bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on a novel and improved incremental conductance method
Authors: Sun Chunhu , Ling Jing , Wang Jing 
Published: April 2022

Abstract
Aiming at the unsatisfactory effect of MPP tracking when the light intensity changes rapidly, a novel and improved incremental conductance method is proposed based on the study of PV battery output characteristics and incremental conductance method of photovoltaic power generation system. The paper firstly introduces the photovoltaic power generation system; secondly, it analyzes and studies the traditional incremental conductance method and summarizes its shortcomings; then, according to the shortcomings of the traditional incremental conductance method, a novel and improved method is proposed. Incremental conductance method, divided and analyzed the four sections of the I-U characteristic curve and designed the variable-step incremental conductance method; finally, built the simulation of the traditional incremental conductance method and the improved incremental conductance method in the Matlab/Simulink environment The two algorithms are compared and simulated under the condition of rapid change of light intensity. The simulation results show that when the light intensity changes rapidly, the novel improved incremental conductance method not only has the advantages of no oscillation in steady state and fast response speed, but also can make the system output more power and improve the efficiency of photovoltaic power generation , which better realizes the fast and accurate tracking of MPP.
TCERG1L hypermethylation is a risk factor of diabetic retinopathy in Chinese children with type 1 diabetes
Authors: Jin Peiyao , Qian Yu , Xiao Ying , Lin Qiurong , Xiang Zhaoyu , Cui Lipu , Sun Jiaqi , Li Sicong , Qin Xinran , Yang Chenhao , Zou Haidong 
Published: April 2022

Abstract
Background: To identify the differential methylation sites (DMS) and their according genes associated with diabetic retinopathy (DR) development in type 1 diabetes (T1DM) children. Methods/Results: This study consists of two surveys. 40 T1DM children with no DR participated in the first survey. Their DNA methylation status was assessed by the Illumina methylation 850K array BeadChip assay. Comparison of the methylation patterns was made between participants with macular retinal thinning (cases) and the others (controls). The second survey included 27 T1DM children, among which 4 had DR. Pyrosequencing was used to validate the results of the 850K array, and the methylation patterns of four DMS was compared between participants with and without DR.In the first survey, the 850K array revealed 751 sites significantly and differentially methylated in the case group comparing with the controls (|Δβ|> 0.1 and Adj.P-value <0.05), while 328 of these were identified with a significance of Adj.P<0.01. Among these, 319 CpG sites were hypermethylated and 432 were hypometh­ylated in the case group relative to the controls. Four of the identified DMS with a potential role in diabetes were chosen to be validated in the second survey. Pyrosequencing revealed that the TCERG1L (cg07684215) gene was hypermethylated in the four T1DM children with DR (p=0.018), which was consistent with the result from the first survey. The methylation status of PDXK, PARK2 and PPARG showed no difference (all p>0.05) between participants with and without DR.Conclusions: The hypermethylation of the TCERG1L gene is a risk factor for DR development in Chinese children with T1DM.
Evidence of plasma lunar tide in the Earth-Moon system
Authors: Xiao Chao , He Fei , Shi Quanqi , Liu Wenlong , Tian Anmin , Guo Ruilong , Yue C. , Zhou Xu-Zhi , Wei Yong , Rae Ian , William Degeling Alexander , Angelopoulos Vassilis , Masongsong Emmanuel , Liu Ji , Zong Qiu-Gang , Fu Suiyan , Pu Zuyin , Zhang Xiaoxin , Wang Tieyan , Wang Huizi , Zhang Zhao 
Published: April 2022

