bluuebunny/crossref_metadata_2025 huggingface dataset:
LITERATURE REVIEW : ANALISIS IMPLEMENTASI KEBIJAKAN PENURUNAN STUNTING DI WILAYAH PESISIR MEDAN BELAWAN
Authors: HENDRA NADIA HENDRA PRATAMA
Published: August 2023

Stunting menjadi masalah dunia karena implikasinya menentukan masa dengan bangsa.Stunting adalah masalah kekurangan gizi penyakit kronis yang disebabkan oleh asupan nutrisi yang tidak memadai dalam waktu yang lama pemberian makanan yang tidak sesuai dengan kebutuhan gizi.Dapat terjadinya stunting mulai janin masih berada dalam kandungan dan akan kelihatan saat anak berusia dua tahun (Kementerian Kesehatan Republik Indonesia, 2016).Metode yang digunakan adalah studi literatur dari berbagai jurnal internasional maupun nasional, metode ini dibuat untuk merangkum kondisi pemahaman terkini mengenai suatu topik.Berdasarakan hasil wawancara dengan para informan diperoleh keterangan bahwa standar dalam menjalankan kebijakan percepatan penurunan stunting, pemerintah sudah memiliki standar yakni dengan adanya Peraturan Medan Belawan Tahun 2020 Tentang Percepatan Penurunan Stunting sesuai dengan amanat Peraturan Presiden RI No. 42 tahun 2013 tentang Gerakan Nasional Percepatan Perbaikan Gizi yang sekarang digantika nmenjadi Peraturan Presiden Republik Indonesia Nomor 72 Tahun 2021 Tentang Percepatan Penurunan Stunting.
Gambaran Fasilitas Sanitasi Di Sekolah Dasar Negeri 101957 Desa Besar 2 Terjun Serdang Bedagai
Authors: Yani Asnita
Published: August 2023

Satu dari lima satuan pendidikan atau sama dengan 82,575 satuan pendidikan di Indonesia tidak memiliki sarana air yang layak atau setara dengan 10 juta anak Indonesia yang tidak memiliki akses sarana air bersih di satuan pendidikan mereka yang mana satuan pendidikan ini terdapat di wilayah . Tujuan penelitian ini untuk mengetahui gambaran fasilitas sanitasi air bersih, fasilitas toilet yang layak, sarana saluran pembuangan air limbah, dan sarana pembuangan sampah. Penelitian bersifat deskriptif dengan metode observasi. Hasil penelitian didapati bahwa fasilitas air bersih hanya 33,33% yang memenuhi persyaratan, fasilitas toilet  sebagian besar memenuhi persyaratan (50%), sarana pembuangan air limbah (SPAL) secara keseluruhan tidak memenuhi persyaratan fasilitas sanitasi sekolah, (20%) yang memenuhi persyaratan, sarana pembuangan sampah telah memenuhi persyaratan (66,7%). Secara keseluruhan fasilitas sanitasi pada Sekolah Dasar Negeri 101957 masih sangat kurang, masih banyak dibutuhkan peningkatan jumlah sarana dan perbaikan dari sarana yang telah ada guna menjamin pencegahan penyakit dan kenyaman proses belajar mengajar di sekolah.
Nilai Moral dalam Film “Orang Kaya Baru”
Authors: Nuraeni Siti , Eldina Wina , Nurlailiyana Zihan Auliyah
Published: August 2023

The purpose of this study is to describe the moral values in the film “Orang Kaya Baru” with a sociology of literature approach. The method used in this research is descriptive qualitative using observation and note-taking techniques. Based on the results of this study, there are seven moral values including the moral value of helping each other, the moral value of being grateful, the moral value of sincerity, the moral value of being honest, the moral value of being responsible, the moral values of patience, and hard work. This research is expected to lead to the development of better research that can be applied in everyday life. This research has relevance related to short story material that contains moral values in learning Indonesian at KD 4.8, namely demonstrating one of the values of life learned in short stories for high school students in class XI odd semester.Tujuan penelitian ini untuk mendeskripsikan nilai moral dalam film “Orang Kaya Baru” dengan pendekatan sosiologi sastra. Metode yang  digunakan dalam penelitian ini, yaitu deskriptif kualitatif dengan menggunakan teknik simak dan catat. Berdasarkan hasil penelitian ini, terdapat tujuh nilai moral di antaranya nilai moral tolong menolong, nilai moral bersyukur, nilai moral ikhlas, nilai moral jujur, nilai moral bertanggung jawab, nilai moral sabar, dan kerja keras. Penelitian ini diharapkan dapat mengarah pada pengembangan penelitian yang lebih baik yang dapat diterapkan dalam kehidupan sehari-hari. Penelitian ini memiliki relevansi terkait materi cerpen yang mengandung nilai moral dalam pembelajaran bahasa Indonesia pada KD 4.8, yaitu mendemonstrasikan salah satu nilai kehidupan yang dipelajari dalam cerita pendek untuk siswa SMA kelas XI semester ganjil.
Karakter Tokoh Utama Film Animasi “Turning Red” Karya Domee Shi
Authors: Azizah Siti Nur , Pramadanti Choeriah
Published: August 2023

