bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precipitation isotope time series predictions from machine learning applied in Europe
Authors: Nelson Daniel B. , Basler David , Kahmen Ansgar 
Published: June 2021

Significance
Oxygen and hydrogen isotope distributions in rain and snow are chemical tracers that carry information about sources and history of precipitation. This information is useful for many applications in environmental and biological sciences, but measured values are often not available for a desired time and location. We developed a user-friendly model using machine learning that generates monthly time series of precipitation isotope values using a large compilation of readily available and routinely updated climate data. This allows monthly precipitation isotope records to be produced that span the entire duration of the available instrumental climate record. In addition to being easy to use and update, the prediction errors from direct comparison with measurements are substantially better than those of other available models.
Out-group animosity drives engagement on social media
Authors: Rathje Steve , Van Bavel Jay J. , van der Linden Sander 
Published: June 2021

Significance
Almost four billion people around the world now use social media platforms such as Facebook and Twitter, and social media is one of the primary ways people access news or receive communications from politicians. However, social media may be creating perverse incentives for divisive content because this content is particularly likely to go “viral.” We report evidence that posts about political opponents are substantially more likely to be shared on social media and that this out-group effect is much stronger than other established predictors of social media sharing, such as emotional language. These findings contribute to scholarly debates about the role of social media in political polarization and can inform solutions for creating healthier social media environments.
GRINS: Genetic elements that recode assembly-line polyketide synthases and accelerate their diversification
Authors: Nivina Aleksandra , Herrera Paredes Sur , Fraser Hunter B. , Khosla Chaitan 
Published: June 2021

Significance
Assembly-line polyketide synthases (PKSs) make many medicinally significant natural products. A better understanding of evolutionary mechanisms underlying polyketide diversification could open new avenues for PKS engineering and drug discovery. In the course of interrogating the role of gene conversion in assembly-line PKS evolution, we discovered not only that gene conversion is widespread in these PKSs but also that it is frequently associated with the presence of a genetic element, which we have designated GRINS (genetic repeats of intense nucleotide skew). Computational analysis suggests that the presence of GRINS may promote late-stage structural diversification of polyketide antibiotics. Our work sets the stage for further investigation of the underlying molecular mechanisms and evolutionary roles of these genetic elements.
Perception of invisible masked objects in early infancy
Authors: Nakashima Yusuke , Kanazawa So , Yamaguchi Masami K. 
Published: June 2021

Significance
Recent studies in neuroscience suggest that visual perception is not processed by the purely feed-forward system but by the interaction of forward, horizontal, and feedback processing called recurrent loops. The present study examined the development of recurrent processing using visual backward masking, a perceptual phenomenon in which a visual stimulus is rendered invisible by a mask that follows the stimulus, possibly because of the disruption of recurrent processing. We showed that backward masking is ineffective for infants under 7 mo of age and that they can perceive masked objects that older infants cannot see because of masking. These results suggest that recurrent processing is immature in early infancy and that the mechanisms of visual perception drastically change around this age.
Almost additive multifractal analysis for flows
*
Authors: Barreira Luis , Holanda Carllos 
Published: June 2021

Abstract
Building on the construction of equilibrium measures, we establish a conditional variational principle for the multifractal spectra of an almost additive family with respect to a continuous flow Φ such that the entropy map μ ↦ h

μ
(Φ) is upper-semicontinuous. We also show that the spectrum is continuous and that in the case of hyperbolic flows the corresponding irregular sets have full topological entropy. More generally, we consider the spectrum for the u-dimension and obtain corresponding results.
The Mg ii absorption line systems in quasar spectra from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope
Authors: Chen Zhi-Fu , Qin Huan-Chang , Gao Yan-Chun , Gui Run-Jin , Chen Zhe-Geng , Pang Ting-Ting 
Published: June 2021

Abstract
Making use of quasar spectra from LAMOST, in the spectral data around the Mg ii emission lines, research described in this paper has detected 217 Mg ii narrow absorption lines (NALs) with

W
r

λ
2796

≥
3

σ
w

and

W
r

λ
2803

≥
2

σ
w

in a redshift range of 0.4554 ≤ z
abs ≤ 2.1110. For quasars observed by both LAMOST and SDSS, we find that 135 Mg ii NALs were obviously observed in the LAMOST spectra, 347 Mg ii NALs were were apparent in the SDSS spectra, and 132 Mg ii NALs were clearly present in both the SDSS and LAMOST spectra. The missed Mg ii NALs are likely ascribed to low signal-to-noise ratios of corresponding spectra. Among the Mg ii NALs obviously observed in SDSS or LAMOST spectra, eight Mg ii NALs were significantly changed with

|
Δ

W
r

λ
2796

|
≥
3

σ
w

in time intervals of Δ MJD/(1 + z
em) = 359 – 2819 d.
Expert System in Periodontal Diseases Diagnosis Using the Certainty Factor Method
Authors: Handrizal  , Zamzami Elviawaty Muisa , Arif Maulana 
Published: June 2021

