcsolatát. A szervezeti kultúra empirikus megragadásánál az egyik széles körben elfogadott eszközt, a versengő értékek modelljét (Competing Values Framework – CVF) állítja középpontba. A tanulmány az első felében bemutatja a szervezeti kultúra kutatásának motivációit, a releváns irodalomként meghatározott kiemelt cikkek kiválasztásának lépéseit, a CVF-modellt. A tanulmány második része foglalkozik, hogy a kiválasztott forrásokban leírt kutatások milyen kapcsolatot tártak fel a CVF-modellel megragadott szervezeti kultúra és három modern termelési koncepció, a teljes körű minőségmenedzsment (TQM), a fejlett termeléstechnológia (Advanced Manufacturing Technology – AMT) és a lean menedzsment esetében. A szerzők a cikk végén a hazai kutatások eredményeit mutatják be, majd a tanulmány fő megállapításait összegzik.
A magyarországi közművállalatok tehernövekedését eredményező állami intézkedések hatása. Három magyarországi víziközmű-vállalkozás GDP-megoszlásának tanulságai
Authors: Felméry Zoltán , Papp József
Published: January 2021

A közmű-szolgáltatások fogyasztói árának általános hatósági csökkentése, a gazdasági és pénzügyi válság sújtotta magyar lakosságot "védő" kormányzati intézkedéssorozat részeként, mára szervesen betagozódott az európai közvéleményt egyaránt foglalkoztató kérdések sorába. A tagországok által eleddig szakpolitikai szinten kezelt témakör az általános politika szintjére emelkedett. Az árcsökkentéssel együtt járó, a közműcégeket az eddigieknél nagyobb mértékű tehervállalásra kényszerítő intézkedések következményei azonban egyelőre még nem ismertek. Az elemzés három magyarországi víziközmű-vállalkozás által előállított GDP megoszlását vizsgálja, az elmúlt években állandósult adóterhek következtében kialakult, valamint azok esetleges további növelése esetén bekövetkező szolgáltatói magatartás modellezésére tesz kísérletet. Az eredmények elemzése során pedig arra a következtetésre jut, hogy a vállalatokat eddigiekben terhelő elvonási arányok negatív irányba történő megváltoztatása, a jövőben fenntarthatatlan működésre kényszerítheti ezeket a vállalkozásokat.