bluuebunny/crossref_metadata_2025 huggingface dataset:
A Wireless High-Sensitivity Fetal Heart Sound Monitoring System
Authors: Wei Jianjun , Wang Zhenyuan , Xing Xinpeng
Published: December 2020

In certain cases, the condition of the fetus can be revealed by the fetal heart sound. However, when the sound is detected, it is mixed with noise from the external environment as well as internal disturbances. Our exclusive sensor, which was constructed of copper with an enclosed cavity, was designed to prevent external noise. In the sensor, a polyvinylidene fluoride (PVDF) piezoelectric film, with a frequency range covering that of the fetal heart sound, was adopted to convert the sound into an electrical signal. The adaptive support vector regression (SVR) algorithm was proposed to reduce internal disturbance. The weighted-index average algorithm with deviation correction was proposed to calculate the fetal heart rate. The fetal heart sound data were weighted automatically in the window and the weight was modified with an exponent between windows. The experiments show that the adaptive SVR algorithm was superior to empirical mode decomposition (EMD), the self-adaptive least square method (LSM), and wavelet transform. The weighted-index average algorithm weakens fetal heart rate jumps and the results are consistent with reality.
Shortest Path Algorithm in Dynamic Restricted Area Based on Unidirectional Road Network Model
Authors: Wei Haitao , Zhang Shusheng , He Xiaohui
Published: December 2020

Accurate and fast path calculation is essential for applications such as vehicle navigation systems and transportation network routing. Although many shortest path algorithms for restricted search areas have been developed in the past ten years to speed up the efficiency of path query, the performance including the practicability still needs to be improved. To settle this problem, this paper proposes a new method of calculating statistical parameters based on a unidirectional road network model that is more in line with the real world and a path planning algorithm for dynamically restricted search areas that constructs virtual boundaries at a lower confidence level. We conducted a detailed experiment on the proposed algorithm with the real road network in Zhengzhou. As the experiment shows, compared with the existing algorithms, the proposed algorithm improves the search performance significantly in the condition of optimal path under the premise of ensuring the optimal path solution.
Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network
Authors: Shi Jiaqi , Liu Chaoran , Ishi Carlos Toshinori , Ishiguro Hiroshi
Published: December 2020

Emotion recognition has drawn consistent attention from researchers recently. Although gesture modality plays an important role in expressing emotion, it is seldom considered in the field of emotion recognition. A key reason is the scarcity of labeled data containing 3D skeleton data. Some studies in action recognition have applied graph-based neural networks to explicitly model the spatial connection between joints. However, this method has not been considered in the field of gesture-based emotion recognition, so far. In this work, we applied a pose estimation based method to extract 3D skeleton coordinates for IEMOCAP database. We propose a self-attention enhanced spatial temporal graph convolutional network for skeleton-based emotion recognition, in which the spatial convolutional part models the skeletal structure of the body as a static graph, and the self-attention part dynamically constructs more connections between the joints and provides supplementary information. Our experiment demonstrates that the proposed model significantly outperforms other models and that the features of the extracted skeleton data improve the performance of multimodal emotion recognition.
Survivability-Enhanced Virtual Network Embedding Strategy in Virtualized Wireless Sensor Networks
Authors: Wu Dapeng , Liu Zhenli , Yang Zhigang , Zhang Puning , Wang Ruyan , Ma Xinqiang
Published: December 2020

With the widespread application of wireless sensor networks (WSNs), WSN virtualization technology has received extensive attention. A key challenge in WSN virtualization is the survivable virtual network embedding (SVNE) problem which efficiently maps a virtual network on a WSN accounting for possible substrate failures. Aiming at the lack of survivability research towards physical sensor node failure in the virtualized sensor network, the SVNE problem is mathematically modeled as a mixed integer programming problem considering resource constraints. A heuristic algorithm—node reliability-aware backup survivable embedding algorithm (NCS)—is further put forward to solve this problem. Firstly, a node reliability-aware embedding method is presented for initial embedding. The resource reliability of underlying physical sensor nodes is evaluated and the nodes with higher reliability are selected as mapping nodes. Secondly, a fault recovery mechanism based on resource reservation is proposed. The critical virtual sensor nodes are recognized and their embedded physical sensor nodes are further backed up. When the virtual sensor network (VSN) fails caused by the failure physical node, the operation of the VSN is restored by backup switching. Finally, the experimental results show that the strategy put forward in this paper can effectively guarantee the survivability of the VSN, reduce the failure penalty caused by the physical sensor nodes failure, and improve the long-term operating income of infrastructure provider.
Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning
Authors: Qin Jiayu , Mei Gang , Xiao Lei
Published: December 2020

Traffic congestion is becoming a critical problem in urban traffic planning. Intelligent transportation systems can help expand the capacity of urban roads to alleviate traffic congestion. As a key concept in intelligent transportation systems, urban traffic networks, especially dynamic traffic networks, can serve as potential solutions for traffic congestion, based on the complex network theory. In this paper, we build a traffic flow network model to investigate traffic congestion problems through taxi GPS trajectories. Moreover, to verify the effectiveness of the traffic flow network, an actual case of identifying the congestion areas is considered. The results indicate that the traffic flow network is reliable. Finally, several key problems related to traffic flow networks are discussed. The proposed traffic flow network can provide a methodological reference for traffic planning, especially to solve traffic congestion problems.
Aiming at the Organizational Sustainable Development: Employees’ Pro-Social Rule Breaking as Response to High Performance Expectations
Authors: Wang Fan , Zhang Man , Das Anupam Kumar , Weng Haolin , Yang Peilin
Published: December 2020

