bluuebunny/crossref_metadata_2025 huggingface dataset:
First detection of Cyclopterus lumpus virus in England, following a mortality event in farmed cleaner fish
Authors: Edwards M. , Bignell J.P. , Papadopoulou A. , Trani E. , Savage J. , Joseph A.W. , Wood G. , Stone D.M.
Published: December 2022

Lumpfish are used routinely as cleaner fish to delouse farmed Atlantic salmon (Salmo salar) and are often translocated globally. In September 2021, an aquaculture production business in Dorset, England experienced considerable mortalities in consignments of lumpfish (Cyclopterus lumpus) imported from Norway. Following suspicion of infection with Cyclopterus lumpus virus (CLuV) by a veterinarian, commercial testing provided presumptive confirmation of a CLuV infection using reverse-transcription real-time polymerase chain reaction (RT-rPCR). Affected fish were later resampled by the Centre of Environment, Fisheries, and Aquaculture Science, Fish Health Inspectorate for screening of CLuV by RT-rPCR, and confirmation by conventional RT-PCR and sequence analysis. Additional samples were tested using isolation of viruses on cell cultures, bacteriology, histopathology, and PCR/rPCR techniques to investigate whether other pathogens of concern to the salmon aquaculture industry were also present. All samples tested negative for the presence of viral haemorrhagic septicaemia virus, infectious haematopoietic necrosis virus , nervous necrosis virus, infectious pancreatic necrosis virus , infectious salmon anaemia virus , ranavirus, and salmonid alphavirus. Four pools of ten samples tested positive by RT-rPCR for CLuV (Ct values between 19 and 29) and was confirmed using conventional RT-PCR. Sequence analysis showed that amplicons shared a 99.63 % match with the published sequences for CLuV. The CLuV has only recently been reported in aquatic animals and its full impact is not yet known. To the best of our knowledge this is the first report of CLuV in England.
Effect of Anxiety on the Children Brain Structure: Consequences for Children Emotional Healthiness
Authors: MuzamilHussainAlHussaini MuzamilHussainAlHussaini
Published: December 2022

Significant changes in emotional and cognitive functioning, as well as an increase in stress-related psychiatric disorders like anxiety and depression, are all related to adolescent growth. Additionally, the brain is undergoing tremendous maturation at this period, as evidenced by structural changes in numerous limbic and cortical regions. Although the adolescent-related alterations in these regions have been well-described by numerous exquisite human neuroimaging studies, surprisingly less is known about these changes in non-human animals.
GWAP - Global Warming Analysis and Prediction Portal
Authors: Prof. Shailesh Kurzadkar  , Mohit N. Madelwar  , Durgesh K. Beldar  , Adiba S. Sheikh  , Siddhant Shende
Published: December 2022

Global warming Analysis and prediction system is an application made Specifically for desktop purpose. This software Implement certain ways of analyzing and predicting the major causes of global warming such as power plants, oil drilling, deforestation etc. Also show the details about the Global warming. Each user first makes their login to server to show their identity. This software keeps the track of shared complaint and gets the specific Global warming related information very easily. The overall data will be showed in the statically manner.
Proposed Business Model and Business Strategy for Financial Planning Business in Young Middle Class Family Market
Authors: Hafiz Abdul , Hudrasyah Herry , Garnida Nita
Published: December 2022

Financial planners have been presumed to be expensive and luxurious service and are only needed by people who have assets. While in fact, financial planner is more needed by middle-class people experiencing financial issues. However, there are not many financial planning firms that specifically address this problem. FinansialKita is a financial planning online platform that will provide services segmented especially to these particular segments. As a new venture in the financial planning sector, FinansialKita does not have a proper business model and business strategies to enter the market. This paper is made and aims to find a befitted business model and business strategies for FinansialKita, specifically for the young middle-class family. This research used a qualitative approach with case study method. The data were collected by interviewing correspondents’ financial behavior and preferences. The data was then analyzed using the strategy diamond framework to generate a business model for FinansialKita and its business strategies. This research shows that the FinansialKita business model should focus on providing its customers with educational services rather than financial planning consultations. The proposed business strategy will focus on building image, brand, and reputation to gain trust from customers.
Assessment of the Effects of Host Country Macroeconomics on Performance of Cross Listed Firms in East Africa
Authors: Pastory Dickson
Published: December 2022

This study makes assessment of the effects of host country macroeconomic factors on the performance of cross listed firms in East Africa. It uses quarterly time series from March 2010 to December 2020. The study used stock prices of five Kenyan companies that are cross listed in the stock markets of Uganda and Tanzania. The overall model capturing the impact of the macroeconomic factors on the average prices of stocks shows that interest rate exerts positive and significant impact on the stock market performance, while, inflation has negative and significant effects on the stock market performance in both Uganda and Tanzania. GDP is statistically not significant in influencing the stock prices in both countries. On the other hand, the model that captures individual effect provides mixed result in both Uganda and Tanzania, with the negative effect of inflation reported in three firms in Uganda and two firms in Tanzania; while, a positive effect is found in one firm listed in Uganda and two firms listed in Tanzania. Similarly, the effect of interest rate is positive for three firms in both Uganda and Tanzania; and it is negative in one firm listed in both USE and DSE. GDP negatively affect stock prices of two firms in Tanzania and positively affect the prices of one firm in Uganda. The study concludes that macroeconomic variables exert effect on stock returns of the cross listed firms in East Africa.
Pengaruh Kehamilan Tidak Diinginkan Dengan Berat Bayi Lahir Rendah di Perdesaan (Analisis Data Survei Demografi Kesehatan Indonesia 2017)
Authors: Mulyaningrum Desya , Rahmaniati Martya
Published: December 2022

