bluuebunny/crossref_metadata_2025 huggingface dataset:
Exposición a la violencia familiar y violencia en el noviazgo en adolescentes de Ciudad de México: factores protectores y riesgo
Authors: Saldívar Hernández Gabriela J. , Moreno Reyes Areli , Trejo Arizmendi Jonathan Giovanni
Published: January 2023

La mayoría de los adolescentes que viven violencia en el noviazgo reportan ser testigos de violencia interparental o haber sufrido algún tipo de abuso infantil. En contraparte, se ha encontrado que las relaciones familiares pueden ser un factor protector. El objetivo de esta investigación cuantitativa es determinar si la violencia interparental y la exposición al abuso infantil predicen la violencia en el noviazgo y si los estilos de comunicación interparental no violentos protegen contra esta. El estudio fue transversal descriptivo y los datos se recolectaron mediante una encuesta con escalas específicas para medir las variables. La muestra fue no probabilística e incluyó a 870 estudiantes de ambos sexos (rango de edad 12-16 años, M=13, SD=.99); la información se recopiló a través de un cuestionario autoaplicable. Los análisis de regresión mostraron que quienes atestiguaron violencia interparental y/o sufrieron violencia infantil cuentan con un mayor riesgo de ser agresores o víctimas y quienes observaron estilos de comunicación sin violencia interparental tuvieron menos riesgo. Se concluyó que es necesario trabajar con cuidadores primarios de adolescentes en programas de prevención.
Two multi-wavelength interferometers for large-scale surveying
Authors: Sauthoff Anni , Köchert Paul , Prellinger Günther , Meyer Tobias , Pilarski Frank , Weinrich Stephanie , Schmaljohann Frank , Guillory Joffray , Truong Daniel , Silbermann Jakob , Kallio Ulla , Jokela Jorma , Pollinger Florian
Published: January 2023

Deformation monitoring requires the detection of smallest changes, always at the limits of technical feasibility. Trying to push these limits further, we have realised two terrestrial ranging instruments: a long-range 1D electro-optic distance meter and a 3D multilateration-capable sensor system of 50 m range. The former one is intended as primary standard for the calibration of geodetic instrumentation with low uncertainty to the SI definition of the metre. The latter one is intended for monitoring larger monuments like VLBI antennas. In this contribution, we describe the technical challenges and our solutions for such instrumentation. We use the two-colour method for inline refractive index compensation. As common optical source, we developed a versatile multi-wavelength generator based on two Nd:YAG lasers stabilised by a phase-locked loop realised by Field Programmable Gate Arrays (FPGA). The 1D interferometer uses custom-designed achromatic optics and a mechanical frame optimised for form stability under field conditions. The phase demodulation system allows for maximum range flexibility from several meters up to several kilometres. The base ranging unit of the 3D multilateration system adheres to a different demodulation technique, which allows a relatively simple interferometer head design. This approach requires a sophisticated source modulation scheme limiting the applicability to distances over 15 m up to approximately 50 m in our case.
Assessing vertical terrain displacement from TLS data by applying Msplit estimation – theoretical analysis
Authors: Wyszkowska Patrycja , Duchnowski Robert
Published: January 2023

Terrestrial laser scanning (TLS) is a measurement technique that has become popular in the last decades. Measurement results, usually as a point cloud, contain many points measured. When the TLS technique is used to determine terrain surface (e.g., by determining terrain profiles), one should realize that some points measured do not concern the terrain surface itself, but trees, shrubs, or generally the vegetation cover. Considering terrain surface determination, they should be regarded as outliers. Some other observations can also be outliers of different origins; for example, they might be disturbed by gross errors. We should consider such observation types when the data are processed. Two leading solutions in such a context are data cleaning and the application of robust estimation methods. Robust M-estimation is the most popular for the latter approach. As an alternative, one can also consider the application of Msplit estimation, in which the functional model is split into two competing ones. Hence, the paper aims to analyze how Msplit estimation can assess vertical terrain displacement based on terrain profile determination from TLS data. We consider processing data in separate sets (two measurement epochs) or one combined set, a natural approach in Msplit estimation. The analyses based on simulated TLS data proved that the first solution seems better. Furthermore, the application of Msplit estimation can also provide more satisfactory results than the classical methods used in such a context.
Validation of GNSS-based reference point monitoring of the VGOS VLBI telescope at Metsähovi
Authors: Kallio Ulla , Eskelinen Joona , Jokela Jorma , Koivula Hannu , Marila Simo , Näränen Jyri , Poutanen Markku , Raja-Halli Arttu , Rouhiainen Paavo , Suurmäki Heli
Published: January 2023

VLBI telescope reference point, the closest point in the telescope primary axis from the secondary axis, is typically determined indirectly by observation of points co-rotating with the telescope. We have previously measured telescope reference point indirectly with two GPS-antennas attached on the edge of the dish of the Aalto University Metsähovi radio telescope in 2008-2015. Now we have applied the same technique to the new VGOS-telescope of the FGI Metsähovi geodetic research station. The reference point of the VGOS antenna was estimated using post-processed trajectory coordinates of two GNSS antennas. The antennas are attached on the edge of the radio telescope dish with gimbals where a counterweight with shock absorber act as compensators to ensure zenith pointing at all telescope elevation angles. In addition, spherical prisms are attached to the structure of the telescope for tachymetric reference point determination. One purpose of this study is to evaluate the limit values and uncertainties of the compensator assembly by simulations and precise tachymeter measurements. To ensure that the compensation error is nearly constant or can be modelled, we have measured the residual tilt of the GNSS antennas with different VLBI antenna elevations. The results indicate a need to apply the corrections or to improve the compensator design. We aim to improve the counterweight and dampening so that no extra model corrections to trajectory coordinates are needed. For final assurance of our GNSS-based reference point monitoring performance, we have compared the reference point coordinates determined by simultaneous tachymetric and GNSS data. Our results and simulations showed that, with a small compensation error, the influence on reference point coordinates is marginal but the axis offset will be compromised, provided that the compensating angle bias is nearly constant.  Preliminary reference point estimates show a rather good agreement of simultaneous GNSS-based and tachymetric reference points. The final results will be achieved as part of the 18SIB01 EMPIR GeoMetre project, funded from the EMPIR programme and co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
Accuracy improvement of mobile laser scanning point clouds using graph-based trajectory optimization
Authors: Esser Felix , Moraga José Angel , Klingbeil Lasse , Kuhlmann Heiner
Published: January 2023

