bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early pregnancy maternal progesterone administration alters pituitary and testis function and steroid profile in male fetuses
Authors: Siemienowicz Katarzyna J. , Wang Yili , Marečková Magda , Nio-Kobayashi Junko , Fowler Paul A. , Rae Mick T. , Duncan W. Colin 
Published: December 2020

AbstractMaternal exposure to increased steroid hormones, including estrogens, androgens or glucocorticoids during pregnancy results in chronic conditions in offspring that manifest in adulthood. Little is known about effects of progesterone administration in early pregnancy on fetal development. We hypothesised that maternal early pregnancy progesterone supplementation would increase fetal progesterone, affect progesterone target tissues in the developing fetal reproductive system and be metabolised to other bioactive steroids in the fetus. We investigated the effects of progesterone treatment during early pregnancy on maternal and fetal plasma progesterone concentrations, transcript abundance in the fetal pituitary and testes and circulating steroids, at day 75 gestation, using a clinically realistic ovine model. Endogenous progesterone concentrations were lower in male than female fetuses. Maternal progesterone administration increased male, but not female, fetal progesterone concentrations, also increasing circulating 11-dehydrocorticosterone in male fetuses. Maternal progesterone administration altered fetal pituitary and testicular function in ovine male fetuses. This suggests that there may be fetal sex specific effects of the use of progesterone in early pregnancy, and highlights that progesterone supplementation should be used only when there is clear evidence of efficacy and for as limited time as necessary.
Bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells
Authors: Hardinge Patrick , Baxani Divesh K. , McCloy Thomas , Murray James A. H. , Castell Oliver K. 
Published: December 2020

AbstractMicrofluidic droplet generation affords precise, low volume, high throughput opportunities for molecular diagnostics. Isothermal DNA amplification with bioluminescent detection is a fast, low-cost, highly specific molecular diagnostic technique that is triggerable by temperature. Combining loop-mediated isothermal nucleic acid amplification (LAMP) and bioluminescent assay in real time (BART), with droplet microfluidics, should enable high-throughput, low copy, sequence-specific DNA detection by simple light emission. Stable, uniform LAMP–BART droplets are generated with low cost equipment. The composition and scale of these droplets are controllable and the bioluminescent output during DNA amplification can be imaged and quantified. Furthermore these droplets are readily incorporated into encapsulated droplet interface bilayers (eDIBs), or artificial cells, and the bioluminescence tracked in real time for accurate quantification off chip. Microfluidic LAMP–BART droplets with high stability and uniformity of scale coupled with high throughput and low cost generation are suited to digital DNA quantification at low template concentrations and volumes, where multiple measurement partitions are required. The triggerable reaction in the core of eDIBs can be used to study the interrelationship of the droplets with the environment and also used for more complex chemical processing via a self-contained network of droplets, paving the way for smart soft-matter diagnostics.
The bivariate NRIP1/ZEB2 RNA marker permits non-invasive presymptomatic screening of pre-eclampsia
Authors: Manders Vera , Visser Allerdien , Keijser Remco , Min Naomi , Poutsma Ankie , Mulders Joyce , van den Berkmortel Tarah , Hortensius Marjolein , Jongejan Aldo , Pajkrt Eva , Sistermans Erik A. , Sie Daoud , Best Myron G. , Würdinger Tom , de Boer Marjon , Afink Gijs , Oudejans Cees 
Published: December 2020

