bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of the economic impact of the care of childrem affected by IRR on the average expenses fo families
Authors: Trapani Gianfranco , MiccichÃƒÆ’Ã‚Â¨ Gaetano Maria , Lo Faro Angelo , Virgilio Donato , Annibalini Maurizio , Carbone Rocco , Saruggia Massimo , Zanino Luisella
Published: December 2021

Complementary medicine is more and more used in children and though its clinical outcome has not been clearly assessed. The aim of our group is to evaluate, besides clinical result, the role of biotherapies in a bio-psycho-social environment. In another study we compare the quality of life in families with children affected by atopic dermatitis, who received biotherapic treatment, before and after, by DFIQ. Preliminary results of this study show a clear improvement of indexes for these families. So, in this psycho-social perspective we led this other study, aiming at evaluating the treatment costs in children of age 3 to 6 attending kindergarten and affected by Recurrent Respiratory Infection (IRR), the so called ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œever sick childrenÃƒÂ¢Ã¢â€šÂ¬Ã‚Â. The expenses evaluation difference was considered between families who use allopathic therapy, and families who use complementary therapies, from January to April. So far , as the first results are being gathered , the emerging impression referring to some of the sheets points out that some of the pure complementary medicine utilizes shows significant costs as the season starts , but on the long run meet lowering expenses both about illness ( sick child ) and social charges ( school and working days loss ). The Complementary Medicine treated children show a significantly smaller number of diseases all over the examined season. The average cost of conventional care treatment stands between 100 and 150 euro during the 4 months , while the charge of CAM was 100 -150 euro of actual cost . The expenses for CAM treatments are associated to a smaller number of diseases and therefore, as for social costs, CAM userÃƒâ€šÃ‚Â´s expenses prove less charging.
Measurement report: Ambient volatile organic compounds (VOCs) pollution at urban Beijing: characteristics, sources, and implications for pollution control
Authors: Cui Lulu , Wu Di , Wang Shuxiao , Xu Qingcheng , Hu Ruolan , Hao Jiming
Published: December 2021

Abstract. The increasing ozone (O3) pollution and high fraction of secondary organic aerosols (SOA) in fine particle mass highlighted the importance of volatile organic compounds (VOCs) in air pollution control. In this work, a campaign of comprehensive field observations was conducted at an urban site in Beijing, from December 2018 to November 2019, to identify the composition, sources, and secondary transformation potential of VOCs. The total mixing ratio of the 95 quantified VOCs (TVOC) observed in this study ranged from 5.5–118.7 ppbv with the mean value of 34.9 ppbv, and the contemporaneous mixing ratios of TVOC was significantly lower than those observed in 2014 and 2016, confirming the effectiveness of VOCs emission control measures in Beijing in recent years. Alkanes, OVOCs and halocarbons were the dominant chemical groups, accounting for 75–81 % of the TVOCs across the sampling months. High and low-O3/PM2.5 months as well as several O3/PM2.5 polluted days were identified during the sampling period. By deweathered calculation, we found that high O3/PM2.5 levels were due to both enhanced precursor emission levels and meteorological conditions favorable to O3 and PM2.5 production. The molar ratios of VOCs to NOX indicated that O3 formation was limited by VOCs during the whole sampling period. Diesel exhaust and industrial emission were identified as the major VOCs sources on both O3-polluted and PM2.5-polluted days based on positive matrix factorization (PMF) analysis, accounting for 46 % and 53 %, respectively. Moreover, higher proportion of oil/gas evaporation was observed on O3-polluted days (18 %) than that on O3-clean days (13 %), and higher proportion of coal/biomass combustion was observed on PM2.5-polluted days (18 %) than that on PM2.5-clean days (13 %). On the base of O3 formation impact, VOCs from fuel evaporation and diesel exhaust particularly toluene, xylenes, trans-2-butene, acrolein, methyl methacrylate, vinyl acetate, 1-butene and 1-hexene were the main contributors, illustrating the necessity of conducting emission controls on these pollution sources and species for alleviating O3 pollution. Instead, VOCs from diesel exhaust and coal/biomass combustion were found to be the dominant contributors for secondary organic aerosol formation potential (SOAFP), particularly the VOC species of toluene, 1-hexene, xylenes, ethylbenzene and styrene, and top priority should be given to these for the alleviation of haze pollution. The positive matrix factorization (PSCF) analysis showed that O3 and PM2.5 pollution was mainly affected by local emissions. This study provides insights for government to formulate effective VOCs control measures for air pollution in Beijing.
Contrasting Mineral Dust Abundances from X-Ray Diffraction and Reflectance Spectroscopy
Authors: Sadrian Mohammad R. , Calvin Wendy M. , McCormack John
Published: December 2021

