bluuebunny/crossref_metadata_2025 huggingface dataset:
DATA FUSION FOR CONSTRUCTION MONITORING: HOW LEICA INFINITY MANAGES IMAGES, GNSS DATA, TERRESTRIAL SCANS AND BIM DATA TO EFFICIENTLY TRACK COMPLEX CONSTRUCTION SITES
Authors: Di Rita M. , Hanson K.
Published: May 2022

Abstract. This work explores the importance of properly handling the big variety and amount of measurements data that nowadays can be more and more easily acquired. In fact, in the last decades a new challenge took hold: the academic and industrial focus, in the most different fields, extended from developing new technologies to acquire data and more accurate ways to process it, to also developing software environments to properly handle and process the big amount and large variety of available data. In surveying, when the size and the complexity of the site requires the acquisition of diverse data and the usage of different kind of devices, working in different coordinate systems and operated by multiple people, data process and interpretation is much more error prone. When surveying a complex construction site, early identification of deviations from the design during the construction phase is crucial and has as well a big impact on the project's economic budget. Building Information Modelling (BIM) is the accepted standard for managing information for an asset, and for the construction phase it provides working from a common visualisation of the as-planned model in a 3D environment. The as-built model is generated from a large variety of acquired data, especially when site complexity requires a high level of data integration. Data are usually acquired using GNSS receivers, Terrestrial Laser Scanners (TLS), Total Stations (TS), Digital Levels, and Aerial and Terrestrial photogrammetric devices. Specifically, over the last decade Unmanned Aerial Vehicles (UAV) have been proving their importance also in construction progress and quality monitoring, thanks to their relative easiness of use and the overview they can provide over the construction site. In this work, the value of merging and processing in a single software environment different data sources to reduce errors and get geodetically relevant data is analysed. Specifically, Leica Infinity, a specialised software able to bring various data sources together for working in a common reference frame, is investigated and its effectiveness and efficiency proved for monitoring a complex construction site. The advantages of an integrated data acquisition and process, and in particular the contribution of UAV data in construction site monitoring, both from an accuracy and completeness standpoint, are also assessed.
SAT2LOD2: A SOFTWARE FOR AUTOMATED LOD-2 BUILDING RECONSTRUCTION FROM SATELLITE-DERIVED ORTHOPHOTO AND DIGITAL SURFACE MODEL
Authors: Gui S. , Qin R. , Tang Y.
Published: May 2022

Abstract. Deriving LoD2 models from orthophoto and digital surface models (DSM) reconstructed from satellite images is a challenging task. Existing solutions are mostly system approaches that require complicated step-wise processes, including not only heuristic geometric operations, but also high-level steps such as machine learning-based semantic segmentation and building detection. Here in this paper, we describe an open-source tool, called SAT2LOD2, built based on a minorly modified version of our recently published work. SAT2LoD2 is a fully open-source and GUI (Graphics User Interface) based software, coded in Python, which takes an orthophoto and DSM as inputs, and outputs individual building models, and it can additionally take road network shapefiles, and customized classification maps to further improve the reconstruction results. We further improve the robustness of the method by 1) intergrading building segmentation based on HRNetV2 into our software; and 2) having implemented a decision strategy to identify complex buildings and directly generate mesh to avoid erroneous LoD2 reconstruction from a system point of view. The software can process a moderate level of data (around 5000*5000 size of orthophoto and DSM) using a PC with a graphics card supporting CUDA. Furthermore, the GUI is self-contained and stores the intermediate processing results facilitating researchers to learn the process easily and reuse intermediate files as needed. The updated codes and software are available under this GitHub page: https://github.com/GDAOSU/LOD2BuildingModel.
AUTOMATIC EXTRACTION OF FACADES AND WINDOWS FROM MLS POINT CLOUDS USING VOXELSPACE AND VISIBILITY ANALYSIS
Authors: Hoegner L. , Gleixner G.
Published: May 2022

Abstract. This contribution presents a method for extracting a 3D model of facades and windows from a point cloud. The point cloud is segmented based on a voxel octree, in which the facades are sought as planes. These can be used to filter out potential window points within the building, which are then analysed on their visibility by checking the occupancy grid of the voxel space. Here, methods of digital image processing are used for analysing both point clusters behind the facade and holes in the estimated facade planes as window candidates. Facades and windows are both simplified as rectangles. The test data set was gathered in a Mobile Laser Scanning campaign. While the segmentation fails in some cases, the extraction of facades and windows shows good results: 25 facades with 702 detected windows yield a detection rate of 86% with a false alarm rate of 13%. The reconstructed sizes of the windows differ from reference measurements in the range of centimetres to a few decimetres. These refined geometries can be used to enrich existing building models or for vehicle navigation without GNSS.
ACCURACY INVESTIGATIONS OF HAND-HELD SCANNING SYSTEMS USING DIFFERENT DUMBBELL ARTEFACTS
Authors: Kalinowski P. , Hindmarch J. , Luhmann T.
Published: May 2022

