bluuebunny/crossref_metadata_2025 huggingface dataset:
Influencia de la normativa INEN e ISO en las empresas del sector comercial de la provincia de Cotopaxi
Authors: Mejía-Sulca Solange , Pulido-Cajamarca Sandy , Caicedo-Atiaga Francisco
Published: April 2023

Alcanzar un modelo de calidad en las empresas del sector comercial ha generado controversias en lo que se refiere a la Influencia de la normativa INEN e ISO en las empresas del sector comercial de la provincia de Cotopaxi, cómo implementarlo y si puede llegar a tener incidencia respecto a su rentabilidad, debido a que deben pasar por un proceso de certificación. El fin de este artículo es cuestionar si las empresas conocen los beneficios de aplicar una normativa interna o externa. Para lo cual se presenta consideraciones teóricas sobre el Servicio Ecuatoriano de Normalización (INEN), la Organización Internacional de Normalización (ISO) y la Estructura del Sistema Financiero Ecuatoriano. La metodología que se uso fue de enfoque mixto, tanto cuantitativo y cualitativo. En la que se determinó que no hacen uso de las normativas internacionales por diferentes causas como: la  falta de cultura de calidad, poca información que tiene la población en general de estas certificaciones, la implementación de departamentos de calidad, el personal adecuado que deben tener para manejar estos departamentos, los costos representativos que tiene el implementar una normativa internacional como lo son las ISO en las empresas del sector y también por el poco impacto que genera en la rentabilidad el adquirirlas.
Factores que influyen en el desarrollo de habilidades blandas en la formación inicial de profesores
Authors: Chan Chi Gladis Ivette , Zaldívar Acosta Marisa del Socorro
Published: April 2023

Las habilidades blandas son un constructo que complementa a las habilidades duras y su desarrollo favorece un desempeño exitoso. El objetivo de este estudio es analizar los factores que influyen en el desarrollo de habilidades blandas de los profesores en formación inicial de una Universidad pública en el sureste de México. La investigación se realizó desde el paradigma cualitativo, empleando el método de estudio de casos de tipo intrínseco. Los datos se analizaron a partir de la técnica de análisis de contenido y se establecieron dos categorías: factores internos y factores externos que influyen en el desarrollo de habilidades blandas. Los resultados mostraron que los profesores refirieron entre los factores internos los valores, la actitud positiva, la gestión de las emociones y el uso del lenguaje positivo; y que el logro de un autoconocimiento profundo les permite tomar conciencia de sus potencialidades, a partir de las cuáles logran desarrollar habilidades blandas de comunicación asertiva, resolución de problemas, entre otras. Mientras que en relación con los factores externos señalaron la influencia de la familia y de los amigos, así como la importancia de promover un clima escolar positivo y emplear estrategias de enseñanza y de aprendizaje pertinentes en el proceso de formación para el logro de las habilidades. Se concluye que los factores identificados, apoyan el crecimiento personal al tiempo que coadyuvan al desarrollo de habilidades blandas útiles en los diferentes ámbitos en los que una persona se desenvuelve.
Size-dependent hygroscopicity of levoglucosan and D-glucose aerosol nanoparticles
Authors: Lei Ting , Su Hang , Ma Nan , Pöschl Ulrich , Wiedensohler Alfred , Cheng Yafang
Published: April 2023

Abstract. The interaction between water vapor and aerosol nanoparticles is
important in atmospheric processes. Hygroscopicity of sub-10 nm organic
nanoparticles and their concentration-dependent thermodynamic properties
(e.g., water activity) in the highly supersaturated concentration range are,
however, scarcely available. Here we investigate the size dependence of
hygroscopicity of organics (i.e., levoglucosan, D-glucose) in dry particle
diameter down to 6 nm using a nano-hygroscopicity tandem differential
mobility analyzer (nano-HTDMA). Our results show that there is only weak
size-dependent hygroscopic growth of both levoglucosan and D-glucose
nanoparticles with diameters down to 20 nm. In the diameter range smaller
than 20 nm (down to 6 nm), we observed strong size-dependent hygroscopic
growth for D-glucose nanoparticles. The hygroscopic growth factors cannot be
determined for levoglucosan below 20 nm due to its evaporation. In addition,
we compare hygroscopicity measurements for levoglucosan and D-glucose
nanoparticles with E-AIM (standard UNIFAC – functional group activity coefficients), the ideal solution theory,
and differential
Köhler analysis (DKA) predictions. The ideal solution theory describes
the measured hygroscopic growth factors of levoglucosan with diameters down
to 20 nm and D-glucose nanoparticles with diameters larger than 60 nm, while E-AIM (standard UNIFAC) can successfully
predict the growth factors of D-glucose nanoparticles with diameters from
100 down to 6 nm at RH above 88 %–40 % (e.g., at RH above 88 % for 100 nm D-glucose, at RH above 40 % for 6 nm D-glucose). The use of the DKA
method leads to good agreement with measured hygroscopic growth factors of
D-glucose aerosol nanoparticles with diameters from 100 down to 6 nm.
Predicted water activity for these aqueous organic solutions (i.e.,
levoglucosan, D-glucose) from different parameterization methods agrees well
with observations in the low solute concentration range (< 20 mol kg−1) and starts to deviate from observations in the high solute
concentration (> 20 mol kg−1).
Effects of the terdiurnal tide on the sporadic E (Es) layer development at low latitudes over the Brazilian sector
Authors: Fontes Pedro Alves , Muella Marcio Tadeu de Assis Honorato , Resende Laysa Cristina Araújo , Andrioli Vânia Fátima , Fagundes Paulo Roberto , Pillat Valdir Gil , Batista Paulo Prado , Carrasco Alexander Jose
Published: April 2023

