bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully spherical 3D datasets on sedimentary particles: Fast measurement and evaluation
Authors: Fehér Eszter , Havasi-Tóth Balázs , Ludmány Balázs 
Published: September 2022

AbstractRecently it became increasingly evident that the statistical distributions of size and shape descriptors of sedimentary particles reveal crucial information on their evolution and may even carry the fingerprints of their provenance as fragments. However, to unlock this trove of information, measurement of traditional geophysical shape descriptors (mostly detectable on 2D projections) is not sufficient; fully spherical 3D imaging and mathematical algorithms suitable to extract new types of inherently 3D shape descriptors are necessary. Available 3D imaging technologies force users to choose either speed or full sphericity. Only partial morphological information can be extracted in the absence of the latter (e.g., LIDAR imaging). In the case of fully spherical imaging, speed was proved to be prohibitive for obtaining meaningful statistical samples, and inherently 3D shape descriptors were not extracted. Here we present a new method by complementing a commercial, portable 3D scanner with simple hardware to quickly obtain fully spherical 3D datasets from large collections of sedimentary particles. We also present software for the automated extraction of 3D shapes and automated measurement of inherently 3D-shape properties. This technique allows for examining large samples without the need for transportation or storage of the samples, and it may also facilitate the collaboration of geographically distant research groups. We validated our software on a large sample of pebbles by comparing previously hand-measured parameters with the results of automated shape analysis. We also tested our hardware and software tools on a large pebble sample in Kawakawa Bay, New Zealand.
KOMPOSISI KIMIA IKAN GULAMAH (Pseudocienna Amovensis) ASIN KERING DENGAN PERBEDAAN KADAR GARAM
Authors: Sirait Jaulim , Sipahutar Yuliati H , Yuniarti Tatty , Maulani Aghitia , Bertiantono Anugrah 
Published: September 2022

Ikan asin adalah hasil pengawetan ikan dengan menambahkan garam yang dilanjutkan pengeringan, untuk memperpanjang umur simpan serta membuat aroma, tekstur dan rasa yang khas. Ikan Gulamah (Pseudocienna amovensis) adalah salah satu hasil tangkapan nelayan di pesisir Kabupaten Tangerang,yang dijadikan bahan baku untuk membuat ikan asin. Tujuan penelitian ini untuk mengetahui karakteristik kimia ikan Gulamah asin dengan perbedaan kadar garam 10%, 15%, 20% dan 25%. Metode penelitian menggunakan Rancangan Acak Kelompok dengan analisis ANOVA, dilanjutkan dengan uji Tukey bila ada yang berbeda. Hasil analisis kimia ikan Gulamah asin dengan penambahan kadar garam 10%, 15%, 20% dan 25%, menghasilkan kadar air 32,45%; 26,60%; 24,35%; 21,82%, kadar abu 10,21%; 9,65%; 10,11%; 9,19%, kadar lemak 6,88%; 7,65%; 9,34%; 10,81%, kadar protein 39,56%; 45,18%; 51, 61%, 55,26% dan kadar garam 8,12%; 13,22%; 15,17%; 18,64%. Uji kimia menunjukkan bahwa kadar garam yang ditambahkan hasilnya berbeda nyata pada kadar air, kadar lemak, kadar protein dan kadar garam, namun tidak berbeda nyata pada kadar abu. Semakin banyak kadar garam ditambahkan membuat kadar air semakin menurun dan semakin bertambah naik kadar lemak dan protein.
Progesterone and progesterone-induced blocking factor (PIBF) levels in non-obese women with polycystic ovary syndrome
Authors: KIRLANGIÇ Mehmet Mete , ERASLAN ŞAHİN Mefkure , VURAL YALMAN Merve , AKDEMİR Esra , ÇÖL MADENDAĞ İlknur , SADE Osman Sertaç , KÜTÜK Serhan 
Published: September 2022

