bluuebunny/crossref_metadata_2025 huggingface dataset:
Tissue expression analysis of cervical mucus proteome
Authors:   Department of Obstetrics and Gynecology, Faculty of Medicine, Palacky University and University Hospital Olomouc, Czech Republic, Vodička Jan , Dostál Jiří , Holub Dušan , Pilka Radovan , Džubák Petr , Hajdúch Marián , Oždian Tomáš
Published: March 2023

Cervical mucus is a viscous fluid functioning as a cervix plug. Products of the endometrial and cervical glands can be detected in the cervical mucus. Cervical mucus is further enriched with transudate originating from the fallopian tubes and proteins originating from the ovaries, peritoneum and distant tissues. With increasing levels of ovarian estrogens, the properties of cervical mucus for possible collection and processing change appropriately. For these reasons, we chose a group of 10 patients treated in the center of assisted reproduction by controlled ovarian stimulation for in vitro fertilization. This study focuses on the proteomic characterization of cervical mucus and localizes the possible sources of the identified proteins. The most abundant proteins were extracellular proteins, mainly mucins; however, most of the identified proteins, present usually in lower quantities, were of intracellular origin. The tissue analysis revealed that proteins from female reproductive organs are also expressed in other tissues in addition to female reproductive organs, but also proteins specific to the testis, liver, placenta, retina, and cerebellum. This study confirms the suitability and high potential of cervical mucus as a source of proteomic bio markers not only for the diagnosis of the female reproductive tract. Key words: cervical mucus – proteomics – tissue expression
A Comparative Study to Assess the Effectiveness of Moist Ice Pack versus Warm Glycerin Magnesium-Sulphate Application in Reduction of Pain among Patients with IV Infusion
Authors: Mr. Parashram  , Prof.  Dr. Madhusoodan  , Mrs. Kranti Devi  , Mr. Yogesh Panchal  , Mr. Lavin Masih  , Mrs. Neha Kidder
Published: March 2023

The intravenous infusion is an important aspect of therapy under both medical and surgical conditions. Physiologic homeostasis with in the body requires the presence of an adequate supply of fluids. The fluids circulating the body are composed of water, electrolytes, minerals and cells. Their imbalances may result from many factors like injury, surgery and different kinds of medical illnesses. These imbalances can be corrected by intravenous therapy. Intravenous therapy has become a life-saving as well as life sustaining therapy and the intravenous therapy is increasingly being performed by nursing staff in hospitals. Nurses spend upto 2/3rd of their time for IV therapy related responsibilities. Therefore, initiating IV infusion is a challenging skill in nursing.
The Wind River Scribe: Grace Darling Wetherbee Coolidge and Her Teepee Neighbors
Authors: Lewandowski Tadeusz
Published: March 2023

Grace Darling Wetherbee Coolidge’s 1917 book Teepee Neighbors is a little-known collection of twenty-nine sketches of Indian life on the Wind River Reservation, Wyoming, where she worked as a missionary from 1902 to 1910. Only recently have Coolidge’s personal papers been made publicly available by the Pioneers Museum in Colorado Springs, Colorado, allowing scholars to investigate the true contours of her life for the first time. These primary source materials shed new light on a woman who—though born to great privilege in New York City—rejected a life of leisure and wealth in favor of a subsistence existence on a remote Indian reservation, devoted to charitable acts. This paper offers the first accurate essay-length biographical treatment of Grace Coolidge. It as well analyzes selections of her Teepee Neighbors as an attempt to generate sympathy among white readers for a colonized people, the Arapaho, and to offer a critique of Euro-American society from the standpoint of the communal Indian values she encountered at Wind River. Coolidge’s project, however, is ultimately hampered by her own ethnocentrism and admitted inability to understand Indian cultures.
The association of left atrial mechanics with left ventricular morphology in patients with hypertrophic cardiomyopathy:
a cardiac magnetic resonance study
Authors: Guler Arda , Topel Cagdas , Sahin Ahmet Anil , Aydın Sinem , Guler Ekrem , Sancar Kadriye Memic , Cansever Aysel Turkvatan , Guler Gamze Babur , Erturk Mehmet
Published: March 2023

Introduction

Hypertrophic cardiomyopathy (HCM) is related with structural and pathologic changes in the left atrium (LA) and left ventricle (LV). The aim of this study was to explore the association between LA mechanics and LV characteristics in patients with HCM using cardiac magnetic resonance feature tracking (CMR-FT).

Material and methods

A total of 76 patients with HCM and 26 healthy controls were included in the study. The parameters including the extent of LV late gadolinium enhancement (LGE-%) and the LV early diastolic longitudinal strain rate (edLSR) were assessed for LV. LA conduit, booster, and reservoir functions were assessed by LA fractional volumes and strain analyses using CMR-FT. HCM patients were classified as HCM patients without LGE, with mild LGE-% (0% < LGE-%  10%), and prominent LGE-% (10% < LGE-%).

Results

HCM patients had worse LA functions compared with the controls (p < 0.05). The majority of LA functional indices were more impaired in HCM patients with regard to LGE. LA volumes were higher in HCM patients with prominent LGE-% compared with HCM patients with mild LGE-% (p < 0.05). However, only a minority of LA functional parameters differed between the 2 groups. LA strain parameters showed weak to modest correlations with LV LGE-% and LV edLSR.