AbstractUsing genome-wide transcriptome analysis by RNA sequencing of first trimester plasma RNA, we tested whether the identification of pregnancies at risk of developing pre-eclampsia with or without preterm birth or growth restriction is possible between weeks 9–14, prior to the appearance of clinical symptoms. We implemented a metaheuristic approach in the self-learning SVM algorithm for differential gene expression analysis of normal pregnancies (n = 108), affected pregnancies (n = 34) and non-pregnant controls (n = 19). Presymptomatic candidate markers for affected pregnancies were validated by RT-qPCR in first trimester samples (n = 34) from an independent cohort. PRKG1 was significantly downregulated in a subset of pregnancies with birth weights below the 10thpercentile as shared symptom. The NRIP1/ZEB2 ratio was found to be upregulated in pregnancies with pre-eclampsia or trisomy 21. Complementary quantitative analysis of both the linear and circular forms of NRIP1 permitted discrimination between pre-eclampsia and trisomy 21. Pre-eclamptic pregnancies showed an increase in linear NRIP1 compared to circular NRIP1, while trisomy 21 pregnancies did not.
Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging
Authors: Sato Daiki , Takamatsu Toshihiro , Umezawa Masakazu , Kitagawa Yuichi , Maeda Kosuke , Hosokawa Naoki , Okubo Kyohei , Kamimura Masao , Kadota Tomohiro , Akimoto Tetsuo , Kinoshita Takahiro , Yano Tomonori , Kuwata Takeshi , Ikematsu Hiroaki , Takemura Hiroshi , Yokota Hideo , Soga Kohei 
Published: December 2020

AbstractThe diagnosis of gastrointestinal stromal tumor (GIST) using conventional endoscopy is difficult because submucosal tumor (SMT) lesions like GIST are covered by a mucosal layer. Near-infrared hyperspectral imaging (NIR-HSI) can obtain optical information from deep inside tissues. However, far less progress has been made in the development of techniques for distinguishing deep lesions like GIST. This study aimed to investigate whether NIR-HSI is suitable for distinguishing deep SMT lesions. In this study, 12 gastric GIST lesions were surgically resected and imaged with an NIR hyperspectral camera from the aspect of the mucosal surface. Thus, the images were obtained ex-vivo. The site of the GIST was defined by a pathologist using the NIR image to prepare training data for normal and GIST regions. A machine learning algorithm, support vector machine, was then used to predict normal and GIST regions. Results were displayed using color-coded regions. Although 7 specimens had a mucosal layer (thickness 0.4–2.5 mm) covering the GIST lesion, NIR-HSI analysis by machine learning showed normal and GIST regions as color-coded areas. The specificity, sensitivity, and accuracy of the results were 73.0%, 91.3%, and 86.1%, respectively. The study suggests that NIR-HSI analysis may potentially help distinguish deep lesions.
Effects of wood resource size and decomposition on hyphal outgrowth of a cord-forming basidiomycete, Phanerochaete velutina
Authors: Fukasawa Yu , Kaga Koji 
Published: December 2020

AbstractTo assess the relationship between resource use and hyphal growth in a cord-forming basidiomycete, Phanerochaete velutina, soil microcosm experiments were conducted using wood blocks of three different sizes in three different soil quantities, thereby simulating the different amounts of available nutrients. The highest percentage weight loss was observed in the smallest wood blocks after a 27-d incubation period in soil microcosms, although the percentage weight loss over the 2-month pure culture colonization prior to inoculation was not significantly different among various block sizes. The greatest hyphal outgrowth was also observed in the smallest wood blocks and was positively associated with wood decay. The slopes of the regression lines between hyphal coverage and percentage wood mass loss were identical among different wood sizes, but the slopes between hyphal coverage and absolute wood mass loss were steeper in the smaller wood blocks than that in largest one. These results suggest that the level of intensity of mycelial foraging for new resources in the soil depends on the percentage of the amount of wood resource utilized, and not on the absolute amount of carbon obtained from the wood.
Human extrahepatic and intrahepatic cholangiocyte organoids show region-specific differentiation potential and model cystic fibrosis-related bile duct disease
Authors: Verstegen Monique M. A. , Roos Floris J. M. , Burka Ksenia , Gehart Helmuth , Jager Myrthe , de Wolf Maaike , Bijvelds Marcel J. C. , de Jonge Hugo R. , Ardisasmita Arif I. , van Huizen Nick A. , Roest Henk P. , de Jonge Jeroen , Koch Michael , Pampaloni Francesco , Fuchs Sabine A. , Schene Imre F. , Luider Theo M. , van der Doef Hubert P. J. , Bodewes Frank A. J. A. , de Kleine Ruben H. J. , Spee Bart , Kremers Gert-Jan , Clevers Hans , IJzermans Jan N. M. , Cuppen Edwin , van der Laan Luc J. W. 
Published: December 2020

