bluuebunny/crossref_metadata_2025 huggingface dataset:
Límites del ámbito funcional en los convenios de sector: ¿De la «homogeneidad» a la tutela de la «unidad histórica»?
Authors: Calvo Gallego Francisco Javier
Published: October 2022

Aunque la lectura inicial del recurso pudiera hacernos creer lo contrario, resulta evidente que el núcleo de la cuestión debatida en la sentencia objeto de este comentario no se centra tanto en un problema de legitimación negocial, como en una cuestión previa, aunque inescindiblemente relacionada con la anterior, como es la de los límites a la determinación por las partes del ámbito, en este caso funcional, del propio convenio. En este sentido, y como destaca el propio recurrente, en ningún momento se plantea que la capacidad empresarial deba acreditarse en todos y cada uno de los «subsectores» cubiertos por el convenio impugnado, sino solo en los distintos «sectores» a los que podría intentar extenderse un convenio, digámoslo así, «plurisectorial». La cuestión, en definitiva, se centra en conocer si las partes negociadoras pueden de forma absolutamente libre determinar qué es un sector de actividad o si, por el contrario, existen ciertos límites implícitos que reducirían esta capacidad y, en último término, permitirían considerar presentes dos o más sectores, en cada uno de los cuales debería demostrarse dicha legitimación.
Sports sponsorship as a communication tool used in corporate reputation management: A case study of Kenya Commercial Bank
Authors: Tonui Enoch Kiprop , Josephine Khaemba  , Hillary Chakava
Published: October 2022

This study aimed at determining the image stakeholders have towards KCB as a sports sponsor. Corporate image is defined by the constructs of good feeling, trust, admiration and respect, as informed by Fombrun and Gardberg’s RepTrakTM Pulse tool. A case study design was used in order to gain in-depth information about KCB. This study was premised on Stakeholder Theory as it focuses on the impact of a company’s activities on stakeholders, whereby these activities may result in a positive or a negative view of the company. Purposive sampling was used to select participants. This study was conducted in Nairobi County, and participants in this study were external stakeholders of KCB. Respondents included 10 players from KCB Rugby Football Club, 10 supporters (fans), 10 KCB agents and 15 KCB clients. A quantitative method of collecting data was used. Data was generated using a Likert-type scale questionnaire informed by RepTrakTM Pulse. Findings from this study revealed that KCB’s reputational capital is enhanced because it sponsored sports. Most of the respondents took a neutral stance on the statements informing the constructs of good feeling, trust, admiration, and respect. A small percentage of the respondents expressed disagreement with the statements, while a considerable percentage were positive and agreed with the statements. KCB’s corporate image is favourable as stakeholders have a good feeling towards it, trust and admire and respect it on account of sponsoring sports.
Céu azul, Terra vermelha
Authors: Silva Ythalla Maraysa Da
Published: October 2022

Apresento aqui uma imersão visual em que busco refletir sobre a memória e os afetos. Apoio-me em mulheres que perpassam o meu caminho, algumas ainda em vida e outras já em espírito. Trago objetos que representam fé, espiritualidade, força, resistência, liberdade, o amor e a criança que se faz sempre presente em nós. Nelas, me reconheço enquanto mulher com nossa liberdade, dores e anseios, indo à luta todos os dias, por uma vida digna diante desse sistema opressor. Devemos reconhecer que estamos em maioria e que temos em mãos o poder da mudança. A partir de agora vamos ter que construir o Brasil, cidade, bairro, espaço singular que a gente imagina. Trabalhar os afetos potentes que nos dão capacidade de articulação, de ir à luta. Não deixar que o medo e o ódio se tornem o principal afeto político, nos privando de nos expressar politicamente. Trazer à tona a nossa força e nossa energia de criança, ativar em nós o poder da imaginação e da utopia. Ter em mente que temos o direito ao sonho, que podemos encontrar meios de construir o lugar em que queremos viver. Que o céu sempre será azul para aqueles que entenderem o poder de uma pequena ação e que a terra sempre será vermelha para aqueles que respeitam o sangue que desce entre nossas pernas.
As faces do machismo no discurso empoderador: Análise do Discurso aplicada ao canal Diego Muda Vidas
Authors: Oliveira Maria Eduarda Rodrigues de
Published: October 2022

O presente artigo busca analisar o discurso do canal do youtuber, Diego Muda Vidas, para classificá-lo de acordo com as ideias da Análise do Discurso Francesa. A partir da aplicação desse aporte teórico-metodológico, traçamos uma linha de recorrência de termos e situamos o conteúdo do coach de relacionamentos no contexto sociocultural brasileiro. Na análise de 10 vídeos do youtuber, selecionados e transcritos, ficou evidenciado que o influenciador emprega conceitos machistas para se referir às mulheres que estão ou pretendem estar em um relacionamento heterossexual.
Transcultural self-efficacy among student nurses in a private nursing school
Authors:   , Somoloo Premalena
Published: October 2022

