bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel Nonsymmetrical 1,4-Dihydropyridines as Inhibitors of Nonsymmetrical MRP-Efflux Pumps for Anticancer Therapy
Authors: Kreutzer David , Ritter Christoph , Hilgeroth Andreas
Published: July 2020

Cancer is a strong global burden with increasing numbers of diseases and ongoing anticancer drug resistance. The number of structurally novel anticancer drugs is strongly limited. They cause high costs for the social health systems. Most critical so-called multidrug resistances (MDR) are caused by transmembrane efflux pumps that transport drugs with various structures out of the cancer cells. Multidrug resistance proteins (MRPs) type 1 and 2 are found overexpressed in various kinds of cancer. There is a strong need for inhibitors of those efflux pumps. We developed novel nonsymmetrical 1,4-dihydropyridines as novel inhibitors of cancer relevant MRP types 1 and 2. The structure-dependent activities of the differently substituted derivatives were evaluated in cellular assays of respective cancer cells and are discussed. Promising candidates were identified. One candidate was demonstrated to resensitize a cisplatin resistant cancer cell line and thus to overcome the anticancer drug resistance.
Renegotiating Relations, Structuring Justice: Institutional Reconciliation with the Saami in the 1990–2020 Reconciliation Processes of the Church of Sweden and the Church of Norway
Authors: West Helga Sofia
Published: July 2020

Social reconciliation has received much attention in Christian churches since the late 1980s. Both the Church of Sweden and the Church of Norway initiated reconciliation processes with the Saami (also “Sami” or “Sámi”), the indigenous people of Northern Europe, at the beginning of the 1990s. As former state churches, they bear the colonial burden of having converted the Saami to Lutheranism. To make amends for their excesses in the missionary field, both Scandinavian churches have aimed at structural changes to include Saaminess in their church identities. In this article, I examine how the Church of Sweden and the Church of Norway understand reconciliation in relation to the Saami in their own church documents using conceptual analysis. I argue that the Church of Sweden treats reconciliation primarily as a secular concept without binding it to the doctrine of reconciliation, making the Church’s agenda theologically weak, whereas the Church of Norway utilizes Christian resources in its comprehensive approach to reconciliation with the Saami. This article shows both the challenges and contributions of the Church of Sweden and the Church of Norway to the hotly debated discussions on truth and reconciliation in the Nordic Saami context.
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review
Authors: Adeli Sarina , Salehi Bahram , Mahdianpari Masoud , Quackenbush Lindi J. , Brisco Brian , Tamiminia Haifa , Shaw Stephen
Published: July 2020

Despite providing vital ecosystem services, wetlands are increasingly threatened across the globe by both anthropogenic activities and natural processes. Synthetic aperture radar (SAR) has emerged as a promising tool for rapid and accurate monitoring of wetland extent and type. By acquiring information on the roughness and moisture content of the surface, SAR offers unique potential for wetland monitoring. However, there are still challenges in applying SAR for mapping complex wetland environments. The backscattering similarity of different wetland classes is one of the challenges. Choosing the appropriate SAR specifications (incidence angle, frequency and polarization), based on the wetland type, is also a subject of debate and should be investigated more thoroughly. The geometric distortion of SAR imagery and loss of coherency are other remaining challenges in applying SAR and its processing techniques for wetland studies. Hence, this study provides a systematic meta-analysis based on compilation and analysis of indexed research studies that used SAR for wetland monitoring. This meta-analysis reviewed 172 papers and documented an upward trend in usage of SAR data, increasing usage of multi-sensor data, increasing integration of C- and L- bands over other configurations and higher classification accuracy with multi-frequency and multi-polarized SAR data. The highest number of wetland research studies using SAR data came from the USA, Canada and China. This meta-analysis highlighted the current challenges and solutions for wetland monitoring using SAR sensors.
Automated Extraction of Visible Floodwater in Dense Urban Areas from RGB Aerial Photos
Authors: Zhang Ying , Crawford Peter
Published: July 2020

Rapid response mapping of floodwater extents in urbanized areas, while essential for early damage assessment and rescue operations, also presents significant image interpretation challenges. Images from visible band (red–green–blue (RGB)) remote sensors are the most common and cost-effective for real-time applications. Based on an understanding of the differing characteristics of turbid floodwater and urban land surface classes, a robust method was developed and automatized to extract visible floodwater using RGB band digital numbers. The methodology was applied to delineate visible floodwater distribution from very high-resolution aerial image data acquired during the 2013 Calgary flood event. The methodology development involved segment- and pixel-based feature analysis, rule development, automated feature extraction, and result validation processing. The accuracies for the visible floodwater class were above 0.8394% and the overall accuracies were above 0.9668% at both pixel and segment levels for three test sites with diverse urban landscapes.
Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
Authors: Poley Lucy G. , Laskin David N. , McDermid Gregory J.
Published: July 2020

