bluuebunny/crossref_metadata_2025 huggingface dataset:
Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates
Authors: Tenkanen Maria K. , Tsuruta Aki , Denier van der Gon Hugo , Höglund-Isaksson Lena , Leppänen Antti , Markkanen Tiina , Petrescu Ana Maria Roxana , Raivonen Maarit , Aalto Tuula
Published: July 2024

Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated a global atmospheric inversion model’s ability to estimate CH4 emissions within a single country, focusing on how the choice of priors and uncertainties affected optimised emissions. The optimised anthropogenic and natural CH4 emissions strongly depended on the prior emissions. While the range of CH4 estimates was large, the optimised emissions were more constrained than the bottom-up estimates. Further analysis of CarbonTracker Europe - CH4 results showed that optimisation aligned the trends of anthropogenic and natural CH4 emission and improved modelled seasonal cycles of natural emissions. Comparison of atmospheric CH4 observations with model results showed no clear preference between anthropogenic inventories (EDGAR v6 and CAMS-REG), but results using the largest natural prior (JSBACH-HIMMELI) best agreed with observations, suggesting that process-based models may underestimate CH4 emissions from Finnish peatlands or unaccounted sources such as freshwater emissions. Additionally, using a process-model spread-based uncertainty estimate for natural CH4 emissions seemed advantageous compared to the standard constant estimate. The average total posterior emission of the ensemble from one inversion model with different priors was similar to the average of the ensemble including different inversion models but similar priors. Thus, a range of priors can be used to reliably estimate CH4 emissions when an ensemble of different models is unavailable.
Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method
Authors: Kelsch Alexander , Claß Matthias , Brüggemann Nicolas
Published: July 2024

Abstract. Regional estimates of ammonia (NH3) emissions are often missing data from heterogeneous or small fields. Areas with no experienced staff or in-field power supply also prevent the use of accurate and fully established micrometeorological measurement techniques. The Dräger Tube Method (DTM) is a calibrated open-dynamic chamber method, which requires little training to use and is comparatively inexpensive. It uses NH3 detector tubes (Dräger Tubes), an automatic pump, as well as a chamber system comprised of four stainless steel chambers connected with PTFE tubing. Even though the DTM is often used in countries such as Germany and China, the detection accuracy, precision and sensitivity have not been tested yet. In order to quantify those for the DTM, we simultaneously measured defined NH3 mixing ratios with the Dräger Tubes, with direct laser absorption spectroscopy (MGA7, MIRO Analytical AG, Switzerland) and with cavity ring-down spectroscopy (G2103, Picarro, Inc., USA). Second, we tested the exchange of the tubing material and heating of the tubing under laboratory conditions, as well as PTFE film attachments or wiping of the DTM chamber system with ethanol during outdoor measurements, on performance improvements. Results showed that the Dräger Tubes had a detection limit between 150 and 200 ppb, which is three to four times higher than originally assumed. Dräger Tube concentration measurements also underestimated NH3 concentrations by 43 up to 100 % for mixing ratios between 50 and 300 ppb, and by 28 up to 46 % for mixing ratios between 500 and 1500 ppb. The PTFE tubing material showed similar performances to the polyester-polyurethane tubing material regarding response time, which was further improved by heating of the tubing to 50 °C. The modifications of the chamber surface and cleaning in the outdoor experiment did not lead to any improvements of NH3 concentration measurements. The results suggest that the DTM should only be used where alternatives are unfeasible and high NH3 emissions are to be expected. A further assessment of calibrated DTM with reference methods is required for a comprehensive evaluation and alternative developments for a more appropriate method replacing the DTM in small plot applications is encouraged.
The impact of mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Authors: Omanovic Nadja , Goger Brigitta , Lohmann Ulrike
Published: July 2024

Abstract. The rise in computational power in recent years enables researches and national weather services to conduct high-resolution simulations down to the kilometric (Δx = 𝒪(1 km)) and even to hectometric (Δx = 𝒪(100 m)) scale for both weather and climate applications. We investigate with the state-of-the-art numerical weather prediction model ICON how mid-level clouds are represented on a mesh size of 1 km and 65 m, respectively, and for two bulk microphysics schemes, one-moment and two-moment cloud microphysics. For this analysis, we leverage the abundant observational data from two independent field campaigns in Switzerland (CLOUDLAB, hilly terrain) and Austria (CROSSINN, complex terrain). With four case studies, we show that while the temperature fields around the campaign sites are well represented in both mesh sizes, the 65 m resolution simulates a more realistic vertical velocity structure beneficial for cloud formation. Therefore, the largest differences for the representation of clouds lies in the two mesh sizes: The 1 km simulation in hilly terrain does not capture the observed clouds in both cloud microphysics schemes. Here, the higher resolution of the vertical velocities in the 65 m proves to be crucial for representing the investigated cloud types, and the two-moment microphysics scheme in general performs better with respect to the cloud characteristics because it considers variations in cloud droplet and ice crystal number concentrations. In complex terrain, the differences between the mesh sizes and the cloud microphysics schemes are surprisingly less, but the 65 m simulations with two-moment cloud microphysics shows the most realistic cloud representation.
Seasonal snow cover indicators in coastal Greenland from in-situ observations, a climate model and reanalysis
Authors: van der Schot Jorrit , Abermann Jakob , Silva Tiago , Rasmussen Kerstin , Winkler Michael , Langley Kirsty , Schöner Wolfgang
Published: July 2024