BBLR adalah berat bayi lahir kurang dari 2500 gram (sampai dengan 2499 gram). Proporsi BBLR di Indonesia dari periode SDKI 2007, 2012, 2017 cenderung stabil dan tidak ada penurunan dari tahun 2007 dengan tahun 2017. Kehamilan tidak diinginkan menjadi salah satu faktor risiko BBLR. Kehamilan tidak diinginkan (unwanted pregnancy) adalah suatu kehamilan yang terjadi di luar perencanaan. Karena pasangan suami atau istri tidak mau menggunakan kontrasepsi, tidak ada akses ke pelayanan KB sehingga menyebabkan kehamilan, dimana sceara fisik atau psikologis pasangan tidak siap dan menolak kejadian kehamilan (unwanted pregnancy). Proporsi kehamilan tidak diinginkan berdasarkan periode SDKI 2007, 2012, 2017 cenderung stabil. Penelitian ini bertujuan untuk mengetahui pengaruh kehamilan tidak diinginkan terhadapp kejadian BBLR perdesaan di Indonesia berdasarkan data sekunder SDKI 2017. Penelitian ini menggunakan data Survei Demografi dan Kesehatan Indonesia (SDKI) 2017. Sampel penelitian ini adalah kelahiran hidup dalam 5 tahun sebelum survei dengan laporan berat lahir yang memiliki berat kurang dari 2500 gram dan bertempat tinggal di pedesaan. Hasil penelitian ini adalah proporsi kejadian kehamilan tidak diinginkan di Indonesia adalah 6,3% di perdesaan. Pada daerah perdesaan kehamilan diinginkan lebih berisiko untuk mengalami BBLR setelah dikontrol dengan variabel tingkat ekonomi, komplikasi kehamilan, dan kunjungan ANC. Hasil analisis multivariat secara statistik kategori kehamilan dengan BBLR di perdesaan menunjukkan hubungan yang tidak bermakna.
A case of type 1 Diabetes mellitus unresponsive to insulin glulisine
Authors: KARAGÖZ ÖZEN Düriye Sıla , ERGİN Ali Uğur , DEMİR Orhan , DEMİRAĞ Mehmet Derya
Published: December 2022

A 29-year-old man applied to the internal medicine outpatient clinic with fatigue and high plasma glucose levels. He had type 1 Diabetes Mellitus for 10 years and was using insulin glargine U300 and insulin glulisine for treatment. His glycosylated hemoglobin level was 16.7%, and he was hospitalized. Insulin doses were calculated as 1 unite/kg /day; glulisine 3x8 unit/day and glargine U300 1x18 unit/day were ordered. Although we increased the total insulin dosage to 1,5 units/kg/day, the plasma glucose measurements did not improve. The short-acting insulin analog was switched to insulin aspart based on the fact that insulin autoantibodies might cause this situation. On aspart treatment, the patient suffered from hypoglycemia with the same doses of glulisine. The occurrence of insulin autoantibodies against glulisine was confirmed clinically. Basal insulin dose was reduced to 20 units, and aspart 3x6 units/day was enough for plasma glucose control. 

Hyperglycemia due to autoantibodies against analog insulins is very rare. Here we report a type 1 Diabetes Mellitus patient who was on glulisine treatment for 10 years, and whose blood glucose measurements deteriorated recently. Hyperglycemia was regulated after the insulin switch from glulisine to aspart. This rare case report must be kept in mind in hyperglycemic patients with a history of long-time analog insulin treatment.
Electrochemical biosensor for simultaneously detection of Tamoxifen
Authors: SUBAK Hasret
Published: December 2022

Cancer is described as the uncontrollably multiplying abnormal proliferation of cells. Cancer can affect everyone, and risk of which rises with age, lifestyle, and environmental toxins. Tamoxi̇fen (TAM) which is a selective estrogen receptor modulator, has estrogenic or antiestrogenic effects on the breast tissue by binding to the estrogen receptors. The current study presents a voltammetric biosensor to identify the effect of Tamoxifen on DNA structure. In this study, the effect of TAM on the double-stranded DNA (dsDNA) was investigated electrochemically in both the presence and absence of antioxidants. For this purpose, TAM-dsDNA-antioxidant interaction investigated by using the pencil graphite electrode (PGE). The DNA modified sensor was created simply by wet-adsorbtion method. The prepared biosensor was examined electrochemically by square wave voltammety (SWV) method, and its lowest concentration and optimum pH range were determined. The effect of TAM on dsDNA was investigated simultaneously for the first time in the literature.
ANALISIS TATA KELOLA TEKNOLOGI INFORMASI DI SANGGAR TARI ABC MENGGUNAKAN COBIT 4.1
Authors: Hardiani Tikaridha , Nurul Latifah
Published: December 2022