Conclusions

LV characteristics, to some extent, influence LA mechanics, but they might not be the only factor inducing LA dysfunction in patients with HCM.
A teoria do individualismo cooperativo de Robert Owen
Authors: Vianna Lopes Julio Aurelio
Published: March 2023

Além de ativo utopista (da filantropia econômica à militância política), Robert Owen (1771-1858) também foi um dos precursores da teoria social, nomeadamente sobre a modernidade e sob a emergente questão social concomitante à Revolução Industrial britânica. Neste sentido, o artigo resgata sua elaboração teórica sobre a sociedade, em geral e da modernidade, em particular, à medida que suas principais obras são permeadas por uma concepção tão individualista quanto cooperativa do cálculo racional que atribuía ao indivíduo moderno e na qual tendências iluministas e românticas se cruzavam, ao invés de se oporem.
Enfrentando el COVID-19: estudio comparativo sobre el comportamiento social de las personas de origen dominicano que viven en los Estados Unidos de América
Authors: Hernández Ramona , Ortega Pedro Jose , Sohler Nancy , Marrara Sarah
Published: March 2023

Este estudio se deriva de una encuesta basada en una muestra probabilística de 794 personas y representativa de mayores de 18 años, de origen dominicano, residentes en los siete estados donde habita aproximadamente el 85 % de los dominicanos que viven en EE. UU.: Nueva York, Nueva Jersey, Florida, Massachusetts, Pensilvania, Rhode Island y Connecticut. Los resultados estadísticos revelados en este artículo versan sobre tres aspectos sobre las personas de origen dominicano que residen en los EE. UU. durante la pandemia del SARS-CoV-2 virus o COVID-19: a) la incidencia del virus y la propensión a cumplir con las normas establecidas por las autoridades de salubridad; b) el estrés sufrido ante el temor, el confinamiento y el control social; y c) la evidencia de un cambio generacional expresado en el uso de medios de comunicación y redes sociales para recibir información sobre el virus y el estado nacional de salubridad. Este estudio es el primero en su género en desagregar a las personas de origen dominicano en los EE. UU. y analizar cómo se han visto afectadas por la pandemia del COVID-19. La población objeto de estudio fue entrevistada entre el 5 de octubre y el 11 de noviembre de 2021.
Instagram, Duygu Karmaşası ve Aleksitimi
Authors: ŞİŞMAN BAL Simge , TAŞCI Asiye , ALPTEKİN Simay , AKÇEŞME Bahadır
Published: March 2023

Günümüzde en çok kullanılan sosyal ağ platformlarından biri olan Instagram uygulamasında kullanıcılar, çok kısa bir süre içerisinde art arda olumlu ve olumsuz duygu içerikli paylaşımlara maruz kalabilmektedir. Bunun sonucunda, bireylerde bir duygu karmaşası oluşabileceği ve aleksitimi durumuna benzer şekilde duygu tanıma ve ifade etmede zorluklar yaşanabileceği düşünülmektedir. Bu düşünceyi test etmek amacıyla, Toronto Aleksitimi Ölçeği (TAÖ-20)’nden aldıkları puanlara göre düşük (n=16) ve yüksek (n=16) aleksitimik olarak ayrılan 32 üniversite öğrencisine, olumlu-olumsuz fotoğraflardan oluşan ve Instagram formatında hazırlanan bir uyaran sunumu gösterilmiş ve sonrasında katılımcılardan kendilerini nasıl hissettiklerine dair bir duygu değerlendirmesi yapmaları istenmiştir. Uyaran sunumu öncesinde katılımcılara Beck Depresyon Envanteri, Durumluk-Sürekli Kaygı Envanteri, Pozitif ve Negatif Duygu Ölçeği, Gözlerden Zihin Okuma Testi, Empatik Eğilim Ölçeği ve Stroop Testi uygulanmıştır. Elde edilen bulgular, sunum öncesinde düşük aleksitimik özellikler sergileyen katılımcıların, Instagram formatlı sunum sonrasında yüksek aleksitimi grubundaki katılımcılar kadar duygularını değerlendirmede zorlandıklarını, grupların duygu değerlendirmelerinin farklılaşmadığını ve her iki grubun da benzer şekilde duygu karmaşası yaşayarak duygu tanıma ve adlanlandırmada güçlük çektiğini göstermiştir. Ayrıca, literatürle uyumlu olarak yüksek aleksitimi grubu, daha yüksek bir depresyon ve kaygı düzeyi ile daha düşük bir empati düzeyi sergilemiştir. İleride yürütülecek kontrollü deneysel çalışmalarla, Instagram uygulamasında sürekli bir akış halinde olumlu ve olumsuz paylaşımlara maruz kalmaya bağlı olarak ortaya çıkabilecek duygu karmaşası ve aleksitimik özelliklerin, günlük yaşam aktiviteleri ile bilişsel işlevleri nasıl etkilediği incelenmelidir. Uzun süre ya da sık aralıklarla varlık gösteren duygu karmaşası, bireylerin aleksitimik bir duygudurum içerisine girmesine sebep olarak aleksitiminin eşlik ettiği pek çok psikiyatrik veya fiziksel hastalık için risk teşkil ediyor olabilir.
PENGOLAHAN LIMBAH KULIT KAKAO DAN KEMIRI PADA PEMBUATAN BIOPELET SEBAGAI BAHAN BAKAR ALTERNATIF
Authors: Purwandari Vivi , Harahap Mahyuni , Zai Liver , Arya Mubarakh Muhammad
Published: March 2023