Despite the continuous increase in empirical research on pro-social rule breaking (PSRB), why organizational members conduct this behavior volitionally still requires further exploration. Drawing on the conservation of resources theory, our study investigated the impact of leaders’ high performance expectations on employees’ PSRB, following a hypothetical model with work stress as the mediator and perceived organizational support as the moderator. A three-waved time-lagged survey covering 208 dyad data of supervisor-subordinate from 41 teams of five enterprises in Shanghai, China, provided support for our hypotheses. After analyzing, we found that high performance expectations increased employees’ work stress, and further influenced employees’ PSRB substantially via stress, where the relationship was moderated by perceived organizational support. The theoretical and practical implications are discussed from a sustainability perspective.
Comparison of the Level of Personnel Work in the Czech Republic and Slovakia
Authors: Smerek Lukáš , Vetráková Milota , Čemerková Šárka , Malátek Vojtěch
Published: December 2020

After 1989, the countries of Eastern and Central Europe began to undergo significant social and economic changes associated with the process of transformation of the economy into a market economy. Transformation is not only associated with the creation of a business environment, with the formation of new legal and institutional mechanisms, but also with a change in the thinking and behavior of people including employees, managers and owners. The paper aims to identify important processes and trends in developing human resource management in companies in the Czech Republic and the Slovak Republic. We conducted the questionnaire survey in 2018 and 2019 in various areas of business. We obtained the opinions of respondents from 1542 companies. In the research, we assume that in the conditions of a market economy compared to a centrally managed economy, employees are the most important source of development and performance of companies. Descriptive statistics were used to characterize the sampling unit. The other methods used to evaluate data in the paper were the Mann-Whitney test and Spearman Correlation coefficient. The research revealed that despite a long common history, differences in the field of personnel work have arisen in the last 20 years of the independent existence of the Czech Republic and the Slovak Republic. The only exception is employee care. It was also found that in the Czech Republic the strategic orientation predominates, on the contrary, companies in the Slovak Republic focused on operational processes. Differences were also found in the way of adaptation and further training of employees. The results of the findings can be used to design processes with the highest positive impact on business performance.
Listening to Forests: Comparing the Perceived Restorative Characteristics of Natural Soundscapes before and after the COVID-19 Pandemic
Authors: Qiu Mengyuan , Sha Ji , Utomo Sulistyo
Published: December 2020

Natural sounds are known to contribute to health and well-being. However, few studies have investigated what makes a natural sound renew and re-energize people, especially in the face of significant stressors caused by the Corona Virus Disease 2019 (COVID-19). This study examined the interactive mechanism towards the perceived restorative characteristics of natural soundscapes: fascination, being-away, compatibility, and extent. Two groups of data were collected in Burleigh Heads National Park, Australia, before the outbreak of COVID-19 (n = 526) and in October 2020 (n = 371). The objective measures of LAeq confirmed that the acoustic environment of Burleigh Heads National Park are quiet and peaceful for attention restoration. The results of the subject evaluation revealed that participants from the post-COVID-19 group reported higher stress levels, while there was a greater mental restoration through water sounds. There are significant differences between the pre- and post-COVID-19 groups with respect to the relationships among the perceived restorative characteristics of natural soundscapes. The direct effects of extent and fascination, as well as the mediating effects of fascination, were more significant among the post-COVID-19 group than the pre-COVID-19 group. However, the effects of being-away on compatibility were less significant in the post-COVID-19 group. This study reduces the gap that exists on the research of environment–people–health–wellbeing nexus. Knowledge about natural soundscapes encourages administrations to consider it as a guideline for the planning and management of natural resources, especially during the COVID-19 pandemic.
Managing Corporate Social and Environmental Disclosure: An Accountability vs. Impression Management Framework
Authors: Martins Adelaide , Gomes Delfina , Branco Manuel Castelo
Published: December 2020

Institutional environment demands from organizations to be accountable for their social and environmental actions and to provide information allowing the assessment of their long-term prospects for profitability may lead organizations to adopt Impression Management (IM) tactics to manage perceptions. Consequently, organizations may provide accounts demonstrating that they are good corporate citizens and possess the intangible assets required for future good financial performance. Although organizations have increased their corporate social reporting, the quality and reliability of those reports have been questioned. The literature suggests that these disclosures tend to be selective and biased, and do not enhance corporate accountability. This study proposes a formal conceptual framework linking IM, social and environmental accountability, financial performance, and organizational legitimacy. The arguments in this study are of economic, societal, and ethical concern, as IM behaviors may undermine the transparency of social and environmental reporting, and the decoupling between the economic and social image offered by companies through reporting and the reality. These insights also point at the complexities for organizations in dealing with accountability to all stakeholders. The conceptual framework proposed is useful for future studies aiming at understanding how organizations use IM in their corporate social reporting in the accountability process.
Predictive Modeling of Transport Infrastructure Space for Urban Growth Phenomena in Developing Countries’ Cities: A Case Study of Kano — Nigeria
Authors: Otuoze Suleiman Hassan , Hunt Dexter V. L. , Jefferson Ian
Published: December 2020