Transcultural nursing is a formal area of study and practice focused on comparative holistic culture, care, health, and illness patterns of people with respect to differences and similarities in their cultural values, beliefs, and ways of life with the goal of providing culture-congruent, competent, and compassionate care (Leininger 1991:29). Nurses are in a unique position to embrace transcultural nursing as it impacts on health care practices and their ability to communicate effectively with patients. An increase in cultural competency usually leads to culturally congruent customary care to accommodate patients’ beliefs, cultural values, lifestyles, practices, and traditions (Schmidt 2015:3). Aim of the study The aim of the study was to explore the level of transcultural self-efficacy among student nurses at a private nursing school in Durban, Kwa Zulu-Natal. Methodology A qualitative research design with an ethnographic, descriptive narrative was used in this study. Ethnography is a qualitative paradigm which involves the description of cultural behaviour, cultural patterns and experiences and shared meanings that shape behaviour (Polit and Beck 2018:220). Data collection comprised of four stages, participant observations, focus group interviews, diaries, and reflections. Focus group interviews were analyzed using Leininger and McFarland’s (2002: 97) four phase data analysis. Findings The research questions were answered regarding the competence, skills, self-efficacy, and confidence of student nurses in their experience of nursing patients from diverse cultures. Three major themes, sub-themes and categories emerged, and these were awareness and self-awareness of culture, respect, caring and self-efficacy. The results showed that nurses believed that the more knowledge and experience they were exposed to, the more skilled and competent they would become, and this would enable them to be confident and efficient in delivering transcultural nursing care.
Handover processes and practices of critically ill patients between nursing staff from the intensive care units of private hospitals in the eThekwini District, KwaZulu-Natal
Authors:   , Anwar Deshni
Published: October 2022

Nursing handover is an integral part of safe patient care in the Intensive Care Unit (ICU).The term handover refers to a nurse taking responsibility and accountability of care from another nurse at the end of the shift and is used interchangeably with terms such as hand-off, handover, sign off, inter-shift report and shift report. Nursing handover can represent a potential risk for patients and health institutions as information during the handover processes can be lost, misinterpreted or miscommunicated. Thus, the process of communication during handover is vital in the fast-paced world of an Intensive Care Unit. Purpose of the study The purpose of this study was to explore handover processes and practices between nursing staff from the Intensive Care Units of private hospitals in the eThekwini district. Methodology A qualitative, exploratory, descriptive design guided the study by implementing the Situation, Background, Assessment and Recommendations (SBAR) framework. In-depth interviews of Intensive Care Nurses were conducted to collect data. Intensive Care Unit trained and experienced Registered Nurses and Enrolled Nurses were interviewed. A total of twenty-two (22) participants were interviewed during the working hours of the participants. Findings The study findings revealed that during handover practices in the Intensive Care Unit communication is the most important component of human interaction and is necessary for the transfer of information from the sender to the receiver. Handover was, however, not consistent in all hospitals and the junior nurses were not given the necessary support and supervision at times, due to the acuity of the patients and the shortage of nurses in the unit. There was no structured handover tool in place to ensure that the process was formalized for all nurses in the Intensive Care Units to follow. Conclusion The study concluded with recommendations made to improve the handover process which included the use of Situation, Background, Assessment and Recommendations (SBAR) framework to ensure that the process is structured, having a team leader free to assist junior staff to ensure the handover runs smoothly, handover processes should be taught in nursing colleges and that nursing management should assist the staff by drawing up a proper handover policy. Further research should be conducted on this topic but in other departments in the hospitals to evaluate how their handover practices are done.
Insurance in the tourism system
Authors: Mirzayeva Ayan
Published: October 2022

Insurance and tourism are of great importance for the development of the country's economy. Services, which include these types of activities, are important components of the national economy. The tourism sector is quite widespread and, according to statistical indicators, occupies one of the first places in the economy in terms of the volume of services provided. Tourism activity makes a significant contribution to the country's economy, contributing to the creation of new jobs and employment of the population, allowing to attract additional funds to the state budget, including foreign exchange, activating foreign trade turnover.
Методичні основи формування оптимальної споживчої цінності транспортного обслуговування пасажирів на залізничних вокзалах і вокзальних комплексах
Authors: Мельник Тетяна , Христофор Олег
Published: October 2022

Визначено відмінності та уточнено поняття залізничного вокзалу і вокзального комплексу. Виділено складові транспортного обслуговування пасажирів, а також основні і додаткові функції вокзалів / вокзальних комплексів. На підставі даних маркетингових досліджень за допомогою кореляційного аналізу доведено вплив важливості для пасажирів окремих додаткових послуг на доходи вокзалів / вокзальних комплексів та величину споживчої цінності транспортного обслуговування.
Системные ошибки современной историографии
Authors: Шульга А.
Published: October 2022

