bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Follicle-Stimulating Hormone Receptor Polymorphism Status Affect In vitro Fertilization-Intracytoplasmic Sperm Injection Results and Live Birth Rate? A Retrospective Study
Authors: Bayraktar Burak , Güleç Ebru Şahin , Kutbay Yaşar Bekir , Köse Can , Gür Esra Bahar , Demir Ahmet 
Published: March 2022

ABSTRACT

Background:
Follicle-stimulating hormone (FSH) plays a key role in fertility and shows its effect through the FSH receptor (FSHR), which is localized in cells.

Aims:
The aim of this study was to examine pregnancy outcomes and responses to controlled ovarian stimulation according to FSHR polymorphism types.

Study Setting and Design:
The study was retrospective, and included patients who applied to the University of Health Sciences Tepecik Training and Research Hospital in vitro fertilization (IVF) Unit during 2018 and 2019.

Materials and Methods:
Patients who underwent IVF-intracytoplasmic sperm injection and at the same time studied FSHR gene polymorphism in the genetic unit of our hospital were included in the study.

Statistical Analysis:
The Kruskal–Wallis test was used for multiple comparisons of continuous variables. The Chi-square test was used for categorical variables between groups.

Results:
A total of 143 patients who met our criteria were included in the study. 14% (n = 20) of the patients are also homozygous natural (Asn/Asn) type; 44.7% (n = 64) of the heterozygous mutant (Asn/Ser) type; 41.3% (n = 59) of them were homozygous mutant (Ser/Ser) type. There was no statistically significant difference between the groups in terms of pregnancy rate per started cycle, ongoing pregnancy per started cycle, ongoing pregnancy per embryo transfer and live birth per embryo transfer. A significant difference was observed between peak E2 and peak progesterone levels between Asn/Ser and Ser/Ser groups, and the levels of these hormones were lower in the Ser/Ser group (P = 0.018 and P = 0.016, respectively). Ovarian responses were classified as poor (≤3 oocytes), normal (4-20 oocytes) and hyperresponse (≥20 oocytes) according to the oocyte count. Accordingly, the number of patients with poor response was higher in the Ser/Ser group (P = 0.011).

Conclusions:
Ser/Ser polymorphism is characterised by a poor ovarian response. Despite this, polymorphisms in the FSHR gene do not seem to affect the results of pregnancy per started cycle, ongoing pregnancy per started cycle, ongoing pregnancy per embryo transfer and live birth per embryo transfer.
Clinico-laboratory profile, outcome, and risk factors for pediatric intensive care admission among hospitalized COVID-19–infected children from Eastern India
Authors: Khemka Arpita , Raychaudhuri Dibyendu , Pampi Dani , Ghosh Saptarshi , Chowdhoury Satyabrata Roy , Mahapatra Manas Kumar , Bhakta Subhajit , Sarkar Mihir 
Published: March 2022

Background:
Children had been affected less by COVID-19 than adults. But as the pandemic progressed more cases of severe pediatric COVID infection were reported. Aim of this study is to describe the clinical characteristics, laboratory parameters, treatments, and predictors of pediatric intensive care unit (PICU) admission among hospitalized children with SARS-CoV-2 infection.

Subjects and Methods:
This was a retrospective, observational study performed in a tertiary care COVID referral hospital among hospitalized children aged from 1 month to 12 years, from May 2020 to March 2021. Children treated in the pediatric ward were compared with those admitted in the PICU to assess predictors of intensive care admission.

Results:
Out of 447 hospitalized patients with confirmed COVID-19 infection, 92 (20.58%) required admission in the PICU. Mean age of the study population was 44.58 (16.77–72.39) months. Thirty-eight patients (8.50%) fulfilled multisystem inflammatory syndrome in children (MIS-C) diagnostic criteria. Invasive mechanical ventilation and inotropic support were needed for 28.26% and 36.96% of PICU-admitted patients, respectively. The mortality rate was 1.57%. Independent risk factors for PICU admission were infant age group, longer duration of fever (>5 days), shortness of breath, presence of shock, underlying comorbidities and higher pediatric early warning score (PEWS ≥5), poor Glasgow coma scale (GCS <7), MIS-C, elevated C-reactive protein (CRP >50 mg/L), neutrophil–lymphocyte ratio (NLR ≥4.5), and hypoalbuminemia (<2.5 g/dL).