Global urbanization has the most tremendous negative effects on the changing landscapes in many developing countries’ cities. It is necessary to develop appropriate monitoring techniques for tracking transport space evolution. The work explores the impacts of urban growth dynamics of transport space over the past decades as a basis for predicting future space demands in Kano, Nigeria. Three epochs of Landsat images from 1984, 2013 and 2019 were processed, classified and analyzed. Spatial classifications of land-use/land-cover (LULC) types in Kano include transport space, built-up areas, vegetation, farmland, bare land and water. The data analysis involves model calibration, validation and prediction using areas using the hybrid modeling techniques—cellular automata-Markov (CA-Markov) in IDIRISI SELVA 17.0 and remote-sensing ARC-GIS 10.7 softwares. The result finds significant expansion of transport and built-up areas while other LULC receded throughout the entire study period. Predictive modeling of transport infrastructure shows spatial expansion by 345 km2 (3.9%) and 410 km2 (11.7%) in 2030 and 2050 respectively. Kappa reliability indices of agreement (KIA) classified images and ground maps were 85%, 86% and 88%, respectively, for 1984, 2013 and 2019 time series. The calibration quality met the 80% minimum suggested in literature for the spatial-temporal track and prediction of urban growth phenomena.
A Trade-Off Navigation Framework as a Decision Support for Conflicting Sustainability Indicators within Circular Economy Implementation in the Manufacturing Industry
Authors: Kravchenko Mariia , Pigosso Daniela C. A. , McAloone Tim C.
Published: December 2020

Integration of sustainability criteria from a triple bottom line perspective is considered a challenge for manufacturing actors, who are engaged in developing sustainability-oriented initiatives. The earlier in the development process the criteria are integrated and sustainability potential is evaluated, the more opportunities exist to introduce improvements and select an initiative with a highest sustainability potential. The challenge does not only lie in understanding what sustainability criteria to use to assess sustainability performance, but in managing conflicting results, known as trade-offs. Trade-offs are situations characterized by conflicts between the desired objectives, where it is impossible to satisfy all criteria simultaneously. Although sustainability trade-offs are common, there is a gap in the existing approaches for sustainability measurements to support trade-off dialogue and decision-making. If trade-offs are not acknowledged, there is a risk of accepting an initiative leading to sub-optimizations or higher impacts. Therefore, this study proposes a framework to support trade-off analysis in the early development stages of sustainability-oriented initiatives. The trade-off navigation framework relies on input data and a structured guidance, with the twofold objective: (i) help making trade-offs explicit, and (ii) provide a structured approach to support trade-off analysis and acceptability in a transparent manner. The purpose is to encourage a dynamic decision process and reinforce the knowledge of decision-makers about potential risks and opportunities behind their choices. Using a case of a product development involving CE principles, this paper discusses how a trade-off navigation framework was applied and evaluated by industrial and academic experts, leading to its improvement and identification of strengths and limitations.
A Method for Selecting the Typical Days with Full Urban Heat Island Development in Hot and Humid Area, Case Study in Guangzhou, China
Authors: Chen Guang , He Minjie , Li Nan , He Hao , Cai Yunnan , Zheng Senlin
Published: December 2020

The urban heat island (UHI) poses a significant threat to urban ecosystems, human health, and urban energy systems. Hence, days with a relatively higher UHI intensity should be selected for UHI observation and analysis. However, there is still a lack in the method and criteria for selecting the typical meteorological days for UHI survey and simulation. In this study, field measurements were conducted based on Local Climate Zone (LCZ) schemes over a one-year period to assess the UHI behavior in Guangzhou, China. The relationship between the diurnal temperature range (DTR) and UHI intensity was evaluated and analyzed quantitatively under different meteorological conditions classified by precipitation. The average daily maximum UHI intensity (UHIImax) during precipitation days was approximately 1.8 °C lower than that during non-precipitation days, confirming that precipitation has a negative effect on UHI development. The monthly DTR distribution was similar to the daily UHIImax distribution, which was higher in autumn and winter, but lower in spring and summer. DTR has a significant linear correlation with the daily UHIImax, with a Pearson’s correlation coefficient of >0.7 and statistical significance of <0.001. Based on a quantitative evaluation of our results, we determined that 10 °C could be regarded as the appropriate DTR threshold to identify the meteorological conditions conducive to UHI development; the meteorological conditions exhibited a high daily UHIImax in Guangzhou. This study provides a simple method to select typical meteorological days for UHI measurement and simulation, and a method to early-warning of intense UHI events based on weather forecasts.
Empirical Study of the Spatial Spillover Effect of Transportation Infrastructure on Green Total Factor Productivity
Authors: Liang Xi , Li Pingan
Published: December 2020