Эта статья освещает часть системных ошибок современной историографии, в том числе, связанных со смысловым наполнением терминов «скифы», «арии», этногенезом и эволюцией языка основного организационного ядра народов Евразии
Цитоморфологічні дослідження радіомодифікація клітинної ланки неспецифічної резистентності в умовахкомбінованої дії природної та техногенної радіації з добомогою бджолиного обніжжя
Authors: Ракша-Слюсарева Олена , Коваленко Поліна , Слюсарев Олексій , Боєва Світлана , Тарасова Ірина
Published: October 2022

З метою корекції виявлених порушень неспецифічної резистентності в умовно здорового населення, що мешкає на території з постійною дією низькоінтенсивної природної радіації, комбінованої з техногенними радіаційними впливами, групі волонтерів додатково до харчового раціону було введено бджолине обніжжя. Проведені дослідження цитоморфологічних змін основних клітин, що забезпечують неспецифічну резистентніст засвідчили ефективність застосування бджолиного обніжжя для радіомодифікації та відновлення показників неспецифічної резистентності. Це проявлялось, після курсу бджолиного обніжжя значним та вірогідним зменшенням:реєстрації клітинних розпадів, вірогідним зменшенням вмісту нейтрофілів з токсогенною зернистістю, тенденцією до зменшення вмісту в пулі нейтрофілів клітин з порушенням цілістності ядерних мембран, що можна пояснити вірогідним зменшенням впливу токсичної складової, послабленням процесу перекісного окислення ліпідів, запалення й руйнування клітин, що забезпечують неспецифічну резистентність.
Comparative analysis of calprotectin and helicobacter pylori in the faces and interleukin-6 in the blood of patients with and without COVID-19 before and after the treatment
Authors: Gadaev Abdigaffar , Ismoilova Muazzamkhon , Turakulov Rustam
Published: October 2022

Aim of the study: To examine the state of the gastrointestinal organs of patients, recovered from Covid-19 using indicators of calprotectin and Helicobacter pylori in feces and interleukin-6 in blood, as well as improvement of the treatment. Materials and methods of the study: In accordance with the aim of the study, 100 patients with gastrointestinal symptoms were observed. 42 of them (42%) were men and 58 (58%) were women. Patients were divided into 2 groups. The first group consisted of patients "relatively recovered" from Covid-19 with no detected immunoglobulin M but with gastrointestinal symptoms (27 men and 33 women; average age 55.06±2.1 years). The second, i.e. control group, consisted of patients, who did not have Covid-19 but had gastrointestinal symptoms (15 men and 25 women; average age 63.4±1.5 years). The levels of calprotectin and H. pylori in feces as well as interleukin-6 in the blood of patients involved in the study were measured.Conclusion. Although positive results were observed after the complex treatment in all groups, in all cases, where patients received rebamipide, changes were more evident. In the group receiving rebamipid a reliable decrease in inflammatory processes in the body of the patients, including the gastrointestinal system was also observed. This was shown by a decrease in calprotectin and H.pylori in their feces and interleukin-6 in their blood.
Clinical and molecular genetic parallels of steroid resistance of acantholytic pemphigus
Authors: Kutasevyc Yanina , Oliinyk Iryna , Abdalla Aliya E-S.E-S.
Published: October 2022

The problem of pharmacological resistance is becoming a challenge for doctors of all specialties, especially for people suffering from severe chronic diseases, which lead to disability and death consequences, which are patients on acantholytic pemphigus (AP), who have to take system glucocorticosteroids (SGCS) for a long term. Among the existing hypotheses of formation of steroid resistance (SR) is perspective study of genetic factors, which are one of the main mechanisms of occurrence of resistance and can be connected with the alleles polymorphism of gene of multidrug resistance (MDR1). The increased expression of this gene leads to the acceleration of the elimation of drugs from cells. The study of molecular genetic peculiarities of SR in patients with AP has not been carried out until now. Thus, the study of polymorphism of MDR1 gene in patients with AP is relevant. The aim. Study the frequency of polymorphism of marker C3435T in gene MDR1 in the relationship with clinical and anamnestic peculiarities of the AP course. Materials and methods. Under the supervision were 33 patients on the AP aged from 29 to 73 years, treated in the dermatological department of the SE "IDV NAMS of Ukraine". The buccal epithelium obtained by scraping mucosa of the oral cavity was examined. The polymorphism of the C3435T marker in the MDR1 gene was determined by the PCR method. The clinical and anamnestic features of patients on AP were evaluated on a specially developed scale. Discussion. The results of the study showed clinical-anamnestic signs of lack of sensitivity to SGCS, which correlated with the results of MDR1 gene expression. The presence in patients with AP in the CT haplotype of the T allele gives reason to classify the group of patients with AP with an index of resistance (IR) as SGCS 7.3 ± 0.6 as a risk group for the development of SR. Conclusion. According to the results of the study in patients with AP, the correlation of clinical-anamnestic signs of SR with the results of gene expression was established MDR
The role of elimination of functional scotoma in the treatment of comitant strabismus (clinic case)
Authors: Zulfiyev Gabil , Gahramanov Hafiz , Ismayilov Gurban
Published: October 2022