Shrub-dominated ecosystems support biodiversity and play an important storage role in the global carbon cycle. However, it is challenging to characterize biophysical properties of low-stature vegetation like shrubs from conventional ground-based or remotely sensed data. We used spectral and structural variables derived from high-resolution unmanned aerial system (UAS) imagery to estimate the aboveground biomass of shrubs in the Betula and Salix genera in a montane meadow in Banff National Park, Canada using an area-based approach. In single-variable linear regression models, visible light (RGB) indices outperformed multispectral or structural data. A linear model based on the red ratio vegetation index (VI) accumulated over shrub area could model biomass (calibration R2 = 0.888; validation R2 = 0.774) nearly as well as the top multivariate linear regression models (calibration R2 = 0.896; validation R2 > 0.750), which combined an accumulated RGB VI with a multispectral metric. The excellent performance of accumulated RGB VIs represents a novel approach to fine-scale vegetation biomass estimation, fusing spectral and spatial information into a single parsimonious metric that rivals the performance of more complex multivariate models. Methods developed in this study will be relevant to researchers interested in estimating fine-scale shrub aboveground biomass within a range of ecosystems.
A Wearable Device Based on a Fiber Bragg Grating Sensor for Low Back Movements Monitoring
Authors: Zaltieri Martina , Massaroni Carlo , Lo Presti Daniela , Bravi Marco , Sabbadini Riccardo , Miccinilli Sandra , Sterzi Silvia , Formica Domenico , Schena Emiliano
Published: July 2020

Low back pain (LBP) is one of the musculoskeletal disorders that most affects workers. Among others, one of the working categories which mainly experiences such disease are video terminal workers. As it causes exploitation of the National Health Service and absenteeism in workplaces, LBP constitutes a relevant socio-economic burden. In such a scenario, a prompt detection of wrong seating postures can be useful to prevent the occurrence of this disorder. To date, many tools capable of monitoring the spinal range of motions (ROMs) are marketed, but most of them are unusable in working environments due to their bulkiness, discomfort and invasiveness. In the last decades, fiber optic sensors have made their mark allowing the creation of light and compact wearable systems. In this study, a novel wearable device embedding a Fiber Bragg Grating sensor for the detection of lumbar flexion-extensions (F/E) in seated subjects is proposed. At first, the manufacturing process of the sensing element was shown together with its mechanical characterization, that shows linear response to strain with a high correlation coefficient (R2 > 0.99) and a sensitivity value (Sε) of 0.20 nm∙mε−1. Then, the capability of the wearable device in measuring F/E in the sagittal body plane was experimentally assessed on a small population of volunteers, using a Motion Capture system (MoCap) as gold standard showing good ability of the system to match the lumbar F/E trend in time. Additionally, the lumbar ROMs were evaluated in terms of intervertebral lumbar distances (Δ d L 3 − L 1 ) and angles, exhibiting moderate to good agreement with the MoCap outputs (the maximum Mean Absolute Error obtained is ~16% in detecting Δ d L 3 − L 1 ). The proposed wearable device is the first attempt for the development of FBG-based wearable systems for workers’ safety monitoring.
Performance Evaluations of LoRa Wireless Communication in Building Environments
Authors: Liang Ruobing , Zhao Liang , Wang Peng
Published: July 2020

The Internet of things presents tremendous opportunities for the energy management and occupant comfort improvement in smart buildings by making data of environmental and equipment parameters more readily and continuously available. Long-range (LoRa) technology provides a comprehensive wireless solution for data acquisition and communication in smart buildings through its superior performance, such as the long-range transmission, low power consumption and strong penetration. Starting with two vital indicators (network transmission delay and packet loss rate), this study explored the coverage and transmission performances of LoRa in buildings in detail. We deployed three LoRa receiver nodes on the same floor and eight LoRa receiver nodes on different floors in a 16-story building, respectively, where data acquisition terminal was located in the center of the whole building. The communication performance of LoRa was evaluated by changing the send power, communication rate, payload length and position of the wireless module. In the current research, the metrics of LoRa were quantified to facilitate its practical application in smart buildings. To the best of our knowledge, this may be the first academic research evaluating RTT performance of LoRa via practical experiments.
Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography
Authors: Sadrawi Muammar , Lin Yin-Tsong , Lin Chien-Hung , Mathunjwa Bhekumuzi , Fan Shou-Zen , Abbod Maysam F. , Shieh Jiann-Shing
Published: July 2020

Hypertension affects a huge number of people around the world. It also has a great contribution to cardiovascular- and renal-related diseases. This study investigates the ability of a deep convolutional autoencoder (DCAE) to generate continuous arterial blood pressure (ABP) by only utilizing photoplethysmography (PPG). A total of 18 patients are utilized. LeNet-5- and U-Net-based DCAEs, respectively abbreviated LDCAE and UDCAE, are compared to the MP60 IntelliVue Patient Monitor, as the gold standard. Moreover, in order to investigate the data generalization, the cross-validation (CV) method is conducted. The results show that the UDCAE provides superior results in producing the systolic blood pressure (SBP) estimation. Meanwhile, the LDCAE gives a slightly better result for the diastolic blood pressure (DBP) prediction. Finally, the genetic algorithm-based optimization deep convolutional autoencoder (GDCAE) is further administered to optimize the ensemble of the CV models. The results reveal that the GDCAE is superior to either the LDCAE or UDCAE. In conclusion, this study exhibits that systolic blood pressure (SBP) and diastolic blood pressure (DBP) can also be accurately achieved by only utilizing a single PPG signal.
Advanced Computation Capacity Modeling for Delay-Constrained Placement of IoT Services
Authors: Németh Balázs , Sonkoly Balázs
Published: July 2020