Transportation infrastructure promotes the regional flow of production. The construction and use of transportation infrastructure have a crucial effect on climate change, the sustainable development of the economy, and Green Total Factor Productivity (GTFP). Based on the panel data of 30 provinces in China from 2005 to 2017, this study empirically analyses the spatial spillover effect of transportation infrastructure on the GTFP using the Malmquist–Luenberger (ML) index and the dynamic spatial Durbin model. We found that transportation infrastructure has direct and spatial spillover effects on the growth of GTFP; highway density and railway density have significant positive spatial spillover effects, and especially-obvious immediate and lagging spatial spillover effects in the short-term. We also note that the passenger density and freight density of transportation infrastructure account for a relatively small contribution to the regional GTFP. Considering environmental pollution, energy consumption, and the enriching of the traffic infrastructure index system, we used the dynamic spatial Durbin model to study the spatial spillover effects of transportation infrastructure on GTFP.
The Impact of R&D Intensity on the Innovation Performance of Artificial Intelligence Enterprises-Based on the Moderating Effect of Patent Portfolio
Authors: Dong Yuanyuan , Wei Zepeng , Liu Tiansen , Xing Xinpeng
Published: December 2020

The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover how the patent portfolio of artificial intelligence enterprises affects the relationship between R&D intensity and innovation performance. Based on the panel data of 164 listed enterprises in the A-share artificial intelligence concept sector of China, using the panel fixed effect regression method, the impact of R&D intensity on innovation performance was analyzed, and the moderating effect of the three dimensions of the patent portfolio on the two was examined. Studies have shown that the impact of R&D intensity on innovation performance is in an inverted U-shaped relationship. In addition, the diversity characteristics of the patent portfolio have a moderating effect on the relationship between R&D intensity and innovation performance, and when the enterprise is at a high level of diversity, the two have a U-shaped flip relationship. The size of the patent portfolio has a positive impact on innovation performance. The research results have theoretical and practical significance for the implementation of effective R&D management in artificial intelligence enterprise organizations.
Phytoremediation Potential of Freshwater Macrophytes for Treating Dye-Containing Wastewater
Authors: Ahila Karunakaran Gowri , Ravindran Balasubramani , Muthunarayanan Vasanthy , Nguyen Dinh Duc , Nguyen Xuan Cuong , Chang Soon Woong , Nguyen Van Khanh , Thamaraiselvi Chandran
Published: December 2020

Phytoremediation is a promising green technology for the remediation of various industrial effluents. Notably, aquatic plants are widely applied to remove dyes and toxic metals from polluted environments. In the present study, the phytoremediation potency of aquatic macrophytes such as Pistia stratiotes L, Salvinia adnata Desv, and Hydrilla verticillata (L.f) Royle were assessed based on the removal capability of pollutants from dyeing effluent. Physicochemical characterizations were carried out for industrial wastewater collected from a cotton material dyeing unit located in the Karur District of Tamilnadu, India. The physicochemical characteristics of the dyeing effluent, such as color, odor, pH, total dissolved solids (TDS), alkalinity, acidity, chloride, sulfate, phosphate, nitrate, chemical oxygen demand (COD), fluoride, and toxic metal levels were determined. The core parameters such as total dissolved solid (TDS), chemical oxygen demand (COD), and chloride level were determined and found to be 6500 mg/L, 2400 mg/L, and 2050 mg/L, respectively, which exceeded the regulatory limit prescribed by the Central Pollution Control Board of India. The levels of toxic metals such as Hg, Ni, and Zn were under the acceptable concentration but Cr and Pb levels in the dyeing effluent were a little bit higher. The effluent was subjected to treatment with Pistia stratiotes L, Salvinia adnata Desv and Hydrilla verticillata (L.f) Royle separately. After the treatment, the toxic metal results were recorded as below detectable levels and the same results were obtained for all three aquatic plants samples used for treatment. Among the three plants, P. stratiotes L efficiently removed 86% of color, 66% of TDS, 77% of COD, and 61.33% of chloride. The variation in phytochemicals of the macrophytes was studied before and after treatment using GC–MS which revealed the reduction of ascorbic acid in the plant samples. The toxic effect of treated effluent was investigated by irrigating an ornamental plant, Impatiens balsamina L. The plant biomass P. stratiotes L obtained after the treatment process was subjected to manure production and its nutrient quality was proved, which can be applied as a soil conditioner. Among the aquatic plants, the results of P. stratiotes L indicated a higher remediation potential, which can be used as an ecologically benign method for treatment of industrial effluents and water bodies contaminated with dyeing effluents.
Trends and New Challenges in the Green Supply Chain: The Reverse Logistics
Authors: Plaza-Úbeda José Antonio , Abad-Segura Emilio , de Burgos-Jiménez Jerónimo , Boteva-Asenova Antoaneta , Belmonte-Ureña Luis Jesús
Published: December 2020

As members of society, companies are exposed to social changes and pressures. Hence, an interest to be more environmentally friendly appears and rises in their core. Therefore, the supply chain management concept became “greener” with the development, among other practices, of reverse logistics programs. Both external pressures and internal factors, such as reducing costs and increasing operational performance, are motivating companies to pay more attention to the reverse flow. Unfortunately, there are still many boundaries that hinder the implementation of reverse logistics. Some of these obstacles include additional costs, the desire for deep collaboration with suppliers and customers, and the belief of some managers that are managing reverse flow that it is not worth the trouble. On the contrary, those who have assimilated its importance and advantages are interested in new and innovative tools that could contribute to more effective and efficient results, including the role of RFID technology.
An Improved Whale Optimization Algorithm for the Traveling Salesman Problem
Authors: Zhang Jin , Hong Li , Liu Qing
Published: December 2020