INTRODUCTION. Long-term strabismus causes various complications, one of which is functional scotoma or binocular haploscopic suppression. PURPOSE: The main purpose of this article is to show that the elimination of a functional scotoma caused by a complication of strabismus is very important for the elimination of strabismus. MATERIAL AND METODS: A 15-year-old schoolboy with complaints of internal strabismus came to our clinic for surgical correction of strabismus. The patient underwent standard eye examinations and was checked whether or not have movement restrictions in the muscles that move the eyeball. The degree of deviation was measured by Hirschberg's test, alternating prismatic cover test according to generally accepted rules. The examination of the objective angle of strabismus was carried out in the synoptophore. The subjective angle of strabismus, as well as the presence of haploscopic binocular vision, was examined both in the synoptophore and in the "Klinok" computer program. In order to prepare for the operation, appropriate therapeutic exercises were prescribed in the synoptophore and in a special computer program to restore haploscopic binocular vision.RESULTS: BCVA OD=0.9; OS=0.8; EZO 30PD without correction, 15PD with correction. Binocular haploscopic suppression was found. After a 10-day course of orthooptic treatment, haploscopic binocular vision was restored. Deviation angles decreased both without correction and with correction. After a course of diploptic treatment, carried out after a 1-month break, normal binocular vision with correction was achieved. CONCLUSION: Elimination of functional scotoma and restoration of haploscopic binocular vision facilitates the subsequent stages of strabismus treatment, sometimes allowing to obtain normal binocular vision and achieve orthotropy even without surgical operation.
Оптимизация терапии гастроэзофагеальной рефлюксной болезни при коморбидности с функциональной диспепсией
Authors: Зуфаров Пулат , Каримов Мирвасит , Пулатова Наргиза , Саидова Шахноза , Мусаева Лола
Published: October 2022

Показано, что у больных ГЭРБ и ФД применение ингибиторов протонной помпы приводит к снижению изжоги и боли за грудиной. Однако, такие симптомы, как регургитация, отрыжка, чувство раннего насыщения и тяжесть после еды купировались неэффективно. Включение в комплекс лечения прокинетика домперидона в дозе 10 мг 3 раза в день способствовало более эффективной регрессии симптомов нарушения моторики пищевода и желудка.
Аналіз впливу на ціну американського нафтового бареля традиційної геополітики
Authors: Пізінцалі Людмила , Шумило Олександр , Россомаха Олена , Александровська Надія , Россомаха Олег , Рабоча Тетяна
Published: October 2022

Ціна нафти, останні десятиліття, є основним чинником формування бюджету будь-якої країни, фактором розвитку ділової активності держави. Виявлення основних причин зміни ціни бареля, адекватна оцінка їхньої значущості, а також побудова прогнозу розвитку ринку та можливих сценаріїв поведінки на міжнародній арені є особливо актуальними. Автори спробували дослідити роль традиційної геополітики (військових конфліктів, терористичної активності) на сучасному етапі розвитку нафтового ринку за останні п’ять років, що і стало метою даного аналізу.
FLOOD INUNDATION EXTRACTION BASED ON DECISION-LEVEL DATA FUSION: A CASE IN PERU
Authors: Shen M. , Zhang F. , Wu C. Y.
Published: October 2022

Abstract. Every year, millions of people affected and huge property losses by floods were recorded in many parts of the world. Accurately flood inundated areas extraction is essential for disaster reduction. Existed studies have used multi-spectral (MS) data and synthetic-aperture radar (SAR) data or the fusion data to extract flood inundated areas. However, most data fusion methods think less about regional difference and the complementarities between different models. This study explores a new decision-level data fusion method, which pays more attention to the complementarities between models. First, we construct models trained by diverse bands of Sentinel- 1/2 and water indices. Then, divide the whole study area into three parts, cloud-free & non-water area, cloud-free & flood area and cloud area, and select the models suitable for the three areas. Third, combine water extents extracted by selected models with decision tree to obtain water extents before and after disaster. Finally, subtract the water extent before disaster from the water extent after disaster to get flood inundated areas. The experiments in Peru indicated that our method increases the Intersection over Union (IoU) of water extraction to 0.69. Moreover, our method successfully reduces the impact of cloud and shadow owing to the fusion of different features.
A PARALLELED DELAUNAY TRIANGULATION ALGORITHM FOR PROCESSING LARGE LIDAR POINTS
Authors: Song Y. , Li M. , Liu X.
Published: October 2022

Abstract. LiDAR is an important data source for disaster prevention and mitigation, its advantages include speediness, penetration, initiative, high-density and high-precision, high efficiency, information-richness. In this paper, we address the design and implementation of a practical parallel algorithm for Delaunay triangulation that works on massive point cloud data acquired by airborne LiDAR. The algorithm is based on the divide and conquer algorithm, Bowyer-Watson algorithm and triangulation-growth and can be easily extended to multi-core or cluster environment. It first divides the point cloud data into blocks at the MapReduce’s Map phase; then the triangulation network of each block is simultaneously constructed using Bowyer-Watson algorithm on different CPU cores; at the reduction phase, the triangular network of each block is merged and optimized using triangulation-growth and Local Optimization Procedure (LOP). Experimental results show that the speed of the paralleled triangulation algorithm can be improved significantly compared to the sequential algorithm on multi-core desktop computer. The speedup depends on partition of the dataset and the number of CPU cores used, and is usually 2–3 times that of sequential algorithms.
RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA
Authors: Wang X. , Zhang X. , Li M. , Zhou Z. , Chen B. , Xie H.
Published: October 2022

