bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penyuluhan Tentang Tablet Tambah Darah pada Remaja Puteri di Desa Mompang Kecamatan Padangsidimpuan Angkola Julu
Authors: Aswan Yulinda 
Published: July 2024

ABSTRAK
Anemia merupakan masalah kesehatan utama di masyarakat dan sering terjadi di seluruh dunia, terutama di negara berkembang seperti Indonesia. Gangguan ini merupakan penyebab kecacatan kronis dan mempunyai dampak signifikan terhadap situasi kesehatan, ekonomi, dan sosial. Sekitar 30% atau 2,2 miliar orang di seluruh dunia menderita anemia, yang sebagian besar tinggal di daerah tropis. Prevalensi global anemia adalah sekitar 51%. Angka kejadian anemia di Propinsi Sumatera Utara menurut data Dinas Kesehatan provinsi Sumatera Utara pada tahun 2015 mencapai 57,1%, tahun 2016 sebanyak 54,5%, dan tahun 2017 meningkat menjadi 58,2%. Anemia pada remaja putri di Kota Medan masih merupakan masalah kesehatan masyarakat karena prevalensinya lebih dari 25%. Meskipun telah banyak remaja puteri yang mengetahui tentang anemia tetapi mereka tidak mengetahui bahwa anemi dapat dicegah dengan mengkonsumdi tablet tambah darah sesuai anjuran yang benar. Sehingga diperlukan pemberian informasi terkait tablet tambah darah pada remaja puteri Di Desa Mompang. Target luaran yang diharapkan peningkatan pengetahuan antara sebelum dan setelah dilaksanakannya penyuluhan, serta kesadaran remaja puteri untuk mengkonsumsi tablet tambah darah sesuai anjuran. Metode yang digunakan adalah penyuluhan. Hasil pengabdian terdapat peningkatan pengetahuan remaja puteri tentang tablet tambah darah pada remaja puteri.
Kata Kunci: penyuluhan; tablet tambah darah; remaja puteri
ABSTRACT
Anemia is a major health problem in society and often occurs throughout the world, especially in developing countries like Indonesia. This disorder is a cause of chronic disability and has a significant impact on health, economic and social situations. About 30% or 2.2 billion people worldwide suffer from anemia, most of whom live in tropical areas. The global prevalence of anemia is approximately 51%. The incidence of anemia in North Sumatra Province according to data from the North Sumatra Provincial Health Service in 2015 reached 57.1%, in 2016 it was 54.5%, and in 2017 it increased to 58.2%. Anemia in adolescent in Medan City is still a public health problem because its prevalence is more than 25%. Even though many adolescent know about anemia, they do not know that anemia can be prevented by consuming blood supplement tablets according to the correct recommendations. So it is necessary to provide information regarding blood supplement tablets to adolescent in Mompang Village. The expected output target is increased knowledge between before and after the counseling is implemented, as well as awareness among adolescent to consume blood supplement tablets as recommended. The method used is counseling. The results of the service showed an increase in adolescent knowledge about blood supplement tablets in adolescent.
Keywords: counseling; blood supplement tablets; adolescent
Ammonia in the upper troposphere–lower stratosphere (UTLS): GLORIA airborne measurements for CAMS model evaluation in the Asian monsoon and in biomass burning plumes above the South Atlantic
Authors: Johansson Sören , Höpfner Michael , Friedl-Vallon Felix , Glatthor Norbert , Gulde Thomas , Huijnen Vincent , Kleinert Anne , Kretschmer Erik , Maucher Guido , Neubert Tom , Nordmeyer Hans , Piesch Christof , Preusse Peter , Riese Martin , Sinnhuber Björn-Martin , Ungermann Jörn , Wetzel Gerald , Woiwode Wolfgang 
Published: July 2024

