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The IBM Hybrid Cloud crew is lower back at it with yet a further win for design. I’m excited to announce that their design group has been awarded the 2018 crimson Dot: communique Design Award for IBM SPSS information in the Interface Design category. This award is a continuation of the design achievements we've viewed this previous 12 months, including the A’Design Awards, IF Design Awards, and others. i'm extremely joyful to look the hard work of their designers and IBM Design continue to shine and make a change in commercial enterprise application.
First developed in the 1990’s, the red Dot Award has been the revered international seal of striking design great. Designers, agencies, and companies from forty five different international locations took part during this year’s competitors, totaling over eight,600 entries that underwent a 24 member jury.
“All people who growth through the challenging adjudication method to garner a purple Dot have every reason to be proud of themselves, as the jury provides their award only to creations of high design exceptional. This makes me all of the extra delighted to congratulate the laureates truly on their well-merited success.” — Professor Dr. Peter Zec, founder and CEO of the crimson Dot Award
Receiving this award became highly wonderful for their crew and we're honored to be among the many winners. here's an immense success for their designers who worked on this product, and that they confronted a fascinating and challenging event in engaged on this product.what is IBM SPSS?
IBM SPSS records is a magnificent data analysis tool that is one of the most normal information applications. in view that its inception in 1968, SPSS information has been revamped and redeveloped distinct times. Now the design group at IBM has taken on the assignment of growing a very clean consumer experience.
in this newest redecorate of IBM SPSS data, they carried out design considering concepts by using working closely with their users and making sure this modernized edition of SPSS facts aligns with their needs. Their greatest aim became to create an impressive tool that isn't best handy and intuitive to make use of, however that their users can savor.Our group and Design approach
The IBM SPSS design team is part of the IBM Design Studios in Boeblingen, Germany. The team consists of a diverse group, with many contributors originating from distinct international locations and cultures. Some participants of the team had some background with records while others have been working in this box for the primary time.
Following the principles of IBM Design pondering (look at > reflect > Make), their team applied a redecorate that brings a stronger focal point on users for SPSS facts. The design crew performed intensive research on the user base of SPSS information with a view to see how the software can more desirable meet their wants. The latest user base stages from much less skilled clients reminiscent of students to more knowledgeable clients equivalent to facts scientists or company gurus. A key insight from the team’s research become that less experienced clients have been intimidated each by the mathematics work and the complexity of the utility.
the brand new designs focused on simplifying workflows, decreasing the ordinary complexity of the UI and interactions, and proposing newbies a simple on-boarding to records and to the product. an additional essential characteristic in the redecorate became a practicing e book led by way of a personality named Simon, who serves as an in-utility ebook, assisting beginner clients bear in mind diverse services and achieve their goals faster.
The crew confronted some interesting challenges in redesigning a made of such complexity, and one which has additionally been around for therefore decades. a big success of the designers changed into making the product obtainable and engaging to new clients without alienating decade-long, skilled clients.a look Into the Future
The preview version of their new IBM SPSS information journey became launched in March 2018, and made available to the public as a trial on the IBM suppose conference is Las Vegas, and due to the fact June 26 , the new UI is often obtainable to all SPSS records subscribers. This preview is just the preliminary step, providing the most used statistical analyses, and basic capabilities for statistics guidance, for presentation and for reporting consequences. Over here months the team should be working to add greater features and capabilities in an effort to meet journey wants of all of their consumer groups.no longer simply Updating — Redesigning
i'm so delighted to see another Hybrid Cloud design crew get hold of a world award for their work. IBM SPSS records is yet one more instance of how design is making a huge change in the success of their products. As they proceed to make use of design to create extra relatable and productive items, we're in a position to give their clients the experiences that they want and want. I’m delighted and proud to observe the difference that their design group is making on earth of business application, and that i can’t wait to look how they continue to influence the lives of their clients.Award Winners:
IBM ultimate week announced that the version 22 release of SPSS statistics might be the last free up of the product to have any part that runs on equipment i (IBM i). it is going to even be the remaining unencumber with the ability to drag SQL records out of the DB2 for i database, which is arguably greater damaging for any IBM consumers that might are looking to run some statistical evaluation on their DB2/400 information.
