bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Analysis of Aluminium Hybrid Composite with Various Operating Conditions
Authors: K. Prabhakaran  , B. Silambarasan  , K. Santhosh  , B. Yugendran  , V. Vinothkumar  , M. Sharvesh Ram
Published: May 2023

This present study deals with the fabrication of Al7075/B4C/HBN metal matrix hybrid composite and investigation of its tribological and mechanical behaviour. The aluminium alloy was reinforced with Hexagonal boron nitride (HBN) with various weight fraction (0%,2%,3%,4%) by keeping Boron carbide (B4C) constant at 3%. Stir casting process was used for the fabrication of the composite. Wear experiment was conducted on pin-on-disc tester using four process parameters such as applied load (10N, 20N, 30N and 40N), sliding velocity (1m/s, 2m/s, 3m/s, 4m/s), temperature (25oC, 50oC, 100oC, 150oC) and percentage of reinforcement (0,2,3,4 HBN). The results indicated that the mechanical properties of the composite material were reduced at high temperatures. Hardness of the composites increases while increase the wt % of HBN. Hardness is minimum at 3rd composition. However, at high temperatures and humidity levels, some debonding was observed, which could reduce the mechanical properties of the material. Overall, the experimental analysis highlights the importance of considering the operating conditions when designing and using aluminum hybrid composites for various applications.
Kaskadeneffekt durch geringere Wasserverfügbarkeit verhindern
Authors: Baumann Daniel
Published: May 2023

Längere Hitzephasen, geringere Niederschläge und hohe Ressourcenverbräuche verschlechtern das in Qualität und Quantität verfügbare Trinkwasserdargebot zunehmend. Konzepte sind gefragt. Noch wichtiger ist deren zügige Umsetzung durch Gesellschaft und Industrie.
Sentry – neuartiges Messsystem für biologische Aktivität
Authors: Barfüßer Sebastian
Published: May 2023

Die kanadische Firma Sentry bietet mit ihrem neuen, gleichnamigen Messsystem jetzt erstmalig Kläranlagenbetreibern in Deutschland die Möglichkeit, kontinuierlich die biologische Aktivität einer Kläranlage zu messen.
Turbo-Trio auf der Kläranlage Oschersleben spart Energie
Authors: Meißler Sebastian
Published: May 2023

Kosten senken und die Umwelt schonen: Das war das Ziel der Modernisierungsmaßnahmen auf der Kläranlage Oschersleben. Die neue Gebläsetechnik für die beiden Belebungsbecken musste einen energiesparenden Betrieb garantieren, direkt an den Belebungsbecken Platz finden und aufgrund der nahen Wohnbebauung möglichst leise sein.
Perceived risk and demographic factors on consumers’ choice in times of crisis
Authors: Wu Ming-Yi
Published: May 2023

A fim de desenvolver estratégias de comunicação eficazes durante as crises, este estudo explora como fatores psicológicos (por exemplo, risco percebido) e variáveis demográficas afetam a escolha dos canais de consumo dos consumidores durante o período de reabertura de negócios em meio à pandemia de COVID-19, analisando dados de pesquisa coletados de 1.033 Adultos dos EUA com análise preditiva. Há uma série de descobertas importantes. Em primeiro lugar, os resultados da análise de cluster sugeriram que os consumidores dos EUA podem ser categorizados em dois grupos, alto risco percebido e grupo de alta preocupação, e baixo risco percebido e grupo de baixa preocupação. A associação ao cluster está associada a gênero, etnia e renda familiar. Em segundo lugar, os resultados da análise da árvore de decisão mostraram que o risco percebido para entrega e retirada de comida é o fator mais importante que prediz os comportamentos dos consumidores em relação aos pedidos de entrega e de retirada de comida. Em terceiro lugar, os resultados da análise da árvore de decisão sugeriram que o risco percebido para as atividades de consumo dentro da loja é o preditor mais importante para prever as atividades de consumo na loja, como visitar uma loja de varejo que não seja mercearia e sair para comer. Os resultados deste estudo suportam a teoria demográfica do consumidor e a teoria do risco percebido pelo consumidor. São fornecidas sugestões práticas sobre como minimizar os riscos percebidos com estratégias eficazes de comunicação de crise.
Being a Female Academic During the Pandemic: Lecturer, Teacher, Mother, Scholar and More
Authors: LAÇİN ŞİMŞEK Canan , DEMİR KAYMAK Zeliha , SOLA ÖZGÜÇ Canan
Published: May 2023

The present study aimed to identify the experiences of female academics with children regarding distance learning and working from home during the pandemic, their problems, gains, and opinions about the impacts of being a woman on their experiences within this process. To this end, the study adopted the qualitative research method of phenomenological design. Interviews were conducted with 11 participants with children working at the same university offering courses by means of distance learning during the pandemic. The data were examined through content analysis. The participants expressed that they encountered a variety of problems particularly due to being a woman. They stated that they assumed many different roles and struggled to carry out the responsibilities. Almost all participants indicated a significant decline in the volume of academic studies, considering the excessive amount of responsibilities assumed by women and the lack of sharing the workload at home. The present study is expected to help female academics realize that these problems are not unique to them, providing them with a source of motivation.
Remitologisasi Pohon Melalui Superhero Groot
Authors: Mandira Bayu
Published: May 2023