The purpose of this research is to describe the main character in the animated film "Turning Red" which will be released by Pixar Animation Studios and Walt Disney Pictures in 2022. This research is descriptive qualitative research. The data in this study is in the form of dialogue with the main character based on a literary psychology approach. Data collection is done by documentation techniques. Triangulation of sources, techniques, and theory is very important to ensure the validity of this research. The results showed: 1) Mei Lee showed all three personality structures, with 7 data of Id, 4 data of Ego, and 1 data of Superego, 2) The Id aspect dominates Mei Lee in living her life to take every action and decide something.Tujuan penelitian ini adalah untuk mendeskripsikan karakter utama dalam film animasi “Turning Red” yang dirilis oleh Pixar Animation Studios dan Walt Disney Pictures pada tahun 2022. Penelitian ini merupakan penelitian kualitatif deskriptif. Adapun data dalam penelitian ini berupa dialog pada tokoh utama berdasarkan pendekatan psikologi sastra. Pengumpulan data dilakukan dengan teknik dokumentasi. Triangulasi sumber, teknik, dan teori sangat penting untuk memastikan validitas penelitian ini. Hasil penelitian menunjukkan: 1) Mei Lee menunjukkan ketiga struktur kepribadian, dengan Id sebanyak 7 data, Ego sebanyak 4 data, dan Superego sebanyak 1 data, 2) Aspek Id mendominasi Mei Lee dalam menjalani kehidupannya untuk melakukan setiap tindakan dan memutuskan sesuatu.
Nature of Drug and Substance Abuse in Kilifi and Mombasa Counties of Coastal Kenya
Authors: Sospeter Nelson Marwa , Iteyo Crispinous
Published: August 2023

Drug and substance abuse has become one of the looming human-induced disasters globally, making it a profound concern among the comity of nations owing to the significant detrimental effects it has in almost every aspect of life and development. In Kenya, it has become one of the major social catastrophes with the commonest and most easily identifiable manifest in public health. Specific objective of the study was to examine the nature of drug and substance abuse in selected counties in the coastal region, Kenya. The study was guided by the social learning theory and functionalism theory. The study was further underpinned by the interpretivism approach. The study used descriptive and evaluative research designs, with data collected through interviews and focus group discussions. The study was conducted in Kilifi and Mombasa Counties.  Data was collected from 552 respondents, who included 384 household heads, 20 victims, 2 county education officers, 2 county commissioners, 2 county health officers, 70 administrative chiefs, 102 village elders, 9 head of NACADA officers, and 8 religious leaders. The study revealed that drug abuse is a significant problem affecting individuals of all ages and socio-economic backgrounds. Commonly abused substances include alcohol 99% (383), khat 98% (378), tobacco 97% (376), cannabis 94% (364), heroin 89% (341), cocaine 88% (337), prescription drugs 85% (326), and methamphetamine 80% (307). Both males 75% (289) and 25% (95) females engage in drugs and substance abuse. The main causes of the menace are unemployment 99% (380), poverty 98% (376), mental illnesses 97% (373) and curiosity and experimentation 96% (370). The study recommends strict border control, adequate provision of adequate security personnel at the border posts, and adoption of new technologies to aid in surveillance and monitoring and tracking of the smugglers.
A UTILIZAÇÃO DE APLICATIVOS E FERRAMENTAS TECNOLÓGICAS EM SALAS DE AULA DO NOVO ENSINO MÉDIO
Authors: Paiva Arnon Antonio Pereira de
Published: August 2023

Este artigo discute a utilização de aplicativos e ferramentas tecnológicas no contexto do novo ensino médio. Com as transformações no campo da educação e o avanço da tecnologia, tornou-se cada vez mais relevante explorar o potencial dessas ferramentas para enriquecer a experiência educacional dos alunos. O artigo apresenta uma análise das principais tendências e benefícios da integração de aplicativos e tecnologias em sala de aula, ao mesmo tempo que discute os desafios e preocupações relacionados a essa abordagem. Por fim, são oferecidas recomendações práticas para professores e gestores educacionais interessados em utilizar essas ferramentas de maneira eficaz no ensino médio.Neste artigo apresentamos alguns resultados de uma pesquisa cujo objetivo foi o de investigar processos de integração de tecnologias digitais ao currículo escolar, identificando desafios e dificuldades que emergem de práticas pedagógicas em processos de integração. As questões que nortearam o desenvolvimento da pesquisa foram: como tecnologias digitais podem ser integradas ao currículo escolar com vistas a inovar práticas pedagógicas e o currículo? Que desafios e dificuldades emergem de práticas pedagógicas em processos de integração de tecnologias digitais ao currículo escolar? Que ações de formação de professores podem contribuir com processos de integração de tecnologias digitais ao currículo escolar? Para o desenvolvimento da pesquisa, foram realizados estudos sobre integração de tecnologias digitais ao currículo escolar e formação de professores para uso de tecnologias digitais, articulados ao desenvolvimento de ações em escolas. Neste artigo iremos dialogar sobre processos iniciais de integração de tecnologia digital ao currículo investigados em uma escola pública: um processo foi iniciado em parceria com professores do Ensino Médio da Escola Osvaldo Nascimento, e um terceiro processo foi desenvolvido em uma disciplina de matemática, na mesma escola. Os processos se caracterizam como inovadores, mas ficou evidente a necessidade de ações contínuas de formação de professores e investimento em infraestrutura tecnológica nas escolas para intensificar processos de integração na escola investigada.
ABORDAGENS EMERGENTES NA PSIQUIATRIA: EXPLORANDO NOVAS PERSPECTIVAS DE DIAGNÓSTICO E TRATAMENTO
Authors: Santos Eduardo Vinícius Ramos dos , Silva Anna Beatriz Alcântara de Azevêdo , Piccini Amanda Paschoal , Vilhena Laura Pazianoto de , Brígido João Victor Costa Barreto , Melo Renner Pereira da Silva , Souza Thales Messias Garcia de , D`Umbra Isabela Cristina , Silva Carolina Caliman , Marques Gabriela Ludmyla Pereira
Published: August 2023