The detection of deformations on man-made structures such as bridges and dams are an essential task in engineering geodesy. The classical method uncovering deformations is based on geodetic networks using measurements from total stations or GNSS receivers. Another new approach is the determination of deformations based on terrestrial laser scans leading to large-scale deformation results by point cloud comparisons. In the field of geodetic engineering, mobile laser scanning systems are increasingly used for high-resolution point cloud generation in short measurement times, which leads to the idea to use these for deformation analysis. A crucial part of this measurement strategy is the estimation of the trajectory (position and orientation) of the scanner, which allows a consistent registration of the single scan lines in a global coordinate system (georeferencing). The largest limitation to the accuracy of the resulting point cloud is the accuracy of the estimated trajectory. In most applications, the estimation of position and orientation are based on the fusion of GNSS (Global Navigation Satellite System) and IMU (Inertial Measurement Unit) measurements. Systematic errors, as they often appear in GNSS measurements, are directly transferred to the georeferenced point cloud and therefor limit the potential for deformation analysis. With this paper we address the questions, if the trajectory estimation can be improved by the integration of known landmarks into the trajectory estimation procedure. Using a point cloud generated with an initial GNSS/IMU based trajectory, landmark targets can be observed in the point cloud and integrated into an updated estimate, using a factor graph-based approach. For the evaluation of a potential accuracy increase due to landmark observations, we performed measurements, comparing GNSS/IMU based results with the ones where landmarks are additionally integrated. The experiments show, that the accuracy increases especially in the heading angle, which is reflected in lower residuals to observed reference coordinates, but also in the trajectory covariances of the estimation results.
Extraction of key geometric parameters from segmented masonry arch bridge point clouds
Authors: Jing Yixiong , Sheil Brian , Acikgoz Sinan
Published: January 2023

Masonry arch bridges constitute the majority of the European bridge stock. Most of these bridges were constructed in the 19th century and feature a wide range of geometric characteristics. Since construction drawings rarely exist, the first step in the assessment of these bridges is the characterisation of their in-situ geometry, which may involve significant geometric distortions. In recent years, LIDAR devices have been widely used by bridge owners due to their ability to remotely and rapidly collect point cloud data. To enable the engineering assessment practice to benefit from this data, this research uses the recently developed deep learning (DL) neural network BridgeNet to autonomously segment masonry bridge point clouds into different components. Due to the limited availability of 3D point clouds, BridgeNet is trained using a synthetic multi-span masonry arch bridge dataset; the network is then tested on real arch bridge point clouds. By fitting appropriate primitive shapes to bridge component point clouds using Random Consensus Sampling (RANSAC) techniques the bridge geometry is effectively characterised by a few parameters.
InSAR displacement time series post-processing to back-analyze a slope failure
Authors: Roque Dora , Correia Martino , Cabral Ricardo , Davies Steffan , Cordeiro Tiago , Fonseca Ana , Barreto Paulo
Published: January 2023

In this study, the failure of a slope adjacent to a motorway was back-analyzed based on InSAR data. The location of the slided area and the exact date of the event were not known in advance. A post-processing strategy was applied on the displacement time series in order to aid the detection of instability signs and to enable the identification of the location and the narrowing down of the time interval of the slide. InSAR displacement time series were obtained following the small baseline subset approach implemented on an automatic processing platform. Distributed scatterers were clustered based on the similarity of their displacement time series, in order to form clusters of scatterers with similar behavior. This procedure allowed the computation of displacement time series representative of each cluster, aiding the detection of instability signs on the slope. One of the clusters showed a sudden movement away from the SAR sensor. It was later confirmed that the slide had occurred at the location of the scatterers belonging to that cluster and during the time interval between the two observation epochs corresponding to the break in the time series. In conclusion, the proposed method was effective in the back-analysis of the slope failure, hopefully contributing to the uptake of InSAR technology by structural safety experts.
Including virtual target points from laser scanning into the point-wise rigorous deformation analysis at geo-monitoring applications
Authors: Raffl Lukas , Holst Christoph
Published: January 2023

We present a method to include virtual target points from laser scanning into the point-based rigorous deformation analysis to derive precise 3D deformation vectors. This method overcomes the challenge of missing point identities in laser scans and is developed especially for geo-monitoring applications that demand an early identification of deformations at previously unknown positions. Our approach is based on virtual targets represented by local scan patches. Each patch is matched between overlapping stations and across different measurement epochs using the Iterative Closest Point Algorithm (ICP). Thus, similar to feature points, a number of homologous points is created and polar pseudo-observations are derived. This allows to integrate the observations into a free network adjustment and into a rigorous deformation analysis. We apply this method to the geo-monitoring of rock surfaces on Mt. Hochvogel where we use a scanning total station combining point-wise measurements to signalized targets and pseudo-observations derived from area-wise laser scans. In our application, numerous virtual target points could be created throughout the deformation object. The results show that the new method improves the accuracy and reliability of the subsequent rigorous deformation analysis and it, thus, allows for an early identification of deformations at geo-monitoring applications. Still there is some improvement in the selection of suitable patches needed, as the matching accuracy of the ICP strongly depends on the point distribution within the patches.
Registering the ground deformations at the area of the archaeological site “Solnitsata”
Authors: Nikolov Hristo , Atanasova Mila
Published: January 2023

