bluuebunny/crossref_metadata_2025_split huggingface dataset:
Los proyectos especiales de inversión pública y el modelo de ejecución de inversiones públicas: revisión de las herramientas que pueden emplearse para mejorar las contrataciones del Estado
Authors: Medina Flores Juan Carlos 
Published: July 2021

En el año 2019 se llevaron a cabo en Lima los XVIII Juegos Panamericanos y Sextos Juegos Parapanamericanos. Este fue el mayor evento deportivo multidisciplinario organizado por el Perú. Este evento fue un gran reto para el Perú, tanto por su complejidad como por el corto tiempo con el que se contaba para su ejecución. Para cumplir sus objetivos, el Proyecto Especial a cargo de la organización de los Juegos empleó diferentes mecanismos de contratación y herramientas de gestión novedosos, dentro del marco de un contrato de Gobierno a Gobierno con el Reino Unido. En este contexto, estas experiencias han sido replicadas en un nuevo Modelo de Ejecución de Inversiones Públicas que puede ser empleado por los Proyectos Especiales de Inversión Pública. Lo que se busca mediante este nuevo esquema es destrabar las inversiones públicas, gestionándolas y ejecutándolas eficientemente, empleando altos estándares internacionales.La regulación de estos Proyectos Especiales de Inversión Pública se ha venido desarrollando progresivamente en el último año, incorporando incluso la posibilidad de celebrar contratos de Gobierno a Gobierno. A la fecha, se encuentra en operación el Proyecto de Inversión Pública, denominado “Escuelas Bicentenario”, que permitirá analizar el funcionamiento de este nuevo Modelo de Ejecución de Inversiones Públicas. Actualmente, en medio de constantes anuncios de modificación de la Ley de Contrataciones del Estado, se ha puesto sobre la mesa la discusión de la oportunidad y pertinencia de implementar varias de las herramientas del Modelo de Ejecución de Inversiones en la normativa de contrataciones del Estado, a efectos de mejorar la ejecución de las obras públicas. En este escenario, es importante conocer estas herramientas comprendidas en el Modelo de Ejecución de Inversiones Públicas como punto de partida para evaluar posibles propuestas de mejora a la normativa de contrataciones del Estado, ya sea para prever nuevas figuras o para mejorar la regulación existente. Para dicho fin, en el presente artículo se reseñan algunas de las principales herramientas del Modelo de Ejecución de Inversiones Públicas, así como los beneficios que estas podrían aportar para la ejecución de las obras públicas.
Variasi Bahasa dalam Media Sosial Twitter
Authors: Afdhaliyah Rizkiyah , Haq Siti Chairunnisa 
Published: July 2021

Language is a communication tool that is usually used by people to work together and interact. Language variation is closely related to language and society. This research on language variations that occur on Twitter social media aims to find out how the meaning of language variations in Twitter social media. There are two languages ​​studied, namely (1) slang whose data is taken from the @Ivanasha, @usaiusulhh, and @aldapstsr accounts, and (2) Javanese whose data is taken from the @nksthi account. This research uses a qualitative approach, with descriptive analysis method. This study collects non-interactively data. The source of the data is humans who work as subjects or key informants. The research is sociolinguistic studies. This study was chosen because this study looks at the use of language that includes language variation.
Development of an authoritative file of subject headings
Authors: Mikheeva S. Yu. 
Published: July 2021