Abstract
Tides are universal, significantly affecting spatially distributed systems, from planetary to galactic scales. In the Earth-Moon system, lunar tides have been studied in the solid Earth, liquid ocean, and neutral gas-dominated atmosphere (including the ionosphere). However, whether a lunar tide effect exists over wider plasma dominated regions has remained unexplored until now. Here we show direct evidence of a lunar tide signal in the plasmasphere, a typical cold “plasma ocean” in the Earth-Moon space, by analyzing variations in its boundary location over the past four decades from multi-satellite observations. This signal possesses distinct diurnal (and monthly) periodicities, surprisingly different from the semidiurnal (and semimonthly) variations dominant in the atmosphere, ocean, and solid Earth, with tidal surface perturbations of up to ~800 km via disturbing the electric field. These results demonstrate the importance of lunar tidal effects in plasma dominated regions of Earth-moon space, opening new perspectives for understanding Moon-atmosphere-magnetosphere coupling process through gravity and electromagnetic forces, and has implications for tidal interactions in other two-body celestial systems.
Polymerization of the backbone of the pectic polysaccharide rhamnogalacturonan I
Authors: Amos Robert , Atmodjo Melani , Huang Chin , Gao Zhongwei , Venkat Aarya , Taujale Rahil , Kannan Natarajan , Moremen Kelley , Mohnen Debra 
Published: April 2022

Abstract
Rhamnogalacturonan I (RG-I) is a major plant cell wall pectic polysaccharide defined by its repeating disaccharide backbone structure of [4)-α-d-GalA-(1,2)-α-l-Rha-(1,]. A family of RG-I:Rhamnosyltransferases (RRT) has previously been identified, but synthesis of the RG-I backbone has not been demonstrated in vitro because the identity of Rhamnogalacturonan I:Galaturonosyltransferase (RG-I:GalAT) was unknown. Here, a putative glycosyltransferase, At1g28240/MUCI70, is shown to be an RG-I:GalAT. The name RGGAT1 is proposed to reflect the catalytic activity of this enzyme. When incubated together with the rhamnosyltransferase RRT4, the combined activities of RGGAT1 and RRT4 result in elongation of RG-I acceptors in vitro into polymeric product. RGGAT1 is a member of a new GT family categorized as GTx that is phylogenetically distinct from the GALACTURONOSYLTRANSFERASE (GAUT) family of GalA transferases that synthesize the backbone of the pectin homogalacturonan (HG). RGGAT1 has a predicted GT-A fold structure, but employs a metal-independent catalytic mechanism that is rare among glycosyltransferases with this fold type, suggesting that RG-I biosynthesis has functionally diverged from the mechanisms used for synthesis of HG and other plant cell wall polysaccharides.
Does Body Mass Index Affect Embryonic Mosaicism?
Authors: Abittan Baruch , Frankel Robyn , Gamma Amber , Goldman Randi 
Published: April 2022

Abstract
Purpose: To examine the association between body mass index (BMI) and embryonic aneuploidy and mosaicism by trophectoderm biopsy with preimplantation genetic testing for aneuploidy (PGT-A). Methods: This was a retrospective cohort study evaluating 602 women who underwent undergoing their first fresh autologous stimulation cycles wherein all embryos were biopsied for PGT-A analysis from January 2016 through December 2019 in a multicenter academic fertility practice. Associations between BMI (kg/m2) and rates of euploidy (2016-2019) and mosaicism (2018-2019), including low-level (LL), high-level (HL), whole chromosome, and segmental mosaicism, were determined using forward stepwise multivariable Poisson regression.Results: 3,020 embryos from 602 cycles were available for analysis. Most patients were of normal weight (N=323) or overweight (N=143), or had class I obesity (N=80). Overall, 21% of patients in the cohort had obesity (BMI >30). There was no difference in overall euploid or mosaicism rate stratified by BMI. Compared with normal BMI, underweight (adjusted relative risk, aRR: 3.57 [1.31-9.78]), overweight (1.57 [1.01-2.43]), and obesity (1.55[1.03-2.35]) were each associated with significantly increased risks of LL mosaicism (6.6% vs. 20.8%, 10.0%, and 9.1%, respectively). Overweight BMI was associated with lower rates of HL (8.3% vs 3.7%, aRR: 0.39 [0.21-0.75]) and whole chromosome mosaicism (3.7% vs. 7.3%, aRR: 0.48 [0.26-0.91]) compared to normal BMI.Conclusions: While the overall rate of mosaicism was similar among BMI categories, both low and high BMI were associated with increased rates of LL mosaicism, and overweight was associated with decreased rates of HL and whole chromosome mosaicism compared to normal BMI.
Changes of choroidal thickness after orthokeratology lens in myopic children: a systematic review and meta-analysis
Authors: xiao jie , Pan Xinghui , Hou Chenting , Peng Hui , Li Jinjian , Yi Wendan , Wang Qing 
Published: April 2022