Abstract. Sporadic E (Es) layers are patches of high ionization observed at
around 100–140 km height in the E region. Their formation at low latitudes
is primarily associated with the diurnal and semidiurnal components of the
tidal winds via the ion convergence driven by the wind shear mechanism.
However, recent studies have shown the influence of other tidal modes, such
as the terdiurnal tide. Therefore, this work investigates the effect of
terdiurnal tide-like oscillations on the occurrence and formation of the Es layers
observed over Palmas (10.17∘ S, 48.33∘ W; dip lat.
−7.31∘), a low-latitude station in Brazil. The analysis was
conducted from December 2008 to November 2009 by using data collected from
CADI (Canadian Advanced Digital Ionosonde). Additionally, the E
Region Ionospheric Model (MIRE) was used to simulate the terdiurnal tidal
component in the Es layer development. The results show modulations of 8 h
periods on the occurrence rates of the Es layers during all seasonal periods.
In general, we see three well-defined peaks in a superimposed summation of
the Es layer types per hour in summer and autumn. We also observed that the
amplitude modulation of the terdiurnal tide on the Es occurrence rates
minimizes in December in comparison to the other months of the summer
season. Other relevant aspects of the observations, with complementary
statistical and periodogram analysis, are highlighted and discussed.
Local processes with global impact: unraveling the dynamics of gas evasion in a step-and-pool configuration
Authors: Peruzzo Paolo , Cappozzo Matteo , Durighetto Nicola , Botter Gianluca
Published: April 2023

Abstract. Headwater streams are important sources of greenhouse gases to the atmosphere. The magnitude of gas emissions originating from such streams, however, is modulated by the characteristic microtopography of the river bed, which might promote the spatial heterogeneity of turbulence and air entrainment. In particular, recent studies have revealed that step-and-pools, usually found in close sequences along mountain streams, are important hotspots of gas evasion. Yet, the mechanisms that drive gas transfer at the water-air interface in a step and pool configuration are not fully understood. Here, we numerically simulated the hydrodynamics of an artificial step-and-pool configuration to evaluate the contribution of turbulence and air entrainment to the total gas evasion induced by the falling jet. The simulation was validated using observed hydraulic features (stage, velocity) and was then utilized to determine the patterns of energy dissipation, turbulence-induced gas exchange, and bubble-mediated transport. The results show that gas evasion is led by bubble entrainment and is mostly concentrated in a small and irregular region of a few dm2 near the cascade, where the local gas transfer velocity, k, peaks at 500 md−1. The enhanced spatial heterogeneity of k in the pool does not allow one to define a priori the region of the domain where the outgassing takes place, and makes the value of the spatial mean of k inevitably scale-dependent. Accordingly, we propose that the average mass transfer velocity could not be a meaningful metric to describe the outgassing in spatially heterogeneous flow fields, such as encountered in step-and-pool rivers.
ModE-Sim – A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009)
Authors: Hand Ralf , Samakinwa Eric , Lipfert Laura , Brönnimann Stefan
Published: April 2023

Abstract. We introduce ModE-Sim, a medium size ensemble of simulations with the atmospheric general circulation model ECHAM6 in its LR version (T63/approx. 1.8° horizontal with 47 vertical levels) that covers the period from 1420 to 2009. With 60 ensemble members between 1420 and 1850 and 36 ensemble members from 1850 to 2009 ModE-Sim consists of 31620 simulated years in total. The dataset forms the input for a data assimilation procedure that combines historical climate informations with additional constraints from a climate model to produce a novel gridded 3-dimensional dataset of the modern era. Additionally, ModE-Sim on its own is also suitable for many other applications as its various subsets can be used as initial condition and boundary condition ensemble to study climate variability. The main intention of this paper is to give a comprehensive description of the experimental setup of ModE-Sim and to provide an evaluation of the two key variables 2m-temperature and precipitation. We demonstrate ModE-Sims ability to represent their mean state, to produce a reasonable response to external forcings and to sample internal variability. At the example of heat waves we show that the ensemble is even capable of capturing extreme events.
Historical and projected future runoffs over the Mekong River Basin
Authors: Wang Chao , Leisz Stephen , Li Li , Shi Xiaoying , Mao Jiafu , Zheng Yi , Chen Anping
Published: April 2023

