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C2020-010 exam Dumps Source : IBM SPSS Modeler Professional v2

Test Code : C2020-010
Test Name : IBM SPSS Modeler Professional v2
Vendor Name : IBM
Q&A : 55 Real Questions

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IBM IBM SPSS Modeler Professional

Predictive Analytics application market's visionary leaders illuminated through new file | killexams.com Real Questions and Pass4sure dumps

IBM tops the listing of vendors within the predictive analytics software house in accordance with a quadrant currently launched by means of 360Quadrants, followed intently by Oracle and SAP SE. IBM’s SPSS Modeler become rated the optimum in product high-quality, reliability, and breadth and depth of providing. IBM SPSS Modeler also captured the excellent spot in standards like geographic footprint and viability of enterprise.

360Quadrants defines predictive analytics as a statistical and facts mining answer along with numerous algorithms and methodologies used for structured as well as unstructured data to extract enterprise insights. 

360Quadrants covers 50+ products within the predictive analytics space and areas the correct 31 of them in a quadrant reckoning on their great, reliability, and company outcomes. These 31 products are categorized into Visionary Leaders, Dynamic Differentiators, emerging agencies, and Innovators.

360Quadrants acknowledges IBM Corp, SAS Institute, Inc., SAP SE, reasonable Issac agency (FICO), Tableau software, Inc., RapidMiner, Inc., Oracle Corp, and Angoss utility Corp as Visionary Leaders; TIBCO software, Inc., Microstrategy, Inc., Alteryx, Inc., information Builder, Dataiku, KNIME.COM AG, and NTT information corporation, as Innovators; GoodData corporation, Microsoft corporation, Teradata business enterprise, Sisense, Inc., Predixion software, and Domino records Lab, Inc. as Dynamic Differentiators; and Exago, incorporated, AgilOne, QlikTech international, and Kognitio Ltd. as rising players.

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a look at the IBM SPSS Modeler and IBM SPSS statistics analytics equipment | killexams.com Real Questions and Pass4sure dumps

IBM's SPSS predictive analytics tools encompass IBM SPSS Modeler and IBM SPSS facts. SPSS Modeler offers records mining and textual content evaluation application, while SPSS data is an integrated family of products. both tools permit users to build predictive fashions and execute other analytics tasks.

The IBM SPSS Modeler goals clients who have little or no programming abilities. clients are supplied with a drag-and-drop person interface, enabling them to build predictive fashions and operate other data analytics. Modeler can apply distinct procedures and algorithms to support the consumer discover assistance hidden in the records. The device can also help in integrating and consolidating every kind of information sets from dispersed data sources throughout the organization.

The IBM SPSS statistics suite is an integrated set of products geared towards more skilled statistics analysts. SPSS records addresses the comprehensive analytical procedure, from planning to records collection, analysis, reporting and deployment.

IBM SPSS Modeler points

edition 18 gives here features:

  • greater than 30 base computer learning algorithms.
  • Extensions that give persevered advancements for use with open supply items, akin to R and Python.
  • greater help for a number of multithreaded analytical algorithms, together with Random timber, Tree-AS, Generalized Linear Engine, Linear-AS, Linear aid Vector desktop and Two-Step-AS clustering.
  • The capability to run quite a lot of Python and Spark desktop learning, as well as different Python analytics libraries natively in Modeler devoid of requiring using the Analytic Server, as was required in the outdated edition.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is attainable as a cloud offering. The client front conclusion of SPSS Modeler runs under home windows and macOS, while the server element runs on Unix, Linux and home windows.

    IBM SPSS Modeler provides the following editions:

  • SPSS Modeler personal: A single-consumer computer product.
  • SPSS Modeler knowledgeable: A laptop product that works with IBM SPSS Analytic Server, presenting improved scalability and efficiency and enabling purposes to be used throughout an organization.
  • SPSS Modeler top class: This version contains advanced algorithms and capabilities, corresponding to textual content analytics, entity analytics and social network analysis, that increase model accuracy with unstructured data.
  • SPSS Modeler Gold: This edition provides analytical resolution administration, collaboration and deployment capabilities. SPSS Modeler Gold is additionally accessible as a cloud offering.
  • IBM SPSS facts elements

    SPSS data edition 24 includes the following new points:

  • The capacity to entry more than one hundred extensions, enabling clients to take skills of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, download, update, remove and generally manage extensions.
  • an important improve to the customized Dialog Builder, enabling users to more without problems build and installation their personal extensions. Enhancements consist of new controls and new residences for existing controls and a few other improvements to the person interface.
  • advancements that permit users to greater effortlessly and without delay import and export statistics into SPPS statistics.
  • advancements to the customized Tables module, including new statistical performance and customer-requested elements.
  • IBM SPSS information presents here three variations (each and every with additional modules):

  • SPSS statistics regular equipment deliver superior statistical techniques that assist linear and nonlinear statistical fashions, as well as predictive simulation modeling, which debts for uncertain inputs, geospatial analytics and customised tables.
  • SPSS data knowledgeable equipment assist information practise, missing values and statistics validity, determination trees, and forecasting.
  • SPSS facts top rate provides advanced analytical ideas, including structural equation modeling, in-depth sampling evaluation and checking out. This bundle also comprises tactics that target direct advertising and high-end charts and graphs.
  • Pricing for the SPSS Modeler and SPSS data predictive analytics tools range counting on the bundle alternatives, the number of users and the license length. SPSS statistics is now available as a subscription choice or a perpetual license. IBM offers free trials of each IBM SPSS Modeler and IBM SPSS data.

    subsequent Steps

    Why the time period unstructured facts is a misnomer

    How huge information is altering information modeling ideas

    massive facts programs pose new challenges to records governance

    connected substances View more

    IBM Watson Studio is Coming to Your desktop | killexams.com Real Questions and Pass4sure dumps

    illustration of a Modeler circulation operating on Watson Studio computing device

    IBM Watson Studio is an incredibly powerful records science offering. in case you’re now not time-honored, Watson Studio is an built-in ambiance designed to make it convenient to advance, train, and manage fashions. It comprises a large choice of tools used for every thing from statistics prep and blend to image cognizance. And now Watson Studio is on its option to your windows or Mac desktop computing device.

    Overview of Watson Studio

    Watson Studio includes a lot of tools all within one built-in atmosphere. essentially the most frequent tools of Watson Studio are:

  • SPSS Modeler for information prep, mix, and modeling with out coding
  • records Refinery, a spreadsheet style tool, that enables speedy, self-carrier statistics training
  • Python, R, and Scala Jupyter Notebooks to create and share files that comprise live code, equations, visualizations, and explanatory text
  • Neural community Modeler for designing TensorFlow, Keras, PyTorch and Caffe structures with out coding
  • Interactive Dashboards to deliver sharable live stories so the conclusion clients can discover their own insights
  • available Deployment alternate options

    Watson Studio will soon be accessible as three deployment options:

  • Watson Studio on the IBM Cloud is the easiest method to get all started. It presents three tiers from a free starter tier with pay-as-you-go compute all of the strategy to an enterprise edition.
  • Watson Studio local is our behind-the-firewall answer offering a at ease approach so as to add Watson Studio capabilities to your enterprise. includes buy alternatives for a handful of users or the entire organization.
  • And coming soon: Watson Studio desktop
  • Introducing Watson Studio desktop

    Watson Studio computing device is our new 3rd deployment choice within the Watson Studio family. It takes essentially the most widespread parts of what is purchasable inside Watson Studio on the cloud and ports it to your windows or Mac computing device for offline use, for evaluation of records files you don’t need to add, and for snappy performance. All with a fast and simple laptop installation.

    Watson Studio on the desktop will scale from an individual consumer all the manner up to a large team, and should be an outstanding addition to the Watson Studio household along with our cloud and local flavors.

    The initial main aspects of Watson Studio computer might be a SPSS Modeler canvas at the side of the statistics refinery spreadsheet editor. this could consist of backwards compatibility for SPSS Modeler streams.

    benefits of Watson Studio laptop
  • It’s quick, in particular for local information. boost particular person productivity the usage of a locally put in customer.
  • It gives offline use. want to build a mannequin on a plane with out WiFi? Watson Studio computer will work with out an online connection for weeks at a time.
  • Adhere to security and governance mandates with your information. Watson Studio computing device permits your entire records to continue to be to your desktop.
  • unlimited modeling with out overages. the usage of Watson Studio desktop, which you can develop models without any incremental cost. This permits you to build models iteratively in your desktop, then stream it to Watson Studio on the Cloud to set up.
  • It’s one Watson Studio, so no re-discovering required. With the same designs as the cloud and native types, switching between deployment alternate options is seamless without a enjoyable practicing.
  • And just like the rest of Watson Studio, any individual — coders or non-coders — should be capable of prepare, blend, explore, and mannequin their information in only minutes.
  • Watson Studio laptop’s potent graphing knowledgeJoin the Beta