A vast range of sensors gather data about our environment, industries and homes. The great profit hidden in this data can only be exploited if it is integrated with relevant services for analysis and usage. A core concept of the Internet of Things targets this business opportunity through various applications. The virtualized and software-controlled 5G networks are expected to achieve the scale and dynamicity of communication networks required by Internet of Things (IoT). As the computation and communication infrastructure rapidly evolves, the corresponding substrate models of service placement algorithms lag behind, failing to appropriately describe resource abstraction and dynamic features. Our paper provides an extension to existing IoT service placement algorithms to enable them to keep up with the latest infrastructure evolution, while maintaining their existing attributes, such as end-to-end delay constraints and the cost minimization objective. We complement our recent work on 5G service placement algorithms by theoretical foundation for resource abstraction, elasticity and delay constraint. We propose efficient solutions for the problems of aggregating computation resource capacities and behavior prediction of dynamic Kubernetes infrastructure in a delay-constrained service embedding framework. Our results are supported by mathematical theorems whose proofs are presented in detail.
Hydrogen Sensor: Detecting Far-Field Scattering of Nano-Blocks (Mg, Ag, and Pd)
Authors: Shin Eunso , Lee Young Jin , Nam Hyoungjoo , Kwon Soon-Hong
Published: July 2020

Hydrogen sensor technologies have been rapidly developing. For effective and safe sensing, we proposed a hydrogen sensor composed of magnesium (Mg), silver (Ag), and palladium (Pd) nano-blocks that overcomes the spectral resolution limit. This sensor exploited the properties of Mg and Pd when absorbing hydrogen. Mg became a dielectric material, and the atomic lattice of Pd expanded. These properties led to changes in the plasmonic gap mode between the nano-blocks. Owing to the changing gap mode, the far-field scattering pattern significantly changed with the hydrogen concentration. Thus, sensing the hydrogen concentration was able to be achieved simply by detecting the far-field intensity at a certain angle for incident light with a specific wavelength.
SVM+KF Target Tracking Strategy Using the Signal Strength in Wireless Sensor Networks
Authors: Wang Xing , Liu Xuejun , Wang Ziran , Li Ruichao , Wu Yiguang
Published: July 2020

Target Tracking (TT) is a fundamental application of wireless sensor networks. TT based on received signal strength indication (RSSI) is by far the cheapest and simplest approach, but suffers from a low stability and precision owing to multiple paths, occlusions, and decalibration effects. To address this problem, we propose an innovative TT algorithm, known as the SVM+KF method, which combines the support vector machine (SVM) and an improved Kalman filter (KF). We first use the SVM to obtain an initial estimate of the target’s position based on the RSSI. This enhances the ability of our algorithm to process nonlinear data. We then apply an improved KF to modify this estimated position. Our improved KF adds the threshold value of the innovation update in the traditional KF. This value changes dynamically according to the target speed and network parameters to ensure the stability of the results. Simulations and real experiments in different scenarios demonstrate that our algorithm provides a superior tracking accuracy and stability compared to similar algorithms.
A Novel Method of Measuring Instantaneous Frequency of an Ultrafast Frequency Modulated Continuous-Wave Laser
Authors: Yang Jiewei , Yang Tianxin , Wang Zhaoying , Jia Dongfang , Ge Chunfeng
Published: July 2020

Ultrafast linear frequency modulated continuous-wave (FMCW) lasers are a special category of CW lasers. The linear FMCW laser is the light source for many sensing applications, especially for light detection and ranging (LiDAR). However, systems for the generation of high quality linear FMCW light are limited and diverse in terms of technical approaches and mechanisms. Due to a lack of characterization methods for linear FMCW lasers, it is difficult to compare and judge the generation systems in the same category. We propose a novel scheme for measuring the mapping relationship between instantaneous frequency and time of a FMCW laser based on a modified coherent optical spectrum analyzer (COSA) and digital signal processing (DSP) method. Our method has the potential to measure the instantaneous frequency of a FMCW laser at an unlimited sweep rate. In this paper, we demonstrate how to use this new method to precisely measure a FMCW laser at a large fast sweep rate of 5000 THz/s by both simulation and experiments. We find experimentally that the uncertainty of this method is less than 100 kHz and can be improved further if a frequency feedback servo system is introduced to stabilize the local CW laser.
A Practical Guide for Managing Interdisciplinary Teams: Lessons Learned from Coupled Natural and Human Systems Research
Authors: Henson V. Reilly , Cobourn Kelly M. , Weathers Kathleen C. , Carey Cayelan C. , Farrell Kaitlin J. , Klug Jennifer L. , Sorice Michael G. , Ward Nicole K. , Weng Weizhe
Published: July 2020