The amount of fuel reserves were getting depleted and has created problems with the occurrence of a fuel crisis, which has resulted in higher prices and the economy of the community has been down. Biomass is a renewable alternative fuel source but still has weaknesses, like high water content, low calorific value and low density and the combustion process requires high temperatures. To overcome this problem, biomass can be processed into biopellets with the aim of increasing its density and increasing the quality of combustion. The research was about the processing of cocoa and candlenut shell waste as an alternative fuel in the manufacture of biopellets using tapioca adhesive. The stages of this research include the preparation of raw materials for cocoa shells and candlenut shells ground to a size of 60 mesh and then added with various adhesives of 5%, 10% and 15%, then printed manually and dried in an oven with a temperature of 60oC for ±3 hours. Furthermore, the biopellets were characterized based on the provisions of SNI 8021:2014 which included density, moisture content, ash content, volatile matter, fixed carbon, calorific value with the most optimum values, respectively, 1.02 g/cm3, 3.14%, 6 ,25%, 64.56%, 26.05% and 4145.6 cal/g. Biopellets were also tested for effectiveness such as fracture strength and combustion rates with values of 0.14% and 0.11 g/min, respectively. Biopellet with the best quality was found in the type of biopellet with a mixture of raw materials 2:1 and using 10% tapioca adhesive.
MODIFIKASI JERAMI PADI/BATANG PISANG/PP/PP-g-MAH APLIKASI PAPAN PARTIKEL (PARTICLE BOARD)
Authors: Adiansyah  , Sijabat Salomo , Dabukke Hotromasari , Aulia Putri
Published: March 2023

Telah dilakukan penelitian optimasi pencampuran jerami padi/batang pisang/Polipropilena/polipropilena-grafthing-maleat anhidrat aplikasi papan partikel (particle board) dalam pencampuran tersebut menggunakan PP-g-Mah sebagai bahan perekat dari hasil yang diperoleh ditemukan permukaan yang lebih homogen pada variasi yang optimum (70:40:10:30) dengan berbagai variasi konsentrasi. Permukaan yang lebih homogen memberikan gambaran hasil yang lebih baik dan berbanding lurus dengan peningkatan sifat mekanik yang diperoleh hasil tersebut juga dapat dilihat pada munculnya puncak (C-H bending)  pada panjang gelombang (1453,7 cm).
EFFECTS OF ADDITIONAL KINESIOLOGICAL OPERATORS ON THE SPEED PROPERTIES OF ATHLETES IN SPORTS OF MONOSTRUCURAL AND POLYSTRUCTURAL TYPE
Authors: Pavlinović Mladen , Goletić Eldar , Hodžić Sanjin , Jovanović Dragiša , Goletić Lejla
Published: March 2023

The research was conducted on a sample of athletes aged 13-15 from BiH, namely 60 athletes and 60 karate players. The
participants were divided into groups consisting of 30 athletes and karate athletes. Experimental groups of athletes, in
addition to regular training operators, had additional operators, while the control group of athletes and the control group
of karate players performed the training process by practicing regular kinesiological operators. A set of nine variables was
used to evaluate the speed properties of the investigated sample of athletes. The assessment of segmental velocity was
carried out with three common variables, speed in athletes with three variables characteristic of speed assessment for
athletes and speed in karate players with three variables specific to the assessment of speed in karate players.
Therefore, the main objective of this research is to determine the effects of the application of additional training operators
on the rapid properties of athletes in sports of monostructural and polystructural type. The program of additional
kinesiology operators was implemented within five training units during the weekly microcycle. The treated speed
properties of athletes in a period of six months, which in addition to the basic program include the program of additional
training operators, progressed significantly faster and better within the experimental treatment. Also, positive effects were
achieved by applying the basic program in the control sample, but on a somewhat smaller scale. From a kinesiological-
methodical point of view, the applied experimental treatment indicates the fact that it has largely contributed to positive
effects in the experimental group of athletes in relation to the control group. It is also evident that in both groups of
karate players there are positive changes in velocity properties. However, the experimental group sees a significantly better
transformation of certain anthropological features compared to the control group. These facts suggest that the
application of additional kinesiological operators in the experimental group produced greater effects on the development
of rapid properties in the experimental karate team compared to the control group.
Keywords: Effects, kinesiological operators, speed properties, athletes.
STEM: Sarana Belajar Matematika dengan Menghayati dan Memahami
Authors: Suriyana Suriyana , Fatmawati Risdiana Andika , Fitriana Ika Sari
Published: March 2023

Kegiatan PKM di lakukan SMP Negeri 2 Rasau Jaya  Kegiatan dilaksanakan di Aula  SMP Negeri 2 Rasau Jaya. Kegiatan yang dilaksanakan meliputi workshop STEM: Sarana Belajar Matematika dengan Menghayati dan Memahami. Tujuan pengabdian ini adalah untuk meningkatkan pengetahuan guru dan model pembelajaran yang tepat sesuai gaya belajar peserta didik. Pengabddian ini dilakukan tiga tahapan yaitu tahapa persiapan, kegiatan Workshop dan tanya jawab.  Adapun hasil kegiatan Workshop STEM: Sarana Belajar Matematika dengan Menghayati dan Memahami Meningkatkan kompetensi guru dalam menyiapkan media pembelajaran, Terfasilitasinya perolehan deskripsi bahwa sekolah sekolah di kubu raya belum memahami model pembelajaran STEM khususnya di SMP N 2 Rasau Jaya. Dengan adanya program pengabdian masyarakat yang berupa whorkshop tentang STEM: Saran Belajar Matematika dengan Menghayti dan Memahami untuk meningkatkan pengetahuan guru dan model pembelajaran yang tepat sesuai gaya belajar peserta didik.  whorkshop Lebih jauh, berdampak pada peningkatan kesadaran pendidikan khususnya pada guru guru sekolah SMP N 2 Rasau Jaya agar mampu meningkatkan model-model pembelajaran untutk menunjang menciptakan pembelajaran belajar matematika yang inovatif. dan UNU Kalbar, khususnya FKIP dan prodi-prodinya semakin dikenal sebagai institusi yang mempunyai kepedulian terhadap permasalahan masyarakat khususnya guru.
Peningkatan Pengetahuan Remaja Puteri Tentang Anemiadi Panti Asuhan Al Islam, Babarsari, Sleman Yogyakarta
Authors: Istanti Novi , Aisyah Salim Nasiatul , Nurwidi Antara Antok
Published: March 2023