Conclusions:
Clinical factors such as infancy, prolonged fever, respiratory distress at admission, shock, higher PEWS, poor GCS, and comorbidities indicate at risk for severe disease. Simple laboratory parameters such as CRP, NLR ≥4.5, and albumin may be considered as screening at admission to predict need of PICU care.
Application of Saptopakram in Vranashopha Management- A Review
Authors: Ujjawal Shivhare  , Mrigank Shekhar  , Shailendra  , Tina Singhal  
Published: March 2022

Vrana i.e., wound and its management has prime importance in surgical practice. Vranashopha has peculiar clinical features and is rapidly spreading pathological condition. The disease isn’t easy to treat even if a doctor knows its stages very well. So the deep and exact knowledge about the Vranashopha and its stages is must for a good doctor. Acharya Sushruta has mention and explained 7 major procedures (Saptopakram) for Vranashopha management which includes the management at its initial stage (Amavastha) through the wound stage (Vranavastha) till the management of the complications of the healed wound (Vaikritapaham). We can categorized these procedures as the first 3 procedure can be used for Amavastha and Pachyamanavastha both, the 4th for Pakwavastha alone, 5th & 6th for the stage of wound and the 7th for the management of complications of healed wound. The description of Saptopakrama is described for both Aam and Pakvasopha means it included Nija and Agantuja both type of Vrana.
In this review article, we have tried to describe different types of Shopha, their Lakshanas (signs & symptoms), and their management according to Susruta Samhita in Ayurveda. There are some efforts have also been carried out to collect, discuss and describe the Ayurvedic concept of Saptopakram.
TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning
Authors: Khaldi Rohaifa , Alcaraz-Segura Domingo , Guirado Emilio , Benhammou Yassir , El Afia Abdellatif , Herrera Francisco , Tabik Siham 
Published: March 2022

Abstract. Land use and land cover (LULC) mapping are of paramount importance to monitor and understand the structure and dynamics of the Earth system. One of the most promising ways to create accurate global LULC maps is by building good quality state-of-the-art machine learning models. Building such models requires large and global datasets of annotated time series of satellite images, which are not available yet.
This paper presents TimeSpec4LULC (https://doi.org/10.5281/zenodo.5913554; Khaldi et al., 2022), a smart open-source global dataset of multispectral time series for 29 LULC classes ready to train machine learning models. TimeSpec4LULC was built based on the seven spectral bands of the MODIS sensors at 500 m resolution, from 2000 to 2021, and was annotated using spatial–temporal agreement across the 15 global LULC products available in Google Earth Engine (GEE).
The 22-year monthly time series of the seven bands were created globally by (1) applying different spatial–temporal quality assessment filters on MODIS Terra and Aqua satellites; (2) aggregating their original 8 d temporal granularity into monthly composites; (3) merging Terra + Aqua data into a combined time series; and (4) extracting, at the pixel level, 6 076 531 time series of size 262 for the seven bands along with a set of metadata: geographic coordinates, country and departmental divisions, spatial–temporal consistency across LULC products, temporal data availability, and the global human modification index.
A balanced subset of the original dataset was also provided by selecting 1000 evenly distributed samples from each class such that they are representative of the entire globe.
To assess the annotation quality of the dataset, a sample of pixels, evenly distributed around the world from each LULC class, was selected and validated by experts using very high resolution images from both Google Earth and Bing Maps imagery.
This smartly, pre-processed, and annotated dataset is targeted towards scientific users interested in developing various machine learning models, including deep learning networks, to perform global LULC mapping.
Constraining a land cover map with satellite-based aboveground biomass estimates over Africa
Authors: Marie Guillaume , Luyssaert B. Sebastiaan , Dardel Cecile , Le Toan Thuy , Bouvet Alexandre , Mermoz Stéphane , Villard Ludovic , Bastrikov Vladislav , Peylin Philippe 
Published: March 2022