Purpose: This study aimed to evaluate the level of progesterone and progesterone-induced blocking factor (PIBF), an immune mediator, in non-obese patients with polycystic ovary syndrome (PCOS).
Materials and Methods: Totally 72 patients were recruited into study and divided into 2 groups: The first group was patients diagnosed with PCOS (n = 36) and the second was the healthy control group (n=36). The diagnosis of PCOS was made according to Rotterdam diagnostic criteria. All patients were 18–35 years old and non-obese (body mass index (BMI) < 25 kg/m2). Follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), thyroid-stimulating hormone (TSH), prolactin (PRL), total testosterone, and dehydroepiandrostenedione sulfate (DHEA-S) levels were measured on the third day of the menstrual cycle. On the 21st day of the same menstrual period, fasting blood glucose, insulin, progesterone, and PIBF levels were measured.
Results: Demographic and clinical characteristics of study participants were similar between the two groups. Serum FSH, E2, TSH, PRL, DHEA-S, total testosterone, fasting blood glucose, fasting insulin, homeostatic model assessment for insulin resistance (HOMA-IR), and hemoglobin A1c values were similar between the groups. Differences in LH, LH/FSH ratio, serum progesterone, and serum PIBF were statistically significant.
Conclusion: Progesterone and PIBF levels decreased in non-obese PCOS patients. We suggest that even in the absence of obesity, which is the origin and enhancer of inflammation in PCOS, low PIBF as the underlying immunomodulator will drive complications.
Classification of colorectal cancer based on gene sequencing data with XGBoost model: An application of public health informatics
Authors: AKBULUT Sami , KÜÇÜKAKÇALI Zeynep , ÇOLAK Cemil 
Published: September 2022

Purpose: This study aims to classify open-access colorectal cancer gene data and identify essential genes with the XGBoost method, a machine learning method.
Materials and Methods: The open-access colorectal cancer gene dataset was used in the study. The dataset included gene sequencing results of 10 mucosae from healthy controls and the colonic mucosa of 12 patients with colorectal cancer. XGboost, one of the machine learning methods, was used to classify the disease. Accuracy, balanced accuracy, sensitivity, selectivity, positive predictive value, and negative predictive value performance metrics were evaluated for model performance.
Results: According to the variable selection method, 17 genes were selected, and modeling was performed with these input variables. Accuracy, balanced accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score obtained from modeling results were 95.5%, 95.8%, 91.7%, 1%, 1%, and 90.9%, and 95.7%, respectively. According to the variable impotance acquired from the XGboost technique results, the CYR61, NR4A, FOSB, and NR4A2 genes can be employed as biomarkers for colorectal cancer.
Conclusion: As a consequence of this research, genes that may be linked to colorectal cancer and genetic biomarkers for the illness were identified. In the future, the detected genes' reliability can be verified, therapeutic procedures can be established based on these genes, and their usefulness in clinical practice may be documented.
Prognostic significance of the optic nerve sheath diameter in acute respiratory failure
Authors: EFGAN Mehmet Göktuğ , KARAKAYA Zeynep , YAMANOĞLU Adnan , KAYALI Ahmet 
Published: September 2022

Purpose: The primary aim of this study was to determine the role of the optic nerve sheath diameter (ONSD) measured using ultrasonography in the differentiation of hypoxemic respiratory failure and hypercarbic respiratory failure. The secondary aim was to determine the value of ONSD in predicting the clinical outcome in hypercarbic patients.
Materials and Methods: Non-traumatic adult patients presenting with dyspnea were included in this study. Arterial blood gas and concurrent ONSD measurements were obtained from all patients included in the study during presentation and at the second hour of treatment. The patients were divided into two groups - hypoxic and hypercarbic respiratory failure. An equivalent number of healthy volunteers were enrolled as the control group.
Result: Mean ONSD values were 3.8±0.2 mm in the 24 patients with type 1 respiratory failure, 5.2 ± 0.5 mm in the 25 patients with type 2 respiratory failure, and 3.9±0.3 mm in the healthy controls. The ONSD of the hypercarbic patients was statistically significantly greater than that of the hypoxic patients and healthy volunteers. The ONSD of the hypercarbic patients was 5.2±0.5mm at baseline and 4.4±0.6 mm after treatment, the difference being statistically significant. However, the difference in ONSD was not statistically significant in predicting hospitalization and mortality.
Conclusion: Sonographically measured ONSD may be an effective parameter in the differential diagnosis of type 1 and 2 respiratory failure. ONSD values changed significantly with treatment in patients with type 2 respiratory failure.
Ebeveynlerin sosyal görünüş kaygı düzeylerine göre çocuklarının sosyal görünüşleri ile ilgili tutum ve davranış farklılıkları
Authors: GÜMÜŞ Mahmut , KALE Mustafa , ÇAKMAK Soner 
Published: September 2022

