bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mitochondrial DNA Levels in Trophectodermal Cells Show No Association with Blastocyst Development and Pregnancy Outcomes
Authors: Ritu G. , Veerasigamani Geetha , Ashraf Mohammed C. , Singh Sankalp , Laheri Saniya , Colaco Stacy , Modi Deepak 
Published: March 2022

ABSTRACT

Background:
In patients undergoing assisted reproduction, levels of mitochondrial DNA (mtDNA) in the trophectodermal cells of the developing blastocyst are suggested to be associated with its ability to implant. However, discrepancies exist regarding the use of mtDNA levels as a reliable biomarker to predict outcomes of assisted reproduction.

Aims:
The aim of the study is to explore the association of trophectodermal mtDNA levels to determine blastocyst quality, implantation potential of blastocyst and clinical outcomes in couples who have undergone pre-implantation genetic testing for aneuploidy (PGT-A).

Study Setting:
Private fertility centre.

Study Design:
Retrospective analysis.

Materials and Methods:
We analysed mtDNA levels in the trophectodermal cells of 287 blastocysts from 61 couples undergoing PGT-A. The levels of mtDNA were estimated by next-generation sequencing method. mtDNA levels were correlated with maternal age, blastocyst morphology, ploidy status, implantation rates, miscarriage rate and live birth rate.

Statistical Analysis Used:
Linear regression and one-way ANOVA with Tukey's all column comparison test.

Results:
The trophectodermal mtDNA levels did not correlate with maternal age. There were no significant differences in their levels in grade 1 and grade 2 blastocysts. No significant differences were seen between mtDNA levels of implanted and non-implanted blastocysts or those blastocysts that resulted in miscarriage or live birth. However, significantly lower amounts of mtDNA were seen in euploid blastocysts as compared to that in aneuploid blastocysts.

Conclusion:
mtDNA levels in the trophectodermal cells of the blastocyst do not associate with blastocyst quality (grade 1 and grade 2), implantation potential and clinical outcomes but can differentiate between aneuploid and euploid blastocysts. Our study does not support the use of trophectodermal mtDNA levels as a biomarker for blastocyst quality and predictor of clinical outcomes.
Editorial “Green Computing, Monitoring and Assessing of Smart IoT Systems and Components”
Authors: Kharchenko Vyacheslav , Bardis Nikolaos , Rucinski Andrzej 
Published: March 2022

Information and communication technologies and IT-based systems are, on the one side, a mean for energy systems and grids monitoring, control and instrumentation, power low management and safety ensuring. On the other side, IT-based systems, networks and infrastructures are weighty consumers of energy and other resources. The most challengeable IT domains, which can be called energy or power consumption critical, are mobile and Internet of Things (IoT) systems, cloud services, sensor networks.
Test Case Generation for Arduino Programming Instructions using Functional Block Diagrams
Authors: Padmanabhan Mani 
Published: March 2022

Interconnecting different wireless sensor and actuator network in the real-time systems are more demanding for testing. High capability is needed to enable efficient methodologies for testing. The major source of effective testing is the identification of test cases. Programming instruction based test case generation has not well suitable for Arduino real-time systems, that an open statement in the research community. This paper introduces a functional block diagram based test case generation framework to facilitate the functional evaluation of Arduino real-time systems. It makes from the functional block diagram. First, block diagrams are converted to the Event Sequence Graph, then the event node is minimized, the test cases are generated minimized event. The presented methodology has validated with the Arduino programming language. This proposed approach quantified with five sensors based Arduino real-time system experiments shows that based on the validated test cases; the development time and cost of the Arduino real-time systems have dynamically reduced.
HIGHLIGHTS

Software testing results ensure the quality of the developed software. Programming instruction based testing has not well suitable for Arduino real-time systems
Arduino functional block diagrams are converted to the event node for test case generation. Event Sequence Graph conversion algorithm provide the event direction
Validation of Arduino software programming based on Arduino functional block diagrams identify the new fault detection capability

GRAPHICAL ABSTRACT
As condições cognitivas da aprendizagem da geometria
Authors: Arinos Cleide Ribeiro Mota Arinos , Magalhães de Freitas José Luiz , Thadeu Moretti Méricles 
Published: March 2022