Abstract. Seasonal snow cover has important climatic and ecological implications for the ice-free regions of coastal Greenland. Here we present, for the first time, a dataset of quality-controlled snow depth measurements from nine locations in coastal Greenland with varying periods between 1997 and 2021. Using a simple modelling approach (∆snow) we estimate snow water equivalent values solely based on the daily time series of snow depth. Snow pit measurements from two locations enable us to evaluate the ∆snow model. As there is very little in-situ data available for Greenland, we then test the performance of the regional atmospheric climate model (RACMO2.3p2, 5.5 km spatial resolution) and reanalysis product (CARRA, 2.5 km spatial resolution) at the nine locations with snow observations. Using the combined information from all three data sources, we study spatio-temporal characteristics of the seasonal snow cover in coastal Greenland by the example of six ecologically relevant snow indicators (maximum snow water equivalent, melt onset, melt duration, snow cover duration, snow cover onset, snow cover end). In particular, we evaluate the ability of RACMO2.3p2 and CARRA to simulate these snow indicators at the nine different locations, perform a time series analysis of the indicators and assess their spatial variability. The different locations have considerable spatial and temporal variability in snow cover characteristics and seasonal maximum snow water equivalent (amount of liquid water stored in the snowpack)values range from less than 50 mm w.e. to greater than 600 mm w.e. The correlation coefficients between maximum snow water equivalent output from ∆snow and CARRA/RACMO are 0.73 and 0.48 respectively. Correlation coefficients are highest for maximum snow water equivalent and snow cover duration, and model and reanalysis output underestimate snow cover onset. We find little evidence of statistically significant (p < 0.05) trends at varied periods between 1997 and 2021 except for the earlier onset of snow melt in Zackenberg (−8 days/decade, p = 0.02, based upon RACMO output). While we stress the need for context-specific validation, this study suggests that in most cases snow depth or snow water equivalent output from CARRA can describe spatial-temporal characteristics of seasonal snow cover, particularly changes in melt onset and snow cover end.
The geomagnetic superstorm of 10 May 2024: Citizen science observations
Authors: Grandin Maxime , Bruus Emma , Ledvina Vincent E. , Partamies Noora , Barthelemy Mathieu , Martinis Carlos , Dayton-Oxland Rowan , Gallardo-Lacourt Bea , Nishimura Yukitoshi , Herlingshaw Katie , Thomas Neethal , Karvinen Eero , Lach Donna , Spijkers Marjan , Bergstrand Calle
Published: July 2024

Abstract. The 10 May 2024 geomagnetic storm was one of the most extreme to have occurred in over 20 years. In the era of smartphones and social media, millions of people from all around the world were alerted to the possibility of exceptional auroral displays. Hence, many people not only witnessed but also photographed the aurora during this event. These observations, although not from traditional scientific instruments, can prove invaluable in obtaining data to characterise this extraordinary event. In particular, many observers saw and photographed the aurora at mid-latitudes, where ground-based instruments targeting auroral studies are sparse or absent. Moreover, the proximity of the event to the northern hemisphere summer solstice meant that many optical instruments were not in operation due to the lack of suitably dark conditions. We created an online survey and circulated it within networks of aurora photographers to collect observations of the aurora and disruptions in technological systems that were experienced during this superstorm. We obtained 696 citizen science reports from over 30 countries, containing information such as the time and location of aurora sightings, observed colours and auroral forms, as well as geolocalisation, network, and power disruptions noticed during the geomagnetic storm. We supplemented the obtained dataset with 186 auroral observations logged in the Skywarden catalogue (https://taivaanvahti.fi) by citizen scientists. The main findings enabled by the data collected through these reports are that the aurora was widely seen from locations at geomagnetic latitudes ranging between 30° and 60°, with a few reports from even lower latitudes. This was significantly further equatorward than predicted by auroral oval models, and that the auroral electron precipitation contained large fluxes of low-energy (< 1 keV) particles. This may explain the predominantly red and pink colours of the aurora as reported by citizen scientists, intense enough to reach naked-eye visibility. This study also reveals the limitations of citizen science data collection via a rudimentary online form. We discuss possible solutions to enable more detailed and quantitative studies of extreme geomagnetic events with citizen science in the future.
In situ Cosmogenic 10Be and 26Al in Deglacial Sediment Reveals Interglacial Exposure, Burial, and Limited Erosion Under the Quebec-Labrador Ice Dome
Authors: Cavnar Peyton M. , Bierman Paul R. , Shakun Jeremy D. , Corbett Lee B. , LeBlanc Danielle , Galford Gillian L. , Caffee Marc
Published: July 2024

Abstract. To understand the erosivity of the eastern portion of the Laurentide Ice Sheet and the isotopic characteristics of the sediment it transported, we sampled buried sand from deglacial features (eskers and deltas) across eastern Canada (n = 10), a landscape repeatedly covered by the Quebec-Labrador Ice Dome. We measured concentrations of 10Be and 26Al in quartz isolated from the sediment and, after correcting for sub-surface cosmic-ray exposure after Holocene deglaciation, used these results to determine nuclide concentrations at the time the ice sheet deposited the sediment. To determine what percentage of sediment moving through streams and rivers currently draining the field area was derived from incision of thick glacial deposits as opposed to surface erosion, we used 10Be and 26Al as tracers by collecting and analyzing modern river sand sourced from Holocene-exposed landscapes (n = 11). We find that all ten deglacial sediment samples contain measurable concentrations of 10Be and 26Al equivalent on average to several thousand years of surface exposure – after correction, based on sampling depth, for Holocene nuclide production after deposition. Error-weighted averages (1 standard deviation errors) of measured 26Al/10Be ratios for both corrected deglacial (6.1 ± 1.2) and modern sediment samples (6.6 ± 0.5) are slightly lower than the production ratio at high latitudes (7.3 ± 0.3) implying burial and preferential decay of 26Al, the shorter-lived nuclide. However, five deglacial samples collected closer to the center of the former Quebec-Labrador Ice Dome have much lower corrected 26Al/10Be ratios (5.2 ± 0.8) than five samples collected closer to the former ice margins (7.0 ± 0.7). Modern river sand contains on average about 1.75 times the concentration of both nuclides compared to deglacial sediment corrected for Holocene exposure. The ubiquitous presence of 10Be and 26Al in eastern Quebec deglacial sediment is consistent with many older-than-expected exposure ages, reported here and by others, for bedrock outcrops and boulders once covered by the Quebec-Labrador Ice Dome. Together, these data suggest that glacial erosion and sediment transport in eastern Canada were insufficient to remove material containing cosmogenic nuclides produced during prior interglacial periods both from at least some bedrock outcrops and from all glacially transported sediment we sampled. Near the center of the Quebec-Labrador Ice Dome, ratios of 26Al/10Be are below those characteristic of surface production at high latitude. This suggests burial of the glacially transported sediment for at least many hundreds of thousands of years and the possibility that ice at the center of the Quebec-Labrador Ice Dome survived many interglacials when more distal ice melted away.
Observed bottom warming in the East Siberian Sea driven by the intensified vertical mixing
Authors: Wang Xiaoyu , Mu Longjiang , Chen Xianyao
Published: July 2024