Abstract
Aims: This article aimed to assess the changes of subfoveal choroidal thickness (SFCT) in different follow-up durations for myopic children under the treatment of orthokeratology and give a reference for further studies.Method: Relevant publications were comprehensively retrieved through different databases, such as PubMed, Web of Science, Cochrane Library and Chinese database of Wan Fang and Wei Pu. Retrieval time was from the inception to February 2022. Standardized mean difference (SMD) and 95% confidence interval (95% CI) were selected as the effect for calculating and analyzing the changes of choroidal thickness in myopic children with orthokeratology.Result: A total of eight articles of 371 Patients (371 eyes) met our inclusion criteria. During the first month of wearing orthokeratology, choroidal thickness dramatically increased by 21.09 μ m (95%CI: 25.64, 16.7; P<0.00001). After the first month, it rose slightly, even became stable in next eleven months’ treatment (increased by 4.20 μm from the first month to the third month, 95%CI: 9.37, 0.9; P=0.11; increased by 3.99μm from the first month to the sixth month, 95%CI: 8.67, 0.6; P=0.09; increased by 2.99μm from the first month to the twelfth month, 95%CI: 7.76, 1.7; P=0.02).Conclusion: This meta-analysis demonstrated that in the first month with orthokeratology, choroidal thickness presented an obvious increase, after that it became stable or got a slightly rise for the longer following-up treatment.
Detecting Diseases in Medical Prescriptions Using Data Mining Methods
Authors: Nazarinezhad Sana , Zahedi Mohammad Hadi , Farahani Elham 
Published: April 2022

Abstract
Misdiagnosis or late diagnosis of diseases is currently at the forefront of medical errors. These errors not only lead to the death or disability of a significant number of patients around the world each year [1], but also have an indirect impact on the professional life of doctors and the quality of services provided by them. Furthermore, the complaints raised as a result of such errors have always been one of the most important stressors for doctors [2].
Data mining in the medical industry to diagnose and predict diseases has become one of the fields of interest for researchers in recent years [3]. Our aim in this paper is to use data mining methods to find knowledge in a dataset of medical prescriptions provided by the www.Drugs.com site. By analyzing the drugs prescribed for each disease, our proposed method aims to predict the category of each disease and the type of disease that the patient suffers from.
In general, the results of this research can be used by, for example, the medical staff of a hospital, including the specialists and general practitioners to reduce the misdiagnosis error rate and also have more confidence in the correctness of the disease diagnosis and the prescribed medication. At the same time, the patients can have more trust in the correct diagnosis of their disease and the prescribed drugs. In addition, it can reduce the cost of compensating for medical errors which could, in turn, lead to lowering the expenses of medical insurance companies. Finally, these results can be used as a basis for future research in this field.
Our collected dataset includes details such as the name of the disease, the category of the disease, and the names of the drugs prescribed for each patient. To label the cases, a team of doctors has identified each patient’s disease. A number of experiments have been conducted to compare the performance of different data mining techniques for disease prediction, and the results show that the proposed stacking model is more accurate than other data mining techniques such as Nave Bayes.
Monolithic photonic integrated circuit based on silicon nitride and lithium niobate on insulator hybrid platform
Authors: Jiang Yongheng , Han Xu , Huang Haijin , Zhang Pu , Dubey Aditya , Xiao Huifu , Yuan Mingrui , Frigg Andreas , Nguyen Thach , Boes Andy , Li Yingtao , Ren Guanghui , Su Yikai , Mitchell Arnan , Tian Yonghui 
Published: April 2022