A geometria é um domínio do conhecimento que exige articulação cognitiva de dois registros de representação muito diferentes: a visualização de formas para representar o espaço e a linguagem para enunciar propriedades para daí deduzir novas. As dificuldades da aprendizagem vêm inicialmente da forma como esses dois registros são utilizados, de uma maneira frequentemente contrária ao seu funcionamento cognitivo normal e fora da matemática. O modo de ver as figuras depende da atividade em que ela é mobilizada. Podemos assim, distinguir um modo de ver que funciona de maneira icônica e um modo de ver que funciona de maneira não icônica. A visualização não icônica implica na desconstrução das formas já visualmente reconhecidas. Existem três tipos de desconstrução das formas: a desconstrução instrumental para construir uma figura, a decomposição heurística e a desconstrução dimensional. A desconstrução dimensional constitui o processo central da visualização geométrica. Para analisar o papel da linguagem em geometria, deve-se distinguir três níveis de operações discursivas: a denominação, a enunciação de propriedades e a dedução. Essa distinção é essencial porque a relação da linguagem com a visualização muda completamente de um nível a outro. Contudo, nesta variação, se esconde um fenômeno cognitivo fundamental: o hiato dimensional. As passagens entre visualização e discurso implicam em geometria uma mudança do número de dimensões para reconhecer os objetos do conhecimento visados em cada um desses dois registros. A tomada de consciência da desconstrução dimensional das formas e a da variedade de operações discursivas são as condições para que a visualização e o discurso funcionem em sinergia, apesar de seu hiato dimensional. São esses os limiares decisivos na aprendizagem da geometria.
Pioneers of the ice age models: a brief history from Agassiz to Milankovitch
Authors: Ateş M. Efe 
Published: March 2022

Abstract. It is now widely accepted that astronomical factors
trigger the emergence of glacial and interglacial periods. However, nearly
two centuries ago, the overall situation was not as apparent as it is today.
In this article, I briefly discuss the astronomical model of ice ages put
forward in the 19th and early 20th centuries. This period was indeed anni mirabiles for
scientists to understand the ice age phenomenon. Agassiz, Adhémar and
Croll laid the foundation stones for understanding the dynamics of ice ages.
But it was Milankovitch who combined empirical geology with mathematical
astronomy. Specifically, he identified the shortcomings of the preceding ice
age models and modified his model accordingly. In what follows, I review
earlier approaches to the ice age problem and show how they failed to meet
their objectives. Next, I show how Milankovitch's model managed to capture
all sufficient astronomical elements. The final sections focus on Milutin
Milankovitch's successful approach, including his accomplishment of tackling
the problem mathematically.
VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model
Authors: Bugliaro Luca , Piontek Dennis , Kox Stephan , Schmidl Marius , Mayer Bernhard , Müller Richard , Vázquez-Navarro Margarita , Peters Daniel M. , Grainger Roy G. , Gasteiger Josef , Kar Jayanta 
Published: March 2022

Abstract. After the eruption of volcanoes around the world, monitoring of the dispersion of ash in the atmosphere is an important task for satellite remote sensing since ash represents a threat to air traffic. In this work we present a novel method, tailored for Eyjafjallajökull ash but applicable to other eruptions as well, that uses thermal observations of the SEVIRI imager aboard the geostationary Meteosat Second Generation satellite to detect ash clouds and determine their mass column concentration and top height during the day and night. This approach requires the compilation of an extensive data set of synthetic SEVIRI observations to train an artificial neural network. This is done by means of the RTSIM tool that combines atmospheric, surface and ash properties and runs automatically a large number of radiative transfer calculations for the entire SEVIRI disk. The resulting algorithm is called “VADUGS” (Volcanic Ash Detection Using Geostationary Satellites) and has been evaluated against independent radiative transfer simulations. VADUGS detects ash-contaminated pixels with a probability of detection of 0.84 and a false-alarm rate of 0.05. Ash column concentrations are provided by VADUGS with correlations up to 0.5, a scatter up to 0.6 g m−2 for concentrations smaller than 2.0 g m−2 and small overestimations in the range 5 %–50 % for moderate viewing angles 35–65∘, but up to 300 % for satellite viewing zenith angles close to 90 or 0∘. Ash top heights are mainly underestimated, with the smallest underestimation of −9 % for viewing zenith angles between 40 and 50∘. Absolute errors are smaller than 70 % and with high correlation coefficients of up to 0.7 for ash clouds with high mass column concentrations. A comparison with spaceborne lidar observations by CALIPSO/CALIOP confirms these results: For six overpasses over the ash cloud from the Puyehue-Cordón Caulle volcano in June 2011, VADUGS shows similar features as the corresponding lidar data, with a correlation coefficient of 0.49 and an overestimation of ash column concentration by 55 %, although still in the range of uncertainty of CALIOP. A comparison with another ash algorithm shows that both retrievals provide plausible detection results, with VADUGS being able to detect ash further away from the Eyjafjallajökull volcano, but sometimes missing the thick ash clouds close to the vent. VADUGS is run operationally at the German Weather Service and this application is also presented.
Importance of Iron Metabolism
Authors: Mehboob Riffat 
Published: March 2022

