bluuebunny/crossref_metadata_2025 huggingface dataset:
EFFECT OF MUDARABAH AND MUSHARAKAH FINANCING ON RETURN ON EQUITY (ROE) CASE STUDIES ON ISLAMIC COMMERCIAL BANKS IN INDONESIA FOR THE PERIOD 2015-2019
Authors: Islamiyati Ghitha Millatina , Diana Nana
Published: June 2021

ABSTRAKTujuan dari penelitian ini adalah untuk mengetahui apakah pembiayaan mudharabah dan pembiayaan musyarakah berpengaruh terhadap Return On Equity (ROE) studi kasus pada Bank Umum Syariah di Indonesia periode 2015-2019. Populasi dalam penelitian ini adalah seluruh data dalam laporan keuangan yang terdapat pada Bank Umum Syariah di Indonesia dan didapat sampel dari hasil purposive sampling sebanyak 9 Bank Umum Syariah dengan variable bebas yaitu pembiayaan mudharabah (X1) dan pembiayaan musyarakah (X2) serta variabel tetap yaitu Return On Equity (ROE) (Y). Metode penelitian yang digunakan yaitu analisis deskriptif, uji asumsi klasik yang terdiri dari uji normalitas, uji heteroksiditas, uji multikolinearitas dan uji autokorelasi juga uji hipotesis yang terdiri dari uji statistic t untuk menguji secara terpisah, uji statistic F untuk menguji secara bersama dan koefisien determinasi (R2). Hasil penelitian menjelaskan bahwa secara terpisah, Return On Equity (ROE) tidak dipengaruhi oleh pembiayaan mudharabah maupun pembiayaan musyarakah.. Pada uji secara bersama-sama, Return On Equity (ROE) tidak dipengaruhi oleh pembiayaan mudharabah dan pembiayaan musyarakah studi kasus Bank Umum Syariah di Indonesia periode 2015-2019.Kata Kunci: pembiayaan mudharabah, pembiayaan musyarakah, return on equity ROE), bank umum syariah. ABSTRACTThe intention of this research is to reveal whether mudarabah and musharakah financing have an effect on the return on equity (ROE) case studies on Islamic Commercial Banks in Indonesia period 2015-2019. The population in this research is all data in the financial reports contained in Islamic Commercial Banks in Indonesia and obtained samples from the purposive sampling of 9 Islamic Commercial Banks with independent variables, namely mudarabah financing (X1) and musharakah financing (X2) and dependent variable namely return on equity (ROE) (Y). The research method used are analysis of descriptive, test of classic assumption which contains test of normality, heteroxidity test, multicollinearity test and autocorrelation test as well as hypothesis testing which includes t statistical test to test partially, statistical F test to test simultaneously and the coefficient of determination (R2). The results of the research explain that partially, return on equity (ROE) has no effected by mudarabah financing and musharakah financing. In the simultaneous test, return on equity (ROE) has no effected by mudarabah financing and musharakah financing in case study of Islamic Commercial Banks in Indonesia for the 2015-2019 period. Keywords: Mudarabah financing, musharakah financing, return on equity (ROE), Islamic commercial bank.
Quantification of greenhouse gas emissions of a steel factory in Brazil
Authors: Alves de Novaes Gomes Danielle , da Costa Pereira Torres de Oliveira Janaina , Simonato Mozer Thiago
Published: June 2021

his work aimed to identify and quantify greenhouse gases (GHG) emissions of a steel factory, considering the importance of these data in the context of large global GHG emissions. As a result, Scope 1 emissions were identified as the highest in the industry, representing more than 89% of total emissions in CO2eq. This scenario is mainly identified a result of the Brazilian energy matrix configuration, which contributes to reduce Scope 2 emissions. The used methodology (GHG Protocol v. 2018.1.4) proved to be appropriate for calculating emissions within a broader report (annual amount). However, in order to develop an indicator for the organization, with monthly detailed data, it was necessary to adapt the tool, which is the differential of this work.
Connecting heavy precipitation events to outgoing long wave radiation variability scales: Case analysis in Brazil
Authors: Müller Gabriela V. , Fernandes Valesca R.
Published: June 2021

Spatial fields of outgoing long wave radiation (OLR) spectrum variance of the 1979-2016 austral summer months in southern Brazil are analyzed on different timescales: synoptic, sub-monthly, and intra-seasonal. Variability fields differ both in intensity and location and highlight dominant convection cycles in the study area. The results show that the amplitude of sub-monthly variability is greater than that of the other scales in the southeastern region of Brazil, while the synoptic scale prevails in the southern region. The above-mentioned scales show greater amplitudes over the western Pacific Ocean where the Madden-Julian Oscillation plays an important role, along the South Pacific Convergence Zone, and over the storm track areas over the South Pacific Ocean. The influence of spectral OLR scale interaction is also analyzed, associated to the occurrence of two intense rainfall events over the southeastern Brazil in the austral summers of 2011 and 2014 when the South Atlantic Convergence Zone (SACZ) was active in both events. The results obtained suggest that spectral OLR scale interaction takes place in such way that it strengthens the SACZ, since the spatial pattern footprints of the two to eight-day timescale (synoptic), 10 to 30-day timescale (sub-monthly) and 30 to 60-day timescale (intra-seasonal) overlap in the study region.
Dialogue about gender, sexuality and bodies in academic context: a possibility of pedagogical innovation?
Authors: Oliveira Anselmo Lima de , Brazão José Paulo Gomes , Dias Alfrancio Ferreira
Published: June 2021