The whale optimization algorithm is a new type of swarm intelligence bionic optimization algorithm, which has achieved good optimization results in solving continuous optimization problems. However, it has less application in discrete optimization problems. A variable neighborhood discrete whale optimization algorithm for the traveling salesman problem (TSP) is studied in this paper. The discrete code is designed first, and then the adaptive weight, Gaussian disturbance, and variable neighborhood search strategy are introduced, so that the population diversity and the global search ability of the algorithm are improved. The proposed algorithm is tested by 12 classic problems of the Traveling Salesman Problem Library (TSPLIB). Experiment results show that the proposed algorithm has better optimization performance and higher efficiency compared with other popular algorithms and relevant literature.
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection
Authors: Shang Junliang , Li Yiting , Sun Yan , Li Feng , Zhang Yuanyuan , Liu Jin-Xing
Published: December 2020

Community detection is a hot research direction of network science, which is of great importance to complex system analysis. Therefore, many community detection methods have been developed. Among them, evolutionary computation based ones with a single-objective function are promising in either benchmark or real data sets. However, they also encounter resolution limit problem in several scenarios. In this paper, a Multi-Objective Pigeon-Inspired Optimization (MOPIO) method is proposed for community detection with Negative Ratio Association (NRA) and Ratio Cut (RC) as its objective functions. In MOPIO, the genetic operator is used to redefine the representation and updating of pigeons. In each iteration, NRA and RC are calculated for each pigeon, and Pareto sorting scheme is utilized to judge non-dominated solutions for later crossover. A crossover strategy based on global and personal bests is designed, in which a compensation coefficient is developed to stably complete the work transition between the map and compass operator, and the landmark operator. When termination criteria were met, a leader selection strategy is employed to determine the final result from the optimal solution set. Comparison experiments of MOPIO, with MOPSO, MOGA-Net, Meme-Net and FN, are performed on real-world networks, and results indicate that MOPIO has better performance in terms of Normalized Mutual information and Adjusted Rand Index.
Biosynthesized Iron Oxide Nanoparticles (Fe3O4 NPs) Mitigate Arsenic Toxicity in Rice Seedlings
Authors: Khan Sehresh , Akhtar Nazneen , Rehman Shafiq Ur , Shujah Shaukat , Rha Eui Shik , Jamil Muhammad
Published: December 2020

Arsenic (As) contamination has emerged as a serious public health concern worldwide because of its accumulation and mobility through the food chain. Therefore, the current study was planned to check the effect of Bacillus subtilis-synthesized iron oxide nano particles (Fe3O4 NP) on rice (Oryza Sativa L.) growth against arsenic stress (0, 5, 10 and 15 ppm). Iron oxide nanoparticles were extracellular synthesized from Bacillus subtilis with a desired shape and size. The formations of nanoparticles were differentiated through UV-Visible Spectroscopy, FTIR, XRD and SEM. The UV-Visible spectroscopy of Bacillus subtilis-synthesized nanoparticles showed that the iron oxide surface plasmon band occurs at 268 nm. FTIR results revealed that different functional groups (aldehyde, alkene, alcohol and phenol) were present on the surface of nanoparticles. The SEM image showed that particles were spherical in shape with an average size of 67.28 nm. Arsenic toxicity was observed in seed germination and young seedling stage. The arsenic application significantly reduced seed germination (35%), root and shoots length (1.25 and 2.00 cm), shoot/root ratio (0.289), fresh root and shoots weight (0.205 and 0.260 g), dry root and shoots weight (6.55 and 6.75 g), dry matter percentage of shoot (12.67) and root (14.91) as compared to control. Bacillus subtilis-synthesized Fe3O4 NPs treatments (5 ppm) remarkably increased the germination (65%), root and shoot length (2 and 3.45 cm), shoot/root ratio (1.24) fresh root and shoot weight (0.335 and 0.275 mg), dry root and shoot weight (11.75 and 10.6 mg) and dry matter percentage of shoot (10.40) and root (18.37). Results revealed that the application of Fe3O4 NPs alleviated the arsenic stress and enhanced the plant growth. This study suggests that Bacillus subtilus-synthesized iron oxide nanoparticles can be used as nano-adsorbents in reducing arsenic toxicity in rice plants.
Long-eared Owl Asio otus breeding in a Caspian Gull Larus cachinnans colony: Reversed roles in protective nesting association?
Authors: Litwiniak Klaudia , Przymencki Marcin
Published: December 2020

We describe the event of Long-eared Owls Asio otus nesting on an island within a colony of Caspian Gulls Larus cachinnans at the Mietków Reservoir (SW Poland). The owls nested in an old (possible corvid) nest in a willow and raised two owlets. They probably did not hunt gulls, neither adults nor chicks. We suggest that, in this case, the Long-eared Owls benefitted from breeding within a gull colony because of the added security against predators that the gulls provided.
Network technologies: evolution and peculiarities. Mathematical machines and systems.
Authors:   S&T Ukraine, Podroiko Ye.V. , Lysetskyi Yu.M. ,   S&T Ukraine
Published: December 2020