Iron is a vital micronutrient that is mandatory for fundamental processes in both humans and bacteria. Iron is an essential trace element which promotes cell proliferation and growth. It also has the potential to initiate redox cycling and free radical synthesis. Hence, it is engaged in initiating tumorigenesis, its microenvironment and metastasis. Acquisition of iron, efflux, storage and regulation pathways are disturbed in carcinogenesis which suggests a reprogramming role of iron metabolism in tumor cell survival. Targeting iron metabolic pathways may give a new insight for prognosis and therapy [1].
Globally many people suffer from iron overload toxicity diseases e.g. trans fusional iron overload in thalassemia and hereditary haemochromatosis. Accumulated toxic iron deposits can cause tissue damage and identified in neurological disorders as well such as Alzheimer’s and Parkinson’s [2]. Regulation of iron is an essential defense mechanism against microbial infections. Individuals with toxic iron overload are more prone to bacterial infections as it is up taken by bacteria for their growth and survival [3]. These bacteria release iron binding molecules and then resorb them to recover iron deficiency. They also get rid of extra iron from transportation and hemoglobin. Microbes face more metabolic pressure when they have to strive hard to acquire it. Hence, the microbes with iron deficiency have a slower rate of reproduction as compared to others [5]. A small amount of iron is lost by sweating and shedding of cell from skin as well as mucosal lining of the digestive tract. However, most of it is restored and recycled by the reticuloendothelial system, which also breaks down the red blood cells [6].
Iron homeostasis is perturbed in inflammation and sepsis, causing raised iron transportation, influx into cells and reduction in iron efflux. Iron may be used as a predictive and diagnostic marker to evaluate the severity of diseases related to iron metabolism, sepsis and inflammation. Further studies are required to explore the drugs targeting specifically to iron metabolic pathways and providing an optimal therapeutic opportunity [7].
Pengelolaan Zakat dalam Pengembangan UMKM di Kelurahan Sukun Kec. Sukun Kota Malang Perspektif Maqashid Syari’ah
Authors: Widad Romzatul 
Published: March 2022

Pengembangan UMKM adalah salah satu alternatif yang mampu mengurangi beban ekonomi, baik secara nasional maupun regional. Sejak tahun 2014, Rumah Zakat di wilayah Sukun telah mengelola zakat secara produktif kepada para pelaku UMKM. Penggunaan zakat secara produktif juga dapat membantu pelaku UMKM untuk mengembangkan usahanya. Artikel ini menganalisis program, implementasi dan implikasi program pengelolaan zakat dalam pengembangan UMKM di wilayah Sukun, Malang. Hasil penelitian adalah: 1) program pengelolaan zakat di Rumah Zakat Kec. Sukun Kota Malang, dilakukan melalui beberapa kegiatan produktif yaitu: pelatihan/workshop wirausaha, modal usaha, fasilitas usaha, bimbingan GMP, legalitas, dan pemeliharaan produk dan pemasaran; 2) Implementasi pengelolaan zakat di Rumah Zakat Kec. Sukun Kota Malang, dilaksanakan melalui beberapa kegiatan yaitu: membangun pola pikir wirausahawan, pelatihan strategi pengembangan usaha, membantu pelaku UMKM untuk mendapatkan legalitas produk, pemberian produk label, standar prosedur operasional (SOP) produksi, penentuan segmen pasar, dan membantu pengemasan produk dan inventaris perusahaan; 3) implikasi pengelolaan program zakat dalam pengembangan UMKM di Kec. Sukun Kota Malang dalam perspektif Maqashid Syari'ah telah dikategorikan ke dalam Dharuriyat (kebutuhan yang mendesak), dan berimplikasi pada kesejahteraan masyarakat global dalam hal lima syarat, yaitu Hifdz al-Din, Hifdz al-Nafs, Hifdz al-'aql, Hifdz al-Nasl, dan Hifdz al-Maal.
Profesionalisme Guru Dalam Persepsi Guru MA dan SMA: Studi Kasus di Provinsi Riau
Authors: Vebrianto Rian , Alaniyah Syafaren  , Riki Apriyandi Putra  
Published: March 2022

