cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Өсімдік майын өндіру технологиясы
Creators: name: ELS IPR BOOKS
Publisher: name: EDP Hub (Идипи Хаб), Ай Пи Ар Медиа
Year: 2024

description: Оқу құралында майлы дақылдар және өсімдік майларының өндірісі жайында көптеген мәліметтер толығымен берілген. Оқу құралы «Өсімдік майлары өндірісінің технологиясы» және «Қайта өңдеу өндірістерінің технологиясы» мамандықтарында оқитын, жоғары білім алатын студенттерге, сондай-ақ магистранттарға, докторанттарға, ғылыми қызметкерлер мен мұғалімдерге арналған және «Азық-түлік өнімдерінің өндірісі» мамандығын бакалаврларға оқыту барысында «Өсімдік майын өндіру технологиясы» пәніне арналған.
title: Мақсары майынан фосфолипид концентраттарын өндіру технологиялары
Creators: name: ELS IPR BOOKS
Publisher: name: EDP Hub (Идипи Хаб), Ай Пи Ар Медиа
Year: 2024

description: Монографияда мақсары майынан фосфолипид концентраттарын өндіру технологиясы қарастырылған. Мақсары өсімдік майының фосфолипид концентраттарының химиялық құрамы, ерекшеліктері, физика-химиялық қасиеттері және оларды тамақ өндірісінде пайдалану аясы баяндалған. Монография өсімдік майын өндіру технологиясының мамандарына, магистранттарға, докторанттарға, ғылыми қызметкерлер мен жоғары білім беру оқытушыларына арналған. «Азық-түлік өнімдерінің өндірісі» мамандығын оқыту барысында «Өсімдік майын өндіру» технологиясы пәніне арналған.
Study of the Optical Properties of Complex Ice Crystal Aggregates.
Application to the remote sensing of dry and mixed-phase snowfall
Creators: name: Ori, Davide <1987>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2016
Subjects: FIS/06 Fisica per il sistema terra e il mezzo circumterrestre

description: Snowfall is a prominent component of the Earth’s hydrologic cycle. Global observations of snowfall are essential for the monitoring of the status of the  Earth system, and because of their wide coverage, nowadays, remote sensing instruments  are fundamental tools in the measurement of precipitation. 
The principal uncertainty in the interpretation of radar data are the scattering properties of the hydrometeors which are  strictly connected to their microphysical characteristics. The presented study propose a comprehensive approach that analyze the all snow physical characteristics: single particle modeling, snowfall automatic microphysical retrieval, scattering simulations and remote sensing.
A state of the art snow aggregation algorithm (SAM) has been implemented to model the snowflake accurate morphology, simulating the basic physical governing phenomena of  snow formation and growth. The algorithm has been further extended to model the initial stage of snowflake melting. The snowflake models are used as input of computer scattering simulations.
The analysis of the radiative properties obtained with the spherical models and the complex aggregated particles produced by SAM shows that the former are inadequate to represent the scattering characteristics of large aggregated particles.
An innovative methodology has been developed to automatically estimate the mean snow mass-size relation using particle size distribution, velocity fits, snow accumulation and Rayleigh radar reflectivity. The radar reflectivities at Ka and W band simulated with T-matrix spheroidal models and using the retrieved mass-dimensional relation cannot match the observation. When the same simulation is performed with the usage of DDA scattering calculations the results reproduce better the observed radar reflectivities. This outcome gives validity to both the microphysical and the scattering model.
A multi-perspective approach, that simultaneously include the microphysical and scattering simulation of snowflake properties, is the way forward to solve the uncertainties related to snowfall remote sensing.
Optical Techniques for Experimental Tests in Microfluidics
Creators: name: Puccetti, Giacomo <1988>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2016
Subjects: ING-IND/10 Fisica tecnica industriale

description: This PhD dissertation deals with the use of optical, non-invasive measurement techniques for the investigation of single and two-phase flows in microchannels. Different experimental techniques are presented and the achieved results are critically discussed.  

Firstly, the inverse use of the micro Particle Image Velocimetry technique for the detection of the real shape of the inner cross-section of an optical accessible microchannel is shown by putting in evidence the capability of this technique to individuate the presence of singularities along the wetted perimeter of the microchannel.  Then, the experimental measurement of the local fluid temperature using non-encapsulated Thermochromic Liquid Crystal particles is discussed. A deep analysis of the stability of the color of these particles when exposed to different levels of shear stress has been conducted by demonstrating that these particles can be used for simultaneous measurements of velocity and temperature in water laminar flows characterized by low Reynolds numbers (Re < 10). A preliminary experiment where the TLC thermography is coupled to the APTV method for the simultaneous measurement of the three-dimensional velocity and temperature distribution in a microchannel is shown. Finally, an experimental analysis of the different flow patterns observed for an adiabatic air-water mixture generated by means of a micro T-junction is discussed. The main air-water mixture features have been deeply observed in 195 different  experimental conditions in which values of superficial velocity ranging between 0.01 m/s and 0.15 m/s for both the inlet flows (air and water) are imposed. The flow patterns of the air-water mixture are strongly influenced by the value of the water superficial velocity; on the contrary, the air superficial velocity plays a secondary role for the determination of the characteristics of the bubbles (i.e. length).
Disentangling the Role of Transitory Starch Storages in Plant  Development and in Osmotic Stress Response
Creators: name: Pirone, Claudia <1987>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2016
Subjects: BIO/04 Fisiologia vegetale