Interdisciplinary team science is essential to address complex socio-environmental questions, but it also presents unique challenges. The scientific literature identifies best practices for high-level processes in team science, e.g., leadership and team building, but provides less guidance about practical, day-to-day strategies to support teamwork, e.g., translating jargon across disciplines, sharing and transforming data, and coordinating diverse and geographically distributed researchers. This article offers a case study of an interdisciplinary socio-environmental research project to derive insight to support team science implementation. We evaluate the project’s inner workings using a framework derived from the growing body of literature for team science best practices, and derive insights into how best to apply team science principles to interdisciplinary research. We find that two of the most useful areas for proactive planning and coordinated leadership are data management and co-authorship. By providing guidance for project implementation focused on these areas, we contribute a pragmatic, detail-oriented perspective on team science in an effort to support similar projects.
Pteropine Orthoreovirus in an Angolan Soft-Furred Fruit Bat (Lissonycteris angolensis) in Uganda Dramatically Expands the Global Distribution of an Emerging Bat-Borne Respiratory Virus
Authors: Bennett Andrew J. , Goldberg Tony L.
Published: July 2020

Pteropine orthoreovirus (PRV; Reoviridae: Spinareovirinae) is an emerging bat-borne zoonotic virus that causes influenza-like illness (ILI). PRV has thus far been found only in Australia and Asia, where diverse old-world fruit bats (Pteropodidae) serve as hosts. In this study, we report the discovery of PRV in Africa, in an Angolan soft-furred fruit bat (Lissonycteris angolensis ruwenzorii) from Bundibugyo District, Uganda. Metagenomic characterization of a rectal swab yielded 10 dsRNA genome segments, revealing this virus to cluster within the known diversity of PRV variants detected in bats and humans in Southeast Asia. Phylogeographic analyses revealed a correlation between geographic distance and genetic divergence of PRVs globally, which suggests a geographic continuum of PRV diversity spanning Southeast Asia to sub-Saharan Africa. The discovery of PRV in an African bat dramatically expands the geographic range of this zoonotic virus and warrants further surveillance for PRVs outside of Southeast Asia.
Pathobiology of Respiratory Syncytial Virus (RSV)
Authors: Tripp Ralph A. , McNamara Paul S.
Published: July 2020

Respiratory Syncytial Virus (RSV) is the leading cause of lower respiratory tract illness in infants and affects the elderly and the immune-compromised [...]
A Yellow Fever Virus 17D Infection and Disease Mouse Model Used to Evaluate a Chimeric Binjari-Yellow Fever Virus Vaccine
Authors: Yan Kexin , Vet Laura J. , Tang Bing , Hobson-Peters Jody , Rawle Daniel J. , Le Thuy T. , Larcher Thibaut , Hall Roy A. , Suhrbier Andreas
Published: July 2020

Despite the availability of an effective, live attenuated yellow fever virus (YFV) vaccine (YFV 17D), this flavivirus still causes up to ≈60,000 deaths annually. A number of new approaches are seeking to address vaccine supply issues and improve safety for the immunocompromised vaccine recipients. Herein we describe an adult female IFNAR-/- mouse model of YFV 17D infection and disease that recapitulates many features of infection and disease in humans. We used this model to evaluate a new YFV vaccine that is based on a recently described chimeric Binjari virus (BinJV) vaccine technology. BinJV is an insect-specific flavivirus and the chimeric YFV vaccine (BinJ/YFV-prME) was generated by replacing the prME genes of BinJV with the prME genes of YFV 17D. Such BinJV chimeras retain their ability to replicate to high titers in C6/36 mosquito cells (allowing vaccine production), but are unable to replicate in vertebrate cells. Vaccination with adjuvanted BinJ/YFV-prME induced neutralizing antibodies and protected mice against infection, weight loss and liver pathology after YFV 17D challenge.
Hypoglycemia in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease: A Prospective Observational Study
Authors: Hong Susana , Presswala Lubaina , Harris Yael T. , Romao Isabela , Ross Daniel W. , Andrade Paz Hugo , Zhang Meng , Jhaveri Kenar D. , Sakhiya Vipul , Fishbane Steven
Published: July 2020

Background

Glycemic management in patients with type 2 diabetes mellitus (T2DM) and CKD can become complicated. One factor that may affect treatment is hypoglycemia. Hypoglycemia risk may be increased by several biologic processes in CKD. The objective of this study was to determine the frequency, severity, and risk factors for hypoglycemia in patients with T2DM and CKD.

Methods

The design was a prospective observational study. A continuous glucose monitor (CGM) was worn by 80 patients for up to 14 days; glucose was measured every 15 minutes. Patients with T2DM and eGFR <45 ml/min were enrolled. Patients on dialysis were excluded. The primary outcome was to assess the frequency of hypoglycemic episodes during the study period. Hypoglycemic episodes were defined as a reduced glucose concentration (<70 mg/dl) lasting ≥15 minutes. Secondary outcomes included assessment of severity of hypoglycemia and risk factors for its development.

Results

A total of 80 patients wore the CGM for a mean of 12.7±2.9 days. Hypoglycemic events occurred in 61 of 80 patients (76%) with glucose <70 mg/dl, and 49 of 80 (61%) with glucose <60 mg/dl. Prolonged hypoglycemic events (CGM glucose <54 mg/dl for ≥120 consecutive minutes) occurred in 31 patients (39%) with 118 total events. Most hypoglycemic episodes occurred overnight, from 1:00 am to 9:00 am. By multivariate analysis, lower hemoglobin A1c and treatment with insulin were two modifiable risk factors for hypoglycemic events.