Tata kelola teknologi informasi adalah suatu cabang dari tata kelola perusahaan yang berfokus pada sistem teknologi informasi (TI) serta manajemen kinerja dan risikonya. Penerapan teknologi informasi yang ada di Sanggar Tari ABC saat ini masih terbatas. Sistem yang telah digunakan di Sanggar Tari ABC sangatlah terbatas bahkan hampir tidak ada aplikasi sendiri atau khusus untuk mengelola proses operasional. Sanggar Tari ABC sudah berlangganan untuk cloud computing yakni WD Digital sebagai media back up penyimpanan dan sebagai server jika data sewaktu-waktu dibutuhkan. COBIT 4.1 dipilih guna menentukan seberapa tingkat kematangan tata kelola teknologi informasi yang dijalankan di Sanggar Tari ABC dan berapa target yang akan dicapai untuk meningkatkan kualitas tata kelolanya. Hasil yang diperoleh tingkat kematangan tata kelola di Sanggar Tari ABC saat ini berada di level 2 dan untuk target yang ingin dicapai kematangan level 4, meningkatkan level kematangan hingga menuju target harus melalui level 3 terlebih dahulu sebelum sampaii ke level tujuan.  Rekomendasi untuk meningkatkan kematangan dari tata kelola juga diberikan untuk meningkatkan level.
Cognitive Mathematical Modeling Competencies of Primary School Teachers Candidates
Authors: KOÇ Damla , ELÇİ Aysun Nüket
Published: December 2022

This research aims to reveal the development of cognitive modeling competencies of primary school teachers candidates throughout their mathematical modeling education. The research was designed as a case study. The research was carried out with the participation of 12 primary school teachers candidates. Research data were collected online through Microsoft Teams due to the ongoing COVID-19 outbreak conditions. 11 mathematical modeling activities selected from the literature were used. Research data consisted of the answers provided by the primary school teachers candidates within the scope of mathematical modeling activities. Data collection tools used were the modeling problems extracted from the literature along with the rubric. Research findings revealed that pre-service teachers got the highest and the lowest scores in the lower stages of rubric from understanding the problem and the validating dimensions respectively. The second dimension in which the pre-service teachers were more frequently successful was the interpreting dimension. Their success in the simplifying, mathematizing and working mathematically dimensions were observed as rather moderate. The most successful problem of all groups is the Whitewash Problem. Except for one group, the most unsuccessful problem of all groups was the Tooth Brushing Problem.
Mardin Tarihî 1. Cadde Yayalaştırma ve Sokak Sağlıklaştırma Projesinin Mekânsal ve Sosyokültürel Etkileri
Authors: KARATAŞ Lale , ALPTEKİN Aydın , YAKAR Murat
Published: December 2022

Birçok tarihi kentte olduğu gibi Mardin’de de, hızlı kentleşme ile beraber, araç ulaşımına bağımlı bir ulaşım sistemi ortaya çıkmış ve bu bağımlılık nedeniyle kentin tarihi alanlarındaki ana akslar yaya kullanımı açısından kamu yararını gözetme özelliğini yitirmeye başlamıştır. Mardin kentsel sit alanında tarihi çarşı aksında yer alan 1. Cadde, çok sayıda geleneksel zanaat ustasının bulunduğu ve turizm cazibesi olan kültürel değere erişim sağlayan en önemli caddedir. Üzerinde ve yakınındaki ara sokaklarda bulunan 1500 civarındaki işyeri nedeniyle, Yenişehir irtibatlı tüm toplu taşıma hatları bu caddeden geçmektedir. Üzerinde yaşanan trafik sorunları ve trafik sorunlarının tarihi çevrede oluşturduğu pek çok problem nedeniyle, yakın bir zamanda cadde aksında yayalaştırma ve sokak sağlıklaştırma uygulaması yapılmıştır. Bu çalışmada, tarihi Mardin kentsel sit alanında bulunan 1. Cadde yayalaştırma ve sağlıklaştırma uygulamasının, tarihi kente olan fiziksel ve sosyoekonomik katkılarının belirlenmesi amaçlanmıştır. Projenin kente olan fiziksel ve sosyoekonomik katkılarının belirlenmesinde; arşiv araştırması, gözlemsel tespit, fotoğrafla belgeleme ve görüşme yöntemleri kullanılmıştır. Çalışmadan elde edilen bulgularda; Mardin 1. Caddenin yayalaştırılması ve sokak sağlıklaştırılması entegre projesi ile, tarihi Mardin’in ana aksı olan 1. Caddenin, araç trafiğinden büyük ölçüde arındırılarak bir yürüme-kültür rotasına dönüştürülmesinin mümkün olduğu görülmüştür. Böylece alt sokak ve çarşıların daha kolay eklemlenmesine yönelik altyapı oluşturulabilmiş, sosyal yaşam kolaylaştırılarak kent sakinlerinin alanda kalıcılığı sağlanmıştır.
A PREVIDÊNCIA COMPLEMENTAR E AS MUDANÇAS ADVINDAS COM REFORMA DA PREVIDÊNCIA (EC. 103/2019)
Authors: Lisboa Bianca dos Santos , Sottili Luciana Adélia
Published: December 2022