Abstract. The use of hand-held 3D scanning systems is becoming increasingly widespread in both the industrial and cultural sectors, and, particularly in the cultural sector, the systems are sometimes used by non-specialists. At the same time, the surface of cultural objects has a wide variety of textural properties. It is therefore of great importance that the measuring systems meet qualitative standards. For this purpose, the Creaform GO!Scan, Artec Eva and Artec Spider are compared in absolute terms of accuracy using a calibrated textured spherical dumbbell in accordance with the VDI 2634 guidelines. Both GO!Scan (sphere spacing error SD = 0.03 mm) and Eva (SD = 0.03 mm) meet the expected accuracy, while the Spider (SD = 0.3 mm) does not. Furthermore, a relative comparison is made with dumbbell bars with different texture properties. The probing error form (maximum range of residuals to the best-fit sphere) was able to reveal the effects of different texture properties on surface noise for both the Artec Eva and the Artec Spider. The Spider had larger margins for the metal sphere, while the Eva had larger margins for the textured sphere. In the case of the GO!Scan, texture properties did not matter. Furthermore, the scanners were tested on a cultural reference object. The quality standards of the VDI examination were achieved on average for every scan system, but this cannot be guaranteed for complex object areas.
UAVS FOR A COMPLETE TOPOGRAPHIC SURVEY
Authors: Perera G. S. N. , Nalani H. A.
Published: May 2022

Abstract. With the advancement of sensor technology, unmanned aerial vehicles (UAVs) or drones revolutionize several fields including topographic surveying, agriculture, recreation, emergency, rescue and so on. The autonomous flight modes available in current UAVs make it broaden to manoeuvring by an unskilled person. This, of course, causes to widely use the drone technology among different user communities. Of the revolutionized fields, topographic surveying is prominent because many low cost UAVs with on-board light weight optical payloads often deliver mapping products such as ortho-photos and DEMs with centimetre level accuracy (in XY and Z) that had been exclusively bounded to the expensive field surveying methods earlier. Though drones enables to obtain centimetre level geometric accuracy, the main drawback of the technology is inability to see underneath vegetation canopy which hinders applicability of drones for a complete topographical survey. In order to view beneath the tree canopies, UAV LiDAR is a solution but due to its high cost, it is still not popular among several communities who involve with land surveying. To measure underside vegetation, field surveying methods such as total stations and theodolites traversing are being mainly practised by the users. But it is also not a viable solution since it consumes much time and money. If remotely sensed data collection is able to capture landscapes that had been hampers by the canopies, definitely it will be a cost effective and a rapid solution. As such, oblique imagery (UAV) acquired in manual flight mode at very low altitudes is a good solution. The objective of the study is to develop a novel approach to generate UAV deliveries without vegetation canopy in vegetated areas.First, autonomous flight mission is completed while maintaining 80% and 70% forward and lateral overlaps. For the terrain patches where they are covered by tree canopies, oblique imageries have been collected while operating the drone manually at low altitudes. Each UAV flight is separately processed and merged in to a single image to extract 2D maps without gaps beneath tree canopies. Re-sampling is fulfilled prior to stitching in order to gain a seamless product. Performed accuracy analysis confirmed that the developed approach is sufficient to produce DTMs and ortho-mosaics having average RMSE-XY 0.087m and RMSE-Z 0.177m at 4.0cm GSD which is really acceptable. Besides, there is not any significant accuracy variation between underneath canopy areas and open areas.
PHOTOGRAMMETRIC 3D MEASUREMENTS IN FORESTS WITH ACTION CAMERAS
Authors: Pinhal A. , Gonçalves J. A.
Published: May 2022

Abstract. This paper presents a study of the application of action cameras, such as the GoPro, for the extraction of 3D models in a forest environment. These cameras are very small and can be used by any operator, even in other forestry works, to collect imagery for photogrammetric post processing. The method implemented uses the Structure from Motion approach in order to obtain the 3D model. The model becomes georeferenced by means of the camera positions which are recorded by the camera navigation GPS receiver. The aim of the study is to assess the geometric accuracy of such methodology, especially in relative terms, in the evaluation of object dimensions. Several tests were carried out both in open sky and under trees, with worse conditions for GPS positioning. The results pointed to scale accuracy of around 3%, which may be acceptable for many applications. Accuracy can be improved by using a scale bar of known length placed in the scene. The method is intended to be used in tree measurements for forest inventory or other outdoor measuring.
HIERARCHICAL AERIAL TRIANGULATION OF OBLIQUE IMAGE DATA
Authors: Gehrke S. , Müller M. , Kukla M. , Beshah B.
Published: May 2022

Abstract. Oblique imaging sensor systems are becoming a standard for photogrammetric applications such as city modeling, with increasing need for frequently updated geospatial data in urban areas. The ground processing software has to consider and support this develop-ment, providing a highly performant workflow for projects that can consist of tens or hundreds of thousands of images in different view angles: nadir (vertical), left, right, backward, forward. This is a challenge also for the oblique aerial triangulation (AT), both the large number of images to process and the high amount of overlap in-between them, where more than 50 image measurements for a given ground point are common.At the same time, the large overlap even in a single view generally provides stable sub-blocks for each viewing direction and, therefore, allows for separating the oblique AT by view and performing a hierarchical approach: The nadir block is triangulated first, updating the exterior orientation parameters of all nadir images and providing adjusted ground points. This nadir reference can be used to tie the oblique views’ sub-blocks in subsequent AT runs to eventually provide adjusted exterior orientations for all images, with comparable accuracy to an integrated AT – but providing a significant performance gain. The hierarchical AT is a three-step approach: 1. adjust-ment of the nadir imagery, 2. adjustment of each oblique views independently by cardinal direction (East, West, North, South) while tying it to the nadir reference, and 3. computation of combined statistics and report.The paper details our AT approach and evaluates its parameterization for different oblique data sets, comparing results and performance to a fully integrated AT.
ANALYSIS OF GROUND SAMPLING DISTANCE OF CONVERGENT IMAGES FOR KEYPOINTS DETECTION FOR CLOSE-RANGE PHOTOGRAMMETRY
Authors: Utla C. S. , Dashora A. , Chandrasekhar Reddy L. , Kulkarni A. V.
Published: May 2022