O campo da psiquiatria está passando por uma transformação significativa à medida que abordagens emergentes estão sendo exploradas para aprimorar o diagnóstico e tratamento dos transtornos mentais. Este artigo explora as principais tendências e inovações que estão moldando essa evolução, oferecendo um olhar abrangente sobre as novas perspectivas que estão surgindo.A personalização do diagnóstico e tratamento se destaca como uma abordagem promissora, reconhecendo a singularidade de cada indivíduo e adaptando as intervenções de saúde mental de acordo com suas características específicas. Esse enfoque vai além das categorias diagnósticas tradicionais, permitindo uma compreensão mais completa e precisa do quadro clínico de cada paciente.A integração de abordagens biopsicossociais é outra frente emergente na psiquiatria, reconhecendo a interação complexa entre fatores biológicos, psicológicos e sociais que influenciam a saúde mental. Essa abordagem holística amplia a compreensão das condições mentais, levando a intervenções mais abrangentes e eficazes.A exploração de novas terapias e intervenções oferece um leque diversificado de opções para melhorar a saúde mental. Desde terapias baseadas em mindfulness até o uso inovador de tecnologias como realidade virtual e neurofeedback, os pacientes têm acesso a uma gama mais ampla de tratamentos personalizados e eficazes.Além disso, as conexões entre transtornos mentais estão sendo reconhecidas como uma peça fundamental no quebra-cabeça da saúde mental. A compreensão das sobreposições e padrões entre diferentes condições permite uma abordagem mais integrada e eficaz no diagnóstico e tratamento.No entanto, a incorporação de tecnologias emergentes na psiquiatria também traz desafios éticos, como a privacidade dos dados, o viés algorítmico e a preservação da relação terapêutica. É crucial abordar essas questões com responsabilidade e garantir que as inovações sejam implementadas de maneira ética e equitativa.Em última análise, a evolução das abordagens emergentes na psiquiatria oferece um panorama emocionante e promissor para o futuro do cuidado mental. A combinação de abordagens personalizadas, terapias inovadoras e tecnologias avançadas tem o potencial de transformar positivamente a vida daqueles que enfrentam transtornos mentais, proporcionando uma abordagem mais eficaz, compassiva e centrada no paciente.
ANALISIS KUALITAS PRODUK PENYAMAKAN KULIT DENGAN METODE SQC dan FMEA
Authors: Saputra Anang Dwi Saputra , Andung Jati Nugroho
Published: August 2023

PT Adi Satria Abadi is a company engaged in tanning. The problem faced by the company is the presence of defective leather during the goat and sheep tanning production process. From these problems, the purpose of this study was to identify the level of product defects, analyze the factors that cause defects, and make recommendations for improvements to improve the quality of goat and sheep tanning products. Data processing in this study uses the SQC (Statistical Quality Control) and FMEA (Failure Mode and Effect Analysis) methods. Based on the identification results, it was found that there were 1,507 holes for holes, 1,066 for thick defects, 1,061 for louse defects, and 1,086 for size defects. The results of the SQC analysis still have uncontrolled data based on the control chart which is on size defects with a total of 1,086 defects, while for hollow defects, too thick defects, and tick defects are under control. The results of the FMEA analysis show that the order of completion with the first priority is spotting bugs with an RPN value of 36. The suggested improvements to the company are by directly selecting raw materials and supervising employees.

 

Keywords: Quality, Product Defects, Seven Tools, SQC, FMEA.
A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases
Authors: Balasus Nicholas , Jacob Daniel J. , Lorente Alba , Maasakkers Joannes D. , Parker Robert J. , Boesch Hartmut , Chen Zichong , Kelp Makoto M. , Nesser Hannah , Varon Daniel J.
Published: August 2023