Superhero merupakan karakter fiksi yang mengambil idiom bentuk dan kekuatan dari alam. Dahulu superhero menjadi sangat menginpirasi imajinasi masa kecil, Groot adalah salah satu superhero yang sangat menginspirasi serta memiliki idiom bentuk yang sangat lekat dengat karakter masyarakat Bali, yaitu pohon. Berbanding terbalik dari cerita fiksi Groot, pohon-pohon di Bali tidak lagi di anggap menjadi pahlawan yang di hargai, terlihat dari fenomena memudarnya mitos-mitos yang melekat pada pohon di dalam masyarakat. Berangkat dari fenomena memudarnya mitos tersebut, penulis ingin menyuarakan melalui visual gagasan ke dalam karya seni lukis yang berjudul remitologisasi pohon melalui superhero groot. Dalam hal ini penulis ingin mengilustrasikan tentang peran penting pohon bagi keberlangsungan hidup makhluk hidup. Menggunakan ikon popular sebagai idiom bentuk, seperti Groot dan Topeng Bali yang di oleah dengan surealis simbolik untuk mendapatkan kesan mistis.
Perancangan Desain Website sebagai Media Informasi Wisata dan Budaya.
Authors: Valentino Alfredo
Published: May 2023

Perancangan desain website sebagai media informasi dan budaya berawal dari masalah dimana website mulai menunjukkan tampilan tampilan yang monoton sehingga satu produsen dengan produsen lain memiliki cara cara yang hampir sama dalam memasarkan produknya di dalam tampilan website. Penciptaan ini ditujukan untuk memberikan suguhan desain baru dan lebih segar terhadap tampilan website. Metode yang digunakan dalam penciptaan ini adalah metode design thinking yang dimana pendekatan ini berpusat pada manusia terhadap inovasi yang diambil dari perangkat perancang untuk mengintegrasikan kebutuhan pengguna dalam perangkat itu sendiri. Data yang diambil dari penciptaan ini adalah berupa data suasana tempat tempat wisata yang terdapat di kota Yogyakarta sebagai acuan bentuk visual pada desain website wisata. Penulis akan melakukan uji coba untuk mendapatkan hasil maksimal dari calon pengguna website yang diciptakan.
DATASET FOR POSITIONING AND TRACKING CARS AND PEDESTRIANS FROM UAV IMAGERY AND STATIC LIDAR
Authors: Gurturk M. , Masiero A. , Toth C. , Dabove P. , Di Pietra V. , Vettore A. , Guarnieri A. , Mugnai F. , Soycan M.
Published: May 2023

Abstract. The development of autonomous vehicles, both terrestrial and aerial ones (unmanned aerial system (UAS)), is causing the need of properly formulating appropriate solutions for ensuring a safe interaction between them, human beings and the infrastructures and environment in their operating area. To such aim, the knowledge of the positions of different platforms moving in the considered area is fundamental. GNSS (Global Navigation Satellite System) is by far the most used positioning technique in order to determine positions all over the world. Nevertheless, there are several conditions in which its use is unfortunately impossible or unreliable. Hence, different techniques, based on the use of sensors either mounted on the moving platforms or on an ad-hoc infrastructure, shall be used in order to determine the absolute and relative positions of the involved platforms. To this aim, this work proposes the use of vision, in particular from UAS imagery, static LiDAR (Light Detection and Ranging) and UWB (Ultra Wide-Band) transceivers, with initial encouraging results.
EXPLORING GROUND SEGMENTATION FROM LIDAR SCANNING-DERIVED IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
Authors: Lagahit M. L. R. , Li Z. , Sakaguchi K. , Matsuoka M.
Published: May 2023

Abstract. Recent works have attempted to extract features such as road markings from sparse mobile LiDAR scanning point cloud-derived images via convolutional neural networks (CNN). In this paper, the use of such methods for ground segmentation was explored. To begin, point clouds from each channel will be projected onto the y-z plane to generate the images that will be used for training and testing the CNN model. Then, for the main workflow, the following steps were performed for each channel: (1) point cloud-to-image conversion; (2) CNN classification; and (3) image-to-point cloud projection. Then utilizing multi-threading, each channel is processed in parallel to generate our ground-segmented sparse point cloud. Our findings have shown successful ground segmentation, achieving an f1-score of 98.9%. However, it performed 27.81% slower as compared to RANSAC. Overall, this initial investigation has demonstrated that ground segmentation from sparse point cloud-derived imagery is possible, and with further improvements to the CNN model, to make it faster, it has good potential to act as an alternative to conventional point cloud processing.
ITERATIVE REFRACTION-CORRECTION METHOD ON MVS-SFM FOR SHALLOW STREAM BATHYMETRY
Authors: Lingua A. M. , Maschio P. , Spadaro A. , Vezza P. , Negro G.
Published: May 2023

Abstract. Extracting accurate bathymetric information from clear, shallow waters in complex riverine environments can be challenging, but it is crucial for many applications, such as hydraulic modeling, ecological monitoring, and sediment transport analysis. Multi-view stereo photogrammetry (MVS-SfM) has emerged as a promising technique for acquiring high-resolution bathymetric data from aerial imagery. However, the accuracy of MVS-SfM can be affected by various factors, including water refraction, which can distort the depth measurements. In this study, iterative Dietrich’s refraction-correction method is tested for extracting bathymetry from MVS-SfM in a complex riverine environment. Moreover, we proposed a workflow for applying the method using raster data files, which can be more readily available than point clouds. It also compared the obtained results with previous applications and evaluated them using statistical indices and ratios. For this case study, the multicamera refraction method produces bathymetric datasets with accuracies of ~0.019% of the flying height and precisions of ~0.07% of the flying height. This study contributes to increased confidence in exploiting aerial imagery for bathymetric mapping in photogrammetric procedures under field conditions and can facilitate the management and conservation of clear water systems.
FEASIBILITY AND ACCURACY OF AS-BUILT MODELLING FROM SLAM-BASED POINT CLOUDS: PRELIMINARY RESULTS
Authors: Matellon A. , Maset E. , Visintini D. , Beinat A.
Published: May 2023