Para a maioria das pessoas, a aposentadoria é uma fase muito esperada, um momento de mais tranquilidade e descanso. No entanto, os baixos valores recebidos a título de aposentadoria impedem que grande parte da população brasileira possa viver dignamente. Surge então o questionamento, como seria possível garantir uma melhor estabilidade financeira para o trabalhador no momento da sua aposentadoria? É nesse contexto que se insere a previdência complementar como uma possibilidade em contratar um plano que possa amparar o indivíduo, servindo de apoio em seu sustento. Este artigo tem como objetivo abordar o conceito de previdência complementar, descrevendo sua estrutura e possibilidades.
The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color
Authors: Gao Meng , Knobelspiesse Kirk , Franz Bryan A. , Zhai Peng-Wang , Cairns Brian , Xu Xiaoguang , Martins J. Vanderlei
Published: December 2022

Abstract. Multi-angle polarimetric (MAP) measurements contain rich information for characterization of aerosol microphysical and optical properties that can be used to improve atmospheric correction in ocean color remote sensing. Advanced retrieval algorithms have been developed to obtain multiple geophysical parameters in the atmosphere-ocean system, although uncertainty correlation among measurements is generally ignored due to lack of knowledge on its strength and characterization. In this work, we provide a practical framework to evaluate the impact of the angular uncertainty correlation from retrieval results and a method to estimate correlation strength from retrieval fitting residuals. The Fast Multi-Angular Polarimetric Ocean coLor (FastMAPOL) retrieval algorithm, based on neural network forward models, is used to conduct the retrievals and uncertainty quantification. In addition, we also discuss a flexible approach to include a correlated uncertainty model in the retrieval algorithm. The impact of angular correlation on retrieval uncertainties is discussed based on synthetic AirHARP and HARP2 measurements using a Monte Carlo uncertainty estimation method. Correlation properties are estimated using auto-correlation functions based on the fitting residuals from both synthetic AirHARP and HARP2 data and real AirHARP measurement, with the resulting angular correlation parameters found to be larger than 0.9 and 0.8 for reflectance and DoLP, respectively, which correspond to correlation angles of 10° and 5°. Although this study focuses on angular correlation from HARP instruments, the methodology to study and quantify uncertainty correlation is also applicable to other instruments with angular, spectral, or spatial correlations, and can help inform laboratory calibration and characterization of the instrument uncertainty structure.
WHY IT MAKES SENSE TO USE HIGH COST SENSORS TO DO LOW COST SENSOR RESEARCH
Authors: Lehtola V. V. , Hyyti H. , Malkamäki T.
Published: December 2022

Abstract. The question is highly topical in the world that is aiming to acclaim more efficiency through an omnipresence of sensors. The implication of the omnipresence of sensors clearly is that most of these sensors will be of the low-cost type. Hence, there is a call for research utilizing low-cost sensors. However, paradoxically, it often makes sense to use high-cost sensors to do this research. Here, we open up this apparent paradox and argue why high-cost sensors are not only greatly useful but also critically required in low-cost sensor research. We offer different examples that support this argument but discuss also limitations and cases where the argument does not hold.
UAV-BASED SURVEY: THE CASE OF COLONIA VARESE IN MILANO MARITTIMA
Authors: Bartolomei C. , Morganti C.
Published: December 2022

Abstract. The Maritime Colonies are an important part of Italy's cultural heritage buildings. The research focuses attention on a survey with an Unmanned Aerial Vehicles (UAV), using photogrammetry to determine features such as dimensions, object shape, volumes, areas, distances, elevations, and set up the reconstruction of a digital model of the Varese Colony, located in Milano Marittima, in the province of Ravenna. To digitize this structure, it was necessary to use a camera network capable of creating nadir and oblique images with different baselines. The proposed method has proven convincing in real-world application because of its workability, easy implementation, area coverage, and can be used in a wide range of applications on artifacts of many different morphologies.
PHOTOGRAMMETRY NOW AND THEN – FROM HAND-CRAFTED TO DEEP-LEARNING TIE POINTS –
Authors: Morelli L. , Bellavia F. , Menna F. , Remondino F.
Published: December 2022

Abstract. Historical images provide a valuable source of information exploited by several kinds of applications, such as the monitoring of cities and territories, the reconstruction of destroyed buildings, and are increasingly being shared for cultural promotion projects through virtual reality or augmented reality applications. Finding reliable and accurate matches between historical and present images is a fundamental step for such tasks since they require to co-register the present 3D scene with the past one. Classical image matching solutions are sensitive to strong radiometric variations within the images, which are particularly relevant in these multi-temporal contexts due to different types of sensitive media (film/sensors) employed for the image acquisitions, different lighting conditions and viewpoint angles. In this work, we investigate the actual improvement provided by recent deep learning approaches to match historical and nowadays images. As learning-based methods have been trained to find reliable matches in challenging scenarios, including large viewpoint and illumination changes, they could overcome the limitations of classic hand-crafted methods such as SIFT and ORB. The most relevant approaches proposed by the research community in the last years are analyzed and compared using pairs of multi-temporal images.
MACHINE LEARNING AS AN ALTERNATIVE TO 3D PHOTOMODELING EMPLOYED IN ARCHITECTURAL SURVEY AND AUTOMATIC DESIGN MODELLING
Authors: Palestini C. , Basso A. , Perticarini M.
Published: December 2022