Abstract. Keypoint detection for image matching is an important step in close range photogrammetry. It essentially depends upon ground sampling distance (GSD) of an image. For a convergent image, GSD variations on the either side of image axis are not equal. Moreover, GSD also varies according to camera position placed at constant distance from an object. This paper investigates and analyses the GSDs of convergent images for various geometrical configurations of camera positions on a circular arc for a building corner. GSD expressions and rates of GSD change are derived for left and right edges of a convergent image. Both GSD and rate of GSD change are characterized by non-linear mathematical functions of camera FOV, and its position on circular for a given corner. Experiments are conducted to acquire varying number of convergent images on circular arcs of different radius. Keypoints for convergent images are influenced more by rate of GSD change than the GSD. The study determines a critical value of 28 for rate of GSD change. The correct matching of keypoints in two images is limited within FOVs corresponding to the critical value. An example demonstrating the correct keypoint matching for two images is presented.
TRANSFER LEARNING IN THE CLASSIFICATION OF SATELLITE IMAGES SHOWING AMAZON RAINFOREST
Authors: Karwowska K.
Published: May 2022

Abstract. In recent years, we have been dealing with the dynamic technological progress of the space sector, which allows for the observation of the Earth with better temporal, spatial and spectral resolution. The increasing availability of satellite data has contributed to the development of data processing algorithms. Thanks to the use of digital image processing methods and deep neural networks, it is possible to perform automatic image classification, segmentation or detection and recognition of objects on the images. This article presents the methodology that allows to accelerate the classification process of satellite images representing the Amazon rainforest based on the Transfer Learning method. Additionally, the influence of the choice of optimization, i.e. the network weight estimation strategy, on the classification of objects was checked. In order to verify the method, an additional raster image classifier was created on the basis of Lidar data. Research shows that the transfer learning method allows the preparation of an image classifier based on a small database (less than 100 images representing one class). The network training process can be shortened to a few minutes.
CREATION OF SOIL PERMEABILITY MAPS TROUGH OBIA CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGES
Authors: Perregrini D. , Casella V.
Published: May 2022

Abstract. In the last few months, we have been working on images acquired by the WorldView3 satellite over the city of Pavia with the final intent to create a soil permeability map. These maps can be particularly useful in various fields, such as water management and public green, for evaluate the correlation between overbuilt areas and pollution, the influence of vegetation on the temperature in within the different areas of the city, for the planning and monitoring of a sustainable transition of cities. To create such maps, it is essential to be able to identify various objects lying in the images, in our case we have done a classification of the image using the software Trimble eCognition™, applying Object-based Image Analysis (OBIA) approach and various classification methods, by applying fuzzy logic and supervised classification. The objects generated through various segmentations have been classified into 7 classes, water, fields, cultivated fields / low vegetation, high vegetation, roads, red roofs, and white roofs. And from the comparison with the manually defined ground truth, an overall accuracy degree of 80% was achieved. Furthermore, by applying various aggregation strategies, by combining the cultivated fields / low vegetation and high vegetation classes, we achieved a better overall accuracy of 91%.
The role of preconditioning for extreme storm surges in the western Baltic Sea
Authors: Andrée Elin , Su Jian , Dahl Larsen Morten Andreas , Drews Martin , Stendel Martin , Skovgaard Madsen Kristine
Published: May 2022

Abstract. When natural hazards interact in compound events, they may reinforce each other. This is a concern today and in the light of climate change. In the case of coastal flooding, sea-level variability due to tides, seasonal to inter-annual salinity and temperature variations or larger--scale wind conditions modify the development and ramifications of extreme sea levels. Here, we explore how prior conditions influence peak water levels for the devastating coastal flooding event in the western Baltic Sea in 1872. By imposing a range of antecedent conditions in numerical ocean model simulations, we quantify the change in peak water levels that arise due to alternative preconditioning of the sea level before the storm surge. Our results show that different preconditioning could have generated even more catastrophic impacts. As an example, a simulated increase of 36 cm compared to the 1872 event was seen in Køge just south of the Danish capital region – a region that was already severely impacted. The increased water levels caused by the alternative water mass distributions propagate until encountering shallow and narrow straits, thereafter the effect vastly decreases. Adding artificial increases in wind speeds to each study point location reveals a near-linear relationship with peak water levels for all Western Baltic locations highlighting the need for good assessments of future wind extremes. Our research indicates that a more hybrid approach to analysing compound events, and readjusting our present warning system to a more contextualised framework, might provide a firmer foundation for climate adaptation and disaster risk management.
Evolutionary pathways in soil-landscape evolution models
Authors: van der Meij W. Marijn
Published: May 2022