Conclusions

Patients with T2DM and CKD have frequent periods of hypoglycemia that can be severe and prolonged. Hemoglobin A1c does not portray the full scope of hypoglycemia risk. This study illustrates the need for careful monitoring of glucose levels in patients with T2DM and CKD.
Važnost prikupljanja sredstava (fundraising) za djelovanje neprofitnih organizacija. Primjer globalnog pokreta Mary’s Meals
Authors: Radalj Miro
Published: July 2020

Prikupljanje sredstava (fundraising) vrlo je važna aktivnost neprofitnih organizacija jer bez financijskih sredstava teško bismo mogli ostvariti svoju misiju. Planiranje prikupljanja sredstava čest je posao djelatnika za odnose s javnošću u neprofitnim organizacijama.
Za uspješno prikupljanje sredstava neizostavan je jasno definiran razlog za potporu (case for support). Negativan publicitet povezan s troškovima kampanje može imati učinak na napore organizacija u prikupljanju sredstava jer ona najčešće ovise o potpori javnosti. Uobičajena visina troškova kampanje ne bi smjela prelaziti 12 – 15% ukupno prikupljenih sredstava, a troškovi do 20 % postali su gornja prihvatljiva razina. Prikupljanje sredstava mora poštovati etičke standarde, a troškovi se moraju kontrolirati. Brojne nevladine organizacije upravo su na etičkim standardima izgubile reputaciju, nestale sa scene i nanijele štetu cijelomu neprofitnom i humanitarnom sektoru. Jedan od najupečatljivijih primjera dobra prikupljanja i učinkovita korištenja prikupljenih sredstava međunarodna je humanitarna organizacija Mary’s Meals (Marijini obroci).
UNKNOWN REVIEW BY ALEKSANDR NIKITENKO OF THE COMEDY THE FOREST BY ALEXANDER OSTROVSKY IN THE RECEPTIVE HISTORY OF THE PLAY
Authors: Zubkov Kirill Yu. , Tikhomirov Vladimir V.
Published: July 2020

For the fi rst time, we publish an unknown review written by Aleksandr Nikitenko, a member of Imperial Academy of Sciences, of the comedy by Alexander Ostrovsky «The Forest». This review was compiled on behalf of the commission that distributed Aleksey Uvarov’s awards for the playwrights after Alexander Ostrovsky submitted his play to the competition. Review by Aleksandr Nikitenko was read at a meeting of the commission; its copy has been discovered in his personal archive. Alexander Ostrovsky participated in the competition for Aleksey Uvarov’s award for more than 15 years, but he achieved
success only twice: with his «The Storm» in 1860 and with the drama «Sin and Sorrow Are Common to All» in 1863. Aleksandr Nikitenko, himself a member of the academic commission, for several years was reviewing all the works that competed for the
prize, and almost always gave negative conclusions about them. He reacted sharply negatively to «The Forest» as well. In the article, Aleksandr Nikitenko’s review is considered in the context of literary, critical and theatrical criticism of the comedy by
Alexander Ostrovsky, which were released shortly after its publication and production. The publication was prepared on the basis of archival documents found in St. Petersburg department of the Archive of the Russian Academy of Sciences and the
Manuscript Department of the Institute of Russian Literature of the Russian Academy of Sciences
PRODUCCIÓN DE PIMIENTO MORRÓN CON MALLAS SOMBRA DE COLORES
Authors: Ayala-Tafoya Felipe , Sánchez-Madrid Rubén , Partida-Ruvalcaba Leopoldo , Yáñez-Juárez M. Gilberto , Ruiz-Espinosa F. Higinio , Velázquez Alcaraz Teresa de Jesús , Valenzuela-López Marino , Parra-Delgado J. Martín
Published: July 2020

El uso de la malla sombra de color negro es una estrategia utilizada para proteger a las plantas de la radiación solar directa, reducir la temperatura y evitar la quemadura por sol en frutos de pimiento morrón (Capsicum annuum L.). En la última década han surgido en el mercado mallas de colores que debido a sus propiedades fotométricas mejoran el aprovechamiento de la radiación solar en los cultivos protegidos. En este trabajo se evaluó la influencia de cinco mallas sombra sobre la transmisión de radiación fotosintéticamente activa (RFA), la temperatura y la humedad relativa del aire, el crecimiento de plantas y el rendimiento de fruto. Se utilizaron mallas de polietileno con 50 % de sombra en colores verde, rojo, beige y azul, más una negra como testigo positivo y un testigo negativo sin malla. Las mallas de colores transmitieron de 55.3 a 58.3 % de la RFA, mientras que la malla negra trasmitió 51.9 %. Aunque la reducción de radiación ocasionada por las mallas no influyó significativamente en la temperatura, la humedad relativa fue incrementada de 9.1 % (negra) a 21.0 % (beige). Las mallas verde y roja propiciaron los mayores incrementos en la altura y el área foliar de las plantas. Los rendimientos con calidad de exportación obtenidos con las mallas superaron desde 52.5 % (negra) hasta 132.8 % (beige) a las 20.4 t ha-1 cosechadas en el testigo sin malla. En este último la producción de frutos que no alcanzaron la calidad comercial fue estadísticamente mayor que en plantas protegidas con malla.
MODELACIÓN DE LA INTERACCIÓN GENOTIPO X AMBIENTE EN RENDIMIENTO DE HÍBRIDOS DE MAÍZ BLANCO EN AMBIENTES MÚLTIPLES
Authors: Lozano-Ramírez Águeda , Santacruz-Varela Amalio , San-Vicente-García Félix , Crossa José , Burgueño Juan , Molina-Galán José D.
Published: July 2020

