bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gambaran Pengetahuan Tentang Personal Hygiene Pada Lansia di Dusun Labulia Desa LabuliaKecamatan Jonggat Kabupaten Lombok Tengah Tahun 2022
Authors: Pujiningsih Erniawati , Irianto Irni Dwi Astiti , Rafsanjani Ali Akbar 
Published: March 2024

Personal hygiene adalah suatu Tindakan untuk memelihara kebersihan dan Kesehatan seseorang untuk kesejahteraan fisik dan psikis. Pemenuhan personal hygiene diperlukan untuk kenyamanan individu, keamanan dan kesehatan. Tujuan dari penelitian ini adalah Mengetahui gambaran pengetahuan tentang personal hygiene pada lansia di Dusun Labulia Lombok Tengah
Jenis penelitian ini adalah deskrptif. Sampel pada penelitian ini adalah lansia yang berada di Dusun Labulia Lombok Tengah dengan jumlah responden sebanyak 17 sampel. Pengambilan sampel dilakukan dengan menggunakan purposive sampling.
Hasil dari penelitian ini di dapatkan bahwa karakteristik usia dari 17 responden, rata-rata usia 45-50 tahun sebanyak 11 responden (65%), jenjang pendidikan memiliki jenjang pendidikan SMA yakni sebanyak 7 responden (41%). Berdasarkan Pengetahuan Tentang Personal Hygiene Pada Lansia Di Dusun Labulia Desa Labulia Kecamatan Jonggat Kabupaten Lombok Tengah Tahun 2022 berada dalam kategori baik yakni 11 responden (65%).
Diharapkan bagi peneliti selanjutnya dapat mengembangkan ebih lanjut tentang pengetahuan personal hygiene pada lansia.
Identifikasi Kecendrungan Pemilihan Jajanan di Sekolah Pada Siswa SDN 2 Kota Mataram
Authors: Aisyah Siti , Irianto Irni Dwi Astiti , Zulfa Eva 
Published: March 2024

Makanan jajanan biasanya didominasi dengan kandungan karbohidrat yang tinggi dan hanya sedikit mengandung protein, vitamin, atau mineral. Salah satu jenis makanan jajanan, berupa snack ringan seringkali ditambahkan BTM (Bahan Tambahan Makanan) dengan tujuan untuk memperbaiki aroma, tekstur, rasa, penampakan, serta umur simpan makanan (Ary Istiani dan Ruslianti, 2013).
Tujuan penelitian ini untuk mengidentifikasi kecendrungan pemilihan jajanan anak sekolah di SDN 2 Mataram. Penelitian ini menggunakan teknik survey deskriptif yaitu mengidentifikasi kecendungan pemilihan jajanan anak sekolah dasar di SDN 2 Mataram, jumlah sampel adalah 39 siswa. Alat pengumpulan data yang di gunakan adalah kuesioner.
Hasil penelitian didapatkan 64% siswa cendrung mengkonsumsi jajanan siap saji kemasan dan 74,4 % siswa cendrung mengkonsumsi air putih selama disekolah.
Kesimpulan: siswa sekolah dasar lebih cendrung memilih jajajanan kemasan siap saji dan memilih air putih untuk dikonsumsi selama disekolah.
Diharapkan: perlu keterlibatan sekolah, tenaga kesehatan, orang tua dalam memberikan pemahaman tentang jajanan sehat serta penerapan aturan jajanan yang boleh dijual di sekitar sekolah.
Pengetahuan Remaja Putri Kelas X Terhadap Kesehatan Reproduksi Pemeriksaan Payudara Sendiri (Sadari) di MA Al-Aziziyah Putri Kapek Gunungsari
Authors: Supiana Nia , Safinatunnaja Bq. 
Published: March 2024