Abstract. The East Siberian Sea has the broadest continental shelf on Earth and nearly 80 % of the subsea permafrost worldwide. There exists a cold layer with the temperature at freezing points around −1.5 ºC above the sea floor of the shelf, preventing the heat transport from above to melt the permafrost and release the methane from sediments. However, we observed a worrying warming trend at the seafloor caused by enhanced vertical mixing in the shelf of the East Siberian Sea. In an ice-reduced Arctic continental shelf, even a moderate cyclone can result in the rapid growth of high wave to stir the marginal sea uniformly, which is not observed before. The intensified mixing can transport enormous heat downward, leading to a remarkable warming of more than 3 °C at the bottom. As the Arctic is experiencing accelerated warming and the sea ice is rapidly retreating, the East Siberian Sea will undoubtedly suffer more extreme heatwaves, which might cause unpredictable climate impacts on the Arctic biochemical processes and greenhouse gas emission.
A tool for estimating ground-based InSAR acquisition characteristics prior to monitoring installation and survey and its differences from satellite InSAR
Authors: Wolff Charlotte , Derron Marc-Henri , Rivolta Carlo , Jaboyedoff Michel
Published: July 2024

Abstract. Synthetic Aperture Radar (SAR) acquisition can be performed from satellites or from the ground by means of a so-called GB-InSAR (Ground-Based Interferometry SAR), but the signal emission and the output image geometry slightly differ between the two acquisition modes. Those differences are rarely mentioned in the literature. This paper proposes to compare satellite and GB-InSAR in terms of (1) acquisition characteristics and parameters to consider; (2) SAR image resolution; and (3) geometric distortions that are foreshortening, layover, and shadowing. If in the case of satellite SAR, the range and azimuth resolutions are known and constant along the orbit path, in the case of GB-InSAR their values are terrain-dependent. It is worth estimating the results of a GB-InSAR acquisition that one can expect in terms of range and azimuth resolution, line of sight (LoS) distance, and geometric distortions to select the best installation location when several are possible. We developed a novel tool which estimates those parameters from a digital elevation model (DEM), knowing the GB-InSAR and the slope of interest (SoI) coordinates. This tool, written in MATLAB, was tested on a simple synthetic point cloud representing a cliff with a progressive slope angle to highlight the influence of the SoI geometry on the acquisition characteristics and on two real cases of cliffs located in Switzerland, namely one in the Ticino canton and one in the Vaud canton.
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Authors: Dong Ningpeng , Hao Haoran , Yang Mingxiang , Wei Jianhui , Xu Shiqin , Kunstmann Harald
Published: July 2024

Abstract. Hydrometeorological forecasting is crucial for managing water resources and mitigating the impacts of extreme hydrologic events. At sub-seasonal scales, readily available hydrometeorological forecast products often exhibit large uncertainties and insufficient accuracies to support decision making. We propose a deep learning based modelling framework for sub-seasonal joint precipitation and streamflow forecasts for a lead time of up to 30 days. This is achieved by coupling (1) a convolutional neural network (CNN) architecture with ResNet blocks for statistically downscaling of the ECMWF raw precipitation forecasts to (2) a hybrid hydrologic model integrating the conceptual Xin’anjiang model (XAJ) and the long-short term memory network (LSTM) for streamflow forecasting. The CNN incorporates a specialized loss function that combines the continuous form of threat score and mean absolute error. Applying the modeling framework to the source region of the Yangtze River Basin, results indicate that the CNN-based downscaling model exhibits ~13 % and ~10 % less RMSE than the raw ECMWF forecasts and the quantile mapping (QM) forecasts, respectively, averaged over the 30-day lead time. Similarly, the CNN achieves a ~2 % and ~5 % lower RMSE than raw forecasts and QM for precipitation events above the 90th percentile of historic daily precipitation. Using these precipitation forecasts as meteorological drivers for the hybrid XAJ-LSTM hydrologic model, we found that forecasted streamflow and flood peaks driven by CNN-based precipitation forecasts have 18 %–32 % lower relative errors and 13 %–22 % lower RMSE compared to those driven by raw forecasts. However, the standalone XAJ model shows marginal improvements, or in some cases, no improvement at all, with the same enhanced precipitation forecasts. This highlights the importance of understanding the effectiveness of the hydrologic model as part of the sub-seasonal hydrometeorological modeling chain. Our study is expected to provide implications for leveraging advanced AI techniques to enhance sub-seasonal hydrometeorological forecasting accuracy and operational efficiency for effective water resources management and disaster preparedness.
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Authors: Kuana Louise Akemi , Almeida Arlan Scortegagna , Mercuri Emílio Graciliano Ferreira , Noe Steffen Manfred
Published: July 2024

