bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wireless electric energy transmission system and its recording system using PZEM004T and NRF24L01 module
Authors: Dwiyanto Tobi Markus , Van Harling Vina N. 
Published: February 2021

<span id="docs-internal-guid-c15e9fd9-7fff-537c-ddf2-1938aca07829"><span>Electrical energy can not be separated from the name kWh Meter, a tool used to measure and record the amount of electrical energy usage has a shortage of kWh meters can not be monitored remotely how much energy is used, so it is rather inconvenient for PLN officials to check the use of electricity for postpaid customers. This research was conducted to design a prototype of a wireless electrical energy transmission system and design a wireless electrical energy recording system using the NRF24L01 wireless transmitter module and the PZEM004T kWh meter module. The design in this study uses the principle of electromagnetic induction to transfer electrical energy at close range, while to transmit data, the authors use the NRF24L01 module. Besides, the authors use the PZEM004T module to measure various magnitudes. Based on the results of observations and measurements of the design of the tool, the authors found that the transmission of electrical energy using electromagnetic induction is not effective for longer distances because the energy lost in the air is getting bigger. So this technology needs to be further investigated. Besides, the measurement of electrical quantities using the PZEM module has a small difference (under 2%) with measurements using a multimeter, so it can be said that the measurement with the PZEM004T module is effective. </span></span>
Fusion for medical image based on discrete wavelet transform coefficient
Authors: Yaseen Hasan Zahraa , Altaie Rusul , Al-kadum Hassan Hawraa Abd 
Published: February 2021

<span id="docs-internal-guid-a16efc88-7fff-5adf-531b-900845049730"><span>More recent digital camera introduced enormous facilities for users from different specifications to take images easily, but the user still wants to improve these images, which it contains different problems like ambiguous and colors is not clear, because not enough light, cloudy weather, bright light, dark region and it's taken from remote distances. This paper aims to use a new approach for fusion images by using a wavelet coefficient based on PSNR and SNR measure (the technical result) instead of using the max, min, average values, and so on in the previous methods. The wavelet coefficient of each sub band is compared between them, the sub band had a value higher of measure is selected for fusion. Firstly, a discrete wavelet transform has been applied to the medical images with 2level. Then, the peak signal to noise ratio and signal to noise ratio measures have been computed for each sub-band. After that PSNR and SNR values have been compared for each sub-band to opposite sub-band and it selected the better value of measures. Secondly, PSNR and SNR values have been gathered for each image. Then select the image that contains value higher PSNR and lower value of SNR for purpose fusion. Finally, perform an inverse discrete wavelet on the fused image to transform it from the frequency to the spatial domain. The results of the work showed that the wavelet coefficient is used to preserve the image details and removed the noise. PSNR value of 1level of dwt is higher than 2level. This paper makes the image more clearer and informative than the original images. </span></span>
Secure image hiding in speech signal by steganography-mining and encryption
Authors: Khaleel Amal Hameed , Abduljaleel Iman Qays 
Published: February 2021

<span>Information hiding techniques are constantly evolving due to the increased need for security and confidentiality. This paper proposes a working mechanism in three phases. The first phase includes scrambling the values of the gray image depending on a series of keys that are generated using a quantum chaotic map. The second phase generates hybrid keys by mixing a Zaslavsky and a 3D Hanon map that are used to encrypt the gray image values produced after the scramble. Finally, in the third phase, a new algorithm is suggested to hide the encrypted gray image at random locations within a speech file. This algorithm includes the LSB algorithm to determine the hidden bits and the zero-crossing K-means algorithm in selecting locations mining in a scattered manner so that hackers cannot easily retrieve the hidden data of any hacked person. Also used a fractional fourier transform to choose magnitude value as specific data to hide encoded image data. The measures MSE, PSNR, NSCR, and UACI are using to measure the work efficiency in the encryption algorithm, and in measuring the efficiency of the hidden algorithm, use the measures SNR, PSNR, and MSE. The results of the paper are encouraging and efficient compared to other algorithms that performed the same work. Hence our results show the larger the image dimensions used, the better the values.</span>
Binding site identification of COVID-19 main protease 3D structure by homology modeling
Authors: Adebiyi Marion , O. Olugbara Oludayo 
Published: February 2021