Amaç: Bu araştırmada, sosyal görünüş kaygı düzeyi yüksek ve düşük ebeveynlerin, çocuklarının sosyal görünüşlerine ilişkin tutum ve davranış farklılıklarının incelenmesi amaçlanmıştır.
Gereç ve Yöntem: Bu araştırmada, nitel araştırma yöntemlerinden bütüncül çoklu durum çalışması kullanılmıştır. Araştırmanın katılımcılarını Adana ili Yüreğir ilçesinde yaşayan okul öncesi dönemde çocuğu olan 16 ebeveyn oluşturmaktadır. Katılımcıların belirlenmesinde, aykırı durum örnekleme yöntemi kullanılmıştır. Araştırmada ebeveynlerin sosyal görünüş kaygı düzeylerini belirlemek için, Sosyal Görünüş Kaygısı Ölçeği (SGKÖ) kullanılmış ve 100 katılımcıya uygulanmıştır. Elde edilen veriler IBM SPSS 25 programıyla analiz edilerek, katılımcılardan en yüksek ve en düşük puan alan sekizer kişi olmak üzere toplam 16 ebeveyn belirlenmiştir. Araştırmacı tarafından oluşturulan yarı yapılandırılmış görüşme formu kullanılarak, ebeveynlerle görüşmeler yapılmıştır. Görüşmeler ses kaydı alınarak yapılmış ve ses kayıtları metne dönüştürülerek, metinler içerik analizine tabii tutulmuştur.
Bulgular: Çalışmada, katılımcı grupta SGKÖ puanı en yüksek 66, en düşük 24, ortalama puan 35,71 ± 9,98 olarak elde edilmiştir. SGKÖ puan düzeyi düşük ebeveynlerin yaş ortalaması 34,75 ± 5,57’dir. SGKÖ puan düzeyi yüksek ebeveynlerin ise yaş ortalaması 31,62 ± 2,38’dir. Ebeveynlerin SGKÖ puan düzeylerine göre çocuklarının sosyal görünüşleri hakkındaki düşüncelerinde, çocuklarının bedenlerine yönelik beklentilerinde ve ideal çocuk bedeni tanımlamalarında farklılıklar belirlenmiştir. SGKÖ puanı yüksek ebeveynler, daha çok estetik görünüme ilişkin tanımlamalar yapmışlardır. Ayrıca SGKÖ puanı yüksek ebeveynlerin çocuklarının Beden Kitle İndeksi (BKİ) ile uyumsuz tanımlamalara sahip oldukları görülmüştür. Aksine SGKÖ puan düzeyi düşük olan ebeveynlerin ise çocuklarının bedenlerine ilişkin idealleştirmeye gitmedikleri anlaşılmıştır. Düşük ve yüksek SGKÖ puan düzeylerine sahip ebeveynlerin, çocuklarının sosyal görünüşlerine müdahalelerinde; fiziksel etkinliklerde, kıyafet tercihleri ve fiziksel görünüş uygulamalarında da farklılıklar bulunmuştur.
Sonuç: SGKÖ puan düzeyleri düşük ebeveynler, çocuklarının bedenine ilişkin idealleştirmeye gitmezken, SGKÖ puanı yüksek ebeveynlerin estetik görünüme ilişkin tanımlamalar yaptıkları görülmektedir. Bunun yanı sıra, SGKÖ puanı yüksek ebeveynlerin çocuklarının BKİ ile uyumsuz tanımlamalara sahip olduğu görülmüştür. SGKÖ puan düzeylerindeki farklılığın, ebeveynlerin çocuk yetiştirme tutum ve davranışlarında da farklılıklara sebep olduğu belirlenmiştir. Çalışmamıza göre, SGKÖ puan düzeyi yüksek olan ebeveynler çocuklarının beden görünümlerine daha fazla müdahale etmektedirler. Yeme kısıtlamaları, harekete teşvik ve akranları ile kıyaslama şeklinde tutum ve davranışları daha fazla göstermektedirler.
CRP/albumin ratio as an age-dependent prognostic factor in patients with COVID-19 pneumonia
Authors: ŞAHİN ÖZDEMİREL Tuğçe , AKKURT Esma Sevil , ERTAN Özlem , YENİBERTİZ Derya , AKINCI ÖZYÜREK Berna 
Published: September 2022