Abstract. Most land surface models can, depending on the simulation experiment, calculate the vegetation distribution and dynamics internally by making use of
biogeographical principles or use vegetation maps to prescribe spatial and temporal changes in vegetation distribution. Irrespective of whether
vegetation dynamics are simulated or prescribed, it is not practical to represent vegetation across the globe at the species level because of its
daunting diversity. This issue can be circumvented by making use of 5 to 20 plant functional types (PFTs) by assuming that all species within a
single functional type show identical land–atmosphere interactions irrespective of their geographical location. In this study, we hypothesize that
remote-sensing-based assessments of aboveground biomass can be used to constrain the process in which real-world vegetation is discretized in PFT
maps. Remotely sensed biomass estimates for Africa were used in a Bayesian framework to estimate the probability density distributions of woody,
herbaceous and bare soil fractions for the 15 land cover classes, according to the United Nations Land Cover
Classification System (UN-LCCS) typology, present in Africa. Subsequently, the 2.5th
and 97.5th percentiles of the probability density distributions were used to create 2.5 % and 97.5 % credible interval PFT maps. Finally,
the original and constrained PFT maps were used to drive biomass and albedo simulations with the Organising Carbon and Hydrology In Dynamic Ecosystems (ORCHIDEE) model. This study demonstrates that
remotely sensed biomass data can be used to better constrain the share of dense forest PFTs but that additional information on bare soil fraction is
required to constrain the share of herbaceous PFTs. Even though considerable uncertainties remain, using remotely sensed biomass data enhances the
objectivity and reproducibility of the process by reducing the dependency on expert knowledge and allows assessing and reporting the credible
interval of the PFT maps which could be used to benchmark future developments.
Analysis of average annual temperatures and rainfall in southern region of the state of Rio Grande do Sul, Brazil
Authors: Cardoso Iulli Pitone , Siqueira Tirzah Moreira , Timm Luis Carlos , Rodrigues Aryane Araujo , Nunes André Becker 
Published: March 2022

This work aimed to analyze the average temperature and rainfall in the Southern and Steppe regions of the State of Rio Grande do Sul, Brazil, obtained by three global climate models regionalized by the Eta model (CANESM2, HADGEM2-ES and MIROC5) for the historical period, and two future climate scenarios (RCP 4.5 and RCP 8.5), subdivided into three periods: F1 (2006-2040), F2 (2041-2070), and F3 (2071-2099). The analysis was conducted by applying the trend tests Mann Kendall’s, Sen’s Slope and Pettitt’s to the dataset. The study noted an increase in temperature, and that the highest temperatures will occur at the end of the century. For the three climate models, temperatures will be milder in the RCP 4.5 scenario, mostly, when compared to the RCP 8.5. For those scenarios, a significant increase up to 0.95 C/year was observed in the temperature of all series, with the years of change in the mean values occurring between 2048 and 2060. The projections also suggest that there may be an increase in the average accumulated rainfall in the future periods analyzed, with exception of the result found with CANESM2 model at the RCP 8.5 scenario, which showed a significant decrease of annual rainfall in all series, ranging approximately from -3,1 to -6,6 mm/year. Those significant changes in mean of the rainfall series are expected for the late 2070’s. With exception of this result, most cities and models indicate an increase in rainfall regimes, with clear variations between models and scenarios.
Animal welfare assessment in nine dog shelters of southern Brazil
Authors: Do Amaral Gurgel Galeb Luciana , Duarte Borges Tâmara , Jardim dos Santos Camila , Pedernera Cecília , Velarde Antonio , Anater Amanda , Welker Biondo Alexander , Turra Pimpão Cláudia 
Published: March 2022

The present study has tested the Shelter-Quality Protocol (SQ) and its applicability in nine long-term dog shelters in the Curitiba metropolitan area, State of Paran , southern Brazil. Welfare indicators were scored on three different levels including shelter, pen and dogs. Data were qualitatively analyzed, presenting an average of 66.67 ( 27.63) allocated dogs per shelter, receiving only dry food, with meal frequencies varying from once (44.4%), twice a day (33.3%), and ad libitum (22.2%). Water was available ad libitum in 98.5% of pens and was clean in (89.5%) of shelters. Most of the shelters grouped the dogs by size. Animals were kept indoors (41.0%) or entirely outdoors with only close movable shelters (41.3%), from which 78.5% had materials that could hurt the animals. None of the dogs were panting, crowding, or had any stereotypy behavior. No cough, swelling, and ectoparasites were observed. Animals were in satisfactory body-score condition and clean; no lameness was observed. In the human-animal relationship test, 15.3% of animals showed fearful and aggressive reactions. Hence, the level of shelter-quality was feasible and provided relevant information about the Brazilian dog shelter welfare. However, it is important in future studies to include and adopt additional indicators to gather other relevant aspects of dogs’ welfare, such as health management, environmental enrichment, dogs’ socialization, people involved in the chain, rate of adoption, and turnover of dogs.
POTENSI SLAG NIKEL HALUS (FeNi 4) PT. ANTAM POMALAA SEBAGAI AGREGAT HALUS PADA CAMPURAN ASPAL
Authors: Putra Dimas Manggala , Nasrul Nasrul , Ngii Edward 
Published: March 2022