Abstract. Soils and landscapes can show complex, nonlinear evolution, especially under changing climate or land use. Soil-landscape evolution models (SLEMs)
are increasingly equipped to simulate the development of soils and
landscapes over long timescales under these changing drivers, but provide large data output that can be difficult to interpret and communicate. New tools are required to analyze and visualize large model outputs. In this work, I show how spatial and temporal trends in previously published
model results can be analyzed and visualized with evolutionary pathways,
which are possible trajectories of the development of soils. Simulated
differences in rainfall and land use control progressive or regressive soil
development and convergence or divergence of the soil pattern. These changes
are illustrated with real-world examples of soil development and soil
complexity. The use of evolutionary pathways for analyzing the results of SLEMs is not
limited to the examples in this paper, but they can be used on a wide
variety of soil properties, soil pattern statistics and models. With that,
evolutionary pathways provide a promising tool to analyze and visualize soil
model output, not only for studying past changes in soils, but also for
evaluating future spatial and temporal effects of soil management practices
in the context of sustainability.
İSLAM HUKUKUNDA AV, AVCILIK VE BAZI GÜNCEL PROBLEMLER
Authors: BORAN Mustafa
Published: May 2022

İslam hukukunda avlanmak Kitap, Sünnet ve icmâ ile mubah sayılmıştır. Mubah; yapılmasında bir sakınca olmayan, yapılmadığı zaman da bir günah terettüp etmeyen hususlardır. Meşru ölçüler içerisinde avcılık caiz görülmüştür. Ancak gereksiz yere avlanmak, istifade kastı olmadan av hayvanını vurmak caiz görülmemiştir. Fıkıh kitaplarımızda av ve avcılık ile ilgili hükümler genişçe ele alınmıştır. Avlanacak hayvan, avlanan kimse, eğitilmiş hayvan ile avcılık konularında hükümler belirlenmiştir. Avcılığın hayvan kesimi ile ilgisi vardır. Dinimiz öldürmeyi değil, yaşatmayı esas alır. Hayvanların da belirli bir süre yaşama hakkı vardır. Ayrıca dinimizde hayvan sevgisi, hayvanlara ve bütün canlılara merhamet esas alınmıştır. Avcılığa bu esaslar çerçevesinde sınırlı izin verilmiştir. Bugün modern kanun metinlerinde de avcılık konusunda sınırlamalar, belli şartlar konulmuştur. Avcılığa ruhsat verilmesinin en önemli sebeplerinden birisi gıda ihtiyacını karşılamaktır. Günümüzde avcılık ile et ihtiyacını karşılamak pek mümkün görünmemektedir. Tam tersine bugün yaban hayvanlarının yaşam alanlarına müdahale, aşırı avlanma gibi sebeplerle yaban hayatı tehlikeye girmiştir. Bazı hayvan türlerinin nesli tükenmiş, bazısı da tükenmek üzeredir. Bu sebeple kara avcılığı sınırlı kalmıştır. Denizlerde su ürünlerinin birçoğu aşırı avlanma ile tehlike altında kalmıştır. Ayrıca denizlerde meydana gelen aşırı kirlilik deniz ürünlerine de yansımaktadır. Bu sebeple çevreyi temiz tutmak ve atık suları ileri derecede arıtmak lazım gelmektedir. Günümüzde avcılık konusunda meydana gelen bu gelişmeler çerçevesinde alan son derece daralmıştır. Bu makalede, av ve avcılık konuları İslam hukuku çerçevesinde ele alınarak hayvan sevgisi ve çevre gibi güncel bazı değerlendirmelere de kısaca yer verilmiştir.
Community Empowerment Efforts
Authors: Hikmawati Nur Kholifatul
Published: May 2022

Empowering the community is an effort to increase the dignity of the grass root, which with all its limitations has not been able to escape the trap of poverty, ignorance and backwardness, so that community empowerment is not only strengthening individuals but also existing social institutions. Instilling modern cultural values ​​such as hard work, frugality, openness, responsibility is an important part of empowerment efforts. Indeed, community empowerment is based on the principle of how a society can be completely independent on the many shortcomings that exist so that it becomes self-potential in empowering the community both socially, economically, thinking and all aspects of life. Community development is based on the ideal that people can and should take responsibility for formulating needs, seeking prosperity, managing natural and human resources and realizing their own life goals.
Living Sufism in SIHATSU (Silat Hati Suci): Practices and Impact
Authors: Sholihah Alvi Nour
Published: May 2022

This article discusses one of the phenomena in Gresik Regency, precisely in Bunga District, there is an inner power silat school called Sihatsu in which it only teaches three movements that begin with filling different from martial arts schools in general. This study used a qualitative method with a phenomenological approach to field research which found elements of living sufism in this college, namely the Sihatsu college based on the Qadiriyah wan Naqsabandiyah al-Utsmaniyah tarekat, this is because the teachers from this college are direct students of Syekh Utsman al-Ishaqy (murshid tarekat. Qadiriyah Wan Naqsabandiyah in Surabaya). The teachings that are required for students of this college are Riyadhah and Mujahadah bersanad from Sheikh Uthman al-Ishaqy. From Mujahadah and Riyadhah each student can pour it into medicine by using verses of the al-Qur'an or commonly known as Sufi Healing.
Efforts to Increase Student Learning Activity in Materials Strengthen National Commitment in Online Learning Through Quizizz Educational Game Media in the New Normal Era
Authors: Purwanto Arif
Published: May 2022