Abstract
Dental and oral health is sometimes not a priority for some people, even though dental and oral diseases have a serious impact on health in general, because teeth and mouth are a place for germs and bacteria to enter, so they are likely to interfere with the health of other body organs. Periodontal disease is a gum disease caused by bacteria that damage the tissue supporting the teeth and cause tooth loss. Periodontal disease is divided into 2, namely gingivitis and periodontitis. An expert system is a system that tries to implement human knowledge on a computer so that computers can solve problems as experts do. The certainty factor method is used for calculations because the certainty factor method can solve the uncertainty of a problem by measuring a person’s belief. The result of this research is an expert system that can produce the name of periodontal disease and the level of certainty for the user’s disease. This application has 100% accuracy based on test results on 20 medical record data, it is obtained that the 20 data match with the results of the system diagnosis.
Augmented Reality Peripheral Performance: Light Intensity, Distance, Occlusion and Marker Testing
Authors: Budiman E , Firdaus M B , Hairah U 
Published: June 2021

Abstract
Augmented Reality peripherals (ARP) that use marker detection objects have developed rapidly and are implemented in various forms to support the activities of everyday human life. The challenge that is currently being faced is the increasingly widespread application of ARP technology to the reliability of software product performance in detecting objects. This research has developed and implemented ARP in the academic space. The application development method uses the Multimedia Development Life Cycle (MDLC) approach, developed based on the Android operating system, using the Unity 3D Engine and Vuforia SDK. 3D object modelling with Sweet Home 3D. Whereas for testing the reliability of ARP performance in object detection using testing of light intensity, distance, occlusion and marker with each scenario. The research produces augmented reality technology products that are able to offer visualization in the form of interactive 2D and 3D objects in academic rooms that provide information to users about the peripheral layout and division of academic spatial layouts and the good reliability performance.
Web-Based Application Design based on Usability Attributes for Sport Reservation Places: FUTSALKUY Apps
Authors: Fauzi R , Lubis M , Sutoyo E 
Published: June 2021

Abstract
Along with the growing world of information technology, website application become extremely popular as medium and channel that offers variety of ways in presenting information. It offers high interoperability and accessibility, which provide ease of use and learn despite different of user demographic. Therefore, the web development often faces several problems such as requirement are unclear and less defined, frequent changes in each phase, hard to launch due to budget or time, not ready to scale incomplete input validation and so on. Thus, this study utilize design thinking in the pre-development to offer complementary approach to the problem-solving through encouraging active participation from users and iterative cycle of phases.
Analysis of Combination Algorithm Data Encryption Standard (DES) and Blum-Blum-Shub (BBS)
Authors: Laia O , Zamzami E M , Sutarman  
Published: June 2021

Abstract
Data Encryption Standard (DES) has a weakness in the key that is vulnerable to security threats, but it is quite popular to use because of the fast encryption and decryption process. Combining the DES algorithm with the Pseudo-random number generator Blum-Blum-Shub (BBS) in generating external keys in the encryption and decryption process of messages, produces a unique key and a good level of security. The longer the selected key and seed, the higher the security level of the DES encryption and decryption key. The use of BBS as an external key generator in the DES algorithm does not significantly affect the encryption (key and seed generated is around 0,001 – 0,003 seconds for the 2 – 4 digits experiment) processing time, meanwhile, the time in the decryption process has no effect because the BBS key and seed are no longer subject to feasibility testing or number requirements. The combination of DES and BBS algorithms can increase security in terms of encryption and decryption keys because the random number of DES keys generated by the BBS algorithm is unique and does not burden the user in determining the keys used in the DES algorithm because the keys are generated from the programming language.
Optimization and Computing Model of Fish Resource Supply Chain Distribution Network
Authors: Nurdin  , Zarlis M , Tulus  , Efendi S 
Published: June 2021

AbstractAceh is a province that is rich in fishery resource potential. Fish resources become one of the leading commodities, therefore we need a supply chain optimization model. Optimization is one of the technologies widely used in supply chain network management. Fish resource supply chain becomes very important because it is caused by several factors, including the diversity of types of products from fish resources and their short expiry. The steps used in this research is literature review, determine parameters and decision variables, formulate the objective function and constraint function, modeling and model implementation. The purpose of this research is to get an optimization model in planning and managing the fish resource supply chain by using mixed integer linear programming, so that the resulting model can solve problems in the limitations of fish resources in certain areas, can distribute all consumer demand quickly. This new model can minimize transportation costs to suppliers, minimize transportation costs from suppliers to distribution centers and minimize transportation costs from distribution centers to consumers, and minimize product inventory costs to suppliers and to distribution centers.
Securing IoT Network against DDoS Attacks using Multi-agent IDS
Authors: Kerim Bedine 
Published: June 2021

