bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Effect of Bentonite on the Resistance to Corrosion of Plastic Concrete
Authors:   School of Material Science and Engineering, Shenyang Jianzhu University, Xiangqun DING , Yuxi YANG , Ji ZHANG ,   School of Material Science and Engineering, Shenyang Jianzhu University
Published: August 2023

Objective: To study the effect of bentonite on the corrosion resistance of concrete. Methods: Using the direct immersion method, the chloride ion solution and sulphate ion solution were prepared to simulate the corrosive water environment, and the test blocks were placed in the corrosive solution for corrosion. The cube compressive strength of plastic concrete with different bentonite admixtures was tested under standard curing conditions, after immersion in chloride ion solution and after immersion insulfate ion solution immersion curing. The relationship between the amount of bentonite admixture and the strength of the test block after dissolution in ambient water was analyzed in comparison with the reference group. The microstructure of the internally doped bentonite was studied using SEM (scanning electron microscopy) , and its corrosion mechanism was discussed. Results: As the proportion of bentonite in the cementitious material increases, the cube compressive strength of plastic concrete gradually decreases. In the range of 0~30%, the corrosion degree of chloride ion solution on the concrete strength first decreases and then increases. When the content of bentonite is 20%, the corrosion effect is the smallest; the effect of corrosion of sulfate ion solution on concrete strength continues to decrease, and is minimized at 30%. Conclusion: A certain amount of bentonite can effectively reduce the strength loss of plastic concrete after corrosion.
Dr. Mabuse and His Doubles
Authors: Lyons Owen
Published: August 2023

Chapter 2 introduces Fritz Lang’s Dr. Mabuse der Spieler (1922) as the quintessential film that embodies all of the key crises of finance capital and modernity. It examines how the film connects crises of authority, identity, authenticity, and rationality back to the realm of finance capital. Dr. Mabuse both threatens fixed notions of territory, colonies, border, and nation while also embodying a fantasy of empowerment and mobility for the emergent class of Angestellten (‘white-collar workers’) as a film-going public. The film is situated in the context of the figures of the Raffke and Schieber, two established stereotypes of the profiteers and nouveau riche of the time, and as part of a micro-genre of Börsenfilme (‘stock-exchange films’) of the time of the hyperinflation.
Mirrors: Phono-fetishism and intersensory visions
Authors: Roy Elodie A.
Published: August 2023

Chapter 3 surveys the intersensory position of recorded sound in the interwar period – also conceived of as a ‘golden age’ of shellac. It notably does so through recovering the largely forgotten – yet significant – trope of the ‘mirror of the voice’ and surveying how it was materially and discursively interpreted by groups as diverse as theorists, artists and home recordists. The first section discusses the visual phono-fetishism of the interwar period and critically reengages with Adorno’s essays on phonography. As a counterpoint, the second part of the chapter attends to the defetishising discourse offered by interwar art and design practices (notably those carried out at the Bauhaus in Weimar).
NÍVEL DE ATENDIMENTO À LEI DE ACESSO À INFORMAÇÃO EM PORTAIS ELETRÔNICOS DOS CONSELHOS PROFISSIONAIS DE CONTABILIDADE DA REGIÃO NORTE
Authors: Oestereich Anderson Barreiros , Costa Filho Francisco Carlos da , Paiva Luis Eduardo Brandão , Matos Tissiany Melo
Published: August 2023

Este estudo teve como objetivo analisar os níveis de transparência dos conselhos regionais de contabilidade da região Norte do Brasil, adotando como referência um questionário com 13 itens em conformidade com as exigências do Acórdão 96/2016 do Tribunal de Contas da União (TCU), que notificou os conselhos profissionais a se adequarem aos requisitos da Lei de Acesso à Informação (LAI). Esta pesquisa é classificada como quantitativa e descritiva, pois, neste caso, foram coletadas e analisadas as informações dos portais eletrônicos dos conselhos para quantificar os respectivos níveis de atendimento à transparência, assim como as suas correlações. A partir disso, os resultados encontrados indicaram um nível geral de transparência de 86%; dos 13 itens avaliados, apenas 1 estado atendeu 100% dos itens e 3 estados ficaram abaixo do índice geral. As correlações encontradas, no geral, evidenciaram o fato de que os conselhos regionais que são mais robustos, especialmente por meio as variáveis (funcionários, profissionais registrados e orçamento), que apresentaram uma relação positiva com índice de transparência.
Wall loss of semi-volatile organic compounds in a Teflon bag chamber for the temperature range of 262–298 K
Authors: He Longkun , Liu Wenli , Li Yatai , Wang Jixuan , Kuwata Mikinori , Liu Yingjun
Published: August 2023