Salah satu masalah yang dihadapi remaja Indonesia adalah masalah gizi mikronutrient yaitu sekitar 12% remaja laki – laki dan 23% remaja perempuan mengalami anemia yang sebagian besar diakibatkan kekurangan zat besi (anemia defisiensi besi). Secara khusus, anemia yang dialami oleh remaja putri akan berdampak lebih sering mengingat remaja putri adalah para calon ibu yang akan hamil dan melahirkan seorang bayi sehingga memperbesar resiko kematian ibu melahirkan, bayi lahir prematur dan berat bayi lahir rendah (Kemenkes, 2018). Oleh karena itu, remaja putri perlu dibekali dengan pengetahuan tentang anemia defisiensi besi. Kelompok sasaran untuk kegiatan pengebmas ini adalah remaja putri SMA kelas 1-3 di Panti Asuhan Al islam, Babarsari, Sleman, Yogyakarta. Responden dalam kegiatan ini berjumlah 18 orang. Metode pengabdian yang dilakukan adalah pre test – penyuluhan – post test. Materi yang diberikan tentang cara pencegahan dan mengatasi anemia  pada remaja. Hasil pengabdian menunjukkan bahwa ada perbedaan pengetahuan remaja sebelum dan setelah diberikan penyuluhan yaitu terjadi peningkatan pengetahuan. Dengan peningkatan pengetahuan ini diharapkan dapat menerapkan cara mencegah anemia agar terhindar dari anemia.
Manajemen Pelayanan di Daerah 3T (Terdepan, Terpencil dan Tertinggal) di Kabupaten Nunukan Provinsi Kalimantan Utara
Authors: Herlawan Herlawan , Simangunsong Fernandes
Published: March 2023

Penelitian ini bertujuan untuk mengetahui dan menganalisis manajemen pelayanan di daerah 3T (terdepan, terpencil, dan tertinggal), mengetahui dan menganalisis faktor-faktor pendukung dan penghambat manajemen pelayanan di daerah 3T (terdepan, terpencil, dan tertinggal), mengetahui dan menganalisis upaya mengatasi faktor-faktor penghambat manajemen pelayanan di daerah 3T (terdepan, terpencil, dan tertinggal) di Kabupaten Nunukan Provinsi Kalimantan Utara. Penelitian ini menggunakan motede kualitatif dengan teknik pengumpulan data menggunakan Teknik wawancara, observasi, dan dokumentasi. Data hasil penelitian dianalisis dengan menggunakan analisis kualitatif. Hasil penelitian menunjukkan bahwa manajemen pelayanan di daerah 3T (terdepan, terpencil dan tertinggal) di Kabupaten Nunukan Provinsi Kalimantan Utara belum sepenuhnya berjalan dengan baik, seperti yang diketahui permasalahan yang kompleks di daerah perbatasan membuat pemerintah daerah belum bisa melaksanakan tugas pelayanan yang baik. Aspek seperti letak geografis wilayah yang sulit sehingga susah di akses, keterbatasan anggaran, keterbatasan sumber daya manusia menjadi faktor penyebabnya. Meskipun hal tersebut pemerintah daerah selalu berupaya untuk melayani masyarakat dengan baik.
Evaluation of semen parameters from Fleckvieh–Simmental bulls and the influence of age and season of collection
Authors: Filipčík Radek , Rečková Zuzana , Pešan Vojtěch , Konoval Oleksandra , Kopec Tomáš
Published: March 2023

Abstract. The aim of this paper was to evaluate semen parameters from Czech Fleckvieh
(dual-purpose breed) bulls used in artificial insemination in the Fleckvieh
population. The ejaculate was collected from bulls only once a week, which is
not usual. Respectively, the effects of age and season of collection on semen
parameters were tested. The average volume of ejaculate by Fleckvieh bulls
was 8.72 mL, which is higher than results in studies of bulls which were
collected usually more than once a week. The average total motility was 72.82 % and progressive motility was 67.99 %. Sperm concentration reached on
average 1254.10×106 mL−1. The total motility of spermatozoa after
thawing was 40.88 %. A significant influence of age was observed on
ejaculate volume, total and progressive motility, and total motility after
thawing (P<0.05). The season of collection had a significant influence on the
volume of ejaculate, total motility, progressive motility, concentration of
spermatozoa, and total count of spermatozoa (P<0.01).
Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange
Authors: Kämäräinen Matti , Tuovinen Juha-Pekka , Kulmala Markku , Mammarella Ivan , Aalto Juha , Vekuri Henriikka , Lohila Annalea , Lintunen Anna
Published: March 2023