Abstract. Satellite observations of dry-column methane mixing
ratios (XCH4) from shortwave infrared (SWIR) solar backscatter
radiation provide a powerful resource to quantify methane emissions in
service of climate action. The TROPOspheric Monitoring Instrument (TROPOMI), launched in October 2017,
provides global daily coverage at a 5.5 × 7 km2 (nadir) pixel
resolution, but its methane retrievals can suffer from biases associated with
SWIR surface albedo, scattering from aerosols and cirrus clouds, and
across-track variability (striping). The Greenhouse gases Observing SATellite (GOSAT) instrument, launched in 2009,
has better spectral characteristics and its methane retrieval is much less
subject to biases, but its data density is 250 times sparser than TROPOMI.
Here, we present a blended TROPOMI+GOSAT methane product obtained by
training a machine learning (ML) model to predict the difference between
TROPOMI and GOSAT co-located measurements, using only predictor variables
included in the TROPOMI retrieval, and then applying the correction to the
complete TROPOMI record from April 2018 to present. We find that the largest corrections are associated with coarse aerosol particles, high SWIR surface
albedo, and across-track pixel index. Our blended product corrects a
systematic difference between TROPOMI and GOSAT over water, and it features
corrections exceeding 10 ppb over arid land, persistently cloudy regions,
and high northern latitudes. It reduces the TROPOMI spatially variable bias
over land (referenced to GOSAT data) from 14.3 to 10.4 ppb at a
0.25∘ × 0.3125∘ resolution. Validation
with Total Carbon Column Observing Network (TCCON) ground-based column measurements shows reductions in variable
bias compared with the original TROPOMI data from 4.7 to 4.4 ppb and in
single-retrieval precision from 14.5 to 11.9 ppb. TCCON data are all in
locations with a SWIR surface albedo below 0.4 (where TROPOMI biases tend to be
relatively low), but they confirm the dependence of TROPOMI biases on SWIR
surface albedo and coarse aerosol particles, as well as the reduction of
these biases in the blended product. Fine-scale inspection of the Arabian
Peninsula shows that a number of hotspots in the original TROPOMI data are
removed as artifacts in the blended product. The blended product also
corrects striping and aerosol/cloud biases in single-orbit TROPOMI data,
enabling better detection and quantification of ultra-emitters. Residual
coastal biases can be removed by applying additional filters. The ML method
presented here can be applied more generally to validate and correct data
from any new satellite instrument by reference to a more established
instrument.
Alkalinity generation from carbonate weathering in a silicate-dominated headwater catchment at Iskorasfjellet, northern Norway
Authors: Lehmann Nele , Lantuit Hugues , Böttcher Michael Ernst , Hartmann Jens , Eulenburg Antje , Thomas Helmuth
Published: August 2023

Abstract. The weathering rate of carbonate minerals is several
orders of magnitude higher than for silicate minerals. Therefore, small
amounts of carbonate minerals have the potential to control the dissolved
weathering loads in silicate-dominated catchments. Both weathering processes
produce alkalinity under the consumption of CO2. Given that only
alkalinity generation from silicate weathering is thought to be a long-term
sink for CO2, a misattributed weathering source could lead to incorrect
conclusions about long- and short-term CO2 fixation. In this study, we
aimed to identify the weathering sources responsible for alkalinity
generation and CO2 fixation across watershed scales in a degrading
permafrost landscape in northern Norway, 68.7–70.5∘ N, and on
a temporal scale, in a subarctic headwater catchment on the mountainside of
Iskorasfjellet, characterized by sporadic permafrost and underlain mainly by
silicates as the alkalinity-bearing lithology. By analyzing total alkalinity
(AT) and dissolved inorganic carbon (DIC) concentrations, as well as the
stable isotope signature of the latter (δ13C-DIC), in
conjunction with dissolved cation and anion loads, we found that AT was
almost entirely derived from weathering of the sparse carbonate minerals. We
propose that in the headwater catchment the riparian zone is a hotspot area
of AT generation and release due to its enhanced hydrological connectivity
and that the weathering load contribution from the uphill catchment is
limited by insufficient contact time of weathering agents and weatherable
materials. By using stable water isotopes, it was possible to explain
temporal variations in AT concentrations following a precipitation event due
to surface runoff. In addition to carbonic acid, sulfuric acid, probably
originating from oxidation of pyrite or reduced sulfur in wetlands or from
acid deposition, is shown to be a potential corrosive reactant. An increased
proportion of sulfuric acid as a potential weathering agent may have
resulted in a decrease in AT. Therefore, carbonate weathering in the studied
area should be considered not only as a short-term CO2 sink but also
as a potential CO2 source. Finally, we found that AT increased with
decreasing permafrost probability, and attributed this relation to an
increased water storage capacity associated with increasing contact of
weathering agent and rock surfaces and enhanced microbial activity. As both
soil respiration and permafrost thaw are expected to increase with climate
change, increasing the availability of weathering agents in the form of
CO2 and water storage capacity, respectively, we suggest that future
weathering rates and alkalinity generation will increase concomitantly in
the study area.
Modeling boreal forest’s mineral soil and peat C stock dynamics with Yasso07 model coupled with updated moisture modifier
Authors: Ťupek Boris , Lehtonen Aleksi , Yurova Alla , Abramoff Rose , Manzoni Stefano , Guenet Bertrand , Bruni Elisa , Launiainen Samuli , Peltoniemi Mikko , Hashimoto Shoji , Tian Xianglin , Heikkinen Juha , Minkkinen Kari , Mäkipää Raisa
Published: August 2023