Abstract. Teflon bag chambers have long been used for investigating atmospheric chemical processes, including secondary organic aerosol formation. Wall-loss process of gas-phase species in Teflon bag chambers has typically been investigated at around room temperature. Recent laboratory studies started employing Teflon bag chambers at sub-273 K conditions for simulating wintertime and upper tropospheric environments. However, temperature dependence in vapor wall-loss processes of semi-volatile organic compounds (SVOCs) in a Teflon bag chamber has not well been investigated. In this study, we experimentally investigated wall-loss process of C14-C19 n-alkanes in a 1 m3 Teflon bag for the temperature range of 262 to 298 K. Enhanced wall losses of the tested n-alkanes were observed following the decrease in temperature. For instance, 65 % of C14 n-alkane was lost to the wall 15 hours after injection at room temperature, while the corresponding value was 95 % at 262 K. The experimental data were analyzed using the two-layer kinetic model, which considers both absorption of gas phase species to the surface layer of Teflon wall and diffusion to the inner layer. The experimental data demonstrated that absorption of gas phase species by the surface layer enhanced at lower temperature. The temperature dependence in absorption was well accounted using the equilibrium dissolution model of organic compounds to the Teflon surface by considering reduced saturation vapor pressure at lower temperature. On the contrary, diffusion process of n-alkanes from the surface to inner layer slowed down at reduced temperature. Hence the relative importance of the surface and inner layers on wall-loss process changes with temperature. Mechanistic studies on these processes will need to be conducted in the future to quantitatively predict the influence of temperature-dependent wall-loss processes of SVOCs on laboratory experimental results.
Weathering trends in the Norian through geochemical and rock magnetic analyses from the Pignola-Abriola Section (Lagonegro Basin, Italy)
Authors: Maron Matteo , Onoue Tetsuji , Satolli Sara , Soda Katsuhito , Sato Honami , Muttoni Giovanni , Rigo Manuel
Published: August 2023

Abstract. We investigated the geochemical and rock magnetic properties of the magnetostratigraphically-calibrated Pignola-Abriola section (Italy) in order to understand the climatic perturbations that characterize the late Norian–early Rhaetian interval (Late Triassic). We performed experiments on anhysteretic and isothermal remanence (ARM, IRM), and on magnetic susceptibility (χ), to obtain the rock magnetic parameters necessary for our paleoclimatic investigation. An episode of increase in relative quantity of hematite, suggesting enhanced subaerial oxidation of iron minerals, was identified in the Norian from ~217 Ma in the Alaunian up to ~211 Ma in the early Sevatian, followed by a decline up to 207–206 Ma at the end of the Norian (late Sevatian). The results of geochemical and multivariate statistical analyses support a long-term increase and reduction in rock weathering, confirming and extending previous 87Sr/86Sr data from the Pizzo Mondello section (Italy). Possible causes of these long-term weathering trends are the multiphase uplifting of the Cimmerian orogen, occurring at mid northern latitudes along the southern margin of Asia in the Late Triassic, and/or the northward motion of Pangea across the equatorial humid belt. Rapid excursions in oxidized iron minerals have also been observed across the Norian/Rhaetian boundary, the origin of which has still to be determined.
New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret
Authors: Netzel Timon , Miebach Andrea , Litt Thomas , Hense Andreas
Published: August 2023

Abstract. Quantitative local paleoclimate reconstructions are an important tool for gaining insights into the climate history of the Earth. The complex age–sediment–depth and proxy–climate relationships must be described in an appropriate way. Bayesian hierarchical models are a promising method for describing such structures. In this study, we present a new age–depth transformation in a Bayesian formulation by determining the uncertainty information of depths in lake sediments at a given age. This enables data-driven smoothing of past periods, which allows for better interpretation. Furthermore, we introduce a systematic way to establish transfer functions that map climate variables to biome distributions. This includes consideration of various machine learning algorithms for solving the classification problem of biome presence and absence, taking into account uncertainties in the proxy–climate relationship. For the models and biome distributions used, a simple feedforward neural network wins. Based on this, we formulate a new Bayesian hierarchical model that generates local paleoclimate reconstructions. This is applied to plant-based proxy data from the lake sediment of Lake Kinneret. Here, a priori information on the recent climate in this region and data on arboreal pollen from this lake are used as boundary conditions. To solve this model, we use Markov chain Monte Carlo sampling methods. During the inference process, our new method generates taxa weights and biome climate ranges. The former shows that less weight needs to be given to Olea europaea to ensure the influence of the other taxa. In contrast, the highest weights are found in Quercus calliprinos and Amaranthaceae, resulting in appropriate flexibility under the given boundary conditions. In terms of climate ranges, the posterior probability of the Mediterranean biome reveals the greatest change, with an average boreal winter (December–February) temperature of 10 °C and an annual precipitation of 700 mm for Lake Kinneret during the Holocene. The paleoclimate reconstruction for this period shows comparatively low precipitation of about 400 mm during 9–7 and 4–2 cal ka BP. The respective temperature fluctuate much less and stays around 10 °C.
Potential of Machine learning techniques compared to MIKE-SHE model for drain flow predictions in tile-drained agricultural areas of Denmark
Authors: Mahmood Hafsa , Ferré Ty P. A. , Schneider Raphael J. M. , Stisen Simon , Frederiksen Rasmus R. , Christiansen Anders V.
Published: August 2023