Abstract. Accurate estimates of net ecosystem CO2 exchange
(NEE) would improve the understanding of natural carbon sources and sinks and
their role in the regulation of global atmospheric carbon. In this work, we
use and compare the random forest (RF) and the gradient boosting (GB)
machine learning (ML) methods for predicting year-round 6 h NEE over
1996–2018 in a pine-dominated boreal forest in southern Finland and analyze the
predictability of NEE. Additionally, aggregation to weekly NEE values was
applied to get information about longer term behavior of the method. The
meteorological ERA5 reanalysis variables were used as predictors. Spatial
and temporal neighborhood (predictor lagging) was used to provide the models
more data to learn from, which was found to improve considerably the
accuracy of both ML approaches compared to using only the nearest grid cell
and time step. Both ML methods can explain temporal variability of NEE in
the observational site of this study with meteorological predictors, but the
GB method was more accurate. Only minor signs of overfitting could be
detected for the GB algorithm when redundant variables were included.
The accuracy of the approaches, measured mainly using cross-validated
R2 score between the model result and the observed NEE, was high,
reaching a best estimate value of 0.92 for GB and 0.88 for RF. In addition
to the standard RF approach, we recommend using GB for modeling the CO2
fluxes of the ecosystems due to its potential for better performance.
A Modeling Approach to Investigate Drivers, Variability and Uncertainties in O2 Fluxes and the O2 : CO2 Exchange Ratios in a Temperate Forest
Authors: Yan Yuan , Klosterhalfen Anne , Moyano Fernando , Cuntz Matthias , Manning Andrew C. , Knohl Alexander
Published: March 2023

Abstract. The O2 : CO2 exchange ratio (ER) between terrestrial ecosystems and the atmosphere is a key parameter for partitioning global ocean and land carbon fluxes. The long-term terrestrial ER is considered to be close to 1.10 moles of O2 consumed per mole of CO2 produced. Due to the technical challenge in measuring directly the ER of entire terrestrial ecosystems (EReco), little is known about the variations in ER at the hourly and seasonal scales as well as how different components contribute to EReco. In this modeling study, we explore the variability and drivers of EReco and evaluate the hypothetical uncertainty in determining ecosystem O2 fluxes based on current instrument precision. We adapted the one-dimensional, multi-layer atmosphere-biosphere gas exchange model, CANVEG, to simulate hourly EReco from modeled O2 and CO2 fluxes in a temperate beech forest in Germany. We found that the annual mean EReco ranged from 1.06 to 1.12 mol mol-1 within the five years’ study period. Hourly EReco showed strong variations over diel and seasonal cycles and within the vertical canopy profile. Determination of ER from O2 and CO2 mole fractions in air above and within the canopy (ERconc) varied between 1.115 and 1.15 mol mol-1. CANVEG simulations also indicated that ecosystem O2 fluxes could be derived using the flux-gradient method in combination with measurements of vertical scalar gradients and CO2, sensible heat or latent heat fluxes obtained with the eddy covariance technique. Owing to measurement uncertainties, however, the uncertainty in estimated O2 fluxes derived with the flux-gradient approach could be as high as 15 μmol m-2 s-1, which represented the 90 % quantile of the uncertainty in hourly data with a high-accuracy instrument. We also demonstrated that O2 fluxes can be used to partition net CO2 exchange fluxes into their component fluxes of photosynthesis and respiration, if EReco is known. The uncertainty of the partitioned gross assimilation ranged from 1.43 to 4.88 μmol m-2 s-1 assuming a measurement uncertainty of 0.1 or 2.5 μmol m-2 s-1 for net ecosystem CO2 exchange and from 0.1 to 15 μmol m-2 s-1 for net ecosystem O2 exchange, respectively. Our analysis suggests that O2 measurements at ecosystem scale have the potential for partitioning net CO2 fluxes into their component fluxes, but further improvement in instrument precision is needed.
Reviews and syntheses: Recent advances in microwave remote sensing in support of arctic-boreal carbon cycle science
Authors: Mavrovic Alex , Sonnentag Oliver , Lemmetyinen Juha , Baltzer Jennifer , Kinnard Christophe , Roy Alexandre
Published: March 2023

Abstract. Spaceborne microwave remote sensing (300 MHz–100 GHz) provides a valuable method for characterizing environmental changes, especially in arctic-boreal regions (ABR) where ground observations are generally spatially and temporally scarce. Although direct measurements of carbon fluxes are not feasible, spaceborne microwave radiometers and radar can monitor various important surface and near-surface variables that affect carbon cycle processes such as respiratory carbon dioxide (CO2) fluxes, photosynthetic CO2 uptake, and processes related to net methane (CH4) exchange including CH4 production, transport, and consumption. Examples of such controls include soil moisture and temperature, surface freeze/thaw cycles, vegetation water storage, snowpack properties and land cover. Microwave remote sensing also provides a means for independent aboveground biomass estimates that can be used to estimate aboveground carbon stocks. The microwave data record spans multiple decades going back to the 1970s with frequent (daily to weekly) global coverage independent of atmospheric conditions and solar illumination. Collectively, these advantages hold substantial untapped potential to monitor and better understand carbon cycle processes across the ABR. Given rapid climate warming across the ABR and the associated carbon cycle feedbacks to the global climate system, this review argues for the importance of rapid integration of microwave information into ABR carbon cycle science.
Quantification of hydraulic trait control on plant hydrodynamics and risk of hydraulic failure within a demographic structured vegetation model in a tropical forest (FATES-HYDRO V1.0)
Authors: Xu Chonggang , Christoffersen Bradley , Robbins Zachary , Knox Ryan , Fisher Rosie A. , Chitra-Tarak Rutuja , Slot Martijn , Solander Kurt , Kueppers Lara , Koven Charles , McDowell Nate
Published: March 2023