Abstract. Regionalization methods dependent on hydrological models comprise techniques for transferring calibrated parameters in instrumented watersheds (donor basins) to non-instrumented watersheds (target basins). There is a lack of flow regionalization studies in regions with humid subtropical and hot temperate climates, and one of the main novelties of this research is to assess the regionalization of low flows in Paraná in the south of Brazil. In addition to filling this gap, this research presents innovative artificial-intelligence techniques for transferring parameters from hydrological models. This study aims to evaluate regionalization methods for transferring GR4J parameters and predicting river flow in catchments from the south of Brazil. We created a dataset for the state of Paraná with daily hydrological time series (precipitation, evapotranspiration, and river flow) and watershed physiographic and climatological indices for 126 catchments. Rigorous quality-controlling techniques were applied to recover data from 1979 to 2020. The regionalization methods compared in this study are based on simple spatial proximity, physiographic–climatic similarity, and regression by random forest techniques. Direct regression of Q95 was calculated using random forest techniques and compared with indirect methods, i.e. using regionalization of GR4J parameters. A set of 100 basins was used to train the regionalization models, and another 26 catchments (pseudo-non-instrumented) were used to evaluate and compare the performance of regionalizations. The GR4J model showed acceptable performances for the sample of 126 catchments, with 65 % of watersheds presenting a log-transformed Nash–Sutcliffe coefficient greater than 0.70 during the validation period. According to the evaluation carried out for the sample of 26 basins, regionalization based on physiographic–climatic similarity was shown to be the most robust method for the prediction of daily and Q95 reference flow in basins from the state of Paraná. When increasing the number of donor basins, the method based on spatial proximity has comparable performance to the method based on physiographic–climatic similarity. Based on the physiographic–climatic characteristics of the basins, it was possible to classify six distinct groups of watersheds in Paraná. Each group shows similarities in forest cover, urban area, number of days with more than 150 mm of precipitation, and average duration of consecutive dry days. Although the physiographic–climatic similarity method obtained the best performance, the use of machine learning algorithms to regionalize the model parameters had good performance using climatic and physiographic indices as inputs. This research represents a proof of concept that basins without flow monitoring can have a good approximation of streamflow if physiographic–climatic information is provided.
PERANCANGAN SISTEM KENDALI RUMAH PADA LAMPU DAN KIPAS MENGGUNAKAN TELEGRAM MESSENGER SEBAGAI MIKROKONTROLER
Authors: A. Salauwe Sri Ayu , Gunawan Erwin , Santosa Santosa
Published: July 2024

Perkembangan tecnologi saat ini di era globalisasi selalu berkembang semakin maju, manusia berlomba-lomba menciptakan teknologi terbaru, seperti saat ini. Internet Of Things (iot) merupakan tren dunia masa depan yang perlu dikembangkan. Segala sesuatu dibuat menjadi lebih mudah dan cepat dengan menggunakan internet.
Markovian phase-type single working vacation queue with breakdown and standby server
Authors: Baby Saroja K. , Suvitha V.
Published: July 2024

We consider a single server queuing model with three service types, each with three phases. In which the customers arrive according to a Poisson process and the service time of each customer follows Hyper-Erlang distribution. We analyzed the model with interruptions, such as breakdown, repair and single working vacation. The standby server works whenever the main server under breakdown. Using the matrix geometric method, the steady-state probability vector of the model is examined and finally, some numerical examples are presented.
Dynamical properties of a SIRI epidemic model with relapse and free boundaries
Authors: Zhang Yindi , Zhao Meng
Published: July 2024

In this paper, we study an SIRI epidemic model with relapse and free boundaries, which can describe the spreading process of diseases well. At first, the existence and uniqueness of the global solution is proven. And then we obtain some sufficient conditions for the disease spreading and vanishing. We can find an $\mathcal{R}_0$ such that the disease will vanish for $\mathcal{R}_0\leq1$, otherwise, whether the disease will spread or not is determined by the initial infected region $h_0$ and spreading capacity $\mu$ of the spreading front. Moreover, the longtime behavior of the solution is given. Finally, numerical simulations are provided to illustrate the results of the analysis.
Asymptotic spreading of predator-prey populations in a shifting environment
Authors: Lam King-Yeung , Lee Ray
Published: July 2024

Inspired by a recent study associating shifting temperature conditions with changes in the efficiency with which predators convert prey to offspring, we propose a predator prey model of reaction-diffusion type to analyze the consequence of such effects on the population dynamics and spread of {the predator} species. In the model, the predator conversion efficiency is represented by a spatially heterogeneous function depending on the variable $\xi=x-c_1t$ for some given $c_1>0$. Using the Hamilton-Jacobi approach, we provide explicit formulas for the spreading speed of the predator species. When the conversion function is monotone increasing, the spreading speed is determined in all cases and non-local pulling is possible. When the function is monotone decreasing, we provide formulas for the spreading speed when the rate of shift of the conversion function is sufficiently fast or slow.
Was Kandiaronk in France? Kandiaronk, Adario, and “Indigenous Critique”
Authors: Twiss Robert
Published: July 2024