At present, the formation of authoritative files system is an obligatory condition for organizing and managing electronic catalogues of large scientific libraries. SPSTL SB RAS is managing its own authoritative file of subject headings, the work on which began in 2008, and is actual until today.The paper describes the results of creating and managing an authoritative file of subject headings of SPSTL SB RAS in the period of 2011 – 2020: the history of the file creation is mentioned; the importance of linguistic support of the electronic catalogue for conducting information search is marked; the necessity for analyzing the current state of affairs and evaluating the authoritative file quality is pointed out.The analysis is based on the results of implementing the statement of work for creating the authoritative file; the program of step-by-step works is reproduced and the results of accomplishing each stage, the complexity of the tasks are evaluated.The article indicates the need to edit subject headings in accordance with the requirements of the method of objectification; to pair information search languages: library and bibliographic indices of classification and subject headings. It also indicates the problem of filling the authoritative file with new subject headings, reveals the necessity of checking the vocabulary by alphabetical index. The conclusion forms the notion about the current state of the authoritative file, the terms of work on implementing the statement of work. The main problem of completing the creation of an authoritative file of subject headings of SPSTL SB RAS is indicated; ways to solve this problem are suggested.
Scientific libraries: future in the past
Authors: Tsukerblat D. M. , Zaitsev S. V. 
Published: July 2021

The article considers the main problems and challenges facing scientific libraries in the context of the rapid development of information technologies. The article presents the discussion of library specialists who support various positions, the analysis of trends, and possible scenarios for the future existence of scientific libraries.The relations of "letters" and "figures" changing against the background of general digitalization are shown, the possibilities and conditions of their effective interaction are analyzed. The conclusion is made about the expediency of combining the achievements of the past and the future in the knowledge transfer. It reflects the fundamental trends in the needs of users, changes in the services provided and the existing competencies of scientific libraries staff.Attention is drawn to objective and subjective reasons that hinder the innovative development of the library sphere. The information and communication potential and the possibilities of integrating librarians into the process of scientific research are shown on the example of SPSTL SB RAS. The authors have identified and summarized the basic recommendations for optimizing the situation, taking into account the best domestic and foreign experience, with an emphasis on key problems.
Integrasi Nilai Filosofis Tari Topeng Sekura Pada Pembelajaran Sejarah Lokal
Authors: Arif Suparman , Lestari Nur Indah , Sumargono  
Published: July 2021

Abstrak: Penelitian ini bertujuan untuk mengkaji nilai filosofis Tari Topeng Sekura, sehingga nilai tersebut dapat diintegrasikan dalam pembelajaran sejarah di SMA sebagai edukasi pelestarian hutan adat masyarakat Lampung Saibatin. Metode penelitian ini adalah kualitatif deskriptif, yaitu penelitian yang bertujuan untuk menggambarkan realita sosial. Realita sosial yang dipelajari adalah kearifan lokal masyarakat adat Kabupaten Lampung Barat dalam menjaga kelestarian hutan. Kearifan lokal tersebut tercermin dalam Tari Topeng Sekura pada penampilan kostum sekura kamak. Kecerdasan lokal dalam menjaga kelestarian lingkungan tersebut perlu diintegrasikan pada pembelajaran sejarah. Pengintegrasisan nilai filosofis Tari Topeng Sekura dalam pembelajaran sejarah dapat dilakukan dengan berbagai cara diantaranya: pengembangan materi pelajaran yang memasukan unsur kearifan lokal nilai filosofis Tari Topeng Sekura, pengembangkan instrumen evaluasi, dan mendesain proses pembelajaran yang menerapkan model-model pembelajaran yang inovatif yang dapat memasukan unsur nilai filosofis Tari Topeng Sekura. Untuk mendesain pembelajaran yang memasukan nilai filosofis Tari Topeng Sekura dalam pembelajaran sejarah maka guru harus mampu memetakan materi pelajaran yang dapat mengintegrasikan nilai filosofis Tari Topeng Sekura. Kearifan lokal yang dikembangkan dalam pembelajaran sejarah mampu membentuk karakter pelestarian lingkungan hutan bagi peserta didik.
Predicting the Limit Void Ratios of Coarse-Grained Soils Using Artificial Neural Networks
Authors: Erzin Yusuf , Tuskan Yeşim , Erzin Selin 
Published: July 2021