Abstract. Mineral dust particles dominate aerosol mass in the atmosphere and directly modify Earth’s radiative balance through absorption and scattering. This radiative forcing varies strongly with mineral composition, yet there is still limited knowledge on the mineralogy of atmospheric dust. In this study, we performed X-ray diffraction (XRD) and reflectance spectroscopy measurements on 37 different atmospheric dust samples collected as airfall in an urban setting to determine mineralogy and the relative proportions of minerals in the dust mixture. Most commonly, XRD has been used to characterize dust mineralogy; however, without prior special sample preparation, this technique is less effective for identifying poorly crystalline or amorphous phases. In addition to XRD measurements, we performed visible, near-infrared, and short-wave infrared (VNIR/SWIR) reflectance spectroscopy for these natural dust samples as a complementary technique to determine minerology and mineral abundances. Reflectance spectra of dust particles are a function of a nonlinear combination of mineral abundances in the mixture. Therefore, we used a Hapke radiative transfer model along with a linear spectral mixing approach to derive relative mineral abundances from reflectance spectroscopy. We compared spectrally derived abundances with those determined semi-quantitatively from XRD. Our results demonstrate that total clay mineral abundances from XRD are correlated with those from reflectance spectroscopy and follow similar trends; however, XRD underpredicts the total amount of clay for many of the samples. On the other hand, calcite abundances are significantly underpredicted by SWIR compared to XRD. This is caused by the weakening of absorption features associated with the fine particle size of the samples, as well as the presence of dark non-mineral materials (e.g., asphalt) in these samples. Another possible explanation for abundance discrepancies between XRD and SWIR is related to the differing sensitivity of the two techniques (crystal structure vs chemical bonds). Our results indicate that it is beneficial to use both XRD and reflectance spectroscopy to characterize airfall dust, because the former technique is good at identifying and quantifying the SWIR-transparent minerals (e.g., quartz, albite, and microcline), while the latter technique is superior for determining abundances for clays and non-mineral components.
Extreme events driving year-to-year differences in gross primary productivity across the US
Authors: Turner Alexander J. , Köhler Philipp , Magney Troy S. , Frankenberg Christian , Fung Inez , Cohen Ronald C.
Published: December 2021

Abstract. Solar-induced chlorophyll fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP); however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF–GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500 m spatial resolution over a 16 d moving window. We observe four extreme precipitation events that induce regional GPP anomalies: drought in western Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28 % of the year-to-year GPP differences across CONUS. Despite these large regional anomalies, we find that CONUS GPP varies by less than 4 % between 2018 and 2019.
A Hydrologic Monitoring Dataset for Food and Water Security Applications in Central Asia
Authors: McNally Amy , Jacob Jossy , Arsenault Kristi , Slinski Kimberly , Sarmiento Daniel , Hoell Andrew , Pervez Shahriar , Rowland James , Budde Mike , Kumar Sujay , Peters-Lidard Christa , Verdin James
Published: December 2021

Abstract. From the Hindu Kush Mountains to the Registan desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods and food security. The ability to remotely monitor environmental conditions is critical to support decision making for humanitarian assistance. The FEWS NET Land Data Assimilation System (FLDAS) global and Central Asia data streams described here combine meteorological reanalysis datasets and land surface models to generate routine estimates of snow-covered fraction, snow water equivalent, soil moisture, runoff and other variables representing the water and energy balance. This approach allows us to fill the gap created by the lack of in situ hydrologic data in the region. First, we describe the configuration of the FLDAS and the two resultant data streams: one, global, at ~1 month latency, provides monthly average outputs on a 10 km2 grid from 1982–present. The second data stream, Central Asia, at ~1 day latency, provides daily average outputs on a 1 km2 grid from 2001–present. We describe our verification of these data that are compared to other remotely sensed estimates as well as qualitative field reports. These data and value-added products (e.g., anomalies and interactive time series) are hosted by NASA and USGS data portals for public use. The global data stream with a longer record, is useful for exploring interannual variability, relationships with atmospheric-oceanic teleconnections (e.g., ENSO), trends over time, and monitoring drought. Meanwhile, the higher spatial resolution Central Asia data stream, with lower latency, is useful for simulating snow-hydrologic dynamics in complex topography for monitoring snowpack and flood risk.
HydroPy (v1.0): a new global hydrology model written in Python
Authors: Stacke Tobias , Hagemann Stefan
Published: December 2021

Abstract. Global hydrological models (GHMs) are a useful tool in the assessment of the land surface water balance. They are used to further the understanding of interactions between water balance components and their past evolution as well as potential future development under various scenarios. While GHMs have been part of the hydrologist's toolbox for several decades, the models are continuously being developed. In our study, we present the HydroPy model, a revised version of an established GHM, the Max Planck Institute for Meteorology's Hydrology Model (MPI-HM). Being rewritten in Python, the new model requires much less effort in maintenance, and due to its flexible infrastructure, new processes can be easily implemented. Besides providing a thorough documentation of the processes currently implemented in HydroPy, we demonstrate the skill of the model in simulating the land surface water balance. We find that evapotranspiration is reproduced realistically for the majority of the land surface but is underestimated in the tropics. The simulated river discharge correlates well with observations. Biases are evident for the annual accumulated discharge; however, they can – at least to some extent – be attributed to discrepancies between the meteorological model forcing data and the observations. Finally, we show that HydroPy performs very similarly to MPI-HM and thus conclude the successful transition from MPI-HM to HydroPy.
COMPARISON ASSESSMENT OF DIGITAL 3D MODELS OBTAINED BY DRONE-BASED LIDAR AND DRONE IMAGERY
Authors: Bouziani M. , Amraoui M. , Kellouch S.
Published: December 2021