Bodies and sexualities are present in universities, but, even so, they continue to be denied and displaced to social silence. Building dialogues with the academic-scientific community can change traditional scenarios about the aforementioned themes and open possibilities for pedagogical innovation. The purpose, in this article, is evident in outlining theoretical and methodological approaches regarding the affirmation of sexuality, body and gender, in the academic context. Anchored in post-critical studies, we will seek to dialogue with authors of significant scope, such as: Michel Foucault, Judith Butler, Guacira Lopes Louro and Beatriz Dounis.
Multi-objective source scaling experiment
Authors: Costley D. , De Jesús Díaz, Luis , McComas Sarah , Simpson Christopher , Johnson James , McKenna Mihan
Published: June 2021

The U.S. Army Engineer Research and Development Center (ERDC) performed an experiment at a site near Vicksburg, MS, during May 2014. Explosive charges were detonated, and the shock and acoustic waves were detected with pressure and infrasound sensors stationed at various distances from the source, i.e., from 3 m to 14.5 km. One objective of the experiment was to investigate the evolution of the shock wave produced by the explosion to the acoustic wavefront detected several kilometers from the detonation site. Another objective was to compare the effectiveness of different wind filter strategies. Toward this end, several sensors were deployed near each other, approximately 8 km from the site of the explosion. These sensors used different types of wind filters, including the different lengths of porous hoses, a bag of rocks, a foam pillow, and no filter. In addition, seismic and acoustic waves produced by the explosions were recorded with seismometers located at various distances from the source. The suitability of these sensors for measuring low-frequency acoustic waves was investigated.
Investigating the Properties of Modified Drilling Mud with Barite/Polyacrylamide Nanocomposite
Authors: Roodbari Pouria , Sabbaghi Samad
Published: June 2021

Drilling mud plays a significant role in the drilling operation because it is influential in the quality of the drilled well and the efficiency of the drilling operation. In this paper, we aim to identify the methods to improve the effectiveness of drilling operations by analyzing and evaluating the impact of adding polyacrylamide and a barite/polyacrylamide nanocomposite, synthesized through the solution polymerization method, on the properties of drilling mud. The study added the synthesized nanocomposite to the water-based drilling mud (350 cm3 water with 10 g bentonite) and examined the properties of the drilling mud, including viscosity, fluid loss, and mudcake thickness. Overall, the results indicated that the addition of the synthesized nanocomposite caused a decrease in fluid loss and the thickness of the mudcake, while it increased the drilling mud’s viscosity.
Cav3.3 Down-Regulates CaMKII Beta to Ameliorate Neurotoxic Injury to the DRG Induced by Ropivacaine Hydrochloride
Authors: Wen Xianjie , Li Yiqun , Wu Zhaoxia , Chen Meixin , Yang Shuxuan
Published: June 2021

Background: The neurotoxicity of local anaesthetics is often reported. The present study aimed to investigate the relationship between Cav3.3 and CaMKⅡbeta in local anaesthetic neurotoxicity. Methods: An in vitro ropivacaine-induced model of neurotoxic injury to the dorsal root ganglion neurons was used. After specifically inhibiting the expression of Cav3.3 mRNA in DRG neurons by RNAi, cell viability, CaMKⅡbeta expression and the intracellular calcium ion level were detected in DRG neurons.Results: The results showed that the expression of CaMKⅡbeta decreased after the expression of Cav3.3 was inhibited. At the same time, in a model of ropivacaine hydrochloride-induced neurotoxic injury, inhibiting the expression of Cav3.3 mRNA improved cell viability and reduced the intracellular calcium level.Conclusions: These results suggest that Cav3.3 may be involved in neurotoxic injury induced by local anaesthetics by regulating the expression of CaMKⅡbeta. Both Cav3.3 and CaMKⅡbeta are therapeutic targets for neuronal injury induced by local anaesthetics.
Gravity, the origin of the mass in the Cosmos
Authors: Pavía Francisco , Alvarez Marcelino
Published: June 2021

The most accepted theory for the evolution of the Cosmos is the Big Bang theory, which suggests that, at the beginning, the entire mass-energy of the Cosmos was concentrated within an extremely small, dense and hot singularity. Here, we present a new physical formula that, although obtained in an extremely simple way, has significant implications in Cosmology. This equation indicates that the mass of the Cosmos has grown proportionally with time. This growth equates to a Planck mass for each unit of Planck Time, which is, the mass of 200000 suns per second. Finally the total energy of the Cosmos is demonstrated to be zero.
Association of global sagittal spinal deformity with functional disability two years after total hip arthroplasty
Authors: Okamoto Yoshinori , Wakama Hitoshi , Okayoshi Tomohiro , Otsuki Shuhei , Neo Masashi
Published: June 2021