Today corporate network is seen as a complex system and traditionally provides the set of interacting essential components, such as: Main Site – a network of head office; Remote Site (Branch) – networks of remote office; WAN – global network uniting networks of the offices; LAN – a local network; WAN Edge – a point of connection to WAN. Internet Edge – a point of connection to the Internet; Data Cen-ter – corporate centre of data processing. Some sources also regard Service Block as a component, which is a separate segment of the network with specific services. Every component of corporate network fea-tures contains individual set of technologies, each having its history of origination and development. The paper offers short review of basic technologies which form the history of development of corporate network, as well as their evolution from a set of separated network technologies to a unified multi-service network infrastructure. This unified infrastructure is inextricably linked with a global network of Internet which is both a service and a carrier for majority of modern corporate networks. The paper de-scribes origination and development of Internet, local and global networks, Wi-Fi networks and software defined networks. Corporate network has been through a long evolution from co-existence of separated technologies to modern unified intellectual network infrastructure with high security and reliable man-agement. Due to fast-moving development of information technologies the corporate networks have dynamically transformed in several directions: network functions virtualization (NFV – Network Func-tions Virtualization); utilization of SDN solutions; automation of management processes; analytics; se-curity; cloud services. In the course of such a transformation the corporate network turned into unified, flexible, application oriented infrastructure with high reliability, easily modified and expanded function-ality, single management center, unified security policies, fast and detailed analysis of internal network processes.
Evaluation of Egg Yolk Plasma as Replacement for Whole Egg Yolk in Chicken Semen Extender
Authors: OLA Safiriyu Idowu , FALEYE Olatayo , ADEYEMİ Adenike , ADEYOSOYE Olusoji
Published: December 2020

Poultry semen has high spermatozoa concentration and needs to be extended (diluted) for efficient artificial insemination; extenders containing egg yolk often have various limitations to their use. This study assessed chicken egg yolk plasma (EYP) as replacement for chicken whole egg yolk (EY) in semen extenders. The preservative potential under room and cold storage and its influence on fertility and hatchability in breeder chicken flock was also assessed. Ten broiler breeder cocks and one hundred hens were used for the study. Semen ejaculates from the cocks were pooled and divided into five portions. One portion each was extended with egg yolk plasma (EYP); phosphate buffer saline (PBS); egg yolk (EY) +PBS or EYP +PBS while the fifth unextended portion termed fresh undiluted semen (FUS) served as the control. The ratio of EYP and EY to PBS was 1:4. The semen samples were evaluated at 1, 2 and 3 hours after extension under room temperature and at 24, 48 and 72 hours after cold storage (4℃). The hens were inseminated with the freshly extended semen or with cold preserved semen, each for three weeks. Fertility and hatchability of the eggs were recorded on 18th and 21st day, respectively post setting. At room and cold storage temperatures, the quality parameters of the semen significantly reduced as the holding time increased. The EYP groups had the highest spermatozoa motility of 55.33% at 72 hours of cold storage. Freshly extended semen with EYP+ PBS had higher quality and fertilizing potentials which resulted in increased egg fertility (87.49%) and hatchability (84.95%). Cold preserved EYP + PBS semen resulted in significantly higher fertility (75.66%) and hatchability (90.90%). It was concluded that egg yolk plasma could conveniently replace whole egg yolk in chicken semen extender resulting in improved sperm viability and egg hatchability.
Beç Tavuğu, Sülün ve Kekliklerde Yetiştirme Sistemi (Kapalı ve Serbest Gezinmeli) ve Karkas Parçalarının (But ve Göğüs) Besin Madde ve Yağ Asitleri Kompozisyonuna Etkileri
Authors: BOZ Mehmet Akif , SARICA Musa , SAMİ YAMAK Ümit , ÖZ Fatih
Published: December 2020

Bu araştırma, serbest sistem ve kapalı sistemlerde 16 hafta yetiştirilen beç tavuğu, keklik ve sülünlerin göğüs ile but etlerinde besin madde ve yağ asitleri kompozisyonun belirlenmesi amacıyla yürütülmüştür. Serbest ve kapalı sistemlerde 16 hafta süre ile yetiştirilen (erkek-dişi karışık) keklik, sülün ve beç tavuklarından kesim sonrası elde edilen derisiz göğüs ve but eti örnekleri analiz edilmiştir. Elde edilen verilerin değerlendirilmesi sonucunda, ham yağ oranı, linoleik asit, linolenik asit ve cis-11-eikosenoik asit keklik etinde, miristik asit beç tavuğu etinde, cis-4,7,10,13,16,19-dokosaheksaenoik asit (DHA) sülün etinde daha yüksek tespit edilmiştir. Stearik asit ve erüsik asit sülün ve Beç tavuğu etinde, oleik asit ise keklik ve sülün etinde daha yüksek bulunmuştur. Yetiştirme sisteminin besin madde ve yağ asitleri içeriği üzerine etkisi önemsiz olmuştur. Kuru madde, ham protein, miristik asit, palmitik asit ve stearik asit göğüs etinde daha yüksek belirlenmiştir. Oleik asit, linoleik asit, linolenik asit, erüsik asit ve cis-4,7,10,13,16,19-dokosaheksaenoik asit (DHA)ise but etinde daha yüksek bulunmuştur. Sonuç olarak, tür ve karkas parçasına bağlı olarak besin madde ve yağ asitleri kompozisyonu değişiklik gösterirken, yetiştirme sistemlerinin etkisinin önemsiz olduğu tespit edilmiştir.
O cinema-cefalópode dos infernos: entrevista com William Brown
Authors: Camargo Paulo Roberto Ferreira de , Florenzano Antonio Carlos Persegani
Published: December 2020

Entrevista on-line concedida a Paulo Roberto Ferreira de Camargo logo após o Seminário Avançado The squid cinema from hell, ministrado aos alunos e professores do PPG-Com UTP; e também on-line, no dia 16 de outubro de 2020, com tradução de Antonio Carlos Persegani Florenzano. 