Kementerian Kesehatan (Kemenkes) menyatakan, angka kanker payudara di Indonesia mencapai 42,1 orang per 100 ribu penduduk, Kanker payudara menempati urutan pertama terkait jumlah kanker terbanyak di Indonesia serta menjadi salah satu penyumbang kematian pertama akibat kanker. Data Globocan tahun 2020, jumlah kasus baru kanker payudara mencapai 68.858 kasus (16,6%) dari total 396.914 kasus baru kanker di Indonesia. Sementara itu, untuk jumlah kematiannya mencapai lebih dari 22 ribu jiwa kasus. sekitar 43% kematian akibat kanker Dapat dicegah jika setiap wanita rutin melakukan deteksi dini dan menghindari faktor risiko penyebab kanker. Hasil studi pendahuluan di MA Al-Aziziyah Putri Kapek Gunungsari menunjukkan bahwa tingkat pengetahuan remaja putri tentang Pemeriksaan Payudara Sendiri (SADARI) masih kurang.
Tujuan penelitian ini adalah untuk mengetahui hubungan pengetahuan tentang kesehatan reproduksi pada remaja putri kelas X dengan Pemeriksaan Payudara Sendiri (SADARI) di MA Al-Aziziyah Putri Kapek Gunungsari
Metode penelitian dalam penelitian ini adalah survei analitik dengan rancangan cross sectional. Populasinya adalah semua siswa Kelas X di MA Al-Aziziyah Putri Kapek Gunungsari sebanyak 150 siswi. Teknik pengambilan sampel dalam penelitian ini adalah total sampling sehingga jumlah sampel yang diperoleh sebanyak 150 siswi. Alat bantu yang digunakan adalah kuesioner. Analisa statistik yang digunakan adalah chi square.
Hasil penelitian menunjukkan bahwa dari 150 remaja putri di MA Al-Aziziyah Putri Kapek Gunungsari, sebagian besar berumur 15 tahun sebanyak 91 orang (60,7%), tidak mendapatkan informasi sebanyak 115 orang (76,7%), pengetahuan kurang sebanyak 82 orang (54,7%), tidak melakukan pemeriksaan payudara sendiri (SADARI) sebanyak 117 orang dan ada hubungan antara pengetahuan tentang kesadaran siswi dalam melakukan pemeriksaan payudara sendiri (SADARI) dengan nilai p value sebesar 0,000 < 0,05.
Disarankan kepada pihak sekolah di MA Al-Aziziyah Putri Kapek Gunungsari bekerja sama dengan pihak puskesmas atau instansi kesehatan dalam memberikan edukasi tentang kespro dalam hal SADARI, penelitian ini juga dapat dijadikan sebagai sumber informasi tentang periksa payudara sendiri kepada siswi remaja/santri di MA Al-Aziziyah Putri Kapek Gunungsari
Hubungan Tingkat Pengetahuan Dengan Kepatuhan Minum Obat Pasien Hipertensi di Puskesmas Suela Kecamatan Suela Kabupaten Lombok Timur
Authors: Radiah Nur , Agustiana Nana , Nufus Lale Syifaun 
Published: March 2024

Hipertensi merupakan salah satu dari penyakit kardiovaskular tidak menular dan memerlukan pengobatan jangka panjang maka pengetahuan sangat diperlukan untuk mencegah terjadinya komplikasi. Pengetahuan yang baik dapat meningkatkan peran aktif untuk ikut serta dalam pengelolaan dan pengendalian hipertensi. Kepatuhan pengobatan diperlukan untuk mencapai kestabilan tekanan darah. Tujuan penelitian ini dilakukan untuk mengetahui hubungan antara pengetahuan dengan kepatuhan minum obat pada pasien hipertensi di Puskesmas Suela tahun 2022. Metode penelitian ini menggunakan penelitian deskriptif dengan pendekatan cross sectional. Sampel penelitian ini adalah 122 pasien hipertensi yang memenuhi kriteria umur >18 tahun di Puskesmas Suela. Analisis statistik yang digunakan adalah korelasi pearson. Dengan alat ukur yang digunakan yaitu kuesioner pengetahuan X dan kepatuhan minum obat Y. Berdasarkan hasil penelitian diketahui bahwa nilai korelasi pearson antara pengetahuan terhadap kepatuhan minum obat sebesar 0,095>0,05 sehingga dapat disimpulkan bahwa tidak terdapat hubungan antara tingkat pengetahuan dengan kepatuhan minum obat di Puskesmas Suela.
Gambaran Obat Kadaluwarsa, Obat Rusak, dan Stock Mati di Puskesmas Narmada Periode 2021
Authors: Sidrotullah M. , Suprihartini Baiq Endang , Diantini Ramhar 
Published: March 2024