This study aims to determine the process and results of increasing student learning activity in online learning in the new normal era on the material to strengthen national commitment through the Quizizz Educational Game Media. Methods of data collection in the form of observation, questionnaires, and tests. Observations and questionnaires were used to determine the increase in student learning activities in learning and evaluation tests were used to determine student achievement in the material to strengthen national commitment. Based on the results of observations, student learning activities and achievements have increased significantly. Based on student response questionnaires on the use of educational game media quizizz in learning shows that students' responses in learning increase. Thus, overall, the application of quizizz educational game learning media can increase student activity and learning outcomes in Civics learning on materials to strengthen national commitment in this new normal era. For this reason, it is recommended, especially for PPkn’s teachers, the results of this study should be used as information and references in the development of education so that they become creative and innovative learning alternatives
Diarios españoles en Facebook y engagement: temas, valores noticiosos, sensacionalismo y reacciones emocionales
Authors: Segado Boj Francisco , Chaparro-Domínguez María-Ángeles , González-Aguilar Juan-Manuel
Published: May 2022

Esta investigación analiza la relación entre los temas, valores noticiosos y presencia de sensacionalismo en noticias publicadas en Facebook y el nivel de interacción de los usuarios. Para ello se lleva a cabo un análisis de contenido (n=2.821) de mensajes publicados en Facebook por seis diarios españoles (El País, El Mundo, La Vanguardia, El Confidencial, El Diario y El Español). Se han identificado diferentes tendencias para distintas facetas de la interacción (compartir, "Me gusta”, comentar y reacciones emocionales). Los comentarios se relacionan con noticias sobre gobierno y partidos políticos y con artículos centrados en la proximidad, la actualidad, la relevancia social, la utilidad y la élite. Los "Me gusta" son más frecuentes en artículos deportivos, mientras que los artículos más compartidos muestran una presencia significativa de rasgos sensacionalistas. Se propone que investigaciones posteriores analicen otras categorías temáticas para proporcionar un análisis más amplio del fenómeno del engagement de las noticias.
Plataformas digitales y bulos en salud: el caso de #SaludSinBulos
Authors: Ballesteros-Aguayo Lucia , Chaparro Escudero Manuel
Published: May 2022

La proliferación de mensajes temáticos en el ecosistema digital y la multiplicación de nuevos soportes comunicativos sanitarios son claros ejemplos de la emergencia de un periodismo sanitario en expansión. Este trabajo persigue mostrar la necesaria incorporación de mecanismos para luchar contra la desinformación a partir del estudio de casos de #SaludSinBulos como una de las iniciativas más significativas puesta en marcha por equipos multidisciplinares formados por sanitarios y profesionales de la comunicación, entre otros, para combatir los bulos en salud. Al mismo tiempo, se examinan las campañas de concienciación ciudadana más recientes lideradas por #SaludSinBulos como son el concurso de monólogos #VacunasSinBulos en la aplicación TikTok o #SaludInfantilsinBulos para padres millennials.
Medición del pluralismo informativo en la TV chilena: propuesta y resultados de aplicación de un instrumento multidimensional de análisis
Authors: Sáez Chiara , Avilés Jorge , Riffo Felipe , García Javier , Jiménez Juan , Breull Luis
Published: May 2022

El artículo presenta una propuesta multidimensional de medición del pluralismo informativo en distintos programas de TV abierta: noticieros, matinales y programas de opinión y debate, así como los resultados de su aplicación en el contexto chileno. Para ello se propone un instrumento de 6 dimensiones: diversidad, editorialidad, concentración, propiedad, percepción y alcance. La hipótesis es que una adecuada medición del pluralismo televisivo requiere de distintas dimensiones de análisis, que incluyen aspectos de la programación, de las audiencias y de la televisión como mercado. Tras ser probado con tres muestras distintas en el tiempo, la aplicación del instrumento arroja como resultado un bajo pluralismo en los programas analizados que se expresa en la homogeneidad de contenidos (temas, fuentes, partidos políticos), en un contexto de alta concentración de la audiencia y la inversión publicitaria en los canales con peor puntaje. Estos hallazgos plantean preguntas y propuestas para la institucionalidad reguladora del sector en el actual escenario de cambio constitucional.
Twitter como herramienta de comunicación de emergencias: análisis de los perfiles institucionales y propuestas de mejora a partir de los atentados de Barcelona y Cambrils de 2017
Authors: Suau Gomila Guillem , Rodríguez Michael Mora , Pont-Sorribes Carles
Published: May 2022