Abstract. Temporal drain flow dynamics and understanding of their underlying controlling factors are important for water resource management in tile-drained agricultural areas. The use of physics-based water flow models to understand tile drained systems is common. These models are complex, with large parameter sets and require high computational effort. The primary goal of this study was to examine whether simpler, more efficient machine learning (ML) models can provide acceptable solutions. The specific aim of our study was to assess the potential of ML tools for predicting drain flow time series in multiple catchments subject to a range of climatic and landscape conditions. The investigation is based on unique data containing time series of daily drain flow in multiple field scale drain sites in Denmark. The data include: climate (precipitation, potential evapotranspiration, temperature); geological properties (clay fraction, first sand layer thickness, first clay layer thickness); and topographical indexes (curvature, Topographical wetness indexes, Topographical position index, elevation). Both static and dynamic variables are used in the prediction of drain flows. The ML algorithm extreme gradient boosting (XGBoost) and convolutional neural network (CNN) were examined, and the results were compared with a physics-based distributed model (MIKE-SHE). The results show that XGBoost performs similarly to the physics-based MIKE-SHE models, and both outperform CNN. Both ML models required significantly less effort to build, train, and run than MIKE-SHE. In addition, the ML models support efficient feature importance analysis. This showed that climatic variables were important for CNN models and XGBoost. The results support the use of ML models for hydrologic applications with sufficient data for training. Further, the insights offered by the feature importance analysis may support further data collection and developments of physics-based models when existing data are insufficient to support ML approaches.
Batoniite, [Al8(OH)14(H2O)18](SO4)5  ⋅  5H2O, a new mineral with the [Al8(OH)14(H2O)18]10+ polyoxocation from the Cetine di Cotorniano Mine, Tuscany, Italy
Authors: Mauro Daniela , Biagioni Cristian , Sejkora Jiří , Dolníček Zdeněk , Škoda Radek
Published: August 2023

Abstract. The new mineral batoniite,
[Al8(OH)14(H2O)18](SO4)5 ⋅ 5H2O,
was discovered in the Cetine di Cotorniano Mine, Chiusdino, Siena,
Tuscany, Italy. It occurs as hemispherical aggregates composed of brittle
tabular crystals, up to 1 mm in size, white to colorless in color, with a
white streak and a vitreous to greasy luster. Batoniite is biaxial negative,
with α= 1.4833(6), β= 1.4948(6), γ= 1.5019(5)
(589 nm), and 2V(meas.)= 71(1)∘. Electron microprobe
analysis, affected by the dehydration of batoniite under the chamber vacuum,
gave (in wt %) the following: Al2O3 33.48, Fe2O3 0.05, SO3
33.00, and H2Ocalc 44.41, total 110.94. It corresponds to the chemical
formula (Al7.98Fe0.013+)Σ7.99(SO4)5.01(OH)13.95(H2O)18 ⋅ 5H2O. Batoniite is triclinic, belonging to space group P1‾, with a= 9.1757(6), b= 12.0886(9), c= 20.9218(15) Å, α= 82.901(3),
β= 87.334(3), γ= 86.999(2)∘, V= 2297.8(3) Å3, and Z= 2. The crystal structure was refined to R1= 0.0916
for 8118 unique reflections with Fo>4σ(Fo) and
811 refined parameters and 60 restraints. Batoniite is characterized by
isolated [Al8(OH)14(H2O)18]10+ polyoxocations,
H-bonded to five interstitial (SO4)2− and five H2O groups. In
type material, it is associated with gypsum and a poorly crystallized Al–Fe
sulfate. The crystallization of batoniite is probably due to the action of
H2SO4 on Al-bearing rocks of Paleozoic age cropping out in the
Garibaldi Tunnel, the lowest mining level of the Cetine di Cotorniano Mine.
GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat imagery and continuous change-detection method
Authors: Zhang Xiao , Zhao Tingting , Xu Hong , Liu Wendi , Wang Jinqing , Chen Xidong , Liu Liangyun
Published: August 2023

Abstract. Land cover change has been identified as an important cause or driving force of global climate change and is a significant research topic. Over the past few decades, global land-cover mapping has progressed, however, long time-series global land-cover change monitoring data are still sparse, especially at 30-m resolution. In this study, GLC_FCS30D is described as the first global 30-m land-cover dynamic monitoring dataset, containing 35 land-cover subcategories and covering the period of 1985–2022 with 26 time-steps (maps updated every five years before 2000 and annually after 2000). GLC_FCS30D has been developed using continuous change detection and all available Landsat imagery based on the Google Earth Engine platform. In specific, we first take advantage of the continuous change-detection model and full time-series Landsat observations to capture the time-points of changed pixels and identify the temporally stable areas. Then, we apply a spatiotemporal refinement method to derive the globally distributed and high-confidence training samples from these temporally stable areas. Next, locally adaptive classification models are used to update the land-cover information for the changed pixels, and a temporal-consistency optimization algorithm is adopted to improve their temporal stability and suppress some false changes. Further, the GLC_FCS30D product is validated using 84,526 globally distributed validation samples in 2020 and achieves an overall accuracy of 80.88 % (±0.27 %) for the basic classification system (10 major land-cover types) and 73.24 % (±0.30 %) for the LCCS level-1 validation system (17 LCCS land-cover types). Meanwhile, two third-party time-series validation datasets in the United States and Europe Union are also collected for analyzing accuracy variations, and the results show that the GLC_FCS30D offers significant stability for time-series accuracy variation and achieves the mean accuracies of 79.50 % (±0.50 %) and 81.91 % (±0.09 %) over the two regions. Last, we conclude the global land-cover change information from GLC_FCS30D dataset, namely, the forest and cropland variations dominate global land cover change over past 37 years, and net loss of forests reaches about 2.5 million km2 and net gain in cropland area is approximately 1.3 million km2. Therefore, the novel GLC_FCS30D is an accurate time-series land-cover dynamic monitoring product benefiting from its diverse classification system, high spatial resolution and the long time span of 1985–2022, thus, it will effectively support global climate change research and promote sustainable development analysis. The GLC_FCS30D datasets are available via https://doi.org/10.5281/zenodo.8239305 (Liu et al, 2023).
Technical note: Overview and comparison of three quality control algorithms for rainfall data from personal weather stations
Authors: El Hachem Abbas , Seidel Jochen , O'Hara Tess , Villalobos Herrera Roberto , Overeem Aart , Uijlenhoet Remko , Bárdossy András , de Vos Lotte
Published: August 2023