SPSS records is mature and multi-faceted application kit that gives users a variety of superior statistical analysis capabilities. Surrounding the core analysis component is a fleet of greater than 50 add-on products that, among other things, supply document distribution capabilities.
SPSS information has in no way run on IBM i itself, even when it become owned with the aid of SPSS. earlier than it become purchased by IBM, SPSS supported the IBM i platform with simply two leading product strains: the exhibit OLAP and Reporting equipment (some of which had been got by way of support/methods) and the Clementine information mining software. however the core SPSS information package became always supported on greater “mainstream” structures, like Unix, Linux, windows, and the S/390 mainframe, which is the place SPSS statistics bought its start so a long time in the past.
youngsters, IBM did, curiously, help the SPSS Collaboration and Deployment capabilities component on the IBM i platform, which is entertaining in its personal appropriate. IBM hardly (if ever) touted this potential, which isn't impressive given that it’s a narrowly concentrated area of interest product that performs a assist role to other products. In any event, IBM introduced that the Collaboration and Deployment features component in SPSS records version 22 will no longer guide the “equipment I” (a name that IBM stopped using in 2010).
perhaps more harmful is the proven fact that SPSS information version 22 marks the final version of the utility that can be able to use DB2 for i (DB2/four hundred) as a supply for SQL data, in spite of the fact that the core SPSS facts application is operating (as it need to) on another server platform.
IBM i experts are accustomed to relocating production records from DB2/four hundred onto other platforms the place it may also be analyzed. but, curiously so few SPSS statistics customers were using this capability that it now not made feel to keep it.
undoubtedly there are alternative routes to get information off the IBM i server and into SPSS records. in any case, the SQL facts ordinary is meant to bring enhanced statistics interoperability among platforms. however the undeniable fact that it’s now not worth IBM’s effort to maintain this SQL channel open to the IBM i server isn't a great sign.
For more guidance see utility Announcement 213-309.
There’s No “i” In French Open Tennis
support/techniques Buys show off BI products from IBM
IBM to buy SPSS for $1.2 Billion
SPSS changes data Miner’s identify, Drops device i aid
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Two of IBM’s most widespread analysis products, the Cognos business Intelligence and the SPSS predictive analytics kit, are headed for the cloud, the latest in an ongoing push with the aid of IBM to port its great utility portfolio to the cloud.
gaining access to the sort of application from a hosted atmosphere, as opposed to paying for the kit outright, gives a number of merits to purchasers.
“We control the infrastructure, and this means that you can scale greater easily and get started with less upfront funding,” pointed out Eric Sall, IBM vice president of worldwide analytics marketing.
IBM announced these additions to its cloud features, as well as a number of new choices, at its insight consumer conference for facts analytics, held this week in Las Vegas.
by using 2016, 25 percent of recent enterprise evaluation deployments could be executed within the cloud, in response to Gartner.
Analytics might aid organizations in lots of methods, in line with IBM. It might give extra insight within the purchasing habits of consumers, as well as perception into how neatly its own operations are performing. It may aid safeguard systems from attacks and makes an attempt at fraud, in addition to guarantee that business departments are meeting compliance requirements.
the brand new online version of Cognos, IBM Cognos business Intelligence on Cloud, can presently be proven in a preview mode. IBM plans to present Cognos as a full industrial service early subsequent 12 months. clients can run Cognos against statistics they retain in the IBM cloud, or against facts they keep on premises.
A full industrial version of the online IBM SPSS Modeler may be attainable inside 30 days. This package will include the entire SPSS add-ons for information based predictive modeling, equivalent to a modeler server, analytics choice administration application and a statistics server.
past this year, IBM pledged to offer a lot of its software portfolio as cloud services, many through its Bluemix set of platform services.
in addition to Cognos and SPSS, IBM additionally unveiled a couple of new and updated offerings at the convention.