Abstract. Ammonia (NH3) is the major alkaline species in the atmosphere and plays an important role in aerosol formation, which affects local air quality and the radiation budget. NH3 in the upper troposphere and lower stratosphere (UTLS) is difficult to detect, and only limited observations are available. We present two-dimensional trace gas measurements of NH3 obtained by the airborne infrared imaging limb sounder GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) that was operated on board the research aircraft Geophysica within the Asian monsoon anticyclone during the StratoClim campaign (July 2017) and on board HALO (the High Altitude and LOng Range research aircraft) above the South Atlantic during the SouthTRAC campaign (September–November 2019). We compare these GLORIA measurements in the UTLS with results of the CAMS (Copernicus Atmosphere Monitoring Service) reanalysis and forecast model to evaluate its performance. The GLORIA observations reveal large enhancements of NH3 of more than 1 ppbv in the Asian monsoon upper troposphere but no clear indication of NH3 in biomass burning plumes in the upper troposphere above the South Atlantic above the instrument's detection limit of around 20 pptv. In contrast, CAMS reanalysis and forecast simulation results indicate strong enhancements of NH3 in both measured scenarios. Comparisons of other retrieved pollution gases, such as peroxyacetyl nitrate (PAN), show the ability of CAMS models to generally reproduce the biomass burning plumes above the South Atlantic. However, NH3 concentrations are largely overestimated by the CAMS models within these plumes. We suggest that emission strengths used by CAMS models are of lower accuracy for biomass burning in comparison to agricultural sources in the Asian monsoon. Further, we suggest that loss processes of NH3 during transport to the upper troposphere may be underestimated for the biomass burning cases above the South Atlantic. Since NH3 is strongly undersampled, in particular at higher altitudes, we hope for regular vertically resolved measurements of NH3 from the proposed CAIRT (Changing-Atmosphere Infra-Red Tomography Explorer) mission to strengthen our understanding of this important trace gas in the atmosphere.
Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods
Authors: Kim Minseok , Kim Jhoon , Lim Hyunkwang , Lee Seoyoung , Cho Yeseul , Lee Yun-Gon , Go Sujung , Lee Kyunghwa 
Published: July 2024

Abstract. Data fusion of aerosol optical depth (AOD) datasets from the second generation of the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2, GK-2) series was undertaken using both statistical and deep neural network (DNN)-based methods. The GK-2 mission includes an Advanced Meteorological Imager (AMI) aboard GK-2A and a Geostationary Environment Monitoring Spectrometer (GEMS) and Geostationary Ocean Color Imager II (GOCI-II) aboard GK-2B. The statistical fusion method, maximum likelihood estimation (MLE), corrected the bias of each aerosol product by assuming a Gaussian error distribution and accounted for pixel-level uncertainties by weighting the root-mean-square error of each AOD product for every pixel. A DNN-based fusion model was trained to target AErosol RObotic NETwork (AERONET) AOD values using fully connected hidden layers. The MLE and DNN AOD outperformed individual GEMS and AMI AOD datasets in East Asia (R = 0.888; RMSE = −0.188; MBE = −0.076; 60.6 % within EE for MLE AOD; R = 0.905; RMSE = 0.161; MBE = −0.060; 65.6 % within EE for DNN AOD). The selection of AOD around the Korean Peninsula, which incorporates all aerosol products including GOCI-II, resulted in much better results (R = 0.911; RMSE = 0.113; MBE = −0.047; 73.3 % within EE for MLE AOD; R = 0.912; RMSE = 0.102; MBE = −0.028; 78.2 % within EE for DNN AOD). The DNN AOD effectively addressed the rapid increase in uncertainty at higher aerosol loadings. Overall, fusion AOD (particularly DNN AOD) showed improvements with less variance and a negative bias. Both fusion algorithms stabilized diurnal error variations and provided additional insights into hourly aerosol evolution. The application of aerosol fusion techniques to future geostationary satellite projects such as Tropospheric Emissions: Monitoring of Pollution (TEMPO), Sentinel-4, and Geostationary Extended Observations (GeoXO) may facilitate the production of high-quality global aerosol data.
Assessment of carbon mass in a Mediterranean downy oak ecosystem using airborne lidar and NASA Global Ecosystem Dynamics Investigation (GEDI) data
Authors: Chazette Maëlie , Chazette Patrick , Reiter Ilja M. , Shang Xiaoxia , Totems Julien , Orts Jean-Philippe , Xueref-Remy Irène , Montes Nicolas 
Published: July 2024