Abstract. The number of rainfall observations from personal weather stations (PWSs) has increased significantly over the past years; however, there are persistent questions about data quality. In this paper, an examination and comparison of three quality control algorithms (PWSQC, PWS-pyQC, and GSDR-QC) designed for the quality control of rainfall data is presented. The focus was on a series of rainfall events occurring in the Amsterdam area between May 2017–May 2018. Quality issues observed include faulty zeros i.e., the underreporting of rainfall, significant gaps in the dataset, and systematic bias often caused by incorrect setup and installation of the PWS. The analysis shows that all three algorithms improve PWS data quality when cross-referenced against rain radar. The considered algorithms have different strengths and weaknesses depending on PWS and official data availability, making it inadvisable to recommend one over another without carefully considering the specific setting. The need for further objective quantitative benchmarking of QC algorithms requiring freely available test datasets representing a range of environments, gauge densities, and weather patterns is highlighted.
A vision-based robotic system following the human upper-limb sewing action
Authors: Zhang Liming , Wang Xiaohua , Wang Haoyi , Li Pengfei
Published: August 2023

Abstract. In human–robot collaborative sewing, the robot follows the sewing action of a worker to complete the corresponding sewing action, which can enhance production efficiency. When the robot follows the sewing action of the worker through interactive information, it still faces the problem of low accuracy. In order to improve the accuracy of the robot following the sewing action, a human upper-limb sewing-action-following system based on visual information is designed in this paper. The system is composed of an improved OpenPose model, Gaussian mixture model (GMM), and Gaussian mixture regression (GMR). In the system, an improved OpenPose model is used to identify the sewing action of the human upper limb, and the label fusion method is used to correct the joint point labels when the upper limb is covered by fabric. Then the GMM is used to encode each motion element and time to obtain the regression work of the Gaussian component. GMR is adopted to predict connections between moving elements and generate sewing motion trajectories. Finally, the experimental verification and simulation are carried out in the experimental platform and simulation environment of the collaborative robot. The experimental results show that the tracking error angle can be controlled within 0.04 rad in the first 2 s of robot movement. Therefore, it can be considered that the sewing-action-following system can realize higher precision and promote the development of human–robot collaboration technology to a certain extent.
Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022
Authors: Zheng Yaowen , Golledge Nicholas R. , Gossart Alexandra , Picard Ghislain , Leduc-Leballeur Marion
Published: August 2023

Abstract. Surface melting is one of the primary drivers of ice shelf collapse in Antarctica and is expected to increase in the future as the global climate continues to warm because there is a statistically significant positive relationship between air temperature and melting. Enhanced surface melt will impact the mass balance of the Antarctic Ice Sheet (AIS) and, through dynamic feedbacks, induce changes in global mean sea level (GMSL). However, the current understanding of surface melt in Antarctica remains limited in terms of the uncertainties in quantifying surface melt and understanding the driving processes of surface melt in past, present and future contexts. Here, we construct a novel grid-cell-level spatially distributed positive degree-day (PDD) model, forced with 2 m air temperature reanalysis data and spatially parameterized by minimizing the error with respect to satellite estimates and surface energy balance (SEB) model outputs on each computing cell over the period 1979 to 2022. We evaluate the PDD model by performing a goodness-of-fit test and cross-validation. We assess the accuracy of our parameterization method, based on the performance of the PDD model when considering all computing cells as a whole, independently of the time window chosen for parameterization. We conduct a sensitivity experiment by adding ±10 % to the training data (satellite estimates and SEB model outputs) used for PDD parameterization and a sensitivity experiment by adding constant temperature perturbations (+1, +2, +3, +4 and +5 ∘C) to the 2 m air temperature field to force the PDD model. We find that the PDD melt extent and amounts change analogously to the variations in the training data with steady statistically significant correlations and that the PDD melt amounts increase nonlinearly with the temperature perturbations, demonstrating the consistency of our parameterization and the applicability of the PDD model to warmer climate scenarios. Within the limitations discussed, we suggest that an appropriately parameterized PDD model can be a valuable tool for exploring Antarctic surface melt beyond the satellite era.
A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
Authors: Åström Jan , Haapala Jari , Polojärvi Arttu
Published: August 2023

Abstract. Sea ice motion and fragmentation forecasts are of vital importance for all human interaction with sea ice, ranging from indigenous hunters to shipping in polar regions. Sea ice models are also important for modelling long term changes in a warming climate. Here we apply a discrete element model (HiDEM), originally developed for glacier calving, to sea ice break-up and dynamics. The code is highly optimized to utilize high-end supercomputers to achieve extreme time and space resolution. Simulated fracture patterns and ice motion are compared to satellite images in the Kvarken region of the Baltic sea in March 2018. A second application is ice ridge formation in the Bay of Riga. With a few tens of graphics processing units (GPUs) the code is capable of reproducing observed ice patterns, that in nature may take a few days to form, over an area ∼ 100 km × 100 km, with an 8 m resolution, in computations lasting ∼ 10 hours. The simulations largely reproduce observed fracture patterns, ice motion, fast ice regions, floe size distributions, and ridge patterns. The similarities and differences between observed and computed ice dynamics and their relation to initial conditions, boundary conditions and applied driving forces are discussed in detail. The results reported here indicate that HiDEM has the potential to be developed into a high-resolution detailed model for sea ice dynamics over short time scales, which combined with large-scale and long-term continuum models may form an efficient framework for sea ice dynamics forecasts.
Using Taxes to Attract the Creative Class in the Presence of a Region-Specific Rent
Authors: Batabyal Amitrajeet A. , Yoo Seung Jick
Published: August 2023