Abstract. Vegetation plays a key role in the global carbon cycle and thus is an important component within Earth system models (ESMs) that project future climate. Many ESMs are adopting methods to trace the size and succession-stage-structure of plants within demographic models. These models make it feasible to conduct more realistic simulation of processes that control vegetation dynamics. Separately, increasing understanding of the ecophysiological processes governing plant water use, and the need to understand ecosystem responses to drought in particular, has led to the adoption of physical plant hydrodynamic schemes within ESMs. In this study, we report on a new hydrodynamics (HYDRO) model incorporated in the Functionally Assembled Terrestrial Ecosystem simulator (FATES). The size and canopy structured representation within FATES is able to simulate how plant size and hydraulic traits affect vegetation dynamics and carbon/water fluxes. To better understand this new model system and its functionality in tropical forest systems in particular, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We assembled observations of plant hydraulic traits for stomata, leaves, stems, and roots, and determined the best-fit statistical distribution for each trait. Our model analysis showed that the taper component determining hydraulic conductivity tapering from trunk to branch, the water potential leading to 50 % loss (P50) of stomatal conductance, the maximum hydraulic conductivity for the stem, and the fraction of total hydraulic resistance in the above ground section are the top 5 traits determining the simulated water potential and loss of conductivity for different plant organs. For the risk of hydraulic failure and potential tree mortality, we found that ensemble members with high risk of mortality generally have a higher taper exponent and a higher xylem conductivity, less negative P50 for stomata conductance, and more negative P50 for stem and transporting roots. We expect that our results will provide guidance on future modeling studies using plant hydrodynamic models to predict the forest responses to droughts, and future field campaigns that aim to better parameterize the plant hydrodynamic model.
Optimization and sophistication of the super-droplet method for ultrahigh resolution cloud simulations
Authors: Matsushima Toshiki , Nishizawa Seiya , Shima Shin-ichiro
Published: March 2023

Abstract. A particle-based cloud model was developed for ultrahigh-resolution numerical simulation of warm clouds. Simplified cloud microphysics schemes have already made meter-scale numerical experiments feasible; however, such schemes are based on empirical assumptions, and hence, they contain huge uncertainties. The super-droplet method (SDM) is promising for cloud microphysical process modeling; it is based on a particle-based approach and does not make any assumptions for the droplet size distributions. However, meter-scale numerical experiments using the SDM are not feasible even on the existing high-end supercomputers because of its high computational cost. In the present study, we optimized and sophisticated the SDM for ultrahigh resolution simulations. The contributions of our work are as follows: (1) The uniform sampling method is not suitable when dealing with a large number of super-droplets (SDs). Hence, we developed a new initialization method for sampling SDs from a real droplet population. These SDs can be used for simulating spatial resolutions between centimeter and meter scales. (2) We improved the SDM algorithm to achieve high performance by reducing data movement and simplifying loop bodies by applying the concept of effective resolution. The improved algorithms can be applied to Fujitsu A64FX processor, and most of them are also effective on other many-core CPUs and graphics processing units (GPUs). Warm bubble experiments revealed that the particle-steps per time for the improved algorithms is 57.6 times faster than those for the original SDM. In the case of shallow cumuli, the simulation times when using the new SDM with 64–128 SDs per cell are shorter than those for a bin method with 32 bins and are comparable to those for a two-moment bulk method. (3) Using supercomputer Fugaku, we demonstrated that a numerical experiment with 2 m resolution and 128 SDs per cell covering 13,8242 × 3,072 m3 domain is possible. The number of grids and SDs are 104 and 442 times, respectively, those of the current state-of-the-art experiment. Our numerical model exhibited perfect weak scaling up to 36,864 nodes, which account for 23 % of the total system. The simulation achieves 7.97 PFLOPS, 7.04 % of peak ratio for overall performance, and the simulation time for SDM is 2.86 × 1013 particle·steps/s. Several challenges, such as optimization for mixed-phase clouds, inclusion of terrain, and long-time integrations, still remain, and our study will also contribute toward solving them. The developed model enables us to study turbulence and microphysics processes over a wide range of scales using combinations of DNS, laboratory experiments, and field studies. We believe that our approach advances the scientific understanding of clouds and contributes to reducing the uncertainties of weather simulation and climate projection.
Temporal stability of long-term satellite and reanalysis products to monitor snow cover trends
Authors: Urraca Ruben , Gobron Nadine
Published: March 2023

Abstract. Monitoring snow cover to infer climate change impacts is now feasible using Earth observation data together with reanalysis products derived from Earth system models and data assimilation. Temporal stability becomes essential when these products are used to monitor snow cover changes over time. While the temporal stability of satellite products can be altered when multiple sensors are combined and due to the degradation and orbital drifts in each sensor, the stability of reanalysis datasets can be compromised when new observations are assimilated into the model. This study evaluates the stability of some of the longest satellite-based and reanalysis products (ERA5, 1950–2020, ERA5-Land, 1950–2020, and the National Oceanic and Atmospheric Administration Climate Data Record (NOAA CDR), 1966–2020) by using 527 ground stations as reference data (1950–2020). Stability is assessed with the time series of the annual bias in snow depth and snow cover duration of the products at the different stations. Reanalysis datasets face a trade-off between accuracy and stability when assimilating new data to improve their estimations. The assimilation of new observations in ERA5 improved its accuracy significantly during the recent years (2005–2020) but introduced three negative step discontinuities in 1977–1980, 1991–1992, and 2003–2004. By contrast, ERA5-Land is more stable because it does not assimilate snow observations directly, but this leads to worse accuracy despite having a finer spatial resolution. The NOAA CDR showed a positive artificial trend from around 1992 to 2015 during fall and winter that could be related to changes to the availability of satellite data. The magnitude of most of these artificial trends and/or discontinuities is larger than actual snow cover trends and the stability requirements of the Global Climate Observing System (GCOS). The use of these products in seasons and regions where artificial trends and discontinuities appear should be avoided. The study also updates snow trends (1955–2015) over local sites in the Northern Hemisphere (NH), corroborating the retreat of snow cover, driven mainly by an earlier melt and recently by a later snow onset. In warmer regions such as Europe, snow cover decrease is coincident with a decreasing snow depth due to less snowfall, while in drier regions such as Russia, earlier snowmelt occurs despite increased maximum seasonal snow depth.
Association between the sinus of Valsalva height and biometric parameters in patients with Marfan syndrome associated with aortic root aneurysm
Authors: Pidvalna Uliana , Beshley Dmytro , Mateshuk-Vatseba Lesya
Published: March 2023