This paper reviews the evidence for the question of whether or not the Wendat leader Kandiaronk (c. 1649–1701) ever visited France, as claimed in the Dialogues Curieux by the Baron de Lahontan (1703) and recently argued by David Graeber and David Wengrow in The Dawn of Everything (2021). The fact that this voyage almost certainly did not take place confirms that Lahontan’s text is in significant ways a fiction. At the same time, the rhetorical function of the claim that it did take place shows that the text is also engaged in proto-ethnographic reportage. Lahontan’s Dialogues do offer a view of some form of “indigenous critique”; but the latter is only accessible through the literary codes of late-seventeenth-century France.
E-CATALOGUE FOTOGRAFI PAKAIAN PENGANTIN ADAT KOTO GADANG
Authors: Dicicco Givano Kevin
Published: July 2024

Perancangan ini bertujuan merancang sebuah e-catalogue fotografi sebagai media untuk membantu masyarakat memahami bentuk dan kegunaan dari pakaian pengantin adat Koto Gadang, mempermudah komunikasi antara vendor pernikahan dengan calon target audience, dan memperluas penyebaran, serta sebagai arsip digital warisan kebudayaan adat Koto Gadang. Proses perancangan menggunakan metode perancancangan design thinking. Langkah atau langkah perancangan yang digunakan antara lain empathize(berempati), define(mendefinisikan), ideate(ide), prototype (prototip), dan test (pengujian). Metode analisis data yang digunakan yaitu 5W1H (what, who, why, where, when, how). Luaran yang diharapkan dari proses perancangan ini yaitu media digital berupa karya e-catalogue fotografi Pakaian Pengantin Adat Koto Gadang dan sebuah artikel/jurnal ilmiah yang diterbitkan pada jurnal Desain Komunikasi Visual, FBS, Universitas Negeri Padang.
PENDEKATAN LAYANAN ANAK BERKEBUTUHAN KHUSUS DALAM PROSES PEMBELAJARAN DI SEKOLAH DASAR
Authors: Fitrianingrum Rafa , Kartika Elvira , Rizkita Indra , Andriani Opi
Published: July 2024

Pendidikan anak berkebutuhan khusus menjadi sebuah tantangan didalam dunia pendidikan, karena tidak semua sekolah bersedia menerima anak berkebutuhan khusus didalam lingkungan pendidikannya. Penerapan pendidikan berkebutuhan khusus di Indonesia dilakukan dalam 2 bentuk, yaitu segregatif dan mainstream. Para pendidik yang menangani anak berkebutuhan khusus, tidak jarang mengalami tekanan-tekanan secara emosional, sehingga sangat   diperlukan sebuah pendekatan yang mampu membantu para pendidik untuk mengontrol emosinya. Tulisan ini bertujuan untuk menjelaskan Pendekatan Layanan Bagi Anak Berkebutuhan Khusus Dalam Proses Pembelajaran Di Sekolah Dasar dengan menggunakan metode kajian pustaka dengan menganalisis berbagai  literatur yang sesuai dengan topik kajian. Adapun pendekatan layanan pendidikan bagi anak berkebutuhan khusus secara umum ada dua pendekatan yakni : pendekatan kelompok/klasikal dan pendekatan individual.
PROBLEMATIKA PELAKSANAAN PENDIDIKAN INKLUSIF DI SEKOLAH DASAR
Authors: Sari Seli Novia , Hajri Nurhajri , Andriani Opi , Wicaksono Nurzahra Fathiyanabila
Published: July 2024

Dicanangkannya pendidikan inklusi di Indonesia dengan tujuan untuk memfasilitasi kebutuhan pendidikan bagi anak berkebutuhan khusus (ABK) sudah banyak dijalankan di seluruh Indonesia dalam pelaksanannya menemukan banyak kendala-kendala atau permasalahan di sekolah khususnya bagi guru. Penelitian ini bertujuan untuk mengetahui permasalahan- permasalahan yang dialami guru dan sekolah dalam penyelengaraan pendidikan inklusi pada tingkat SD. Subyek penelitian adalah guru yang mengajar di sekolah penyelenggara Pendidikan Inklusi. Data diperoleh melalui open-ended questionnaire (pertanyaan terbuka). Metode yang digunakan adalah kualitatif dengan analisis menggunakan teknik koding. Desain penelitian yang digunakan menggunakan pendekatan indigenous psychology bagian dari tradisi pendekatan ilmiah dimana aspek yang penting dalam pendekatan ini adalah usaha untuk menemukan metode yang sesuai untuk mengungkap fenomena dalam suatu investigasi. Hasil penelitian menunjukkan ada berbagai permasalahan yang ditemui guru terkait kesiapan sekolah itu sendiri seperti kurangnya kompetensi guru dalam menghadapi siswa ABK, permasalahan terkait kurangnya kepedulian orangtua terhadap ABK, selain itu banyaknya siswa ABK dalam satu kelas, dan kurangnya kerjasama dari berbagai pihak seperti masyarakat, ahli professional dan pemerintah.
Meningkatkan Layanan Intervensi Anak Berkebutuhan Khusus Di Sekolah Dasar Negeri 31/II SKB
Authors: Firman Endri , Jati Imam Ikhsanul , Andriani Opi , Prahagia Yelvia
Published: July 2024

Tujuan dari penelitian ini adalah untuk mendeskripsikan cara untuk meningkatkan layanan intervensi pada anak berkebutuhan khusus di Sekolah Dasar Negeri 31/II SKB. Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data meliputi: observasi dan wawancara. Subyek dari penelitian ini adalah guru pembimbing khusus bagi ABK. Hasil penelitian menunjukkan dalam mengembangkan layanan intervensi terdapat beberapa hal yang perlu diperhatikan dan dipertimbangkan yaitu populasi, wilayah, layanan progresif dan fluktuatif, serta dasar teori. Dengan pengembangan program tersebut maka dapat meningkatkan kualitas layanan intervensi anak berkebutuhan khusus di Sekolah Dasar.
Robust power converters for renewable generation systems in future networks with short circuit ratio wide variations
Authors: G. Santamaria Martin  , R.Griñó  , A. Gil de Muro Zabala
Published: July 2024