We analyze interregional competition between two regions A and B that use taxes to attract a representative creative class member (the entrepreneur). This entrepreneur establishes a firm in either region A or B, which guarantees her profit. However, if the entrepreneur locates in region A, she also obtains a stochastic, location-specific rent that is either high with positive probability or low with positive complementary probability. In this setting, we accomplish three tasks. First, given the values of the two tax rates, we determine the payoff to the entrepreneur in the two regions for the two possible values of the location-specific rent in A. Second, we ascertain when the entrepreneur will locate in A for both the rent values and when she will locate in B. Finally, we compute the tax rate that B will set and then specify a condition which ensures that the entrepreneur locates in B.
Religion and Economic Growth: Evidence from U.S. Counties
Authors: Petach Luke , Powell Aiden
Published: August 2023

This paper examines the impact of religious participation on regional economic growth. Using data on GDP growth for United States counties from the Bureau of Economic Analysis (BEA) Regional Economic Accounts and data on county-level religious participation from the Association of Religion Data Archives (ARDA), this paper estimates the impact of religiosity on growth using two-way fixed-effects Barro regressions for the period 2000 to 2020. In our preferred specification, a ten percentage-point increase in the county religious adherent share reduces the 10-year compound annual growth rate of per-capita GDP by 0.14 percentage points (a 19% reduction relative to the sample mean). A battery of sensitivity checks suggests our results are unlikely to be driven by omitted variable bias: both the Oster (2019) adjustment for selection on unobservables and Kinky Least Squares (KLS) regression estimates indicate that OLS understates the negative impact of religion on regional economic growth. We argue that the negative impact of religion on regional economic growth is consistent with previous findings of increased business survival and increased small business activity in a framework where the social capital generated from religious participation results in inefficiently low regional dynamism.
Veterinary communication skills: student perceptions
Authors:   FSFEI HE SPbSUVM, Korotkova N.L.
Published: August 2023

The article is devoted to the characteristics of communication in veterinary clinical practice. It is concluded that it is necessary to develop communicative competence in the process of professional training as one of the most important professional competencies of a future veterinary doctor.
Bilateral Ovarian Mature Teratoma in a Middle-Aged Female: A Rare Entity
Authors:   All India Institute of Medical Sciences, Mangalagiri, India., Shankaralingappa Arundhathi
Published: August 2023

Mature cystic teratomas of ovary accounts for 10-20% of bilateral ovarian neoplasm. Majority of ovarian mature cystic teratomas are unilateral. Bilateral presentation
Hangman’s Fracture Caused by a Truck Cabin Tilting Backward: A Case Report
Authors:   Ulsan University Hospital, University of Ulsan College of Medicine, Cha Jae Ryong
Published: August 2023

Hangmans fracture is a term used to describe traumatic spondylolisthesis of C2. Conservative treatment is usually effective in stable and neurologically normal patients
Follicular Fibroma Combined with Lymphoma: A Case Report and Literature Review
Authors:   The First College of Clinical Medical Science, China Three Gorges University, China, Yang Yuxia
Published: August 2023

Follicular theca fibroma is a benign tumor originating from ovarian sex cord stromal cells [1]. Due to the coexistence of follicular theca cells and fibroma
Havacılık Sektöründe Kullanılan Karbon Fiber Takviyeli Polimer (CFRP) Kompozitlerin Tamiri
Authors: AKPINAR Bengisu , ULUOĞLU Arman , SONAT Evren
Published: August 2023

Havacılık sektöründe kullanılan kompozit malzemeler genel olarak karbon fiber takviyeli plastikler, cam fiber takviyeli plastikler ve aramidlerdir. Bu çalışmada avantajlarından dolayı sıklıkla kullanılan, karbon fiberle güçlendirilmiş plastik malzemelerin (CFRP) üretim, montaj veya servis ömrü boyunca çıkan uygunsuzlukları gidermek amaçlı kullanılan tamir yöntemleri ele alınmıştır. Havacılık sektöründe en yaygın kullanılmakta olan tamir yöntemlerinden 3 tanesi açılı açma (scarf), basamak şeklinde açma (step) ve üst üste bindirme (overlap) yöntemleridir. Yapılan çalışmada bu tamir yöntemlerinden ve kullanılan muayene yöntemlerinden genel olarak bahsedilmiştir. Ayrıca, hasarlı bir parça üzerinde basamak şeklinde açma ve açılı açma yöntemlerinin uygulanışı ayrıntılı bir şekilde gösterilmiştir.
Accuracy comparison of mobile mapping system for road inventory
Authors: KURŞUN Hüseyin
Published: August 2023

Mobile Mapping Systems (MMSs) stand out as the preferred solution for achieving highly precise 3D environmental models, particularly in urban planning, highway mapping, asset inventory, corridor mapping, traffic safety evaluation, autonomous vehicle, digital twin, and emergency response mapping where traditional aerial or satellite surveys often fall short in providing precise data. Understanding the intricate factors that impact the accuracy of mobile mapping is pivotal to harnessing the full potential of this advanced measurement technique. This study analyzes the spatial accuracy of geographical data produced by the mobile mapping method, considering factors such as the speed of the mobile mapping tool, measurement time difference, camera shooting distance of the produced data, and differences in picture shooting distances. The acquired results were examined for their applicability in the production of inventory along the highway route, revealing their practical usability through analysis and findings. This investigation delves into the proficiency and precision benchmarks of mobile mapping systems, specifically in the context of creating road inventory and supporting decision-making for road systems. The study discusses the usability and accuracy criteria of mobile mapping systems for creating transportation inventory and decision support systems.
Il farmaco più costoso del mondo
Authors: Guala Andrea , Parodi Emilia
Published: August 2023