description: Starch is a polymer of D-glucose that plants accumulate as semi-crystalline and osmotically inert granules. Besides being the major energy storage in plants, starch is of primary importance also in human and animal diet, industry and biofuels production. Two kinds of starch, structurally indistinguishable, but different for location and rates of synthesis and degradation are found in plants: secondary starch (characterized by long term-accumulation and found in storage organs) and transitory starch (mainly located in chloroplasts, produced during the day and degraded the subsequent night to meet the energy demand of the plant). Due to its structure, several enzymes are required in starch biosynthesis and degradation, controlling distinct features of starch granules and conferring different physical-chemical properties. Here, the TILLING approach was used on the barley TILLMore population to identify new alleles in five genes related to secondary starch metabolism and known to be expressed in barley seeds. Moreover, the role in Arabidopsis development of the (phospho)glucan, water dikinase proteins (GWD1, GWD2, PWD), known to be involved in nighttime transitory starch degradation, was investigated. Other enzymes, such as β-amylase 1 (BAM1) and α-amylase 3 (AMY3), were demonstrated to be involved in diurnal transitory starch degradation in specialized cells or under stress conditions. Here, we demonstrated that carbon skeletons deriving from BAM1 diurnal degradation of transitory starch support the biosynthesis of proline, a compatible solute, required to face osmotic stress. Moreover, the behaviour of Arabidopsis BAM1 and AMY3 enzymes under oxidative treatments and the possible role of glutathionylation, a redox post-translational modification occurring mainly under stress conditions and promoted by ROS, were investigated. AtBAM1 and AtAMY3 were found to be sensitive to oxidants and glutathionylated, with a modulatory and protective effect on protein activity.
Simulation of narrowband non-Gaussian processes using envelope distribution
Creators: name: Tsuchida, Takahiro
name: Kimura, Koji
Publisher: name: The University of British Columbia
Year: 2015

description: An envelope distribution approach is developed for generation of a class of narrowband non-Gaussian processes. The process is prescribed by the probability density and the specified power spectrum with the non-zero dominant frequency. The proposed approach is based on the method using stochastic differential equations. In order to construct the stochastic differential equations, it is required to find a joint probability distribution, which takes the form derived from the corresponding Fokker-Planck equation and has the target non-Gaussian distribution as the marginal distribution. In the present method, the joint distribution is obtained from the envelope distribution corresponding to the target non-Gaussian probability density. The proposed approach is applicable to generation of narrowband processes with a variety of non-Gaussian probability densities. Two numerical examples are presented to illustrate the usefulness of the approach.
淋巴瘤微环境多组学研究
Creators: name: 王慧芳(Huifang Wang)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Genome sequencing
Transcriptome or Gene expression
Multiisolate

description: 淋巴瘤微环境多组学研究，单细胞转录组，bulk转录组，全基因组
非小细胞肺癌预后标志物的探索
Creators: name: 冯慧晶(Huijing Feng)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Genome sequencing
Exome
Multiisolate
Medical

description: 对101例中国单中心晚期非小细胞肺癌样本进行研究，基于NGS测序探索一线治疗相关的预后标志物
Supplementary document for Multiple-scattering simulator-trained neural network for intensity diffraction tomography - 6218791.pdf
Creators: name: Matlock, Alex
name: Zhu, Jiabei
name: Tian, Lei
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Biomedical Engineering not elsewhere classified
Biological Sciences not elsewhere classified

description: Supplemental document discussing the IDTNet architecture, training protocols, and additional simulation and experimental results.
Dimorphic flower in SInoSwertia，an annual alpine herb
Creators: name: 朱铭佳(Mingjia Zhu)
Publisher: name: CNGB
Year: 2022
Subjects: Genome sequencing and assembly
Raw sequence reads
Multispecies
Agricultural

description: a genomic resource of SInoSwertia, with both the high-depth whole genome sequencing data making it valuable dataset for dimorphic flower researches and applications.
The use of 3-nitropropionic acid to create a model of aging in mice
Creators: name: Ardinger, Cherish
Publisher: name: Maryland Shared Open Access Repository
Year: 0

description: (M.A.) -- Towson University, 2016
description: This experiment was designed to create an aging model in mice that is more cost-effective, time-efficient, and easier for the animals to recover from than traditional models. This model was designed using intraperitoneal (IP) injections of 3-nitropropionic acid (3NP), a mitochondrial toxin that is known to damage the striatum. The striatum has been shown in previous literature to play a large role in the aging process. This experiment compared two cumulative doses of 3NP: 540 mg/kg, 720 mg/kg, and a saline control. The 540 mg/kg dose was given at either a steady dose every other day or an increasing dose given twice a day. These dosing schedules were both compared to one another and control mice to assess which was the most effective at creating cognitive and motor deficits when mice receiving these respective treatments were tested on the Stone T-Maze (STM) and rotarod. It was found that an escalating dose of 3NP impaired retention in the STM and motor function on the rotarod task.
description: http://library.towson.edu/cdm/ref/collection/etd/id/47953
A nonlinear wavelet density-based importance sampling for reliability analysis
Creators: name: Wang, Wei
name: Dai, Hongzhe
Publisher: name: The University of British Columbia
Year: 2015