Teachers in the educational context have a very important and strategic role. A teacher is required to be a professional teacher. The State will provide good financial for professional teachers who got the certification. For that in this study, researchers want to cover deeply into professional teachers. Using a qualitative approach with in-depth interview method. Respondens in this research are two teachers at the same level in the senior high school. the current question there are results that match the purpose of this study. The results from the interviews a teacher should have good skills in preparing intrument learning and implementation in teaching and learning system. Before the teacher becomes a professional teacher a teacher should at least collect portfolio himself or following the training PLPG for perapring test of professional teacher standard. The government, it is expected that more and more teachers in Indonesia quickly and appropriately to be called "Professional Teachers".
Pengembangan Media Pembelajaran Berbasis Website untuk Memfasilitasi Pemahaman Konsep Siswa SMK Negeri 5 Pekanbaru
Authors: Novialdi Novialdi , Zubaidah Amir MZ  , Thahir Musa 
Published: March 2022

This research aimed at producing an instructional media website based that was valid, practical, and able to facilitate student mathematics concept comprehension at State Vocational High School 5 Pekanbaru. ASSURE (Analyze learners, State objectives, Select method, media, and materials, Utilize method, media, and materials, Require learners participation, and Evaluate/revise) model was used. The subjects of this research were 37 students, and the object was the instructional media website based. The data were quantitative and qualitative. Validity and practicality test questionnaires, and concept comprehension test question were the instruments of collecting the data. The data obtained were analyzed by using Descriptive analysis technique. Based on validity test, the instructional media website based was stated on valid category with 88.13% validity level percentage. It was stated on practical category with 87.42% practicality level percentage. It facilitated student mathematics concept comprehension with 84.64% (very good) mastery percentage based on the mathematic concept comprehension test. Based on these results, it could be identified that the instructional media developed was valid, practical, and able to facilitate student mathematics concept comprehension at State Vocational High School 5 Pekanbaru.
Paisagem urbana e a presença de material particulado total em suspensão (mpts) no ar da cidade Dourados (MS): episódios de inverno e primavera de 2017
Authors: Santos Vladimir Aparecido Sorana dos , Silva Charlei Aparecido da 
Published: March 2022

Este trabalho objetivou compreender e identificar a presença e a concentração de MPTS (Material Particulado Total em Suspensão) na cidade de Dourados (MS) no inverno e na primavera de 2017. Como o estudo de clima urbano trata do subsistema físico-químico, que correlaciona a distribuição têmporo-espacial de MPTS com a paisagem urbana da cidade. A concentração do MPTS foi utilizada como um indicador da qualidade do ar. Uma rede de coleta de MPTS foi criada na forma de pontos fixos, distribuídos uniformemente na cidade e em função das características da paisagem urbana. Os resultados indicaram correlações diretas e indiretas com o padrão de uso e ocupação do solo urbano. Observou também padrões espaço-temporais distintos entre o inverno e a primavera, bem como, diferenças quantitativas e qualitativas no MPTS presente nas amostras. No inverno houve a predomínio de materiais silicosos, enquanto na primavera a matéria orgânica destacou-se. Em ambas as estações observou-se que a qualidade do ar se demonstrou desfavorável a saúde humana.
Efficient Processing of Analytical Queries Extended with Similarity Search Predicates over Images in Spark
Authors: Muzzi da Rocha Guilherme , Dutra de Aguiar Ciferri Cristina 
Published: March 2022