El presente trabajo analiza la gestión comunicativa en Twitter de los atentados terroristas ocurridos en La Rambla de Barcelona y en Cambrils los días 17 y 18 de agosto de 2017. Se investiga el uso que hicieron de la plataforma las instituciones públicas competentes encargadas de la gestión de la emergencia. El análisis se focaliza en el período comprendido entre el 17 y el 24 de agosto. El estudio emplea metodología mixta, usando como principales técnicas de investigación el análisis cuantitativo de las métricas de Twitter y el análisis de contenido. Se concluye que Protección Civil y Mossos de Esquadra fueron los mayores gestores de la crisis. Pero, los perfiles de Policía Nacional, Guardia Civil y del Ministerio del Interior fueron los que obtuvieron mayor viralidad. Finalmente, se debe destacar que la información que transmitieron los perfiles político-institucionales como la Consejería de Interior y los ministerios fue de poco interés ciudadano, cayendo en la ‘sobreexposición de la política’.
La imagen de los millennials a través de los perfiles de Twitter de los diarios españoles de referencia
Authors: López-Martín Álvaro , García-Borrego Manuel
Published: May 2022

En este artículo se analizan todos los tuits referidos a los millennials publicados en los perfiles de Twitter de los diarios españoles El País, El Mundo, ABC y eldiario.es entre el 1 de enero de 2017 y el 30 de junio de 2021 (n=270) con el propósito de explorar de qué manera se representa mediáticamente a este colectivo. Los resultados muestran que los rotativos abordan predominantemente asuntos suaves (soft news) al referirse a los jóvenes, lo que, junto a la habitual atribución de estereotipos negativos, contribuye a la construcción de una imagen desfavorable de los millennials. Una tendencia que, en líneas generales, es común en los cuatro medios. Estos hallazgos contrastan con las preferencias de la audiencia de Twitter, ya que, como queda patente, los mensajes sobre hard news y aquellos en los que no se atribuyen rasgos son los que generan una mayor interacción.
Effective typification of Avena pubescens (Poaceae; Pooideae)
Authors: Ferrer Gallego Pedro Pablo
Published: May 2022

Avena pubescens Hudson was previously considered to have been “neotypified” by Röser in 1995 from a specimen preserved at WU herbarium (Wien). However, there is an original element that was included and cited in the protologue. Therefore, the typification by Röser is here briefly discussed and superseded because is being contrary to Art. 9.8 of the International code of nomenclature for algae, fungi, and plants (Shenzhen Code). The name is lectotypified in this paper with an illustration published by Ray in 1724. In addition, for a precise circumscription of the name, an epitype is proposed from a complete and well preserved specimen at WU.
Study on Tillage Quality and Energy Requirement of ‘L’ and ‘C’ Profile Rotary Tiller Blades for Clayey Soil of Sikkim under Soil Bin Condition
Authors: Ph. W. Kulaya  , S. N. Yadav
Published: May 2022

influencing the energy requirement and tillage quality of rotary tillers. In the present study, the operating parameters like blade profile, forward speed (Fs), rotary speed (Rs), and operating depth (Do) were optimized with respect to energy requirement (ER) and tillage quality in terms of soil mean mass diameter (SMMD). Twenty experiments for each blade with 3 replications as per experimental design obtained using response surface methodology were conducted under controlled conditions in a soil bin. It was observed that forward speed, rotary speed, and depth of operation significantly affected the tillage quality. The lowest SMMD (0.97 mm) was observed for ‘C’ profile blade at 1.5 km.h-1 Fs, 500 rpm Rs, and 80 mm Do. The minimum energy requirement (2,200.43 kJ.ha-1) was observed for ‘L’ shape blade at 1.5 km.h-1 Fs, 300 rpm Rs, and 80 mm Do. The effect of depth of operation was significant on energy requirement for both types of blades. The minimum energy requirement for both types of blades was at 1.5 km.h-1 Fs, 300 rpm Rs, and 80 mm Do. The optimum values of operating parameters for C-type blade were 1.2 km.h-1 Fs, 382 rpm Rs, and 66 mm Do correspond to SMMD of 0.97 mm and ER of 3813.7 kJ.ha-1. In case of L-type blade, the optimum values were 1.2 km.h-1 Fs, 320 rpm Rs, and 66 mm Do correspond to optimum SMMD of 1.03 mm and ER of 3414.2 kJ.ha-1.
Involvement of the cannabinoid system in chronic inflammatory intestinal diseases: opportunities for new therapies
Authors: Lima Priscila A. , Berg Bárbara B. , Castor Marina Gomes Miranda e
Published: May 2022

The components of the endogenous cannabinoid system are widely expressed in the gastrointestinal tract contributing to local homeostasis. In general, cannabinoids exert inhibitory actions in the gastrointestinal tract, inducing anti-inflammatory, antiemetic, antisecretory, and antiproliferative effects. Therefore, cannabinoids are interesting pharmacological compounds for the treatment of several acute intestinal disorders, such as dysmotility, emesis, and abdominal pain. Likewise, the role of cannabinoids in the treatment of chronic intestinal diseases, such as irritable bowel syndrome and inflammatory bowel disease, is also under investigation. Patients with chronic intestinal inflammatory diseases present impaired quality of life, and mental health issues are commonly associated with long-term chronic diseases. The complex pathophysiology of these diseases contributes to difficulties in diagnosis and, therefore, in the choice of a satisfactory treatment. Thus, this article reviews the involvement of the cannabinoid system in chronic inflammatory diseases that affect the gastrointestinal tract and highlights possible therapeutic approaches related to the use of cannabinoids.
The Relationship Between Nurses' Way of Expressing The Meaning and Purpose of Life and Their Belief in the Transformative Power of Suffering
Authors: YORULMAZ Rukiye , YILDIRIM GÜRKAN Dilek , ÇİMKE Sevim , ESENKAYA Derya
Published: May 2022