One new carrier, DataWorks, provides a number of innovations for refining and cleansing facts so it is in a position for analysis. The business has launched a cloud-based records warehousing service, known as dashDB. a brand new Watson-primarily based service, referred to as Watson Explorer, gives a means for users to ask natural language questions about distinct units of inside data.To touch upon this text and different PCWorld content, visit their fb page or their Twitter feed.
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Key Stats for IBM Certified Specialist SPSS Statistics Level 1 v2
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From March to September 2014, 52 consecutive children (age range 1–26 months) visiting their tertiary pediatric allergy center for recent occurrence (last 2–4 weeks) of signs or symptoms of suspected non-IgE-mediated CMA, or for follow up visit after 6 months of exclusion diet upon a confirmed diagnosis of non-IgE-mediated CMA were evaluated and invited to participate in a cross sectional study. The exclusion criteria were: use of pre- or probiotic products and/or antibiotics in the previous 4 weeks; history of cow’s milk-induced anaphylaxis and/or other IgE-mediated signs of food allergy; concomitant presence of other food allergies or allergic diseases, eosinophilic disorders of the gastrointestinal tract, chronic systemic diseases, congenital cardiac defects, active tuberculosis, autoimmune diseases, immunodeficiency, chronic inflammatory bowel diseases, celiac disease, cystic fibrosis, metabolic diseases, lactose intolerance, malignancy, chronic pulmonary diseases or malformations of the gastrointestinal tract. Written informed consent was obtained from the parents/guardians of each subject. The diagnosis of non-IgE-mediated CMA was based on clinical history, negative result of skin prick test, and/or negative level of IgE serum-specific anti-cow’s milk proteins, and the results of a double blind placebo-controlled oral food challenge (DBPCFC)33,34. All DBPCFC were performed in a double-blind, placebo-controlled manner in the outpatient clinic on 2 separate days with a 1-week interval. Parents of patients taking antihistamines were advised to withhold these medications for 72 hours before and during the challenge. Randomization and preparation of the challenges were performed by experienced dietitians who were not directly involved in the procedures. In detail, every 20 minutes, increasing doses (0.1, 0.3, 1, 3, 10, 30, and 100 mL) of fresh pasteurized cow’s milk containing 3.5% of fat or an amino acid formula were administered. Full emergency equipment and medications (epinephrine, antihistamines, and steroids) were available. The results were assessed simultaneously by experienced pediatric allergists. Study subjects were scored for 9 items divided into 4 main categories on a 0 to 3-point scale (0, none; 1, light; 2, moderate; and 3, severe): (1) general (decreased blood pressure plus tachycardia); (2) skin (rash and urticaria/angioedema); (3) gastrointestinal (nausea or repeated vomiting, crampy-like abdominal pain, and diarrhea); and (4) respiratory (sneezing or itching, nasal congestion or rhinorrhea, and stridor deriving from upper airway obstruction or wheezing). If at least 2 of the 3 physicians independently scored one item at level 3 or 2 (or more) items at level 2, the test result was considered positive. Children were observed for up to 4 hours after the final dose and then discharged. In case of a positive DBPCFC result at any testing dose, the patient remained under observation until symptom resolution. If the patient did not show any symptoms within the first 24 hours, parents were advised to provide a single feed of 100 mL of the tested formula (verum or placebo) every day at home for 7 days. If any symptoms occurred during this period, the patients returned to the outpatient clinic on the same day. After 7 days of verum or placebo administration, the patients were examined, and the parents were interviewed at the center. Parents were asked to contact the center if any symptoms occurred in the 7 days after the DBPCFC procedures to rule out false-negative challenge results. The challenge result was considered negative if the patient tolerated the entire challenge, including the observation period. Fifty-two CMA patients were evaluated. Four patients were excluded because of the presence of exclusion criteria, and 2 were excluded for the lack of informed consent. Therefore, 46 CMA patients were included in this study. According to disease state and dietary treatment, CMA patients were divided in three groups: group 1 included patients with non-IgE-mediated CMA at diagnosis, before any therapeutic