    The Beta for Watson Studio is beginning now with two tools already ported to the computing device: a refreshed version of SPSS Modeler & data Refinery. it's going to additionally encompass tasks to prepare your work, statistics property firm, and a easy examine for updates characteristic.

    be part of the beta to deliver remarks on how you like these equipment, and suggest which different equipment we carry to the desktop. The Beta is a part of the IBM SPSS Modeler Subscription Trial, so when you register for that you just’ll have entry to both downloads.

    After you register, look for the “IBM SPSS Modeler Subscription Trial” card, click on down load, then you’ll see the Watson Studio computing device Beta downloads on the correct hand facet of the page.

    join the discussion on the beta neighborhood

    After registering for the beta, join within the discussion on the Watson Studio desktop beta group. right here that you would be able to ask questions about the beta, supply ideas for future features, get forum assist, and take part in valuable surveys to influence product path. be part of the forum right here with the aid of logging in along with your IBMid.

    stay up for future announcements right here about this entertaining addition for the Watson Studio household.

    Watson Studio computer undertaking organizer

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    IBM SPSS Modeler Professional v2

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    A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools | killexams.com real questions and Pass4sure dumps

    IBM's SPSS predictive analytics tools consist of IBM SPSS Modeler and IBM SPSS Statistics. SPSS Modeler provides data mining and text analysis software, while SPSS Statistics is an integrated family of products. Both tools enable users to build predictive models and execute other analytics tasks.

    The IBM SPSS Modeler targets users who have little or no programming skills. Users are provided with a drag-and-drop user interface, enabling them to build predictive models and perform other data analytics. Modeler can apply different processes and algorithms to help the user discover information hidden in the data. The tool can also assist in integrating and consolidating all types of data sets from dispersed data sources across the organization.

    The IBM SPSS Statistics suite is an integrated set of products geared toward more professional data analysts. SPSS Statistics addresses the complete analytical process, from planning to data collection, analysis, reporting and deployment.

    IBM SPSS Modeler features

    Version 18 provides the following features:

  • More than 30 base machine learning algorithms.
  • Extensions that provide continued improvements for use with open source products, such as R and Python.
  • Enhanced support for several multithreaded analytical algorithms, including Random Trees, Tree-AS, Generalized Linear Engine, Linear-AS, Linear Support Vector Machine and Two-Step-AS clustering.
  • The ability to run a variety of Python and Spark machine learning, as well as other Python analytics libraries natively in Modeler without requiring the use of the Analytic Server, as was required in the previous version.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is available as a cloud offering. The client front end of SPSS Modeler runs under Windows and macOS, while the server component runs on Unix, Linux and Windows.

    IBM SPSS Modeler provides the following editions:

  • SPSS Modeler Personal: A single-user desktop product.
  • SPSS Modeler Professional: A desktop product that works with IBM SPSS Analytic Server, providing improved scalability and performance and enabling applications to be used across an organization.
  • SPSS Modeler Premium: This edition includes advanced algorithms and capabilities, such as text analytics, entity analytics and social network analysis, that increase model accuracy with unstructured data.
  • SPSS Modeler Gold: This edition provides analytical decision management, collaboration and deployment capabilities. SPSS Modeler Gold is also available as a cloud offering.
  • IBM SPSS Statistics features

    SPSS Statistics version 24 includes the following new features:

  • The ability to access more than 100 extensions, enabling users to take advantage of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, download, update, remove and generally manage extensions.
  • A major upgrade to the Custom Dialog Builder, enabling users to more easily build and install their own extensions. Enhancements include new controls and new properties for existing controls and several other improvements to the user interface.
  • Improvements that enable users to more easily and quickly import and export data into SPPS Statistics.
  • Improvements to the Custom Tables module, including new statistical functionality and customer-requested features.
  • IBM SPSS Statistics offers the following three editions (each with additional modules):