AbstractThe development, homeostasis, and repair of intrahepatic and extrahepatic bile ducts are thought to involve distinct mechanisms including proliferation and maturation of cholangiocyte and progenitor cells. This study aimed to characterize human extrahepatic cholangiocyte organoids (ECO) using canonical Wnt-stimulated culture medium previously developed for intrahepatic cholangiocyte organoids (ICO). Paired ECO and ICO were derived from common bile duct and liver tissue, respectively. Characterization showed both organoid types were highly similar, though some differences in size and gene expression were observed. Both ECO and ICO have cholangiocyte fate differentiation capacity. However, unlike ICO, ECO lack the potential for differentiation towards a hepatocyte-like fate. Importantly, ECO derived from a cystic fibrosis patient showed no CFTR channel activity but normal chloride channel and MDR1 transporter activity. In conclusion, this study shows that ECO and ICO have distinct lineage fate and that ECO provide a competent model to study extrahepatic bile duct diseases like cystic fibrosis.
Self-driven WSe2 photodetectors enabled with asymmetrical van der Waals contact interfaces
Authors: Zhou Changjian , Zhang Shouyong , Lv Zhe , Ma Zichao , Yu Cui , Feng Zhihong , Chan Mansun 
Published: December 2020

AbstractSelf-driven photodetectors that can detect light without any external voltage bias are important for low-power applications, including future internet of things, wearable electronics, and flexible electronics. While two-dimensional (2D) materials exhibit good optoelectronic properties, the extraordinary properties have not been fully exploited to realize high-performance self-driven photodetectors. In this paper, a metal–semiconductor–metal (MSM) photodetector with graphene and Au as the two contacts have been proposed to realize the self-driven photodetector. Van der Waals contacts are formed by dry-transfer methods, which is important in constructing the asymmetrical MSM photodetector to avoid the Fermi-level pinning effect. By choosing graphene and Au as the two contact electrodes, a pronounced photovoltaic effect is obtained. Without any external bias, the self-driven photodetector exhibits a high responsivity of 7.55 A W−1 and an ultrahigh photocurrent-to-dark current ratio of ~108. The photodetector also shows gate-tunable characteristics due to the field-induced Fermi-level shift in the constituent 2D materials. What is more, the high linearity of the photodetector over almost 60 dB suggests the easy integration with processing circuits for practical applications.
HypoxamiR-210 accelerates wound healing in diabetic mice by improving cellular metabolism
Authors: Narayanan Sampath , Eliasson Angelstig Sofie , Xu Cheng , Grünler Jacob , Zhao Allan , Zhu Wan , Xu Landén Ning , Ståhle Mona , Zhang Jingping , Ivan Mircea , Maltesen Raluca Georgiana , Botusan Ileana Ruxandra , Rajamand Ekberg Neda , Zheng Xiaowei , Catrina Sergiu-Bogdan 
Published: December 2020

AbstractWound healing is a high energy demanding process that needs a good coordination of the mitochondria with glycolysis in the characteristic highly hypoxic environment. In diabetes, hyperglycemia impairs the adaptive responses to hypoxia with profound negative effects on different cellular compartments of wound healing. miR-210 is a hypoxia-induced microRNA that regulates cellular metabolism and processes important for wound healing. Here, we show that hyperglycemia blunted the hypoxia-dependent induction of miR-210 both in vitro and in human and mouse diabetic wounds. The impaired regulation of miR-210 in diabetic wounds is pathogenic, since local miR-210 administration accelerated wound healing specifically in diabetic but not in non-diabetic mice. miR-210 reconstitution restores the metabolic balance in diabetic wounds by reducing oxygen consumption rate and ROS production and by activating glycolysis with positive consequences on cellular migration. In conclusion, miR-210 accelerates wound healing specifically in diabetes through improvement of the cellular metabolism.
A peanut shell-derived economical and eco-friendly biochar catalyst for electrochemical ammonia synthesis under ambient conditions: combined experimental and theoretical study
Authors: Liu Anmin , Yang Yanan , Ren Xuefeng , Gao Mengfan , Liang Xingyou , Ma Tingli 
Published: December 2020