Abstract. As soil microbial respiration is the major component of land CO2 emissions, differences in the functional dependence of respiration on soil moisture among the Earth system models (ESM) contributes significantly to the uncertainties in their projections. Using soil organic C (SOC) stocks and CO2 data from a boreal forest – mire ecotone in Finland and Bayesian data assimilation, we revised the precipitation-based environmental function of the Yasso07 soil carbon model. We fit this function to the observed microbial respiration response to moisture and compared its performance against the original Yasso07 model and the version used in the JSBACH land surface model with a reduction constant for decomposition rates in wetlands. The Yasso07 soil C model coupled with the calibrated unimodal moisture function with an optimum in dry soils accurately reconstructed observed SOC stocks and soil CO2 emissions and clearly outperformed previous model versions on paludified organo-mineral soils in forested peatlands and water-saturated organic soils in mires. The best estimate of the posterior moisture response of decomposition used both measurements of SOC stocks and CO2 data from the full range of moisture conditions (from dry/xeric to wet/water-saturated soils). We observed unbiased residuals of SOC and CO2 data modelled with the moisture optimum in well-drained soils, suggesting that this modified function accounts more precisely for the long-term SOC change dependency according to ecosystem properties as well as the contribution of short term CO2 responses including extreme events. The optimum moisture for decomposition in boreal forests was in dry well-drained soils instead of the mid-range between dry and water-saturated conditions as is commonly assumed among many soil C and ESM models. Although the unimodal moisture modifier with an optimum in well-drained soils implicitly incorporates robust biogeochemical mechanisms of SOC accumulation and CO2 emissions, it needs further evaluation with large scale data to determine if its use in land surface models will decrease the uncertainty of projections.
The probabilistic nature of dune collisions in 2D
Authors: Jarvis Paul A. , Narteau Clement , Rozier Olivier , Vriend Nathalie M.
Published: August 2023

Abstract. Dunes are bedforms of different size and shape, appearing throughout aeolian, subaqueous and extraterrestrial environments. Collisions between dunes drive dune field evolution, and are a direct result of interacting dunes of different heights, travelling at different speeds. We perform 2D cellular automaton simulations of collisions between dune pairs migrating in a steady flow. Modelled collisions can result in either ejection, where dunes exchange mass before separating, or downstream- or upstream-dominant coalescence (merging of dunes). For each of these three elementary types of interaction, we identify the mass exchange mechanism and the distinctive intermediate morphologies. Surprisingly, we show that the collision outcome depends probabilistically on the initial dune area ratio r and can be described by a narrow sigmoidal function centred on r=1/2. Finally, we compare our simulations with laboratory experiments of dune collisions, finding good agreement concerning the intermediate morphology and the collision outcome. Our results can motivate further observational or experimental studies that validate our probabilistic collision predictions and fully determine the controls on the coalescence–ejection transition.
Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll
Authors: Jönsson Bror F. , Follett Christopher L. , Bien Jacob , Dutkiewicz Stephanie , Hyun Sangwon , Kulk Gemma , Forget Gael L. , Müller Christian , Racault Marie-Fanny , Hill Christopher N. , Jackson Thomas , Sathyendranath Shubha
Published: August 2023

Abstract. Global biogeochemical ocean models are invaluable tools to examine how physical, chemical, and biological processes interact in the ocean. Satellite-derived ocean color properties, on the other hand, provide observations of the surface ocean, with unprecedented coverage and resolution. Advances in our understanding of marine ecosystems and biogeochemistry are strengthened by the combined use of these resources, together with sparse in situ data. Recent modeling advances allow the simulation of the spectral properties of phytoplankton and remote sensing reflectances, bringing model outputs closer to the kind of data that ocean color satellites can provide. However, comparisons between model outputs and analogous satellite products (e.g., chlorophyll a) remain problematic. Most evaluations are based on point-by-point comparisons in space and time, where spuriously large errors can occur from small spatial and temporal mismatches, whereas global statistics provide no information on how well a model resolves processes at regional scales. Here, we employ a unique suite of methodologies, the Probability Density Functions to Evaluate Models (PDFEM), which generate a robust comparison of these resources. The probability density functions of physical and biological properties of Longhurst's provinces are compared to evaluate how well a model resolves related processes. Differences in the distributions of chlorophyll a concentration (mg m−3) provide information on matches and mismatches between models and observations. In particular, mismatches help isolate regional sources of discrepancy, which can lead to improving both simulations and satellite algorithms. Furthermore, the use of radiative transfer in the model to mimic remotely sensed products facilitates model–observation comparisons of optical properties of the ocean.
IceTFT v1.0.0: interpretable long-term prediction of Arctic sea ice extent with deep learning
Authors: Mu Bin , Luo Xiaodan , Yuan Shijin , Liang Xi
Published: August 2023

Abstract. Due to global warming, the Arctic sea ice extent (SIE) is rapidly decreasing each year. According to the Intergovernmental Panel on Climate Change (IPCC) climate model projections, the summer Arctic will be nearly sea-ice-free in the 2050s of the 21st century, which will have a great impact on global climate change. As a result, accurate predictions of Arctic sea ice are of significant interest. In most current studies, the majority of deep-learning-based SIE prediction models focus on one-step prediction, and they not only have short lead times but also limited prediction skill. Moreover, these models often lack interpretability. In this study, we construct the Ice temporal fusion transformer (IceTFT) model, which mainly consists of the variable selection network (VSN), the long short-term memory (LSTM) encoder, and a multi-headed attention mechanism. We select 11 predictors for the IceTFT model, including SIE, atmospheric variables, and oceanic variables, according to the physical mechanisms affecting sea ice development. The IceTFT model can provide 12-month SIE directly, according to the inputs of the last 12 months. We evaluate the IceTFT model from the hindcasting experiments for 2019–2021 and prediction for 2022. For the hindcasting of 2019–2021, the average monthly prediction errors are less than 0.21 ×106 km2, and the September prediction errors are less than 0.1 ×106 km2, which is superior to the models from Sea Ice Outlook (SIO). For the prediction of September 2022, we submitted the prediction to the SIO in June 2022, and IceTFT still has higher prediction skill. Furthermore, the VSN in IceTFT can automatically adjust the weights of predictors and filter spuriously correlated variables. Based on this, we analyze the sensitivity of the selected predictors for the prediction of SIE. This confirms that the IceTFT model has a physical interpretability.
A FEATURE-BASED DEEP LEARNING APPROACH FOR THE EXTRACTION OF GROUND POINTS FROM 3D POINT CLOUDS
Authors: Dogan Y. , Ok A. Ö.
Published: August 2023