Abstract. The purpose of this study is to assess the potential of drone airborne LiDAR technology in Morocco in comparison with drone photogrammetry. The cost and complexity of the equipment which includes a laser scanner, an inertial measurement unit, a positioning system and a platform are among the causes limiting its use. Furthermore, this study was motivated by the following reasons: (1) Limited number of studies in Morocco on drone-based LiDAR technology applications, (2) Lack of study on the parameters that influence the quality of drone-based LiDAR surveys as well as on the evaluation of the accuracy of derived products. In this study, the evaluation of LiDAR technology was carried out by an analysis of the geometric accuracy of the 3D products generated: Digital Terrain Model (DTM), Digital Surface Model (DSM) and Digital Canopy Model (DCM). We conduct a comparison with the products generated by drone photogrammetry and GNSS surveys. Several tests were carried out to analyse the parameters that influence the mission results namely height, overlap, drone speed and laser pulse frequency. After data collection, the processing phase was carried out. It includes: the cleaning, the consolidation then the classification of point clouds and the generation of the various digital models. This project also made it possible to propose and validate a workflow for the processing, the classification of point clouds and the generation of 3D digital products derived from the processing of LiDAR data acquired by drone.
EXTRACTING TOPICS FROM A TV CHANNEL'S FACEBOOK PAGE USING CONTEXTUALIZED DOCUMENT EMBEDDING
Authors: Habbat N. , Anoun H. , Hassouni L.
Published: December 2021

Abstract. Topic models extract meaningful words from text collection, allowing for a better understanding of data. However, the results are often not coherent enough, and thus harder to interpret. Adding more contextual knowledge to the model can enhance coherence. In recent years, neural network-based topic models become available, and the development level of the neural model has developed thanks to BERT-based representation. In this study, we suggest a model extract news on the Aljazeera Facebook page. Our approach combines the neural model (ProdLDA) and the Arabic Pre-training BERT transformer model (AraBERT). Therefore, the proposed model produces more expressive and consistent topics than ELMO using different topic model algorithms (ProdLDA and LDA) with 0.883 in topic coherence.
ACOUSTIC EXTINGUISHING OF FLAMES DETECTED BY DEEP NEURAL NETWORKS IN EMBEDDED SYSTEMS
Authors: Ivanov S. , Stankov S.
Published: December 2021

Abstract. This paper presents the application of an intelligent flame and smoke detection platform based on artificial vision using Deep Neural Networks (DNN). An acoustic fire extinguisher can be connected to such a platform. In light of recent research, the use of acoustic technology is an environmentally friendly way of extinguishing flames. One of the advantages is then extinguishing immediately after positive detection of flames or smoke (without unnecessary time delay), which is a new combination in the field of fire protection. The authors contribution is the presentation of the conception of the intelligent acoustic extinguisher and the research work made to accomplish that including algorithms and tests. The main objective of the paper is to present the possibilities of acoustic extinguishing and fire detection using selected deep neural network models in embedded systems.
INTERNET USER’S BEHAVIOR FROM THE STANDPOINT OF THE NEURAL NETWORK THEORY OF SOCIETY: PREREQUISITES FOR THE META-EDUCATION CONCEPT FORMATION
Authors: Bakirov A. S. , Vitulyova Y. S. , Zotkin A. A. , Suleimenov I. E.
Published: December 2021

Abstract. An analysis of the behavior of Internet users from the point of view of their preferences in the choice of information sources and the effectiveness of their impact is presented. It is shown that the modern infocommunication space has undergone qualitative changes in the most recent time, and these transformations are already having a pronounced impact on higher education, mainly through the factor of competition between information sources. It is shown that these transformations can be interpreted as the evolution of the noosphere, which is considered as a global infocommunication network, in which non-trivial transpersonal information objects are formed. Their existence leads to the fact that the human intellect has a dual nature - both individual and collective principles are present in it at the same time. The latter is responsible for such phenomena as the collective unconscious, understood in the sense of Jung. It is shown that the neural network model of the noosphere makes it possible to formulate a similar concept of "professional collective unconscious", which is responsible for professional intuition, acts of creativity, etc. In turn, the existence of the professional collective unconscious forces us to radically reconsider the content of what is called training and move to the concept of meta-learning, which, among other things, involves stimulating transitions from one level of interaction with transpersonal information structures that make up the professional collective unconscious to another.
Design and analysis of a six-wheeled companion robot with mechanical obstacle-overcoming adaptivity
Authors: Song Zhen , Luo Zirong , Wei Guowu , Shang Jianzhong
Published: December 2021

Abstract. A six-wheeled companion exploration robot with an adaptive
climbing mechanism is proposed and released for the complicated terrain
environment of planetary exploration. Benefiting from its three-rocker-arm structure, the robot can adapt to complex terrain with its six wheels in
contact with the ground during locomotion, which improves the stability of
the robot. When the robot moves on the flat ground, it moves forward through
the rotation of the wheels. When it encounters obstacles in the process of
moving forward, the front obstacle-crossing wheels hold the obstacle, and
the rocker arms on both sides rotate themselves with mechanical adaptivity
to drive the robot to climb and cross the obstacle like crab legs.
Furthermore, a parameterized geometric model is established to analyze the
motion stability and the obstacle-crossing performance of the robot. To
investigate the feasibility and correctness of design theory and robot
scheme, a group of design parameters of the robot are determined. A
prototype of the robot is developed, and the experiment results show that the
robot can maintain stability in rugged terrain environments and has a
certain ability to surmount obstacles.
Wave-triggered breakup in the marginal ice zone generates lognormal floe size distributions
Authors: Mokus Nicolas Guillaume Alexandre , Montiel Fabien
Published: December 2021