Abstract. Nowadays, portable Mobile Mapping Systems (MMSs) and robotic mapping platforms leveraging on Simultaneous Localization and Mapping (SLAM) methods are gaining increasing attention for architectural and construction surveying, representing an efficient solution for geometric data acquisition for scan-to-BIM purposes. However, the applicability of standard modelling workflows and the accuracy of Building Information Models (BIM) that can be obtained from SLAM-based point clouds is still an open question. In this paper, we propose a preliminary evaluation on the feasibility of extracting as-built BIM from (i) a point cloud acquired with a commercial portable MMS, and (ii) a point cloud obtained through an open-source SLAM algorithm, surveying the environment with an autonomous mobile robotic platform. In both cases, the main structural elements of the test site are accurately generated, thus showing promising results. On the other hand, the experiment highlights also the need for SLAM systems capable of providing less noisy point clouds, in order to capture and model architectural details.
FROM AN INTEGRATED SURVEY WITH MMS TO A SCAN-TO-BIM PROCESS FOR EDUCATIONAL PURPOSES
Authors: Matrone F. , Colucci E. , Ugliotti F. M. , Del Giudice M.
Published: May 2023

Abstract. The mobile mapping systems (MMSs) are increasingly used in the Architecture, Engineering and Construction sector (AEC). Their involvement in the digital transition of our cities and built heritage could be a valuable solution in speeding up the scan-to-BIM processes. In this framework, the course “Knowledge of the built heritage in the era of climate change” of Politecnico di Torino offers an innovative approach for MSc degree students in Building Engineering. In fact, it deals with the whole workflow from the surveying activities (data acquisition and processing), to the BIM modelling up to the final digital twin integrated with e.g. sensors data and management information. This contribution describes the case studies of the multidisciplinary course as an application for this methodology, where not only terrestrial laser scanning or UAVs (Unmanned Aerial Vehicles) have been used, but also MMSs have been tested to understand if they could be a suitable option. This paper aims to show the course experience derived from the collaboration of the geomatics and drawing domains along with students’ results and feedback. Moreover, the research underlines the pros and cons of this procedure.
COLMAP-SLAM: A FRAMEWORK FOR VISUAL ODOMETRY
Authors: Morelli L. , Ioli F. , Beber R. , Menna F. , Remondino F. , Vitti A.
Published: May 2023

Abstract. SLAM technology is more and more integrated with other sensors for indoor and outdoor seamless navigation. This research topic is very active in particular on image matching with deep learning local features, keyframe selection approaches, or tests on new IMU and GNSS solutions. Integrating and testing new methodologies on other widely used SLAM implementations, such as ORB-SLAM, can be not a trivial task. Therefore, we propose an extension of COLMAP to be used in real-time as a feature-based Visual-SLAM that can be also coupled with other sensors. COLMAP has been chosen due to its modularity and the large community that assures the continuity of the repository. The paper presents a pipeline mainly thought for real-time evaluation of learning-based tie points and new SLAM features, that works with both monocular, stereo and multi-camera systems. It is also shown an example of keyframe selection algorithm based on deep learning local features, and a simple example of IMU integration. The code is available on the GitHub repository https://github.com/3DOM-FBK/COLMAP_SLAM.
PCDA™ SLAM-BASED TECHNOLOGY FOR POINT CLOUD AND TRAJECTORY OPTIMIZATION FOR AIRBORNE, LAND, AND INDOOR APPLICATIONS IN GNSS-DENIED ENVIRONMENTS
Authors: Mostafa M. M. R. , Sever M. , Huynh V. , Jaeger N. , Jarvis A. , Hutton J. , Kurz S.
Published: May 2023

Abstract. This paper presents the results of assessing the performance of Trimble Applanix PCDA™ SLAM-based technology to simultaneously optimize any mobile mapping system trajectory and LiDAR point cloud data in a GNSS-denied environment. The simultaneous use of inertially-aided GNSS data along with LiDAR point clouds to optimally correct shifts and/or drifts in the trajectory in GNSS-denied environments is addressed in detail in this paper. A number of Trimble MX50 Mobile Mapping System data sets were acquired in Germany particularly to assess the performance of PCDA™. The land mobile mapping data sets were acquired in deep urban canyons which were purposely acquired that way to reach the most challenging land mobile mapping data sets in a GNSS-denied environment. The PCDA™ technology assessment results are presented in detail. In summary, the results show how LiDAR data can successfully be used to correct the trajectory shifts and drifts due to GNSS outages by simultaneously optimizing both point cloud and trajectory data.
RF-BASED LOCALIZATION (WIFI RTT/LORA) IN UNDERGROUND QUARRYING FOR AGENT SUPERVISION AND MAPPING APPLICATIONS
Authors: Orfanos M. , Perakis H. , Gikas V.
Published: May 2023