Purpose: The aim of our study was to determine whether C-reactive protein/albumin is an age-related marker in Covid-19 pneumonia.
Materials and Methods: We performed a retrospective research on 296 patients (166 male/130 female) with Covid-19 pneumonia. The participants were divided into two groups as
Small Seismic Events in Oklahoma Detected and Located by Machine Learning–Based Models
Authors: Ma Xiaofei , Chen Ting 
Published: September 2022

ABSTRACT
A complete earthquake catalog is essential to understand earthquake nucleation and fault stress. Following the Gutenberg–Richter law, smaller, unseen seismic events dominate the earthquake catalog and are invaluable for revealing the fault state. The published earthquake catalogs, however, typically miss a significant number of small earthquakes. Part of the reason is due to a limitation of conventional algorithms, which can hardly extract small signals from background noise in a reliable and efficient way. To address this challenge, we utilized a machine learning method and developed new models to detect and locate seismic events. These models are efficient in processing a large amount of seismic data and extracting small seismic events. We applied our method to seismic data in Oklahoma, United States, and detected ∼14 times more earthquakes compared with the standard Oklahoma Geological Survey catalog. The rich information contained in the new catalog helps better understand the induced earthquakes in Oklahoma.
4 cm Portable Active Seismic Source (PASS) for Meter- to Kilometer-Scale Imaging and Monitoring of Subsurface Structures
Authors: Tsuji Takeshi , Tsuji Shuhei , Kinoshita Junji , Ikeda Tatsunori , Ahmad Ahmad B. 
Published: September 2022

Abstract
We have developed a minimal Portable Active Seismic Source (PASS) system for imaging and monitoring geological formations. Stacking of the signals continuously generated by the PASS enhances the signal-to-noise ratio, allowing the use of a small seismic source to explore and monitor areas with poor accessibility. The small size and low cost of the PASS allow its deployment in many places to continuously monitor geological formations, including reservoirs, with high spatial resolution. The PASS generates chirp signals with a wide frequency range, which is configurable to suit the imaging or monitoring target. Here we report applications of our PASS on a riverbank and, in combination with a distributed acoustic sensing (DAS) array, on a tailings embankment in a mining area. With its dense array of DAS receivers, the PASS-DAS system shows promise for high-resolution and low-cost monitoring applications. The chirp signals from our PASS unit (4 cm diameter motor), generated by eccentric rotation of a mass &lt;10 g with a frequency range of 20–60 Hz, propagated a horizontal distance of &gt;900 m. We also recorded temporal variations of seismic velocity and attenuation associated with rainfall events and ice formation. These field experiments demonstrate that the PASS can be used to rapidly and inexpensively image sites with limited access, such as mountainous and extraterrestrial environments, and for monitoring embankments, landslides, and geothermal or CO2 storage reservoirs.
Pisarka i wiedźma: Fenomen Marjany Romanowej w literaturze rosyjskiej XXI wieku (2002-2021)
Authors: Ojcewicz Grzegorz 
Published: September 2022