The influx of coronavirus in 2019 (COVID-19) from Wuhan of China has led to a global pandemic, undesirable hiatus, and recorded millions of infection cases with several deaths worldwide. The strain of COVID-19 has neither known treatments nor vaccines, but recent studies have shown that a few of its enzymes may have been considered as potential drug target. Since its influx, the virus has been well-studied, but a lot is not known about its protease yet. The purpose of this work was to identify the binding site in-silico and present 3D structure of COVID-19 main protease (Mpro) by homology modeling through multiple alignment followed by optimization and validation. The modeling was done by Swiss-Model template library and basic local alignment search tool (BLAST). The obtained homotrimer oligo-state model was verified for reliability using structural validation software such as PROCHECK, Verify3D, MolProbity and QMEAN. The HHBlits software was used to determine the structures that matched the target sequence by evolution. Best template, 6u7h.1.A was used to build a tertiary structure for Mpro with ProMod3 3.0.0 on the Swiss-Model workspace. Self-optimized prediction method with alignment (SOPMA) was applied to compute features of the secondary structure. The verification of quality of COVID-19 structure through Ramachandran plot showed an abundance of 99.3% of amino acid residues in allowed regions while 0.1% in disallowed region. The Verify3D rated the structure a 90.87% PASS of residues having an average 3D-1D score of at least 0.2, which validates a good environment profile for the COVID-19 Mpro model. The features of the secondary structure indicated that the modeled 3D structure of Mpro contains 32.05% α-helix and 37.17% random coil with 25.92 extended strand. DeepSite algorithm elucidates the binding site area that captured local patterns in the structure and exposed the surface cavity of the binding pocket of this protein. The main result of this study suggests that blocking expression of the protein may constitute an efficient approach for transmission blockage. Hence, our thought is that Mpro of COVID-19 may be considered a potential drug target. Nevertheless, more experimental analyses, verification and validation experiments will be required as a targeted drug or vaccine design against COVID-19 virus.
Fast learning neural network based on texture for Arabic calligraphy identification
Authors: Kawther Hussein Ahmed 
Published: February 2021

<span id="docs-internal-guid-5c723154-7fff-a7b2-3582-b7c2920a9921"><span>Arabic calligraphy is considered a sort of Arabic writing art where letters in Arabic can be written in various curvy or segments styles. The efforts of automating the identification of Arabic calligraphy by using artificial intelligence were less comparing with other languages. Hence, this article proposes using four types of features and a single hidden layer neural network for training on Arabic calligraphy and predicting the type of calligraphy that is used. For neural networks, we compared the case of non-connected input and output layers in extreme learning machine ELM and the case of connected input-output layers in FLN. The prediction accuracy of fast learning machine FLN was superior comparing ELM that showed a variation in the obtained accuracy. </span></span>
Towards design strong emergency and COVID-19 authentication scheme in VANET
Authors: Leaby Akeel Kassim , Yassin A. , Hasson Mushtaq , Rashid Abdullah 
Published: February 2021

The wide use of vehicular ad hoc networks (VANETs) in the last decade hasled many researchers to find efficient and reliable methods to obtain the desired benefits and offer services, such as healthcare and traffic management. However, VANETs suffer from security issues represented by authentication and data integrity. In thispaper, we propose a robust mutual authentication scheme based on elliptic curve cryptography (ECC), cryptography hash function, and a pseudonym. The proposed work was twofold in focus: first, on healthcare in emergency cars which use VANETs, and second, on overcoming security issues, such as resisting familiar attacks (e.g. insider attacks and reply attacks). Because of the serious situation generated by the worldwide outbreak of the Covid-19 epidemic, we also found this research valuable in supporting global efforts to combat the rapid spread of this virus, by finding the safest and fastest routes to epidemic treatment centres for medical staff, assistance teams in medical operations, fumigation control, and all work teams associated with disease control. This research attempts to contribute by proposing a special signal used to define epidemic teams. The best route, fast route can be chosen by using VANETs infrastructure. This scheme also deals with metric security features, such as key management, data integrity, and data privacy. In the communication and computation cost, we noticed that our proposed scheme achieved good results compared with the related works.
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models
Authors: Singh Rishabh , Principe Jose C. 
Published: February 2021