O pesquisador britânico William Brown, PhD em Cinema Contemporâneo pela Universidade de Oxford, atua como Senior Lecturer em Estudos Fílmicos na Universidade de Roehampton, em Londres. Escreveu inúmeros artigos e editou coleções com ênfase na tecnologia digital. Ele é o autor dos livros Deleuze and Film (with David Martin-Jones, 2012); Supercinema: Film Philosophy for the Digital Age (2015); Non-cinema: Global Digital Filmmaking and the Multitude (2018); e The Squid Cinema From Hell (with David H. Fleming, 2020). Brown é também um criador de filmes de micro-orçamento, incluindo En Attendant Godard (2009), Selfie (2014) e This is Cinema (2019). 

A entrevista concentra-se na apresentação de Brown, com base no seu livro mais recente. A partir da exemplificação da presença de cefalópodes e criaturas semelhantes em vários filmes, de diferentes gêneros e no mundo todo, o autor, ousadamente, vai sugerir que a mídia digital - e talvez os meios de comunicação de forma mais geral - podem ser melhor entendidos como 'kinoteuthis infernalis'. Ou seja, as mídias digitais constituiriam uma Medusa moderna, fixando nosso olhar e nos transformando em pedra - ainda que também possam nos ajudar, positivamente, a reconfigurar nosso lugar com o multiverso e nossa relação com o espaço e o tempo.
PENGARUH DINNING ATMOSFER DAN LABEL REKOMENDASI TERHADAP KEPUASAN KONSUMEN
Authors: Afifah Afifah
Published: December 2020

Artikel ini berisi pemaparan tentang pengaruh suasana restoran dan label Rekomendasi yang diberikan pemerintah daerah terhadap kepuasan konsumen restoran. Pemaparan ini adalah hasil penggalian persepsi terhadap 100 orang responden yang dipilih secara acank dari sejumlah konsumen restoran yang sedang berkunjung. Penggalian persepsi responden menggunakan kuesioner yang telah teruji validitas maupun reliabilitasnya. Hasil penyebaran kuesioner dianalisis menggunakan regresi linier sederhana dengan bantuan Software SPSS. Hasil analisis menunjukkan suasana restoran memiliki pengaruh yang positif dan signifikan terhadap kepuasan konsumen dengan nilai t sebesar 7,043, demikian juga dengan label Rekomendasi dengan nilai t sebesar 2,680. Dua aspek yang dipaparkan dalam artikel ini mempengaruhi 32.2 persen dari keseluruhan aspek yang memberi kepuasan konsumen ketika berkunjung ke restoran. Suasana restoran lebih berpengaruh terhadap kepuasan konsumen daripada label rekomendasi, hal ini diketahui dari tingkat singnifikansi suasana restoran yang bernilai 0.000 lebih kecil dari tingkat signifikansi kepemilikan label rekomendasi yang bernilai 0.008
Habilidades sociales en niños de nivel primaria en una red educativa rural multigrado
Authors: Valiente Castro Marco Antonio , Hernández Fernández Bertila
Published: December 2020

La investigación tuvo como finalidad proponer un modelo de programa sobre Habiliades Sociales para niños (as)de primaria en una Red Educativa Rural Multigrado de Lambayeque. Por lo que, se empleo un enfoque cuantitativo, de alcance descriptivo-propositivo y diseño no experimental y transversal. La población que se consideró para el estudio fue de 100 estudiantes a quienes se les aplico el ciestionario de Monja (1995) con la intensión de conocer como se dan estas habilidades en en una realidad natural. Así también, se diseño un modelo de programa de habilidades sociales, teniendo como base las teorías; Aprendizaje Social de Bandura (1977), Sociocultural de Vigotsky  (1993) y la adaptación del programa de enseñanza de Habilidades de Interacción Social  (PEHIS) de Monja (1995). A partir del diagnóstico realizado a través del cuestionario ya mencionado, se obtuvo como resultado que los estudiantes poseen un nivel regular de Habiliades Sociales. Se concluyó que estas habilidades se desarrollan de manera medianamente competente, siendo necesario ejecutar la propuesta de Habilidades Sociales para mejorar el hallazgo, y así conseguir buenas interacciones sociales.