In this paper we used synthetic aperture radar (SAR) data to investigate the surface displacements in the area of archaeological site Solnitsata dated VI-V millennium BC. The researched zone is situated in the neighborhood of the Provadia town, NE Bulgaria found and is considered to be one of the most ancient in Europe. Close to it the industrial Mirovo salt deposit is located. From decadal observations it was established that in the area of both sites there are ground motions due to local tectonic movements (several faults are closely located) and active exploitation of the orebody. To study the geodynamic processes in this zone for the period 2015 – 2020 the Differential Interferometry Synthetic Aperture Radar (DInSAR) method was used for their registration. The results presented are from processing SAR data from ESA’s Sentinel-1 mission and coincide with the results obtained by geodetic measurements. Definite advantage of the used technique is the possibility to deliver information for much larger areas than the one provided by geodetic measurements. Other plus of the method is the availability of results regardless of the weather conditions.
Comparison of TLS and sUAS point clouds for monitoring embankment dams
Authors: Bolkas Dimitrios , O’Banion Matthew , Prickett Jakeb , Ellsworth Gregory , Rusek Gerald , Corson Hannah
Published: January 2023

Monitoring of dams is an essential surveying task to guarantee the safety of operation and understand the physical processes concerning their movement. Point cloud generating technologies are increasingly being utilized for monitoring of engineered structures. This paper compares point clouds acquired from terrestrial laser scanning (TLS) and small unmanned aerial systems (sUAS)-based photogrammetry for monitoring of the Francis E. Walter dam in northeast Pennsylvania. Authorized for construction by the Flood Control Act of 1946, and with renewed interest due to extensive flooding in 1955 caused by the back-to-back hurricanes Connie and Diane, this earth-filled embankment dam was completed in June of 1961 by the U.S. Army Corps of Engineers. It is currently operated in conjunction with Beltzville Lake for stage reductions on the Lehigh River. The dam is being monitored through conventional surveying methods (total station) every five years. In spring of 2021 a TLS and sUAS data acquisition took place to assess the feasibility and utility of using modern point cloud technologies for monitoring. This paper presents a comprehensive comparison and accuracy assessment of the two point cloud collection methods, considering several parameters for the generation of the sUAS photogrammetric point cloud. Results show the advantages and disadvantages of the two methods. For instance, TLS offers high accuracy (cm-level), but suffers from data gaps due to line of sight blockage/occlusion. On the other hand, sUAS photogrammetry offers more complete point clouds, but presents more challenges in georeferencing and in the generation of accurate point clouds. Similar insights and lessons learned are useful for future surveying tasks and monitoring of similar embankment dam structures.
High-rate real-time PPP for dynamic motion detection in vertical direction
Authors: Karadeniz Barış , Bezcioglu Mert , Yigit Cemal Ozer , Dindar Ahmet Anil , Akpinar Burak
Published: January 2023

Nowadays, with the developments in GNSS (Global Navigation Satellite System) technology, the data storage and data processing capacity of GPS (Global Positioning System) receivers has been gradually increased. This situation is widely used in the detection and monitoring of horizontal and vertical vibrations that occur in the structure when high temporal resolution geodetic GPS receivers are under the influence of dynamic loads such as earth crust motions, wind load, traffic load, which affect man-made engineering structures. In the study, RT DF-PPP (Real Time Dual Frequency-Precise Point Positioning) method was applied together with a GPS sensor with a sampling interval of 20 Hz, using a steel bar mounted on a steel tree model designed as a structure model, and a steel bar on which different sensors can be integrated and can provide simulation of vertical motions in detecting vertical motions occurring in structures. To evaluate the performance of the method used and to test the performance of capturing vertical displacements, the DF-RP (Dual Frequency-Relative Positioning) method was taken as reference and the results were compared with the PP-PPP (Post Process-PPP) method using the IGS-Final (International GNSS Service-Final) product. When the results are compared with the RP and PP-PPP solutions in the frequency domain of vertical motions as a result of harmonic oscillations of the high-rate RT-PPP method, it has been seen that the amplitudes and frequencies are compatible with each other. Therefore, dynamic motions that occur as a result of natural events such as earthquakes, tsunamis, landslides and volcanic eruptions can be instantly and reliably monitored and detected by the high-rate RT-PPP method. When the results were evaluated in the time domain, an improvement was observed in the RMSE (Root Mean Square Error) and maximum values of RT-PPP and PP-PPP methods according to RP after filtering. When the statistical results are examined, vertical harmonic motions of the solutions made by using both RT-PPP and PP-PPP methods can be detected with accuracy below centimeters. These results clearly show that it can detect vertical dynamic motions in engineering structures such as bridges, skyscrapers and viaducts with RT-PPP method to evaluate. Thus, by detecting the effects of dynamic motions occurring in the structure on the health of the structure, a safe environment will be provided by making a rapid hazard assessment for life safety.
Assessment of accuracy and performance of terrestrial laser scanner in monitoring of retaining walls
Authors: Psimoulis Panos , Algadhi Ali , Grizi Athina , Neves Luis
Published: January 2023