AbstractThis letter introduces a new framework for quantifying predictive uncertainty for both data and models that relies on projecting the data into a gaussian reproducing kernel Hilbert space (RKHS) and transforming the data probability density function (PDF) in a way that quantifies the flow of its gradient as a topological potential field (quantified at all points in the sample space). This enables the decomposition of the PDF gradient flow by formulating it as a moment decomposition problem using operators from quantum physics, specifically Schrödinger's formulation. We experimentally show that the higher-order moments systematically cluster the different tail regions of the PDF, thereby providing unprecedented discriminative resolution of data regions having high epistemic uncertainty. In essence, this approach decomposes local realizations of the data PDF in terms of uncertainty moments. We apply this framework as a surrogate tool for predictive uncertainty quantification of point-prediction neural network models, overcoming various limitations of conventional Bayesian-based uncertainty quantification methods. Experimental comparisons with some established methods illustrate performance advantages that our framework exhibits.
Do long-tailed macaques avoid large heterospecific carcasses?
Authors: Peterson Jeffrey V. , Fuentes Agustín 
Published: February 2021

Abstract
This anecdotal observation details the response of long-tailed macaques (Macaca fascicularis) to a heterospecific carcass. The subgroup of macaques we were following abruptly changed their direction of travel upon reaching a tree line while displaying silent vigilance behaviour. We later discovered a dog carcass in the area and concluded their behaviour may have been in response to the smell of that carcass. The carcass was not visible from the response point at the tree line due to its distance from that point (approximately 30 meters) and the uneven and densely vegetated terrain between. The macaques were therefore most likely responding to scent cues from the carcass. We suggest the observed vigilance behaviour is excessive under a strictly pathogen-avoidance explanation and may be understood as a response to a cue of potential predation risk. We review alternative explanations and suggest future research on nonhuman primate heterospecific carcass avoidance is necessary to fully assess the potential relation to perceived risk of predation.
Organic amendments with and without a synthetic nematicide for the management of Heterodera avenae in wheat
Authors: Yadav Saroj , Kanwar Rambir S. , Patil Jaydeep A. 
Published: February 2021

Summary
This experiment was conducted in the screenhouse of the Department of Nematology, CCS Haryana Agricultural University, Hisar, India, in 2015-2016 and 2016-2017 during the Rabi (winter) season to evaluated organic amendments with and without nematicide for the management of the cereal cyst nematode, Heterodera avenae, in wheat. Organic amendments – castor cake, neem cake, vermi compost and farmyard manure (FYM), individually or with Carbofuran 3G (25 mg pot−1) – were applied in pots 10 days before sowing. All organic amendments significantly reduced the nematode population compared to the inoculated control in both years. The higher doses of the amendments were better at controlling H. avenae than the lower dose. Among the organic amendments, neem cake significantly reduced nematode reproduction compared to other amendments. Significantly fewer cysts, 75 (kg soil)−1, were found in treatment with neem cake at 20 g (kg soil)−1 combined with nematicide. The greatest plant growth parameters were observed under castor cake at 20 g (kg soil)−1 in combination with nematicide. Combined applications of organic amendments with the synthetic nematicide were better than without nematicide.
Responsible Veto Restraint: a Transitional Cosmopolitan Reform Measure for the Responsibility to Protect
Authors: Illingworth Richard 
Published: February 2021