Pengelolaan sediaan farmasi merupakan salah satu kegiatan pelayanan kefarmasian, yang dimulai dari perencanaan, permintaan, penerimaan, penyimpanan, pendistribusian, pengendalian, pencatatan dan pelaporan serta pemantauan dan evaluasi. Penyimpanan merupakan tahap dari pengelolaan obat yang berperan untuk menjaga obat agar tidak terjadi kadaluwarsa, rusak dan stock mati. Pengelolaan obat di puskesmas merupakan kegiatan penting yang dilaksanakan agar tercapainya ketersediaan obat yang baik serta mampu menjamin mutu obat. Penelitian ini bertujuan untuk mengetahui gambaran dan menganalisis terjadinya obat kadaluwarsa, obat rusak dan stock mati, sehingga dapat memberikan rekomendasi kebijakan untuk perbaikan pengelolaan obat.
Penelitian ini merupakan penelitian non-eksperimental bersifat deskriptif evaluatif dengan metode kuantitatif. Sampel yang digunakan yaitu seluruh obat tahun 2021. Hasil penelitian menunjukkan bahwa persentase obat kadaluwarsa di Puskesmas Narmada sebanyak 32,7%, obat rusak sebanyak 0% yang artinya tidak di temukan obat rusak, serta stock mati sebanyak 0,6%. Hal ini menyatakan bahwa persentase obat kadaluwarsa tidak sesuai dengan indikator yang ditetapkan yaitu <1%. Obat rusak dengan persentase 0% dan stock mati dengan persentase 0,6% yang artinya sesuai dengan indikator yang ditetapkan yaitu <1%.
Uji Sifat Fisik Sediaan Krim Body Scrub Dari Ekstrak Daun Bayam Merah (Amaranthus tricolor L.)
Authors: Ningsih Ade Irma Fitria , Sari Anggi Juita , Ifada Andy Susbandiyah 
Published: March 2024

Bayam merah mengandung vitamin C dan flavonoid sebagai antioksidan yang baik untuk kesehatan kulit. Tujuan dari penelitian ini adalah mengetahui Sifat Fisik Sediaan Krim Body Scrub dari Ekstrak Daun Bayam Merah (Amaranthus tricolor L.). Penelitian ini merupakan penelitian pra- eksperimental. Ekstrak daun bayam merah diperoleh dari serbuk bayam merah yang digunakan sebanyak 100 gram dengan pelarut 1000 mL etanol 70% dan mendapatkan hasil ektrak kental sebanyak 45 gram. Dalam penelitian ini menggunakan daun bayam merah yang di buat dengan konsentrasi ( 0,75%, 1% dan 1,25%) dengan melakukan uji sifat fisik seperti uji organoleptis, uji homogenitas, uji pH, uji daya lekat, uji daya sebar dan uji iritasi. Data yang di peroleh di analisis secara deskriftif. Hasil uji organoleptis sediaan krim body scrub ekstrak bayam merah pada formulasi 0,75%, 1%, 1,25% berturut-turut berwarna coklat muda dan coklat tua, tekstur ada partikel kasar scrub, dan untuk bau pada sediaan krim body scrub bayam merah berbau aroma khas bayam merah. Uji homogenitas sediaan krim body scrub ekstrak bayam merah pada formulasi 0,75%, 1%, dan 1,25% homogen atau komponen sediaan tercampur merata. Uji pH sediaan krim body scrub ekstrak bayam merah pada formulasi 0,75%, 1%, 1,25% dengan rerata berturut-turut 7,8, 7,7, dan 7,6 hal ini telah memenuhi standar penelitian yaitu berkisar 4,5-8,0. Uji daya lekat sediaan krim body scrub ekstrak bayam merah pada formulasi 0,75%, 1%, 1,25% berturut-turut dengan rerata 5,21, 6,66 dan 6,38 detik hal ini telah memenuhi standar karena diatas 4 detik. Uji daya sebar sediaan krim body scrub ekstrak bayam merah pada formulasi 0,75%, 1%, 1,25% berturut-turt dengan rerata 5,1 dan 5 cm hal ini telah memenuhi standar yaitu berkisar antara 5-7 cm. Uji iritasi sediaan krim body scrub ekstrak bayam merah pada formulasi 0,76%, 1%, dan 1,25% tidak terjadi iritasi dan gatal atau sesuai standar. Kesimpulan sediaan krim body scrub ekstrak daun bayam merah pada pengujian organoleptis, uji homogenitas, uji pH, daya sebar, uji iritasi dan uji daya lekat pada formulasi 0,75%, 1%, 1,25% telah memenuhi syarat sesuai standar penelitian.
Quasi-10 d wave activity in the southern high-latitude mesosphere and lower thermosphere (MLT) region and its relation to large-scale instability and gravity wave drag
Authors: Lee Wonseok , Song In-Sun , Song Byeong-Gwon , Kim Yong Ha 
Published: March 2024