Abstract. This paper presents some experiments on the use of an alternative technique, Nerf, based on artificial intelligence, which can be used in the survey of architectural structures or parts of them. The Nvidia video cards supported by the new RTX architectures are now able to manage an enormous amount of data both in the calculation of lighting and the rendering of digital shaders, and in the management of the number of polygons that can be displayed in real time in the scene. The support of artificial intelligence has further improved the three-dimensional digitization process in order to support the hardware power of algorithms that use neural networks to optimize and reduce calculation times, improving various aspects of the graphics and also of the digital representation, also influencing the representation on “image based” 3D acquisition methods, currently the most used low-cost systems in the photomodeling of objects or three-dimensional scenes. At the current state of the art, many commercial companies and research organizations, first Nvidia with its Instant Nerf, are betting on algorithms based on the Neural Radiance Field. The paper highlights the criticalities of this new system and shows the discrete results and the expandable research scenarios that can involve the impossible survey with photomodeling methodology related to works of art or architecture, due to the intrinsic nature of the materials that they compose them or because it is impossible or very difficult to photograph them.
EVALUATION OF 3D MODEL OF REBAR FOR QUANTITATIVE PARAMETERS
Authors: Qureshi A. H. , Alaloul W. S. , Murtiyoso A. , Hussain S. J. , Saad S. , Oad V. K.
Published: December 2022

Abstract. The construction industry practices and processes are evolving constantly, and with the emergence of Industry 4.0, the use of technologies is expanding. Construction progress monitoring is an essential project lifecycle process; project success and timely completion are linked with effective progress monitoring operations and adopted tools. In the domain of automated construction progress monitoring, 3D modeling techniques have been studied a lot, with laser scanning and photogrammetry as two main methods. Although laser scanning provides precise and detailed 3D models, it is an expensive technology. Moreover, the literature reveals that for digitized construction progress monitoring, the major focus has been given to primary reinforced concrete (RC) structures compared to rebar. In contrast, rebar is a key element in RC structures, as structural integrity is dependent on steel reinforcement design, which makes rebar monitoring an essential activity. This study aimed to devise an automated monitoring digital-based methodology for effective and efficient onsite rebar monitoring considering quantitative parameters e.g., rebar length and rebar spacing. The developed module successfully interpreted photogrammetry-based 3D point cloud rebar model for the aforementioned parameters with an overall achieved accuracy ≥ 98%.
LOW COST 3D RECONSTRUCTION OF CAVE PAINTINGS FOR THE CONSERVATION OF COLOMBIAN HISTORICAL MEMORY: CASE STUDY INDIGENOUS ROCK ART OF THE SACRED PLACE “PIEDRAS DE TUNJO”
Authors: Bachiller C. P. , Upegui E.
Published: December 2022

Abstract. Anthropic activities are produced by constant human activity in nature which, over time, account for the different civilizations. Rock art allows through pictorial manifestations to capture these anthropic activities, which in many parts of the world are preserved as cultural heritage. Colombia, unfortunately, has an incipient development with the conservation of its cultural and intangible heritage, which has had little progress in recent times, if it is about indigenous cave paintings (Méndez-Vargas, 2019). According to history, the first settlers of the Bogotá Savannah lived in the area currently called "Las Piedras de Tunjo" considered a sacred place by the Muiscas - our ancestors. This area located in the municipality of Facatativá, and is currently constituted as one of the five archaeological parks that Colombia has, is 27 hectares and is located at a height of 2600 meters above sea level. In 1912, Rosales, seeing the spatial richness, stated that these stones should be looked at with interest and carefully cared for, because apart from the rugged beauty of the site, they witnessed important events for Colombia. The pictographs on the rock are now believed to date back more than 12,000 years. Although there are multiple images and videos of the site, this project seeks to approach the 3D reconstruction of an area of the park through SfM photogrammetry (Structure-from-Motion - Westoby, 2012) with a low-cost and easy-to-implement methodology (Santagati et al., 2017; Tavera et al., 2019) to promote historical conservation and Colombian cultural heritage in an indigenous sacred place to democratize it. This work documents different experiments and their results, of the 3D reconstruction using different data sources and software that will allow it to be an input in archeology to better understand the indigenous history of the area that was deteriorated in the 20th century.
CAMORPH: A TOOLBOX FOR CONVERSION BETWEEN CAMERA PARAMETER
CONVENTIONS
Authors: Brand B. , Bätz M. , Keinert J.
Published: December 2022

Abstract. Defining or estimating camera poses and attributes is a vital part of computer graphics and computer vision. These areas encompass a vast amount of sub-fields like virtual reality, photogrammetry, computer generated imagery and many more. It is desirable to share this camera data between applications of these different areas to leverage their strengths in a workflow. However, a great amount of formats and conventions make it difficult to transport camera parameters from one software package to another. This paper presents an easy to use python library camorph to convert different formats into each other which enables the usage of a multi-software workflow for the best possible results and facilitates the comparison of different methods.
REVIEW OF WINDOW AND DOOR TYPE DETECTION APPROACHES
Authors: De Geyter S. , Bassier M. , De Winter H. , Vergauwen M.
Published: December 2022