Si discute di un farmaco innovativo per l’emofilia B, riportando tutti quelli che sono gli aspetti delle frontiere delle nuove terapie (molecolari, genetiche) che devono fare “i conti” con la sostenibilità economica e con nuove regole che dovranno riguardare il mercato farmaceutico.
Rezension von: Uhl, Stefan, Schloss Warthausen
Authors: Fleck Walter-Gerd , Uhl Stefan
Published: August 2023

Stefan Uhl: Schloß Warthausen. Baugeschichte und Stellung im Schloßbau der Renaissance in Schwaben. Biberacher Studien Bd. 4. Hrsg, vom Stadtarchiv Biberach. Bad Buchau: Federsee-Verlag, 1992
Danos ao participante de pesquisa clínica: a natureza da responsabilidade civil do pesquisador, do patrocinador e das instituições envolvidas
Authors: Reckziegel Janaína , Carniato Daniela Lavina
Published: August 2023

Este estudo tem como tema a responsabilidade civil do pesquisador, do patrocinador e das instituições, perante o participante de pesquisa clínica. Diante da ausência de lei formal específica regulamentando o assunto, tem como objetivo geral identificar a modalidade de responsabilidade civil de cada agente executor de pesquisa clínica e, como objetivos específicos, analisar o panorama normativo acerca da matéria, esclarecer as principais características das responsabilidades objetiva, subjetiva e solidária e apontar se as normas já editadas são suficientes para atribuir, com segurança jurídica, a responsabilidade dos respectivos executores. Quanto à metodologia, a construção argumentativa é feita com o emprego das técnicas documental e bibliográfica, adotando-se uma abordagem qualitativa. Os principais resultados indicam que, não obstante incidirem, em todas as fases de pesquisa clínica, as normas da Constituição Federal, do Código Civil e os itens da Resolução n. 466/2012 do Conselho Nacional de Saúde, além de, na fase IV (pós-comercialização), incidir o Código de Defesa do Consumidor, seria mais seguro, para todos os envolvidos, se houvesse uma lei formal específica sobre o tema. A conclusão demonstra, em síntese, que (a) o pesquisador responde subjetivamente pelos próprios atos e objetivamente pelos atos dos pesquisadores auxiliares e da equipe de apoio técnico; (b) o patrocinador e as instituições envolvidas respondem objetivamente; e (c) em todas as fases de pesquisa, os agentes executores respondem solidariamente.
“COMPARISON OF ULTRASOUND AND CHEST X-RAY FOR LOCALIZATION OF CENTRAL VENOUS CATHETER
Authors: NAWADAT Q , KHALID MA , ATTA A
Published: August 2023

We are pleased to inform you that your manuscript No. MS/BCSRJ/2023/2200311305, Titled: “COMPARISON OF ULTRASOUND AND CHEST X-RAY FOR LOCALIZATION OF CENTRAL VENOUS CATHETER,” received on 9th September2022 and under consideration with BCSRJ has been approved by reviewers and our editorial team on 21st May 2023 for publication in the Volume 2023 of “Biological and Clinical Sciences Research Journal (BCSRJ).”
EVALUATING CLINICAL ALVARADO SCORING SYSTEM AND CT CRITERIA IN THE DIAGNOSIS OF ACUTE APPENDICITIS
Authors: SOHAIL M , ZAIDI H , AAMIR O
Published: August 2023

The retrospective study was conducted in Combined Military Hospital from January 2021- January 2022 to assess the diagnostic value of CT and the clinical Alvarado scoring system for patients with acute appendicitis. A total of 200 participants were included in the study. Patient details were recorded, including demographic data, radiological findings, Alvarado clinical assessment scoring, and pathological findings. CT evaluation was based on the diameter of the Appendix, presence or absence of appendicolith, peri appendiceal inflammation, and free fluid. Results showed that there was a significant association between CT criteria (free fluid, peri appendiceal inflammation, and appendicolith) and the presence of appendicitis (P=.01). There also was a significant association between Alvarado score and appendicle diameter (P=.01), and also between WBC and appendicle diameter (P=.01). The cut-off value obtained for appendicle diameter was 6.4 mm. Computed tomography is an accurate modality for diagnosing acute appendicitis. CT and Alvarado score systems provide helpful insight for diagnostic workup of suspected cases of acute appendicitis.
DESIGN OF THE PERMANENT MAGNET SYNCHRONOUS MOTOR USED IN ELECTRIC VEHICLES WITH THE HELP OF THE PARTICLE SWARM ALGORITHM AND ANSYS-MAXWELL
Authors: ÖZÜPAK Yıldırım , ÇINAR Mehmet
Published: August 2023