Retaining walls are a critical infrastructure of transportation networks and the monitoring of their condition is crucial for the efficient and reliable maintenance of the network. The condition of retaining walls is frequently assessed using qualitative criteria and visual inspection, which are susceptible to human-bias and errors. To improve the management of these structures, reducing the probability of failure and the maintenance costs, it is critical to develop more efficient, reliable and quantitative monitoring approaches for these structures. The current study aims to evaluate the performance of Terrestrial Laser Scanner (TLS) in deformation monitoring of retaining walls, based on the analysis of single scans (without registering the point clouds to build 3D models). The evaluation was based on a controlled experiment, where a wooden frame (1.5m x 1m) was used to simulate deformation scenarios for retaining walls, with an amplitude between 2 to 16 mm. A Leica RTC360 scanner was used to scan the wooden frame from distances varying between 10 to 27 m and angles varying between 0° to 20°. Five methods were applied to analyse the laser-scanner data and estimate the displacement: a target-based approach and four cloud-based approaches including the Cloud-to-Cloud (C2C), the Cloud-to-Mesh (C2M), the Multiscale-Model-to-Model-Cloud-Comparison (M3C2), and an alternative cloud-based method where the mean average of the point-cloud was used to estimate the displacement in the axis of the deformation. A Robotic Total Station Leica TS30 was also used to measure the deformation of the wooden frame and provide the ground truth values of the introduced deformation for each scenario. The results showed that the RTC360 had an accuracy of 1.3 mm with a confidence level of 95%.
Long and close-range terrestrial photogrammetry for rocky landscape deformation monitoring
Authors: Lerma José Luis , Cabrelles Miriam , García-Asenjo Luis , Garrigues Pascual , Martínez Laura
Published: January 2023

The paper describes the processing and validation of a series of terrestrial photogrammetric surveys carried out from 2017 to 2020 for monitoring the stability of a cliff in Cortes de Pallás (Spain). The complexity of the target area, which has a strong orography, a water reservoir, and many obstacles such as electrical power lines or vegetation, makes difficult the use of any measurement technique. After considering solutions such as long-range laser scanning or close-range mobile mapping, which were unsatisfactorily tested and therefore rejected for future campaigns, the use of combined short and long terrestrial photogrammetry proved an efficient method for quick and massive monitoring of the entire cliff with an overall accuracy of several centimetres. All the steps undertaken for the centimetre level accuracy deliverables, which include camera calibration, bundle-adjustment, dense point cloud generation, 3D modelling, and validation of the 3D models by using external geodetic information, will be presented. For the sake of conciseness, only results for the last two campaigns (5th and 6th), as well as the comparison between the last (6th) and the first (1st) campaigns, will be discussed. In addition, photogrammetric results will be validated by analyzing the metrics on four target-based micro-geodetic check points, located on key critical areas of the cliff selected by civil and geotechnical engineers from the Department of Roads and Infrastructures.
Occupational Therapy’s Role in Chronic Conditions
Authors: Lambdin-Pattavina Carol , Pyatak Elizabeth
Published: January 2023

It is the position of the American Occupational Therapy Association (AOTA) that occupational therapy practitioners are distinctly qualified to address the impact of chronic conditions on occupational performance and participation across the life span. The purpose of this position statement is twofold. First, it defines chronic conditions and describes the multiple factors associated with the development of one or more chronic conditions. Second, it provides an overview of how the field of occupational therapy has a distinct impact on improving the health and wellness of persons, groups, and populations with or at risk for chronic conditions through health promotion, disease prevention, and intervention.
Evidence for Implementing Tiered Approaches in School-Based Occupational Therapy in Elementary Schools: A Scoping Review
Authors: Lynch Helen , Moore Alice , O’Connor Deirdre , Boyle Bryan
Published: January 2023

Importance: Internationally, it is suggested that school-based occupational therapy (SBOT) has an important role in supporting inclusion in educational settings. In SBOT, multitiered service delivery models are identified as a way forward to maximize school inclusion. Therefore, identifying evidence for the implementation of tiered interventions in SBOT is vital.

Objective: To identify and map evidence in the occupational therapy literature relating to SBOT interventions delivered in elementary schools for all children, for those at risk, and for those with identified diagnoses.

Data Sources: Peer-reviewed literature published in 14 occupational therapy journals between 1990 and 2020, indexed in the EBSCOhost database.

Study Selection and Data Collection: Included studies were those within the scope of SBOT that reported on school occupations and focused on elementary school–age children (excluding kindergarteners or preschoolers).

Findings: Forty studies met the criteria. Individual-tier intervention studies (n = 22) primarily reported direct interventions with children at risk or with identified diagnoses (Tier 2 or Tier 3), focusing mostly on remedial approaches. None adopted a whole-school approach. Despite handwriting and self-regulation being dominant areas of concern, these studies were not explicitly related to inclusion outcomes. Evidence for implementing multitiered models primarily used indirect, collaborative consultation, embedded in the school context (n = 18). These studies identified positive school staff and child outcomes when collaboration was timely, consistent, and authentic.

Conclusions and Relevance: More rigorous individual-tier intervention studies are required to inform the design and implementation of multitiered interventions in SBOT and to support participation and inclusion in schools.

