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Accurately and efficiently predicting the fundamental-frequency temporal shape of broadband long-pulsed lasers is very important in research on the properties of high-power laser amplifiers. In this study, we first propose that analytic electric polarization in the temporal domain is applied to broadband long-pulsed pulse amplification. We first verify the accuracy of this algorithm in the dozens of picoseconds range and the results are consistent with Miro software. Then we simulate thedoi:10.3788/col201614.031405 fatcat:zagqd6cwrrgo3mrgxkfwe6aehi
more »... nd long-pulsed amplification. The simulation results indicate that the front edge of the output pulse is more enlarged than the end edge owing to saturation and that the gain narrowing induces severe amplitude modulation. Analytic electric polarization in the temporal domain is effective and precise for investigating the broadband pulse amplification in the time scale from dozens of picoseconds to nanoseconds, and the computation time can be decreased by at least 4 orders of magnitude.
We use the Onsager principle to derive a two-phase continuum formulation for the hydrodynamics of the electrorheological (ER) fluid, consisting of dielectric microspheres dispersed in an insulating liquid. Predictions of the theory are in excellent agreement with the experiments. In particular, it is shown that whereas the usual configuration of applied electric field being perpendicular to the shearing direction can lead to shear thinning at high shear rates and thus the loss of ER effect, thedoi:10.1103/physrevlett.101.194503 pmid:19113272 fatcat:sehanjv3crfuxmcfrbevl6p4mu
more »... interdigitated, alternating electrodes configuration can eliminate the shear-thinning effect.
BackgroundLocal cellular microenvironment plays a crucial role in the HPV-induced cervical malignant transformation. Characterization of the dynamic infiltration changes of microenvironment cells during cervical carcinogenesis would contribute to a better understanding of involved mechanisms.MethodsThree public gene expression datasets of cervical squamous epithelium samples were collected and combined. We applied seven up-to-date computational methods for infiltrating estimation and compareddoi:10.3389/fimmu.2022.888176 pmid:35911729 pmcid:PMC9330475 fatcat:ay6pndjpr5gezmwmlasmbs22cq
more »... eir results (CD4+ and CD8+ T cells) to the known fraction. After benchmarking the applied methods, the cell filtration patterns were determined and clustered through fuzzy c-means algorithm.ResultsMost methods displayed better performance in predicting the abundance of CD4+ T cell than that of CD8+ T cell. The infiltration patterns of 33 microenvironment cell types (including 31 immune cells and 2 non-immune cells) were determined, and five immune cell clusters with distinct features were then derived. Meanwhile, opposite changes in abundance were observed between the activated and resting state of some immune cells from the progression perspective.ConclusionsBased on characteristics and evaluation performance of different methods, as well as previous findings, for the first time we provide a comprehensive overview of the infiltration patterns of microenvironment cells throughout cervical cancer progression.
Australian multi-award-winning novelist Thea Astley was a great writer in promoting feminism and ecofeminism in her later years' writing. This paper analyzes her fourth Miles Franklin award novel — Drylands from the perspective of ecofeminism. From analysis, it draws a conclusion that Astley makes a lot of efforts to raise readers' awareness that her women characters' liberation depends on their economic independence but it will be a hard and long way to achieve the final emancipation of women and total equality between women and men.doi:10.7575/aiac.alls.v.11n.3p.42 doaj:5796aa242cb24c5caf999f368d8d29c6 fatcat:7vy3pzudhfbkrcp5n4qmniubt4
The study of Mendelian diseases and the identification of their causative genes are of great significance in the field of genetics. The evaluation of the pathogenicity of genes and the total number of Mendelian disease genes are both important questions worth studying. However, very few studies have addressed these issues to date, so we attempt to answer them in this study. We calculated gene pathogenicity prediction (GPP) score by a machine learning approach (random forest algorithm) todoi:10.1101/553362 fatcat:daxaeqnym5ah7e5nycssgvyuem
more »... e the pathogenicity of genes. When we applied the GPP score to the testing gene set, we obtained accuracy of 80%, recall of 93% and area under the curve (AUC) of 0.87. Our results estimated that a total of 10,399 protein-coding genes were Mendelian disease genes. Furthermore, we found the GPP score was positively correlated with the severity of disease. Our results indicate that GPP score may provide a robust and reliable guideline to predict the pathogenicity of protein-coding genes. To our knowledge, this is the first trial to estimate the total number of Mendelian disease genes.