Abstract. The Mekong River (MR) crosses the borders and connects six countries including China, Myanmar, Laos, Thailand, Cambodia, and Vietnam. It provides critical water resources and supports natural and agricultural ecosystems, socio-economic development, and livelihoods of the people living in this region. Understanding changes in runoff of this important international river under projected climate change is critical for water resource management and climate change adaptation planning. However, research on long-term runoff dynamics for the MR and the underlying drivers of runoff variability remains scarce. Here, we analyse historical runoff variations from 1971 to 2020 based on runoff gauge data collected from eight hydrological stations along the MR.With these runoff data, we then evaluate the runoff simulation performance of four global climate models (GCMs) and five global hydrological models (GHMs) under the ISI-MIP project. Furthermore, based on the best simulation combination, we quantify the impact of future climate change on river runoff changes in the MR. The result shows that the an nual runoff in the MR has not changed significantly in the past five decades, while the establishment of dams and reservoirs in the basin significantly affected the annual runoff distribution.WaterGap2 forced by GCMs ensemble-averaged climates has the best runoff simulation performance. Under representative concentration pathways (RCPs, i.e., RCP2.6, RCP6.0 and RCP8.5), runoff of the MR is projected to increase significantly (from 3.81 m3 s−1 a−1 to 16.36 m3 s−1 a−1). In particular, under the RCP6.0 scenario, the annual runoff increases most significantly in the middle and lower basin due to increased precipitation and snowmelt. Under the RCP8.5 scenario, the runoff distribution in different seasons varies significantly, increasing the risk of flooding in the wet season and drought in the dry season.
A Submesoscale Eddy Identification Dataset Derived from GOCI I Chlorophyll–a Data based on Deep Learning
Authors: Wang Yan , Yang Jie , Wu Kai , Hou Meng , Chen Ge
Published: April 2023

Abstract. This paper presents an observational dataset on submesoscale eddies, which obtains from high–resolution chlorophyll–a distribution images from GOCI I. We employed a combination of digital image processing, filtering, YOLOv7–X, and small object detection techniques, along with specific chlorophyll image enhancement processing, to extract information on submesoscale eddies, including their time, polarity, geographical coordinates of the eddy center, eddy radius, coordinates of the upper left and lower right corners of the prediction box, area of the eddy's inner ellipse, and confidence score, which covers eight daily periods between 00:00 and 08:00 (UTC) from April 1, 2011, to March 31, 2021. We identified a total of 19,136 anticyclonic eddies and 93,897 cyclonic eddies at a confidence threshold of 0.2. The mean radius of anticyclonic eddies is 24.44 km (range 2.5 km to 44.25 km), while that of cyclonic eddies is 12.34 km (range 1.75 km to 44 km). The unprecedented hourly resolution dataset on submesoscale eddies provides information on their distribution, morphology, and energy dissipation, making it a significant contribution to understanding marine environments and ecosystems, as well as improving climate model predictions. The dataset is available at https://doi.org/10.5281/zenodo.7694115 (Wang and Yang, 2023).
Improving trajectory calculations by FLEXPART 10.4+ using single-image super-resolution
Authors: Brecht Rüdiger , Bakels Lucie , Bihlo Alex , Stohl Andreas
Published: April 2023

Abstract. Lagrangian trajectory or particle dispersion models as well as semi-Lagrangian advection schemes require meteorological data such as wind, temperature and geopotential at the exact spatiotemporal locations of the particles that move independently from a regular grid. Traditionally, these high-resolution data have been obtained by interpolating the meteorological parameters from the gridded data of a meteorological model or reanalysis, e.g., using linear interpolation in space and time. However, interpolation is a large source of error for these models. Reducing them requires meteorological input fields with high space and time resolution, which may not always be available and can cause severe data storage and transfer problems. Here, we interpret this problem as a single-image super-resolution task. That is, we interpret meteorological fields available at their native resolution as low-resolution images and train deep neural networks to upscale them to a higher resolution, thereby providing more accurate data for Lagrangian models. We train various versions of the state-of-the-art enhanced deep residual networks for super-resolution (EDSR) on low-resolution ERA5 reanalysis data with the goal to upscale these data to an arbitrary spatial resolution. We show that the resulting upscaled wind fields have root-mean-squared errors half the size of the winds obtained with linear spatial interpolation at acceptable computational inference costs. In a test setup using the Lagrangian particle dispersion model FLEXPART and reduced-resolution wind fields, we find that absolute horizontal transport deviations of calculated trajectories from “true” trajectories calculated with un-degraded 0.5∘ × 0.5∘ winds are reduced by at least 49.5 % (21.8 %) after 48 h relative to trajectories using linear interpolation of the wind data when training on 2∘ × 2∘ to 1∘ × 1∘ (4∘ × 4∘ to 2∘ × 2∘) resolution data.
SPATIOTEMPORALLY IMPROVING THE RURAL ACCESS INDEX – A REMOTE SENSING BASED APPROACH
Authors: Halbgewachs M. , Schneibel A. , Gähler M.
Published: April 2023

Abstract. Many countries, especially in the global south still lack the ability to effectively pursue basic policies, which can lead, in the worst case, to armed conflicts. Access to markets is a key factor for economic growth and an important component in reducing poverty. The SDG 9.1.1 addresses the proportion of the rural population who live within 2km of an all-season road, which can be mapped by the Rural Access Index (RAI), introduced by the World Bank in 2006. This requires the road network of so-called all-season roads, population distribution and rural areas. We developed a fully automated approach, using remote sensing and other open source data to calculate the RAI on an annual basis between 2013 and 2020 for the Lake Chad region. We achieved an overall accuracy between 97.0% and 97.5% in detecting all-season roads using a Random Forest classification. Our method shows similar results to those published by the World Bank. However, our approach provides a higher spatial and temporal resolution measuring the RAI compared to previous studies and is independent of field studies.
MODELLING AND VISUALIZING URBAN GROWTH TRAJECTORY IN ABU DHABI USING TIME SERIES SATELLITE IMAGERY
Authors: Issa S. , Al Ameeri M. , Abouhaligah H. , Alkaabi N. , Sultan M. , Dahy B.
Published: April 2023