Abstract. Fragmentation of the sea ice cover by ocean waves is an important mechanism impacting ice evolution. Fractured ice is more sensitive to melt, leading to a local reduction in ice concentration, facilitating wave propagation. A positive feedback loop, accelerating sea ice retreat, is then introduced. Despite recent efforts to incorporate this process and the resulting floe size distribution (FSD) into the sea ice components of global climate models (GCM), the physics governing ice breakup under wave action remains poorly understood, and its parametrisation highly simplified. We propose a two-dimensional numerical model of wave-induced sea ice breakup to estimate the FSD resulting from repeated fracture events. This model, based on linear water wave theory and viscoelastic sea ice rheology, solves for the scattering of an incoming time-harmonic wave by the ice cover and derives the corresponding strain field. Fracture occurs when the strain exceeds an empirical threshold. The geometry is then updated for the next iteration of the breakup procedure. The resulting FSD is analysed for both monochromatic and polychromatic forcings. For the latter results, FSDs obtained for discrete frequencies are combined appropriately following a prescribed wave spectrum. We find that under realistic wave forcing, lognormal FSDs emerge consistently in a large variety of model configurations. Care is taken to evaluate the statistical significance of this finding. This result contrasts with the power-law FSD behaviour often assumed by modellers. We discuss the properties of these modelled distributions, with respect to the ice rheological properties and the forcing waves. The projected output will be used to improve empirical parametrisations used to couple sea ice and ocean waves GCM components.
Spatio-Temporal Analysis of Boko Haram Attacks and its Effects on Education in Northern Nigeria (2009-2020)
Authors: Akingbade Adewale , Olabamiji Afolabi , Ajala Olayinka
Published: December 2021

The persistent attacks from Boko Haram have been issues of concern to the Nigerian government and its citizens. The study assessed spatio-temporal pattern of attacks by Boko-Haram insurgents and its effects on education in the Northern Region of Nigeria between 2009 and 2020 with specific objectives of ascertaining the pattern of the attacks, and appraising the trend of attacks’ fatalities over time, and reviewing the effects of the attacks on education. The study covered all three geopolitical zones (19 States with FCT) in the Northern Region of Nigeria. Data on Boko-Haram attacks were obtained from the Armed Conflict Location and Event Data Project (ACLED) database. Nearest Neighbourhood Analysis and Geographically Weighted Regression on ArcGIS 10.8 were analytical techniques adopted in this study. Results with a negative Z-value of -88.62 indicated the clustered pattern of Boko-Haram at an observed mean distance of 1213 metres from one attack to another. There were 28 792 reported fatalities due to Boko-Haram attacks from 2009 and 2020. Boko Haram has affected the education system of the Northern Region of Nigeria through attacks and abduction of students. The study revealed that geospatial technology has the potential to analyse and monitor insecurity issues, and it is thus recommended that geospatial technology need to be integrated into security surveillance and operation to curb the challenges of insecurity on education, not only in the northern region but the entire space of Nigeria, so that Sustainable Development Goal Four (quality education for all) can be achieved.
Three stones : ‘Objectivism’ as poetic mode in Szymborska, Bonnefoy, and Choi
Authors: Disney Dan
Published: December 2021

This paper claims there are paradigmatic worldviews embedded in poems by Szymborska, Bonnefoy, and Choi, and that these exemplify particular ways of apprehending the world which can be taken as generic. Read in the context of Plato’s ancient quarrel with poets, these poems open an investigation into the divide between two competing, contrary modes of perception: objectivism and constructivism. I contend here that to view the world as objectivists do – that is, as existing independently from human agency – is a mode which can enable creative producers to speculate on human contexts within enlarged, meta-historical frameworks. Herein, objectivism delineates generic function: while a philosopher may view the world as constructivists do – namely, as a politico-rhetorical site able to be constructed by human minds – an objectivist not only reviews and revises the essence of things-in-themselves, but engages processes of reviewing so as to no less than destabilize the reality of humanly-constructed, philosophical, hegemonic discourses.
Writing the memoir of self-erasure: A practice-led exploration of constructing and deconstructing the coloniser-who-refuses
Authors: Williams Paul
Published: December 2021

