The Home Design and Remodeling Show: South Florida's Premier Event for Home Improvement and Design Returns to Fort Lauderdale with NEW Features & Special Guests.

The Home Design and Remodeling Show, South Florida's premier home improvement and design event, arrives in Palm Beach, bringing new features and special guests.

South Florida's most popular home expo returns to Fort Lauderdale February 3-5 at the Broward County Convention Center.

Get ready to elevate your home like never before! The Home Design and Remodeling Show Returns to Miami.

Richard T. Terry is a distinguished expert in kitchen and bath remodeling as the owner of Accolade Kitchen & Bath

Dr. Anand S. Nagoo is an internationally acclaimed multiphase flow digital twin expert and inventor of the world's first unified analytical multiphase flow model for closed conduits

- Solve the technical problem of unstable expression of 3D modeling with machine learning - Developed own solutions and started supplying them to national institutions and private energy companies

Garzone Construction: Transforming Pompano Beach Kitchens into Culinary Havens with 5-Star Expertise

TEW Design Studio recognized for innovative residential design solutions

Aldridge Construction delivers expert home renovations, ADU construction, and property management remodeling services for Salinas and surrounding areas, with a focus on quality and customer satisfaction.

Is Your Commercial Roof Ready To Be Replaced?

Just when former runway model Krystle Kelley thought her modeling career was behind her, life had other plans. At 38, Krystle is stepping back into the spotlight.

Anna Riha, Nikolas Siccha, Antti Oulasvirta, and Aki Vehtari write: When building statistical models for Bayesian data analysis tasks, required and optional iterative adjustments and different modelling choices can give rise to numerous candidate models. In particular, checks and evaluations … Continue reading →

A colleague pointed to this news article, “Do People in ‘Blue Zones’ Actually Live Longer?”, and wrote that I might find it blog-worthy. I replied that, yeah, the topic is blog-worthy enough that it’s already appeared on the blog, with … Continue reading →

Ethiopia possesses abundant water resources and hydropower potential, yet less than 5 percent of irrigable land in the Blue Nile basin has been developed for food production, and more than 80 percent of Ethiopians lack access to electricity. Consequently, the Ethiopian government is pursuing plans to develop hydropower and irrigation along the Blue Nile River in an effort to tap into this underused potential.

Virtual Event: June 12, 2024 at 10:00am-11:00am EDT. In this webinar, we will demonstrate how RIAPA has been used to identify priority agricultural value chains that most effectively contribute to development outcomes.

Empowering Researchers in South Asia to Unlock Economic Insights: International CGE Modeling Training Program in New Delhi

New Delhi, May 3, 2024: The International Food Policy Research Institute (IFPRI) and the CGIAR Initiative on Foresight, in partnership with the South Asian Network on Economic Modeling (SANEM), the Indian Council of Agricultural Research-Indian Agricultural Research Institute (ICAR-IARI), and ICAR-National Institute of Agricultural Economics and Policy Research (ICAR-NIAP), successfully concluded today the weeklong ‘International […]

The post Empowering Researchers in South Asia to Unlock Economic Insights: International CGE Modeling Training Program in New Delhi appeared first on IFPRI.

Novel FFPE proteomics method suggests prolactin induced protein as hormone induced cytoskeleton remodeling spatial biomarker | Communications Biology  Nature.com

The latest release of MapleSim has arrived, carrying with it some major updates to the software such as visualization improvements, revision control and new options for toolchain connectivity.

Adam Shostack of Shostack & Associates and author of Threat Modeling: Designing for Security discussed different approaches to threat modeling, the multiple benefits it can provide, and how it can be added to an organization’s existing software proc

Adam Dymitruk, CEO and founder of Adaptech Group, joins host Jeff Doolittle for an exploration of the event modeling approach to discovering requirements and designing software systems. Adam explains how the structured approach eliminates the specifics of implementation details and technology decisions, enabling clearer communication for all stakeholders while keeping conversations focused on the business opportunity. Using concrete examples of event modeling in practice, they examine event modeling in the context of other related approaches and methodologies, including event sourcing, event storming, CQRS, and domain-driven design.

Power Home Remodeling, a national full-service exterior home remodeler, is expanding its benefits offerings to subsidize childcare for employees and their families; the benefit will offset the cost of child care by 40%, providing employees up to $5,000 annually for child care costs.

See why the owner of Exterior Point Home Remodeling in New Jersey got the entire company involved in National Breast Cancer Awareness Month. 

Location: Electronic Resource- 

Location: Electronic Resource- 

Location: Electronic Resource- 

Location: Engineering Library- TK7874.78.C38 2016

Location: Engineering Library- TA656.N53 2016

Location: Engineering Library- TC209.D95 2015

Microfluidic chips that mimic the complex human cervical environment provide a platform to study the reproductive tract and associated infections like bacterial vaginosis.