description: Importance sampling is a commonly used variance reduction technique for estimating reliability of a structural system. The performance of importance sampling is critically dependent on the choice of the sampling density. For the commonly used adaptive importance sampling method, the construction of the sampling density relies on the kernel-based density estimation. However, the choice of the initial bandwidth of the local windows may heavily affect the accuracy of the kernel method, particularly when the number of samples is not very large. To overcome this difficulty, this study develops a new adaptive importance sampling method based on nonlinear wavelet thresholding density estimator. The method utilizes the adaptive Markov chain simulation to generate samples that can adaptively populate the important region. The importance sampling density is then constructed using nonparametric wavelet density to implement the importance sampling. The methods takes advantage of the attractive properties of the Daubechies’ wavelet family (e.g., localization, various degrees of smoothness, and fast implementation) to provide good density estimations. Compared with the kernel density estimator, the nonlinear wavelet thresholding density estimator has a high degree of flexibility in terms of convergence rate and smoothness. Moreover, the choice of the initial parameters slightly affects the accuracy of the method. Two examples are given to demonstrate the proposed method.
BRCA1胚系基因变异与结直肠癌家系研究
Creators: name: 郭亚荣
Publisher: name: CNGB
Year: 2022
Subjects: Exome
Targeted Locus (Loci)
Monoisolate
Medical

description: BRCA1胚系基因突变，多癌种家系研究，特殊表型结直肠癌
Dimension reduction methods for reliability problems
Creators: name: Breitung, Karl
Publisher: name: The University of British Columbia
Year: 2015

description: In reliability problems in high dimensional spaces it is important to identify the essential structure of the problem. Which variables can be neglected and which not? Here statistical dimension reduction methods help to simplify the complexity of structures. FORM/SORM can be seen as early example of dimension reduction concepts. Since these approaches do not rely on the smoothness properties of the limit state functions, they can be applied also for problems with noise. Three such methods are described. Further an approach giving the SORM factor as a ratio of small surface areas is outlined.
Mining the human tonsillar microbiota as modulators of host autoimmunity
Creators: name: 李静(Jing Li)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Synthetic

description: The present study focus attention on the apparently whole-body effects of the tonsillar microbiome and show how different Streptococcus species contribute significantly to induction or suppression of autoimmunity.
Circle-Seq Reveals Genomic and Disease Specific Hallmarks in Urinary Cell Free eccDNAs
Creators: name: 潘晓光(Pan Xiaoguang)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Other
Human Urine
Medical

description: Extrachromosomal circular DNA (eccDNA) is evolving as a valuable biomarker while little is known about its presence in urine. Here we report the discovery and analysis of urinary cell free eccDNAs (ucf-eccDNA) in healthy controls and patients with advanced chronic kidney disease (CKD) by Circle-Seq. Millions of unique ucf-eccDNAs are identified and comprehensively characterized. The ucf-eccDNAs are GC rich. Most ucf-eccDNAs are less than 1000 bp and are enriched in four pronounced peaks at 207, 358, 553 and 732 bp. Analysis of genomic distribution of ucf-eccDNAs shows that eccDNAs are found in all chromosomes but enriched in chromosomes 17, 19 and 20 with high density of protein-coding genes, CpG islands, SINE and simple repeat elements. Analysis of eccDNA junction sequences further suggests that microhomolgy and palindromic repeats might be involved in eccDNA formation. The ucf-eccDNAs in CKD patients are significantly higher than healthy controls. Moreover, eccDNA with miRNA genes are highly enriched in the CKD ucf-eccDNA.
Application of expert judgment to the quantification of a damage scale for reinforced concrete buildings exposed to fire
Creators: name: Ioannou, Ioanna
name: Rush, David
name: Bisby, Luke
name: Aspinall, Willy
name: Rossetto, Tiziana
Publisher: name: The University of British Columbia
Year: 2015

description: Essential in the fire fragility assessment of mid-rise reinforced concrete buildings is a relevant damage scale. This study adopts expert elicitation to construct a damage scale relevant to the slabs of these buildings by relating thresholds of four structural response measures (i.e., spalling, residual capacity, peak rebar temperature and deflection) to three qualitatively described damage states of increasing severity. The opinions of thirteen international experts are pooled together using Cooke’s Classical Model, which recognizes that uncertainty exists around each damage state threshold and seeks to quantify it. Compared to an approach which weights exert opinions equally, this Model results, in most cases, in conservative estimates of the damage state thresholds associated with well-constrained uncertainty. Areas where more research is needed are also identified. These areas include the determination of the thresholds of the first three measures when the extensively damaged slab cannot be repaired, and of the residual capacity of any of the three considered damage states.
Analytical Methods for Evaluating the Immunogenicity of Recombinant Rabies Virus Glycoprotein Expressed in the Yeast Komagataella phaffii
Creators: name: Askri, Hana
name: Kallèl, Hela
name: Rourou, Samia
name: Snoussi, Mohamed Ali
name: Lachheb, Jihene
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Rabies is a fatal viral disease preventable by vaccination. The multiple-dose regimens, along with the high production costs of current rabies vaccines, limit their use in rabies-endemic countries with developing economies and consequently there is a need for new efficacious, low-cost rabies vaccines. This study investigates the immunogenicity of recombinant rabies virus glycoprotein (rRABVG), expressed in the yeast Komagataella phaffii (K. phaffii), as a candidate subunit rabies vaccine. Monoclonal antibodies were used to confirm neutralizing epitopes presence on the rRABVG. The rRABVG potency was estimated by antigen quantification methods using ELISA and SRID. Serological methods, specifically ELISA and RFFIT, were applied to investigate the immune response of mice groups immunized with rRABVG varying doses, with or without adjuvant. The potency estimated by antigen quantification was dependent on the method employed. Active immunization assessment using ELISA was effective when the solid-phase antigen is the rRABVG. The RFFIT data indicated that a single adjuvanted dose of 20 µg rRABVG is sufficient for virus-neutralizing antibodies induction at a protective level of 0.5 IU/mL within 10 days post immunization. These data demonstrate that K. phaffii produced rRABVG is immunoactive and could be an attractive candidate to develop a low-cost subunit rabies vaccine.
Correlation and Clinical Significance of HBD-2 and CXCL-1/2 Levels at Skin Lesions with Psoriasis Vulgaris Severity
Creators: name: Lin, Ling
name: Luo, Quan
name: Gao, Xinjing
name: Li, Qian
name: Li, Wei
name: Zhou, Xin
name: Liu, Weiyu
name: Zhong, Xuelian
name: Yang, Yunqing
name: Zhang, Xibao
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Mental Health