Abstract. Anthropogenic activities are leading to massive changes in the natural environment. An assessment of these changes is crucial for sustainable development. The present study aims to characterize and geo-visualize the spatial and temporal changes in the capital city of Abu Dhabi (AD) in the United Arab Emirates (UAE) and to assess and identify the driving forces behind this process. The temporal assessment of urban growth in AD was carried out using eight Landsat images for the period between 1990 and 2022. Initially the images were classified into seven land use land cover (LULC) classes namely: Urban, Sparse vegetation, Dense vegetation, Shallow water, Deep Water, Sand, and Sabkha. The 7 classes were then collapsed and merged to create a binary mask showing urban/non-urban areas. The post-classification approach was implemented to track the dynamic changes and to quantify the urbanization process of the capital city during the study period. The study showed a rise of 21.4% in urban area at the expense of a significant fall in the sand and sabkha classes. It was also found that, unlike most world urban centers, AD city is not developing at the cost of green areas. To the contrary, vegetated areas (sparse and dense vegetation classes) of AD have doubled more than 60 times over the years 1972 to 2021. We concluded that urbanization in the UAE is supporting the sustainable environmental development in the region and is responding positively to the United Nations (UN)’ Sustainable Development Goals (SDGs).
CEREAL CROP IDENTIFICATION USING SENTINEL2 TIME SERIES, CASE OF SIDI BEL ABBES AREA
Authors: Mansour D. , Attaf D. , Ghabi M.
Published: April 2023

Abstract. The department of Sidi Bel Abbes is considered among the primary region producing cereal at the national level in Algeria. The study that we conducted is based on time series analysis using Sentinel2 images to monitor the cultivated cereal crops, combined with the field data including cereal plots for the growing season of 2020–2021.The methodology adopted in this study focused mainly on the processing of a Normalized Difference Vegetation Index (NDVI) time series. The analysis of the NDVI time series from October to July 2021, allowed us to determine the typical profiles of cereal crops, based on thresholding obtained to extract the areas cultivated by cereal crops. The geographical distribution of cereal in terms of area represents a high density of green biomass in the highlands and a low density of vegetation towards the plain and the highlands of the northwest area. The analysis of the profile’s growth for the cereal crops, allowed us to understand the behavior of the cereal crop during its development and to catch the relationship of these behaviors, the meteorological conditions and the agricultural practices followed.
SOYBEAN CROP YIELD PREDICTION BY INTEGRATION OF REMOTE SENSING AND WEATHER OBSERVATIONS
Authors: Mohite J. D. , Sawant S. A. , Pandit A. , Agrawal R. , Pappula S.
Published: April 2023

Abstract. The main objective of this study is the in-season forecasting of soybean crop yield using the integration of satellite remote sensing and weather observations. The study was carried out in the Paran´a state of Brazil. The soybean crop in the study region is sown during Oct.–Nov. month and harvested between Feb.–Mar. of the next year. Municipality-level soybean yield data for 15 municipalities was obtained from the AGROLINK portal of Brazil, from the 2005–06 season to the 2020–21 season. The crop yield data constituted yearly municipality-wise yield in kg/ha. Remote sensing-based indicators such as the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST), and Rainfall data from CHIRPS was considered in the study. Regression modelling was carried out between municipality-level yield as the dependent variable and features generated from remote sensing and weather observations as independent variables. Performance evaluation of tuned random forest regression (RFR) and tuned support vector regression (SVR) were performed against multiple linear regression (MLR). A comparison of results in terms of algorithms shows that RFR performed better than SVR and MLR. Further, a rootmean- square-error (RMSE) of 414 kg/ha and an R2 value of 0.748 were achieved by the best RFR model. Validation of developed RFR model was performed on the data from the new soybean season, i.e., 2020–21. We have achieved an R2 value of 0.693 with a RMSE of 585 kg/ha. Although the model performance on the data of 2020-21 season is slightly reduced, R2 and RMSE are in good agreement with test results. This study showed that, integration of remote sensing and weather observations would be useful for in-season yield forecasting of soybean at municipality level.
A PROPOSED FRAMEWORK FOR SURVEILLANCE OF DENGUE DISEASE AND PREDICTION
Authors: Sharma V. , Ghosh S. K. , Khare S.
Published: April 2023