  • SPSS Statistics Standard tools provide advanced statistical procedures that support linear and nonlinear statistical models, as well as predictive simulation modeling, which accounts for uncertain inputs, geospatial analytics and customized tables.
  • SPSS Statistics Professional tools support data preparation, missing values and data validity, decision trees, and forecasting.
  • SPSS Statistics Premium adds advanced analytical techniques, including structural equation modeling, in-depth sampling assessment and testing. This bundle also includes procedures that target direct marketing and high-end charts and graphs.
  • Pricing for the SPSS Modeler and SPSS Statistics predictive analytics tools vary depending on the bundle options, the number of users and the license period. SPSS Statistics is now available as a subscription option or a perpetual license. IBM offers free trials of both IBM SPSS Modeler and IBM SPSS Statistics.

    Next Steps

    Why the term unstructured data is a misnomer

    How big data is changing data modeling techniques

    Big data systems pose new challenges to data governance

    Related Resources View More

    A Pure Play On Self-Service Big Data Prep And Analytics: Wait For Smarter Valuation Entry Point | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!According to Rexer Analytics, 2016 Data Science Survey of 1220 analytics professionals from 72 countries, the average analytics professional reports ... s end-to-end data science platform; IBM’s (NYSE ...

    Chronic olanzapine administration causes metabolic syndrome through inflammatory cytokines in rodent models of insulin resistance | killexams.com real questions and Pass4sure dumps

    Patient Recruitment Process and Sample Collection

    This study recruited schizophrenia patients with long-term administration of olanzapine, whom were diagnosed positive, negative and cognitive impairment or emotional syndrome, according to the PNASS factor scores. Inclusion criteria: (1) age 18–60 years old;(2) no infectious disease, no chronic cardiovascular, digestive tract, endocrine, immune system and respiratory diseases within two weeks before blood sampling; (3) no family history of diabetes and no major liver or kidney disease; no bad habits, such as addiction and alcohol abuse; (4) nonpregnancy or lactation; (5) treatment with other mood stabilizers or other atypical antipsychotics (with olanzapine as the primary drug), but no antihypertensive drugs or typical antipsychotics; (6) informed consent; (7) patients treated mainly with olanzapine over 2 months and without hypoglycemic drugs. This clinical study was approved by the Tongji Medical College Ethics Committee of Huazhong University of Science and Technology (HUST).

    We called clinical patients with long-term administration of olanzapine from different hospitals to conduct this study, which included measuring the body weight, fasting blood glucose, and insulin levels and calculating the insulin resistance index (HOMA-IR index). In this study, we mainly relied on experienced clinicians to determine the grouping of patients. In clinical practice, they assessed the patient’s metabolic status and insulin sensitivity based on changes in body weight and fasting blood glucose after long-term olanzapine treatment. Based on the HOMA-IR index values, the patients were divided into the OS group (the insulin resistance index has similar variations as the average levels in normal subjects, data not shown) and the OR group (the insulin resistance index is significantly higher than that of the average levels in normal subjects).

    All experiments were performed according to the guidelines and regulations under HUST. The demographic and clinical details of the samples are provided in Table 1.

    After overnight fasting, 10-ml blood samples were obtained from the patients and placed in a test tube that contained EDTAK2 anticoagulant. Following centrifugation at 3000 rpm for 10 min, the plasma was stored at −80 °C for later use.

    Animals, Drug Treatment and Examination of Inflammatory Factors

    Adult female Balb/c mice and Sprague Dawley rats (purchased from Beijing Huafu Kang Biotechnology Co., Ltd., animal license number: SCXK (Beijing) 2014–0004) were group-housed and maintained in the SPF animal room of the Animal Experiment Center of HUST with a 12-hour light/dark cycle. The animal use and procedures were in accordance with the HUST Animal Ethics Committee regulations and requirements. All experiments were performed under HUST animal guidelines and regulations.

    The appropriate amount of olanzapine (TCI, Japan) was dissolved with 0.1 M hydrochloric acid solution, with 1 M sodium hydroxide solution to adjust the pH to 6.0. Olanzapine was intraperitoneally injected with dose justification as described and discussed in Wu, et al.50. Briefly, the injection doses were 10 mg/kg, injection volume of 10 ml/kg, with 0.1 M hydrochloric acid as the control. One week after the rodent animals were adaptively fed, they were randomly divided into two groups: the olanzapine treatment group and the control group. The olanzapine and control solvent were orally administered at 8:30 a.m. to 9 a.m. daily for 8 weeks.