Abstract
Lithium niobate on insulator (LNOI) has been demonstrated as a promising platform for photonic integrated circuits (PICs), thanks to its excellent properties such as strong electro-optic effect, low material loss and wide transparency window. In this paper, we propose and demonstrate a monolithic PIC for high-speed data communication application on a lithium-niobate-etchless platform with silicon nitride (Si3N4) as a loading material. The fabricated PIC consists of four racetrack resonator modulators and a pair of four-channel mode (de)multiplexers, which shows high data modulation rate of 70 Gbps for single channel and the total data throughput reaches up to 280 Gbps. To the best of our knowledge, this is the first demonstration of PIC consisting of high-speed electro-optical modulators and (de)multiplexers with such high data capacity on Si3N4-LNOI hybrid platform, which opens up new avenues for achieving large-scale monolithic integration on LNOI platform in future.
When climate skeptics turn vaccine enthusiasts: An analysis of audience segments on climate change and COVID-19 in Australia
Authors: Richardson Lucy M. , Thaker Jagadish , Holmes David C. 
Published: April 2022

Abstract
Denialism and spreading of misinformation have occurred regarding both climate change and COVID-19, delaying uptake of critical actions. Audience segmentation analysis identifies audience subgroups likely to have similar responses to messaging, and is a valuable tool for effective campaigns encouraging critical behaviors in both contexts. This study compared audience segmentations based on a representative sample of 1054 Australians. One segmentation was based on ‘Global Warming’s Six Americas’ online SASSY tool. The second segmentation applied the Theory of Planned Behavior and found five distinct COVID-19 vaccine segments. Results show both those most concerned and those most skeptical in the climate change segmentation continuum tended to be in more enthusiastic COVID-19 vaccine segments, while those in the center on climate change were more skeptical on COVID-19 vaccines. Differences identified relating to age, gender, religion, and political views may be explained by a combination of the specific nature and histories of these issues. These findings have implications for effective communication on science and health issues across diverse disciplines.
Optical tweezers based on nonlinear focusing
Authors: Haddadi S. , Ait-Ameur K. 
Published: April 2022

Abstract
Recently, some authors have proposed to add an optical Kerr effect (OKE) while focusing the Gaussian beam (GB) enlightening an optical trap. These authors conclude that the introduction of a nonlinear lensing (NL) is benefit to the optical trapping capacity. The proposed modelling was based on the Gaussian approximation (GA) which assimilates the Kerr lensing effect to a pure lensing effect free from any aberration. In this paper, we evaluate the longitudinal and radial figures of merit of the optical trap based on NL by using a diffraction integral taking into account the aberration associated with the OKE. The conclusion is that the GA modelling underestimates (overestimates) the improving of the longitudinal (radial) trapping ability of the optical trap. In summary, what is gained in the longitudinal efficiency of the nonlinear trap is lost in the radial force which decreases thereby reducing the possibility to keep trapped the particle.
Clinical utility of combined assessments of 4D volumetric perfusion CT, diffusion- weighted MRI and 18 F-FDG PET-CT for the prediction of outcomes of head and neck squamous cell carcinoma treated with chemoradiotherapy
Authors: Matoba Munetaka , Tsuchiya Hirokazu , Nishino Yuka , Ota Kiyotaka , Doai Mariko , Nagata Hiroji , Tuji Hiroyuki 
Published: April 2022

Abstract
Background: Multiparametric imaging has been seen as a route to improved prediction of chemoradiotherapy treatment outcomes. Four-dimensional volumetric perfusion CT (4D PCT) is useful for whole-organ perfusion measurement, as it reflects the heterogeneity of the tumor and its perfusion parameters. However, there has been no study using multiparametric imaging including 4D PCT for the prognostic prediction of chemoradiotherapy. The purpose of this study was to determine whether combining assessments of 4D PCT with diffusion-weighted MRI (DWI) and 18F-fluorodeoxyglucose PET-CT could enhance prognostic accuracy in head and neck squamous cell carcinoma (HNSCC) patients treated with chemoradiotherapy. Methods: We examined 53 patients with HNSCC who underwent 4D PCT, DWI and PET-CT before chemoradiotherapy. The imaging and clinical parameters were assessed the relations to locoregional control (LRC) and progression-free survival (PFS) by logistic regression analyses. A receiver operating characteristic (ROC) analysis was performed to assess the accuracy of the significant parameters identified by the multivariate analysis for the prediction of LRC and PFS. We additionally assessed using the scoring system whether these independent parameters could have a complementary role for the prognostic prediction. Results: The median follow-up was 30 months. In multivariate analysis, blood flow (BF; p=0.02) and blood volume (BV; p=0.04) were significant prognostic factors for LRC, and BF (p=0.03) and skewness of the ADC histogram (p=0.02) were significant prognostic factors for PFS. A significant positive correlation was found between BF and BV (ρ= 0.6, p<0.001) and between BF and skewness (ρ= 0.46, p<0.01). The ROC analysis showed that prognostic accuracy for LRC of BF, BV, and combination of BF and BV were 77.8%, 70%, and 92.9%, and that for PFS of BF, skewness, and combination of BF and skewness were 55.6%, 63.2%, and 77.5%, respectively. The scoring system demonstrated that the combination of higher BF and higher BV was significantly associated with better LRC (p=0.04), and the combination of lower BF and lower skewness was significantly associated with worse PFS (p=0.004). Conclusion: A combination of parameters derived from 4DPCT and ADC histograms may enhance prognostic accuracy in HNSCC patients treated with chemoradiotherapy.
Smart capacitive e-skin takes soft robots beyond proprioception
Authors: Hu Delin , Giorgio-Serchi Francesco , Zhang Shiming , Yang Yunjie 
Published: April 2022