Background: The relationship between spinopelvic alignment and functional disability after total hip arthroplasty (THA) has not been fully elucidated despite the growing recognition of its importance on patient-reported outcome measures. Therefore, our aim was to assess the effect of global sagittal spinal deformity on post-operative disability.Methods: This prospective analysis was based on 208 cases of THA, with functional disability measured at a follow-up of 2 years. The Hip Disability and Osteoarthritis Outcome Score-Joint Replacement (HOOS-JR), ranging from a scale of 0 (complete joint disability) to 100 (perfect joint health), was used to divide eligible patients into two groups, namely with and without disability, using a score of 70 as the cut-off. The following factors were compared between the two groups using multivariate analysis: age, sex, body height, body mass index, spinopelvic parameters, and surgeon experience. To identify the cut-off value of the parameters for predicting disability (HOOS-JR <70/100), we used the receiver-operating characteristic curve.Results: The disability (30 hips) and control (178 hips) groups showed a significant difference in pre-operative body height (p = 0.020), T1 pelvic angle divided by pelvic incidence (T1PA/PI; p = 0.018), PI minus lumbar lordosis (p = 0.027), post-operative HOOS-JR (p = 0.010), patient satisfaction (p = 0.033), and the modified Harris Hip Score (p = 0.038). On multivariate analysis, the following factors were associated with persistent disability: T1PA/PI >0.2 (odds ratio [OR], 2.11; 95% confidence interval [CI], 1.19–4.14; p < 0.001) and height <148 cm equivalent to legal standards as short stature (OR, 1.26; 95% CI, 1.09–1.48; p = 0.011). The cut-off value of pre-operative T1PA/PI was >0.19, with a sensitivity of 95% and specificity of 85%. Post-operative satisfaction (p < 0.001), HOOS-JR (p = 0.023), and EuroQol 5-Dimension (p = 0.041) differed between the two groups when the pre-operative cut-off value was chosen as 0.2.Conclusions: A T1PA/PI >0.2 was associated with greater disability after THA. Clinicians should be aware that patient-related factors, including global spinal deformities, particularly in patients with a short stature, can influence THA outcomes at 2 years postoperatively.
Overview of the integrated efficiency of management of the green supply chain in battery industrial companies. A study of an electric motorcycle battery company in China
Authors: Hamad Abdulsattar Abdullah
Published: June 2021

The introduction of green supply chain coordination management is an important strategy for battery manufacturing firms that can effectively grow the Green Industrialization Movement and encourage resource recycling. First, this paper builds a collaborative management model to analyze the efficiency of the battery manufacturing business from the internal and external supply chain, based on the supply chain principle, in order to enhance the performance of the green supply chain well. After that, this paper makes an empirical study of the productive and green system efficiency of the green supply chain of companies. Since TIANNENG is the largest electric bicycle company in China, we take it as an example here. The results show that the overall green output of Chinese industrial companies in the field of electric bicycle batteries is strong, but with obvious fluctuations. The internal green output is reasonably constant, and change requires new power; the external green performance fluctuates heavily. The findings also show that industrial battery companies can increase the level of collection and recycling of waste, improve the efficiency of recovery and reuse of residual heat, and improve the organization of the green supply chain.
DPD with PAPR Suppression for F-OFDM Systems
Authors: Liao Xiao , Luo Zhinian
Published: June 2021

A combined digital pre-distortion (DPD) and peak to average power ratio (PAPR) reduction for Filtered Orthogonal Frequency Division Multiplexing (F-OFDM) systems is proposed where F-OFDM is one of the candidates for 5G waveform technology. In the system, the power amplifier (PA) will produce nonlinear distortion because it works in the saturation region and the high PAPR. DPD based on PAPR reduction structure may be adopted to compensate the nonlinear resulting from PAs. Firstly, in order to reduce the PAPR, a low complexity iterative partial transmission sequence (IPTS) algorithm combined with iterative clipping revision (ICR) is introduced. And then, the joint structure of DPD and IPTS-ICR is proposed. Simulation results show that the proposed structure can improve the PAPR suppression performance of F-OFDM system compared to low complexity IPTS algorithm or ICR algorithm alone. The proposed structure can also effectively improve the nonlinear distortion of the F-OFDM system.
Charging of electric vehicles and potential for end user flexibility: Case study from Norway
Authors: Henriksen Ida Marie , Throndsen William , Ryghaug Marianne , Skjølsvold Tomas Moe
Published: June 2021

Background

Norway is currently in the process of replacing internal combustion engine (ICE) vehicles with electric vehicles (EV). The steadily increasing number of EVs being charged in the mornings and evenings in Norway has added strain to local electricity grids. This article presents findings from a qualitative study of participants in one Norwegian demonstration project on smart EV charging, which intends to make charging more flexible. In order to establish a systematic overview of the relationship between everyday complexities and EV charging end user flexibility, we employ a domestication theory approach and analyze how different charging practices becomes a part of everyday life.
Result

In this paper we argue that the domestication theory approach, with its focus on symbolic, practical, and cognitive aspects of technology use and appropriation, highlights how EV uptake and ancillary technologies is modulated by a wide array of factors. Our findings present four different motivations behind our respondents’ choice to participate in a smart charging pilot. The first one is the fire safe charging device. Second is motivated by the pure joy of smart home technology, third is the practical- economical motivation, and the fourth is flexibility as comfort.
Conclusions