Abstract. Seasonal variation in westward-propagating quasi-10 d waves (Q10DWs) in the mesosphere and lower thermosphere of the Southern Hemisphere (SH) high-latitude regions is investigated using meteor radar (MR) observations for the period of 2012–2016 and using the Specified Dynamics (SD) version of the Whole Atmosphere Community Climate Model (WACCM). The phase difference in meridional winds measured by two MRs located in Antarctica gives observational estimates of the amplitude and phase of the Q10DW with zonal wavenumber 1 (W1). The amplitude of the observed Q10DW-W1 is large around equinoxes. In order to elucidate the variations in the observed Q10DW-W1 and its possible amplification mechanism, we carry out two SD-WACCM experiments nudged towards the MERRA-2 reanalysis from the surface up to ∼ 60 km (EXP60) and ∼ 75 km (EXP75). Results of the EXP75 indicate that the observed Q10DW-W1 can be amplified around regions of barotropic and/or baroclinic instability in the middle mesosphere around 60–70° S. In the EXP60 experiment, it was also found that the Q10DW-W1 is amplified around the regions of instability, but the amplitude is too large compared to MR observations. The large-scale instability in the EXP60 in the SH summer mesosphere is stronger than that in the EXP75 and Microwave Limb Sounder observations. The larger instability in the EXP60 is related to the large meridional and vertical variations in polar mesospheric zonal winds in association with gravity wave parameterization (GWP). Given uncertainties inherent in GWP, these results can suggest that it is possible for models to spuriously generate traveling planetary waves such as the Q10DW, especially in summer, due to excessively strong large-scale instability in the SH high-latitude mesosphere.
Fjord circulation induced by melting icebergs
Authors: Hughes Kenneth G. 
Published: March 2024

Abstract. In an iceberg-choked fjord, meltwater can drive circulation. Down-fjord of the ice, buoyancy and rotation lead to an outflowing surface coastal current hugging one side of the fjord with an inflowing counter-current below. To predict the structure and evolution of these currents, we develop an analytical model – complemented by numerical simulations – that involves a rectangular fjord initially at rest. Specifically, we (i) start with the so-called Rossby adjustment problem; (ii) reconfigure it for a closed channel with stratification; and (iii) generalize the conventional “dam-break” scenario to a gradual-release one that mimics the continual, slow injection of meltwater. Implicit in this description is the result that circulation is mediated by internal Kelvin waves. The analytical model shows that if the total meltwater flux increases (e.g., a larger mélange, warmer water, or enhanced ice–ocean turbulence) then circulation strength increases as would be expected. For realistic parameters, a given meltwater flux induces an exchange flow that is ∼50 times larger. This factor decreases with increasing water column stratification and vice versa. Overall, this paper is a step toward making Greenland-wide predictions of fjord inflows and outflows induced by icebergs.
Improving Digital Satellite Image for security purposes
Authors: Hamdan Ali Huda 
Published: March 2024