Abstract. China is a country prone to natural disasters, and roads are easily damaged in natural disasters. As the infrastructure of people's production and life and the lifeline of post-disaster rescue, roads play a very important role. There are many previous studies on geological disasters risk assessment, but few special researches on highway geological disasters risk assessment, especially quantitative risk assessment combined with remote sensing images. Therefore, the risk assessment of geological disasters along the road is of great significance for the prevention and control of geological disasters and the protection of life and property safety. Based on GF-6 data and other geographic data, this study used the comprehensive evaluation method to realize the geological disasters risk assessment of the Maoxian-Wenchuan section along the G213 line, and analysed and discussed the causes and spatial distribution of geological disasters along the G213 line. Our study presents several key findings, (1) The order of impact degree of each impact factor is road network density, soil erosion, slope, human activities, vegetation coverage, rainfall, and slope aspect, among them, the road network density factor plays a leading role, and the aspect factor is the least impact factor; (2) The geological disasters risk in the study area is divided into five categories: extremely low risk, low risk, medium risk, high risk, and extremely high risk. In general, the geological disasters risk of the research road section is relatively high, and the risk area division is consistent with the historical disaster point data. The research results can provide reference for the smooth development and implementation of road geological disasters risk assessment in the mountainous areas in southwestern China.
SPATIAL AND TEMPORAL ANALYSIS OF THE INFLUENCE OF GROUNDWATER ON LEAKAGE OF URBAN UNDERGROUND ENGINEERING
Authors: Yu M. , Xu Y. , Li Y. , Song Y. , Feng Z.
Published: October 2022

Abstract. Based on GIS, spatio-temporal analysis in quantitative research, has formed a set of analysis methods and the technical process, in view of the leakage defects mechanism research, first analyzes the regional hydrogeological conditions and uplift area distribution and the change of time and space, and then analyzes the groundwater distribution and vertical time-space distribution of underground projects, groundwater is analyzed again and the spatial and temporal distribution and leakage of underground engineering diseases, Finally, the influence degree and correlation between groundwater and underground engineering diseases in this area are obtained.
CNN-LSTM-ATTENTION DEEP LEARNING MODEL FOR MAPPING LANDSLIDE SUSCEPTIBILITY IN KERALA, INDIA
Authors: Chen C. , Fan L.
Published: October 2022

Abstract. As a typical type of natural disaster, landslides may result in injuries to humans, threats to property security, and economic loss. As such, it is important to understand or predict the probability of landslide occurrence at potentially risky sites. Using typically machine learning (ML) to estimate landslide susceptibility based on a landslide inventory and a set of factors that impact the occurrence of landslides is a common practice. However, in landslide susceptibility assessment, existing DL-based neural network methods use a fully connected layer to optimize the selection of factors, which limits their efficiency in extracting features of those contributing factors. In response to those problems, this study proposed a CNN-LSTM model with an attention mechanism (AM) to avoid the complex optimization of input factors while the same or even better prediction accuracy can be achieved. To compare our method with the existing ones, the historical landslide inventory and the remote sensing data of Kerala, India were used to produce the input variables needed in the methods considered. The results show that our method produced more accurate results, compared to those existing neural network methods (e.g. CNN, LSTM and CNN-LSTM).
TIBETAN PLATEAU SNOW COVER VARYING WITH CLIMATE CHANGE: A REGIONAL CLIMATE PERSPECTIVE
Authors: Feng Y. , Du S. , Zhang X. , Fraedrich K.
Published: October 2022

Abstract. The Tibetan Plateau (TP) is experiencing dramatic climate changes, which increases the geographical hazard risks affecting human lives and properties. As TP holding the largest cryosphere extent outside the polar region, frequent and serious snow disasters become the crucial topic in the TP disaster reduction and management. The primary task to cope with TP snow disasters is to understand the formation and evolution of snow cover as the basis to assess and predict geographical hazards. Considering time variability and spatial heterogeneity, the geographical detector analysis has been adopted to investigate the coupling relationships between snow cover and climate change in the different periods (1989-2018) and different geographical regions (Qaidam areas, Qiangtang areas and Hengduan Mountains). The following results are noted: (i) Regionalization provides a better climate explanation for snow cover compared with the non-regionalized whole plateau model, which verifies again that the snow cover distribution and its driving mechanism both have strong spatial heterogeneity. (ii) Temperature has a dominant influence on the snow cover in all three regions, showing that net surface energy flux balance is the major limitation to the snow cover so that temperature becomes the key factor of snow-related risk management. (iii) The impact of precipitation on snow cover is only significant in the Qaidam areas according to the interaction detector approach, where the combination of temperature and precipitation can explain more than 65% of the snow cover distribution. Thus the Qaidam areas requires risk monitoring related to both hydrological and thermal aspects.
A SPATIOTEMPORAL FUSION NETWORK TO MULTI SOURCE HETEROGENEOUS DATA FOR LANDSLIDE RECOGNITION
Authors: Li B. , Han L. , Li L.
Published: October 2022