Writing memoir entails more than researching, recording and constructing a past ‘self’. The act of writing forces a set of critical strategies similar to that of writing a fictional work: there is a problem to be solved, narrative choices tobe made, a theory to be tested. The idea of how the past is accessed, reconstructed, researched and re-experienced is also problematic. My recent memoir, Soldier Blue (2008) poses the usual autobiographical problem – ‘Who am I?’ – but further attempts to interrogate and analyse how this ‘I’ isconstructed, and uses narrative strategies such as the conflation of characters and events, a framing device/ use of an outside narrator, and the constant destabilisation of the idea of a retrievable past in order to solve this problem. The protagonist of Soldier Blue has been created by his society (1960s and 1970s Rhodesia) as a colonial ‘white male’ with a particular propagandised national identity and agenda. In this paper, I explain the narrative methods used to help me deconstruct this ‘self’ and trace the paths that lead him out of this labyrinth to become Albert Memmi’s ‘coloniser who refuses’ (Memmi 1990: 106). Further, I discuss how in making certain narrative choices in writing this memoir, the boundaries of fiction and non-fiction are blurred, and that in order to create a cohesive narrative, fictional techniques are used that apparently sacrifice historical and factual integrity for the achievement of other aims – that of achieving the emotional truth of the memory/event … and that of liberating the ‘I’ or ‘self’ from the confines of gender/race/class.
The Effect of Hydrogen Enrichment on The Exhaust Emission Characteristic in A Spark Ignition Engine Fueled by Gasoline-Bioethanol Blends
Authors: Rahman Abdul , Asnawi Asnawi , Putra Reza , Radian Hagi , Waluyo Tri
Published: December 2021

Bioethanol characteristics can be used as an alternative fuel to spark-ignition (SI) engines to reduce emissions. This experiment evaluates the production of emissions for SI engines using hydrogen enrichment in the gasoline-bioethanol fuel blends. The fraction of bioethanol fuel blend was added to the gasoline fuel of 10% by volume and hydrogen fuel produced by the electrolysis process with a dry cell electrolyzer. The NaOH was used as an electrolyte which is dissolved in water of 5% by a mass fraction. The test is conducted using a single-cylinder 155cc gasoline engine with sensors and an interface connected to a computer to control loading and record all sensor variables in real-time. Hydrogen produced from the electrolysis reactor is injected through the intake manifold using two injectors, hydrogen injected simultaneously at a specific time with a gasoline-bioethanol fuel. The test was conducted with variations of engine speeds. The emission product of ethanol--H2 (BE10+H2) was an excellent candidate as a new alternative of fuel solution in the future. The engasolinerichment of hydrogen increased the flame speed and generated a stable combustion reaction. The hydrogen enrichment produced CO2 emission due to the unavailability of carbon content in hydrogen fuel. As a result, the C/H ratio is lower than for mixed fuels.
Disidencias y trazos de neutralidad en la prensa propagandística de trincheras de Falange: La “otra generación del 27” en el semanario La Ametralladora
Authors: Fern´ández-Hoya Gema , Fern´ández-Hoya Alberto
Published: December 2021

El presente artículo estudia la prensa propagandística de Falange dirigida a los combatientes, analizando en profundidad el semanario La Ametralladora, con el objetivo de esclarecer la repercusión de la obra periodística y gráfica de la “Otra Generación del 27”, vinculada a la vanguardia del humor. Se aplica una metodología integrada y multifuncional a partir de la sistematización de la evidencia cuantitativa y la reflexión cualitativa. Los resultados determinan la presencia significativa de estos autores en la prensa falangista “de trincheras” con contenidos culturales despolitizados, que incumplen la línea editorial dictada, desarticulan el propósito de estos espacios, y ponen de manifiesto su independencia de criterio en tiempos de conflicto.
Rádio Inconfidência: the historical path of a Brazilian public broadcaster
Authors: Valadares Gomes Mello Vianna Graziela , De Oliveira Maciel Velise
Published: December 2021

El artículo tiene como objetivo presentar un panorama histórico de la Rádio Inconfidência en Belo Horizonte (Brasil), que a pesar de afirmar ser la primera estación pública brasileña, su historia non ha despertado mucho interés por parte de los investigadores. Elaborado a través de la investigación documental en colecciones de la prensa oficial y otras publicaciones periódicas, trabajos previos y testimonios de locutores, el panorama presentado comienza con los primeros esfuerzos para crear la radio, continúa por los primeros años de funcionamiento, por los tiempos dorados y por los tiempos de crisis en la radio desde la Dictadura Militar en Brasil y, finalmente, llega a los desafíos actuales que amenazan la existencia de Rádio Inconfidência y otras estaciones públicas brasileñas en 2021.
El estancamiento creativo de la publicidad radiofónica en el nuevo escenario sonoro: análisis del tono y estilo de las inserciones publicitarias
Authors: Fajula Payet Anna , Barbeito Veloso Mariluz , Perona Páez Juan José
Published: December 2021

Los trabajos sobre los aspectos más creativos de la publicidad sonora son escasos. Esta investigación pretende cubrir este vacío y pone el foco no solo en los formatos, sino también en el tono y el estilo de las inserciones publicitarias radiofónicas. El análisis longitudinal de una muestra de 679 anuncios emitidos en prime-time por las emisoras generalistas de mayor audiencia en España permite comparar la evolución que presentan las piezas a lo largo de una década. La clasificación metodológica sobre tono y estilo aplicada en esta propuesta presenta una aportación novedosa sobre el papel que juega la creatividad en la publicidad radiofónica en nuestro país, la cual sigue mostrando signos de evidente estancamiento.
La dimensión socioeducativa de las radios comunitarias: un estudio desde la ética del cuidado
Authors: Martínez-Ortiz de Zárate Ana , Barbas-Coslado Ángel
Published: December 2021