description: This study was performed to explore the clinical significance of the expression of human beta-defensin 2 (HBD-2) and chemokine ligand 1/2 (CXCL-1/2) in psoriasis vulgaris. This study retrospectively included the study group (n = 160) and control group (n = 100) for analysis. The levels of inflammatory indicators, blood biochemical indicators, and immune indicators using ELISA. The psoriasis area and severity index (PASI) was used to evaluate disease severity. Levels of HBD-2, CXCL-1, CXCL-2 and CCL20 were determined by RT-PCR. The correlations of HBD-2, CXCL-1 and CXCL-2 levels with CCL20 and PASI scores were analyzed. The diagnostic value of HBD-2, CXCL-1 and CXCL-2 in psoriasis vulgaris was analyzed by ROC curve. HBD-2, CXCL-1 and CXCL-2 were highly expressed in the lesions of psoriasis vulgaris patients, and were positively correlated with CCL20 and PASI score. HBD-2, CXCL-1 and CXCL-2 alone or in combination had high diagnostic value for psoriasis vulgaris and severe psoriasis, and the combined diagnostic value of the three was higher than that of a single indicator. HBD-2, CXCL-1, and CXCL-2 levels are closely related to the severity of psoriasis vulgaris and can effectively diagnose the occurrence and progression of psoriasis vulgaris.
title: On the Proximate and Ultimate Explanations of Sex Differences in Anxiety and Anxiety Disorders
Creators: name: Majorova, Sylvie
Publisher: name: Diamond Open Access Journals at Cambridge
Year: 2022
Subjects: subject: anxiety
subject: anxiety disorders
subject: sex differences
subject: evolutionary explanation
subject: testosterone

description: During their lifetime, women are twice as likely to meet the diagnostic criteria for an anxiety disorder compared to men (Baxter et al., 2013). However, studies investigating the mechanisms underlying these sex differences often focus on different levels of analysis, making it more difficult to incorporate findings from these different studies. This article synthesises and reviews a selection of these analyses to provide a better-integrated representation of the mechanisms underlying sex differences. It uses the framework of four questions developed by Tinbergen in 1963, disentangling the potential proximate and ultimate mechanisms involved. This article describes the evidence for different explanations, with a particular focus on testosterone, which is presented as a possible link between different correlates of anxiety. Analysis of ultimate mechanisms include the evaluation of the optimality approach of behavioural ecology as well as the approach of evolutionary psychology. The signal detection theory suggests that some sex differences in anxiety may be adaptive, whereas the theories of evolutionary psychology suggest a mismatch between current and past environments in our species history. Overall, it is not supported that there would be a single explanation at any level of analysis.
miR-34a-5p Predicts the Risk of Diabetic Neuropathic Pain and Mediates Neuroinflammation in Microglia via Targeting ENPP3
Creators: name: Zhang, Peiguo
name: Wang, Chenghua
name: Li, Chengxia
name: Wang, Jing
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Virology

description: The pathogenesis of diabetic neuropathic pain (DNP) is complex involving various processes, which need exploring reliable biomarkers for its early detection and severity prediction. Study enrolled 181 patients diagnosed with diabetes, among which 74 patients developed DNP. Serum miR-34a-5p levels were compared between DNP patients and non-DNP patients by polymerase chain reaction (PCR), and the potential of miR-34a-5p in predicting the risk and discriminating patients with DNP was evaluated. The regulatory effect of miR-34a-5p on the inflammation, proliferation, and polarization of microglia was evaluated in HMC3 cells treated with high glucose. Upregulated miR-34a-5p was identified as a risk factor and discriminated DNP patients miR-34a-5p was positively correlated with the levels of triglyceride (r = 0.797), fasting blood glucose (r = 0.840), and glycated hemoglobin (r = 0.894) of DNP patients. In HMC3 cells, the high-glucose-induced inflammation, promoted cell growth and caused polarization. The knockdown of miR-34a-5p showed the significant protective effect of microglia activation by high glucose, which was reversed by silencing ENPP3. miR-34a-5p served as a biomarker for the prediction and early detection of DNP and mediated microglia inflammation caused by DNP via modulating ENPP3.
Genetics and Pathogenesis of follicular lymphoma
Creators: name: 张会来(Huilai Zhang)
Publisher: name: CNGB
Year: 2022
Subjects: Genome sequencing and assembly
Raw sequence reads
Genome sequencing
Exome
Variation
Multiisolate
Medical