Abstract. Forest systems are the main carbon sink after the oceans. However, due to climate change, an alarming number of tree species of the Northern Hemisphere are at risk of migrating northwards or becoming extinct. This is the case for the downy oak (Quercus pubescens), one of the main species constituting the forests close to the Mediterranean Sea in France. Our aim is to retrieve aboveground carbon (AGC) and underground root carbon (UGC) stocks of the downy oak forest at the Observatoire de Haute-Provence (OHP), located about 80 km north of Marseille, in order to provide a baseline against which to assess the effect of climate change on this model species. The study presented here is based on airborne lidar observations performed on May 2012 and field measurements from 2012, 2018 and 2023 in the OHP forest. The OHP forest consists of ∼ 75 % downy oak, which is highly sensitive to global warming. Field measurements indicate minimal changes in tree growth and density between 2012 and 2023, and thus its carbon storage efficiency remains stationary. As retrieved by lidar measurements, tree top heights (TTHs) are mostly between 5 and 12 m, with an uncertainty of around 1 m. The slow evolution of trees at the OHP site makes it appropriate to use lidar data recorded in 2012 to assess the carbon stock trapped in current forest biomass. By coupling allometric laws established from field measurements with lidar observations, we show that the quantities of carbon trapped in aboveground biomass are double those trapped in the root system. Over an area of ∼ 24 ha, mean values of 15 ± 14 tC ha−1 are assessed for the aerial biomass against 8–10 ± 3–7 tC ha−1 for the roots of diameter larger than 1 cm for low and high assessments. These values depend heavily on the height of the sampled trees themselves, as well as on their location on the OHP plateau (smaller trees, 5–6 m) or on the slope (tallest trees, 10–12 m). Using a Monte Carlo approach, the relative uncertainties in AGC were calculated to be of the order of 17 % and 11 % for trees 5–6 m and 10–12 m tall, respectively. For UGC, the relative uncertainties were calculated as 8 % and 5 % for the same tree heights, but the assumptions of the allometric model are associated with biases that can easily reach 100 %. Although the surface footprints are different, we show that there is a reasonable agreement between our airborne lidar measurements and the level 2B (TTH) and (aboveground biomass) operational products of the Global Ecosystem Dynamics Investigation (GEDI) mission on the International Space Station for data acquired between 2019 and 2022.
Quantifying mantle mixing through configurational entropy
Authors: van der Wiel Erik , Thieulot Cedric , van Hinsbergen Douwe J. J. 
Published: July 2024

Abstract. Geodynamic models of mantle convection provide a powerful tool to obtain insights into the structure and composition of the Earth's mantle that resulted from a long history of differentiating and mixing. Comparing such models with geophysical and geochemical observations is challenging, as these datasets often sample entirely different temporal and spatial scales. Here, we explore the use of configurational entropy, based on tracer and compositional distribution on a global and local scale. We show means to calculate configurational entropy in a 2D annulus and find that these calculations may be used to quantitatively compare long-term geodynamic models with each other. The entropy may be used to analyse, with a single measure, the mixed state of the mantle as a whole and may also be useful to compare numerical models with local anomalies in the mantle that may be inferred from seismological or geochemical observations.
Enhancing IoT-Enabled Wireless Sensor Network Performance through Adaptive Congestion Control: Investigation of Hybrid Aggregation and Scheduling Techniques
Authors: Shiv H. Sutar  
Published: July 2024

In the rapidly expanding domain of the Internet of Things (IoT), Wireless Sensor Networks (WSNs) have become indispensable, supporting applications ranging from environmental monitoring to industrial automation. However, as the IoT ecosystem continues to burgeon with an array of devices and applications, the effective management of data transmission and congestion control within these networks presents an escalating challenge. To address this, this paper introduces a ground-breaking Optimal Congestion Control Mechanism tailored explicitly for IoT-enabled Wireless Sensor Networks. This innovative mechanism incorporates a Hybrid Aggregation and Scheduling technique to tackle the dual hurdles of congestion relief and energy efficiency in WSNs. By seamlessly blending data aggregation with dynamic scheduling, this approach endeavors to optimize network resources and alleviate congestion-related issues. Data aggregation intelligently consolidates multiple data packets into a single transmission, reducing overhead and maximizing the con- strained bandwidth of wireless channels. Concurrently, dynamic scheduling adapts the transmission schedule in real-time based on network conditions, ensuring the timely delivery of critical data while minimizing congestion. To achieve an optimal configuration, the mechanism employs an intelligent decision-making algorithm that considers factors like data priority, network traffic, and energy constraints. Furthermore, machine learning techniques, notably reinforcement learning, can be leveraged to enhance the algorithm’s adaptability over time. The efficacy of the proposed mechanism undergoes rigorous assessment through simulations and real-world experiments, validating its ability to diminish congestion, enhance data delivery, and prolong the operational life of the network. The outcomes underscore the significant potential of this Optimal Congestion Control Mechanism to elevate the reliability and efficiency of IoT-enabled Wireless Sensor Networks. By harnessing the combined advantages of data aggregation and dynamic scheduling, the proposed mechanism offers a comprehensive solution for efficiently managing congestion and optimizing network resource utilization.
The Fractional Calculus of Product of Special Functions
Authors: Karuna Laddha  
Published: July 2024