Abstract. Extracting ground points from 3D point clouds is important for sustainable development goals, infrastructure planning, disaster management, and more. However, the irregularity and complexity of the data make it challenging. Deep learning techniques, particularly end-to-end and non-end-to-end approaches, have shown promise for 3D point cloud segmentation and classification, but both require a comprehensive understanding of the features and their relationship to the problem. This paper presents a study on the filtering of 3D LiDAR point clouds into ground and non-ground points using a non-end-to-end deep learning approach. The aim of this research is to investigate the effectiveness of utilizing geometric features and a binary classifier-based deep learning model in accurately classifying point clouds. The publicly available ACT benchmark datasets were employed for training, validation, and testing purposes. The study utilized a k-fold cross-validation method to address the limited availability of training data. The results demonstrated highly satisfactory performance, with validation averages reaching 96.83% for the divided Dataset-1 and an accuracy of 97% for the test set. Furthermore, an independent dataset, Dataset-2, was used to evaluate the generalizability of the trained model, achieving an accuracy of 93%. These findings highlight the potential of the proposed non-end-to-end approach to filtering point cloud data and its applicability in various domains such as DEM and DTM production, city modeling, urban planning, and disaster management. Moreover, this study emphasizes the need for accurate data to achieve sustainable development goals, positioning the proposed approach as a viable option in various studies.
A COMPREHENSIVE ANALYSIS OF THE SPATIO-TEMPORAL VARIATION OF SATELLITE-BASED AEROSOL OPTICAL DEPTH IN MARMARA REGION OF TURKIYE DURING 2000–2021
Authors: Ettehadi Osgouei P. , Kaya Ş.
Published: August 2023

Abstract. This study investigates the spatiotemporal variability of the aerosol optical depth (AOD) in the atmosphere over the Marmara region, Turkiye. Long-term satellite observations from MODIS MAIAC AOD data spanning the period from 2000 to 2021 are utilized. Examining the temporal variations in AOD in the Marmara region, it is observed that AOD reaches its peak during spring (May) and summer (August) months, while lower AOD values are observed in winter. Specifically, between August and December, there is a significant decline in monthly mean AOD which is majorly due to particulate removal from the atmosphere via precipitation scavenging. The findings reveal that the inter-annual variability of monthly AOD variations in the Marmara region is primarily influenced by temporary Saharan dust transportation with highest deviations from 22 year averaged AOD in late winters and early springs. The findings from the analysis of seasonal spatial variation of high AOD values revealed that the high AOD area is largest in the summer with about 54% of the total area and then spring (45%) and autumn (26%). Winter has the lowest HVA with 17% of the total area. The seasonal percentage rates of HVA are due to atmospheric conditions and aerosol sources. Larger HVA in summer is due to the increase of farming practices and biomass residue burnings combined with high moisture absorption effects and high temperature. The heating-specific emissions are the main source of anthropogenic emissions over the high AOD areas during the autumn and winter and aerosols are concentrated over the urbanized centres and industrialized zones.
IMPROVING THE ACCURACY OF SATELLITE-BASED NEAR SURFACE AIR TEMPERATURE AND PRECIPITATION PRODUCTS
Authors: Karaman Ç. H. , Akyurek Z.
Published: August 2023

Abstract. In this study, we evaluate the performance of several reanalyses and satellite-based products of near-surface air temperature and precipitation to determine the best product in estimating daily and monthly variables across the complex terrain of Turkey. Each product’s performance was evaluated using 1120 ground-based gauge stations from 2015 to 2019, covering a range of complex topography with different climate classes according to the Köppen-Geiger classification scheme and land surface types according to the Moderate Resolution Imaging Spectroradiometer (MODIS). Furthermore, various traditional and more advanced machine learning downscaling algorithms were applied to improve the spatial resolution of the products. We used distance-based interpolation, classical Random Forest, and more innovative Random Forest Spatial Interpolation (RFSI) algorithms. We also investigated several satellite-based covariates as a proxy to downscale the precipitation and near-surface air temperature, including MODIS Land Surface Temperature, Vegetation Index (NDVI and EVI), Cloud Properties (Cloud Optical Properties, Cloud Effective Radius, Cloud Water Path), and topography-related features. The agreement between the ground observations and the different products, as well as the downscaled temperature products, was examined using a range of commonly employed measures. The results showed that AgERA5 was the best-performing product for air temperature estimation, while MSWEP V2.2 was superior for precipitation estimation. Spatial downscaling using bicubic interpolation improved air temperature product performance, and the Random Forest (RF) machine learning algorithm outperformed all other methods in certain seasons. The study suggests that combining ground-based measurements, precipitation products, and features related to topography can substantially improve the representation of spatiotemporal precipitation distribution in data-scarce regions.
OPTIMIZED ECOLOGICAL NETWORK APPROACH OF HIGHLY URBANIZED CITIES: THE CASE OF ADANA CITY
Authors: Kurt G. , Külahlıoğlu M. , Berberoğlu S.
Published: August 2023