In the green transition whit new renewables and the electrification of transport system the EV charges are a hot spot. By analyzing how different EV owner’s domestication their EV charging we can understand how flexibility from the end-user are individual practice that is connected to the everyday life routine and interest. EV owners do not have one profile but are driven by different kind of motivation. This micro perspective of understanding the flexibility is crucial when the individuals EV charging practice is both a part of the challenges and the solution in the energy transition where the electric grid need to be stabilized.
Analyzing the Effects of the Dwelling Characteristics on Space Heating Costs with the Rank Correlation Bayesian Network Model
Authors: Sevinç Volkan
Published: June 2021

Energy is one of the main concerns of humanity because energy resources are limited and costly. In order to reduce the costs and to use the energy for space heating effectively, new building materials, techniques and insulations facilities are being developed. Therefore, it is important to know which factors affect the space heating costs. This study aims to introduce the novel Rank Correlation Bayesian Network model and its application in analyzing the effects of dwelling characteristics on the space heating costs. The results show that the constructed Rank Correlation Bayesian Network model performed better than the Bayesian networks models estimated by Bayesian search, PC and Greedy Thick Thinning algorithms, which are kinds of structure learning algorithms having different kinds of estimation mechanisms to build Bayesian networks. The constructed Rank Correlation Bayesian Network model shows that the space heating costs of the dwellings are mostly affected by the heating systems used. Coal stoves, air conditioners and electric stoves appear to be the costliest heating systems. The second most important factor appears to be the existence of external wall insulation. The lack of external wall insulation almost doubles the space heating costs. The third most important factor is the building age. Dwellings on the ground floors and the first floors appear to pay the highest space heating costs. Therefore, dwellings on these floors need to be more effectively insulated. As the size of the dwelling increases the heating cost increases too. Another result is that facing directions and floor levels of the dwellings have the least effects on their space heating.
Novel Technique in the Management of a Patient With Pulmonary Arteriovenous Malformation and Biventricular Non Compaction
Authors: Vinayakumar Desabandhu , Rajesh Gopalan Nair , Vellani Haridasan , Jose Jomy Vadasseril
Published: June 2021

Background: Transcatheter device closure has become the primary treatment modality for pulmonary arteriovenous malformations. When compared to lobectomy or vessel ligation, this approach is much less destructive and allows for selective closure of the arteriovenous malformation while preserving the normal branching vessels and lung parenchyma. But, often the procedure is cumbersome due to anatomical and procedural factors. Case Presentation: We report the case of a 19 year old lady with biventricular non compaction and pulmonary arteriovenous fistula. She had deep cyanosis due to right to left shunt at two levels, through the stretched open patent foramen ovale due to severe right ventricular dysfunction and through the pulmonary arteriovenous malformation. The two feeders of the malformation were closed by device closure. The second feeder was closed by creating a venovenous loop via the patent foramen ovale, the pulmonary vein and through the pulmonary arteriovenous malformation into the pulmonary artery. To the best of our knowledge, this technique has never been described before in literature.Conclusion: This is a novel technique in the closure of pulmonary arteriovenous malformations, particularly in tortuous vessels which augment the difficulty in the placement of the delivery sheath and delivery of the occluder device.
Efficacy of plant biomass Leucaena leucocephala and Albizia amara for degradation of textile navy blue dye simulated in Virgin-red soil
Authors: Nehru Sudarmani Gayathri , Venkatachary Jayanthy Jayanthy
Published: June 2021

Phytoremediation a green initiative is one of the major process involved in Phytotechnology. Phytoremediation of textile dye contaminated soil faces a particular challenge which uses plants and their associated rhizospheric microorganisms to remove pollutants from contaminated sites. Unlike other contaminants, dye cannot be degraded. Commonly, decontamination of dye contaminated soils requires the removal of toxic substances. Textile dye discharges pollutes the fertile cultivated land day by day and thus occurs the loss of vegetation, hence an ecofriendly method phytoremediation was carried out to minimise risk of causing the other chemicals for cleaning method to avoid environmental risk as well as health. Recently, phytostabilisation a plant based technologies, the use of plants to extract toxic organic substances from contaminated soils, has emerged as a cost-effective, environment-friendly cleanup alternative. The aim of the present research work is to identify the efficacy of plant biomass Leucaena leucocephala and Albizia amara to remove dye contamination from textile navy blue simulated soils and discusses the effects of agronomic practices on these processes. In this study the two different source of plant is used as biomass so as to minimise the exploitation of using a single source. This were evaluated using the parameters biometric evaluation, biochemical estimation, stress markers, estimation of DNA and DNA profiling by Agarose gel electrophoresis. Challenges progress in the field is hindered by lack of understanding of complex interactions in the rhizosphere and plant based mechanisms which allow dye translocation and chemical accumulation in plants. This research concludes with suggestions for future phytoremediation research.
A Novel Data Gathering Algorithm For Wireless Sensor Networks Using Artificial Intelligence
Authors: Ch Swapna , Budyal Vijayashree R
Published: June 2021