Abstract
In this study, the prediction performance of the artificial neural network (ANN) and multiple regression (MR) models in predicting the limit void ratios of coarse-grained soils was investigated and compared. The data available in the literature were collected and used to construct both two distinct ANN-1 and ANN-2 models and two distinct MR-1 and MR-2 models: ANN-1 and MR-1 for the prediction of minimum void ratio (emin) and ANN-2 and MR-2 for the prediction of maximum void ratio (emax) of coarse-grained soils. Two basic soil graining properties such as coefficient of uniformity (Cu) and mean grain size (D50) are utilized in the simulation of the feed forward ANN models with back propagation algorithm and the MR models.The emax and emin values predicted from both ANN and MR models were compared with the experimental values taken from the literature. Moreover, five performance indices i.e. the determination coefficient, variance account for, mean absolute error, root mean square error, and the scaled percent error were calculated to examine the prediction capacity of the ANN and MR models developed in this study. The performance indices calculated indicated that both ANN models showed better performance than both MR models. It has been demonstrated that both ANN models can be used satisfactorily to predict limit void ratio values of coarse-grained soils as a rapid inexpensive substitute for laboratory techniques.
Evaluation of Intravitreal Bevacizumab injection in treatment of diabetic macular edema in eyes with Good visual acuity
Authors: mosavi seyed aliasghar 
Published: July 2021

Abstract
Aims

To determine the effect of intravitreous Bevacizumab injection on reducing diabetic macular edema in patients with good vision.
Method

: This clinical trial was conducted on diabetic patients with centrally involved macular edema and good vision over a period of one and a half year. 22 eyes of 12 patients with a visual acuity of Snellen equivalent of 20/25 or better in the non-proliferative stage with the central macular thickness of more than 300 microns in optical coherence tomography (OCT) were evaluated. In the injection group 1.25 Mg of bevacizumab (Avastin) was injected intravitreally and the control group was followed up. Macular thickness and visual acuity were measured in two groups at first and sixth months after injection.
Results

Intravitreal bevacizumab was injected in 12 eyes (55%) and 10 patients were followed-up as a control group (45%). The mean central macular thickness was 319 µm at first visit and 301 µm at month six in the treatment group and in the control group it was 318 µm and 328 µm respectively. The mean macular thickness of the treatment group was significantly decreased (p = 0.031), but the difference was not statistically significant between two groups (p = 0.581). The mean visual acuity in the treatment group was 0.045 Log MAR at first visit and 0.033 Log MAR at the sixth month follow up, these values in the control group were 0.1 Log MAR and 0.045 Log MAR respectively and did not differ statistically between the two groups (p = 0.373)
Conclusion

Although the mean macular thickness was reduced in the treatment group with visual acuity of 20/25 or better but the difference was not significant during follow-up at least in a short period. Therefore, the role of underlying factors other than VEGF alone can be notable in the pathogenesis of the disease.
Impact-crater ejecta on Bennu indicate a surface with very low strength
Authors: Perry Mark , Barnouin Olivier , Daly Ronald , Bierhaus Edward , Ballouz Ronald-Louis , Walsh Kevin , Daly Michael , DellaGiustina Daniella , Nolan Michael , Emory Josh , Asad Manar Al , Johnson Catherine , Ernst Carolyn , Jawin Erica , Michel Patrick , Golish Dathon , Bottke William (Bill) , Seabrook Jeffrey , Lauretta Dante 
Published: July 2021

Abstract
A planetary surface’s resistance to change is generally described as its “strength” (units of stress). The surface strength of small, rubble-pile asteroids, which consist of fragments of larger bodies that were collisionally disrupted, is poorly constrained due to their wide departure from terrestrial analogs. Here, we report the observation of an ejecta deposit surrounding an impact crater that limits the maximum surface strength of the near-Earth rubble-pile asteroid (101955) Bennu. The presence of this deposit implies that ejecta were mobilized with velocities less than the escape velocity of Bennu, 20 cm/s. Because ejecta velocities increase with surface strength, the ejecta deposit can only be explained if the effective strength of the surface material near the crater is exceedingly low, ≤100 Pa. This is three orders of magnitude below values commonly used for asteroid surfaces, but is supported by previous observations of an artificial impact crater on a similar asteroid, Ryugu. Our findings indicate a mobile surface that has likely been renewed multiple times since Bennu’s initial assembly and have far-reaching implications for interpreting observations of Bennu and other rubble piles.
Simplified Magnetic Bead Based Viral RNA Extraction for Rapid Detection of COVID-19
Authors: Sharma Shashi , Pardasani Deepak , Yadav Pooja , Kumar Jyoti S , Dhankher Suman , Srivast Ambuj , Sharma Sushil K , Dubey Devendra Kumar , Dash Paban Kumar 
Published: July 2021