Abstract. The use of as-built Building Information Models (BIM) has become increasingly commonplace. This process of creating a BIM model from point cloud data, also referred to as Scan-to-BIM, is a mostly manual task. Due to the large amount of manual work, the entire Scan-to-BIM process is time-consuming and error prone. Current research focuses on the automation of the Scan-to-BIM pipeline by applying state-of-the-art techniques on its consecutive steps including the data acquisition, data processing, data interpretation and modelling. By automating the matching and modelling of window and door objects, a considerable amount of time can be saved in the Scan-to-BIM process. This is so because each window and door instance needs to be examined by the modeller and must be adapted to the actual on-site situation. Large object libraries containing predefined window and door objects exists but the matching to the best-fit predefined object remains time consuming. The aim of this research is to examine the possibilities to speed up the modelling of window and door objects. First, a literature review discussing existing methods for window and door detection and matching is presented. Second, the acquired data is examined to explore the capabilities of capturing window and door information for different remote sensing devices. Followed by tests of some commonplace features in the use for window and door occurrence matching and clustering.
EXTRACTION OF ROAD MARKINGS FROM MLS DATA: A REVIEW
Authors: Barçon E. , Landes T. , Grussenmeyer P. , Berson G.
Published: December 2022

Abstract. Nowadays, Mobile Laser Scanning (MLS) systems are more and more used to realize extended topographic surveys of roads. Most of them provide for each measured point an attribute corresponding to a return signal strength, so called intensity value. This value enables to easily understand uncolored MLS as it helps to differentiate materials based on their albedo. In a road context, this intensity information allows to distinguish, among others, the main subject of this paper, i.e. road markings. However, this task is challenging. Road marking detection from dense MLS point cloud is widely studied by the research community. It might concern road management and diagnosis, intelligent traffic systems, high-definition maps, location and navigation services. Dense MLS point clouds provided by surveyors are not processed online, they are thus not directly applicable to autonomous driving, but those dense and precise data can be for instance used for the generation of HD reference maps. This paper presents a review of the different processing chains published in the literature. It underlines their contributions and highlights their potential limitations. Finally, a discussion and some suggestions of improvement are given.
USING MACHINE LEARNING ON DEPTH MAPS AND IMAGES FOR TUNNEL EQUIPMENT SURVEYING
Authors: Barcet F. , Tual M. , Foucher P. , Charbonnier P.
Published: December 2022

Abstract. In this contribution, we illustrate how to use high-resolution 3D data and images to model the global shape of a tunnel and to survey its equipment, in a semi-automatic way using pattern recognition and machine learning techniques. We first implement a robust B-spline fitting algorithm, based on a parametric family of M-estimators that allows an efficient deterministic optimization strategy, to accurately model the tunnel lining using range data, despite the presence of acquisition artifacts and significant perturbations related to the equipment and some surface defects. The residual maps from the robust fit can be exploited to segment the equipment in an unsupervised manner using clustering algorithms, but at the cost of post-processing which makes the method rather ineffective for routine use. However, we deploy it to annotate data for the supervised learning of a deep learning model, namely Mask R-CNN.We comment on the first results, obtained on a still limited number of examples, and from image data only, and discuss the possibilities of improving the method, in the immediate or longer term.
CHARACTERIZATION OF MORPHOLOGICAL SURFACE ACTIVITIES DERIVED FROM NEAR-CONTINUOUS TERRESTRIAL LIDAR TIME SERIES
Authors: Hulskemper D. , Anders K. , Antolínez J. A. Á. , Kuschnerus M. , Höfle B. , Lindenbergh R.
Published: December 2022

Abstract. The Earth’s landscapes are shaped by processes eroding, transporting and depositing material over various timespans and spatial scales. To understand these surface activities and mitigate potential hazards they inflict (e.g., the landward movement of a shoreline), knowledge is needed on the occurrences and impact of these activities. Near-continuous terrestrial laser scanning enables the acquisition of large datasets of surface morphology, represented as three-dimensional point cloud time series. Exploiting the full potential of this large amount of data, by extracting and characterizing different types of surface activities, is challenging. In this research we use a time series of 2,942 point clouds obtained over a sandy beach in The Netherlands. We investigate automated methods to extract individual surface activities present in this dataset and cluster them into groups to characterize different types of surface activities. We show that, first extracting 2,021 spatiotemporal segments of surface activity using an object detection algorithm, and second, clustering these segments with a Self-organizing Map (SOM) in combination with hierarchical clustering, allows for the unsupervised identification and characterization of different types of surface activities present on a sandy beach. The SOM enables us to find events displaying certain type of surface activity, while it also enables the identification of subtle differences between different events belonging to one specific surface activity. Hierarchical clustering then allows us to find and characterize broader groups of surface activity, even if the same type of activity occurs at different points in space or time.
CLEARANCE MEASUREMENT VALIDATION FOR HIGHWAY INFRASTRUCTURE WITH USE OF LIDAR POINT CLOUDS
Authors: Meinderts J. P. , Lindenbergh R. , van der Heide D. H. , Amiri-Simkooei A. , Truong-Hong L.
Published: December 2022