Los programas de fitomejoramiento enfocados a la obtención de genotipos con mayor rendimiento y estables en una amplia gama de condiciones ambientales enfrentan factores ambientales que enmascaran el potencial de los genotipos. La interacción genotipo × ambiente (G × A) puede hacer que esta predicción no sea precisa. El objetivo de este estudio fue modelar la interacción G × A mediante distintos modelos estadísticos, en un grupo de híbridos de maíz (Zea mays L.) en ambientes de clima tropical. Se evaluaron 29 híbridos de endospermo blanco en 15 ambientes de América tropical, con un diseño alfa-látice. La variable rendimiento se analizó primero con un análisis combinado de varianza. Posteriormente se aplicaron los métodos de efectos principales aditivos e interacción (AMMI) y de regresión en los sitios (SREG) con el modelo de factores analítico (FA), para estudiar la interacción G × A y definir ambientes que discriminen mejor a los genotipos, y que permitan el agrupamiento de ambiente y genotipos. El análisis AMMI señaló a una localidad de Guatemala, una de México y una de Nicaragua como las de mayor interacción, identificó cuatro mega-ambientes, y definió al híbrido más estable y con buen rendimiento. El método SREG FA resultó un buen predictor porque permitió identificar cuatro subgrupos y agrupó ambientes de diferentes países con características semejantes.
Ética en la educación superior en el contexto venezolano para la sostenibilidad organizacional
Authors: Salvatierra Iriarte Marlin Lilian Coromoto
Published: July 2020

Los procesos de enseñanza y aprendizaje se centran fundamentalmente en la transmisión de conocimientos utilizando mecanismos de comunicación, en los estudios superiores, técnicos y profesionales se prepara al individuo para el trabajo, para el ejercicio de una profesión, con un conjunto de conocimientos, habilidades y destrezas necesarios para la ejecución de determinadas funciones en un puesto de trabajo, que coadyuvan al logro de los objetivos organizacionales. En el marco de la Agenda 2030 de las Naciones Unidas para el desarrollo sostenible, la cual establece una visión transformadora hacia la sostenibilidad económica, social y ambiental para que los Estados, sus instituciones, empresas y personas promuevan el desarrollo sostenible de sus procesos dentro de la sociedad. Resulta necesario discernir respecto a los elementos éticos que pueden incorporarse en la educación universitaria para garantizar que los trabajadores también colaboren en la sostenibilidad de la organización. Para el desarrollo de la presente ponencia, bajo un enfoque documental, persigue como objetivo describir los elementos éticos necesarios para garantizar la sostenibilidad organizacional, para ello se identificaran elementos conceptuales de la ética y la sostenibilidad en las empresas entendiendo por Ética según Guevara, E (2007) “como la que se ocupa de definir lo que debe ser una conducta correcta, aspecto que se torna crítico cuando se trata de servicios y servidores públicos y en situaciones donde se manejan grandes montos de dinero”… “La ética se desarrolla, evoluciona con la evolución moral del individuo, al igual que el desarrollo profesional; ambos, desarrollo moral y desarrollo profesional, constituyen el sistema ético que utiliza el individuo en la toma de sus decisiones para resolver problemas. Sólo la cabal comprensión de ambos aspectos ayudará a conformar un sistema con los mejores valores”.
Comunicación 360 e instituciones museísticas: caso de estudio “el paseo del arte” en Madrid
Authors: Fernández Hernández Ruth
Published: July 2020

El desarrollo de las nuevas tecnologías de la comunicación y la información (TIC), ha transformado la forma de comunicarse en las sociedades actuales pasando de ser una comunicación unidireccional a bidireccional. Esto ha provocado que las organizaciones empresariales hayan tenido que adaptar su comunicación tanto en los procesos internos como en los externos. Las instituciones museísticas no han sido una excepción, su proceso de adaptación ha resultado fundamental para relacionarse con sus públicos y abrirse a un nuevo consumidor, que genera y comparte información, además de opinar y con ello influir en otros consumidores. Ante la necesidad de ofrecer una comunicación diferente, actualizada y en cierta manera nueva, los museos han incorporado las nuevas tecnologías en la estrategia comunicativa. Para analizar este paradigma en la gestión de la comunicación, y como reflejo de una nueva concepción de la misión de los museos, se ha realizado la presente investigación mediante una revisión de la literatura sobre las nuevas tecnologías empleadas en la comunicación de los museos y una investigación exploratoria, de los recursos digitales que están utilizando los principales museos de Madrid, que forman el “Paseo del Arte”, por tratarse de espacios muy visitados y el principal recurso turístico de la ciudad (Vacas, 2005).
Development of Anti-theft Steering Wheel lock Embedded with Fingerprint System
Authors:   Malaysian Spanish Institute Universiti Kuala Lumpur, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Othman Norzalina bt , Wan Nurul Na’imy ,   Head of Technical Foundation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Alwi Nik Nur Alyani Mohd ,   Student, Bachelor of Engineering (Hons), Mechatronics (Automotive), Malaysian Spanish Institute Universiti Kuala Lumpur, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Krishnan Pranesh ,   Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Malaysian Spanish Institute Universiti Kuala Lumpur, Kulim Hi-Tech Park, 09000, Kulim, Kedah.
Published: July 2020