Abstract
Rapid and large-scale diagnosis has helped in mitigation the recent ongoing pandemic of corona virus disease of 2019 (COVID-19). The pandemic had a devastating effect on global economy. The molecular detection system has evolved over last two decades and is rapidly replacing the conventional confirmatory techniques in diagnostic virology. However the major limitation in implementation of available molecular detection assays is the non availability of field deployable nucleic acid isolation platform. The standard laboratory diagnosis rely on confirmation of presence of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in respiratory specimens of suspected patients. Preparation of viral nucleic acid is a critical step involved followed by downstream molecular diagnostic platforms. For good quality of viral RNA extraction many commercial extraction kits, are available. These are developed in a surge of pandemic scenario keeping in view the large demand for testing. The commercial RNA extraction kits available on either column based or magnetic extraction are limited and, alternative, non-commercial protocols are rapidly required. Here, we have standardized an in-house magnetic bead RNA extraction method which utilises simple in-house reagents and manual extraction method that doesn’t require any high-end equipments. The in-house assay was evaluated against the commercial available silica column and magnetic extraction kits using a panel of 100 throat /nasal swab samples. A high correlation in viral RNA detection with TaqMan qRT-PCR was observed with excellent sensitivity and specificity. Interestingly, the developed method is very simple, cost effective, rapid and can be quickly add up any downstream amplification platform for SARS-CoV-2 detection.
Symmetric Key and Polynomial Based Key Generation Mechanism for Secured Data Communications in 5G Networks
Authors: Suthanthiramani Pradeep , Sannasy Muthurajkumar , Ganapathy Sannasi , Kannan Arputharaj 
Published: July 2021

Abstract
Fifth Generation (5G) networks provide data communications through various latest technologies including Software Defined Network (SDN), Artificial Intelligence, Machine Learning and Cloud Computing. In 5G, secure data communication is a challenging issue due to the presence of enormous volume of users including malicious users communicating with latest technologies and also based their own requirements. In such a scenario, fuzzy rules and cryptographic techniques can play a major role in providing security to the data which are either communicated through the network or stored in network based databases including distributed databases and cloud databases with cloud networks. Therefore, new and efficient mechanisms for generation and exchange of keys are necessary since they are the most important component of cryptographic methods. Since most of the existing key generation techniques are focusing on 3G and 4G networks, new key generation methods that can be generalized to n-th order polynomials are necessary to suit the security requirements of 5G networks which is smart by using rules from Artificial Intelligence. This paper proposes a new key generation and encryption/decryption mechanism which is based on both symmetric key cryptography and polynomial operations for providing effective security on data communication in 5G networks. In this work, we introduce the usage of fuzzy rules and Binomial Theorem (Pascal triangle) technique for performing the data encryption process more efficiently since it is not used in any of the existing cryptographic algorithms. Moreover, two different polynomial equations, one of degree three and another of degree two are used in the proposed work for effective key generation. Here, we have applied differential calculus for finding the second-degree polynomial. In the decryption part of the proposed mechanism, nth root operation is applied which is able to reduce the number of steps used in a single mode operation. The experimental results of the proposed work proved that the proposed security model with fuzzy rule-based approach is better than other related systems that are available in the literature in terms of reduction in computational complexity and increase in security.
Modeling the Pulse Rate, Respiratory Rate, and Weight of Congestive Heart Failure Patients: A Case Study at Wachemo University Nigist Eleni Mohammed Memorial Referral Hospital
Authors: Sultan Mohammed , Abdo Ritbano Ahmed 
Published: July 2021