    After 8 weeks of administration, the body weight, fasting blood glucose and insulin levels were measured, and the Homeostasis model assessment insulin resistance (HOMA-IR) was calculated as shown in Supplemental Table S2. HOMA-IR = fasting blood glucose (mmol/L) * fasting insulin (mU/L) /22.5. The oral glucose tolerance test (OGTT) was performed after the end of the administration, and the area under the blood glucose curve was calculated. Orbital blood samples were obtained in heparin-added EP tubes, plasma was collected, and white adipose tissue was carefully separated. The prefrontal cortex of the rat brains from the OS and OR groups were dissected and immediately stored at −80 °C for later use.

    Blood glucose was measured by a blood glucose detector. Insulin and inflammatory cytokines (TNF-α, IL-6, IL-8 and IL-1β) were measured using ELISA Kits (Neobioscience, China).

    Adipocyte Cell Line and Differentiation Process

    3T3-L1 fibroblasts (Shanghai Meixuan Biotechnology Co., Ltd.) were cultured in DMEM medium (which contained 4 mM L-glutamine, 4.5 g/L glucose and 10% fetal bovine serum) in a 5% CO2 incubator. After 2 days of fusion, the cells were stimulated for fat synthesis in DMEM medium that contained 25 mmol/L glucose, 0.5 mmol/L isobutylmethylxanthine, 1 mmol/L dexamethasone, 10 mg/ml insulin and 10% fetal bovine serum. After 3 days, the cells were changed using DMEM medium with 10 mg/ml insulin and 10% FBS. The medium was changed every 2 days during 10–14 day experiment, when 90–95% cells showed adipocyte phenotype.

    Olanzapine Treatment of Adipocytes

    After 3T3-L1 adipocytes (or transfected cells) were incubated with serum-free, high glucose, DMEM medium and olanzapine at the indicated concentrations were applied for the indicated time, the samples were incubated with 100 nM insulin or blank control solution without insulin for 30 min, and the supernatants were collected. The GOD-POD kit (Nanjing Jiancheng Bioengineering Institute, China) was used to determine the glucose content in the supernatants. The initial glucose content in the medium was subtracted from the glucose content in the supernatant to obtain the glucose content absorbed by the cells. The control cells were incubated with solvent only.

    Examination of Influence on Adipocyte Growth

    After the 3T3-L1 adipocytes were treated with olanzapine under the specified conditions, 10 µL CCK-8 solution was added, and the cells were incubated in an incubator at 37 °C for 2 h. The absorbance at 450 nm was measured using a microplate reader to calculate the effect of olanzapine on cell growth.

    Gene Expression and Knock-down

    IκBα siRNA and P50/p65 siRNA were synthesized by Shanghai Gemma (Ribobio, China). Briefly, prior to transfection, cells were harvested by trypsinization and collected, and the cell density was adjusted to 2 × 105/ml. Corresponding siRNAs were transfected into 3T3-L1 adipocytes using Lipofectamine rTM2000. The positive and vector siRNA were used to assess the transfection and knock-down efficiency. The levels of mRNA and protein expression of the target genes were detected after 48 hours.

    Western Blotting Analyses

    All cell lysates were collected via low-speed centrifugation. Briefly, cells were incubated ice-cooled lysis buffer for 30 minutes, vortexed and extracted the protein via centrifugation; the protein concentration was determined using the BCA method. SDS-PAGE electrophoresis and western blotting procedures were performed. Inflammation activates serine but not threonine phosphorylation of the insulin receptor substrate (IRS-1). Thus, the specific rabbit anti serine p-IRS1 antibody was purchased and applied in the present study, Cat:#2385, CST, USA, 1:500; the other corresponding protein primary antibodies used in this study were as follows: p65, (Cat:#8242, CST, USA, 1:2000); IκBα, (Cat:ab32518, Abcam, England, 1:2000); GLUT4, (Cat:ab33780, Abcam, England, 1:1000); p-AKT, (Cat:#4060, CST, USA, 1:2000); and GAPDH, (Cat:ab37168, Abcam, England, 1:10000). All primary antibodies were raised from rabbits; thus, a secondary antibody (HRP-Goat anti Rabbit, Cat:AS1107, ASPEN, USA, 1:10000) was used for each western blot analysis. Gel imager detection was performed with an X-ray film reader (Kodak, Japan). A cell membrane GLUT4 assay using a membrane protein extraction kit was used to determine the GLUT4 protein expression.