Abstract. Mining and quarrying industry has recently made a shift towards underground exploitation as a viable alternative to traditional open-pit approaches. Thus, emerged the imperative need for localization systems for personnel safety and operations’ monitoring purposes. While there are many approaches taking advantage of the various signals of opportunity (SoO) supported by Internet of Things (IoT) for indoor and underground navigation, the need for a GNSS alternative in such areas is still present in terms of meeting system and user requirements (scale, cost, availability, accuracy, and integrity). The goal of this research is to provide insights regarding different Radio Frequency (RF) technologies operation and evaluate their positioning capabilities (Wi-Fi, BLE and LoRa) in underground industrial facilities such as quarries and mines, following and expanding the tests of previous studies in controlled environment. Furthermore, the multi-sensory approach that this study is pursuing, aims to provide the foundations of a low-cost, scalable and robust positioning system. This system would integrate the characteristics of the aforementioned technologies in order to meet the application-specific user requirements and set the basis for a more efficient mobile mapping system. In this context, technologies’ characterization and comparison is presented, by using data from a real operating underground quarry. The data gathered lead to the conceptualization of the localization scheme, which besides the SoO observables, utilizes their availability status as an additional feature within the quarry as well. The proposed combined approach outperformed the rest, achieving an accuracy bellow 15m for the 85% of the test data, which is sufficient for typical quarrying operations monitoring and management requirements.
DEEP LEARNING TO SUPPORT 3D MAPPING CAPABILITIES OF A PORTABLE VSLAM-BASED SYSTEM
Authors: Padkan N. , Battisti R. , Menna F. , Remondino F.
Published: May 2023

Abstract. The use of vision-based localization and mapping techniques, such as visual odometry and SLAM, has become increasingly prevalent in the field of Geomatics, particularly in mobile mapping systems. These methods provide real-time estimation of the 3D scene as well as sensor's position and orientation using images or LiDAR sensors mounted on a moving platform. While visual odometry primarily focuses on the camera's position, SLAM also creates a 3D reconstruction of the environment. Conventional (geometric) and learning-based approaches are used in visual SLAM, with deep learning networks being integrated to perform semantic segmentation, object detection and depth prediction. The goal of this work is to report ongoing developments to extend the GuPho stereo-vision SLAM-based system with deep learning networks for tasks such as crack detection, obstacle detection and depth estimation. Our findings show how a neural network can be coupled to SLAM sequences in order to support 3D mapping application with semantic information.
MOBILE LASER SCANNING WITH LOW-COST NAVIGATION SENSORS: COMPENSATING FOR LOW-GRADE IMU WITH DUAL-GNSS AND TIGHTLY-COUPLED LIDAR
Authors: Pöppl F. , Teufelsbauer H. , Ullrich A. , Pfeifer N.
Published: May 2023

Abstract. Kinematic laser scanning enables efficient and accurate acquisition of 3D data, specifically point clouds. Transforming the laser ranging measurements from the scanner coordinate system to a georeferenced coordinate system requires integration with auxiliary navigation systems, in this case using GNSS (global navigation satellite system) and an IMU (inertial measurement unit). GNSS and IMU data are commonly fused via Kalman filter, and the resulting trajectory is used for georeferencing. Errors in the trajectory propagate through the georeferencing and cause discrepancies in the point cloud. To mitigate this, we present a holistic integration method incorporating GNSS, IMU and LiDAR measurements in a single adjustment, which can be seamlessly adapted to a setup with two GNSS receivers and antennas. This tight coupling of LiDAR and IMU together with the dual-GNSS setup allows the use of an ultra low-cost IMU while still achieving high-quality point clouds. We demonstrate this methodology on two datsets, where we discuss in particular the boresight calibration of such a system, and the impact of the LiDAR measurements and the dual-GNSS set-up on the trajectory and the point cloud.
MOBILE MAPPING FOR DIGITAL DOCUMENTATION OF ANCIENT ROMAN ROADS WITHIN A MULTI-SENSOR FRAMEWORK: THE APPIAN WAY IN ROME
Authors: Brumana R. , Previtali M. , Roncoroni F. , Stanga C. , Gabriele M. , Quilici S.
Published: May 2023

Abstract. Digitization of complex Cultural Heritage sites requires the integration of several strategies to achieve a comprehensive description of the site. This is the case of the digitization project of the Appian Way in Rome involving a section of 12 km from Capo di Bove to Frattocchie under the superintendence of the Parco Archeologico dell’Appia Antica. This paper presents some first results of the project with a specific focus on the acquisition of the primary data needed for the further steps of the project. In particular, the paper discusses the integration of different sensors such as lidar-based Mobile Mapping Systems, spheric (360°) cameras and digital (frame) calibrated cameras, for the reconstruction of point clouds to be used as input data for the digitization process. A specific attention is paid both on acquisition speed and to accuracy of the obtained results. The paper presents also some results showing the transformation of the acquired data into a GIS system to be used as a support tool for decision making of the public administration.
ENHANCED ALGORITHMS TO EXTRACT DECAY FORMS OF CONCRETE INFRASTRUCTURES FROM UAV PHOTOGRAMMETRIC DATA
Authors: Alicandro M. , Dominici D. , Pascucci N. , Quaresima R. , Zollini S.
Published: May 2023

Abstract. Nowadays, inspection and maintenance of infrastructures is one of the most crucial issues to be faced. The structural performances should be constantly checked, considering that especially ageing stock and extreme weather events deteriorate the network infrastructure over time. However, economic reasons and the practical difficulty of carrying out a targeted inspection makes the detection a major challenge. In most of the western countries, a high percentage of infrastructures has reached and exceeded the nominal life, so the detection plays a fundamental role for their proper functioning. In this paper, experimental algorithms were tested to extract the decay forms on a portion of concrete pillar. These algorithms were applied on a metric digital image, obtained by photogrammetric output. The finally accuracy was calculated considering as ground truth the visual inspection performed by a concrete expert and the confusion matrices, the overall accuracy and the kappa-coefficient were evaluated. Then, a comparison with existing algorithms was made using the same methodology. The stacking of the original RGB image with two of the experimental algorithms could increase the accuracy up to 5%, while the common ones did not produced significant improvements. The final purpose of this work was to propose a semi-automatic/automatic procedure to detect concrete decay forms and, therefore, help the infrastructure management. The awareness is essential to provide the best practices to ensure safety and adequate performance over time.
Biochar promotes soil aggregate stability and associated organic carbon sequestration and regulates microbial community structures in Mollisols from northeast China
Authors: Sun Jing , Lu Xinrui , Chen Guoshuang , Luo Nana , Zhang Qilin , Li Xiujun
Published: May 2023