Development of Anti-theft Steering Wheel Lock Embedded with Fingerprint System is the new improvement from the current design which being upgraded by using the fingerprint sensor as the input. This fingerprint sensor is to secure only authorized user can access it and unlock the steering wheel lock. Otherwise, if the unauthorized user accesses the fingerprint sensor, the magnetic lock remains closed. The objective of this project is to develop an anti-theft steering wheel lock with fingerprint system by using Arduino Nano as a controller to reduce vehicle crime instead of using keys and code number. As stated, Arduino Nano was used as a microcontroller and steering wheel lock as the main component. The other ingredients are including 5V relay, magnetic latch, and power supply. This project is expected to work well and active with the redesign.
Training Program in the Construction projects
Authors:   Phd student. Civil Engineering Department, University of Baghdad/Baghdad. Iraq., Falih Suha , Mohammed Sawsan Rasheed ,   Prof. Civil Engineering Department, University of Baghdad/Baghdad.
Published: July 2020

Construction is questionably a main part in relative to comprehensive development . It plays an important part in the role in the economy as and in people’s survives over influencing and preserving the environment of the city-region’s constructed, and it is a rising sector. To provide an efficient performance and more development of the economic, there is emphases on optimizing the employees contribution to the goals and areas of the governments. The training significance as a management central part has long been documented by principal writers.This paper aim to find the impact of training in the construction industry and how the training is been underestimate lead in increase the cost by using the simulation technique system dynamic. The research methodology include designing of questionnaire that consist of three items , the first item include , general Training (Training Program), evaluation of on-the-job training and evaluation of training after establishing work and the second part include building the model using system dynamic to show the effect of training on the cost of construction. the results the authors made the following conclusions .The absence of training program has very strong effect as the absence of such program is caused by the finance absence , this is common problem with Iraqi construction industry. The most environment of the Iraqi industry is the absence of the finance from both owner and contractor as they ignore this part and consider unnecessary expenses and this will lead to unqualified engineering or worker in the wrong job .The absence of management mean that , usually the contractor and his staff are working without the supervise or represented from the owner side , which some time mean unskilled workers may be hired which lead to delay of the work and cost overruns .
Residential Area Surveillance and Parking System
Authors:   Assistant Professor, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India., P Mathivanan. , G Amarnath. ,   Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India., R Anantharaman. ,   , Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India., M Bharath Kumar. ,   Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India, A Joseph Charles. ,   Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India.
Published: July 2020

The vehicles playing the vital role in our day to day life for transport, and some of the vehicles violates the traffic rules are also increasing, vehicle theft, unnecessary entering into highly restricted areas, increased number of accidents lead to increase in the rate of crime slowly. The vehicle had its own identity it should be recognized which plays the major role in the world. For recognition of the vehicles which are used commonly in the field of safety and security system, LPDR plays a major role and the vehicle registration number is recognized at some certain distance accurately. License Plate recognition is the most efficient and cost effective technique used for detection and recognition purposes. Automatic license plate recognition (ALPR) is used for finding the location of the license plate in the vehicle. These methods and techniques vary based on the conditions like, quality of the image, vehicle on a fine-tuned position, effects of lighting, type of image, etc. The objective is to design an efficient automatic conveyance identification system of sanctioned or unauthorized in the residential societies by utilizing the conveyance number plate. By getting the car image from the surveillance camera in the entrance, we recognizing the number plate and the characters are extracted using OCR (optical character recognition). It converts the character in the image to plain text. Then the plain text of the license plate is cross-verified with the database to check whether the vehicle belongs to residents or visitor. It sends the alert message to the security official when a new visitor request method in a residential area. The log details are stored separately for the resident and visitor in the database. It also provides the details about the parking area availability in the residential area. By calculating the number of vehicles in and out of the area, the detail or availability parking slot is displayed and it sis robust to the size, lighting effects with high rate of detection.
Dog Breed Prediction using Convolutional Neural Network
Authors:   Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India., Kadari Sneha I. , Kulkarni Shubhada S. ,   Professor Computer Science and Engineering, KLS Gogte Institute of Technology, India., Kulkarni Sharada G. ,   Professor Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India.
Published: July 2020