Objective To summarize the reasons of clavicular fracture in newborn, discuss strategies on the prevention and nursing treatment . Methods Review and analyze etiopathogenisis of 23 cases with clavicular fracture in newborn from January 2017 to December 2019 in Dongguan People's Hospital (China) and discuss their nursing treatment methods. Results Causes of clavicular fracture in newborn are mostly due to shoulder dystocia and a small part of that result from the birth process anomalies ordoi:10.6913/mrhk.202006_2(2).0005 fatcat:dby25iuchjc2ffwrucwmerzjr4
more »... ence of medical personnel. All children of clavicle fractures in newborn partially fixed affected limb, can reach clinical cure after six weeks. Conclusion Correctly assessing the fetal weight, selecting the appropriate mode of parturition, proper handling the birth process anomalies, and establishing a good sense of responsibility with medical personnel can reduce the incidence of clavicular fracture in newborn. Neonatal clavicular fracture after a short partial brake can completely heal without sequela.
In addition, Zhang  improved the accuracy of the ROLO model for NIR spectrum. ... Zhang  compared the two models using earth-based observations. The obtained results indicate that ROLO is more consistent with the earth-based observations rather than MT2009. ...doi:10.3390/s20174690 pmid:32825258 fatcat:su5bp2mg7rfnhlzcsqf5xuld5i
AbstractBACKGROUND & AIMSFecal microbiota transplantation (FMT) has been proved to be efficient in treating Clostridium difficile infection disease, yet its efficacy in treating Inflammatory bowel disease including Crohn's Disease (CD) and Ulcerative Colitis (UC) at molecular level are blank.METHODSWe performed a parallel study of patients with moderate to severe CD (Harvey-Bradshaw Index ≥ 7) and UC (Montreal classification, S2 and S3). Patients were treated with single FMT (via mid-gut, fromdoi:10.1101/439687 fatcat:n6izp2gptzgq3jzw3sak7himsa
more »... ealthy donors; n = 15). All participants had their fecal samples collected and shotgun sequenced before FMT and during their follow-up visits. The primary outcome was clinical remission and that of CD is defined as a decrease of Harvey-Bradshaw > 3, clinical remission of UC is defined as a decrease of Mayo score > 3. To describe and quantify the change of gut microbiota of IBD patients after FMT, we monitored strain populations in 44 fecal samples. Besides, we built a machine learning model to predict the existence and abundance of post-FMT patients' species compositions.RESULTSOf all 15 patients, 3 days after FMT treatment, 8 out of 11 CD patients were relieved, 3 out of 4 UC patients were relieved (Table S1).We observed the transfer of donor strains to recipient was more abundant in UC than in CD patients, persisting the follow-up time points. Besides, same-donor recipient differs in the degree of microbiota transfer. Furthermore, through building random forest classification and regression model, results showed that both the presence and abundance of some post-FMT patients' species were predicable, indicating a possibility of precision engineering of the recipients' gut microbiota under the FMT treatment.CONCLUSIONSFMT treatment efficiency differed in CD and UC patients and post-FMT patients' mOTU composition was predictable in our data set.
Although database search tools originally developed for shotgun proteome have been widely used in immunopeptidomic mass spectrometry identifications, they have been reported to achieve undesirably low sensitivities and/or high false positive rates as a result of the hugely inflated search space caused by the lack of specific enzymic digestions in immunopeptidome. To overcome such a problem, we have developed a motif-guided immunopeptidome database building tool named IntroSpect, which isdoi:10.1101/2021.08.02.454768 fatcat:nygunaiyefahbitwtzkvp4kagm
more »... d to first learn the peptide motifs from high confidence hits in the initial search and then build a targeted database for refined search. Evaluated on three representative HLA class I datasets, IntroSpect can improve the sensitivity by an average of 80% comparing to conventional searches with unspecific digestions while maintaining a very high accuracy (~96%) as confirmed by synthetic validation experiments. A distinct advantage of IntroSpect is that it does not depend on any external HLA data so that it performs equally well on both well-studied and poorly-studied HLA types, unlike a previously developed method SpectMHC. We have also designed IntroSpect to keep a global FDR that can be conveniently controlled, similar to conventional database search engines. Finally, we demonstrate the practical value of IntroSpect by discovering neoantigens from MS data directly. IntroSpect is freely available at https://github.com/BGI2016/IntroSpect.