The most challenging task in wireless sensor network is energy efficiency, as energy is the major constraint in the wireless sensor network to improve the life time of the network. Hence developing algorithms to improve network life time is the major task. In wireless sensor network most of the energy is wasted while gathering the data, hence an efficient algorithm which conserves energy has to be designed. Thus our proposed work A Novel Data Gathering Algorithm for Wireless Sensor Networks using Artificial Intelligence (NDGAI) uses mobile element and deals with the conservation of energy while gathering the data. Appropriate clustering, cluster leader selection and proper path determination of mobile element helps to conserve energy and improve the over all network life time. In our proposed work initially the clusters are forged by using Amended Expectation Maximization(AEM) algorithm, which is the maximum likelihood estimate. It is used along with Gap statistic method to find the optimal number of clusters. AEM algorithm helps in obtaining the centres of the cluster with maximum number of nodes near the cluster centres. For each cluster, Cluster Leader (CL) is selected by using Fuzzy Logic. Fuzzy logic selects the node which is near to the cluster centre by using parameters such as Closeness of node to the Cluster Centroid, direction of node towards base station, number of Neighbouring Nodes. After the CL’s are determined, to reduce the path length virtual points(VP) are selected so that mobile element reaches this virtual point and collects the data. These VP’s are selected only when the CL has data in it. The mobile elements can reach these virtual points intelligently by using optimal path,that is obtained by using hybrid of Particle Swarm Optimization and Artificial Bee Colony algorithm. Thus the mobile element travels in the optimal path and gathers the data from the entire network intelligently and efficiently with less amount of energy. With this approach the performance and life time of the network is improved while gathering the data. The simulation results are compared with Scalable Grid-Based Data Gathering Algorithm for Environmental Monitoring Wireless Sensor Networks (SGBDN) and proved that the proposed method is better than SGBDN .
Robust H∞ Control of Networked System In Microgrid Under Random Packet Loss
Authors: Feng Yiwei , Ma Jing , Wang Xin
Published: June 2021

The desire for sustainable development has led to the advancement of renewable energy generation through microgrids, and the control and stability of microgrids pose serious challenges to the popularization of microgrids. This article focuses on the stability and performance of the microgrid, and due to its limited channel bandwidth and other factors, may result in the loss of random packets from the sensor to the controller and from the controller to the actuator. To solve the problem, this paper designed a feedback controller based on the observer and robust H∞ control method and has established Bernoulli packet loss model. The proposed controller enables the networked control system robust exponential stability in the sense of mean square. Finally, the correctness and effectiveness of the proposed controller is verified by MATLAB simulation.
Efficient Classification of Horizontal And Vertical EOG Signals For Human Computer Interaction
Authors: Abdel-Samei Abdel-Gawad A. , S.Ali Ahmed , El-Samie Fathi E. Abd , M.Brisha Ayman
Published: June 2021

Human-computer interaction (HCI) using Electrooculography (EOG) has been a growing area of research in recent years. The HCI provides communication channels between the human and the external device. Today, EOG is one of the most important biomedical signals for measuring and analyzing the direction of eye movements. The EOG is used to produce both activities in vertical and horizontal directions of human eye movements. In this paper, different human eye movement tasks from vertical and horizontal directions are studied. The dataset of EOG signals were obtained from Electroencephalography (EEG) electrodes from 27 healthy people, 14 males and 13 females. This process resulted from two dipole signals, the vertical-EOG signals and the horizontal-EOG signals. These signals were filtered by band-pass at 0.5–5Hz. A total of 54 datasets from these 27 healthy individuals, each lasting 30 seconds, were given. The Bo-Hjorth parameter was implemented for feature extraction on the preprocessed EOG signals. For classification, Decision Tree (DT), K-Nearest Neighbor (KNN), Ensemble Classifier (EC), Kernel Naive Bayes (KNB) and Support Vector Machine (SVM)) were utilized. The obtained results reveal that the best classifiers on horizontal and vertical signals are the Support Vector Machine (SVM), the Cosine KNN and the Ensemble Subspace Discriminant with having 100% percentage accuracies. Through designing the proposed algorithm for feature extraction, the highest performance of classification can be obtained for rehabilitation purposes and other applications that help the handicapped to take decisions for better life quality, by providing possible human interaction with a computer.
A Novel Group Mobility Model for Software Defined Future Mobile Networks
Authors: A Sureshkumar , D Surendran
Published: June 2021

Nowadays, a massive amount of data leads to cause network traffic and inflexible mobility in future mobile networks. A new Group Mobility Model (GMM) named MoMo is introduced that addresses the issue of the aforementioned problems. Even though, software defined network (SDN) is functional with network-rooted mobility protocols that enhance the network efficiency. Some existing network-rooted mobility administration methods still undergo handover delay, packet loss, and high signaling cost through handover processing. In this research work, SDN-based fast handover for GMM is proposed. Here, the neighbor number of evolving node transition probabilities of the mobile node (MN) and their obtainable resource probabilities are estimated. This makes a mathematical framework to decide the preeminent number of the evolving nodes and then allot these to mobile nodes virtually with all associations finished by the exploit of Open-Flow tables. The performance examination demonstrates that the proposed SDN rooted GMM technique has the enhanced performance than the conventional handover process and further technique by handover latency, signaling cost, network throughput, and packet loss.
A Novel Optimized Deep Learner with Lightweighted Encryption-Based Speaker Verification
Authors: Rathinaraja Sujiya , Eswaran Chandra
Published: June 2021