Abstract. Recurring outbreaks of dengue during past decades have affected public health and burdened resource constraint health systems across the world. Transmission of such diseases is a conjugation of various complex factors including vector dynamics, transmission mechanism, environmental conditions, cultural behaviours, and public health policies. Modelling and predicting early outbreaks is the key to an effective response to control the spread of disease. In this study, a comprehensive framework has been proposed to model dengue disease by integrating significant factors using different inputs, such as remote sensing, epidemiological data, and health infrastructure inputs. This framework for Dengue Disease Monitoring (DDM) model provides a conceptual architecture for integrating different data sources, visualization and assessment of disease status, and prediction analysis. The developed model will help forewarn the public health administration about the outbreak for planning interventions to limit the spread of dengue. Further, this forecasting model may be applied to manage the existing public health resources for medical and health infrastructure, also to determine the efficacy of vector surveillance and intervention programmes.
CHARACTERISING THE SLUM ENVIRONMENT FROM SPACE FOR ACHIEVING SDGS
Authors: Shekhar S. , Ravi K.
Published: April 2023

Abstract. With less than eight years left to achieve the Global Goals, nations are accelerating the design and implementation of sustainable solutions to the world’s biggest challenges ranging from poverty to climate change. India has assessed its status in achieving SDGs through SDG Index, an aggregate measure that computes goal-wise scores on the 16 SDGs. For SDG 11, the 2020-21 assessment showed that all other 32 states scored above 65 as front runners except for seven. One such criterion to assess the progress of SDG11 is the “percentage of urban households living in Katcha houses”. In the present study, to understand the slum development activities to attain sustainability at a city level, Chennai has been chosen as a case study. Using VHR data from Google Earth Pro, the slums of Chennai are mapped, and the recent changes in the slum status are identified.The slums are categorised into four categories: existing, emerged, expanded and evicted slums, based on their characteristics. The study shows that between 2001 and 2011 there are 110 new slums emerged in the study area, which accounts for 1.43 sq. km. There are only a few slums that emerged between 2011 and 2022 (0.35 sq. km), but there was a considerable slum expansion (1.07 sq. km.) during that period, and some slums were evicted from their previous locations. The results based on satellite data have been verified and validated at the field level. The ongoing slum development programs in Chennai give optimistic hope for achieving inclusive urban development by 2030.
MONITORING THE ENVIRONMENT IN SMART CITIES: THE IMPORTANCE OF GEOSPATIAL LOCATION REFERENCING
Authors: Suleymanoglu B. , Toth C. , Masiero A. , Ladai A.
Published: April 2023

Abstract. The Smart City concept is taking momentum recently as big metropolises as well as mid-size cities are intensifying their efforts to improve the life of people living in dense urban environment. Local governments are eager to have up-to-date information of every aspect of city life, including environmental data, such as air and water quality parameters; mobility data, such as traffic flow, including vehicles, transit passengers; crowd control, such as public events, mobility in hospitals; life quality data, such as social status, education level, health records; etc. Monitoring all these very different data streams in space and time is a formidable challenge. While on the data acquisition side, tremendous progress has been achieved, as sensors have been deployed in increasingly large numbers on both mobile and static platforms, there is a lack of creating accurate geotags, as the quality of georeferencing varies over a large scale. It is important to note that the data acquisition is becoming largely customer-based, as smart devices are efficient sensor systems and with advancing communication technologies, crowdsourcing is quickly becoming the dominant data source on mobile platforms. In this paper, we investigate the potential to exploit the ranging capabilities of imaging and communication sensors and use the strength of the spatial network formed by the sensors to improve the georeferencing of a group of platforms operating in a close environment, such as UAS swarm or a platoon of autonomous vehicles. Transportation in cities and in general mobility are of great interest to Smart Cities, they represent one of the most significant components of the activities, so having an optimized transportation system is essential to reduce carbon footprint, decrease commute time, and just improve the quality of life. To assess the performance of collaborative navigation based accurate georeferencing, data was acquired at a simulated intersection area at The Ohio State University, where multiple vehicles, pedestrians and cyclists were moving around. In addition, drones were flying above the area. Here we report about our initial results.
ANALYSIS OF THE REMOTELY SENSED WATER QUALITY PARAMETERS OF THE INSUBRIC LAKES: METHODS AND RESULTS OF THE INTERREG SIMILE PROJECT
Authors: Amieva J. F. , Austoni A. , Bresciani M. , Brovelli M. A.
Published: April 2023

Abstract. Lakes are a fundamental component of the environment and the territory and represent a precious source of fresh water for various uses. The area of the Prealps north of the Po valley in Italy is characterized by the presence of lakes which represent almost 80% of the total volume of fresh water in Italy (Rogora et al., 2018). The Insubric lakes (Lugano, Maggiore and Como) have their shared basins between Italy and Switzerland, and they are the objective of the SIMILE project, a cross-border Italian-Swiss project that aims to improve their coordinated management and strengthen stakeholder participation in the processes of knowledge and monitoring of water resources (Brovelli et al., 2019) by analyzing data acquired from in-situ to satellite sensors. The present work refers to data collected by remote sensing methods which offer the possibility to obtain synoptic views of water bodies to monitor water quality parameters (WQPs) such as the chlorophyll-a (Chl-a), the total suspended matter (TSM) and the lake surface water temperature (LSWT) (Giardino et al., 2013). This work presents an extensive evaluation of the space-time trends of the parameters based on the SIMILE remote sensing database.
Role of inheritance during tectonic inversion of a rift system in basement-involved to salt-decoupled transition: analogue modelling and application to the Pyrenean–Biscay system
Authors: Miró Jordi , Ferrer Oriol , Muñoz Josep Anton , Manastchal Gianreto
Published: April 2023