Introduction: In this paper, we aim to establish a closed form for the Pathway fractional integral operator and Marichev-Saigo-Maeda fractional integral and differential operators involving the product of Special G function and Generalized Mittag – Leffler function. The obtained results are evaluated in terms of generalized Wright hyper geometric function.
Soybean cultivation in short rotation organic crop rotation under different fertilisation systems
Authors: Savchenko E.D. 
Published: July 2024

To determine the impact of different types of organic fertilizer systems on the yield and quality of soybean seeds in a short-rotation crop rotation. Methods. Research is conducted at the Panfil Research Station of the National Scientific Center «Institute of Agriculture of NAAS» in a stationary experiment established in 2021 on typical low-humus chernozem. Results. According to the research results, soybean cultivation in a short-term organic crop rotation: soybean (Glycine max (L.) Merrill) – spring wheat (Triticum aestivum L.) – common millet (Panicum miliaceum L.) with using different types of biological fertilizer was quite effective. Thus, the yield of soybean seeds, depending on the organic fertilization system, was in the range of 1.28–1.68 t/ha, with a protein and fat content of 39.50–41.55 and 18.67–21.25 %, respectively. Conclusions. The maximum conditional net profit of 5.48 thousand UAH/ha with a profitability level of 144 % was provided by the integrated use of by-products of the predecessor, green manure and «Bio-Hel» biofertilizer, at a dose of 3.0 l/ha. Thus, in the conditions of the Left-Bank Forest-Steppe of Ukraine, soybeans are most rationally grown in a short-term organic crop rotation: soybeans – spring wheat – common millet with complex application of organic fertilizers.
Growth of leaf area and yield of winter rape hybrids in the conditions of the northeastern part of the western Forest-Steppe
Authors: Hoisiuk Yu.V. , Hoisiuk S.O. 
Published: July 2024

Розробити рекомендації щодо вирощування ріпаку озимого для господарств північно-східної частини Лісостепу Західного, а саме: серед групи класичних гібридів ріпаку озимого встановити ті, що забезпечують найбільшу урожайність, яка формується при конкретному способі сівби та нормі висіву насіння. Методи. Дослідження, з поставлених завдань, технології вирощування ріпаку озимого виконувались шляхом закладання польового досліду відповідно до загальноприйнятої методики за трьохфакторною схемою в чотириразовому повторенні. Дослід закладався на темно-сірих опідзолених ґрунтах, які є характерною ґрунтовою відміною для зазначеного регіону. Серед досліджуваних чинників були гібриди: ДК Екзодус, ДК Ексквізіт, ДК Експріт. Гібриди висівали із шириною міжрядь 15 см та 35 см і нормами висіву 350 і 450 тис./га. Результати. Визначено рівень урожайності в досліді, і як наслідок, встановлено, що найвищі показники були досягнуті, у досліджуваних гібридів ріпаку озимого, на варіантах із висіванням насіння шириною міжряддя 15 см. А саме, відповідно до гібриду та норми висіву насіння урожайність коливалася в межах 4,29–4,65 т/га. Найвищий показник 4,65 т/га був встановлений за висівання гібриду ДК Екзодус нормою висіву 450 тис./га. Висновки. В умовах північно-східної частини Лісостепу Західного для одержання найбільш підвищеної урожайності, рекомендовано висівати гібрид ріпаку озимого ДК Екзодус із нормою висіву насіння 450 тис./га та з міжряддям 15 см. А за необхідності висівання насіння із шириною міжряддя 35 см рекомендовано висівати гібрид ДК Ексквізіт із нормою висіву насіння 350 тис./га.
Asuhan Keperawatan pada Ny. S dengan Diagnosa Stroke Infark
Authors: Lestari Inka , Efendi Ramli , Tri Noviyani Arina , Alfi Lail Nur , Ahmad Fausi Adhin 
Published: July 2024