What This Article Adds: This scoping review provides evidence to support occupational therapists’ professional reasoning in developing evidence-based, contextual, educationally relevant multitiered models of intervention in SBOT.
Discounter hängen Supermärkte ab
Authors: Konrad Jörg
Published: January 2023

2022 war für die Supermarktbranche ein enttäuschendes Jahr. Nach pandemiebedingten Rekordjahren wurden die Vollsortimenter von der Discountkonkurrenz deklassiert. Für Markenhersteller brach eine Zeitenwende an. Besserung ist vorläufig nicht in Sicht.
Analysis of Numeracy Ability of Class VII Students SMP Negeri 1 Siantar
Authors: Simarmata Gayus
Published: January 2023

Arithmetic is a field of mathematics closely related to human existence. It will be helpful for anyone to perform any task that requires calculation if they have a basic understanding of mathematics. However, sometimes it is optional to carry out precise calculations. Counting is the backbone or breath of learning mathematics. Students' ability to count becomes vital in teaching mathematics to students. The research aimed to measure Class VII students' numeracy skills at SMP Negeri 1 Siantar, Simalungun Regency. The method used is a descriptive-quantitative approach. The population is nine classes with 254 students, and the sample is taken in layers and randomly as many as four classes with 112 students. The nine classes consist of 2 groups, namely the Superior Class (KU) of 2 classes, namely class VII1 and class VII2, and the Ordinary Class (KB) of 7 classes, namely class VII3, VII4, VII5, to class VII9. The research concluded that the Superior Class could count, while the Ordinary Class was 5.95% unable to count. The findings of this study imply that apart from providing students with a better learning environment and infrastructure, it is essential to improve their arithmetic skills.
Twitter Kullanıcılarının Temettü Yatırımlarında Tercih Ettikleri Şirketlerin Metin Madenciliği ile Tespit Edilmesi
Authors: TUNA Murat Fatih , POLATGİL Mesut
Published: January 2023

Artan teknoloji kullanımıyla birlikte insanlar hemen her konuda görüşlerini rahatlıkla paylaşabilecekleri araç ve ortamlara sahip olmuştur. Bu fikirlerin önemli bir kısmını da yatırım ile ilgili konular oluşturmaktadır. Twitter bu konuda öne çıkmakta ve yapılan birçok çalışma için önemli bir veri kaynağı oluşturmaktadır. Birçok çalışmada Twitter üzerinden alınan fikirler analiz edilmekte ve birçok ürüne ilişkin fiyat tahmini yapılmaktadır. Öte yandan son yıllarda temettü emekliliği ve temettü yatırımcılığı özellikle küçük yatırımcı sınıfındaki bireyler için çok cezbedici bir hale gelmiş, buna bağlı olarak bireyler özellikle çocukları ve ailesi için bu yatırım kanalına yönelim göstermiştir. Bireyler ayrıca yaptıkları bu yatırımlarla ilgili Twitter platformunda paylaşımlar yapmakta ve birbirleriyle fikir alışverişinde bulunmaktadır. Bu noktada bahsedilen yatırım türünü tercih edecek kişiler hangi firmalara yatırım yapacakları konusunda bazen emin olamamaktadır. Bu çalışmanın amacı, Twitter kullanıcılarının en çok beğendiği ve yorumladığı temettü firmalarının tespit edilmesi ve alternatif yatırım portföylerinin oluşturulmasıdır. Dolayısıyla çalışmada en çok bahsedilen, en çok beğenilen, en çok yorumlanan ve en çok yönlendirilen (retweet edilen) tweet özelliklerine odaklanılmıştır. Dahası verilerden tespit edilen firmalar ile toplam beş portföy oluşturulmuştur. Bu portföylerin getiri durumları firmaların son bir yıllık getirileri baz alınarak modern portföy teorisi bağlamında verilmiştir. Portföylerden en iyi getiriyi retweet edilme durumuna göre oluşturulan portföyün oluşturduğu tespit edilmiştir. Çalışma kapsamında ortaya konan portföylerin ve içerdiği yatırım alternatiflerinin temettü yatırımcılığıyla ilgilenen tüketicilere fayda sağlayacağı düşünülmektedir.
Şiddeti Adlandırma ve Anlama: Türkiye’de Şiddete Maruz Kalan Kadınların Deneyimleri ve Baş Etme Stratejileri
Authors: DOĞAN Kübra , KARAMAN Nuray
Published: January 2023

Bu çalışmanın amacı kadına yönelik şiddeti toplumsal cinsiyet perspektifinden ele alarak, Türkiye'deki kadınların şiddet kavramına ilişkin algısını anlamak ve kadınların şiddet tanımlanmalarına ilişkin kavramsallaştırmalarını incelemektir. Kadına yönelik yapılan her türlü şiddetin önlenmesinin temelinde şiddetin nasıl tanımlandığı ve içselleştirildiği önemli bir rol oynamaktadır. Bu nedenle kadınların şiddet kavramına atfettikleri anlamlar çerçevesinde 30 kadın katılımcı ile derinlemesine görüşme yapılmıştır. Ayrıca katılımcıların şiddet deneyimleri ve maruz kaldıkları şiddetle baş etme stratejileri incelenmiştir. Toplumsal cinsiyet rollerinin mevcut toplumsal değişimler içerisinde kendini yeniden yarattığı ve ürettiği bir toplumsal sistem içerisinde kadına yönelik şiddetin nasıl tanımlandığı ve şiddet pratikleri de değişim göstermektedir. Çalışmada, katılımcıların tümünün farklı şiddet türlerine maruz kaldığı ve bunun sonucu olarak belirli travmatik olaylar ile karşı karşıya geldiği ortaya çıkarılmıştır. Ayrıca kadınların şiddeti tanımlamaları, şiddet deneyimleri ve bununla baş etme stratejileri katılımcıların eğitim, sosyal ve ekonomik durumlarındaki farklılıklara bağlı olarak çeşitlilik göstermiştir. Bu bağlamda şiddeti adlandırma, şiddet kavramının doğasına ilişkin tartışmaları yeniden çerçevelendirmeye ve toplumsalın içerisindeki tezahürünü anlamaya yardımcı olmaktadır. Dolayısıyla çalışma süresince; kültürel kodlarla, bir sonraki nesile aktarılan yaşam biçimi ve tutumların toplumdaki şiddet tezahürü, detaylıca açıklanmaya çalışılmıştır. Bu çalışmada, kadınların şiddete yönelik tanımlamaları ve algıları irdelenirken, toplumun kadınlara atfettiği roller üzerinde durulmuştur.
Firmaların Pay Senedi Geri Satın Alımlarının Belirleyicileri: Uluslararası Bir İnceleme
Authors: YILMAZ Muhammed , OKTAY Sadiye
Published: January 2023