Abstract. The reactivation of former rift systems and passive
margins during tectonic inversion and their incorporation into
fold-and-thrust belts result in significant structural differences not only
between internal and external domains, but also along-strike. The
Basque–Cantabrian and Asturian systems are among the best examples to
address the role of along-strike changes in rift inheritance since they show
a transition from salt to basement-inherited structures divided by a
transition zone separating thick- from thin-skinned structural domains. While
both domains have been widely described in the literature, the transfer
system separating the two has not been sufficiently investigated due to poor
seismic imaging and the lack of large-scale outcrops. This contribution aims
to address the linkage between basement-controlled (i.e. thick-skinned) and
salt-decoupled (i.e. thin-skinned) domains and to describe how deformation
is accommodated in the transitional zone between these domains. An
experimental programme based on analogue models has been designed that was
inspired by the transition from the thin-skinned Basque–Cantabrian
Pyrenees to the east to the thick-skinned Asturian Massif to the west. As
observed in nature, experimental results show that oblique structures (at
low angle with the shortening direction) form in the transitional domain,
and their location depends on the linkage of the active structures occurring
in both surrounding thick- and thin-skinned domains at different positions.
Nevertheless, their orientation and evolution are controlled by the
underlying decoupling horizon (i.e. salt). The deformation in the
thick-skinned domain produces significant topography over a narrow
deformation area due to the lack of effective decoupling levels. On the
contrary, deformation in the thin-skinned domain is more distributed due to
decoupling, resulting in a wider deformation area of less topography. As a
result, syn-contractional sedimentation occurs mainly in the foreland
basin in front of the thick-skinned domain, whereas it is observed in the
foreland but also in piggyback basins in the thin-skinned domain.
Clinical reporting for personalized cancer genomics requires extensive access to subscription-only literature
Authors: D'Souza Schnell , Downs Gregory , Hendrikx Shawn , Fazelzad Rouhi , Boldt Gabriel , Burns Karen , Chapman Darlene , Dawes Declan , Giannarakos Antonia , Oja Lori , Schorr Risa , Babb Maureen , Hodgson Amada , McEwan Jessica , Jacobs Pamela , Stockley Tracy , Tripp Tim , King Ian
Published: April 2023

Objective: Medical care for cancer is increasingly directed by genomic laboratory testing for alterations in the tumor genome that are significant for diagnosis, prognosis and therapy. Uniquely in medicine, providers must search the biomedical literature for each patient to determine the clinical significance of these alterations. Access to published scientific literature is frequently subject to high fees, with access limited to institutional subscriptions. We sought to investigate the degree to which the scientific literature is accessible to clinical cancer genomics providers, and the potential role of university and hospital system libraries in information access for cancer care.
Methods: We identified 265 journals that were accessed during the interpretation and reporting of clinical test results from 1,842 cancer patients at the University Health Network (Toronto, Canada). We determined the degree of open access for this set of clinically important literature, and for any journals not available through open access we surveyed subscription access at seven academic hospital systems and at their affiliated universities.
Results: This study found that nearly half (116/265) of journals have open access mandates that make articles freely available within one year of release. For the remaining subscription access journals, universities provided a uniformly high level of access, but access available through hospital system collections varied widely.
Conclusion: This study highlights the importance of different modes of access to the use of the scientific literature in clinical practice and points to challenges that must be overcome as genomic medicine grows in scale and complexity.
Fire resistance of external light gauge steel framed wall systems
Authors:   , Pancheti Jashnav
Published: April 2023

This research investigated the fire resistance of external light gauge steel framed walls with autoclaved aerated concrete panels, corrugated steel and brick veneer cladding using detailed experimental and numerical studies. Along with important thermal properties and the behaviour of claddings exposed to fire, fire resistance levels and energy efficiency ratings of these external walls and the influence of many parameters are presented, which will enable efficient and safe designs. Overall, this research has significantly enhanced the knowledge and understanding of the behaviour and design of external light steel walls with different cladding materials exposed to external or internal fires.
Sailing on the ark of Scopus: Narra J new journey
Authors: Welter Wendt Guilherme , Wagner Abram , Dhama Kuldeep , Harapan Harapan
Published: April 2023

Not available.
Evaluation and measurement of technological functions
Authors: Iatchevici Vadim
Published: April 2023

Technological transfer is an important factor of technological development and requires assessment and measurement of effects. Evaluation and measurement can be done with the use of models, the most important being the model of the technology, i.e. of the object being transferred. In the paper, a version of technological function's model is developed, starting from the models of interaction, establishing links, choosing the mechanism and forming the interaction interface, forming the technological function by modifying the internal functions of the objects in interaction and modifying the properties them. The modifications of the properties of the object subjected to the action, of the object carrying technological tasks and of the object-interface serves as the basis for the evaluation and measurement of the technological function in all its complexity. It is shown that technological task bearers can be of two categories: physical-technical (materials, energy, processes, etc.) and immaterial (theories, concepts, data, knowledge, etc.). Both the mechanisms and the measure of manifestation of the technological functions for the two categories are different.
National and international experience regarding development of bicycle infrastructure
Authors: Plămădeală Vasile , Goian Vladimir , Rusu Elena
Published: April 2023