A novel microfluidic pressure sensor which can be fully integrated into polydimethylsiloxane ͑PDMS͒ is reported. The sensor produces electrical signals directly. We integrated PDMS-based conductive composites into a 30 m thick membrane and bonded it to the microchannel side wall. The response time of the sensor is approximately 100 ms and can work within a pressure range as wide as 0-100 kPa. The resolution of this micropressure sensor is generally 0.1 kPa but can be increased to 0.01 kPa atdoi:10.1063/1.3230500 pmid:20216961 pmcid:PMC2835279 fatcat:y5em4fddqjfdjbw3yukp4a4pt4
more »... h pressures as a result of the quadratic relationship between resistance and pressure. The PDMS-based nature of the sensor ensures its perfect bonding with PDMS chips, and the standard photolithographic process of the sensor allows one-time fabrication of three dimensional structures or even microsensor arrays. The theoretical calculations are in good agreement with experimental observations.
This paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition. The CLDTP descriptor encodes the directional and contrast information in a local region, so it contains the gradient orientation information and the gradient magnitude information. As the dimension of the CLDTP histogram is much lower than the dimension of the LDTP histogram, the CLDTPdoi:10.1155/2015/360186 fatcat:6ocmsaea4bfo7kkbhm6g7qlvwe
more »... has higher computational efficiency and it is suitable for image matching. Extensive experiments have validated the effectiveness of the designed CLDTP descriptor.
Gated ZnO nanowire field emitter arrays (FEAs) have important applications in large-area vacuum microelectronic devices such as flat panel X-ray sources and photodetectors. As the application requires high-pixel-density FEAs, how the pixel density affects the emission performance of the gated ZnO nanowire FEAs needs investigating. In this paper, the performance of coaxis planar -gated ZnO nanowire FEAs was simulated under different pixel sizes while keeping the lateral geometric parameter indoi:10.3390/nano12050870 pmid:35269358 pmcid:PMC8912392 fatcat:i6wbkryxrzajpgy22yeaiwuk2m
more »... portion. The variations in emission current and gate modulation with pixel size were obtained. Using the obtained device parameters, the coaxis planar-gated ZnO nanowire FEAs were prepared. Field emission measurement results showed that a current density of 3.2 mA/cm2 was achieved from the fabricated ZnO nanowire FEAs when the gate voltage was 140 V. A transconductance of 253 nS was obtained, indicating effective gate control. The improved performance is attributed to optimized gate modulation.
AbstractBackgroundGene promoter methylation plays a critical role in a wide range of biological processes, such as transcriptional expression, gene imprinting, X chromosome inactivation, etc. Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene expression levels capture adequate information todoi:10.1101/438218 fatcat:oet4lkm4kjc4xodwl2uut5ndr4
more »... t the target gene expression levels. Moreover, the methylation level of the promoter is usually negatively correlated with its corresponding gene expression. This result inspired us to propose that the methylation level of the promoters might be adequate to reconstruct the promoter methylation level of target genes, which would eventually reduce the cost of promoter methylation profiling.ResultsHere, we developed a deep learning model (D-GPM) to predict the whole-genome promoter methylation level based on the methylation profile of the landmark genes. We benchmarked D-GPM against three machine learning methods, namely, linear regression (LR), regression tree (RT) and support vector machine (SVM), based on two criteria: the mean absolute deviation (MAE) and the Pearson correlation coefficient (PCC). After profiling the methylation beta value (MBV) dataset from the TCGA, with respect to MAE and PCC, we found that D-GPM outperforms LR by 9.59% and 4.34%, RT by 27.58% and 22.96% and SVM by 6.14% and 3.07% on average, respectively. For the number of better-predicted genes, D-GPM outperforms LR in 92.65% and 91.00%, RT in 95.66% and 98.25% and SVM in 85.49% and 81.56% of the target genes.ConclusionsD-GPM acquires the least overall MAE and the highest overall PCC on MBV-te compared to LR, RT, and SVM. For a genewise comparative analysis, D-GPM outperforms LR, RT, and SVM in an overwhelming majority of the target genes, with respect to the MAE and PCC. Most importantly, D-GPM predominates among the other models in predicting a majority of the target genes according to the model distribution of the least MAE and the highest PCC for the target genes.
IFIP Advances in Information and Communication Technology
The technological innovation in electronics makes nowadays mobile phone more than a simple communication tool: it becomes a portable electronic device with integrated functions, such as listening to music, watching movies, taking photos, etc. To achieve these, many kinds of advanced sensor are used. In this paper, several applications of sensor in smart phone are introduced including Image Sensor, Fingerprint Identification Sensor, Photo-electric Sensor, Acceleration Sensor, etc. The trend ofdoi:10.1007/978-3-642-18336-2_59 fatcat:5ouqnbceyrayfhvr4mggvanbzy
more »... e mobile phone, 3I (Intellignet, Interaction and Internet), will have all kinds of sensor more and more popular in mobile phones to change our life.
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