Este artículo pretende explorar la dimensión socioeducativa de las radios comunitarias desde la perspectiva de la ética del cuidado. Para ello, se han recopilado 12 historias de vida de personas que han participado en radios comunitarias de España, Uruguay y Argentina. Se han analizado los aprendizajes socioemocionales relatados por personas que han participado en estas radios utilizando tres categorías de análisis: el cuidado hacia uno mismo, hacia los demás y hacia el entorno. El objetivo último es mostrar tanto el potencial pedagógico que tienen las radios comunitarias en relación a los aprendizajes socioemocionales como la importancia de crear alianzas entre estas radios y las instituciones educativas formales para el beneficio de la sociedad en su conjunto.
Consecuencias de la falta de resultados de la Evaluación de Impacto Ambiental: la quiebra de la Unidad del Derecho (Estudio de caso)
Authors: Sotelo Pérez Ignacio
Published: December 2021

La evaluación de Impacto Ambiental dentro y fuera del Ordenamiento Jurídico nos presenta que, de forma concreta en España la experiencia de la evaluación de impacto ambiental (como metodología para incorporar dentro de los estudios de decisión, las circunstancias ambientales), se consolida por medio de la aprobación de una serie de desarrollos normativos surgidos originariamente en el ámbito comunitario, y que posteriormente serían transpuesta al seno del derecho interno español. Un procedimiento que sin lugar a dudas remarca un cierto significado que trasciende a la mera caracterización jurídica, y administrativa, ya que, en el desarrollo de sus determinadas etapas, suelen interponerse e influir fuertes implicaciones de carácter político. De este modo, a lo largo de la presente investigación nos hemos aproximado al estudio, complejo pero apasionante, de las consecuencias emanadas de la aplicación de la metodología de Evaluación de Impacto Ambiental y su incidencia en la la Unidad del Derecho, a través del estudio de caso.
An Analysis of Japanese Sentence-final Particle Yone: Compare Yone and Ne in Response
Authors: Xu Jun
Published: December 2021

Yone, a Japanese sentence-final particle (SFP), is frequently used in conversation, and some functions overlap with ne, another SFP. However, not much discussion has taken place about their differences. This study argues that the two Japanese sentence-final particles, yone and ne, express a distinction about the speaker's state of mind: yone indicates that an idea has been on the speaker's mind, while ne suggests a thought just emerged into the speaker's awareness. Naturally occurring conversation data provides evidence for this claim. The results show that the particles reflect the speaker's choice of presenting his/her state of awareness.
The Economic Hour: Community and Educational Broadcasting in the Huancavelica Region, Peru
Authors: Serrano Rúsbel Freddy Ramos , Matamoros Walter Mayhua , Lino Víctor Marcelino López , Arias Sánchez Raúl Eleazar
Published: December 2021

This article is the result of the execution of the Cultural Extension project entitled "The economic hour"; carried out by the members of the monovalent group "Elinor Ostrom" of the Professional School of Economics (EPE) of the Faculty of Business Sciences (FCE) of the National University of Huancavelica (UNH) in 2019. The main objective of this project was carrying out social service work to the Huancavelica community and provide important information on economic, political, environmental and social situations through a community radio program. A methodological approach of participation-action was used with a specific and contextualized speech model for the elaboration of each radio program during four months. Likewise, the results obtained showed a favourable impact and a high level of satisfaction of the different groups of listeners. Finally, we conclude that the execution of the project involved a successful experience of social rapprochement between the university and society. In this sense, we are sure that this experience will generate greater dialogue and create similar projects for the benefit of our communities.
DEVELOPMENT OF IoT BASED SMART INVERTER FOR ENERGY METERING AND CONTROL
Authors:   Federal University of Technology, Nigeria, Umar Buhari , Nuhu Bello K. ,   Federal University of Technology, Nigeria, Alao Olaoluwa M. ,   Federal University of Technology, Nigeria
Published: December 2021

Insufficient power generation has facilitated the search for alternative power generation, as the world is gradually making the transition to renewable green energy sources as a replacement for fossil fuels and other conventional power generation methods that causes environmental pollution. One of these methods is the use of solar energy for electricity generation through the use of the photovoltaic solar inverter which harnesses the power from the sun to generate electricity. The inability of electricity distributors to provide enough and sustainable power supply for homes and businesses, coupled with the need to live a smart life has made humans sort for an easier control method of electricity generation and usage. Hence, this research presents a smart voice and mobile application control modular inverter integrated with a smart metered energy distribution system, which equally distributes power amongst the users for effective and smart energy usage. A test of applied load on the inverter as compared to normal electricity usage deduced an 8% error rate giving a 92% accuracy for the inverter. The mobile app was tested for both online and offline usage and a 67% accuracy was deduced as the overall accuracy of the software. This gives an inference that the system can be fully operated by a user in the luxury of their comfort. For smart meter monitoring and energy allocation, 93.33% and 96.8% accuracy and precision were achieved respectively. This research makes the usage of green energy more efficient with its feature which allows for equal distribution of energy. The system also helps prevent energy theft or misuse by providing only the proper user with alerts and administrative control.
METHODS OF TARGET RECOGNITION BASED ON CENTRAL IMAGE CHORD TRANSFORMATION
Authors:   Agency for Military Science and Memory, Republic of Moldova, Perju Veaceslav
Published: December 2021