Patients with Marfan syndrome and aortic root aneurysm require pre-surgical analysis of aortic root geometry for aortic reconstruction. The aim of this study is to perform the morphometric analysis of the sinus of Valsalva height and correlation between the former, age, weight, height, body mass index (BMI), and body surface area (BSA) in patients with Marfan syndrome and aortic root aneurysm. Data from 34 patients (28 men, 6 women) with Marfan syndrome and an ascending aortic diameter exceeding 45 cm were obtained using computed tomography angiography. Gender-based differences were observed in the height of the left aortic sinus – by 47.23% (36.47±12.48 mm in men against 24.77±4.26 mm in women, р=0.0003). In men, a strong direct correlation has been identified between height and the right aortic sinus height (r=+0.75, р<0.0001), the posterior aortic sinus height (r=+0.71, р<0.0001), and the left aortic sinus height (r=+0.75, р<0.0001). Moderate reverse correlation has been discovered between the sinus of Valsalva height and BMI. No correlations have been identified between weight, BSA and the sinus of Valsalva height (р>0.05). In women, a strong direct correlation (Pearson) has been identified between age and the right aortic sinus height (r=+0.84, p=0.04), between weight and the left aortic sinus (r=+0.73, p=0.04) and between BSA and the left aortic sinus (r=+0.73, р=0.04). Aortic sinus height in men increases with height and decreases with higher BMI and age. Weight and BSA do not affect the sinus of Valsalva height. In women, the sinus of Valsalva height is impacted by age, weight and BSA.
Identities and experiences of Anatomists
Authors: Smith Claire F , Boyton Lydia , Brassett Cecilia , Evans Darrell JR , Munro Ross , Finn Gabrielle M
Published: March 2023

delivering anatomical education designed to help prepare students in becoming safe and competent medical and allied healthcare practitioners. Despite the critical role that anatomists play in the early stages of student learning, little is known about the identity of anatomists, and how their journeys and experiences have shaped the ways they perceive and embody their role. The aim of this study was to provide anatomists with a reference to take comfort in the shared experiences of other anatomists, to provide individuals and managers with real-life situations that anatomists may come across in their career, and to generate a sense of belonging within the anatomy community. Through a survey data collected from 161 anatomists, it includes demographic characteristics, access to training and support provision, and availability of network and career opportunities. In addition, information was collected that focussed on aspects of wellbeing and lived personal experience in the workplace. The results of this study provide significant evidence for the need to develop a more inclusive, diverse, and supportive environment for anatomists in both the work place as well as within professional societies and at conferences. Self-identifying female anatomists experience more discrimination overall (p=<0.01), with specific elements such as barriers to career progression (p=0.004) and work-related mental health issues (p=0.02). Individuals, teams and managers have a distinct role to play in ensuring that everyone can work and thrive in a culturally safe work environment.
PHYTOACCUMULATION OF HEAVY METALS IN AN OIL-SPIKED SOIL BY Vernonia amygdalina AFTER EXPOSURE TO SODIUM AZIDE SOLUTIONS
Authors: SHITTU H. O. , IKHAJIAGBE B.
Published: March 2023

This study investigated the effects of sodium azide pre-treatment of Vernonia amygdalina stem cuttings on the bioaccumulation of heavy metals in a waste engine oil-contaminated soil. Top soil was collected and sun-dried to constant weight. Soil was then mixed thoroughly with waste engine oil (WEO) on weight basis, to obtain a constant 4% w/w concentration. Soils were then left to attenuate for 1 week (WAP). Sodium azide solution was prepared to obtain concentrations of 0.125, 2.50 and 5.00 % w/v respectively. The control solution was distilled water. At 1 WAP, equally-cut stem cuttings of Vernonia amygdalina that had originally been entirely immersed in sodium azide solutions for one hour were transferred into the oil-polluted soil. Results showed that at 150 days after sowing, pretreatment of stem cuttings with azide had significant impact on plant growth development with respect to height (58.0 – 78.4 cm) and chlorophyll index, which ranged from 16.8 – 24.3 CCI in the oil polluted soil, compared to 17.8 CCI in the control. Although Cr, V, Mn and Cu were never detected in the plant leaves and stems, Pb and Ni were both detected in treated plants. The 5% NaN3-treated plant accumulated 13.80 mg/kg of Pb and 0.32 mg/kg of Ni in the leaves, as well as 13.84 mg/kg of Pb and 3.98 mg/kg of Ni in the stems. Upon pretreatment with azide, V. amygdalina significantly bioaccumulated Ni, compared to other metals.
Determinants of Neighborhood References, and Environmental Stimuli on Purchasing Decisions for Halal Products for Consumers
Authors: Haerdiansyah Syahnur Muh. , Bahari Andi Faisal
Published: March 2023