Abstract. Since the 1950s, heavy plowing of Mollisols, combined
with a lack of organic matter intake, has resulted in severe soil
degradation in northeast China. The use of biochar in combination with
fertilizer is a sustainable method of improving soil quality. In this paper,
we conducted field experiments to explore the response of the stability
mechanism of the soil aggregate, the dynamic properties of organic carbon,
and changes in the microbial community structure to biochar. The biochar
input levels were C1, C2, and C3 (9.8, 19.6, and 29.4 Mg C ha−1,
respectively), while the nitrogen (N) fertilizer rates were N1/2 (300 kg N ha−1) and N (600 kg N ha−1). Results indicated that biochar
combined with N fertilizer effectively increases soil carbon storage and
aggregates stability (P<0.05). And C2N treatment increased the
aggregate contents of the >2 mm and 0.25–2 mm fractions by
56.59 % and 23.41 %, respectively. The phospholipid fatty acid (PLFA)
analysis revealed that microbial community structure was effectively
improved with biochar combined with N fertilizer application (P<0.05). The F/B ratio increased by 25.22 % and the gram-positive
(Gm+) to gram-negative (Gm−) ratio by 4.65 % under the C2N1/2
treatment. This study concluded that the response of Mollisols to biochar is
primarily determined by the interplay of aggregate, organic carbon, and
microorganisms. Therefore, the use of biochar combined with N fertilizer
might mitigate soil degradation of Mollisols under an optimal application
ratio, but the underlying mechanism still requires further exploration. This
study will provide a scientific basis for the conservation and sustainable
utilization of Mollisols resources.
Ética em pesquisa nas Ciências Humanas e Sociais: divergências e convergências no tratamento de dados
Authors: Trevisol Marcio Giusti , Schoenardie Davi Alexandre
Published: May 2023

Este artigo analisa as divergências e convergências sobre o tratamento de dados de pesquisa e o campo investigativo das Ciências Humanas e Sociais, na Resolução No 466/2012, na Resolução Nº 510/2016 e na Lei Geral de Proteção de Dados (LGPD). Trata-se de uma pesquisa documental, de abordagem qualitativa e objetivo exploratório, balizada no entendimento dos teóricos De La Fare, Carvalho e Pereira (2017), Mainardes (2017) e Peixoto (2017). Os resultados apontam: i) a falta de determinantes vinculados à integridade humana; ii) a falta de autonomia do sujeito pesquisador; iii) a necessidade de modernização das resoluções no tratamento de dados; iv) a necessidade do acesso do sujeito pesquisado aos resultados da investigação assim como da transparência do acesso aos seus dados; v) a necessidade de fecundar um ensino e uma cultura ética nas instituições de educação.
Göçün Halk Sağlığı Sorunu Olarak Ruh Sağlığı Açısından Değerlendirilmesi
Authors: ÖZTUNA Şeyda , KISSAL Aygül
Published: May 2023

Biyopsikososyal bir varlık olan insanın çok boyutlu olması sebebiyle göç, tarih boyunca çeşitli sebeplerle sadece yaşanılan yer değişikliği olarak algılanmamalıdır ve tüm yönleri ile incelenmesi gereken bir olgu olarak düşünülmesi gerekmektedir. Her ne sebeple olursa olsun göç olgusu, göç öncesi, göç sırası ve sonrasında hem göçü yapan kişi/kişiler hem de göç edilen yerlerde yaşayanlar için pek çok ruhsal sorunlara neden olabilmektedir.
Türkiye başta olmak üzere son zamanlarda yaşanan farklı göç olayları bireylerin yaşamlarına devam edebilmesi amacıyla savaşlar, açlık, yoksulluk, ekonomik sorunlar, dine yönelik saldırılar gibi ekonomik, sosyal, siyasi ve kültürel olmak üzere farklı sebeplerle gerçekleşebilmektedir. Farklı sebeplerle gerçekleşen tüm göç çeşitlerinde, literatür tarama ve inceleme sonucunda göç eden çocuk, kadın ve erkeklerin çoğunda travma sonrası stres bozukluğu, depresyon, uyku sorunları, intihar gibi bazı çeşitli ruhsal problemler yaşandığı görülmektedir.
Bu derlemenin amacı, günümüzde Dünyada ve Türkiye’de sayıca hızla artmakta olan göç olaylarının, olumsuz çevre koşulları ile bireylerin zorlu yaşamı devam ettirme zorunlulukları sebebiyle ciddi bir halk sağlığı sorunu olan göç olaylarının, bireylerin ruh sağlıkları üzerindeki etkilerini incelemek ve bu etkileri açıklayarak literatüre katkı sağlayabilmektir.
Epidemiological Data on the Histopathological Diagnosis of Kaposi's Sarcoma in Brazzaville, Republic of Congo
Authors: Arnold Malonga Gervillien , Mboungou Malanda Dimitry Moudiongui , Iloukou Mayakia Patrina Joseph
Published: May 2023