The European Directive (EU) 2018/2001 requests the connection of a new renewable inverter-based resources (RIR) but ensuring that the connection point is strong enough to minimize and avoid possible interaction phenomena. Historically, the indicator used to determine the strength of a network has been the Short Circuit Ratio (SCR). Until now, the tendency had been to ensure that the network remained strong enough with High SCR, but another possibility is to ensure that RIR can operate stably and reliably at different SCR values, both high and low. The inverters currently deployed in European power systems use grid following inverter technology (GFI). The main objective of the present work is the redesign of the traditional current regulators of JEMA Energy PV family inverters, based on grid following technology, to guarantee the stability of electrical systems with a variable short-circuit ratio in the range [1÷20]. To achieve this, the current loops of the inverter are redesigned, introducing an additional first-order controller that improves the dynamics of the system and allows stable and efficient behaviour. For validation purposes, the system is analysed under adverse fault scenarios. The results obtained in all cases are satisfactory, but the stability with PLL (phase lock loop) slower than those originally used, is better.
Optimal energy concept for decarbonisation of sea-buckthorn processing plants
Authors: M.I. Roldán  , R. Kansara
Published: July 2024

The decarbonisation of the industrial sector is required to achieve the objectives defined within the European Climate and Energy framework, since industry accounts for 37% of the total global energy consumption and for a quarter of global energy system CO2 emissions [1]. In this context, this work aims the decarbonisation of a sea-buckthorn processing plant using structural and operational optimisation for the analysis of proposed energy supply concepts based on the integration of renewable energy sources, energy conversion components and storage systems. Different configurations are evaluated to select the concept that leads to a minimisation of the operating costs and a CO2 emissions reduction of the industrial site with installation costs within the investment range defined and the minimum payback period. Thus, the selected decarbonisation concept is able to achieve a reduction of 25% in operation costs (OPEX) and 31% in CO2 with an investment (CAPEX) of 288.7 T€ and a payback time of 5.8 years. Additionally, the developed methodology can be used for the analysis of decarbonisation concepts for other industrial processes by the integration of an adapted techno- economic definition of the components for each energy concept proposed.
СУМЕН ЖАБДЫҚТАУ ЖҮЙЕСІНІҢ ТЕХНОЛОГИЯЛЫҚ ПРОЦЕСТЕРІН БАСҚАРУ ӘДІСТЕРІ МЕН АЛГОРИТМДЕРІ
Authors: Ускенбаева Гульжан , Қамбарбай Бекзат , Шукирова Алия , Ахметова Жанар , Абдугулова Жанат
Published: July 2024

Мақалада қашықтықтан және қол режимі мүмкіндігімен технологиялық процестің барысы туралы деректерді оператор панелінде көрсете отырып, автоматты режимде сумен жабдықтау жүйесін басқару үшін сумен жабдықтаудың технологиялық процесін басқарудың автоматтандырылған жүйесі көрсетілген. Автоматтандыру объектісі бірінші көтеру сорғы станциясын (суасты сорғылары бар екі артезиан скважинасы), майсыздандыру станциясын, таза судың екі ортақ жинақтаушы резервуарын және кәсіпорынның су құбыры желісіне су беруді қамтамасыз ететін үш сорғыны (сорғы станциясы) қамтитын кәсіпорынның су жинағышы болып табылады (екінші көтеру станциясы). Жүйе тораптарының келісілген жұмыс істеуін, авариялық және штаттан тыс жағдайларды өңдеуді және алдын алуды, ағымдағы параметрлер мен оқиғалар туралы ақпаратты көрсетуді қамтамасыз ететін станция жұмысы алгоритмінің схемасы әзірленді.
РАЗРАБОТКА МАТЕМАТИЧЕСКОЙ МОДЕЛИ РЕАКТОРНО-РЕГЕНЕРАТОРНОГО БЛОКА УСТАНОВКИ КАТАЛИТИЧЕСКОГО КРЕКИНГА
Authors: Боранбаева Наркез , Оразбаев Батыр , Карабаев Жалал , Абдугулова Жанат
Published: July 2024

Данная статья посвящена к разработке математической модели, пригодная для автоматизированного управления процессом каталитического крекинга в условиях неопределенности, вызванной случайного и нечеткого характера исходной, доступной информации. На основе разработанной и других моделей объекта реакторно-регенераторного блока установки каталитического крекинга далее предполагается решению задачи принятия решений по управлению режимами их работы основаны с привлечением лица, принимающего решения и экспертов. Разработанная математическая модель способствует повышению ресурс эффективности установки каталитического крекинга путем определения оптимального режима работы реактора и регенератора установки. Для определения коэффициентов множественной регрессии написан програмный код на языке Python, результаты моделирования визуализированы с помощью програмного обеспечения Power BI.
DETERMINISTIC AND STOCHASTIC COMPONENTS OF TIME SERIES: MODELING OF POWER CONSUMPTION
Authors: Jetmekova Saltanat , Shukirova Aliya
Published: July 2024

The article considers the modeling of power consumption using data consistency. The most significant factors influencing the volume of hourly consumption have been identified and exogenous variables have been studied. To substantiate the optimal statistical characteristics and predictive qualities of the model, the main component of the series, the nature of its stationarity, specification, parameterization and verification and approbation of models are determined; testing of fictitious variables in order to improve their qualities.
WEATHER PREDICTION WITH ARTIFICIAL INTELLIGENCE IN METEOROLOGY
Authors: Mukashev Daniyar , Abitova Gulnara , Uskenbayeva Gulzhan , Shaikhanova Aigul
Published: July 2024