In the article the analysis of different approaches to invariant target recognition was made, such as based on the support vector machines, deep learning techniques, neural networks, generation of moment features, etc. It was determined that one of the perspectives approaches in target recognition suppose the use of the central and logarithmic central image chords transformations. There have been described the new methods of the target recognition, based on the central image chords transformation. Tasks of target recognition were formulated. New 4 methods of target recognition were described. It is presented the comparison of the different target’s recognition methods regarding the processing stages number, realized operations, target’s image normalization’s operation, the operations realized in parallel, kind of the target’s scale and rotation determination sequence, target’s rotation determination approach.
THE INFLUENCE OF DEPENDENCES OF PSYCHOPHYSIOLOGICAL CHARACTERISTICS OF DRIVERS
Authors:   U Belarusian State University of Informatics and Radioelectronics, Republic of Belarus, Rozum Galina , Pashkovskaia Julia ,   U Belarusian State University of Informatics and Radioelectronics, Republic of Belarus, Ivanova Katerina ,   U Belarusian State University of Informatics and Radioelectronics, Republic of Belarus, Sontea Victor ,   Technical University of Moldova
Published: December 2021

The article analyzes the "man-machine-environment" system in relation to the psychophysiological characteristics of the driver - "human operator". The methods of diagnosing the psychophysiological characteristics of drivers were analyzed. The dependencies between the parameters of psychophysiological characteristics were established: complex visual-motor reaction and emotional stability (Pearson correlation coefficient r = -0.7), as well as the correlation between emotional stability and the level of perception of speed and distance (r = 0.5). The psychophysiological characteristics at different stages of the driving experience were revealed and practical recommendations were formulated for their development.
THE PHENOMENON OF CONSCIOUSNESS FROM AN INTER AND MULTIDISCIPLINARY PERSPECTIVE
Authors:   Technical University of Moldova, Lozovanu Ecaterina , Lazariuc Cristina ,   Technical University of Moldova
Published: December 2021

Contemporary science, in recent decades, reflects intensely on the phenomenon of consciousness. This fact is due to the accelerated development of cognitive sciences, biological and physical sciences, neuroscience, which have achieved certain successes in researching the problem of mind-body, consciousness. However, what is strictly required is the issue of the possibility of a scientific theory of consciousness, which would apply a new research methodology. The most recent approaches in this direction substantiate the need for research from a phenomenological structural perspective, which explains consciousness as a phenomenon determined by the subquantum level. Structural-phenomenological theory holds that this level is a profound reality regulated by specific principles and laws that make consciousness possible.
The role of boron in the functioning of the osteoarticular system
Authors:   National Agency for Public Health, Republic of Moldova, Racu Maria-Victoria , Scorei Ion Romulus ,   BioBoron Research Institute, Romania, Pinzaru Iurie ,   National Agency for Public Health, Republic of Moldova
Published: December 2021

Background: Boron was classified by the World Health Organization as ‘possible essential elements for human health’. It can be found in different forms in the environment, has beneficial effects on bones and its deprivation can impair calcium and magnesium metabolism and bone development, their health and maintenance. Dietary boron supplementation can help prevent and manage degenerative and inflammatory bones and articular diseases, such as arthritis, osteoarthritis, rheumatoid arthritis and osteoporosis. Relevant articles were identified in PubMed, Google Scholar, ProQuest, and Scopus databases published until June 2021, describing the role of boron in the functioning of the osteoarticular system. Conclusions: From organic and inorganic boron forms that can enter the human body, organic plant based boron compounds are highly bioavailable. In the functioning of the osteoarticular system boron acts by regulation of calcium and magnesium metabolism, enhancing the vitamin D activation process and influencing serum steroid hormone levels. A boron intake equal to or higher than 3 mg per day can help prevent/or correct arthritis, osteoporosis and osteoarthritis. Calcium fructoborate can reduce pain, joint discomfort and increase endogenous vitamin D level in patients with osteoarthritis. Boron may play a role in pathophysiology of rheumatoid arthritis and its severity and a supplementation with boron element may be useful.
PERBAIKAN UNTUK MENGURANGI DEFECT PERBEDAAN WARNA (BELANG) PADA PISTON TYPE B DALAM PROSES HEAT TREATMENT DI PT. X
Authors: Wahyudi Wahyudi
Published: December 2021

Berdasarkan claim customer yang diterima terdapat produk piston type b yang mengalami defect perbedaan warna (belang). Dilihat dari hasil sortir produk yang dilakukan terdapat defect perbedaan warna (belang) untuk type b sebanyak 1552 pcs dari jumlah total yang dilakukan sortir yaitu 3481 pcs. Dari hasil analisa kondisi dengan 4M+1E didapatkan penyebab defect perbedaan warna (belang) yaitu pada factor man dan factor machine. Pada factor man yaitu terdapat penyusunan piston yang tidak rapi dalam basket sehingga menyebabkan lubang sirkulasi untuk penyaluran panas secara merata tertutup serta pengotor pada sarung tangan man power yang digunakan. Pada factor machine penyebabnya yaitu karena pembacaan thermocouple yang sudah tidak akurat sehingga beda pembacaan antara temperature di mesin dengan thermocontrol. Berdasarkan akar permasalahan tersebut, perbaikan yang dilakukan pada factor man yaitu melakukan sosialisasi untuk menjalankan SOP penyusunan basket yang telah dibuat dan lebih awareness terhadap kebersihan sarung tangan yang digunakan. Untuk factor machine perbaikan yang dilakukan yaitu dengan mengganti thermocouple pada mesin M14 dan dilakukan setting ulang agar pembacaan akurat. Setelah dilakukan perbaikan tersebut defect perbedaan warna (belang) yang pada bulan Januari-Februari 2021 yaitu 1552 pcs kemudian setelah adanya perbaikan, pada bulan Juni 2021 menjadi 0 pcs.
Effect of Palliative Radiotherapy in controlling pain of Malignancy
Authors: Hamdan Saba Jasim , Al-Rawaq Khudair J. , Razaq Ali Abdul
Published: December 2021