Son yıllarda pay senedi geri satın alım yöntemi ile yapılan kâr payı dağıtımının uygulamada ciddi şekilde arttığı görülmektedir. Bu çalışmanın amacı firmaların pay senedi geri satın alımının belirleyicilerini araştırmaktır. Bu doğrultuda çalışmanın örneklemi 2009-2019 yılları arasında dünya genelinde 62 ülkede faaliyet gösteren 22,445 firma verisinden ve toplam 161,592 gözlem sayısından meydana gelmektedir. Oluşturulan model, lojistik regresyon ve en küçük kareler test yöntemiyle analiz edilmiştir. Çalışmada kullanılan bağımsız değişkenler kârlılık, kaldıraç, maddi duran varlıklar, büyüklük, büyüme fırsatları, araştırma geliştirme harcama oranı ile gayri safi yurt içi hâsıla, doğrudan yabancı yatırım, yurt içi tasarruf oranı olmak üzere firma ve ülke düzeyindeki değişkenlerden oluşmaktadır. Ayrıca ülkeler benimsedikleri hukuk sistemi açısından Anglosakson ve Kıta Avrupası Hukuk sistemi olarak sınıflandırılmıştır. Elde edilen sonuçlar itibariyle doğrudan yabancı yatırım oranı her iki yönteme göre pay geri alımları üzerine etkisi istatistiki olarak anlamlı çıkmamıştır. Bunun yanında hem firma düzeyinde hem de ülke düzeyindeki diğer değişkenlerin firmaların pay senedi geri satın alım yöntemiyle yaptıkları kâr payı dağıtımına önemli ve istatistiksel olarak anlamlı etkilerin olduğu tespit edilmiştir. Ayrıca pay senedi geri satın alımlarının belirleyicilerinin incelenmesinde, lojistik regresyon yöntemi ile elde edilen bulguların teorik beklentilerle ve literatürde yer alan önceki bulgularla daha uyumlu sonuçlar ortaya koymasından dolayı, bu yöntemin daha tutarlı bir yöntem olduğu sonucuna ulaşılmıştır. Pay senedi geri satın alım kararları kapsamında geliştirilen model çalışmanın güçlü ve özgün yanını göstermektedir. Dolayısıyla bu çalışmanın sonuçlarının literatüre, uygulamacılara, yatırımcılara katkı sağlayan ve yeni bir perspektif kazandıran bir kılavuz olduğu düşünülmektedir.
Muhasebe Mesleğinde Yeşil Yaklaşımlar: Çevre Dostu Uygulamaların Kullanılması
Authors: GÖL Mehmet
Published: January 2023

Günümüzde yaşadığımız dünyada bilişsel teknolojilerin sürekli enerji tüketimin artırmasından dolayı ekolojik sorunlara ve ekonomik gereksinimlere olan duyarlılık yeşil bilişimin popülerliğini artırmıştır. Çalışmanın amacı bulut bilişim uygulamalarını muhasebe mesleğinde kullanmanın bulut bilişim uygulamalarını kullananlara sadece teknolojik, finansal ve sosyal açıdan değil, çevresel açıdan da son derece önemli faydalar sağlamaktır. Bulut muhasebe uygulamaları kullanımı, enerjiden tasarruf edilmesinin yanında verimliliği artırma, karbon ayak izlerini, kâğıt ve toner tüketimini azaltarak çevreye son derece önemli katkıda bulunur. Muhasebe mesleğinde bulut muhasebe uygulamalarının tercih edilme sebepleri, uygulamaların güvenlik, erişebilirlik, ölçülebilirlik, entegrasyon, kullanım kolaylığı, maliyet azaltma gibi birçok özelliğinden kaynaklanmaktadır. İşletmeler ve meslek mensupları klasik muhasebe yöntemlerini terk ederek bulut muhasebe uygulamalarını tercih etmektedir. Çalışmamın ilk bölümü giriş, ikinci bölümü bulut muhasebenin tanımlarından, avantajlarından, dezavantajlarından, kimler tarafından tercih edilip ve edilmediğinden, üçüncü bölümü yeşil muhasebenin tanımından, amaçlarından, avantajlarından, zorluklarından, muhasebecinin temel rollerinden, dördüncü bölümü bulut muhasebe uygulamaların çevre dostu olmasından ve beşinci bölümü sonuç bölümünden oluşmaktadır.
Türkiye’de Neoliberal Yönetişimin Aracı Olarak Kurumsal Sosyal Sorumluluk
Authors: OZAN Ebru Deniz
Published: January 2023

Bu makalede Kurumsal Sosyal Sorumluluk (KSS), neoliberal yönetişimin bir aracı olarak ele alınmaktadır ve Türkiye’deki KSS pratiği bu çerçeveden incelenmektedir. Makale, dört eksen temelinde KSS’nin neoliberal yönetişimin bir aracı olarak değerlendirilebileceğini ileri sürmektedir: Birincisi, KSS neoliberal politikaların ‘minimal devlet’ savının tamamlayıcısı olarak ele alınabilir. İkincisi, KSS faaliyetlerinin uluslararası kuruluşların yardımıyla yerel ekonomileri küresel, neoliberal ekonomiye entegre etmede önemli bir işlevi vardır. Üçüncüsü, KSS faaliyetleri neoliberalizmin finansal, ekolojik ve meşruiyet krizine bir çözüm olarak sunulmaktadır. Dördüncüsü, KSS’nin hayırseverlik boyutu, neoliberal ekonominin olumsuz etkileriyle başa çıkma stratejisi olarak görülebilir.
Quem tem medo do método? Reflexões sobre metodologia de pesquisa
Authors: Neves Aline do Rocio , Almeida Patrícia Sene de
Published: January 2023