intervention and receiving standard formula (n = 23); group 2 (n = 9) included patients with diagnosis of non-IgE-mediated CMA after treatment for 6 months with an extensively hydrolyzed casein formula (EHCF; Nutramigen, Mead Johnson Nutrition, Evansville IN, US); group 3 (n = 14) included patients with diagnosis of non-IgE-mediated CMA after treatment for 6 months with EHCF added with the probiotic L. rhamnosus GG (EHCF + LGG; Nutramigen LGG, Mead Johnson Nutrition, Evansville IN, US). The specific formula use was prescribed and adherence was checked according to the standard procedure adopted at their Center. Briefly, the parents received written instructions regarding the commercial name of the product and the formula preparation procedure. Then, the adherence to the treatment was checked monthly during the first 3 months of treatment and then every 6 months. Formula use was evaluated at each time visit by dietitians, counseling parents about issues that could arise during the elimination diet and on how to reach the daily recommended intake for Italian children. This allowed the study staff to evaluate compliance with the formula and to ensure that the patients received an appropriate quantity of formula to meet their nutritional requirements. During the same study period, consecutive healthy children (group 4, n = 23), with negative clinical history for any allergic condition visiting their center because of minimal surgical procedures or vaccination program were also enrolled. Anamnestic, demographic, anthropometric and clinical data were obtained from the parents of each subject and recorded in a clinical database. The 3-day dietary diary was collected from all study subjects at enrolment. All diaries were assessed using a specific software (Winfood, Medimatica srl, Colonnella, Teramo, Italy). For all study subjects, a stool sample (3 g) was collected to evaluate gut microbiota composition and fecal butyrate concentration and stored at −80 °C until analyses.Ethics
The study was approved by the Ethics Committee of the University of Naples Federico II and was registered in the Clinical Trials Protocol Registration System on March 14, 2014 (https://clinicaltrials.gov - ID number: NCT02087930).
All methods were performed in accordance with the relevant guidelines and regulations.DNA extraction and 16S sequencing
Fecal samples (about 1 g) were fully homogenized in STE buffer (100 mMNaCl, 10 mMTris-Cl pH 8.0, 1 mM EDTA pH 8.0) and centrifuged (500 × g, 1 min) in order to pellet debris. The supernatant was centrifuged again (12,000 × g, 2 min) and the pellet was used for DNA extraction with the PowerFecal DNA Isolation kit (Mo Bio Laboratories, Inc., Carlsbad, CA). V3-V4 region of the 16S rRNA gene was amplified by using primer and PCR conditions recently described35. PCR products were purified with the Agencourt AMPure XP beads (Beckman Coulter) and quantified using a Plate Reader AF2200 (Eppendorf). Amplicon multiplexing, pooling and sequencing were carried out following the Illumina 16S Metagenomic Sequencing Library Preparation protocol, on a MiSeq platform and using the MiSeq Reagent kit v2, leading to 2 × 250 bp, paired-end reads.Fecal butyrate analysis
One gram of frozen feces was diluted with saline buffer, vortexed and centrifuged (12,000 × g) for 10 min in 2 ml tubes. The supernatant was filtered (0.45 μm) and stored at −20 °C until analysis. Frozen fecal extracts were acidified with 20 μl of 85% (w/v) phosphoric acid and 0.5 ml of ethyl acetate, mixed, centrifuged (12,000 × g) for 1 h, and extracted in duplicate. About 0.5 ml of the pooled extract containing the acidified butyrate was transferred into a 2 ml glass vial and loaded onto an Agilent Technologies (Santa Clara, CA, USA) 7890 gas chromatograph (GC) system with automatic loader/injector. The GC column was an Agilent J&W DB-FFAP (Agilent Technologies) of 30 m, internal diameter 0.25 mm and film thickness 0.25 μm. The GC was programmed to achieve the following run parameters: initial temperature 90 °C, hold 0.5 min, ramp of 20 °C min−1 up to a final temperature of 190 °C, total run time 8.0 min, gas flow 7.7 ml min−1 split less to maintain 3.26 p.s.i. column head pressure, septum purge 2.0 ml min−1. Detection was achieved using a flame ionization detector. Peaks were identified using a mixed external standard and quantified by peak height/internal standard ratio.Statistical and bioinformatics analysis
All data were collected in a dedicated database and analysed by a statisticianwith IBM SPSS Statistics version 19.0 for Windows (SPSS Inc, Chicago, IL). The χ2 test and Fisher’s exact test were used for categorical variables. The level of significance for all statistical tests was 2-sided, P < 0.05.