Abstract
The crucial issue of Internet of Things (IoT) is vulnerable towards various kinds of security threats, especially on denial-of-service (DoS) attacks as IoT network consists of millions of devices attached to the network. There are plenty of intrusion detection systems (IDSs) available for IoT networks, however, the accuracy detection yet still a big problem. To address the problem, this paper proposes an ensemble IDS for IoT networks. The proposed IDS uses Multi-agent System (MAS) concept and ensemble the Information Gain feature selection algorithm with J48 classifier algorithm for the proposed IDS. Experimental results show the proposed MAS-J48-IDS provides the best accuracy performance of 99.8% for all selected features compared to IDSs that use Naïve Bayesian (NB) and Random Forest (RF) classifiers. Besides, the use of MAS contributes towards the load balancing among the nodes in the network itself.
Contribution Principal Component Analysis to Optimizing Data by Reducing Product Data on Transaction
Authors: Ginting Dewi Sartika Br , Manik Fuzy Yustika , Purnamasari Fanindia 
Published: June 2021

Abstract
Principal component analysis is to analyze the observation data table into a new data table that has the same correlation. And the aim is to simplify the previously complex observation data so that it is easier to process or analyze. The dataset used is transaction data which is often used by the association method in sales analysis, where the data taken consists of 1397 types of products sold in 1200 transactions. In this data, there are products that have very small sales, which means that the percentage of these products has very little effect on the future process, namely sales analysis with the association method. Therefore the authors try to optimize the data to become ready to use data by reducing products that have a small percentage value that affects research for the dataset. And on this occasion the author uses the main component analysis method to reduce products or form products that can represent the entire dataset without reducing the quality of the data for analysis. From the results of research conducted on transaction data, there was a product decline of 65.21%, where the products totaling 1397 were reduced to 486 products that could represent without reducing their value.
SNPE-SRGAN: Lightweight Generative Adversarial Networks for Single-Image Super-Resolution on Mobile Using SNPE Framework
Authors: Tampubolon Hendrik , Setyoko Aji , Purnamasari Fanindia 
Published: June 2021

Abstract
An image resulting from a low-resolution (LR) camera on the mobile phone has lower quality than a high-resolution(HR) camera on a DSLR. Meanwhile, the HR camera is pricing if compared with the LR camera. How to achieve a single-image quality on LR camera likewise on HR camera becomes essential research in the past years. Addressing this issue can be done by upscaling a single LR image. Recently, the super-resolution generative adversarial network (SRGAN) model is one of the state-of-the-art super-resolution(SR)models employed on single-image SR. However, implementing a deep learning model like SRGAN on a mobile device is challenging in computation power and resources. This study aims to develop a smaller and lower resources model while preserving single-image SR quality on mobile devices. To meet these objectives, we convert, quantize, and compress the SRGAN model on Snapdragon Neural Processing Engine (SNPE) as an example. We then validate the SRGAN on the DIV2K dataset on which improves the model performances. Besides, we conduct experiments on GPU, DSP environment. The experimental result confirmed that SNPE-SRGAN capable of achieves not only HR images’ quality but also low latency by 0.06 second and smaller model by 1.7 Mb size running on DSP. Also, the SRGAN-DLC-Quantized running on GPU has a smaller size by 1.7 Mb and lower latency by 1.151 seconds compared with Non-quantized SRGAN-TensorFlow by 9.1 Mb and 1.608 seconds latency.
Classification of Facial Expression Recognition using Machine Learning Algorithms
Authors: Abinaya D , Priyanka C , Rocky Stefinjain M , Prasanna Venkatesan G.K. D , Kamalraj S. 
Published: June 2021

Abstract
Face is the reflection of brain facial expressions are the discernible consequences of moving a facial muscle. In the perception of human articulations, the facial expression like Sad, Happy, Anger, Disgust, Fear is assumes a fundamental part. The objective of this research focuses on facial expression recognition which related to machine learning and optimization algorithms. Here, we proposed Hybrid Adaptive Kernel based Extreme Learning Machine (HAKELM) algorithm to identify the human facial expression based on certain image processing technique. Thus, the obtained results shown the proposed HAKELM scheme achieved 10% more accuracy, sensitivity and specificity than existing algorithms like Principal Component Analysis (PCA) and Support Vector Machine (SVM).
A Systematic Review on Lumbar Alignment Device’s Mechanism Using Sensor Fusion Technology
Authors: Jerome Christhudass A. , Manimegalai P. , Leo A. , Kumara Pillai K. , Thanga Helina S. 
Published: June 2021