description: Specific aims: To identify genetic subtypes of follicular lymphoma (FL) based on shared genomic abnormalities and to uncover therapeutic vulnerabilities based on tumor genetics. Relevance: FL is a clinically and genetically heterogeneous disease and still considered to be incurable. Genomic sequencing studies in FL have focused on recurrent mutations in individual genes, revealing oncogenic mechanisms. We hypothesized that a nosology of FL based on shared genetic pathogenesis could aid in our understanding of treatment response and identify therapeutic vulnerabilities. Herein, we uncovered genetic subtypes of FL with distinct genotypic, epigenetic, and clinical characteristics through whole-genome integrative analysis. The genetic features of the newly characterized subsets, their mutational signatures, and the temporal ordering of identified alterations provide new insights into FL pathogenesis. The coordinate genetic signatures also predict outcome and suggest precision-medicine strategies in FL.
Development of empirical vulnerability curves for electrical supply systems subjected to wind hazard
Creators: name: Dunn, Sarah
name: Wilkinson, Sean
name: Galasso, Carmine
name: Manning, Lucy
name: Alderson, David
Publisher: name: The University of British Columbia
Year: 2015

description: In this paper, we develop a series of empirical vulnerability curves for energy distribution infrastructure in the UK, specifically for overhead line components, when subjected to wind storm hazard. We have achieved this by combining an atmospheric model, driven by reanalysis data, with empirical fault data from 1991 to 2010. The fault data used in this study comes from a national database of electricity distribution faults. While the fault data in this database is comprehensive, it has the deficiency of not recording the exact location of the fault, instead it only indicates which District Network Operator owned the asset. Better fault location information is available, but this is only available from the Operator. We also investigate the sensitivity of vulnerability curves to three different resolutions of the fault information; namely by Operator, Region and Area in order to evaluate the impact that this has to the vulnerability curve. From the results shown in this paper, we can conclude that the spatial resolution of the hazard data can have a significant impact to the vulnerability curve, particularly for large wind storm hazards.
Transcriptomic signatures of follicular lymphoma
Creators: name: 张会来(Huilai Zhang)
Publisher: name: CNGB
Year: 2022
Subjects: Genome sequencing and assembly
Raw sequence reads
Genome sequencing
Transcriptome or Gene expression
Variation
Monoisolate
Medical

description: FL is a clinically and genetically heterogeneous disease and still considered to be incurable. While significant advances have been made in our understanding of FL biology, genomic studies to date have primarily focused on prognostic (M7-FLIPI), pathological designation (Grade 1-3b), or understanding transformation to DLBCL. This presents an opportunity for a comprehensive characterization of FL. Using a novel cohort of FL tumors, we explored the transcriptomic signature of FL and identified unique molecular subsets which are defined by distinct pathway activation, immune content, and genomic signatures. Our study improves the understanding of the mechanisms driving FL tumors and motivates further investigation into transcriptional consequences of genetic events, as well as potential tumor intrinsic factors that may influence the TME.
title: Өсімдік майын өндіру технологиясы
Creators: name: ELS IPR BOOKS
Publisher: name: EDP Hub (Идипи Хаб), Профобразование
Year: 2024

description: Оқу құралында майлы дақылдар, эфирлік майлы дақылдар, талшықты дақылдар сипатталған. Майлы дақылдардың химиялық құрамы, Өсімдік майларын өндіру және өңдеу техникасы мен технологиясы көрсетілген. Май мен маргарин өндірісінің технологиялық негіздері қарастырылған. Оқу құралы «Өсімдік майын өндіру технологиясы» пәнін оқитын техникалық және кәсіптік білім беру студенттеріне арналған.
胃炎、胃粘膜上皮内瘤变及胃癌组织中差异lncRNA表达分析
Creators: name: 刘新媛
Publisher: name: CNGB
Year: 2022
Subjects: Genome sequencing and assembly
Multiisolate

description: Differential Long Non-coding RNA Expression Analysis in Chronic Non-atrophic Gastritis, Gastric Mucosal Intraepithelial Neoplasia, and Gastric Cancer Tissues
Supplementary document for Localized Transverse Flow Measurement with Dynamic Light Scattering Line-Scan OCT - 6218876.pdf
Creators: name: HAN, LE
name: Tan, Bingyao
name: Schmetterer, Leopold
name: Bizheva, Kostadinka
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary file
Inhibitory effects of GT0918 on acute lung injury and the molecular mechanisms of anti-inflammatory response
Creators: name: 刘聪(CongLiu)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Monoisolate
Medical