Palabras claves: Habiliades Sociales, etapa niñez, educación primaria, Red Educativa.
Énfasis en la formación de habilidades blandas en mejora de los aprendizajes
Authors: Aguinaga Vásquez Silvia Josefina , Sánchez Tarrillo Segundo Juan
Published: December 2020

El escenario actual presenta vertiginosos cambios, que desde luego invita a no perder de vista a la escuela y particularmente a la institución mater como la universidad, con el fin de observar en principio, si éstas conjuntamente están formando o no las habilidades y competencias para desempeñarse en una sociedad tan desemejante como la nuestra. En este mismo escenario, existe una ardua tarea de investigadores y publicaciones que inciden y le ponen énfasis al desarrollo de habilidades blandas. Frente a ello, el objetivo del presente artículo de revisión es evaluar la calidad teórica y metodológica de las publicaciones a través del estudio selectivo y crítico de lo que los autores argumentan sobre formación de habilidades blandas, llamadas también habilidades socioemocionales, en mejora de los aprendizajes, a partir del análisis de las fuentes primarias, secundarias y terciarias como artículos, informes, programas y libros. Metodológicamente por su naturaleza es una investigación de revisión descriptiva correlacional y se centra particularmente, en la revisión de artículos científicos originales, tesis e informes, recurriendo al método deductivo e inductivo, empleando el análisis y meta-análisis. La revisión se realizó considerando el criterio de selección, el criterio de inclusión y exclusión, el criterio temporal y el de búsqueda de información objetiva en revistas indexadas. Finalmente, se concluye que las diversas publicaciones sobre habilidades blandas, desde el nivel cualitativo, cuantitativo y mixto presentan un profundo análisis de las variables de estudio tanto en teoría como en la metodología, evidenciándose el uso de técnicas e instrumentos en cada una de las investigaciones y cuyos resultados determinan que el desarrollo de habilidades blandas contribuye de modo significativo en el aprendizaje.
Programa de educación ambiental y la conservación de los bosque amazónicos en estudiantes de Ciencias Histórico Sociales de la Facultad de Educación de la UNFV. Lima. 2020
Authors: Alva Miguel Walter Hugo , Matos Huamán César , Zúñiga Reynoso Carlos
Published: December 2020

La finalidad esencial de la presente investigación fue comprobar si un Programa de Educación Ambiental elaborado y aplicado por los autores arriba indicados influye positivamente en el desarrollo y consolidación del cuidado y la conservación de los bosques amazónicos en alumnos de la especialidad de CC. HH. SS. de la UNFV (CC. HH. SS. de la UNFV en adelante). Con este fin se aplicó dos cuestionarios tipo Likert como tests de ingreso y egreso del programa. La muestra estuvo conformada por 44 alumnos (30 alumnos pertenecientes al Grupo Experimental y 14 alumnos pertenecientes al Grupo Control), la misma que fue seleccionada utilizando el “muestreo no probabilístico” de tipo opinático o criterial. El enfoque fue cuantitativo, el nivel descriptivo comparativo y el diseño adoptado fue el “cuasi experimental”. Se utilizó la razón “t” de Student, y se aplicó el Programa SPSS para el procesamiento de la información recabada mediante los instrumentos respectivos y para la comprobación de las hipótesis. Se comprobó que si se aplica el Programa de Educación Ambiental mejora significativamente la preocupación por el cuidado y mantenimiento de los bosques amazónicos en estudiantes seleccionados

Palabras claves:

Programa de educación ambiental, Conocimiento, Protección, Conservación y Promoción de los de bosques amazónicos.
PENENTUAN KURVA RESPON SPEKTRA GEMPA KOTA PALEMBANG MENGGUNAKAN FUNCTION TYPE IBC 2006 PADA SAP2000 DENGAN PARAMETER GEMPA DARI “PETA SUMBER DAN BAHAYA GEMPA TAHUN 2017”
Authors: Sapta Sapta , Farlianti Sari
Published: December 2020

Pada tulisan ini penulis akan membuat dan meninjau kurva respon spektra percepatan gempa dipermukaan tanah di wilayah kota Palembang menggunakan data percepatan respon spektra terpetakan periode pendek (Ss) dan periode 1,0 detik (S1) yang terdapat pada “Peta Sumber dan Bahaya Gempa Tahun 2017” dengan menggunakan program analisa struktur SAP2000 dengan menggunakan pilihan Function Type  IBC 2006 (salah satu template pada SAP2000). Pemilihan Function Type IBC 2006 dengan pertimbangan merupakan salah peraturan yang ada pada program SAP2000 hanya menginput data Ss dan S1 dalam membuat kurva percepatan respon spektrum. Dari hasil analisa dan pembahasan yang dilakukan didapatkan bahwa penggunaan program SAP2000 dalam pembuatan kurva percepatan respon dengan menggunakan data percepatan respon spektra periode pendek (Ss= 0,2861.g) dan periode 1 detik                            (S1= 0,252.g) didapatkan hasil yang tidak jauh berbeda dengan menggunakan Aplikasi Online RSA 2019, dimana terlihat rasio (perbandingan hasil SAP2000 terhadap RSA 2019) respon spektra disain periode 0,2 detik (SDS)  untuk tanah keras, sedang, dan lunak secara berturut-turut adalah sebesar 0,916, 0,999 dan 1,034 sedangkan untuk respon spektra disain periode 1,0 detik (SD1) rasionya adalah sebesar 1,040, 0,910 dan 0,986. Maka dapat ditarik suatu kesimpulan bahwa kurva percepatan respon spektra yang dihasilkan dengan menggunakan program SAP2000 berdasarkan Function Type IBC 2006 menghasilkan nilai selisih percepatan respon spektra kurang dari 1,0% (dengan Rasio minimum > 0,90). Kondisi ini menunjukan penggunaan nilai Ss dan S1 khususnya untuk wilayah kota Palembang masih dapat digunakan dalam penentuan kurva respon spektrum pada program SAP2000 menggunakan Function Type IBC 2006.

Kata kunci: SAP2000, Percepatan Respon Spektra, Rasio