Abstract. One of the most significant challenges in urban areas, where the process of rapid urban expansion takes place, is the loss of agricultural lands and natural habitats. The conversion of these areas into residential and commercial zones leads to a decline in urban biodiversity and the progressive loss of vital habitat areas. Analyzing habitat connectivity and conducting landscape measurements provide valuable insights for the development of land use and management strategies, enhancing our understanding of the spatial structure of the landscape, and directing conservation efforts. Incorporating measures such as green corridors and landscape connection networks into urban planning management becomes crucial in order to mitigate the adverse effects of habitat fragmentation and enhance ecosystem resilience within cities. Remote sensing techniques offer opportunities to create habitat connectivity models that enable the quantitative and qualitative identification of fragmented habitat patches. These models serve as tools to evaluate the effectiveness of conservation measures and monitor the potential impacts of future land use changes on habitat networks. Within this context, an optimized approach to habitat connectivity is presented, aiming to contribute to landscape planning and ecological-based studies in a city with undergoing rapid urbanization like Adana. By identifying degraded areas and introducing new habitat patches, a significant improvement in the connectivity of the habitat network has been observed. The findings indicated that the addition of new habitat patches to degraded areas can substantially enhance the city's overall habitat connectivity.
The impact of seismic noise produced by wind turbines on seismic borehole measurements
Authors: Limberger Fabian , Rümpker Georg , Lindenfeld Michael , Deckert Hagen
Published: August 2023

Abstract. Seismic signals produced by wind turbines can have an
adverse effect on seismological measurements up to distances of several
kilometres. Based on numerical simulations of the emitted seismic wave field,
we study the effectivity of seismic borehole installations as a way to
reduce the incoming noise. We analyse the signal amplitude as a function of
sensor depth and investigate effects of seismic velocities, damping
parameters and geological layering in the subsurface. Our numerical
approach is validated by real data from borehole installations affected by
wind turbines. We demonstrate that a seismic borehole installation with an
adequate depth can effectively reduce the impact of seismic noise from wind
turbines in comparison to surface installations. Therefore, placing the
seismometer at greater depth represents a potentially effective measure to
improve or retain the quality of the recordings at a seismic station.
However, the advantages of the borehole decrease significantly with
increasing signal wavelength.
An insight into the capability of the Actuator Line Method to resolve tip vortices
Authors: Melani Pier Francesco , Mohamed Omar Sherif , Cioni Stefano , Balduzzi Francesco , Bianchini Alessandro
Published: August 2023

Abstract. The Actuator Line Method (ALM) is being increasingly preferred to the ubiquitous Blade Element Momentum (BEM) approach in several applications related to wind turbine simulation, thanks to the higher level of fidelity required by the design and analysis of modern machines. This approach, however, still falls behind other medium-fidelity methodologies such as the Lifting Line Theory (LLT) when it comes to resolving the vortex-like structures shed at the blade tip (i.e., tip vortices) and their effect on the load profile along the blade. Despite the numerical strategies proposed so far to overcome this limitation, the reason for such behaviour is still unclear. Moving from this background, in this study the ALM’s capability to simulate tip effects is investigated. To this end, the ALM tool developed by the authors in the ANSYS® FLUENT® environment (v. 20.2) was employed for the simulation of a NACA0018 finite wing, for different pitch angles. Three different test cases were considered: high-fidelity blade-resolved CFD simulations, to be used as a benchmark, standard ALM, and ALM with the spanwise force distribution coming from blade-resolved data (frozen ALM). The last option was included to isolate the effect of force projection, using three different smearing functions. For the post-processing of the results, two different techniques were applied: the LineAverage sampling of the local angle of attack along the blade and state-of-the-art Vortex Identification Methods (VIM) to outline the blade vortex system. The analysis showed that the ALM can account for tip effects without the need of additional corrections, provided that the correct angle of attack sampling and force projection strategies are adopted.
Dynamic Capabilities, Innovation, and Sustainable Competitive Advantage under Environmental Uncertainty in Textile Industry
Authors: Mariam Shahida , Khawaja Kausar Fiaz , Khan Hafiz Ghufran Ali
Published: August 2023

This study examined the relationship between dynamic capabilities and sustainable competitive advantage through technological and non-technological innovation under environmental uncertainty.  The proposed interactive model has been explained using the dynamic capabilities theory. Data were collected from 246 managers in the textile manufacturing industries in Pakistan through a two-point survey. The measurement model showed excellent psychometric qualities for all variable measures. Findings provide that dynamic capabilities have a significant positive relationship with sustainable competitive advantage mediated by technological and non-technological innovations in parallel and serial ways. Environmental uncertainty accelerated the positive impact of dynamic capabilities on both these forms of innovation, leading to sustainable competitive advantage. Findings emphasize the importance of dynamic capabilities in the manufacturing industry and support investment in developing such capabilities, which enhance industry innovation and competitiveness
Os impactos da lei geral de proteção de dados nas relações empresariais
Authors: Alves Terra João Otávio , Prado Rodrigues Lucas Tadeu
Published: August 2023