ABSTRAKSlag nikel (FeNi4) adalah jenis terbaru dengan ukuran butiran mendekati pasir (lolos No. 8). Jumlah buangan slag nikel telah mencapai 1 juta ton pada tahun 2018, sehingga berbahaya bagi lingkungan jika tidak dimanfaatkan secara luas. Disisi lain kebutuhan agregat halus campuran aspal jenis Hot Rolled Sheet (HRS-WC) sangat tinggi. Penelitian ini bertujuan untuk mengetahui potensi pemanfaatan slag nikel FeNi4 sebagai agregat pada campuran aspal jenis HRS.Slag nikel (FeNi4) diperoleh dari PT. Antam Pomalaa. Penelitian dirancang dengan tiga variasi penggunaan slag terhadap agregat halus standar yaitu Variasi 1 (0/100%); Variasi 2 (50/50%); dan Variasi 3 (100/0%). Penyetaraan berat jenis dilakukan untuk menghitung jumlah slag yang digunakan. Jumlah sampel sebanyak 45 sampel dan diuji menggunakan alat Marshall Test. Spesifikasi yang digunakan dalam penelitian mengacu pada Bina Marga 2010.Hasil penelitian menunjukkan bahwa pada benda uji Variasi 2 (50/50%) masih diperoleh kadar aspal optimum sebesar 6,319%, hampir sama dengan kadar aspal optimum benda uji kontrol sebesar 6,331%, namun dengan range kadar aspal yang lebih sempit. Temuan ini menunjukkan bahwa slag nikel FeNi4 sangat berpotensi digunakan dalam campuran HRS-WC namun dibatasi sampai 50%. Penelitian lanjutan dapat lakukan untuk mengetahui karakteristik campuran HRS-WC pada penggunaan slag nikel FeNi4 dibawah 50%. Kata Kunci : Slag, Antam, Nikel, Aspal, AgregatABSTRACTNickel slag (FeNi4) is the latest type that was close to sand material (pass No.8). The amount of nickel slag discharges reached 1 million tons in 2018, making it dangerous for the environment if not widely used. On the other hand, the need for fine aggregate asphalt mix type Hot Rolled Sheet (HRS) is very high. This study aims to determine the potential use of FeNi4 nickel slag as fine aggregate in the HRS mixture.Nickel slag (FeNi4) obtained from PT. Antam Pomalaa. The study was designed with three variations of the use of slag against standard fine aggregates, namely Variation 1 (0/100%); Variation 2 (50/50%); and Variation 3 (100/0%). Equal density is done to calculate the number of slags used. The total sample is 45 samples and tested using Marshall Test. The specifications used in the study refer to the 2010 Bina Marga.The results showed that Variation 2 (50/50%) of the specimens were still obtained optimum asphalt content of 6.319%, almost the same as the optimum asphalt content of control specimens of 6.331%, but with a narrower range of asphalt content. These findings indicate that FeNi4 nickel slag is very potentially used in HRS-WC mixtures but is limited to 50%. Further research can be done to determine the characteristics of the HRS-WC mixture on the use of FeNi4 nickel slag below 50%. Keywords : Slag, Antam, Nickel, Asphalt, Aggregate
Fictional Folklore: On the Paremiology of A Game of Thrones
Authors:   Universidad de Extremadura, Spain, Tosina Fernández Luis J. 
Published: March 2022