Abstract. This paper introduces a method to automatically estimate vertical and horizontal clearances of highway viaducts and gantries from Mobile Laser Scanner (MLS) point clouds. It is essential to have accurate data on the vertical and horizontal clearances of overhead infrastructure objects along the highway. Accurate clearance data is used for routing oversized transports, infrastructure reconstruction, maintenance and settling legal claims after incidents. The proposed method takes a point cloud of an infrastructure object as input, and as output provides the user with a concise overview of the horizontal and vertical clearances of the object. A point cloud of a highway overpass or gantry is segmented into the different clusters relevant for determining the clearances. The discrete points in these clusters will then be used to approximate their surfaces with B-splines. Subsequently the minimal clearances can be estimated. These clearances are estimated at certain pre-specified locations according to guidelines from the highway authority. The paper also includes a comparison of the inferred clearances from the point clouds with archived measurements performed by third party contractors. For this case study, a Dutch highway section containing 50 gantries and 20 viaducts is selected. Along this stretch of highway the clearances are estimated. The estimated clearances for each structure are then compared with archived in situ measurements. This will give a quantitative analysis of the quality of the estimated clearances. The estimated vertical clearances have an overestimation of 20–30 mm compared to the validation data. The horizontal clearances show a median underestimation of 20 mm.
Rigor and reproducibility instruction in academic medical libraries
Authors: LaPolla Fred Willie Zametkin , Bakker Caitlin J. , Exner Nina , Montnech Tisha , Surkis Alisa , Ye Hao
Published: December 2022

Background: Concerns over scientific reproducibility have grown in recent years, leading the National Institutes of Health (NIH) to require researchers to address these issues in research grant applications. Starting in 2020, training grants were required to provide a plan for educating trainees in rigor and reproducibility. Academic medical centers have responded with different solutions to fill this educational need. As experienced instructors with expertise in topics relating to reproducibility, librarians can play a prominent role in providing trainings, classes, and events to educate investigators and trainees, and bolstering reproducibility in their communities.
Case Presentations: This special report summarizes efforts at five institutions to provide education in reproducibility to biomedical and life sciences researchers. Our goal is to expand awareness of the range of approaches in providing reproducibility services in libraries.
Conclusions: Reproducibility education by medical librarians can take many forms. These specific programs in reproducibility education build upon libraries’ existing collaborations, with funder mandates providing a major impetus. Collaborator needs shaped the exact type of educational or other reproducibility support and combined with each library’s strengths to yield a diversity of offerings based on capacity and interest. As demand for and complexity of reproducibility education increases due to new institutional and funder mandates, reproducibility education will merit special attention.
Determining COVID-19’s impact on an academic medical library’s literature search service
Authors: Wombles Courtney , Grabeel Kelsey , Petersen David
Published: December 2022

Objective: At many institutions, literature search services are an important aspect of health science librarianship. This exploratory study analyzes how the COVID-19 pandemic impacted the use of an academic hospital medical library’s literature search service.
Methods: To evaluate the pandemic’s impact on literature searching at The University of Tennessee Medical Center’s Preston Medical Library, data were analyzed for changes from the year before the pandemic (March 1, 2019 to February 29, 2020) to the first year during the pandemic (March 1st, 2020 to February 28, 2021). This was accomplished using LibWizard, a library feedback and assessment application, to review literature search data during the two periods. Variables of interest included total searches, purpose of searches, affiliation of the searcher, and searches with a pandemic-related research question.
Results: A 36.6% drop in literature search service usage was reported from the pre-pandemic year to the during-pandemic year. There was a 55.3% decrease in searches intended for research, as well as significant decreases in the number of searches requested by all patron affiliations. After March 2020, 10% of all searches concerned a COVID-related topic.
Conclusion: The overall decrease in literature search requests, decrease in research searches, decrease in searches among all patron affiliations, and increase in searches on a COVID-related topic suggest that healthcare worker and institutional priorities changed during the pandemic. The results revealed research interests during the first year of the pandemic, as well as an overall change in library service functionality.
Interlibrary loan and document delivery in North American health sciences libraries during the early months of the COVID-19 pandemic
Authors: Lloyd Jennifer K. , Alpi Kristine M. , Hoogland Margaret A. , Stephenson Priscilla L. , Meyer Elizabeth
Published: December 2022

Objective: The study purpose was to understand how early months of the COVID-19 pandemic altered interlibrary loan (ILL) and document delivery (DD) in North American health science libraries (HSLs), specifically the decision-making and workflow adjustments associated with accessing their own collections and obtaining content not available via ILL.
Methods: Researchers distributed an online 26-question survey through 24 health science library email lists from January 6-February 7, 2021. Respondents reported their library’s ILL and DD activities from March-August 2020, including ILL/DD usage and policies, collection access, decision-making, and workflow adjustments. In addition to calculating frequencies, cross-tabulation and statistical tests were performed to test a priori potential associations. Two researchers independently and thematically analyzed responses to the 2 open-ended questions and reached consensus on themes.
Results: Hospital libraries represented 52% (n=226/431) of respondents, along with 42% academic (n=179) and 6% (n=26) multi-type or other special. Only 1% (n=5) closed completely with no remote services, but many, 45% (n=194), ceased ILL of print materials. More than half (n=246/423; 58%) agreed that ILL requests likely to be filled from print remained unfilled more than is typical. Open-ended questions yielded 5 themes on ILL/DD staffing, setup, and systems; 6 on impacts for libraries and library users.
Conclusion: Lack of communication regarding collection availability and staffing resulted in delayed or unfilled requests. Hospital and academic libraries made similar decisions about continuing services but reported different experiences in areas such as purchasing digital content. Hybrid ILL/DD workflows may continue for managing these services.
PENGGUNAAN JOB STICK DALAM BERTANYA UNTUK MENGUPAYAKAN KEAKTIFAN MENJAWAB PERTANYAAN PADA SISWA KELAS II SD
Authors: Bano Nofri Isabela , Tangkin Wiyun Philipus
Published: December 2022