Abstract. In recent years, the frequency of landslide disasters has been increasing year by year due to the extension of human activities to the natural environment. Fast and detailed landslide surveys are important for landslide disaster prediction and management. There are many driving factors for landslide formation, and most of the current deep learning-based landslide identification methods use optical remote sensing images in a short period or a few types of fused data for prediction. Therefore the upper limit of accuracy they can achieve is low. This paper proposes a landslide identification network model based on the spatio-temporal fusion of heterogeneous data from multiple sources. The model takes observations such as time-series optical remote sensing images, DEM, geological formations, and meteorological data as inputs. To address the problems of non-uniform data forms and redundancy caused by time-series data, we design the temporal phase fusion module of coupled CNN-LSTM to fuse the temporal features of multi-source data based on the extraction of their spatial features. Subsequently, we design the spatial feature fusion module based on DCNN-DBN to realize the deep expression of temporal phase and spatial features of landslides and improve the recognition efficiency and accuracy of the network. Through experimental verification, the AUC value of our proposed model is 0.8976, the F1 score is 0.8352, and the MIoU is 0.8624. The evaluation results reflect that the model can provide support for large-scale landslide disaster investigation.
AN GROUND AND UNDER-GROUND URBAN ROADS SURVEYING APPROACH USING INTEGRATED 3D LIDAR AND 3D GPR TECHNOLOGY
Authors: Zhou Y. , Hu Q. , Zhang J. , Zhao P. , Yu F. , Ai M.
Published: October 2022

Abstract. Digitalization of urban roads is an important part of smart city construction. In addition to having a basic understanding of the structure of the transportation network, we need to have a preliminary understanding of the information around the road, the current status of the road, and the impact that municipal projects may have on the road. At present, the three-dimensional information of the ground parts of roads can be obtained efficiently and accurately on a large scale by using three-dimensional scanning technology. However, there is a lack of comprehensive and intuitive understanding of the under-ground information and a lack of synergistic consideration of the ground and under-ground information. In this paper, a ground and under-ground urban road surveying system based on 3D LiDAR and 3D ground penetrating radar (GPR) is presented. The system covers multi-sensor coordinated control, time-space datum setup, and post-processing data. Experiments show that the system can realize the integrated ground and under-ground 3D surveying for urban roads, generate intuitive three-dimensional point cloud map model of ground and under-ground of urban roads, and provide effective technical support for smart city construction.
GENERATIVE DESIGN FOR PRECISION GEO-INTERVENTIONS
Authors: Wen R. , Li S.
Published: October 2022

Abstract. The purpose of this research is to develop an approach for a Spatial Decision Support System (SDSS) that integrates Geographic Information Systems (GIS), Automated Machine Learning (AutoML), and Hyperparameter Optimization (HPO) to generate precision geo-interventions based on standardized geospatial data and user design constraints. The geo-intervention generation approach involves three steps: (1) Geo-binning, (2) AutoML, and (3) Prediction Optimization. Geo-binning is used to standardize geospatial data into regularized grids as inputs into AutoML models. Prediction optimization generates geo-interventions by applying user-design constraints and optimizing AutoML model output to find optimized input variables that form precise geo-interventions. An experiment in reducing road traffic collisions using infrastructural changes in Toronto, Ontario, Canada was done to evaluate the geo-intervention generation approach. The results of the experiment found that changing the number of schools, red light cameras, and transit shelters in high traffic areas could potentially halve the total number of traffic collisions according to a 80 by 80 geo-binned grid Auto-Sklearn model with a Mean Absolute Error (MAE) of 117.68. It was also found that user design constraints heavily affected the prediction optimization step as when the areas were altered to an alternative grid of cells with scarce infrastructure, the number of predicted collisions rose by 6127 collisions. Thus, limitations of this study included subjectivity in user design constraints, scalability, and interactivity. Future work involves improving modelling/optimization efficiency and developing an interactive interface for exploring generated precision geo-interventions.
INTEGRATED DIGITAL PLATFORMS FOR THE DOCUMENTATION AND MANAGEMENT OF CULTURAL HERITAGE AT RISK
Authors: Raco F.
Published: October 2022