This study aims to present the relationship among nurses' expressions of the meaning and purpose of life and their belief in the transformative power of suffering. 446 nurses working in two separate hospitals participated in the study. In the data collection, the Transformative Power of Suffering Scale and the Meaning and Purpose of Life Scale were employed. The study concluded that the nurses working in a city hospital, married, and working in the profession for four years or more, find life more meaningful. There was no statistical difference between the transformative power of suffering and demographic variables. A moderate positive relationship between the Meaning of Life scale sub-dimension and the Transformative Power of Suffering Scale and a weak relationship in the negative direction with the meaninglessness of life sub-dimension was discovered. It can be concluded that all of the nurses believe that pain has a transformative power and that the institution they work in and their working time are effective in their outlook on life.
Seeing across Disciplines: The Book of Selected Readings 2022
Authors: Huang Wanju , Okan Lee , Rodrigues Filipa
Published: May 2022

The International Visual Literacy Association Book of Selected Readings 2022
Visual Learning and Multiple Temporalities
Authors: de Oliveira Juliana Ferreira , Bueno Juliana
Published: May 2022

The articulation between different temporalities and spatialities is an important field of discussion for understanding historical information. When considering the Brazilian high school context, specifically the humanities curriculum, this paper discusses the use of a didactic tool for visualizing temporality to enhance the visual literacy of teachers and students as primary and secondary target groups, especially from a synchronic-diachronic perception of historical time. We investigate how the articulation of the multiplicities of time and space might mediate strategies for teaching and learning history, considering visual language in a currently changing curriculum for high school. To this end, we briefly describe the tool’s design in the previous phases of our research and its connection to curricular demands, data visualization, and traditional historiographical models. Through user evaluation, we discuss the reception of the tool among teachers and students, as well as the implications for cultural learning. The research was instigated by the distancing many students feel when attempting to place themselves within a historical narrative. During the learning experience, it is essential to understand how history is constructed by the participation of groups and individuals and not by distant, impersonal forces; this broadens the discipline of history to include the narratives of students’ lives. In addition, we understand that these social perceptions, which include those of time and space, are lived through multiple languages and cognition channels and are mediated by the teachers. Thus, visual language acts as a mediating device for teaching and learning information literacy so that all narratives can be more easily addressed and all learners are perceived as active agents of social change.
Learning to See Differently
Authors: Zeigler Eric , Ellison Aaron
Published: May 2022

Visual literacy takes for granted that humans are the main perceivers and decipherers of visual stimuli into meaningful information. The focus of this paper is to introduce the idea of a non-anthropocentric visual literacy and explore how it could help us better understand the myriad species that coexist with humans on Earth, their interactions with one another, and our interactions with them. Our work attempts to visualize the world beyond our vision — in the infrared and the ultraviolet. Using photography, we have imaged our world to translate what is visible to non-humans into the visible for humans. The information contained in these images reveals “hidden stories” about how organisms interact and make decisions, perhaps helping us to envision a more responsible future not only for our own species but also for the tens of millions of other species with whom we share the Earth. In sum, we propose that learning to see the world as other organisms do should be a part of visual literacy study and practice.
Public Library
Authors: Sung Eric
Published: May 2022

The image is from “Monuments of Memories for Our Times” series which is made with a dedicated consideration to the complexities inherent to the “monument.” In “public Library,” Sung explores documenting vacant community infrastructure as monument of current times to archive the impact of Covid-19.
Stems
Authors: Britsch Susan
Published: May 2022

My current work juxtaposes tools of creation: human-made tools drawn from the history of my family and natural tools drawn from my home environment…a blossom just broken from its stem running through a machine that repairs and constructs...or reconstructs. This juxtaposition results in a dialogue of eras and artifacts, involving as interlocutors my mother, more distant ancestors, and myself. Each image thus links memory—both lived and imagined—with immediacy. Time spent at home during the pandemic has accentuated this intimacy, creating a liminal space inhabited by love, treasure, careful work, and other lifetimes no longer present but alive to me now.
Sonder, Seclusion
Authors: Adil Faizan
Published: May 2022

Sonder: The realization that each random passerby is living life as vivid and complex as your own. Seclusion: The state of being private and away from other people. Each society evolves with a new paradigm and generations. In each era, human isolation is increasing with the passage of time. A human rush and psychological warfare can be seen in daily routine. Inner chaos and remorsefulness, are not being addressed by a person or society. An absolute phase that every human faces in his life. The mentioned brief is used in the fine art scam photographic work experiment. Originally, This project is a reflection on the research paper of Ar. Zain Adil based on Light, Space, Time & Gravity.
Brookshire: Borderlands
Authors: Ferrier De
Published: May 2022