description: GT0918, a novel androgen receptor antagonist, accelerated viral clearance and increased recovery rate in outpatients by blocking SARS-CoV-2 infection though down-regulating ACE2 and TMPRSS2 expression.Here, we found GT0918 decreased the expression and secretion of proinflammatory cytokines through NF-κB signaling pathway. The acute lung injury induced by LPS or Poly(I:C) was also attenuated in GT0918-treated mice, compared with vehicle control group. Moreover, GT0918 elevated the NRF2 protein level but not mRNA transcription activity. GT0918 induced proinflammatory cytokines downregulation was partially dependent on NRF2.
Who works with whom? Collaboration ties in legislative policy-making networks
Creators: name: HAEGE, FRANK
name: Ringe, Nils
Publisher: name: University of Limerick
Year: 2024
Subjects: classificationCode: 440708
subject: Public administration

description: Social relations have the potential to shape who assumes policy leadership positions in legislative politics. Applying a relational event modeling framework, this paper investigates if homophily and reciprocity predict patterns of collaboration between lawmakers as they negotiate proposed legislation. Specifically, it examines if members of the European Parliament (EP) who serve as rapporteurs or shadow rapporteurs are more likely to select into working with colleagues who share their personal attributes or with whom they have previously collaborated. It conceives of EP policy-making as an evolving two-mode network comprised of legislators and jointly produced policy documents as nodes, and (shadow-) rapporteurships as ties. Conditional logistic regression analyses confirm that previous collaboration, shared native language and gender, as well as policy expertise, increase the likelihood of MEPs becoming (shadow-)rapporteurs. In contrast, party loyalty shows no clear, unambiguous effect.
O'YIN NOMLARIDA METAFORIK KO'CHIM XUSUSIYATLARI
Creators: name: Matmusayeva, Muhayyo
Publisher: name: Zenodo
Year: 2025

description: ushbu maqola bolalar o‘yin nomlarida metaforik nominatsiya xususiyatlariga bag'ishlangan bo'lib, bir predmet, belgi, harakatning nomini boshqa bir predmet, belgi, harakatga ko‘chirish yo‘li bilan nomlarning yasalishi yoritib berilgan.
结直肠癌单细胞测序数据
Creators: name: 王菲
Publisher: name: CNGB
Year: 2022
Subjects: Transcriptome or Gene expression
Multiisolate

description: 该项目包含7例结直肠癌肝转移的单细胞测序数据，分别包括原发灶及癌旁对照、肝脏转移灶及癌旁以及外周血的测序数据。
Risk-based optimization of adaptable protection measures against natural hazards
Creators: name: Špačková, Olga
name: Dittes, Beatrice
name: Straub, Daniel
Publisher: name: The University of British Columbia
Year: 2015

description: Risk protection measures against natural hazards are typically costly structures with a long lifespan. Their design should therefore take into account possible future changes in risk, e.g. due to socio-economic development and climate change. These future changes are uncertain, and one possibility for coping with these uncertainties is building adaptable risk protection systems, which allow later alterations with low cost. The challenge is to quantitatively evaluate how cost-effective such systems are. This paper proposes a formal quantitative measure of adaptability and it introduces a general decision model using Bayesian decision analysis for quantification and optimization of the risk protection systems taking into account their adaptability. The decision model is applied on a numerical example of risk-based optimization of flood protection measures under different scenarios of climate change. The numerical investigations show that for non-adaptable measures, a conservative design is recommendable, while for adaptable systems, the optimal initial capacity is lower because their potential future adjustments are not costly. Furthermore, the value of adaptability is evaluated, and it is found that building adaptable measures is not significantly more cost-effective. It is concluded that in most situations, a conservative design is preferable, as the additional risk reduction due to the conservative design is beneficial under all possible future scenarios.
Characterization of measurement uncertainties in crack profiles assessed by in-line inspection tools
Creators: name: Koduru, Smitha D.
name: Lu, Dongliang
name: Skow, Jason B.
Publisher: name: The University of British Columbia
Year: 2015

description: Measurement quantities representing crack profile geometric parameters are evaluated for their influence on the failure pressure of pipelines. Several representative cases of pipe designs are considered to isolate the influence of geometric parameters from that of pipe parameters such as pipe size, grade, wall thickness, and toughness. The results indicate the ratio of crack profile area to the crack length as the most influential geometric quantity. Using this measurement quantity, it becomes straightforward to evaluate the reliability of the ILI measurements for crack profiles and quantify the associated measurement uncertainties with probabilistic measures.
肝脏转录组测序探究肠道真菌对扑热息痛诱导的急性肝衰竭的影响
Creators: name: 何卓恩(HE ZHUOEN)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Transcriptome or Gene expression
Monoisolate

description: 应用氟康唑对6-8周雄性C57BL/6J小鼠进行14天给药以诱导肠道真菌紊乱，于第15天对乙酰氨基酚给药进行急性肝衰竭模型制备，24小时候取材获得肝脏，并进行转录组测序。
Advancements in AI-Based Voice Assistants: Enhancing Accessibility and User Interaction
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: Artificial Intelligence (AI)-based voice assistants have become a transformative force in human-computer interaction,significantly reshaping how individuals engage with digital devices and services. These intelligent systems, including popularexamples like Siri, Alexa, and Google Assistant, leverage natural language processing (NLP), machine learning (ML), and speechrecognition technologies to understand, interpret, and respond to voice commands. This paper explores the recent advancementsin AI-based voice assistants, focusing on their contributions to enhancing accessibility for individuals with disabilities, facilitatinginclusive communication, and improving overall user interaction across various sectors. By examining the technologicalfoundations, real-world applications, and challenges of voice assistants, the paper highlights their potential to create moreintuitive, personalized, and universally accessible digital experiences. It also delves into ethical concerns such as data privacy,bias in voice recognition, and the need for equitable access to these technologies. Through an in-depth analysis, this studyemphasizes the growing role of AI voice assistants in shaping a more connected and accessible digital future.
title: Vom Umgang mit Abwehrreaktionen gegen diskriminierungssensible Sprache
title: Dealing with defence reactions against discrimination-sensitive language
titleType: AlternativeTitle
Creators: name: Gaedecke, Claudia
Publisher: name: Medien- und Informationszentrum, Leuphana Universität Lüneburg
Year: 2023