In the modern digitalized world, Speaker verification (SV) system is essential for authorizing the client’s credentials. To design an effective SV system, MGWOVSW-CAES-GMM system has been proposed. In this system, the Modified Grey Wolf Optimization (MGWO) technique was employed to optimize the variable sliding window size, FMPM features and training variables. The optimized features were watermarked and encrypted using a Chaotic-based Advanced Encryption Standard (CAES). Once the encryption process was completed, the encrypted features were forwarded to the recipient who executes the decryption and de-watermarking processes. At last, the decrypted features were classified using Gaussian Mixture Model (GMM) classifier. Conversely, MGWO has poor convergence rate and ineffective searching results. Hence, this article proposes an EEHOVSW-CAES-GMM system in which Enhanced Elephant Herding Optimization (EEHO) algorithm is applied instead of MGWO. On the contrary, the computational complexity of GMM classifier is high and its efficiency is less while increasing the number of features. For this reason, a Deep Neural Network (DNN) classifier is employed instead of GMM for recognizing the decrypted features and authorize the speaker’s identity. Besides, the parameters utilized in DNN topology are optimized using two different systems such as MGWOVSW-CAES-DNN and EEHOVSW-CAES-DNN for reducing the computational complexity and increasing the classification accuracy effectively when using more number of features. By using these classifiers, the speaker’s identity is verified and the attacks during the transmission are prevented with the highest security level.
Characterization of Biosurfactant From Pseudomonas Stutzeri SJ3 for Remediation of Crude Oil-Contaminated Soil
Authors: Harikrishnan Sekar , Jayalakshmi Singaram , Alsalhi Mohamad S. , Kartick Alager , Devanesan Sandhanasamy , Rajasekar Aruliah
Published: June 2021

In the present work, production of biosurfactant was studied from the bacterial strains isolated from the soil samples collected from oil contaminated sites in Karaikal ONGC, Puducherry, India. Six morphologically different hydrocarbonoclastic bacterial strains (SJ1-SJ6) isolated on oil agar plates were further screened for biosurfactant production. Based on the screening methods results of 26 mm oil displacement zone, positive results of drop collapse test, 68.14% emulsification index (E24) and 79.2% of bacterial adherence percentage, the isolate SJ3 was selected as the most potent strain and it was identified as P. stutzeri using standard biochemical and 16S rRNA gene sequencing-based methods. Optimization of the P. stutzeri strain showed 36 h incubation, 150 rpm agitation, pH 7.5, 37oC, 1% salinity, 2% glucose as carbon source and 1% yeast extract as nitrogen source were the ideal conditions for growth and the biosurfactant production was found to be growth dependent. The crude biosurfactant showed broad range of antibacterial activity against the bacterial pathogens tested. The P. stutzeri isolated from oil spill site showed biosurfactant with antibacterial activities.
Urban Environmental Legislation and Green Innovation
Authors: Zhang Fan , Han Qinqin , Shao Junjie
Published: June 2021

With the panel data of 218 prefecture-level cities from 2003 to 2017, this paper empirically tested whether urban environmental legislation realized Porter Hypothesis(PH) in China. After a series of model estimation and robustness tests, the results show that urban environmental legislation increased the number of local green patents, which means that the weak Porter Hypothesis was established. However, the urban environmental legislation did not lead to an increase in green total factor productivity(GTFP). In other words, the strong version of PH did not hold. Further analysis shows that urban environmental legislation led to the decline of GTFP and the increase of green patents in the west of China, but not in the east and central cities. Besides, the legislation did not promote GTFP improvement through green innovation in the short term, which means it did not realize process compensation.
Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen
Authors: AlRassas Ayman Mutahar , Thanh Hung Vo , Ren Shaoran , Sun Renyuan , Hai Nam Le Nguyen , Lee Kang-Kun
Published: June 2021

Carbon dioxide (CO2) capture and storage (CCS) is presented as an alternative measure and promising approach to mitigate the large-scale anthropogenic CO2 emission into the atmosphere. In this context, CO2 sequestration into depleted oil reservoirs is a practical approach as it boosts the oil recovery and facilitates the permanent storing of CO2 into the candidate sites. However, the estimation of CO2 storage capacity in subsurfaces is a challenge to kick-start CCS worldwide. Thus, this paper proposes an integrated static and dynamic modeling framework to tackle the challenge of CO2 storage capacity in a clastic reservoir, S1A filed, Masila basin, Yemen. To achieve this work's ultimate goal, the geostatistical modeling was integrated with open-source code (MRST-CO2lab) for reducing the uncertainty assessment of CO2 storage capacity. Also, there is a significant difference between static and dynamic CO2 storage capacity. The static CO2 storage capacity varies from 4.54 to 81.98 million tons, while the dynamic CO2 simulation is estimated from 4.95 to 17.92 million tons. Based on the geological uncertainty assessment of three ranked realizations (P10, P50, P90), our work was found that the upper Qinshn sequence could store 15.64 Million tons without leakage. This result demonstrates that the potential of CO2 utilization is not only in this specific reservoir, but the further CO2 storage for the other clastics reservoirs is promising in the Masila Basin, Yemen.
Socio-ecological Systems Analysis of the Prevention and Control of Dengue in two Districts of Dar es Salaam City, Tanzania
Authors: Mboera Leonard E.G. , Sindato Calvin , Mremi Irene R. , Rumisha Susan F. , George Janeth , Ngolongolo Renfrid , Misinzo Gerald , Karimuribo Esron D. , Rweyemamu Mark M. , Haider Najmul , Hamid Muzamil Abdel , Kock Richard
Published: June 2021