    Quantitative Real-Time PCR

    Approximately 100 mg of mouse adipose tissue was obtained and extracted by Trizol extraction (15596–026, Invitrogen™). The extracted RNA was added to the reverse transcription reaction system for reverse transcription. The primers for TNF-α were 5′-TCCCCAAAGGGATGAGAAGTT-3′ and 5′-GAGGAGGTTGACTTTCTCCTGG-3′. The primers for IL-6 were 5′-CTGGGAAATCGTGGAAATGAG-3′ and 5′-AAGGACTCTGGCTTTGTCTTTCT-3′. The primers for IL-1β were 5′-GGGCCTCAAAGGAAAGAATCT-3′ and 5′-GAGGTGCTGATGTACCAGTTGG-3′. The primers for IL-8 were 5′-GGCCCAATTACTAACAGGTTCC-3′ and 5′-TGACTTCACTGGAGTCCCGTAG-3′. The primers for GAPDH were 5′-TGAAGGGTGGAGCCAAAAG-3′ and 5′-AGTCTTCTGGGTGGCAGTGAT-3′. Real-time PCR was performed on a StepOne™ Real-Time PCR instrument using the SYBR® Premix Ex Taq™ kit (RR047A, TaKaRa, Japan). The calculation formula was as follows: ΔCt = Ct value of the target gene - Ct value of the reference gene; ΔΔCt = ΔCt of control group - ΔCt of the experimental group; the relative expression value of the target gene in the sample of the experimental group is 2ΔΔCt.

    Electrophoretic Mobility Shift Assay

    Following the cell intervention experiment, the nucleoprotein was extracted, and the protein concentration was determined with the purchased kit. Gel was prepared. After the gel was completely solidified, it was electrophoresed for 1 h at 100 v. After the pre-electrophoresis was completed, the precooled electrophoresis buffer was replaced, and 5 µl of 5x sample buffer was added to the sample mixture. Electrophoresis was then immediately performed at 150 v for 30–45 minutes. The positively charged nylon membrane was placed in a 0.5 x TBE for 10 minutes. After the electrophoresis was completed, the entire block of the sample was removed and transferred. After the membrane was completed, the membrane was marked and cross-linked under UV for 10 min. The membrane was blocked with blocking solution for 15 minutes. After being diluted 300-fold with blocking solution, the antibody was fully reacted with the membrane for 15 minutes. The membrane was subsequently washed and balanced. The image to the protein side of the membrane was taken. The film was scanned and analyzed with the AlphaEaseFC system. The oligos were AGTTGAGGGGACTTTCCCAGGC(5′−3′) and TCAACTCCCCTGAAAGGGTCCG(5′−3′).

    Statistical Analyses

    The PANSS scaling was used to measure the symptom severity of the patients with schizophrenia. The minimum scores for the positive, negative and general scales are 7, 7, and 16 and are used for the matched controls. Student’s t test was used to compare two groups for continuous variables. A Chi-square test was used to compare two groups for binary variables.

    SPSS19.0 (SPSS Inc., IBM, USA) was used to process all animal and cell experimental data as mean ± SD. Analysis of variance (ANOVA) was used to compare multiple groups, and the least significant difference (LSD) was used for comparisons among groups. A logistic regression model was used for variables of each inflammatory factor with covariates of the HOMA-IR index. Pearson correlation scores were calculated for every inflammatory factor and the normalized HOMA-IR index values.

    Statistical significance was set at p < 0.05. All experiments were repeated at least 3 times.

    Ethical approval and informed consent

    The use of all human samples and blood tissues in this study complied with the guidelines and regulations of the Tongji Medical College Ethics Committee of Huazhong University of Science and Technology (HUST). All experiments on human samples were approved by the Tongji Medical College Ethics Committee of HUST.

    All experiments on rodents were approved by the HUST Animal Ethics Committee and were performed under the HUST animal guidelines and regulations.



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