Performance and efficiency are among the most important parameters in electric motors. Improvements to the engine not only increase engine performance, but also affect production costs. Permanent Magnet Synchronous Motor (PMSM) is a motor widely used in electric vehicles with its high torque density, high efficiency and production advantages. In this study, 110 kW (Adjust-Speed Permanent Magnet Synchronous Motor) AS-PMSM was designed for electric vehicle applications. The results of ANSYS-Maxwell and Particle Swarm Optimization (PSO) algorithms and the calculations of the optimized design were compared in line with the obtained data. In the design study, theoretical calculations, PSO algorithm and finite element method (FEM) based ANSYS-Maxwell software were used. Based on these values, the computer aided design of the engine was carried out. First of all, the basic design and performance criteria of the engine were determined. Parameters of the motor such as torque ripple, iron loss, efficiency and electromagnetic analysis were analyzed and optimized with ANSYS-Maxwell. Then, electrical, magnetic and performance analyzes of the motor were made. How the engine performance changes with the methods used has been examined in detail. Efficiency values were determined under various operating conditions in engine performance studies. The validity of the improvement study and the verification of the design study were examined by comparing the ANSYS results with the PSO algorithm results. The analysis results showed that the designed electric motor met the desired power values and design performance criteria.
Comparative study of water requirements and water footprints of fibre crops hemp (Cannabis sativa) and cotton (Gossypium hirsutum L.)
Authors: WISE KIMBER , BAZIOTOPOULOS ESTELLA , ZHANG CATHERINE , LEAMING MYLES , SHEN LI-HENG , SELBY-PHAM JAMIE
Published: August 2023

Water is a valuable and limited resource, which is becoming increasingly under pressure due to the impacts of climate change and over utilization by the agricultural industry. Cotton is the predominant natural fibre utilized within textiles and is a highly water-intensive crop, thereby contributing to the negative environmental impacts of water use in agriculture, such as depletion of water from ecosystems and other uses, land degradation, and dissemination of pollutants. Accordingly, there is significant interest in establishing alternative natural fibre sources, which have lower water requirements. Cannabis sativa (hemp) fibre is becoming an increasingly popular fibre alternative and is purported to require less water during its cultivation. Accordingly, herein data was compared across 28 prior published sources, which identified that hemp has a 38% lower crop water requirement (CWR), 60% lower water footprint (WF), 84% lower crop irrigation requirement (CIR), and 91% lower irrigated water footprint (IRF) as compared to cotton. Therefore, these results support hemp as a water-efficient environmentally sustainable alternative to cotton for fibre cultivation.
Aspectos de la historia natural del Chango de montaña (Macroagelaius subalaris)
Authors:   Fundación ProAves, Dávila Diego A. , Cortes-Diago Alex ,   Fundación ProAves, Borrero-Alvarez Andrea ,   Fundación ProAves
Published: August 2023

Durante 15 meses (septiembre 2021 a noviembre 2022) se llevaron a cabo expediciones a 20 localidades en 15 municipios del departamento de Santander, Colombia; con el fin de encontrar y observar la especie Macroagelaius subalaris, la cual cuenta con categoría de amenaza En Peligro (EN) a nivel global. A partir de los resultados de este periodo de búsqueda y observación de la especie, se obtuvieron datos importantes de distribución, uso de hábitat, comportamiento y amenazas.
Diversidad de aves dentro y fuera de un robledal y un bosque seco, Santander Colombia
Authors:   Universidad Industrial de Santander, Poveda Yeison , Becerra Leider ,   Universidad Industrial de Santander, Acevedo José ,   Universidad Industrial de Santander, Suescún Diego ,   Universidad Industrial de Santander
Published: August 2023

La fragmentación de bosques afecta la fauna silvestre en especial a las comunidades de aves altamente susceptibles a las perturbaciones. La conversión de bosques a sistemas productivos afecta negativamente la riqueza y abundancia de aves, y los procesos ecológicos en los que participan para el funcionamiento de los ecosistemas. Usando transectos y puntos fijos, se evaluó la diversidad de la comunidad de aves en el interior y exterior de un robledal y un bosque seco en Santander Colombia. La riqueza se correlacionó con la temperatura y humedad. Se registraron 3315 individuos correspondientes a 124 especies y 37 familias, incluyendo especies amenazadas y endémicas. La diversidad beta entre la zona interna y externa de cada tipo de bosque fue moderada (Jaccard 0.64 y 0.60). En ambos bosques, la riqueza de aves fue mayor en la zona externa que interna. A pesar de que los fragmentos de bosques se encuentran rodeados de sistemas productivos, sin estar protegidos bajo una figura legal, en ellos se conserva una alta diversidad de aves.
Evaluación de especies de aves amenazadas en Colombia
Authors:   The Galápagos Conservation Trust, Salaman Paul , Cortes-Diago Alex ,   Fundación ProAves, Luna Juan Carlos ,   Fundación ProAves, Borrero-Alvarez Andrea ,   Fundación ProAves, Lázaro Toro Juan ,   Fundación ProAves
Published: August 2023