Pembelajaran yang aktif, seharusnya melibatkan siswa dan guru secara keseluruhan. Namun fakta yang ditemukan adalah siswa pasif dan lebih banyak diam. Dalam hal ini ketika ditanya, sebagian besar siswa tidak menjawab pertanyaan guru. Keadaan ini berulang dan hanya beberapa siswa yang sama, yang selalu aktif menjawab pertanyaan guru. Oleh karena itu, penggunaan media yang tepat dapat membantu siswa lebih antusias dalam mengikuti pembelajaran, salah satunya adalah job stick. Dengan demikian, tujuan penulisannya adalah mendeskripsikan penggunaan job stick dalam bertanya, untuk mengupayakan keaktifan menjawab pertanyaan pada siswa kelas II SD, dengan metode kualitatif deskriptif. Adapun hasil penelitian ini adalah setalah diterapkan media job stick, kebanyakan siswa kelas II aktif dalam menjawab pertanyaan, antusias, dan bersemangat, memerhatikan setiap penjelasan guru, dan semua siswa punya kesempatan yang sama. Dalam penerapan media job stick, guru, dimampukan oleh Tuhan, untuk mengupayakan potensi yang Tuhan berikan bagi siswa. Dapat disimpulkan bahwa penggunaan job stick dalam bertanya mampu mengupayakan keaktifan menjawab pertanyaan pada siswa kelas II Sekolah Dasar.
PENGARUH MODEL INKUIRI TERBIMBING TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIS SISWA
Authors: Ningtias Sinta Wdiya , Soraya Rahayu
Published: December 2022

Model pembelajaran merupakan salah satu faktor yang dapat mempengaruhi kemampuan bepikir tingkat tinggi siswa salah satunya kemampuan komunikasi matematis. Penelitian ini bertujuan untuk mengetahui pengaruh model inkuiri terbimbing terhadap kemampuan komunikasi matematis siswa pada materi sistem persamaan linear dua variabel. Populasi penelitian adalah siswa kelas VIII SMP Negeri 3 Bandar Lampung. Penelitian ini merupakan penelitian kuantitatif dan deskriptif dengan jenis penelitian eksperimen. Subjek pada penelitian ini dipilih dengan teknik cluster random sampling. Pengumpulan data menggunakan teknik observasi, wawancara dan tes kemampuan komunikasi matematis. Teknik analisis data yang digunakan adalah statistik deskriptif dan inferensial.Untuk data tes kemampuan komunikasi matematis siswa terdiri dari 4 butir soal essay meliputi 3 indikator kemampuan komunikasi matematis yaitu, drawing (mengungkapkan ide kedalam bentuk gambar, grafik maupun diagram), written text (memberikan penjelasan secara matematis dengan bahasa yang benar), dan mathematical expression (membuat ekspresi matematika). Data dianalisis secara kuantitatif dan kualitatif untuk mendapatkan gambaran secara komprehensif terkait kemampuan komunikasi matematis siswa. Hasil penelitian menunjukan bahwa penggunaan model inkuiri terbimbing memebrikan pengaruh yang positif dalam menigkatkan kemampuan komunikasi matematis siswa. Hal ini dibuktikan dari rata-rata skor kemampuan komunikasi matematis siswa pada kelas eksperimen (25,59), sedangkan pada skor kelas kontrol (20,58). Sehingga dapat disimpulkan bahwa terdapat pengaruh yang positif dan signifikan pada model inkuiri terbimbing terhadap kemampuan komunikasi matematis siswa
A CASE STUDY UTILIZING PODCASTING FOR EDUCATIONAL PURPOSES IN ONLINE TEACHER EDUCATION
Authors: Kurniawan Ridho
Published: December 2022

This paper presents the results of a case study conducted at a university in Indonesia, which aimed to investigate the feasibility of using student-created podcasts for online interactive formative assessment in a pre-service teacher education course. The research was conducted as part of a larger, first-year initiative that aimed to record, refine, and spread efficient and original methods of using the internet for teaching and learning. Interviews with course instructors discussions in student focus groups (FGs), and overall course assessments all point to the podcasting assignment as a means by which the instructor, and students might gain new knowledge and insight from one another. Students gained the knowledge, competence, and assurance from the experience to do further independent research into technology for pedagogical reasons. This research helps us understand what future educators need to know to be successful in classrooms where digital tools like the internet and mobile devices play a central role in both teaching and learning.
EFEKTIVITAS BLENDED LEARNING BERBASIS PROYEK PADA KURIKULUM MERDEKA BELAJAR
Authors: Wulandari Septi , Sawita Nada , Rustam Rustam
Published: December 2022

Abstract

 

               The purpose of this research is to see the effectiveness of project-based blended learning. The research method used is qualitative. The approach used is a case study. The data in this study are the results of interviews with teachers. The source of this research data is the teacher. In testing the validity of the researchers using the validity of the data. The results showed that 50% of blended learning was effective when offline because it was able to improve critical thinking skills and profiles of Pancasila students. However, 50% is not effective when used online because of the unavailability of online equipment, after that it is difficult to supervise students which causes students to be dishonest. Further research is needed to strengthen this research by examining using statistical data on the effectiveness of learning using blended learning.

Keywords: blended learning, effectiveness, Pancasila student profile, critical thinking, project