Background: Since 2010, Tanzania has been experiencing frequent outbreaks of dengue. The objective of this study was to carry out a socio-ecological systems analysis and assess the readiness in dengue prevention and control in Kinondoni and Ilala districts of Dar es Salaam City, Tanzania.Methods: Twenty-seven key district officials responsible for human and animal health were involved in a socio-ecological systems framework analysis as regards to dengue. In addition, the readiness of the districts to respond to dengue outbreaks and the performance of the disease surveillance system was assessed.Results: The two districts were characterized by both urban and peri-urban ecosystems, with a mixture of planned and unplanned settlements which support breeding and proliferation of Aedes mosquitoes. The results indicate inadequate levels of readiness in the management and control of dengue outbreaks, in terms of clinical competence, diagnostic capacities, surveillance system and control/prevention measures. Mosquito breeding sites, especially discarded automobile tyres, were reported to be scattered in the districts. Constraining factors in implementing disease surveillance included both intrapersonal and interpersonal factors, lack of case management guidelines, difficult language used in standard case definitions, inadequate laboratory capacity, lack of appropriate rapid response teams, inadequate knowledge on outbreak investigation and inadequate capacities in data management. Conclusion: The two districts had limited readiness in the management and control of dengue, in terms of clinical competence, diagnostic capacities, surveillance system and prevention and control measures. These challenges require the immediate attention by the authorities, as they compromise the effectiveness of the national strategy for community health support.
Deterioration Characteristics and Energy Mechanism of Red-Bed Rocks Subjected to Drying-Wetting Cycles
Authors: Huang Kai , Zha Fusheng , Kang Bo , Sun Xianguo , Li Yunfeng , Su Jingwen
Published: June 2021

The red-bed rocks were chosen and studied by using uniaxial compressive experiment and scanning electron microscopy to investigate the effect of drying-wetting (D-W) cycles on the mechanical properties and microstructural characteristics of red-bed rock. Additionally, the energy mechanism of specimens subjected to drying-wetting cycles was also explained. Experimental results showed that, the stress-strain could be divided into four characteristic stages in the compression failure process. After subjecting to cycles of D-W, the stress-strain curve gradually changed from softening to hardening. At the same time, uniaxial compression strength (UCS) and elastic modulus dropped obviously, while Poisson’s ratio gradually raised. Microstructural analysis results indicated that the microstructure of the specimen surface was no longer dense and uniform, and the porosity of tested specimens significantly increased with D-W cycles increasing. As the porosity grew, UCS and elastic modulus gradually declined. According to the first law of thermodynamics, the process of rock failure was an event of energy transfer and conversion. As the number of D-W cycles increased, the energy density of specimens all present linear fell. From the perspective of the theory of energy dissipation, the dissipated energy was essential for rock failure, and closely related to the strength of the specimen. With D-W cycles increasing, the specimens were more prone to failure, and the dissipated energy required for failure decreased gradually.
Protective Effects of Rheum Turkestanicum Janischagainst Diethylnitrosamine-Induced Hepatocellular Carcinoma in Rats
Authors: Ghorbani Ahmad , Hosseini Azar , Mirzavi Farshad , Hooshmand Sara , Amiri Mohammad Sadegh , Jafarian Amir Hosein , Hasanpour Maedeh , Iranshahi Mehrdad , Soukhtanloo Mohammad , Khalife Ahmad , Rajabian Arezoo
Published: June 2021

Aim of the study Hepatocellular carcinoma (HCC) is common cancer that causes many deaths worldwide. Recent studies have reported anti-cancer effects of R. turkestanicum against various cell lines including leukemia cervical tumor, and breast cancer. In this study, we aimed to identify the effect of R. turkestanicum against diethylnitrosamine (DEN)-induced HCC. Methods Wistar rats were divided into four groups of control, DEN, DEN + 100 mg/kg or 400 mg/kg of hydroethanolic extract of the plant roots. Results After four months, the animals in the DEN group showed HCC foci in the liver, an increase of hepatic lipid peroxidation, attenuation of hepatic antioxidant capacity, an increase of blood liver enzymes (ALT, AST, and ALP), bilirubin, albumin, creatinine, glucose, and reduction of the body weight. The plant extract could decrease the levels of liver enzymes, total bilirubin, direct bilirubin, albumin, urea, and creatinine in the blood. Also, the extract attenuated oxidative stress and improved pathological changes in the liver. Quantitative real-time PCR revealed a decrease in gene expression of Wnt/β-catenin and Akt and an increase in PTEN as the tumor suppressor gene. Conclusion The extract of R. turkestanicum reduced DEN-induced liver changes through inhibiting oxidative stress and attenuating the expression of Wnt/β-catenin and Akt and elevating PTEN expression.
Exploration of the Mutual Effects Between Cation–π and Intramolecular Hydrogen Bond Interactions in the Different Complexes of Mesalazine with Metal Cations of Alkali and Alkaline-Earth: A DFT Study
Authors: Mohammadi Marziyeh , Alirezapour Fahimeh , Khanmohammadi Azadeh
Published: June 2021