Satellite imagery is employed in many different fields of study. These pictures have serious quality problems. Image enhancement algorithms, however, can improve it in terms of contrast, brightness, feature elimination from noise contents, etc. These algorithms present and analyse the picture's properties by sharpening, focusing, or smoothing the image. Therefore, the specific application determines the goal of picture enhancement. This paper briefly overviews picture enhancement methods that produce optimal and progressive outcomes for satellite images used for secured remote sensing. To do this, various image enhancement techniques are used, which are widely used today to improve image quality across various image processing applications. Some commonly used image enhancement techniques include spatial filtering, contrast stretching, and histogram equalisation. These techniques aim to enhance the visual quality of satellite images by adjusting brightness and contrast and reducing noise. These methods can also improve the interpretability of the images for remote sensing purposes. The enhancement of satellite images finds use in several fields, particularly security. It is essential for security applications, including threat detection, border control, and surveillance. Security professionals may more effectively analyse and understand data to spot any dangers or questionable activity by boosting the visual details and general quality.

Keywords: Satellite image analysis; mean filter; secured application; SVM; wavelet transformation
Assessment of the association of the rs12329760 polymorphism of the <i>TMPRSS2</i> gene with acute coronary syndrome in patients with new coronavirus infection
Authors: Kozik V. A. , Shpagina L. A. , Shpagin I. S. , Maksimova S. V. , Lozhkina N. G. , Maksimov V. N. 
Published: March 2024

Introduction. Cardiovascular diseases (СVD) rank first in terms of morbidity and mortality not only in the Russian Federation but throughout the world. Since the end of 2019 a pandemic of Severe Acute Respiratory Syndrome (SARS) or new coronavirus infection (NCI) has spread throughout the world, which contributed to the development and course of CVD. Therefore, genetic markers began to be considered as factors potentially influencing CVD, its development and severity. Objective: To evaluate the association of the nucleotide sequence variant rs12329760 of the TMPRSS2 gene with acute coronary syndrome in patients who have had a new coronavirus infection.Material and methods. The study included 100 patients (women – 50, men – 50) with ACS and previous NCI, who were selected on the basis of a positive PCR test for the presence of SARS-CoV-2 in the anamnesis, hospitalized at the regional vascular center No. 7 of the City Clinical Hospital No. 2 of the city of Novosibirsk. Women age was 59.5 ± 7.2 years, men age was 53.5 ± 9.3 years. The diagnosis of ACS was established according to a set of criteria proposed and established by the Russian Society of Cardiology and in accordance with the updated clinical recommendations of the Ministry of Health of the Russian Federation of 2020. Patients underwent clinical and instrumental examination, coronary angiography with possible stenting, as provided for in the standards of medical care and clinical guidelines. The nucleotide sequence variant rs12329760 of the TMPSS2 gene was determined in patients using PCR with further analysis of restriction fragment length polymorphism. The comparison group consisted of 200 patients with ACS without previous NCI (no positive PCR test, no positive antibodies).Results. Carriage of CC, СТ, TT, genotype variants of the nucleotide sequence rs12329760 of the TMPSS2 gene are not associated with an increased risk of developing ACS in patients with previous NCI. When comparing the frequencies of the rs12329760 genotypes of the TMPSS2 gene in groups with ACS with NCI and ACS without NCI, no statistically significant differences were obtained. In the group with ACS with NCI, carriage of the homozygous genotype was more common (p = 0.011).Conclusions. Variants of the nucleotide sequence rs12329760 of the TMPSS2 gene are not associated with ACS with previous NCI.
Heat Transfer of an Integrated Counterflow Ceramic Heat Exchanger
Authors: Yu Wenhua , France David M. , Erck Robert A. , Singh Dileep 
Published: March 2024