Autor przybliża sylwetkę mistrzyni horroru, Marjany Romanowej (ur. 1979), kontrowersyjnej współczesnej pisarki rosyjskiej średniego pokolenia, która oprócz literatury zajmuje się także profesjonalnie sztuką wiedźmińską. Przez niektórych krytyków jest nazywana rosyjskim Stephenem Kingiem. Badacz śledzi drogę życiową Romanowej od najwcześniejszego etapu jej fascynacji sportami ekstremalnymi do najnowszych prób literackich, paraliterackich i pozaliterackich, w których ujawniają się autorskie fascynacje ezoterycznym drugim wymiarem oraz skutki indywidualnych eksperymentów z własną świadomością, a także zamiłowanie do propagowania tajemnic świata. Artykuł jest syntetycznym wprowadzeniem do problematyki i poetyki Romanowej, w której stylu indywidualnym można odnaleźć nawiązania do klasyków literatury rosyjskiej: tekstów niesamowitych Nikołaja Gogola, płynności opowiadania Nadieżdy Teffi czy tajemniczej narracji Aleksieja K. Tołstoja.
Шеймас Хини и Иосиф Бродский. Метафизика смерти в контексте христианской традиции
Authors: Elepova Marina , Beloshitskaya Nataliya 
Published: September 2022

В статье анализируется стихотворение Шеймаса Хини «Оденское», посвященное памяти Иосифа Бродского, в которой автор в трансцендентном ключе обращается к проблеме смерти. Реминисценции из Божественной комедии Данте и древнешумерского Эпоса о Гильгамеше придают тексту произведения метафизическую глубину и позволяют ставить «вечные» вопросы о посмертной участи человека и бессмертии. Вопреки собственному секуляризованному сознанию зрелых лет Хини, католик по воспитанию, видит решение проблемы высшего смысла бытия в системе религиозных координат. В стихотворении он утверждает несостоятельность перед лицом смерти характерной для Бродского «идолизации» языка, когда язык замещает Бога и предстает как основа всего сущего. На основе материалов интервью, высказываний, воспоминаний Хини и Бродского рассматриваются позиции двух поэтов по отношению к сфере духовной жизни: трудный путь религиозных исканий Хини, интуитивную укорененность ирландского поэта в христианской традиции и метафизический нигилизм Бродского, отрицающего свою отчетливую принадлежность к какой-либо системе религиозных представлений. В стихотворении «Оденское» через смену эмоциональных регистров и интертекстуальные связи Хини до предела заостряет неявный при жизни Бродского, но остро вспыхнувший в сознании ирландского поэта после смерти друга метафизический конфликт, разрешение которого, по мысли поэта, возможно лишь в контексте высших духовных смыслов.
Costs and Taxes in the Light of Financial Management in Companies Listed on WSE
Authors: Lyroudi Katerina , Bolek Monika 
Published: September 2022

The purpose of the article/hypothesis: The goal of this paper is to present costs and taxes as a part of financial management process in companies listed on the WSE. In the hypothesis it is expected that costs influence taxes paid by companies in a negative way due to the tax avoidance purpose attitude presented by managers, and as a result, both liquidity and debt levels are influenced.
Methodology: Correlation coefficients and regression models are evaluated to find the answers for the research questions related to the relationships between tested variables.
Results of the research: The correlation between costs and taxes is negative as expected, as well as their relationship with the liquidity. Contrary to the expectations, the correlation between taxes and costs is mostly positive, alike the relationship between liquidity and debt. Findings are characteristic for the Polish market that is rather conservative in the approach to taxes, liquidity and leverage strategies compared to other developed markets. These findings prove that liquidity and debt management issues are subjective and related to the market behavior such as tax evasion attitudes.
Erratum to: Use of a MAIT Activating Ligand, 5-OP-RU, as a Mucosal Adjuvant in a Murine Model of Vibrio cholerae O1 Vaccination
Authors: Jensen Owen , Trivedi Shubhanshi , Cacioppo Jackson G. , Li Kelin , Aubé Jeffrey , Hale J. Scott , Ryan Edward T. , Leung Daniel T 
Published: September 2022