Abstract
This article examines reform to the ‘veto’ power held by the five permanent members of the United Nations Security Council. The responsibility to react to mass atrocity crimes under the Responsibility to Protect (R2P) lies predominantly in the hands of the Security Council, meaning that R2P and the veto are inseparable. Veto use can obstruct the Council from meeting its R2P, reflected by the ongoing crisis in Syria, over which 16 Council draft resolutions have been vetoed to date. This article applies a transitional cosmopolitan framework to offer an informal ‘Responsible Veto Restraint’ (rvr) recommendation for veto reform. This measure provides a more effective and feasible avenue for veto reform than the recommendations of the Accountability, Coherency, and Transparency Group’s Code of Conduct and the France-Mexico Joint initiative for veto restraint. rvr can help promote R2P action through the Security Council, offering an avenue for progress towards addressing the problem of atrocity crimes.
Assessing Indonesia’s Capacity for Preventing Mass Atrocities
Authors: Nurhayati Ririn Tri 
Published: February 2021

Abstract
With the pervasive violations of human rights, including mass atrocities, which happened during the authoritarian New Order administration, the literature on human rights in Indonesia has often been highly critical of the regimes’ human rights record. Indonesia’s regime change in 1998 brought in a more optimistic outlook; successive regimes have shown a stronger commitment to respecting human rights. However, the government still faces challenges in protecting such rights, and in acknowledgement and resolving past gross human rights violations. Consequently, future mass atrocities may not be readily avoided. This study aims to explore Indonesia’s capacity for avoiding future atrocities by evaluating three relevant factors: the influence of the interest-based arguments of the central government elites, the extent to which the idea of ‘sovereignty as responsibility’ has spread among Indonesian governmental institutions, and the role of non-state actors. All of these factors shape Indonesia’s capacity to respond to and prevent any occurrence of mass atrocities in the future.
Excluded from Political Task: NGO s’ Marginalized Participation in China’s Accurate Poverty Alleviation Project
Authors: Yang Zheng , Zheng Hanxing , Tu Wenyan , Chen Yuzhuo 
Published: February 2021

Abstract
The importance of NGO s’ participation in poverty alleviation has not only been well documented by extensive studies but also confirmed by rich experience both at the international and national levels. In China, the government officially opened its resources to NGO s in combating poverty in 2005, and NGO s are expected to work as important participants in China’s accurate poverty alleviation project, which is the largest anti-poverty campaign launched by the central government since the foundation of PRC. However, empirical data in the paper shows that NGO s’ participation in this ambitious project is at best very limited. Drawing from more than 30 interviews and some other sources of data, this paper argues that it is the nature of poverty alleviation in China, which can be defined as political task, that should account for the NGO’s limited participation. To be more specific, the excessive workload assumed by the local government deprives officials’ motivation to cooperate with NGO s, excluding NGO s out of the poverty alleviation project is also a rational behavior that can avoid risks for officials. Moreover, the over-supplied financial resource also makes the participation of NGO s unnecessary. This research adds more insights to the study on NGO s in China by arguing that the state-society interaction in China is still asymmetrical.
Keeping ‘Development’ in a Multilateral Framework on Investment Facilitation for Development
Authors: Gabor Evan 
Published: February 2021

Abstract
In December 2019, World Trade Organization (WTO) Members agreed that the Structured Discussions on Investment Facilitation for Development would move into a negotiating mode, previously set to begin in March 2020. Their goal is to have a concrete outcome by the WTO’s 2021 Ministerial Conference. These negotiations are an important step towards creating a multilateral framework on a specific, technical area of foreign investment – investment facilitation. This paper seeks to do two things: (1) to provide a comprehensive analysis of a potential framework by chronicling the genesis of the idea for such a framework and the discussions, discussing competing views on an investment facilitation framework and outlining the principal elements a framework; and (2) to argue that a framework should include provisions focused on facilitating sustainable investment for sustainable development. To that end, it advances suggestions for promoting sustainable investment and introduces a provision, the Recognized Sustainable Investor, that could be included in the framework to incentivize international investors to invest sustainably.
From Ignorant to Inspired: Moses in Gnostic Literature
Authors: Calaway Jared C. 
Published: February 2021