Deep learning gives the strength on the way to train algorithms model that can handle the difficulties of info classification also prediction grounded on totally on arising information as of raw information. Convolutional Neural Networks (CNNs) gives single often used method for image classification and detection. In this exertion, we define a CNNbased approach for spotting dogs in per chance complex images and due to this fact reflect inconsideration on the identification of the one of kinds of dog breed. The experimental outcome analysis supported the standard metrics and thus the graphical representation confirms that the algorithm (CNN) gives good analysis accuracy for all the tested datasets.
Hybrid Frequency Domain Based Robust Digital Video Watermarking Technique Exploiting Fast Motion Frames
Authors:   Computer Science & Engineering, Chitkara University, Rajpura, Punjab, India., Ahuja Rakesh , Haque Mohd Junedul ,   Computer Science & Engineering, Chitkara University, Rajpura, Punjab, India.
Published: July 2020

The rapid development of speedy internet bandwidth transfers the multimedia video objects from one system to another almost immediately. In addition, the digital technology has a capability to produce exact multiple copies of the original video data. This technique can be exploited by unauthorized user to create and distribute multiple identical copies of the original video in an unauthorized way. These productive technologies arise serious concern of copyright protection and to trace the unauthorized user. The proposed technique extracts the motion frames of the video. These extracted frames are used to embed the copyright information as watermark using hybrid techniques as Singular Value Decomposition and Discrete Wavelet Transform. The experimental results show that the scheme is robust to unintentional and intentional video specific attacks considered being frequently occurring attacks.
Physical and Environmental Properties of Thermoplastics Corn Starch TPCS Reinforced Pineapple Leaf Fibre PALF Composite
Authors:   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia., Nazri H. Z. , Ngali Z. ,   Fakulti Kejuruteraan Mekanikal dan Pembuatan, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia, Selamat M.Z. ,   Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia., Shaharuzaman M. A. ,   Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia, Saad A. Md. ,   Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
Published: July 2020

The purpose of this research is to study the physical and environmental properties of thermoplastic corn starch (TPCS) reinforced with 2 mm length of pineapple leaf fibre (PALF) bio-composites. Weight percentages of PALF ranging from 20 wt.% to 60 wt.% were used in this investigation. Hot compression moulding technique was used to produce samples of TPCS with different wt.% of PALF at the temperature of 165 °C for the duration of 15 minutes. The physical tests that had been performed were density, moisture content, moisture absorption and water absorption while the environmental tests were water solubility and soil burial testing. The moisture content results showed a decreasing trend by increasing the PALF content. However, moisture absorption and water absorption revealed an increased yield with the increase in PALF content. Meanwhile, density results did not show much change even when the fibre content was raised up to 60 wt.%. In addition, the water solubility results showed an increasing trend as the fibre was increased from 20 wt.% to 60 wt.%. On the other hand, soil burial results revealed vice versa whereby an increasing fibre content caused the weight loss of bio-composites to gradually decrease from 20 wt.% of fibre loading to the maximum of fibre loading. In conclusion, the physical and environmental properties of TPCS/PALF bio-composites obtained from this study can be used to develop biodegradable products such as containers or disposable trays.
Loan Service Application
Authors:   RV College of Engineering Bengaluru, Pradeep Balaji , Kodavati Murali Krishna ,   Altimetrik Bengaluru, Katiyar Rajani ,   RV College of Engineering Bengaluru, Kirthi  ,   RV College of Engineering Bengaluru
Published: July 2020

In the past few years, much activity has been carried out in developing the Web-Service based, bank Application system. The important work performed by this system is the optimization and enhancement of the existing system. The bank uses a different technology for maintaining the loan of the customer; it uses the MySQL database for storing the data and other specific software for the loan service process. The security of the client’s information during the transaction is of prime importance. The credit risk is analyzed by the system before approval of the loan, apart from these different factors influence the asset structure of the bank. Spring boot is used to develop the loan service application. Postman is used to get the response. The loan servicing application provides the Customer with complete information about the process of loan and its management as mentioned in this paper.
Design of Automized Inspection Vehicle for RTO
Authors:   Department of Electronics and Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India, R Bhushan , Vidhale  ,   Department of Information and Technology, G H Raisoni College of Engineering, Nagpur, India, Khekare Ganesh ,   Department of Information and Technology, G H Raisoni College of Engineering, Nagpur, India, Dhule Chetan ,   Department of Electronics and Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India, Tayade Meenal ,   Department of Electronics and Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India
Published: July 2020

As we are all aware of current trend of Regional Traffic Office (RTO) system. One has to put a lot of effort in order to get licences from RTO. It is very tedious as well as time consuming process. Otherwise in order to get licences quickly we used to get the help of private agents by paying them much more money which is actually an illegal act according the rules of our government. By which people have to suffer a lot. So, with the help of technology we can convert the present tedious and time wasting process of RTO system into simpler and fruitful one. By this way our project also helps us to reduce the corruption which is present in today’s RTO system by completely removing the role of private agents and the people also automatically get benefited with this new RTO system”. The main aim of designed system in paper is to minimize the corruption by suggesting an ideal module which can be implemented in number of places for number of operation. minimize risk of internal fraud and enhance efficiencies by automating process and minimizing operator intervention, through this we can create an integrated , chain of trust for the identity and issuance process. Creating a secure chain of trust using electronic sensors, microcontroller and embedded programming. This System can be connected to IOT device and we can monitor real time data. Designed system is capable of removing corruption occurring while granting a licence to an applicant, and also capable of avoiding on road accidents caused due to inappropriate driving, because in the system licence will give to the applicant which can drive the vehicle properly.