La Fundación ProAves evaluó el estado de la Lista Roja de la Unión Internacional para la Conservación de la Naturaleza (UICN) de 12 especies de aves amenazadas registradas en Colombia, para la actualización de la Lista Roja de 2020. Nuestra revisión confirmó la evaluación de BirdLife donde tres especies deben ascender a un estado superior, una permanece sin cambios y ocho especies descienden a una categoría de amenaza más baja. Nuestra mayor preocupación es por dos colibríes, Perija Starfrontlet (Coeligena consita) y Santa Marta Sabrewing (Campylopterus phainopeplus), ambos recomendados como En Peligro Crítico (CR), mientras que Santa Marta Foliage-gleaner (Clibanornis rufipectus) se recomienda como Vulnerable (VU) (de Casi amenazado). En Colombia, el Gran Guacamayo Verde (Ara ambiguus) sigue siendo una especie con gran preocupación y recomendamos que continúe en la categoría En Peligro de extinción (EN). Coincidimos con BirdLife en que las otras ocho especies se incluyan en la lista descendente, pero dos especies: Glittering Starfrontlet (Coeligena orina) y Five-colored Barbet (Capito quinticolor) se clasifican en una categoría de amenaza más baja. En general, al realizar esta evaluación, nos preocupa el estado de amenaza de algunas especies en la Lista Roja Nacional, ya que repetidamente se pasa por alto las especies en grave riesgo de extinción, aparentemente influenciadas por proyecciones inexactas de Extensión de ocurrencia y de Área de ocupación.
Aportes de los registros durante la temporada de migración 2019-2020 en las Reservas Naturales de la Fundación ProAves
Authors:   Fundación ProAves, Borrero-Alvarez Andrea , Cortes-Diago Alex ,   Fundación ProAves, Salaman Paul ,   Galápagos Conservancy
Published: August 2023

Se presentan los resultados de los registros obtenidos durante la temporada de migración octubre 2019-abril 2020, en 19 Reservas Naturales de la Fundación ProAves, distribuidas en diferentes áreas del territorio colombiano
THIẾT KẾ CHỦ ĐỀ DẠY HỌC STEM TÍCH HỢP GIÁO DỤC HƯỚNG NGHIỆP CHO HỌC SINH TRONG DẠY HỌC CHUYÊN ĐỀ “HOÁ HỌC TRONG VIỆC PHÒNG CHỐNG CHÁY NỔ” (MÔN HOÁ HỌC LỚP 10, CHƯƠNG TRÌNH GIÁO DỤC PHỔ THÔNG 2018)
Authors: Minh Thái Hoài
Published: August 2023

Môn Hoá học trong chương trình Giáo dục phổ thông 2018 đề cao tính thực tiễn, giúp học sinh (HS) có kĩ năng vận dụng tri thức hoá học vào việc giải quyết vấn đề ở mức độ nhất định. Chương trình môn học cũng khuyến khích việc triển khai giáo dục STEM trong dạy học nhằm phát triển cho HS khả năng tích hợp kiến thức và kĩ năng của các môn học Toán - Kĩ thuật - Công nghệ và Khoa học trong giải quyết vấn đề thực tiễn. Môn Hoá học đã cụ thể hoá mục tiêu giáo dục định hướng nghề nghiệp ở cấp Trung học phổ thông (THPT), đặc biệt thông qua các chuyên đề học tập có nội dung liên quan đến thời sống và một số ngành nghề trong xã hội, có thể ứng dụng trong việc giáo dục hướng nghiệp. Với các định hướng đổi mới như vậy, việc tích hợp giáo dục STEM và giáo dục hướng nghiệp trong môn Hoá học là phù hợp và đáp ứng các nhu cầu của nhà giáo dục cũng như HS. Bài báo cáo trình bày về nguyên tắc, quy trình thiết kế và tổ chức chủ đề dạy học STEM tích hợp giáo dục hướng nghiệp trong dạy học chuyên đề “Hoá học trong việc phòng chống cháy nổ”. Kết quả thực nghiệm bước đầu cho thấy HS hứng thú khi tham gia học tập, nhận ra được sở thích và có được một số định hướng nghề nghiệp cho bản thân thông qua chủ đề STEM tích hợp giáo dục hướng nghiệp đã tham gia.
Attitudes of Pregnant Women toward the COVID-19 Vaccine
Authors: Tiryaki Öznur , Zengin Hamide , Akdeniz Kudubeş Aslı , Aksoy Emin Levent , Bostancı Mehmet Sühha
Published: August 2023

Objective: It was carried out to determine the attitudes of pregnant women toward the Covid-19 vaccine and related factors.
Methods: The correlational and descriptive study was conducted with 356 pregnant women. In the study, data were collected using an introductory questionnaire, "Attitudes towards Covid-19 Vaccine Scale", "Vaccination Hesitancy in Pandemics Scale", and "Covid-19 Vaccine Literacy Scale". Research data were analyzed with SPSS 25 package program. One-way ANOVA and Student-t test were used to determine the difference between the descriptive characteristics of the pregnant women participating in the study and the total and sub-dimension mean scores of the Attitude Scale towards the Covid-19 Vaccine. Pearson correlation analysis was used to determine the relationship between the Vaccine Hesitancy Scale in Pandemics, the Covid-19 Vaccine Literacy Scale, and the Attitudes Towards Covid-19 Vaccine Scale. Linear regression analysis was used to determine the factors affecting the Attitudes of Pregnants towards the Covid-19 Vaccine.
Results: It was concluded that 37.4% of the pregnant women did not have any Covid-19 vaccine, 62.6% had the Covid-19 vaccine before pregnancy, and 22.5% had the vaccine during pregnancy. In pregnant women, those who have hesitations about the vaccine in cases such as working, increase in education level, fear of contracting Covid-19 before birth, having pre-pregnancy Covid-19 vaccine, thinking that pregnant women may have Covid-19 vaccine, getting Covid-19 vaccine during pregnancy, etc. increase their attitudes towards vaccination.
Conclusion: Consider to change the conclusion: It was found that quite a few pregnant women received the Covid-19 vaccine during their pregnancy. Pregnant women's vaccination hesitancy influences their attitudes toward Covid-19.