Este trabalho traz uma reflexão acerca das motivações que levam a etapa metodológica de pesquisas acadêmicas se tornar um “entrave” na elaboração de artigos, relatórios, projetos, trabalhos de conclusão de curso, dissertações, teses e outros documentos científicos. Seu objetivo está em propor estratégias para a elaboração de pesquisas científicas em sua etapa metodológica, destacando elementos fundamentais para a estruturação.
O Impacto da Pandemia da Covid19 no Ensino Fundamental I em Curitiba
Authors: Dias Marli Pereira de Barros , Zaluca Cheila Cristina
Published: January 2023

A pandemia da Covid 19, que atingiu o Brasil no ano de 2020 exigiu a tomada de decisões rápidas e impactou o ensino-aprendizagem. Ante a urgência do momento e o necessário isolamento social, o ano letivo teve continuidade por meio do ensino remoto, que nem sempre surtiu efeitos positivos na aprendizagem, sobretudo para àqueles(as) em situação de vulnerabilidade. Nesse contexto, esse artigo visa verificar como o ensino remoto impactou na aprendizagem de estudantes de escolas públicas do Ensino Fundamental I na Rede Municipal de Ensino de Curitiba. A problemática é a seguinte: quais os impactos do ensino remoto na aprendizagem dos(as) estudantes das escolas da RMEC e as lacunas deixadas pelo tempo da Covid 19 que poderão repercutir na vida futura de meninas e meninos, principalmente daqueles (as) em situação de vulnerabilidade? Visando responder a nossa problemática, recorremos a pesquisa bibliográfica sobre o assunto e a entrevistas semiestruturadas com professores(as) da RMEC. A partir de análises foi possível verificar o impacto do ensino remoto para os estudantes das escolas municipais de Curitiba, principalmente aqueles (as) em situação de vulnerabilidade, que praticamente não tiveram avanço, comprometendo a alfabetização, assim como e a socialização dos (as) mesmos (as).
Grupo de estudos e pesquisas PAIDEIA/FE-UNICAMP: uma trajetória de luta e resistência
Authors: Costa Valdirene Pereira
Published: January 2023

Apresenta alguns resultados da tese de doutoramento intitulada “Análise epistemológica da produção da pesquisa em filosofia e educação (1999-2019) do grupo PAIDEIA/UNICAMP”. Analisa a importância desse grupo de pesquisas para a produção científica do Programa de Pós-graduação em Educação da Faculdade de Educação da UNICAMP, bem como para o debate educacional brasileiro. Como metodologia, utilizou-se uma pesquisa bibliográfica fundamentada nos autores Jaeger (2013), Nunes (2019), Sánchez Gamboa (1987, 2009, 2011, 2012) e Saviani (2005).
Correlation of Relatedness and Complexity with Patent Applications: A Regional Analysis from Türkiye
Authors: AKGÜNGÖR Sedef , ABAY Mert
Published: January 2023

Purpose: The aim of this paper is to test the hypothesis that regional innovativeness is positively correlated with the two main building variables of smart specialization: relatedness density (a region’s potential to develop new technologies compatible with existing capabilities) and knowledge complexity (a region’s potential to develop unique and hard-to-imitate technologies).Methodology: Analysis are made over a panel regression model, using data from OECD-REGPAT database for the years 1978–2017 covering Türkiye’s NUTS-3 regions. The dependent variable is innovativeness, and the independent variables are the average relatedness density and knowledge complexity indices for each region. Per capita income, number of universities, number of technoparks, Turkish Patent Institute, Türkiye-EU Customs Union agreement, and lagged value of the dependent variable are the control variables.Findings: The results confirm that innovativeness and a region’s potential to develop new technologies that are compatible with existing technological portfolios (relatedness density) are correlated, while the variable that measures a region’s potential to develop unique technologies (knowledge complexity) is not statistically significant.Originality: The originality of this work is that we demonstrate relatedness to be one of the building blocks of smart specialization as correlated with regional innovativeness; complexity, the other building block, is not correlated.
Veri Zarflama Analizi ile Etkinlik Ölçümü ve Parçalı Elastiklik Analizi: OECD Ülkelerinin Tarımsal Performansları Üzerine Bir Uygulama
Authors: DİRİK Ceren , SAHİN Serap , ATICI Kazım Barış
Published: January 2023

Amaç: Bu çalışmanın amacı, OECD ülkelerinin 2019 yılı tarımsal etkinliğini ölçmek ve kurgulanan senaryolar üzerinden parçalı elastiklik analizleri gerçekleştirerek ülkelerin kısmi ölçeğe göre getiri karakterizasyonlarını ortaya koymaktır.Yöntem: Etkinlik ve elastiklik ölçümleri için Veri Zarflama Analizi (VZA) ve VZA tabanlı yöntemler kullanılmıştır.Bulgular: OECD ülkelerinin %43’ünün etkin bir şekilde faaliyet gösterdiği tespit edilmiş ve ortalama tarımsal etkinliğin 0,87 olduğu saptanmıştır. Elastiklik analizi bulgularına göre seçmeli radyal etkinlik varsayımını sağlayan OECD ülkelerinin büyük bir bölümü için kısa vadede tarımsal büyümenin gerçekleşmesinin beklenmediği, üretim faktörlerinde yaşanabilecek marjinal artışlar karşısında tarımsal çıktıların çoğunlukla azalan veya sabit oranda artış eğiliminde olduğu belirlenmiştir.Özgünlük: Çalışma, ülke bazında parçalı elastiklik ölçüm modellerinin ilk uygulaması olması ve OECD ülkelerinin tarımsal performanslarına dair bütünleyici bir perspektif sunması açısından önemlidir.
Yoğun Bakım Ünitelerinin Etkinliklerinin Değerlendirilmesi: Bir Üniversite Hastanesi Örneği
Authors: DEDECAN Mustafa , TORUN Nazan
Published: January 2023