Introduction: Kaposi's sarcoma is endemic in sub-Saharan Africa and remains to this day the most common cancer in people living with HIV. This study aimed to obtain epidemiological data on Kaposi's sarcoma diagnosed at the cytopathological anatomy laboratory in the Republic of Congo.
Material and Methods: Authors collected all cases of Kaposi's Sarcoma over a 22 years period from 2000 to 2021. Data was collected from hospital registers, medical records and reports of pathological examination results.
Results: A total of 37 cases were enrolled in the study, with the annually incidence of Kaposi's sarcoma around 2 cases/year. The age of patients at diagnosis ranged from 13 to 80 years old, with the average age of 31.5 years. Male to female ratio was 3.1 and females were older than males. The majority of the lesions were in the lower limbs, 13 (35%) and nodular KS accounted the most observed elementary lesions of all cases (59%).
Conclusion: Although it occurs frequently in PLHIV, KS is less common in the Republic of Congo and remains an unrecognized condition among the Congolese population.

Key words: Kaposi's sarcoma, Epidemiology, Republic of Congo
Influência da temperatura do ar sobre a duração das fases do desenvolvimento fisiológico da semente de mamona.
Authors:   , de Oliveira Lima Klebernilson
Published: May 2023

Precocidade de produção é um fator chave para a produção agronômica porque um período de cultivo mais curto reduz os riscos e custos de produção. A redução, em qualquer das fases de desenvolvimento, contribui para um período de cultivo mais curto. Objetivou-se com este trabalho avaliar a influência da temperatura do ar sobre as duas fases iniciais do desenvolvimento fisiológico da semente de Ricinus communis L.., mais conhecida por mamona. A antese foi definida como o momento de abertura da quinta flor feminina; a data foi registrada e um fruto foi recolhido três vezes por semana, até que os frutos atingissem a sua maturação visual. Imediatamente após a colheita dos frutos, as sementes foram extraídas manualmente, pesadas, medidas (comprimento, largura e altura) e transferidas para uma estufa durante 48 h, a 80°C. Após a secagem, as sementes foram pesadas. Os dados foram utilizados para calcular o volume das sementes e o seu teor de água. Os cálculos foram feitos para detectar e rejeitar as sementes abortadas e sementes que cresceram antes ou depois da maioria das sementes da mesma idade. No presente estudo foram testados três tratamentos de temperaturas: a 26, a 30 e a 34°C. Foram coletadas 1.730 sementes, mas algumas delas foram excluídas pelos seguintes motivos: por aborto, por crescimento tardio ou adiantado, e por erros de processamento na coleta . Considerou-se o ponto de 80% de teor de água, como limiar da fase de divisão celular e o teor de água de 22%, como o ponto de maturidade fisiológica. A fase de acumulação de reservas levou 17 dias, a 26°C, 14 dias a 30°C e 13 dias a 34°C. A duração da fase de acumulação de reservas foi de 19 dias a 26°C, 18 dias a 30°C e 13 dias a 34°C. O peso final das sementes também foi influenciado pelas diferentes temperaturas. As plantas submetidas a 34°C produziram sementes consideravelmente mais leves (pesando em média cerca de 150 mg), enquanto que aquelas que foram produzidas a 26 e a 30°C alcançaram em média 280 mg, ou seja, um volume superior àquelas submetidas a 34ºC. Por outro lado, as plantas submetidas a 34°C foram visualmente afetadas pela temperatura, com um reduzido número de frutos no cacho, menor área foliar e folhas amareladas. Por esta razão, é questionável se a redução do peso das sementes foi um efeito direto da temperatura ou uma consequência da capacidade reduzida de produção de energia da própria planta, seja ela de fator fisiológico ou genético. Sementes de mamona se mostraram muito sensíveis à temperatura do ar, e a maturação das sementes pode ser atrasada consideravelmente até mesmo por uma temperatura que não afetaria o crescimento geral da planta. Estudos mais aprofundados sobre estes fenômenos se fazem necessários, com o intuito de determinar as temperaturas cardinais desta cultura industrial.
Fitometria do milheto (pennisetum galucum L.) e do sorgo (sorghum bicolor L.) sob dois espaçamentos e adubação orgânica no Cariri Paraibano.
Authors:   , Pedrosa de Oliveira Melo Neto Pedro
Published: May 2023

Considerando o avanço da degradação do solo que compromete severamente a qualidade de vida e a segurança alimentar, sobretudo nas áreas dos agroecossistemas familiares da região semiárida, e fundamental que as pesquisas possibilitem alternativas viáveis aos agricultores, para o estabelecimento do equilíbrio econômico, ecológico e social da região. Nesse sentido e importante identificar especies forrageiras de ciclo curto que possam contribuir para alimentação animal e a promoção da fertilidade dos solos, apontando a melhor forma de produção e espaçamento para produção de biomassa das forrageiras de ciclo curto, para promover uma produtividade que seja interessante aos produtores locais. Objetivou-se avaliar a fitometria do milheto (Pennisetum glaucum L.) e do sorgo (Sorghum bicolor L.) produzidos sob adubação orgânica e em dois espaçamentos, quando cultivados no Cariri da Paraíba. O experimento foi conduzido no Centra de Desenvolvimento Sustentável do Semiárido (CDSA), em urn LUVISSOLO CRÔMICO Órtico típico. Utilizou-se o delineamento experimental em parcelas, com quatro repetições. Os tratamentos foram dois sistemas de espaçamento e duas culturas. Os resultados da pesquisa apontam que a diminuição do espaçamento influenciou o crescimento em altura das duas culturas, e, embora o sorgo tenha apresentado melhores valores, o milheto evidenciou-se como boa forrageira para produção de biomassa verde. Em função dos resultados e considerando a demanda por especies forrageiras de ciclo curto, atrelado a necessidade de conservação dos solos dos agroecossistemas familiares, e possível recomendar o uso do milheto, sem perdas ao agricultor, em função de suas potencialidades, de sua tolerância as condições edafoclimáticas locais e da potencialidade de uso da cultura em qualquer um dos estádios fenológicos, pela ausência de acido cianídrico (HCN) e de taninos, que são tóxicos para o gado, alem de que o milheto supera o sorgo em proteína bruta, sendo excelente alternativa para produção de palhada.
Avaliação de percepção de um sistema hidropônico na região do Cariri Paraibano: alternativas sustentáveis para a produção de hortaliças na comunidade de Uruçu.
Authors:   , Helena da Silva de Sousa Maria
Published: May 2023