In the current research, a comparative study of the interplay effects between cation–π and intramolecular hydrogen bond (IMHB) interactions is performed on the complexes of mesalazine with Li+, Na+, K+, Be2+, Mg2+ and Ca2+ cations using density functional theory (DFT). For this purpose, the mesalazine analogue and the equivalent values of 3-aminobenzoic acid complexes with the cited cations are selected as a set of reference points. In order to understand the mutual effects between these interactions, the descriptors of geometrical, binding energies, topological properties and charge transfer values are examined on complexes using the atoms in molecules (AIM) and natural bond orbital (NBO) analyses. Results indicate that with the exception of Be2+ complex, the coupling simultaneously weakens both of the interactions. Finally, the physical properties such as energy gap, chemical hardness as well as electronic chemical potential of complexes are systematically analyzed by using frontier molecular orbitals.
Associated with Immune Function, miR-150-5p is a Favorable Biomarker for Head and Neck Cancer Patients
Authors: Liu Zhi-Jie , Li-Sheng Li-Sheng , Wang Jing , Peng Li-Xia , Mei Yan , Li Chang-Zhi , Xu Liang , Meng Dong-Fang , Peng Xing-Si , Lang Yan-Hong , Wang Ming-Dian , Xie De-Huan , Guo Ling-Ling , Shu Di-Tian , Ding Liu-Yan , Huang Bi-Jun , Qian Chaonan
Published: June 2021

BackgroundAccumulating evidence has shown that dysregulated expression of microRNAs plays a key role in tumorigenesis. To explore the mechanisms of this we conducted this study.MethodsFive Gene Expression Omnibus datasets (GEO) datasets , GSE32960, GSE36682, GSE43039, GSE70970 and GSE118613 and head and neck squamous cell carcinoma data of The Cancer Genome Atlas (TCGA) were analysis in this study.ResultsBy analyzing the microRNA expression profile of nasopharyngeal carcinoma (NPC) in the five GEO datasets, we identified miR-150-5p as potential biomarker for patient survival. To explore the mechanisms of this, We examined the head and neck squamous cell carcinoma data of TCGA and found that miR-150-5p was correlated with high enrichment of tumor-infiltrating B cells, low enrichment of cancer-associated fibroblasts and down-regulated oncogenic pathways. miR-150-5p may also improve the immune response in the tumor microenvironment. These findings may explain how miR-150-5p improves outcome of head and neck squamous cell carcinoma patients including NPC. Additionally, the exosomal long non-coding RNA AC073130.1 was identified as a potential regulator of miR-150-5p. As miR-150-5p can also be released via exosomes, this study provides insight into the cross-talk of tumor cells and B cells in the tumor microenvironment via exosomal AC073130.1 and miR-150-5p. ConclusionMiR-150-5p improves outcome of head and neck squamous cell carcinoma patients by improving the immune response. There might be a cross-talk of tumor cells and B cells in the tumor microenvironment via exosomal AC073130.1 and miR-150-5p.
Variegated Arecanut (Areca Catechu L.)
Authors: R NAGARAJA N , M Arivalagan , P Chowdappa
Published: June 2021

Variegations in ornamental crops are not uncommon however, reports of variegations in Areca catechu L.-an economically important plantation crop have not been made yet. In the present study we have identified and characterized the palms of Mangala and South Kanara Local populations that showed variegation trait. These variant palms have variegated green and yellow stripes on nuts, leaves, leaf sheath and greener portion of the stem. Besides morphological differences, kernels also showed variations. Significant differences in the physiological and biochemical parameters of these off-types were recorded. Physiological parameters like photosynthetic rate, stomatal conductance, transpiration rate, stomatal resistance and chlorophyll index were recorded from the greener portion of variegated leaves, yellow regions of the variegated leaves and control leaves (wild type leaves). The photosynthetic rate of greener portion of variegated leaves did not differ significantly from the wild type leaves in both Mangala and S.K. Local varieties. But in both the varieties significant differences were observed between greener portion of variegated leaves and wild type leaves with yellow regions of the variegated leaves. Similarly, in both the varieties stomatal conductance of green region of variegated leaves and normal leaves are higher than yellow regions of the variegated leaves, so is the transpiration rate. Greener portion of variegated leaves and the normal leaves showed higher values for transpiration than yellow regions of the variegated leaves in both the varieties. Yellow regions of the variegated leaves showed low transpiration rate in Mangala and S.K. Local varieties. Expectedly, stomatal resistance was low in green region of variegated leaves and normal leaves compared to yellow regions. Yellow regions of the variegated leaves showed very low chlorophyll index compared to green region of variegated leaves and normal leaves in both the varieties. Biochemical constituents like total sugar, total phenolics, non-tannin phenolics and antioxidant potential in terms of reducing power using CUPRAC and FRAP methods were analysed along with moisture content in both immature and ripened arecanut of both normal and variegated types of Mangala and South Kanara Local varieties. The biochemical analysis results indicated wide variation between normal and variegated types for all the biochemical constituents studied. The genetic, biochemical and physiological significance of these variegations are discussed in this paper.