Abstract
One expects that ancient Gnostic sources would be hostile towards Moses as the ignorant prophet of the deficient demiurge. While some ancient Gnostic sources uphold this perspective, others indicate greater ambivalence, as they both rely upon and resist Moses’s authority. Other sources cite Moses positively and present him as a prophet of true, spiritual realities, even to the point of portraying Moses as a proto-Gnostic. This variety of attitudes, moreover, follows exegetical patterns stemming from New Testament writings, especially Matthew, and social patterns, providing an index to how Gnostics viewed themselves vis-à-vis other Christians and other Christian Gnostics.
Comparison of the Prediction of Indian Monsoon Low Pressure Systems by Subseasonal-to-Seasonal Prediction Models
Authors: Deoras Akshay , Hunt Kieran M. R. , Turner Andrew G. 
Published: February 2021

AbstractThis study analyzes the prediction of Indian monsoon low pressure systems (LPSs) on an extended time scale of 15 days by models of the Subseasonal-to-Seasonal (S2S) prediction project. Using a feature-tracking algorithm, LPSs are identified in 11 S2S models during a common reforecast period of June–September 1999–2010, and then compared with 290 and 281 LPSs tracked in ERA-Interim and MERRA-2 reanalysis datasets. The results show that all S2S models underestimate the frequency of LPSs. They are able to represent transits, genesis, and lysis of LPSs; however, large biases are observed in the Australian Bureau of Meteorology, China Meteorological Administration (CMA), and Hydrometeorological Centre of Russia (HMCR) models. The CMA model exhibits large LPS track position error and the intensity of LPSs is overestimated (underestimated) by most models when verified against ERA-Interim (MERRA-2). The European Centre for Medium-Range Weather Forecasts and Met Office models have the best ensemble spread–error relationship for the track position and intensity, whereas the HMCR model has the worst. Most S2S models are underdispersive—more so for the intensity than the position. We find the influence of errors in the LPS simulation on the pattern of total precipitation biases in all S2S models. In most models, precipitation biases increase with forecast lead time over most of the monsoon core zone. These results demonstrate the potential for S2S models at simulating LPSs, thereby giving the possibility of improved disaster preparedness and water resources planning.
The Anatomical and Clinical Significance of the Superior Laryngeal Nerve
Authors: Lu Kai‐ning , Ding Jin‐wang , Zhang Yu , Shi Jing‐jing , Zhou Li , Peng You , Shen Jie , Lu Si , Sun Si‐han , Ni Ye‐qin , Cui Huai‐rui , Luo Ding‐cun 
Published: February 2021

ObjectiveThis study summarizes the anatomical features of the superior laryngeal nerve in Chinese to enable the rapid location of the superior laryngeal nerve during an operation.Study DesignRetrospective analysis of anatomical data.SettingHangzhou First People’s Hospital Affiliated to Nanjing Medical University.MethodsA total of 71 embalmed human cadavers (132 heminecks) were examined over 3 months. The length and diameter of the internal and external branches of the superior laryngeal nerve and their relationships with different landmarks were recorded.ResultsThe total length of the internal branch of the superior laryngeal nerve was 23.4 ± 6.9 mm. The length of the external branch of the superior laryngeal nerve was 47.7 ± 11.0 mm. Considering the midpoint of the lower edge of the thyroid cartilage as the starting point and using that edge as a horizontal line, when the entry point is above that line, the external branch of the superior laryngeal nerve can be found within 41.1 mm and at an angle of 57.2°. When the entry point is below the lower edge of the thyroid cartilage, the external branch of the superior laryngeal nerve can be found within 34.0 mm and at an angle of 36.5°.ConclusionThe superior laryngeal nerve in Chinese people has distinct anatomical characteristics. This article provides a new method of quickly locating the external branch of the superior laryngeal nerve during the operation, which can reduce the probability of damaging the external branch of the superior laryngeal nerve.