O consórcio de culturas e a adubação verde são práticas bastante utilizadas pelos agricultores familiares, como forma de incrementar a produção agrícola. Tais atividades promovem melhoria das condições físicas, químicas e biológicas do solo e devem ser estimuladas para minimizar os danos do preparo do solo no sistema convencional, ao tempo em que contribuem para agregar valor à produção agrícola, pela diversidade de potencialidades das espécies utilizadas. Objetivou-se com este trabalho avaliar características agronômicas e produção de fitomassa na cultura de milho, em cultivo solteiro e consorciado com leguminosas, além de verificar a percepção dos agricultores familiares sobre essas práticas. Na pesquisa de campo desenvolvida na Área Experimental do CDSA, utilizou-se o delineamento experimental ineiramente casualizado com quatro repetições. Os tratamentos foram o cultivo solteiro do milho (Zea mays L.) e os consórcios de milho com feijão-guandu (Cajanus cajan (L.) Millspaugh) e milho com feijão-de-porco (Canavalia ensiformes (L.) DC.). O consórcio entre milho e adubos verdes teve desempenho satisfatório e os rendimentos da cultura do milho em consórcio com guandu e feijão de porco, mostraram-se superiores ao monocultivo de milho para as variáveis: altura, diâmetro do colmo e peso das espigas. As variáveis de produção número de espigas e biomassa seca de milho não foram afetadas pela utilização de diferentes espaçamentos e dos adubos verdes. Quanto a produção de biomassa verde e seca, foram superiores no tratamento consórcio milho x feijão de porco, independente do espaçamento. A pesquisa de percepção revelou que o sistema de plantio em consórcio e o uso de adubos verdes é comum entre os agricultores entrevistados, sendo o feijão macassar e o feijão guandu os mais conhecidos e usados.
The death of data interpretation and throwing sheep in a postdigital age
Authors: Savin-Baden Maggi
Published: May 2023

This paper argues that in the postdigital age there is an increasing shift away from understanding or undertaking in-depth data interpretation in qualitative research. It begins by outlining what is meant by the postdigital and exploring the idea of throwing sheep. The postdigital is defined here as a stance towards the digital which seeks to challenge the impact of digital technology on humanity and the environment. The idea of ‘throwing a sheep meme’ originates from a Facebook application that used to allow people to ‘throw a sheep’ at friends to poke fun at them. It is used here as a metaphor to poke fun at the way in which qualitative data overmanaged in the digital age. The second section of the paper argues that the art of data interpretation is dead due to the use of short data, poor methodology, a lack of conceptual frameworks, discounted positionality and the overlooking of the importance of representation and portrayal. The final section of the paper delineates ways in which the death of data interpretation might be avoided.
COMPARATIVE ANALYSIS OF THE INCIDENCE OF SPINAL DISTORTIONS IN ADOLESCENTS FOR THE PERIOD 2009-2021
Authors:   Department Orthopedics and Traumatology, Faculty of Medicine, Medical University Pleven, Bulgaria., Gecheva-Fermendzhieva Gergana Y.
Published: May 2023

Purpose: The study objective is to monitor changes in the incidence of spinal distortions in adolescents in the school years 2008/2009 and 2019/2020 in schools within the territory of the town of Kazanlak. The report presents an overview of the manner and organization of preventive screenings of adolescents and options for subsequent treatment. Materials and methods: The study was carried out by specialists in physical and rehabilitation medicine (PRM) in the school physicians’ offices with the consent of the directors, class teachers, parents and the regional education inspectorate. The preventive screenings were carried out completely free of charge for the pupils, and the treatment of newly discovered spinal distortions was carried out in outpatient conditions and was taken over by the National Health Insurance Fund. Results: The study outcomes showed no change in the incidence of spinal distortions of pupils in classes 1 to 4. However, among children from classes 5 to 10, there is a significant increase in the incidence rate over a period of 10 years. Conclusions: The introduction of modern technologies in pupils’ daily lives and their increasingly active lifestyles over the last 10 years has led to an increase in spinal diseases. PRM specialists are the physicians responsible for restoring preventive screenings for spinal distortions in schools. Our study with subsequent treatment and prevention of these conditions shows a successful approach to dealing with the increased number of scoliosis cases in the town of Kazanlak. Our team believes that this approach can be effectively implemented in each region by the PRM specialists and would have a strong social, economic and health effect in the long term for the population of the Republic of Bulgaria.
Human Resource Management Techniques Effects on the Adoption of Total Quality Management in the Private Health Care Sector
Authors: Kargeti Himanshu
Published: May 2023