ERRATUM TO: USE OF A MAIT ACTIVATING LIGAND, 5-OP-RU, AS A MUCOSAL ADJUVANT IN A MURINE MODEL OF VIBRIO CHOLERAE O1 VACCINATION
DOI: 10.20411/pai.v7i1.525
Reason: The authors sincerely regret the inadvertent omission of Jackson G. Cacioppo as coauthor of this work. He has no additional conflicts of interest.
Corrected version: Owen Jensen1,2, Shubhanshi Trivedi1, Jackson G. Cacioppo3, Kelin Li3, Jeffrey Aubé3, J. Scott Hale2, Edward T. Ryan4,5,6, Daniel T. Leung1, 2*
Correlating MRI-Based Brain Volumetry and Cognitive Assessment in People with Down Syndrome
Authors: Hamadelseed Osama , Skutella Thomas 
Published: September 2022

Abstract
INTRODUCTION: Down syndrome is the most common genetic cause of intellectual disability. Children and adults with Down syndrome show deficits in various aspects of language performance and explicit memory. Here, we used magnetic resonance imaging (MRI) on children and adults with Down syndrome to characterize changes in the volume of specific brain structures involved in memory and language and their relationship to features of cognitive-behavioral phenotypes.
METHODS: Thirteen children and adults with the Down syndrome phenotype and 12 age- and gender-matched healthy controls (age range 4-25) have assessment by MRI and underwent a psychological evaluation for language and cognitive abilities.
RESULTS: The cognitive profile of people with Down syndrome showed deficits in different cognition and language domains correlated with reduced volumes of specific regional and subregional brain structures, confirming previous related studies. Interestingly, in our study, persons with Down syndrome also showed a greater parahippocampal gyrus volume, in agreement with the results found in previous reports.
CONCLUSIONS: The memory functions and language skills affected in studied individuals with Down syndrome correlate significantly with the reduced volume of specific brain regions, allowing us to understand Down syndrome's cognitive-behavioral phenotype. Our results provide an essential basis for early intervention and the design of rehabilitation management protocols.
The contribution of international food trade to dietary risks and mortality at global, regional, and national levels
Authors: Springmann Marco , Kennard Harry , Dalin Carole , Freund Florian 
Published: September 2022

Abstract
About a quarter of all food produced for human consumption is internationally traded, including foods with important public health implications such as fruits, vegetables, legumes, nuts, and red meat. Food trade is generally perceived to increase the availability and diversity of foods available to consumers, but there is little empirical evidence on its implications for human health. Here we show that food trade has a substantial impact on dietary risks and mortality worldwide, and that whether impacts are positive or negative depends on the types of foods traded. Using bilateral trade data for 2019, together with food-specific risk-disease relationships, we estimate that international trade in fruits, vegetables, legumes, and nuts improved dietary risks in the importing countries and was associated with a reduction in mortality from non-communicable diseases of ~ 1.4 million deaths globally. In contrast, trade in red meat aggravated dietary risks in the importing countries and was associated with an increase of ~ 150,000 deaths. We identified European countries as the greatest importers of health-promoting foods, and countries in the Americas as the greatest exporters, whilst Germany, the USA, Spain, Brazil, and Australia were leading exporters of foods that increase dietary risks. The magnitude of our findings suggests that safeguarding the trade in health-promoting foods from disruptions, whilst limiting those of unhealthy ones can make substantial contribution to maintaining and improving population health. We anticipate that considering impacts on dietary risks will become important aspects for health-sensitive trade and agriculture policies, and for policy responses to disruptions in food chains.
Application of Maple on Computing Strong Fuzzy Chromatic Polynomial of Fuzzy Graphs
Authors: Ashebo Mamo Abebe , Rathour Laxmi , Rep V.N. SrinivasaRao 
Published: September 2022

Abstract
Objective: In the field of graph theory, maple is a technical computation form that is used for solving problems. In this article, we apply maple to find the strong fuzzy chromatic polynomial of fuzzy graphs and related. Moreover, we apply maple to obtain the strong fuzzy chromatic number for fuzzy graphs & related through their strong fuzzy chromatic polynomials.
Results: The strong fuzzy chromatic polynomials for fuzzy graphs, strong fuzzy graphs and complete fuzzy graphs are determined using maple. Furthermore, the strong fuzzy chromatic number for the fuzzy graphs are obtained.
Mathematics Subject Classification: 05C72; 05C15; 05C31.