Abstract
Good posture reflects a proper state of mind which let anyone get away with anything but people nowadays, is experiencing loads of work burden that are resulting in a bad posture. In this work the role of sensors in posture corrector devices are reviewed. Multiple techniques with different applications are used to detect, identify, and classify the lower lumbar spine movement. In the review multiple sensors employed in posture correctors are reviewed. Each sensor has a different working principle, its own advantages and disadvantages in this review, each paper had different methods and sensors. They are used in the devices according to their functions to get the exact expected output.
Block Chain for Efficient Indian Health Care System Implementation
Authors: Clement Sudhahar J. , Amudha R. 
Published: June 2021

Abstract
Health care is undergoing a major transformation worldwide due to technological advancements and increase in number of diseases. In the wake of current pandemic Covid ‘19 impact across the Globe, stresses the need to overhaul the Health Management system in a large country like India. A country with two-thirds of population living in rural setting, their access to quality Health System is dubious. In Urban setting also the availability of affordable and accessible health care also left a lot to be of concern. Block Chain Technology integration in all the facets of Health care management can cut costs and dramatically improve accessibility and affordability for all segments of people in India. Suggested Block Chain Modules integration and implementation measures emanating from this study in delivering different medicines and paramedics support aims at rendering efficiency to this strained system. Hence this study acclaims on the key performance metrics on health care system to be integrated with the efficient block chain implementation in India.
A Novel Reversible Carry Look Ahead Adder for Bio-Medical Applications
Authors: Sharmila Devi S , Bhanumathi V 
Published: June 2021

Abstract
Reversible logic is becoming more important in VLSI architecture in order to minimize power dissipation. In computational technologies like digital signal processing, nanotechnology, low-power CMOS, etc., this logic is used. If it comprises an equal count of inputs and an equal count of outputs that provide mapping, it is said to be reversible. This research work shows the realization of a Carry Look ahead Adder (CLA) using Reversible Partial Adder (RPA) and Peres Gate (PG) that achieves speed through parallel carry computations. By comparing the introduced research to previous work, the adder circuit’s output is measured. The simulation results indicate that the proposed reversible CLA achieves better area, power and delay reduction. The adder circuit can be incorporated as a useful feature in the low power design for biomedical devices because it is energy efficient and highly durable.
Early Detection of Diabetic Foot Ulcer
Authors: Sangam V. G. , Hema Priyadarshini S. , Anand Nishita , Prathibha P , Purohit Payal , Nalamitha Reeth 
Published: June 2021

Abstract
A lesion or wound that occurs in the foot due to diabetic complications like Neuropathy and Peripheral Vascular Disease, is known as a diabetic foot ulcer. Diabetic Foot Ulceration (DFU) can cause amputation in up to 85% of the cases. In gait and podiatric research, and orthotic applications to prevent foot ulceration, foot pressure is vital parameter. The disadvantage of traditional systems is, it is tedious and expensive. In this paper, we look in to the early detection of diabetic foot ulcer using a device consisting of a sensor array used to assess various parameters. Plantar pressure, temperature and PPG are the main parameters viewed in this paper.
Variety of structure and changes in the properties of building composites over time
Authors: Korobko O , Urazmanova N , Grynyova I , Dudnik L 
Published: June 2021

Abstract
The potential possibility of increasing the level of mechanical properties of composites on mineral binders remains during the long period. The initial structures hereditarily determine the change of the properties of the finished material in time. It can be assumed that an increase in the structural diversity of concretes should lead to such the organization of a structure that will guarantee the preservation or increase of the level of quality indicators at long terms of hardening (up to 720 days). The conducted researches showed that concrete of long hardening with the structure organized at selective adhesion of a cement matrix to the surface of dense or porous aggregates differed are more resistant to external influences. That is, those concretes, organization of structure which happened under the conditions of diversity of interphase interactions at the level of a macrostructure. This was ensured by the use of aggregates with various condition of a surface. The directed change of a ratios of adhesive-cohesive bonding forces at the surfaces of partition between a cement part and the surface of an aggregates provided structures, which caused increase the compressive strength of concrete by 18% and the module of elasticity by 24% at reducing the water by 29-36% and the open capillary pore volume by 44%. The structure of concrete organized at selective adhesion was the densest in comparison with of concrete of other structures. At the same time, the damage of material by technological cracks and inner surfaces of partition has grown more for concrete, the structure of which was provided by a variety of conditions of interactions between the cement matrix and aggregates. Favourable change of the parameters of these elements, along with the processes of hydration of relict binder grains, causes an improvement in time of indicators of the mechanical and deformative properties of concrete. Thus, structural diversity determines the potential changes of the concrete structure at long-hardening that must be taken into account at designing compositions and technology of the concrete, intended for difficult operating conditions.