In this article, the first work in the fantasy literature series, titled A Song of Ice and Fire: A Game of Thrones, by George R. R. Martin will be analyzed in relation to the author’s use of proverbs, in order to determine the role that these play in the narration and what their features are. This choice seems appropriate for the analysis of folklore elements, such as proverbs, given the popularity of the series and its presumed contribution to the spread of phraseology. In the analysis of this text, a rather interesting approach to proverbs emerges, one in which the author makes use of proverbs existing in the real world, as well as creates his own, ad hoc, for this literary composition. These occurrences seem particularly interesting and will be analyzed in detail to determine whether they produce the desired effect and whether they follow the expected use of proverbs in real life.
Photoisomerization kinetics of a novel photoswitchable film based on methyl red doped with sodium hexachloroplatinate hosted in polyethylene oxide
Authors: Al‐Bataineh Qais M. , Telfah Ahmad , Ahlmann Norman , Tolstik Elen , Tavares Carlos J. , Hergenröder Roland 
Published: March 2022

AbstractThis work proposes a novel dopant material to improve the energy storage in azo molecules. Organometallic material with platinum base atom (sodium hexachloroplatinate (IV) (Na2PtCl6)) was used as a dopant material in polyethylene oxide‐methyl red (PEO‐MR) films. The photoisomerization kinetics, the energy storage, and the electrical conductivity distribution of PEO‐(MR‐Na2PtCl6) films are investigated and studied. In addition, the effect of Na2PtCl6 on the chemical and crystal structure is also premeditated. It can be concluded that adding Na2PtCl6 to PEO‐MR film improves the energy storage in the azo molecules. Therefore, the addition of Na2PtCl6 into PEO‐MR films can be proposed for different applications, especially in molecular solar thermal energy storage media.
Benzo[g]coumarin‐benzothiazole hybrid: A fluorescent probe for the detection of amyloid‐beta aggregates
Authors: Kim Na Hee , Huh Youngbuhm , Kim Dokyoung 
Published: March 2022

AbstractHere, we disclose a new turn‐on type fluorescent probe (named BCB‐1) for the detection of Aβ plaques, which is an essential biomarker in Alzheimer's disease (AD). BCB‐1 has a hybrid structure of benzo[g]coumarin and benzothiazole, and it showed significant emission enhancement at the near‐infrared (NIR) region when sensing Aβ plaques. BCB‐1 also showed high selectivity and sensitivity toward Aβ plaques, and its bio‐imaging applicability was confirmed within an AD mouse (5XFAD) brain. We expect our superb AD diagnosis fluorescent probe to be broadly applied in Aβ plaques related clinical and biological studies.
Iodine Chemisorption, Interpenetration and Polycatenation: Cationic MOFs and CPs from Group 13 Metal Halides and Dipyridyl Linkers
Authors: Schäfer Thomas C. , Becker Jonathan , Seuffert Marcel T. , Heuler Dominik , Sedykh Alexander E. , Müller‐Buschbaum Klaus 
Published: March 2022

AbstractInvited for the cover of this issue are Klaus Müller‐Buschbaum and co‐workers at Giessen University. The image depicts an aluminium‐based MOF as a novel material for the capture of iodine radioisotopes from a potential gas atmosphere exposure. Read the full text of the article at 10.1002/chem.202104171.
Game theory based spectrum sensing and transmission in energy harvesting hybrid cognitive radio networks (EH‐HCRN)
Authors: K Danesh , S Vasuhi 
Published: March 2022

SummaryIn an energy harvesting cognitive radio network (EH‐CRN), the correspondence among the primary transmitter (PT) and primary receiver (PR) for spectrum sensing and transmission becomes ineffective as a result of insufficient SNR, finite sensing duration and interferences. We recommend designing a suitable spectrum sensing structure based on game theory for energy harvesting hybrid CRN to resolve these complications. This comprises three phases: (i) co‐operative relay approach for primary user (PU) transmission; (ii) optimal sensing interval estimation; and (iii) co‐operative energy efficient spectrum sensing and transmission. Initially, a batch of suitable secondary transmitters (STs) are identified as relay nodes for the PTs in the first phase. Next, in the second phase, a sensing interval that maximizes a utility function devised concerning average throughput, collision probability regarding secondary user (SU) and energy detector threshold is determined by applying the game theory model. Finally, co‐operative transmission is utilized in the third phase if the PR could not decode the signal from PT via STs. The presented framework is simulated using NS2, and its efficiency is estimated in terms of the parameters like transmission latency, packet loss, residual energy and possibilities of successful data delivery.