description: Dass die Gleichberechtigung von Menschen ebenso wie die Würde eines jeden Menschen etwas Gutes ist - dem werden in einer demokratischen und pluralistischen Gesellschaft die meisten zustimmen können. In der praktischen Umsetzung dieser abstrakten Aussage jedoch zeigen sich Probleme. In dieser Arbeit geht es um die Herausforderung, wie die gesellschaftlich reale Vielfalt und die Ideale der Menschenrechte und der Gleichheit sprachlich umgesetzt werden können bzw. wie es gelingt, angemessene Begriffe für umstrittene Sachverhalte zu finden. Diskriminierungssensible Sprache im Sinne dieser Arbeit ist eine Sprache, die sich bemüht, Minderheiten, nichtprivilegierte Personen und Standpunkte zu erkennen, zu achten und angemessen zu berücksichtigen. Sie könnte auch als gerechte Sprache, Sprache der Vielfalt und Gleichheit, menschenfreundliches oder "anerkennungsorientiertes Sprechen" bezeichnet werden. Hinsichtlich der Bemühungen um sprachliche Umsetzung sozialer Gerechtigkeit ist in unserer Gesellschaft ein oft heftig geführter Streit entbrannt. Auf der einen Seite wollen Gruppen, die bisher wenig Gehör fanden, Ungleichheiten z.B. aufgrund der geschlechtlichen oder ethnischen Zuschreibungen nicht mehr akzeptieren und verlangen von ihren Mitmenschen, dass dies u.a. in der Art, wie über und mit ihnen gesprochen wird, zum Ausdruck kommen möge. Auf der anderen Seite möchten viele die alten sprachlichen Regeln und Gewohnheiten beibehalten. Sie empfinden neue Wortschöpfungen als überflüssig oder falsch
title: Die Pflanzplanung eines nachhaltigen Waldgartens am Beispiel des Hof an den Teichen
title: Site design of a sustainable food forest illustrated by the example of Hof an den Teichen
titleType: AlternativeTitle
Creators: name: Rumpf, Lia Kristin
Publisher: name: Medien- und Informationszentrum, Leuphana Universität Lüneburg
Year: 2022
Subjects: classificationCode: 577
subject: 577 Ökologie

description: Neben den Folgen der industriellen Landwirtschaft lassen sich weltweit degradierte Böden, massives Artensterben und ein zunehmender anthropogener Klimawandel verzeichnen. Um diesen Trend zu brechen, muss Landwirtschaft neu gedacht und transformiert werden. Dafür bedarf es innovativer und vor allem nachhaltiger Landnutzungskonzepte. Einen Beitrag zu einem solchen zukunftsfähigen Landnutzungskonzept können Waldgärten leisten. Dabei handelt es sich um mehrschichtige Systeme, welche multifunktional die natürliche Struktur von Wäldern und Waldrändern imitieren. Auf diese Weise können verschiedene Funktionen erfüllt werden, wie beispielsweise die Produktion von vielfältigen Lebensmitteln. Bisher ist das Konzept des Waldgartens in Deutschland noch nicht weit verbreitet. Es wurde bisher wenig wissenschaftliche Forschung auf dem Gebiet betrieben, und in Deutschland existieren bisher nur wenige Waldgärten. In anderen Ländern bestehen hingegen schon länger erste Erfahrungen oder auch schon lange Traditionen mit Waldgärten. Im Folgenden wird die Fallstudie Hof an den Teichen vorgestellt, zusammengefasst, welche Vorarbeiten bereits stattgefunden haben, und das Forschungsziel und die Forschungsfragen hergeleitet.
Models for Evaluation of Biological Age Based on Multi-omics
Creators: name: 黄策(Huang Ce)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Proteome
Transcriptome or Gene expression
Multiisolate
Medical

description: We performed transcriptome-focused multi-omics analyses (including transcriptomics, DNA methylation, proteomics and single-cell transcriptome sequencing) on healthy individuals aged 23 to 88 years. We systematically analyzed linear and non-linear changes in gene expression throughout aging.
The computational complexity of probabilistic Interdependent Network Design Problems
Creators: name: González, Andrés D.
name: Dueñas-Osorio, Leonardo
name: Sánchez-Silva, Mauricio
name: Medaglia, Andrés L.
Publisher: name: The University of British Columbia
Year: 2015