An image data warehousing extends a conventional data warehousing to also manipulate images represented by feature vectors and attributes for similarity search. A challenge that arises is the efficient processing of analytical queries extended with a similarity search predicate. These queries have a high computational cost since they require the processing of costly star join operations and distance calculations in the same setting. We consider applications that manage huge volumes of data, where the use of parallel and distributed data processing frameworks is needed. In this article, we introduce two methods to efficiently solve this challenge in Spark. BrOmnImg is based on the integration of the broadcast join and the Omni techniques for the processing of the star join operation and the distance calculations, respectively. BrOmnImgCF extends BrOmnImg by using the conventional predicate to further reduce the number of distance calculations. Compared with the closest method available in the literature, BrOmnImg reduced the time spent on query processing by up to about 65%. Compared with BrOmnImg, BrOmnImgCF improved the performance by up to about 54%.
Oviducal gland transcriptomics of Octopus maya through physiological stages and the negative effects of temperature on fertilization
Authors: Juárez Oscar E. , Arreola-Meraz Lousiana , Sánchez-Castrejón Edna , Avila-Poveda Omar Hernando , López-Galindo Laura L. , Rosas Carlos , Galindo-Sánchez Clara E. 
Published: March 2022

Background
Elevated temperatures reduce fertilization and egg-laying rates in the octopus species. However, the molecular mechanisms that control the onset of fertilization and egg-laying in the octopus’ oviducal gland are still unclear; and the effect of temperature on the expression of key reproductive genes is unknown. This study aims to better understand the molecular bases of octopus fertilization and egg-laying, and how they are affected by elevated temperatures.

Method
RNA-seq of oviducal glands was performed for samples before, during, and after fertilization and their transcriptomic profiles were compared. Also, at the fertilization stage, the optimal and thermal-stress conditions were contrasted. Expression levels of key reproductive genes were validated via RT-qPCR.

Results
In mated females before egg-laying, genes required for the synthesis of spermine, spermidine, which may prevent premature fertilization, and the myomodulin neuropeptide were upregulated. Among the genes with higher expression at the fertilization stage, we found those encoding the receptors of serotonin, dopamine, and progesterone; genes involved in the assembly and motility of the sperm flagellum; genes that participate in the interaction between male and female gametes; and genes associated with the synthesis of eggshell mucoproteins. At temperatures above the optimal range for reproduction, mated females reduced the fertilization rate. This response coincided with the upregulation of myomodulin and APGW-amide neuropeptides. Also, genes associated with fertilization like LGALS3, VWC2, and Pcsk1 were downregulated at elevated temperatures. Similarly, in senescent females, genes involved in fertilization were downregulated but those involved in the metabolism of steroid hormones like SRD5A1 were highly expressed.
Machine learning driven by environmental covariates to estimate high-resolution PM2.5 in data-poor regions
Authors: Jin XiaoYe , Ding Jianli , Ge Xiangyu , Liu Jie , Xie Boqiang , Zhao Shuang , Zhao Qiaozhen 
Published: March 2022

PM2.5, which refers to fine particles with an equivalent aerodynamic diameter of less than or equal to 2.5 µm, can not only affect air quality but also endanger public health. Nevertheless, the spatial distribution of PM2.5 is not well understood in data-poor regions where monitoring stations are scarce. Therefore, we constructed a random forest (RF) model and a bagging algorithm model based on ground-monitored PM2.5 data, aerosol optical depth (AOD) and meteorological data, and auxiliary geographical variables to accurately estimate the spatial distribution of PM2.5 concentrations in Xinjiang during 2015–2020 at a resolution of 1 km. Through 10-fold cross-validation (CV), the RF model and bagging algorithm model were verified and compared. The results showed the following: (1) The RF model achieved better model performance and thus can be used to estimate the PM2.5 concentration at a relatively high resolution. (2) The PM2.5 concentrations were high in southern Xinjiang and low in northern Xinjiang. The high values were concentrated mainly in the Tarim Basin, while most areas of northern Xinjiang maintained low PM2.5 levels year-round. (3) The PM2.5 values in Xinjiang showed significant seasonality, with the seasonally averaged concentrations decreasing as follows: winter (71.95 µg m−3) > spring (64.76 µg m−3) > autumn (46.01 µg m−3) > summer (43.40 µg m−3). Our model provides a way to monitor air quality in data-scarce places, thereby advancing efforts to achieve sustainable development in the future.