This study aims to determine the effect of surrounding reference variables, namely (product, service, and brand image) and Environmental Stimuli, on purchasing decisions. This research approach uses quantitative research. The data used in this study are primary data obtained from questionnaires and secondary data. This research was conducted at Chocholicious Cake Shop Makassar City. The population in the study used the Infinite population, with a sample size of 200 respondents / people in Makassar City. Data analysis using validity test, reliability test, R-Square test, F-Square test, direct effect test, and hypothesis submission using Partial Least Square. The results of this study indicate that the variables in the surrounding reference have a positive and significant effect on the consumer purchasing decision variable; Ambient references are factors around consumers that can influence their perceptions and purchasing decisions. Which means that factors such as recommendations from friends and family, public opinion, and advertising can influence consumer purchasing decisions. Likewise, the environmental stimuli variable has a positive and significant effect on consumer purchasing decisions. Environmental stimuli are factors around consumers that can influence their perceptions and purchasing decisions, which means that factors such as store layout, product design, store atmosphere, etc. can influence consumers' purchasing decisions.
La ausencia de negociación en la contratación digital a propósito del Reglamento (UE) 2019/1150, de 20 de junio, sobre el fomento de la equidad y la transparencia para los usuarios profesionales de servicios de intermediación en línea
Authors: Albiez Dohrmann Klaus Jochen
Published: March 2023

Se examina en el presente trabajo la contratación entre plataformas y usuarios profesionales según el Reglamento (UE) 2019/1150, de 20 de junio, en particular el significado de las condiciones generales de acuerdo con la definición dada en el artículo 2.10.
Financial Forecasting Method for Generative Adversarial Networks based on Multi-model Fusion
Authors: Pei-Guang Lin Pei-Guang Lin , Pei-Guang Lin Qing-Tao Li , Qing-Tao Li Jia-Qian Zhou , Jia-Qian Zhou Ji-Hou Wang , Ji-Hou Wang Mu-Wei Jian , Mu-Wei Jian Chen Zhang
Published: March 2023

 To some extent, stock prices can reflect national economic development and residents’ living standards. However, current stock forecasts are mainly analyzed using the stock’s own price. It is found that the exchange rate and technical indicators are closely related to the fluctuations of stocks and stock indexes. In this study, a generative adversarial network (GAN) financial forecasting method based on multi-model fusion is proposed, which introduces the exchange rate and technical indexes of stock and stock index into the input data, and combines the characteristics of its own highest and lowest price, the closing price of stock or stock index is predicted by using the generated antagonistic network. The methods are as follows: firstly, the exchange rate features are de-noised by wavelet transform technology, the overall trend of exchange rate features is extracted, and the dimensionality of technical indicators is reduced by Principal Component Analysis (PCA). Then, a convolutional neural network (CNN) is used in the generator to extract the local features of the input data, and the attention mechanism is used to improve the prediction effect of the model. Finally, the prediction was made by long short-term memory network (LSTM). Convolutional neural network and multilayer fully connected neural network are used in the discriminant, and gelu is used as activation function in the hidden layer. This study selects the data of Zhuhai Port (000507.SZ), Xiamen International Trade (600755.SH), Orient Venture (600278.SH) and Shanghai Stock Exchange Index (SSE, 000001.SH) in the export industry from January 1, 2013 to December 31, 2019 as the experimental data set. The exchange rate price between RMB and US dollar at the corresponding time is selected as the exchange rate feature. Compared with the best in-depth learning financial prediction comparison model, the results show that the generation confrontation network proposed in this paper has improved by 3% to 15% in each experimental data set.

 
Violation Behavior Detection for Non-motor Vehicles
Authors: Wei-Yi Jing Wei-Yi Jing , Wei-Yi Jing Zhong-Jie Zhu , Zhong-Jie Zhu Yong-Qiang Bai , Yong-Qiang Bai Long Li , Long Li Wei-Feng Cui , Wei-Feng Cui Wen-Bo Yu
Published: March 2023

Non-motor vehicles are widely used in the urban and rural transportation system for their portability, but the related violations also occur frequently and are difficult to be supervised intelligently, considering their colossal quantity, various styles, and small volumes. To solve this problem, this paper presents a non-motor vehicle violation detection algorithm with efficient target detection and deliberate logical calculation. A target detection network with high speed and accuracy is constructed firstly by fusing two different types of attention mechanism. Specifically, the Squeeze-and-Excitation Network is employed to optimize the extraction of local features, which can effectively reduce the error rate of target detection. Meanwhile, the Transformer Network is adopted to strengthen the extraction of global features, which can improve the target location performance for target tracking in high-density scenarios. As the global and local features are integrated with attention mechanism, the proposed network can accurately identify and locate the numerous small targets in real-time, and avoid identity switching caused by target occlusion. Finally, the violation of non-motor vehicles is recognized in real-time by constructing the logical calculation between the target features and their motion trajectories. Experiments on datasets show that the detection accuracy of the proposed algorithm is better than the current mainstream algorithms, especially the accuracy of small targets such as Head and Helmet is higher than 92.2%. And our ID Switch is dropped by more than 60% compared with the classical Deep SORT algorithm. In real-life scenarios, the proposed algorithm also shows excellent accuracy and real-time performance for non-motor vehicle violations.

 
PERANAN PEMBELAJARAN BERBASIS MASALAH TERKAIT TEMA MAKANAN TERHADAP SIKAP SAINS SISWA
Authors: Sujana Atep
Published: March 2023

The aim of this study is to determine the effect of problem-based learning on student’s science attitudes related to food theme’s. The method used is quasi experiment with pretest-posttest design. Subjects in the study were the students of grade V elementary school in Sumedang, amounting to 44 people and 15 classroom teachers. The instruments used consist of attitude scales, questionnaires, and interviews provided before and after problem-based learning. The results showed that there was an increase in student’s science attitude after learning, which can be seen from the increase of the average score of student’s science attitude from 82.00 to 83.4.Keywords: student’s science attitude, food, problem-based learning.