Stroke terjadi akibat Penyumbatan atau pendarahan yang terjadi pada otak, hal ini menyebabkan gangguan fungsi otak secara mendadak yang mengakibatkan aliran darah dan oksigen ke otak terganggu. Sehingga terjadi kematian jaringan otak yang mengakibatkan penderitanya mengalami kelumpuhan hingga kematian. World Health Organisation (WHO) menyebutkan angka kematian akibat stroke sebesar 51% diseluruh dunia disebabkan oleh tekanan darah tinggi pernyataan ini berasal dari laporan WHO pada tahun 2013 yang menguraikan beban penyakit global yang disebabkan oleh hipertensi? (Merck Group)?. Tujuan dari penelitian ini untuk memberikan gambaran pelaksanaan Asuhan Keperawatan Pada pasien dengan diagnosa stroke infrak diruang Stroke Unit RSUD Gunung Jati Kota Cirebon. Metode yang digunakan yaitu pendekatan studi kasus. Subjek dalam studi kasus ini satu pasien dengan diagnosis medis stroke infrak di ruang rawat inap Stroke Unit. Hasil studi kasus dari penelolaan asuhan keperawatan pasien dengan diagnosis medis stroke infrak dengan masalah keperawatan gangguan mobilitas fisik, setelah diberikan intervensi ROM pada ekstermitas kiri selama 3 hari, didapat kan hasil ekestermitas kiri mulai dapat di gerakan dari semula kekuatan otot 1 menjadi 3. Dari hasil intervensi yang telah dilakukan dapat disimpulkan bahwa penerapan ROM pada pasien stroke efektif untuk meningkatkan kekuatan otot ekstermitas pada pasien stroke, penerapan tehknik non farmakologis seperti ROM dapat di jadikan sebegai pendampin terapi farmakologis.
Edukasi dan Pendampingan Pemilihan Bahan Makanan untuk Imunitas Tubuh bagi Guru dan Orang Tua Murid TK Anggrek Palembang
Authors: Siregar Afriyana , Hartati Yuli , Podojoyo Podojoyo , Telisa Imelda 
Published: July 2024

Coronavirus Disease 2019 (COVID-19) saat ini merupakan penyakit yang sangat meresahkan masyarakat. Tanda dan gejala umum infeksi COVID-19 antara lain gejala gangguan pernapasan akut seperti demam, batuk dan sesak napas. COVID-19 dapat menular dari manusia ke manusia melalui kontak erat dan droplet, tidak melalui udara. Orang yang paling berisiko tertular penyakit ini adalah orang yang kontak erat dengan pasien COVID-19 termasuk yang merawat pasien COVID-19. Rekomendasi standar untuk mencegah penyebaran infeksi adalah melalui cuci tangan secara teratur, menerapkan etika batuk dan bersin, menghindari kontak secara langsung dengan ternak dan hewan liar serta menghindari kontak dekat dengan siapa pun yang menunjukkan gejala penyakit pernapasan seperti batuk dan bersin. Anak-Anak, orang tua dan orang yang mempunyai penyakit kurmobid merupakan kelompok yang rentan terhadap penyakit yang diakibatkan covid 19. Selama terjadinya pandemi Covid 19 imunitas tubuh harus benar-benar terjaga untuk mencegah tubuh terserang virus corona tersebut. Agar imunitas tubuh meningkat dibutuhkan pengetahuan dalam memilih bahan makanan yang benar terutama bagi guru dan orang tua. Tujuan kegiatan pengabdian masyarakat ini untuk meningkatkan pengetahuan guru dan orang tua murid dalam memilih bahan makanan untuk meningkatkan imunitas tubuh selama covid 19. Metode yang digunakan dengan penyuluhan dan pendampingan pemilihan bahan makanan untuk meningkatkan imunitas tubuh. Hasil kegiatan pengabdian masyarakat menunjukan adanya peningkatan pengetahuan guru dan orang tua murid setelah dilakukan pendampingan. Kesimpulan pendampingan dapat meningkatkan pengetahuan guru dan orang tua murid.
Kemampuan Menulis Teks Persuasif pada Siswa Kelas IV di SDN 13 Limo Suku Kabupaten Agam
Authors: Dina Rahmadani  , Indah Irgandi  , Nur Hafizah  , Ranti Julia  
Published: July 2024

This study aims to evaluate the ability to write persuasive texts in elementary school students. The main focus of the research is to analyze students' abilities in terms of text structure, linguistic rules, and characteristics of language use. The research method used is quantitative descriptive with the main instrument being a written test. The research subjects were four grade students at SDN 13 Limo Suku, Agam Regency. The research results show that: (1) In terms of text structure, the majority of students are able to write well, although some still experience difficulties in organizing arguments logically and coherently. (2) In terms of linguistic rules, students show a fairly good understanding, especially in the correct use of spelling and grammar, although there are some deficiencies in vocabulary variations and the use of complex sentences. (3) In terms of the characteristics of language use, students tend to be able to use persuasive language, but need more practice to improve rhetorical skills and the attractiveness of writing. Overall, the ability to write persuasive texts for fourth grade elementary school students at SDN 13 Limo Suku, Agam Regency is in the quite capable category. These findings indicate the need for improvement in learning to write persuasive texts, with a focus on strengthening argument structures and using more varied and effective language. It is hoped that this research can become the basis for developing more effective learning strategies in improving students' persuasive writing skills at the elementary school level.