Abstract
Background: The linear mixed model is one of the common models used to analyze the longitudinal data; it may comprise of Separate (Univariate), joint Bivariate or joint multivariate linear mixed model, which is predicated on the number of response variables incorporated in the analysis. Adjusting for correlation matrix and covariance matrix between and within subjects is one reason why modern longitudinal data analysis techniques are deemed more appropriate than some of the previous methods of analysis. Some studies assume that the correlation between observations is zero. However, it is unlikely that repeated measurements on the same individual will actually be independent. To that end, comparing the different linear mixed models and identifying the appropriate model demonstrates the evolution of patients with CHF.Methods: In this study the separate, bivariate and multivariate linear mixed models were analyzed with different covariance and correlation structures. The parameters in the models were estimated by maximum likelihood estimation and restricted maximum likelihood estimation techniques. The models were compared by AIC, BIC, and Log-likelihood ratio test. Results: The models with unstructured covariance structure for random effects and autoregressive order one for serial correlation structure had small AIC, BIC and -2LL and standard errors. Separate models had high AIC, BIC and -2LL and standard errors than bivariate and multivariate had small AIC, BIC and -2LL and standard errors than all models. Conclusions: Finally, a multivariate linear mixed model with autoregressive order one correlation structure and unstructured covariance structure for random effects, to consider within and between patients’ variations, was considered as the best model to depict the evolution of patients with congestive heart failure.
Comparative Study on Sensing Characteristics of Optical Surface Plasmon Resonance Sensors Using A Single LHM-Dielectric Interface: A Theoretical Study
Authors: bouhafs benamar , CHERIFI Abdellatif 
Published: July 2021

Abstract
This work addresses a theoretical analysis on optical planar surface plasmon resonance (SPR) sensors. The proposed plasmonic system consists of an active left-handed material (LHM) stacked between a glass-prism and a sensing environment. To evaluate the limits of the surface sensitivity related to SPR excitation, two arrangements between previous media are separately investigated for comparison. Employing the transfer matrix method (TMM), angular TM-reflectance calculations and intrinsic sensing characteristics of previous arrangements, have been investigated with the impact of thicknesses and refractive index (RI) of the media involved. We found the suitable prism material RI, and the preferential arrangement between LHM and sensing environment allowing, thus the increase of the detection sensitivity of SPR excitation. The results of TM-reflectance obtained by varying the sensing environment RI, indicate the ability of the configuration to support an surface plasmon (SP) mode, with a tunable Q-factor from 72 to 748. In addition, distinct optical functionalities achieved with the proposed mono-layer LHM system exhibiting a single SPR mode, and multiple resonant oscillations, are highlighted on both the effects of RI and structure ‘thicknesses. Finally, the relationships between characteristics of TM-reflectance spectra versus the performance parameters are analytically derived.
Feature and Instance Selection Through Discriminant Analysis Criteria
Authors: Dornaika Fadi , Moujahid Abdelmalik 
Published: July 2021

Abstract
Feature selection and instance selection are two data preprocessing methods widely used in data mining and pattern recognition. The main goal is to reduce the computational cost of many learning tasks. Recently, joint feature and instance selection has been approached by solving some global optimization problems using meta-heuristics. This approach is not only computationally expensive, but also does not exploit the fact that the data usually has a structured manifold implicitly hidden in the data and its labels. In this paper, we address joint feature and instance selection using scores derived from discriminant analysis theory. We present three approaches for joint feature and instance selection. The first scheme is a wrapper technique, while the other two schemes are filtering techniques. In the filtering approaches, the search process uses a genetic algorithm where the evaluation criterion is mainly given by the discriminant analysis score. This score depends simultaneously on the feature subset candidate and the best corresponding subset of instances. Thus, the best feature subset and the best instances are determined by finding the best score. The performance of the proposed approaches is quantified and studied using image classification with Nearest Neighbor and Support Vector Machine Classifiers. Experiments are conducted on five public image datasets. We compare the performance of our proposed methods with several state-of-the-art methods. The experiments performed show the superiority of the proposed methods over several baseline methods.