Abstract
Proprioception, the ability to perceive posture, position, and movement, is a prerequisite for accurate body control in animals and robots. The lack of three-dimensional full-body proprioceptive sense has become a key constraint for fundamental breakthroughs in bioinspired soft robots. Here, we report a type of flexible capacitive e-skins to endow soft robots with high-resolution, full-geometry bodily awareness beyond existing proprioception systems. We demonstrate that our intrinsically-stretchable e-skin can capture complex three-dimensional deformations across the entire soft body through recursive, multi-position capacitance measurements. The e-skin signals can be directly translated to high-density point clouds portraying the complete geometry via the deep net. This augmented proprioception system providing millimeter-scale, global sensory-motor awareness can offer a crucial solution to fundamental problems in soft robotics, such as enabling precise closed-loop control and developing digital twins of soft robots.
Antifungal compound from marine Serratia marcescens BKACT and its potential activity against Fusarium sp.
Authors: Kharat Bharat A , Said Madhukar S , Dastager Syed G. G 
Published: April 2022

Abstract
Ecofriendly biocontrol agents to control of pathogenic fungi are in demand globally. The present study was evaluated the antifungal potentials of marine bacteria Serratia marcescens BKACT against eight different Fusarium species. A highest 75.5 ± 0.80% of mycelial inhibition was observed against Fusarium foetens NCIM 1330. Structural characterization of the purified compound was analyzed by GC-MS and NMR techniques, based on the analysis it is confirmed as 2, 4- di-tert butyl phenol (2, 4-DTBP) with chemical structure C14H22O. at 0.53mM concentration purified compound inhibited complete spore germination of F. foetens NCIM 1330. In vitro assay showed complete inhibition of F. foetens NCIM 1330 on the wheat seeds. Tested concentration doesn’t show any toxic effect on germination of the seeds. By this study we conclude that, 2, 4- DTBP a suitable candidate to be used as biocontrol agent against Fusarium infection.
The combination of early biopsy diagnosis, chemotherapy, and autologous stem cell transplantation has achieved good results in unilateral primary adrenal lymphoma: A case report
Authors: Huang Lu , Shuai Xiao , Zhang Tingting , Kuang Pu , Zhang Dan , Chen Tao , Tian Haoming , Xiang Bing , Ren Yan 
Published: April 2022

Abstract
Primary adrenal lymphoma (PAL) is a sporadic malignant disease characterized by a high level of invasiveness and a poor prognosis. Symptoms are atypical, making it difficult to obtain an accurate early diagnosis. Some patients may have fever, night sweats, weight loss, lumbar and abdominal pain, and adrenal insufficiency. Certain clinical signs and biochemical characteristics can help clinicians make an early and rapid diagnosis to prevent a delay in treatment. Here, we report a case of a female patient with unilateral PAL and low back pain. After rapid diagnosis, R-CHOP chemotherapy combined with autologous peripheral stem cell transplantation was administered; the patient's condition improved significantly, and her prognosis was good. There was no recurrence during a follow-up period of more than two years.