The ceramic-based heat exchanger is one of the leading contenders for high-efficiency concentrating solar power plants using a molten salt heat transfer fluid and a supercritical carbon dioxide Brayton power cycle operating at temperatures above 700 °C due to the excellent resistance of ceramics to corrosion, oxidation, erosion, creep, and fouling. In the present study, the thermal performance of a ceramic silicon carbide prototype heat exchanger, with semi-elliptical heat transfer channels, integrated header channels, and a counterflow configuration fabricated by using binder jetting additive manufacturing, was experimentally investigated. Experimental heat transfer tests of the prototype were conducted at high temperatures and under various test fluid flow rates and inlet temperatures. The experimental heat transfer rates compared favorably with simulation predictions.
Environmental decision support: rare events, monitoring and inversion, and uncertainty quantification
Authors: Jonathan Philip 
Published: March 2024

Environmental data science offers the opportunity to combine theory and measurement in characterising our natural environment rationally and quantitatively, to understand its evolution, and to take decisions regarding our interactions with it wisely in the presence of uncertainty. The practical challenge is to develop and adapt ideas from statistical theory and method to address complex problems in the natural environment in a physically realistic manner, creating useful tools to quantify risk, and support real-world decision making.Characterising rare events from observations is problematic by definition, since their rate of occurrence is low. In an environmental context, we discuss how extreme value theory is used to understand extreme ocean storms, floods, heat-waves and earthquakes. Practical application of extreme value methods numerous significant challenges, including the estimation of extreme value threshold, non-stationarity with respect to multiple covariates, and reliable characterisation of extremal dependence. These challenges become ever more acute as the numbers of responses and covariates increase. Given observational data for thousands of variables of interest in some applications, the computational complexity of extreme value analysis is enormous.Remote sensing technologies including satellite, airborne, line-of-site and point) provide observations of the earth’s atmosphere and surface at different scales and resolutions. We discuss how these data sources are used in statistical models to detect, locate and quantify sources of natural and manmade methane and carbon dioxide emissions into the atmosphere, and to monitor atmospheric concentrations within specific domains.Bayesian inference provides a natural framework for learning about large-scale physical systems, to quantify uncertainty in predictions regarding those systems, and to facilitate optimal decision-making. We discuss how the computational complexity of practical inference is managed by the adoption of suitable modelling frameworks and efficient numerical schemes.
The Air-Conditioning Paradox: Protecting Vulnerable Populations from Extreme Heat
Authors: Sanders Kelly Twomey 
Published: March 2024

Over 50% of people worldwide live in urban areas, and by 2050 this fraction is expected to increase to 70%. Meanwhile, extreme heat events are increasing in frequency and intensity, posing a human health risk for urbanites. As extreme heat is the leading cause of weather-related fatalities, research that helps identify the populations that are most vulnerable to extreme heat is urgently needed. While access to air conditioning (AC) is one of the most important adaptive technologies to protect people from heat, AC usage requires vast amounts of electricity that can exacerbate warming, both locally and globally, creating a policy paradox. We also have a very limited understanding of trends in AC access and usage, making it difficult to reach the most populations most vulnerable to extreme heat. This presentation will describe a body of work dedicated to building a more quantitative understanding of heat vulnerabilities across the Southern California region via novel methods of estimating AC penetration rates and anthropogenic heat.
Modelling and Controlling Turbulent Flows through Deep Learning
Authors: Vinuesa Ricardo 
Published: March 2024

The advent of new powerful deep neural networks (DNNs) has fostered their application in a wide range of research areas, including more recently in fluid mechanics. In this presentation, we will cover some of the fundamentals of deep learning applied to computational fluid dynamics (CFD). Furthermore, we explore the capabilities of DNNs to perform various predictions in turbulent flows: we will use convolutional neural networks (CNNs) for non-intrusive sensing, i.e. to predict the flow in a turbulent open channel based on quantities measured at the wall. We show that it is possible to obtain very good flow predictions, outperforming traditional linear models, and we showcase the potential of transfer learning between friction Reynolds numbers of 180 and 550.
We also discuss other modelling methods based on autoencoders (AEs) and generative adversarial networks (GANs), and we present results of deep-reinforcement-learning-based flow control.