The electrochemical conversion of N2 to NH3 under ambient conditions is a highly promising alternative to the energy-intensive Haber–Bosch process. As a catalyst for electrocatalytic N2 synthesis of NH3, biochar is a sustainable green material.
Talk Like Me: Supporting Students Who Are African American Using Augmentative and Alternative Communication
Authors: Mindel Mollie G. 
Published: December 2020

Purpose
With the changing demographics, speech-language pathologists are increasingly supporting diverse caseloads. Research and discussion within the profession often look at culturally and linguistically diverse populations as a monolith and may provide heightened focus on the complexity of bi/multilingual communicators who require augmentative and alternative communication (AAC); however, an exclusive focus on African Americans who use AAC is limited within the published body of research. This article aims to open discussion around the unique and specific supports needed to provide ethical services for African Americans who require AAC systems.

Method
A review of published literature across disciplines, including communication disorders, health and medicine, education, and social sciences across the last two decades was synergized with analysis of government and professional organization data sets, and professional reflection based upon clinical experience.

Results
Speech-language pathologists developing a practice embedded with cultural competence and client advocacy will support not only just the AAC user but also their family as primary communication partners. Analysis of the institutional barriers, and how to mitigate the impact, will lead the clinician to culturally responsive intervention strategies.

Conclusions
It is imperative to use culturally responsive techniques from the stage of referral through the assessment and into intervention. Clinicians engaging in a culturally responsive practice will help reduce institutional barriers for African Americans using AAC, while also increasing the participation and engagement of both the person who uses AAC and their family communication partners. Evidence-based practices already being implemented for supporting African Americans with communication disorders can be extrapolated to support the specific subgroup who require AAC for functional communication.
Distributed economic dispatch for power generation with time‐varying loads and external disturbances
Authors: Huang Bomin , Cui Qingfu , Meng Ziyang , Chen Fei 
Published: December 2020

AbstractThe distributed economic dispatch problem for power generation in electricity grids is studies. A simple centralised algorithm is designed to obtain the solution of the dispatch problem without the external disturbances. Inspired by the centralised algorithm, a distributed algorithm is presented using the distributed average tracking algorithm. As far as we know, the proposed algorithm is the first one that is capable of time‐varying loads and external disturbances while the tracking errors are asymptotic convergent. Simulations on the IEEE 14‐BUS system are provided to validate the theoretical results.
Efficiency analysis of polynomial filtering algorithms in navigation data processing for a class of nonlinear discrete dynamical systems
Authors: Stepanov O. A. , Vasiliev V. A. , Basin M. V. , Tupysev V. A. , Litvinenko Y. A. 
Published: December 2020

AbstractA polynomial filtering algorithm is designed for estimating a Markov sequence based on linear measurements. The feature of the estimation problem is that the Markov sequence is described by a nonlinear shaping filter, which is a second‐order polynomial with respect to the state vector components. The algorithm efficiency is illustrated by three examples of navigation data processing. It is shown that the polynomial filter provides accuracy close to the best potential one calculated using the particle filter. At the same time, the amount of computation required to implement this algorithm is much smaller than that for the particle filter. In addition, the polynomial filter provides a consistent calculated accuracy characteristic.
Linearized Bregman iteration based model‐free adaptive sliding mode control for a class of non‐linear systems
Authors: Gao Shouli , Zhao Dongya , Yan Xinggang , Spurgeon Sarah K. 
Published: December 2020