Cyclists, together with pedestrians, as traffic participants, are the most vulnerable. Every year in the world over 40000 cyclists die on the roads, which represents approximately 3% of the number of people who died in road accidents. Ensuring the safety, including of these road users, must be part of the basic priorities of any country.The development of bicycle infrastructure brings social, economic and ecological benefits. The article presents a brief description and analysis of state programs in some countries and in Republic of Moldova (the city of Chisinau) regarding the development of cycling in urban road traffic.
Structure of polymer/clay nanocomposites, a molecular modelling perspective
Authors: Siminel Nikita
Published: April 2023

The search for renewable biodegradable materials to replace conventional oil-based plastics is a fast-growing research area as it provides an important factor for the sustainable growth of the packaging industry. In this regard, clay-containing composite materials have numerous current and potential commercial applications. However, the interaction between clay and polymer, i.e. Poly(ethylene glycol), is influenced by many factors, such as the nature of the clay, length and nature of the polymer chain, hence, in this work polymer/clay nanocomposite is studied both ex`perimentally and theoretically. Structural and thermodynamic properties of formulated nanocomposites are probed using XRD and TGA techniques and then compared with corresponding values derived from a series of Molecular Dynamics simulations of intercalated polymer/clay nanocomposites. For the first time, the developed potential models were able to predict realistic basal spacing of poly(ethylene glycol)/clay nanocomposite. The simulation also revealed the structure of the interlayer on a molecular level, which greatly benefited the understanding of the formation of polymer/clay coatings. The swelling dynamics, energetics and structure of the clay interlayers are examined. Particular attention is paid to the behaviour of polymer and water when they coexist in the clay interlayer.
Processing of microstructures of metal surfaces with chemical-thermal treatment in low voltage electrolytic plasma
Authors: Răileanu Daniela
Published: April 2023

The main reason for these researches is to solve the problem of intensification of the alloying process by electric sparks by increasing the energy of the electric pulses. In relation to this, the purpose and object of the research is the need to assume a new concept of organizing the alloying process in order to intensify the strengthening of metal surfaces, excluding the negative effects. Among the electrophysical methods of layer formation, a special place is occupied by alloying by electric sparks of metal surfaces, considering the multitude of its characteristic advantages, which are the following: high adhesion of the deposited coatings, the possibility of depositing coatings of any conductive materials, the simplicity of the process and the low consumption of energy for its implementation. The main results are that after the heating in the electrolyte, the cooling takes place in the air, then in the superficial layers of the samples treated in this way residual tensile stresses act. In conclusion, it is important to mention that through the combined processing the properties of the superficial layers and the exploitation characteristics can be controlled.
Traction capacity of rechargeable LFP batteries for trolleybus
Authors: Petrov Oleg
Published: April 2023

The article deals with the actual problem of reducing air pollution by internal combustion engines of public transport in urban and suburban traffic through the use of battery trolleybuses for passenger transportation. A method is proposed for calculating the capacity of batteries for the autonomous movement of trolleybuses, which can be used to calculate the required capacity of trolleybus batteries for use on city bus routes partially passing under the trolleybus overhead contact wires. The calculation of the required capacity of the lithium iron phosphate (LFP) battery for the operation of the battery trolleybus on the real bus route of the Chisinau municipality has been carried out.
New approaches to missing biomedical data recovery for machine learning
Authors: Iapăscurtă Victor , Fiodorov Ion
Published: April 2023

Missing data is a common problem for medical data sets, especially large ones. This issue is of major importance since it can influence the analysis and further use of the data, e.g., for machine learning purposes. There are various methods for recovering missing data.One such method is to remove observations with missing values, but this is not very usefulgiven the limited amount of data available. Another commonly used approach is the LastObservation Carried Forward (LOCF). But most such methods are not universal and may needadjustments to the data set at hand. This article describes the possibility of solving thisproblem in the case of multimodal time series of biomedical data coming from patients withsepsis. It describes and compares three approaches tailored to a sepsis dataset, which isanalyzed and finally used to build a sepsis prediction system based on clinical data routinelyrecorded in an intensive care unit.
Analysis of the use of geothermal heat pumps for heating and cooling of individual residential buildings
Authors: Danici-Guțul Vera , Guțul Vera
Published: April 2023

Today, humanity is beginning to realize the problem of the growing shortage of natural energy sources. The prices of these sources are rising uncontrollably and will continue to rise in the future. As the Republic of Moldova does not have its own fossil fuels fields and is totally dependent on foreign imports, the implementation of renewable energy sources technologies becomes vital. In this sense, the usage of closed type geothermal heat pumps with direct heat exchange in new and reconstructed residential buildings to replace traditional heating boilers is beneficial. They can be especially effective in areas where there are no gas supply pipelines. The purpose of the paper is to determine the perspectives of geothermal heat pumps using in residential buildings in the Republic of Moldova climatic conditions. Examples with implemented geothermal heat pumps and project solutions for heating/cooling and hot water supply systems for three individual residential buildings in the southern region of the Republic of Moldova were analyzed for task implementation. During the 2020-2021 heating season, it was not necessary to use the additional reserve heat source for the examined objects.
Reducing the risk of spoilage caused by Bacillus cereus in cow's and goat's milk yogurt with berries puree
Authors: Cușmenco Tatiana , Sandulachi Elisaveta , Bulgaru Viorica , Macari Artur , Netreba Natalia , Sandu Iuliana , Dianu Irina
Published: April 2023