Amaç: Bu çalışmada yoğun bakımların etkinliklerini değerlendirmek, etkin olmayan yoğun bakım ünitelerinin etkin olabilmesi için referans alabileceği yoğun bakım ünitelerini belirlemek ve yoğun bakım üniteleri arasında etkinlik düzeyleri bakımından farklılıkları tespit etmek amaçlanmıştır.Yöntem: Çalışmada, Gazi Üniversitesi Sağlık Araştırma ve Uygulama Merkezinde bulunan 12 yoğun bakım ünitelerin 2018 yılına ait yıllık istatistiki verileri kullanılmıştır. Yoğun bakım ünitelerinin etkinlikleri Veri Zarflama Analizi (VZA) yöntemi ile değerlendirilmiştir. VZA analizinde girdi yönelimli BCC (Banker, Charnes ve Cooper) Modeli, CCR (Charnes, Cooper ve Rhodes) Modeli ve Süper Etkinlik modelinden yararlanılmıştır.Bulgular: CCR ve BCC VZA modeli sonuçlarının her ikisinde; anestezi ve reanimasyon, çocuk, iç hastalıkları ve yenidoğan yoğun bakım ünitesi etkin bulunmamıştır. Etkin olan yoğun bakım üniteleri arasında CCR modeli sonucuna göre süper etkin olan göğüs cerrahisi yoğun bakım ünitesi iken, BCC modeline göre ise kalp ve damar cerrahisi yoğun bakım ünitesidir. Ayrıca çalışma sonucunda yoğun bakım ünitelerinin etkinlik düzeyleri arasında farklılıkların olduğu tespit edilmiştir.Özgünlük: Hem son dönemde yaşanan COVİD-19 pandemisi hem de sağlık harcamaları içerisinde önemli bir paya sahip olan yoğun bakım ünitelerin etkinliklerinin değerlendirilerek kaynakların etkin kullanılması önemlidir.
Adolescents and Verb Spelling: The Impact of Gender and Educational Track on Rule Knowledge and Linguistic Attitudes
Authors: Surkyn Hanne , Sandra Dominiek , Vandekerckhove Reinhild
Published: January 2023

The present paper examines the correlation between adolescents’ gender and educational profile on the one hand and their knowledge of the Dutch verb spelling rules and spelling attitudes on the other hand. A two-part survey was conducted among 451 Flemish students from different educational tracks. We conducted this survey in order to complement our previous research in which we observed social patterns in adolescents’ verb spelling errors on social media (Surkyn et al., 2019, 2020, 2021). Our results reveal that girls and theoretically oriented students care most about correct verb spelling. Moreover, theoretically oriented students have a better knowledge of the verb spelling rules. This survey provides additional evidence for the interpretation of the social patterns in our corpus research on Dutch verb spelling errors.
Metakaolin-based geopolymers for stone conservation: preliminary results on alkaline activation
Authors: van Roosmale Sophie , De Kock Tim , Blom Johan
Published: January 2023

Abstract. Geopolymers are inorganic and versatile alternative binder. They
exist in a wide range, varying from a material which behaves like mortars to
a material with properties like ceramics. This makes them a potentially
innovative alternative to repair mortars. In this research the activation of
metakaolin-based geopolymers is explored in the context of stone
conservation. A set of reactivity tests are performed to evaluate activators
and compatibility with a lime-based binder. The physico-chemical properties
of the binder are investigated, in combination with low proportions of
standardized aggregates of marl powder, limestone powder and quartz sand.
The most promising mixtures absorb water relatively slowly due to the
relative small pore sizes. The samples have a high open porosity and
therefore a lower density when compared to results found in literature from
geopolymers with aggregate, but the results are comparable to geopolymers
without aggregates. The compressive strength is comparable to currently used
repair mortars. This study shows that metakaolin with lime-based binders
could be investigated in the future as alternative binder in stone repair
mortars.
Applying machine learning to improve the near-real-time products of the Aura Microwave Limb Sounder
Authors: Werner Frank , Livesey Nathaniel J. , Millán Luis F. , Read William G. , Schwartz Michael J. , Wagner Paul A. , Daffer William H. , Lambert Alyn , Tolstoff Sasha N. , Santee Michelle L.
Published: January 2023

Abstract. A new algorithm to derive near-real-time (NRT) data products for the Aura Microwave Limb Sounder (MLS) is presented. The old approach was based on a simplified optimal estimation retrieval algorithm (OE-NRT) to reduce computational demands and latency. This manuscript describes the setup, training, and evaluation of a redesigned approach based on artificial neural networks (ANN-NRT), which is trained on > 17 years of MLS radiance observations and composition profile retrievals. Comparisons of joint histograms and performance metrics derived between the two NRT results and the operational MLS products demonstrate a noticeable statistical improvement from ANN-NRT. This new approach results in higher correlation coefficients, as well as lower root-mean-square deviations and biases at almost all retrieval levels compared to OE-NRT. The exceptions are pressure levels with concentrations close to 0 ppbv, where the ANN models tend to underfit and predict zero. Depending on the application, this behavior might be advantageous. While the developed models can take advantage of the extended MLS data record, this study demonstrates that training ANN-NRT on just a single year of MLS observations is sufficient to improve upon OE-NRT. This confirms the potential of applying machine learning to the NRT efforts of other current and future mission concepts.