description: We present a rigorous study of the computational complexity of an Interdependent Network Design Problem (INDP) solution model, which is at the core of future infrastructure restoration studies. The paper details how each constraint in the INDP formulation adds to the overall complexity, while also revealing strategies to tame the computational demands for large interdependent networks. It is shown how some algorithms that are used to enhance the Network Design Problem (NDP) (Poss 2011), including decomposition techniques, can be cleverly adapted to the INDP model. Computational examples are based on diverse yet idealized topologies, to illustrate the sensitivity of the INDP model to input parameters and constraints, as well as the underlying topological properties of the studied systems. The present study paves the way for future approaches to improve the INDP and its Mixed-Integer Programming (MIP) model, particularly in terms of its efficiency and capability to handle large size instances, and by extension, its ability to support practical infrastructure decision making and resilience analyses.
Molecular Portrait of GIST associated with clinicopathological features:
Creators: name: 闫娜(Na Yan)
Publisher: name: CNGB
Year: 2022
Subjects: Raw sequence reads
Monoisolate
Other
Cancer Genetics and Oncogenomics

description: The purpose of this study was to investigate the relationship between molecular variation and clinicopathological features in GIST patients by targeted next-generation sequencing (NGS), in order to deepen the understanding of GIST individualized treatment.
The role of fiber volume fraction in tensile strength of fibrous composites
Creators: name: Rypl, Rostislav
name: Vořechovský, Miroslav
name: Chudoba, Rostislav
Publisher: name: The University of British Columbia
Year: 2015

description: It has been proved experimentally that a finer crack pattern in brittle matrix composites with heterogeneous fibrous reinforcement increases the reinforcement efficiency in terms of fiber strength by up to 100 %. In the present paper, we simulate this phenomenon by a semi-analytical model of a composite crack bridge based on probabilistic fiber bundle models. The model is able to quantify the reinforcement efficiency increase with finer crack spacing given the information on the reinforcement heterogeneity. Possible sources of heterogeneity are variabilities in fiber diameter, modulus of elasticity or bond quality. With finer crack spacing, the heterogeneous stress state of the reinforcement is homogenized which leads to a more efficient load bearing behavior. Since the crack spacing is (within the practical range of values) a monotonic function of the fiber volume fraction and fiber diameter, these quantities should be taken into account in structural analysis and design of composites with heterogeneous reinforcement.
Risk management of multi-state multi-component bridge systems using partially observable Markov decision processes
Creators: name: Shafieezadeh, Abdollah
name: Fereshtehnejad, Ehsan
Publisher: name: The University of British Columbia
Year: 2015

description: Infrastructure systems play a critical role in providing continuous services to societies. Exposure to stressors such as aging, demand loads, and environmental factors threatens the functionality and safety of infrastructure systems, highlighting the necessity for proper decision-making frameworks. Toward this goal, in the light of imperfect asset condition state evaluation, this paper presents a stochastic framework based on partially observable Markov decision process (POMDP) for the determination of optimal maintenance actions. A feature of this approach is its ability to effectively and accurately manage large scale, multi-state multi-component bridge systems. To overcome the dimensionality curse of the decision-making for such large systems without losing accuracy, the “counting process” state reduction technique is applied and conformed in a novel way. Further, to significantly reduce the computational runtime while keeping the accuracy in a high level, a randomized point-based value iteration POMDP is utilized. The proposed framework is applied to a case study bridge system with four steel girders and one concrete deck. Results of 12 random runs showed acceptable convergence in the optimized average expected long-run reward. The applied framework provides optimal policies for the concrete deck and girders in each of the possible states. It is also concluded that the combination of the POMDP decision-making framework and the “counting process” technique gives rise to an efficient and accurate approach for the optimal management of large scale systems.
Quantile random-coefficient regression with interactive fixed effects: Heterogeneous group-level policy evaluation
Creators: name: Xu, Ruofan
name: Gao, Jiti
name: Oka, Tatsushi
name: Whang, Yoon–Jae
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: We propose a quantile random-coefficient regression with interactive fixed effects to study the effects of group-level policies that are heterogeneous across individuals. Our approach is the first to use a latent factor structure to handle the unobservable heterogeneities in the random coefficient. The asymptotic properties and an inferential method for the policy estimators are established. The model is applied to evaluate the effect of the minimum wage policy on earnings between 1967 and 1980 in the United States. Our results suggest that the minimum wage policy has significant and persistent positive effects on black workers and female workers up to the median. Our results also indicate that the policy helps reduce income disparity up to the median between two groups: black, female workers versus white, male workers. However, the policy is shown to have little effect on narrowing the income gap between low- and high-income workers within the subpopulations.
16S rDNA测序比较肠道真菌紊乱对小鼠肠道细菌的影响
Creators: name: 何卓恩(HE ZHUOEN)
Publisher: name: CNGB
Year: 2022
Subjects: Genome sequencing
Multispecies

description: 应用氟康唑对6-8周雄性C57BL/6J小鼠进行14天给药以诱导肠道真菌紊乱，于给药第14天收集小鼠粪便，提取粪便总DNA并进行16S rDNA测序
INNOVATIVE APPROACHES TO TRAINING MUSIC TEACHERS THROUGH INTEGRATION OF FOLK ART EXAMPLES INTO THE EDUCATIONAL PROCESS
Creators: name: Rakhimova, Aziza
Publisher: name: Zenodo
Year: 2025

description: This article discusses the issues of forming professional and cultural competencies of future music teachers through the integration of folk art examples into the process of music education. It is analyzed that educational materials based on traditional folk songs, epics, maqoms and national melodies serve as an important tool in developing aesthetic taste, national values and artistic observation skills in students.