The objective of this study was to investigate the impact of adding aronia (Aronia melenocarpa), raspberry (Rubus idaeus), and strawberry (Fragaria xananassa) in the form of 10% puree to a mixture of cow's and goat's milk in order to reduce the risk of spoilage caused by activity of Bacillus cereus in yoghurt made from a mixture of cow's and goat's milk. During the fermentation process (360 min.), changes in water activity, pH, moisture content, bacterial growth curve were monitored. The results showed a decrease in water activity, pH, and moisture content. Adding aronia puree to yoghurt yielded the most significant results for water activity modification (0.971-0.868), pH (5.31-4.28), moisture content (85.12-81.55 %), and optical density (0.19-0.34). Also, the investigation of the kinetics of the Bacillus cereus grows indicated that the stationary phase was reached at 360 minutes, resulting in a total population of 5.5·1013 c.f.u./g. Microscopic examination revealed Gram-positive strains of lactic acid bacteria, arranged in chains of varying lengths, in an amount of 139·102 c.f.u./g. Antimicrobial activity showed a zone of inhibition with a diameter of 18.5±0.1 mm in aronia yoghurt, a zone of inhibition with a diameter of 16.2±0.2 mm in raspberry yoghurt and a zone of inhibition with a diameter of 15.2±0.1 mm in strawberry yoghurt compared to classic yoghurt which showed a zone of inhibition with a diameter of 12.1±0.2 mm.
Drying of pears in CO2 modified atmosphere
Authors: Melenciuc Mihail
Published: April 2023

One of the biggest problem encountered in drying area of food processing are the losses in food quality. While drying process is held, there is an important damage done to vitamins, polyphenols and other important nutriments. Being easily affected by high temperature and oxygen exposure, our concern was to find out what will be the effect of convective drying in air flow and CO2 modified atmosphere upon pears, “Conference” variety quality. Testing took place with temperatures between 60 and 100°C for both drying methods, one also used three different CO2 concentration regimes for the modified atmosphere approach, namely 30, 60, and 80%. The usage of carbon dioxide instead of air inside the drying chamber is expected to reduce oxygen exposure of the product during drying process, thus reducing oxidative reactions. Using CO2 as air substituent for convective drying showed good results from the organoleptic point of view by preserving a more natural pear color closer to the row material one, reduced damage done to ascorbic acid and total polyphenols concentration presumably thanks to reducing oxygen concentration and a slight drying duration reduction. There was deducted and established a mathematical model for the convective modified CO2 drying atmosphere as well as a pilot drying installation was designed for combined dying methods equipped with a CO2 recycling system.
Model of statistical data analysis on nitrogen content in soybeans (Glicine Max Merrill) in Clavera variety
Authors: Ganea Ion
Published: April 2023

Climate change, drought and high temperatures lately have led to the need to increase the adaptation capacities of plants to these changes. The purpose of the research is to gain knowledge regarding the influence of the biologically active substances Reglalg (compound of algal nature) and Biovit (compound of humic nature) on plant development, productivity and adaptation of plants to new climatic conditions. The research was based on decision support systems, machine learning and graph databases. These systems allow in-depth processing of unstructured data and making the necessary decisions. In this sense, an intelligent model was developed for the processing of biological data as part of a Decision Support System. For data analysis and knowledge generation, a graph database was developed to determine relationships and connections between entities, phenomena or events. Graphs allow the representation of complex information in a simple and intuitive way, which makes it easier to perform and analyze them. The use of Machine Learning methods allows the highlighting of laws and interactions between different elements, which can lead to the discovery of patterns and trends that can be easily identified. The paper presents the structure and functions of some components of the decision support system for the study of nitrogen content in soybean.
role of basil, thyme and tarragon in reducing the content of nitrite in meat products
Authors: Sandulachi Elisaveta , Macari Artur , Bulgaru Viorica , Ghendov-Mosanu Aliona , Sturza Rodica
Published: April 2023

Reducing the content of nitrites and nitrates in food, including meat and meat products is a current issue. More and more studies are being done to reduce these synthetic food additives by using vegetative additives. This paper examines the issue of reducing nitrite content in meat products. The role of the basil, thyme and tarragon on nitrites and nitrates content in meat products is presented. The study showed the possibility of reducing the content of nitrites and nitrates in Lacta sausages, by using basil extract (BE 0,1%) by 0.4-0.94%, (BE 0.2%) by 0.80-1.88%. (BE 0.3%) by 1.20-2.82%; by thyme extract (ThE 0.1%) by 0.56-071%, (ThE 0.2%) by 1.12-1.42%, (ThE 0.3%) by 1.68-2.13%; by tarragon extract (TE 0.1%) by 0,08-0.66%, (TE 0.2%) by 1.16-1.32. (TE 0.3%) by 0.24-1.98%, maintaining the quality and safety of meat products.