Abstract. Research definition of strategies and instruments for the prevention, mitigation, and management of hazards resulting from natural or man-made catastrophes is increasingly experimenting with an integrated approach to the digital documentation and visualisation of the built and cultural heritage. In actuality, recent conflicts and events, as well as the rise in natural disasters in previously unaffected regions, demonstrate the growing interest of governments, public administrations and entities, as well as academics, in the development and preservation of the digital memory of man-made landscapes. However, the management of recent catastrophic events allowed for the development of techniques that today enable the transfer of tools and processes from emergency management to routine management.Based on data from recent earthquakes in northern Italy, the current work describes some outcomes of the development of an integrated digital platform for seismic risk management that aims to integrate historical data from previous seismic events, data from existing databases, integrated digital surveys, carried out using integrated survey techniques, and semantically enhanced BIM-based models. The tool is being created as part of a transnational research cooperation initiative with thirteen partners from nations and regions along the Adriatic Sea. The program's overall goal is to improve cross-border emergency services while also raising their degree of safety and efficacy.
MINING METHOD OF TRAFFIC IMPACT AREAS OF RAINSTORM EVENT BASED ON SOCIAL MEDIA IN ZHENGZHOU CITY
Authors: Yang Z. , Wang Q.
Published: October 2022

Abstract. Due to the influence of typhoon "fireworks" on July 20, 2021, there was a rare heavy rainfall in Zhengzhou, Henan Province, China, which caused severe urban waterlogged disasters and casualties. Take it as an example, using Web Crawler technology to obtain Weibo’s (Chinese Twitter) time and space data involved in the rare heavy rainfall in Zhengzhou. Through statistical analysis and spatiotemporal analysis to filter, classify, analyse and manipulate the crawled Weibo’s data, and then study the influence of the extreme rainstorm weather on the traffic areas from two aspects of address points and road networks. At the same time, to verify the effectiveness of the social media-based method for mining the traffic impact areas of the Zhengzhou extreme rainstorm, this experiment compares Weibo data with official data in various aspects according to four categories of waterlogging severity.
THE IMPACT OF WATER RELATED ECO-PLANNING ON ECOLOGICAL EFFECTIVENESS IN MEGACITY BEIJING, CHINA
Authors: Fu W.
Published: October 2022

Abstract. Calls have been made for water and ecological planning and design to tackle the ongoing environmental degradation, yet the gaps are not clear where the implemented water (blue) and ecological (green) infrastructure might help to improve the ecosystem services. We selected mega-city Beijing, the pioneer of the “Ecological Priority” strategy, as the study area. We evaluated the conformance and performance of Beijing's water-related ecological planning implementation on ecological effectiveness from 2000 to 2015. The morphological spatial pattern analysis (MSPA) method was used to extract the blue-green ecological source areas to conform with blue-green plannings. Support, regulation and supply ecosystem services were simulated to integrate ecological effectiveness and its temporal-spatial dynamics. The results show a gradual increase in the proportion of spatial conformance, which remained higher than that of spatial low conformance. The trend of the performance of the implementation based on the analysis of ecosystem services decreased. Our results will help inform upcoming actions related to blue-green planning and management in mega-cities.
ROBUST TECHNIQUES FOR BUILDING FOOTPRINT EXTRACTION IN AERIAL LASER SCANNING 3D POINT CLOUDS
Authors: Nurunnabi A. , Teferle N. , Balado J. , Chen M. , Poux F. , Sun C.
Published: October 2022

Abstract. The building footprint is crucial for a volumetric 3D representation of a building that is applied in urban planning, 3D city modeling, cadastral and topographic map generation. Aerial laser scanning (ALS) has been recognized as the most suitable means of large-scale 3D point cloud data (PCD) acquisition. PCD can produce geometric detail of a scanned surface. However, it is almost impossible to get point clouds without noise and outliers. Besides, data incompleteness and occlusions are two common phenomena for PCD. Most of the existing methods for building footprint extraction employ classification, segmentation, voting techniques (e.g., Hough-Transform or RANSAC), or Principal Component Analysis (PCA) based methods. It is known that classical PCA is highly sensitive to outliers, even RANSAC which is known as a robust technique for shape detection is not free from outlier effects. This paper presents a novel algorithm that employs MCMD (maximum consistency within minimum distance), MSAC (a robust variant of RANSAC) and a robust regression to extract reliable building footprints in the presence of outliers, missing points and irregular data distributions. The algorithm is successfully demonstrated through two sets of ALS PCD.
ROAD EXTRACTION BASED ON IMPROVED DEEPLABV3 PLUS IN REMOTE SENSING IMAGE
Authors: Wang H. , Yu F. , Xie J. , Wang H. , Zheng H.
Published: October 2022

Abstract. Urban roads in remote sensing images will be disturbed by surrounding ground features such as building shadows and tree shadows, and the extraction results are prone to problems such as incomplete road structure, poor topological connectivity, and poor accuracy. For mountain roads, there will also be problems such as hill shadow or vegetation occlusion. We propose an improved Deeplabv3+ semantic segmentation network method. This method uses ResNeSt, which introduces channel attention, as the backbone network, and combines the ASPP module to obtain multi-scale information, thereby improving the accuracy of road extraction. Analysis of the experimental results on the Deeplglobe dataset shows that the intersection ratio and accuracy of the method in this paper are 63.15% and 73.16%, respectively, which are better than other methods.
Effect of structural setting of source volume on rock avalanche mobility and deposit morphology
Authors: Duan Zhao , Wu Yan-Bin , Zhang Qing , Li Zhen-Yan , Yuan Lin , Wang Kai , Liu Yang
Published: October 2022