AbstractThere is a growing demand for robust data‐driven control methods particularly for industrial process control. This paper presents a new model‐free adaptive sliding mode control approach for a class of discrete‐time, multiple input and multiple output non‐linear systems. The proposed methodology seeks to address issues with the computation of inverse matrices and problems with singularity in existing methods while at the same time seeking to enhance robustness. A Majorization–Minimization technique and the L1 norm are used within the proposed optimization and an online iterative approach is described for update of the control law. The closed‐loop system response is proved to be stable. The effectiveness of the proposed control is validated by extensive simulation and also experimental results, with the performance obtained by the proposed approach being compared throughout with a well‐known approach from the established literature.
An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion
Authors: Mazaheri Hesam , Abbaspour Ali , Fotuhi‐Firuzabad Mahmud , Moeini‐Aghtaie Moein , Farzin Hossein , Wang Fei , Dehghanian Payman 
Published: December 2020

AbstractIn recent years, increased integration of renewable energy sources (RES) calls for extensive and costly investments in transmission networks. In response, power system decision‐makers try to apply alternative solutions aimed to decrease the imposed investment costs. In this context, the presence of large‐scale energy storage systems (ESSs) in transmission network can be a practical option for deferring investment in expansion plans of transmission lines, alleviating system congestions, and attaining higher flexibility. In this paper, an efficient model is proposed for co‐planning expansion studies of compressed air energy storage (CAES) units and transmission networks. The associated optimisation formulation of co‐planning problem is expressed as a MILP model, which can be efficiently solved. The proposed model is applied on the Garver as well as RTS test systems and N‐1 criterion is considered to address the system reliability performance in expansion studies. The results demonstrate that the proposed co‐planning framework has a superior performance in expansion plans of transmission systems.
Islanding detection for reconfigurable microgrid with RES
Authors: Kumar Pravin , Kumar Vishal , Tyagi Barjeev 
Published: December 2020

AbstractThis paper proposes a new islanding detection technique based on the superimposed angle of negative sequence impedance. The proposed technique is designed with the presence of different types of RES (renewable energy sources) in the system. The proposed technique discriminates the islanding events from non‐islanding events even at 0% power mismatch. It detects the islanding events within a half‐cycle even at the zero power mismatch and also restricts the undesirable tripping due to the several kinds of non‐islanding events. The technique is also able to detect islanding under network reconfiguration. For the range of power mismatches, extensive cases of islanding and non‐islanding events have been simulated. The technique has been illustrated on a 7‐bus reconfigurable microgrid test system with different types of RES in the (RTDS/RSCAD) environment. In this work, islanding has been determined considering each type of RES as targeted DG. The technique has also been demonstrated on a modified IEEE‐34 bus system. A comparison of the obtained results has also been performed.
Contamination degree prediction of insulator surface based on exploratory factor analysis‐least square support vector machine combined model
Authors: Sun Jiaxiang , Zhang Hongru , Li Qingquan , Liu Hongshun , Lu Xinbo , Hou Kaining 
Published: December 2020

AbstractThis study presents a combined model based on the exploratory factor analysis (EFA) and the least square support vector machine (LSSVM) to predict the contamination degree of insulator surface. Firstly, EFA method is utilised to reduce numerous influence factor variables of the insulator contamination into a few factor variables, which could decrease the complexity of the model. Then, regarding the above factor variables as new input variables, LSSVM model is established to predict the insulator contamination degree. In order to obtain the optimal predictive value, the non‐dominated sorting genetic algorithm II is applied on the optimization of LSSVM model parameters. The proposed EFA‐LSSVM combined model is compared with the models of LSSVM, back propagation neural network, and multiple linear regression on the model performance. Results indicate that the EFA‐LSSVM combined model in this study effectively overcomes the shortcomings of the other three models mentioned above in computational time, prediction accuracy and generalization ability. Finally, the feasibility of the proposed model in predicting contamination degree of insulator surface is verified by adopting the radar map of the evaluation indexes of model performance.