Background: Radiation therapy reported to be an effective in palliating pain. Objective: To describe roles of palliative radiotherapy in controlling pain in metastatic cancerous patients, and evaluation of radio-therapy doses in pain management. Methods: A prospective observational study carried out at the Baghdad Radiotherapy and Nuclear Medicine Center/Baghdad Medical City Complex, Baghdad, Iraq, from 1st of December 2018 to 30th of May 2019. 88 Patients, were included. Patients were assessed before applying radiotherapy, and at the end of treatment. Pain scoring used from 0 to 10. Kaplan Meier survival curve used. Result: The mean±SD of age was 55.44±11.1 years, and the most frequent age group was 41-50years as 37(42.1%). Breast cancer come in 1st rank cases studied in our research as 35(39.8%). 42(47.7%) of patients received radio-therapy on metastatic spine vertebral lesions. Sharp pain, frequent pain, pain at night were the commonest. Before treatment, the most common scoring was (8) in 33(37.5%) patients, while after palliative radio-therapy the scoring shift downward. Radio-therapy dose of 1200 cGy improved overall survival of patients in this study to 21.5 weeks (95%CI= 20.2-22.8). Conclusion: Radiotherapy is effective in palliative therapy. A dose of 1200 cGy improved overall survival of patients in this study to 21.5 weeks.
Formulation and Evaluation of Luliconazole Microsponges Loaded Gel for Topical Delivery
Authors: Sultan Farhana , Chopra Himansu , Kumar Sharma Gyanendra
Published: December 2021

Microsponge containing Luliconazole (LCZ) with different proportion of drug:polymer (Ethyl cellulose and Eudragit RS 100) were obtained efficiently using Quasi-emulsion solvent diffusion method. Luliconazole is an anti-fungal drug used for the topical delivery. The purpose of the microsponge formulation is to control the release of LCZ drug to the skin through Microsponge Delivery System (MDS) known to be the novel technique which overcome the maximum concentration of active ingredient, frequency doses, and skin irritation. The prepared microsponges were examined using drug content, % production yield, % entrapment efficiency and in-vitro drug release. The formulation were subjected to in-vitro drug release studies for 6 hr in which it was concluded that Ethyl cellulose microsponges formulated by drug:polymer (1:1) and Eudragit RS 100 microsponges formulated by drug:polymer (1:3) showed maximum controlled release i.e., Increase in drug:polymer ratio (1:1 to 1:9) increased the production yield and entrapment efficiency of microsponges using Ethyl cellulose with no significant effect for Eudragit RS 100.Therefore, both formulation F1 and F2 was dispersed in carbopol gel preparation for controlled delivery of LCZ to the skin. Various physical parameters like pH, spreadability, viscosity and in-vitro drug diffusion studies were evaluated for the prepared gel formulations. Microsponge gel formulation i.e., FG1 showed better results for controlled release of 89.40% as compared to FG2 i.e., 92.18% over the period of 12 hrs which is performed in Franz Diffusion Cell. On basis of in-vitro diffusion studies for LCZ gel formulation, microsponges using Ethyl cellulose (FG1) was found to be best for its controlled release of LCZ for 12 hrs and followed zero order kinetics. Hence, formulated LCZ loaded gel have potential to treat fungal infections i.e., tinea pedis, tinea cruris and tinea corporis.
RP-HPLC Method Development and Validation for the Estimation of Sacubitril and Valsartan in Pharmaceutical Dosage Form
Authors: Kadam G.M. , Puyad A.L. , Kalyankar T.M.
Published: December 2021

A new, economical, simple, accurate, and precise RP-HPLC method was developed for simultaneous assay and content uniformity determination of Sacubitril and Valsartan in bulk and pharmaceutical dosage form. The separation of Sacubitril and Valsartan was achieved within 6 minutes on Phenomenex Luna C18 250 mm x 4.6mm and 5µm Particle Size, column using Acetonitrile: Methanol: Water (30:55:15% v/v/v) as the mobile phase. Detection was carried out at 250 nm wavelength. The retention time of Sacubitril and Valsartan was found to be 2.361 and 3.304 min, respectively. The validation of the developed method was performed in terms of specificity, accuracy, precision, linearity, the limit of detection, the limit of quantification as mentioned in International Conference on Harmonization (ICH) guidelines. The method showed adequate sensitivity concerning linearity, accuracy, and precision over the range 12-36 μg/ml and 13-39 μg/ml for Sacubitril and Valsartan, respectively. The percentage recoveries obtained for Sacubitril and Valsartan were found to be in the range of 98.00 – 102.00 %. The proposed method is suitable for use in quality-control laboratories for quantitative analysis.