This paper explores the transformative impact of Artificial Intelligence (AI) in the field of meteorology, particularly in weather forecasting. The study begins with a historical overview of weather prediction methods, highlighting the evolution from traditional models to advanced AI-driven systems. It then delves into the integration of machine learning and deep learning techniques in meteorological data analysis, emphasizing how these technologies have significantly enhanced the accuracy and efficiency of weather predictions. Key aspects covered include the application of neural networks technology in interpreting complex atmospheric data, the role of big data in providing comprehensive training sets for AI models, and the utilization of predictive analytics for short-term and long-term weather forecasts. The work also examines practical case studies where AI technology has been successfully implemented in weather forecasting, demonstrating its capability in handling extreme weather events and climate anomalies. Furthermore, the study addresses the challenges and limitations faced in the integration of AI in meteorology, such as data quality concerns, computational requirements, and the need for specialized expertise. It proposes potential solutions and future directions for research in this domain, suggesting a multidisciplinary approach involving meteorologists, data scientists, and AI experts. The conclusion underscores the revolutionary impact of AI in meteorology, projecting how continuous advancements in AI technology could redefine the proposed approach to understanding and predicting weather patterns. This paper not only highlights the current state of AI in weather forecasting but also sets the stage for future innovations in the rapidly evolving field.
ИССЛЕДОВАНИЕ УСТОЙЧИВОСТИ ЧАСТОТНО-ТОКОВОЙ СИНХРОННОЙ СИСТЕМЫ ПРИВОДА В СРЕДЕ MATLAB
Authors: Цыба Юрий , Алмуратова Нургуль , Кузьмин Юрий
Published: July 2024

В статье приводится структурная схема замкнутой частотно – токовой   системы с векторным управлением в программируемом комплексе Matlab и структурная схема с заменой звена насыщения. Дается математическое описание системы в символьном виде и приводится программа определения устойчивости частотно – токовой асинхронной системы. Программа  определения устойчивости системы представлена  на алгоритмическом языке  Matlab. Дается график переходного процессов скорости асинхронного двигателя в среде Matlab–Simulink.
ҚАТТЫ ДИЭЛЕКТРЛІК МАТЕРИАЛДАРҒА ЭЛЕКТРЛІК ЖАРЫЛЫС ӘСЕРІНІҢ ЭНЕРГЕТИКАЛЫҚ ЖӘНЕ СОҚҚЫ-ТОЛҚЫНДЫҚ ПАРАМЕТРЛЕРІ
Authors: Сарсикеев Ермек , Кузнецова Наталья , Дунаев Павел , Наурыз Каныш , Калиев Жаныбек
Published: July 2024

Импульстік генератордың разряд контурының жұмысын сипаттайтын, тесіп өту арнасы плазмасының кеңеюін, диэлектрик материалдардағы соққы – толқындық әсерлердің генерациясын және таралуын дәйекті түрде сипаттайтын қатты диэлектрлік материалдардағы электрлік жарылыстың физикалық-математикалық моделін пайдалану қарастырылады. Атап айтсақ, разряд контурының параметрлеріне байланысты материалдың бұзылу кескінін болжау үшін электрлік жарылыс әсері кезіндегі энергетикалық сипаттамалары мен соққы - толқындық ұйытқуына талдау жүргізіледі. Төзімді материалдардың электрлік жарылысқа байланысты бұзылуына қатысты разряд контурының параметрлері мен соққы толқынның энергетикалық сипаттамалары арасындағы байланыс талданады. Зерттеулер Қазақстан Республикасы Ғылым және Жоғары Білім Министрлігі, Ғылым Комитетінің қаржыландырылуымен (АР09058149 гранты. Темір-бетон бұйымдары мен қатты қалдықтардың электр разрядты бұзылуын оларды өңдеу мен кәдеге жаратудың мобильді кешенін әзірлеу үшін зерттеу) С.Сейфуллин атындағы Қазақ агротехникалық зерттеу университетінде жүргізілді. Жұмыс нәтижелері «Ш» типті темірбетон шпалдарын қайта өңдеуге арналған қондырғыларды құру үшін пайдаланылуы мүмкін.
ТЕМІР ЖОЛДАҒЫ АПАТТЫ ЖАҒДАЙЛАРҒА ДЕН ҚОЮ ҮШІН КОМПЬЮТЕРЛІК ҚОЛДАУ КӨРСЕТУ
Authors: Ахметов Бахытжан , Лахно Валерий , Шалабаева Майра
Published: July 2024

Мақалада темір жолдағы апаттық жағдайлары (ТЖ АЖ) туындаған кезде жедел штабтың басшысы мұндай жағдайдың компоненттері арасындағы себеп-салдарлық байланыстар туралы толық және жеткілікті ақпараттың болмауының күрделі жағдайларында бағынысты басқару пункттері мен жою бөлімшелерін келісуге, үйлестіруге және басқаруға бағытталған жеке, алқалық, ақпараттық, ұйымдастырушылық, жедел шешімдердің белгілі бір санын қабылдауы қажет екені анықталатындығы, олар мұндай шешімдер қабылдау және/немесе олардың негізділігіне әсер ету мүмкіндігі арттыруы мүмкіндігі айтылады. Қауіпті жүктермен (ҚЖ) ТЖ АЖ-ны оқшаулау және олардың салдарын жою бойынша негізделген басқару шешімдерін қабылдау шешім қабылдауды қолдау жүйелері (ШҚҚЖ) көмегімен жүзеге асырылуы тиіс, оларды құру үшін осындай жағдайлардың дамуын болжаудың ұсынылған математикалық модельдерін және жедел штаб басшылары іс-қимылдарының құрылымдық-логикалық сызбаларын қолдану қажет.
Enseñar Tenis a Niños Sordos: Revisión de un Programa Basado en Australia
Authors: Young Janet Anne , Browne Anne
Published: July 2024