This body of work is informed by my own experience of constant migration. My lens based photographic practice is grounded in the images of my current ‘home’ where the iconic silos and rice dryers of Texas dominate the landscape. The actions of shooting, dissecting, cutting, folding and concealing these images mimics the vilification of migrants across the globe. Utilizing a hands-on meditative approach leads to a transformation of folded and constructed imagery that creates metaphors of hidden, unjust truths. My interest is in the materiality and physicality of the photograph, which becomes an object in itself. Journeys and borders are explored, then recreated with silo imagery. The intent is to invite the viewer in while gently touching upon very sensitive issues related to migration.
Casting multiple shadows: interactive data visualisation with tours and embeddings
Authors: Lee Stuart , Laa Ursula , Cook Dianne
Published: May 2022

Non-linear dimensionality reduction (NLDR) methods such as t-distributed stochastic neighbour embedding (t-SNE) are ubiquitous in the natural sciences, however, the appropriate use of these methods is difficult because of their complex parameterisations; analysts must make trade-offs in order to identify structure in the visualisation of an NLDR technique. We present visual diagnostics for the pragmatic usage of NLDR methods by combining them with a technique called the tour. A tour is a sequence of interpolated linear projections of multivariate data onto a lower dimensional space. The sequence is displayed as a dynamic visualisation, allowing a user to see the shadows the high-dimensional data casts in a lower dimensional view. By linking the tour to an NLDR view, we can preserve global structure and through user interactions like linked brushing observe where the NLDR view may be misleading. We display several case studies from both simulations and single cell transcriptomics, that shows our approach is useful for cluster orientation tasks. The implementation of our framework is available as an R package called liminal available at https://github.com/sa-lee/liminal.
Vocabulary Research of English Textbooks for Primary and Secondary Schools
Authors: Fan Nengwei , Liu Qin
Published: May 2022

Vocabulary is the foundation of language and plays an important role in language learning. Vocabulary teaching has been paid more and more attention at home and abroad.Whether the vocabulary of English textbooks for primary and secondary schools can meet students' learning and information exchange needs is a question worth exploring.This paper analyzes the vocabulary of English textbooks for primary and secondary schools and shows their usage and coverage in different real language communication activities, which provides statistical reference for the selection and revision of English textbooks for primary and secondary schools in the future.
Effects of hydrogen water and psychological treatment in a sample of women with panic disorder: a randomized and controlled clinical trial
Authors: Fernández-Serrano Ana Belén , Moya-Faz Francisco José , Giner Alegría Cesar Augusto , Fernández Rodríguez Juan Carlos , Soriano Guilabert Jose Francisco , del Toro Mellado Martín
Published: May 2022

Research suggests that inflammation is an important mediator in the pathophysiology of anxiety disorders. In addition, women are more likely to develop an anxiety and depression disorder, in comorbidity with a wide spectrum of diseases related to the immune system. In recent years, hydrogen-rich water has emerged as a promising therapeutic strategy to prevent and intervene in stress-related disorders, due to its antioxidant and anti-inflammatory properties. The present study aims to analyze the effects of psychological treatment and a hydrogen-rich drink on the severity of anxiety and depression, pro-inflammatory cytokine levels, the cortisol awakening response, and general health state in a sample of women with panic disorder. This is a completely randomized, placebo-controlled study. The treatment group simultaneously received psychological treatment and 1.5 L of hydrogenated water for three months, compared to the control group that received psychological treatment and placebo. The results show that the treatment group was not significantly better than the control group. But there was a further reduction in measured pro-inflammatory cytokine scores, improving body pain and physical health. When between-group treatment effects were removed, psychological treatment significantly decreased measured variables, including cytokines and cortisol. The results support the presence of a maladaptive inflammatory process in women with panic disorder.
Prevalence of Postpartum Depression among Women in Childbearing Age Attending Primary Health Care Centres, Qassim Region.
Authors: Alonazi Huda G. , Jahan Saulat
Published: May 2022

Background and Objectives

Postpartum Depression (PPD) is a significant threat to mothering and has negative impact on both mothers and children. There is limited information about PPD prevalence and associated factors in Saudi Arabia particularly in Qassim region. This study aimed to determine the prevalence of PPD and factors associated with PPD among women of childbearing age in Buraidah, Qassim region, Saudi Arabia.

Methods

This was a cross sectional study including 204 mothers aged 18-45 years in postpartum period attending primary health care centres in Buraidah during April to August 2021. A self-administered questionnaire was used to gather data regarding socio-demographic characteristics, newborn related factors, marital and family relationship factors, and social support factors of the participants. Edinburgh Postnatal Depression Scale (EPDS) was used to determine PPD among the participants.

Results

Out of 229 invited women, 204 willingly participated (response rate: 89.1%). More than half of the participants (58.3%) belonged to 18-30 years age group; 62.3% participants had university or above education; 82.4% were housewives; and household income level was considered ‘moderate’ by 65.7% of the participants. According to EPDS, the prevalence of PPD was 13.7% while 17.6% had ‘possible Post-Partum Depression’, and 12.3% had ‘fairly high possibility of Depression’. PPD was significantly associated with friend support (p=0.03) husband support (p=0.01) and absence of conflict with the husband (p=0.02).

Conclusion

More than a quarter of women were likely to have PPD needing monitoring, diagnostic assessment and possible treatment by primary health care physicians or specialists. Comprehensive post-natal care including screening for PPD in primary health care centers is recommended.