Raw sequence quality filtering and pre-processing was carried out as recently reported35. Briefly, demultiplexed, forward and reverse reads were joined by using FLASH36. Joined reads were quality trimmed (Phred score < 20) and short reads (<250 bp) were discarded by using Prinseq37. High quality reads were then imported in QIIME38. OTUs were picked through de novo approach and uclust method and taxonomic assignment was obtained by using the RDP classifier and the Greengenes database39, following a pipeline previously reported35. In order to avoid biases deriving from different sequencing depth, OTU tables were rarefied to the lowest number of sequences per sample. Statistical analyses and visualization were carried out in R environment (https://www.r-project.org).
To discriminate the microbial profiles as a function of disease, a model based on projection on latent structures (PLS) in its discriminant (DA) version was built, based on the normalized abundance (log10) of the microbial genera identified. The R package mixOmics was used. Permutational Multivariate Analysis of Variance (non-parametric (PER)MANOVA) based on Jaccard and Bray Curtis distance matrices was applied with 999 permutations to detect significant differences in the overall microbial community composition, by using the adonis function in vegan package. Non-parametric Kruskal-Wallis and pairwise Wilcoxon tests were carried out in order to find OTUs differentially abundant between the groups. A Generalized Linear Model (R function glm) was built in order to test the importance of continuous or discrete variables available for the subjects (mode of birth, age at weaning, age at sampling, sex, months of exclusive breastfeeding, average daily consumption of proteins and fat, health status – that is, healthy or CMA) on the relative abundance of bacterial genera significantly different between healthy and CMA subjects. Spearman’s pairwise correlations were computed between OTUs or oligotypes and short-chain fatty acid abundance (corr.test function in psych package). Correction of p-values for multiple testing was performed40. Differences in fecal butyrate levels between the groups were evaluated by non-parametric Kruskal-Wallis and pairwise Wilcoxon tests. In order to compare the gut microbiota composition in children with non-IgE (analyzed in the present study) and IgE-mediated CMA from their previous study15, quality filtered reads of the previous study were downloaded from MG-RAST. Since the reads from the previous study included only V4 region of the 16S rRNAgene, they were aligned to those produced in this study, that were trimmed in 5′direction to the same length. Reads from both the studies were re-analysed as described above.Sub-genus diversity of Bacteroides
Reads assigned to Bacteroides genus were extracted and entropy analysis and oligotyping41 were carried out as described previously42. After the initial round of oligotyping, high entropy positions were chosen (−C option): 2, 30, 94, 104, 106, 107, 109, 114, 302, 380. To minimize the impact of sequencing errors, they required an oligotype to be represented by at least 100 reads (−M option). Moreover, rare oligotypes present in less than 10 samples were discarded (−s option). These parameters led 70,142 sequences left in the dataset. BLASTn was used to query the representative sequences against the NCBI nr database, and the top hit was considered for taxonomic assignment. Statistical analyses and visualization were carried out in R environment as described above.Data availability
The 16S rRNA gene sequences produced in this study are available at the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI), under accession number SRP092171.
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