Este artículo comenta un programa de entrenamiento llevado a cabo con un grupo de niños sordos australianos. Describe el programa y se destacan las implicancias prácticas para los entrenadores. El artículo concluye que los principios fundamentales para entrenar con éxito a los niños sordos - a través de planificación, preparación, comunicación efectiva, diversión, habilidad de adaptación y preocupación por todas las habilidades, paciencia y empatía- coinciden con los principios generales de entrenamiento.
HEALTH EDUCATION TRIAGE UNTUK MENINGKATKAN PENGETAHUAN PASIEN DAN KELUARGA PASIEN
Authors: Alkhusari  , Eka Rora Suci Wisudawati  , Indra Frana Jaya KK  , Dani Prasetyo
Published: July 2024

Pelayanan di Instalasi Gawat Darurat mengacu pada konsep triase dimana pasien akan dilayani berdasarkan tingkat kegawat daruratannya. Triase adalah proses memilah pasien yang datang ke IGD dengan cepat untuk menentukan pasien yang perlu diobati segera dan pasien yang dapat menunggu. Tujuan Pengabdian Kepada Masyarakat ini untuk memberikan pendidikan kesehatan kepada pasien dan keluarga pasien tentang pelaksaan triase di Intalasi Gawat Darurat. Metode yang digunakan dengan memeberikan penjelasan menggunakan leaflet tentang pelaksaan triase. Hasil PKM menjelaskan bahwa pengetahuan keluarga pemberian health education sebagian besar masih ada belum mengerti tentang pelaksaan triase karena keterbatasan pengetahuan dan keluarga bukan dari kesehatan. Keluarga pasien ada yang mengatakan mengerti tentang triase (40%) dan ada juga belum paham (60%). PKM ini diharapakan pelaksaan triase memiliki manfaat yang baik untuk pasien dan keluarga yang di IGD karena dapat membantu pemahaman tentang pelaksaan di IGD. Upaya peningkatan pemahaman dan pengetahuan keluarga pasien terkait pelaksanaan trase dapat mengubah pengetahuan keluarga pasien terhadap prosedur tindakan yang diberikan oleh tenaga kesehatan
EDUKASI PEMANFAATAN KALENDER PENGASUHAN 1000 HPK KEHAMILAN
Authors: Elvina Indah Syafriani  , Anur Rohmin  , Siti Amallia  , Yessy Octa Fristika  , Satra Yunola
Published: July 2024

Masa 1000 Hari Pertama Kehidupan (HPK) atau golden age adalah masa yang dimulai sejak di dalam kandungan atau 0 hari hingga anak berusia 2 tahun. Masa ini adalah masa terpenting untuk memenuhi kecukupan gizi anak, jika kecukupan gizi tidak terpenuhi, dapat menyebabkan terjadinya stunting. Hal ini mengakibatkan gangguan kecerdasan, dapat berdampak pada sumber daya manusia yang akan datang serta meningkatnya risiko penyakit tidak menular saat dewasa. Karena itu masa depan (bahkan bangsa) bisa ditentukan oleh kualitas nutrisi pada 1000 HPK. Salah satu faktor yang berpengaruh dari masalah tersebut karena kurangnya pengetahuan para orangtua dan anggota keluarga tentang status gizi wanita pada masa pra kehamilan, masa kehamilan dan setelah melahirkan serta gizi pada anak sampai dengan usia 2 tahun. Tujuan kegiatan ini adalah untuk meningkatkan pengetahuan ibu hamil dan keluarga sebagai upaya pencegahan yang dapat dilakukan pada 1.000 HPK melalui pemanfaatan kalender pengasuhan 1000 HPK. Hasil dari kegiatan ini terdapat peningkatan pemahaman pengetahuan ibu hamil dan keluarga akan pemanfaatan kalender 1000 HPK kehamilan. Melalui pemanfaatan kalender tersebut sebagai media promosi dan KIE diharapkan dapat meningkatkan kemampuan dan keterampilan orang tua dalam melaksanakan pengasuhan yang baik dan benar pada 1000 HPK agar anak dapat tumbuh dan berkembang dengan optimal.
Comparative evaluation of the effectiveness of gastric bypass and invaginational cardioplasty in patients with Gastroesophageal Reflux Disease after sleeve gastrectomy
Authors: Kim D. A. , Anisсhenko V. V. , Tszin A. O. , Kozlov A. V. , Nasonova E. N.
Published: July 2024

The aim of the study: comparing the effectiveness of Gastric Bypass and invaginational cardioplasty in patients after sleeve gastrectomy.

Material and methods. Prospective clinical research including an analysis of the surgical treatment of the 40 patients diagnosed with Gastroesophageal Reflux Disease (GERD) after sleeve gastrectomy. A clinical and instrumental analysis and a GERD-HRQL questionnaire were conducted, evaluation of the effectiveness and safety of Gastric Bypass and invaginational cardioplasty.

Results. During the observation of patients for 12 months, invaginational cardioplasty showed good tolerability, safety, and effectiveness in the treatment of GERD in comparison with gastric bypass surgery, which is confirmed by the results of the GERD-HRQL questionnaire, a reduced symptoms and an improvement in the endoscopic picture of the esophageal-gastric junction, as well as the results of gastric roentgenoscopy.

Conclusion. The study showed a relatively high efficiency of invaginational cardioplasty in the treatment of gastroesophageal reflux disease in patients after sleeve gastrectomy, in comparison with gastric bypass surgery, in the early and long-term follow-up period.