Abstract. Deposit morphologies and sedimentary characteristics are methods
for investigating rock avalanches. The characteristics of structural geology
of source volume, namely the in-place rock mass structure, will influence
these two deposit characteristics and rock avalanche mobility. In this
study, a series of experiments were conducted by setting different initial
configurations of blocks to simulate different characteristics of structural
geology of source volume, specifically including the long axis of the blocks
perpendicular to the strike of the inclined plate (EP), parallel to the strike
of the inclined plate (LV), perpendicular to the inclined plate (LP), randomly (R)
and without the blocks (NB) as a control experiment. The experimental
materials comprised both cuboid blocks and granular materials to simulate
large blocks and matrixes, respectively, in natural rock avalanches. The
results revealed that the mobility of the mass flows was enhanced in LV, LP
and R configurations, whereas it was restricted in the EP configuration. The
mobility decreased with the increase in slope angles at LV configurations.
Strand protrusion of the blocks made the elevation of the deposits at LV
configuration larger than that at EP, LP and R configurations. A zigzag
structure is created in the blocks resulting from the lateral spreading of
the deposits causing the blocks to rotate. Varying degrees of deflection of
the blocks demonstrated different levels of collision and friction in the
interior of the mass flows; the most intensive collision was observed at EP.
In the mass deposits, the blocks' orientation was affected by their initial
configurations and the motion process of the mass flows. This research would
support studies relating characteristics of structural geology of source
volume to landslide mobility and deposit morphology.
Motivational Case Study Videos With R Analyses of the Data
Authors:   University of Otago, Harraway John , Schofield Matthew ,   University of Otago, Allen Jessica ,   University of Otago
Published: October 2022

Twenty motivational videos that focus on applied statistics are available on the University of Otago website. These are accompanied by data and lessons that are targeted at students in schools and universities that use GenStat software. The videos and lessons cover a range of techniques and have been popular with over 100,000 page visits since 2011. We outline transitioning the lessons to R software. R is freely available and widely used, including in the statistics curriculum at the University of Otago. The updated lessons are written using the Quarto package and are available online. Relative to static documents, no downloads are required, and the lessons offer new possibilities for interaction between the students and code.
Multisensory Learning for Students With Disabilities
Authors:   The University of Auckland, Renelle Amy , Jones Rhys ,   The University of Surrey
Published: October 2022

Multisensory learning is an educational approach whereby a variety of sensory cues provide learners with alternative experiences of concepts. In exploring New Zealand secondary school mathematics and statistics teachers’ use of multisensory learning, the impact of teaching students with a range of disabilities is considered. The use of multisensory elements appears to be dependent on the senses being utilised and the kind of disabilities these students have. A teacher’s preference towards multisensory learning is therefore influenced by these factors. When considering the extent of multisensory elements to be included in task design, it is important to consider the intended users and accessibility of these features. Because statistics is a visually-dependant subject, there is a need for more research into how we can expand inclusivity in statistics education.
Statistics Students’ Perspectives of Forced Online Learning
Authors:   University of Glasgow, Lindgren Kara , Bock Mitchum ,   University of Glasgow, Alexander Craig ,   University of Glasgow, Jack Eilidh ,   University of Glasgow, Marshall Ellen ,   Sheffield Hallam University
Published: October 2022

We describe a study that explored perceptions and experiences of statistics students at universities in the United Kingdom who had to adjust to learning online as a result of COVID-19 restrictions. Students from two universities (one research-intensive, the other with a teaching focus), and groups of first- through third-year students from five undergraduate statistics courses were surveyed. The wellbeing of students studying online differed between the two universities, and wellbeing was related to students’ experiences of learning remotely, with more negative wellbeing scores associated with worsening online learning experiences. Students did not feel they interacted as well with their peers or lecturers in an online learning environment compared to in-person learning. This study can inform statistics educators how to better support their students’ learning.
Exploring Statistics Anxiety in Several Introductory Statistics Courses to Understand Differences Between Types of Students and Types of Courses
Authors:   University of Glasgow, Alexander Craig , Jack Eilidh ,   University of Glasgow, McEwan Michael ,   University of Glasgow, Bock Mitchum ,   University of Glasgow
Published: October 2022

Despite its importance in modern curricula, many students find statistics courses challenging, and the existence of barriers among students to learning statistical reasoning is an important area of study. This study explores the presence and level of statistics anxiety in several cohorts of students studying introductory statistics. The relationship with statistical anxiety dependent on specialisms is explored, along with their curricular choices. An online questionnaire was developed to explore the effects of statistical anxiety and attitudes towards learning statistics. Comparisons were made both within and between the cohorts of students and showed that demographic factors and gender play a minor but statistically significant role in explaining levels of statistical anxiety, but that no significant differences in statistics anxiety existed between cohorts.