Whole quality management and human resource management techniques among health care professionals and their union in Haryana, India's private hospitals are the focus of this research. This study's goals are to provide a framework for comprehensive quality management, with an emphasis on the most effective human resource management techniques. The research also intends to look at how HRM practices affected the success of TQM implementation and how HRM practices affected employee satisfaction after TQM was put in place. In terms of both employment and income, India's health care businesses have grown to become a major force in the country. The healthcare industry has several obstacles, but one of the most significant is meeting the demands of its workers while simultaneously maintaining high quality and uniform standards.
A Study of Impact of HR Management in Business Management in an Organization
Authors: Ranjana Jadaun
Published: May 2023

The Human Resources (HR) management group advises upper management on best practices for treating employees as strategic assets. This includes directing the hiring process, negotiating contracts, managing benefits, and advising on methods for training and promotion. Hence, human resources professionals are specialists rather than workers in a siloed business role. They advise managers on a wide range of problems pertaining to personnel and how they help the organization achieve its goals. Human resources professionals, for instance, advise managers and CEOs on how to allocate workers among departments, allowing the organization to better respond to changing circumstances. Workers in a flexible company are often shuffled between departments according to what the company requires and what the workers themselves would want to do.
Beyond the Hype of Big Data Analytics Deployment: Conceptualization and Challenges Epistemology
Authors: Urus Sharina Tajul , Othman Intan Waheedah , Rasit Zarinah Abdul , Bakar Noraizah Abu , Nazri Sharifah Nazatul Faiza Syed Mustapha
Published: May 2023

Businesses, government sectors, academia and society have been flooded with data which nowadays have become valuable economic assets. Data and Big Data Analytics (BDA) are vital for the succession of any organization. Big Data Analytics (BDA) delineates the approaches utilized to examine, process, analyze and expose hidden underlying patterns, interesting relations, and intelligence from huge datasets for different purposes. Despite the growth and widespread use of data analytics, the study on this research area is still at the nascent stage. The scenario is seen particularly for the developing countries like Malaysia. Previous literature has recognized data analytic development and its effect but has not yet provided a comprehensive review. This paper intends to conceptualize BDA manifestation, its application, and its challenges epistemology. This study employs a comprehensive review of past literature to serve the purpose. The findings of this paper will enhance the understanding of BDA conception epistemology (definition and application). This concept paper also intends to shed some light on BDA research areas by identifying the challenges surrounding BDA deployment. From the theoretical point of view, this paper contributes to providing BDA taxonomy based on the application in various industries. From the practical perspective, this paper contributes to BDA research field by identifying the obstacles that need to be managed by the BDA adopter for optimum utilization and decision making. From the government perspective, it contributes to Malaysian national agenda to becoming a leading regional BDA solution hub for all sectors and developed nation by the year 2025.
Curated Decay
Authors: McInnis Peter S.
Published: May 2023

Nova Scotians understand economic hardships at both the personal and community levels. This is especially true for the residents of Pictou County. With the eclipse of coal, steel, and heavy manufacturing, successive governments looked to tourism to augment an eroding economic base and to commemorate the working lives of Nova Scotians. This article offers an analysis of the initial decision to construct and maintain the Museum of Industry in a region of the province subjected to sequential phases of deindustrialization. The venture, officially opened to regular attendance in 1995, is the largest facility in the province’s impressive system of 28 regional museums. The creation of the museum, however, was fraught with uncertainty and narrowly avoided financial collapse and plans to disperse the collection of artifacts. The project was subsequently left straddling an uneasy divide between celebrating industrial heritage and tempering controversies of economic and environmental development. Despite Nova Scotia’s proud heritage of worker resistance and union activism, visitors may exit the museum with the ambiguous message that while working lives are often harsh and riven with uncertainty, optimism for the future must prevail. The implication is that the appropriate response is selective anodyne forms of nostalgia, even resignation, but not resentment of the human and environmental costs of deindustrialization.
Automatic Path Planning for Spraying Drones Based on Deep Q-Learning
Authors: Ya-Yu Huang Ya-Yu Huang , Ya-Yu Huang Zi-Wen Li , Zi-Wen Li Chun-Hao Yang , Chun-Hao Yang Yueh-Min Huang
Published: May 2023

The reduction of the agricultural workforce due to the rapid development of technology has resulted in labor shortages. Agricultural mechanization, such as drone use for pesticide spraying, can solve this problem. However, the terrain, culture, and operational limitations in mountainous orchards in Taiwan make pesticide spraying challenging. By combining reinforcement learning with deep neural networks, we propose to train drones to avoid obstacles and find optimal paths for pesticide spraying that reduce operational difficulties, pesticide costs, and battery consumption. We experimented with different reward mechanisms, neural network depths, flight direction granularities, and environments to devise a plan suitable for sloping orchards. Reinforcement learning is more effective than traditional algorithms for solving path planning in complex environments.

 
Exploring the Sustainable Strategies to Reinforce the Benefit Awareness from Festival Events Management
Authors: Yu-San Ting Yu-San Ting , Yu-San Ting Yu-Lun Hsu , Yu-Lun Hsu Pi-Tzong Jan
Published: May 2023

With international travel trending toward globalization, countries are increasingly focusing on preserving their unique local cultures while maintaining awareness about global tourism perspectives. Since 2017, Taiwan’s Tourism Bureau proposed the Taiwanese Sustainable Tourism Development Program for further development, the Program aims to encourage local governments to promote “Time for Celebration – Taiwan Tourism Events” and create tourism event highlights by promoting developments in regional tourism and related industries. This study aims to explore the role of local residents in festivals from a sustainable development perspective using survey data. It examines local residents’ attitudes and support residents toward festivals. The study details the influence of local residents on festivals, which in turn, depends on the benefits visitors gain from such participation.

 