The scandals of data leakage carried out by big corporations, impelled the debates about the necessity of a specific legislation to regulate the subject. In this sense, on April 15, 2016, the General Regulation for the Protection of Personal Data (GDPR), applicable to all countries of the European Union, was approved. Inspired by the GDPR, the General Law for the Protection of Personal Data (LGPD), is a regulatory framework for the subject in Brazil, implying major changes in the business sphere. Given the relevance of the subject, the present research aims to point out the main aspects of the new legislation in the daily business, especially with regard to the challenges for its implementation.
Hamstring strain injuries and sprinting biomechanics. Is there a link?
Authors:   , Kalema Djemba Roudi Norbert
Published: August 2023

This thesis examined the link between hamstring strain injury and sprinting biomechanics in professional and semi-professional football players. Such a link is still unclear and there is a need for more quality research. Training prescription could be a risk factor for hamstring strain injury according to a group of experts and there is need for research involving all stakeholders. The propulsive ground reaction force should be monitored during the rehabilitation process and specific exercise aiming at improving the propulsive ground reaction force should be included in the hamstring injury prevention strategy.
Comparative Study of Strengthened Steel Structure Behavior Using Bracing and Shearwall
Authors: Yusuf Khairullah , Fasdarsyah Fasdarsyah , Usrina Nura , Fauzan M , Nurahim Rahmi
Published: August 2023

Multi-storey buildings are very susceptible to lateral forces, so reinforcement is needed to stiffen the building by adding a system of stiffeners to the building structure. In steel building structures, the system of stiffeners bracing and confessor shearwall can provide rigidity and strength by limiting the movement of the structure. In addition, the placement of stiffener systems in the right locations can also increase the rigidity of the building structure. This study aims to compare the effectiveness of structural behavior using a stiffener system based on the value of the fundamental period (T), the base shear force (V), the drift between stories (?x). In this research using a steel structure model that functions as an office building with a height of 10 levels, one variation of the model without stiffeners and four models with stiffeners, with two variations of the position of the stiffeners, namely in the middle and on the edge of the structure. The results of this study indicate that the addition of a stiffener system can increase the rigidity of the structure. The most effective structural model is found in the structural model with stiffeners shearwall the stiffener position in the middle which has a fundamental period value in the X and Y directions of 17.67% and 18.32% is better than the other models. For the base shear force values in the X and Y directions are 0.95% and 0.95% smaller than the other models. The deviation values between floor levels in the X and Y directions are 9.67% and 34.17% better than the other models. Meanwhile, the inefficient structural model is found in the structural model with stiffeners bracing on the edge which has a fundamental period value in the X and Y directions of 8.96% and 9.32% which is no better than the other models. For the base shear force values in the X and Y directions are 18.02% and 18.02% greater than the other models. The deviation values between floor levels in the X and Y directions are 1.69% and 13.15%, not better than the other models. So in this study it can be concluded that the stiffener system with a position in the middle is better than the position on the edge.
Economic Growth and Stock Market Performance Under Different Regimes in Pakistan: A Comparison of Dictatorial and Democratic Regimes
Authors: Khan Muhammad Sarfraz , Khan Muhammad Harris , Liaqat Saima
Published: August 2023

Pakistan is a developing country with a history of cyclical regimes, from democratic governments to dictatorial reigns. Literature provides inconclusive evidence as to whether democratic governments or dictatorial regimes yield better economic outcomes. This study provides a chronological description of different ruling regimes of Pakistan since 1960 and relates to economic outcomes like economic growth and stock market performance of relative regimes. It is noted that dictatorial regimes in Pakistan had better economic outcomes. It is also noted that dictators enjoyed longer and more powerful tenure in Pakistan, while democratic governments remained very unstable. We argue that better economic and stock market outcomes under dictatorial regime could be a result of consistent and stable policy making. Thus, there is a need to strengthen political processes in the country and devise policies for long time horizons to improve economic outlook of Pakistan.
Challenges Regarding Access to Higher Education among Rural Women in Punjab Pakistan: Impact & Implication
Authors: Hasan Sumera Tul , Murtaza Ghulam , Shamshad Tahira , Imran Muhammad
Published: August 2023

This study examined the challenges regarding access to higher education among rural women in Punjab, Pakistan, and explored the impacts and implications of these challenges. The study examined the role of socioeconomic factors, family size and distance to educational institutions in shaping access to higher education for rural women. A sample of 384 participants from the region was surveyed using a well-structured questionnaire. The analysis revealed that household income and the perceived difficulty in paying school fees significantly influenced access to higher education with greater financial resources increasing the likelihood of educational opportunities for women. The size of a family has become another factor that affects educational outcomes because there are not enough resources and attention available for girl’s higher education. Moreover, the distance of educational institution from home presented a significant barrier, hindering access to higher education for rural women. Confirmatory factor analysis and structural equation modeling showed that these factors were important to effect the rural women's ability to attend the institute. The study showed the need for targeted interference and policies to promote higher education and enhance access to higher education for rural women in Punjab, Pakistan.
Day 2 Panel 3: Self-Care as Self-Preservation: Understanding Vicarious Trauma & Enhancing Support for Providers
Authors: Josie Torielli  , Lisa Alexander  , Dorcas Miller  , Hawthorne Smith  , Victoria Goodlof
Published: August 2023

Day 2 – October 14, 2022 Panel 3: Self-Care as Self-Preservation: Understanding Vicarious Trauma & Enhancing Support for Providers