[Written by Stephen Wright] Aspiring model Nalia Mitchell had the experience of a lifetime strutting down the catwalk at the recent New York Fashion Week Festival. Mitchell was among a handful of Bermudians who successfully applied for the Model Experience, which allowed participants to walk the runway, connect with brands and designers, share the stage […]

Hdac3 is a lysine deacetylase that removes acetyl groups from histones and additional proteins. Although Hdac3 functions within mesenchymal lineage skeletal cells are defined, little is known about Hdac3 activities in bone-resorbing osteoclasts. In this study we conditionally deleted Hdac3 within Ctsk-expressing cells and examined the effects on bone modeling and osteoclast differentiation in mice. Hdac3 deficiency reduced femur and tibia periosteal circumference and increased cortical periosteal osteoclast number. Trabecular bone was likewise reduced and was accompanied by increased osteoclast number per trabecular bone surface. We previously showed that Hdac3 deacetylates the p65 subunit of the NF-κB transcriptional complex to decrease DNA-binding and transcriptional activity. Hdac3-deficient osteoclasts demonstrate increased K310 NF-κB acetylation and NF-κB transcriptional activity. Hdac3-deficient osteoclast lineage cells were hyper-responsive to RANKL and showed elevated ex vivo osteoclast number and size and enhanced bone resorption in pit formation assays. Osteoclast-directed Hdac3 deficiency decreased cortical and trabecular bone mass parameters, suggesting that Hdac3 regulates coupling of bone resorption and bone formation. We surveyed a panel of osteoclast-derived coupling factors and found that Hdac3 suppression diminished sphingosine-1-phosphate production. Osteoclast-derived sphingosine-1-phosphate acts in paracrine to promote bone mineralization. Mineralization of WT bone marrow stromal cells cultured with conditioned medium from Hdac3-deficient osteoclasts was markedly reduced. Expression of alkaline phosphatase, type 1a1 collagen, and osteocalcin was also suppressed, but no change in Runx2 expression was observed. Our results demonstrate that Hdac3 controls bone modeling by suppressing osteoclast lineage cell responsiveness to RANKL and coupling to bone formation.

Evolving evidence suggests that nicotine may contribute to impaired asthma control by stimulating expression of nerve growth factor (NGF), a neurotrophin associated with airway remodeling and airway hyperresponsiveness. We explored the hypothesis that nicotine increases NGF by reducing lung fibroblast (LF) microRNA-98 (miR-98) and PPARγ levels, thus promoting airway remodeling. Levels of NGF, miR-98, PPARγ, fibronectin 1 (FN1), endothelin-1 (EDN1, herein referred to as ET-1), and collagen (COL1A1 and COL3A1) were measured in human LFs isolated from smoking donors, in mouse primary LFs exposed to nicotine (50 μg/ml), and in whole lung homogenates from mice chronically exposed to nicotine (100 μg/ml) in the drinking water. In selected studies, these pathways were manipulated in LFs with miR-98 inhibitor (anti-miR-98), miR-98 overexpression (miR-98 mimic), or the PPARγ agonist rosiglitazone. Compared with unexposed controls, nicotine increased NGF, FN1, ET-1, COL1A1, and COL3A1 expression in human and mouse LFs and mouse lung homogenates. In contrast, nicotine reduced miR-98 levels in LFs in vitro and in lung homogenates in vivo. Treatment with anti-miR-98 alone was sufficient to recapitulate increases in NGF, FN1, and ET-1, whereas treatment with a miR-98 mimic significantly suppressed luciferase expression in cells transfected with a luciferase reporter linked to the putative seed sequence in the NGF 3'UTR and also abrogated nicotine-induced increases in NGF, FN1, and ET-1 in LFs. Similarly, rosiglitazone increased miR-98 and reversed nicotine-induced increases in NGF, FN1, and ET-1. Taken together, these findings demonstrate that nicotine-induced increases in NGF and other markers of airway remodeling are negatively regulated by miR-98.

Researchers use dynamic PET imaging with target-selective tracer molecules to probe molecular processes. Kinetic models have been developed to describe these processes. The models are typically fitted to the measured PET data with the assumption that the brain is in a steady-state condition for the duration of the scan. The end results are quantitative parameters that characterize the molecular processes. The most common kinetic modeling endpoints are estimates of volume of distribution or the binding potential of a tracer. If the steady state is violated during the scanning period, the standard kinetic models may not apply. To address this issue, time-variant kinetic models have been developed for the characterization of dynamic PET data acquired while significant changes (e.g., short-lived neurotransmitter changes) are occurring in brain processes. These models are intended to extract a transient signal from data. This work in the PET field dates back at least to the 1990s. As interest has grown in imaging nonsteady events, development and refinement of time-variant models has accelerated. These new models, which we classify as belonging to the first, second, or third generation according to their innovation, have used the latest progress in mathematics, image processing, artificial intelligence, and statistics to improve the sensitivity and performance of the earliest practical time-variant models to detect and describe nonsteady phenomena. This review provides a detailed overview of the history of time-variant models in PET. It puts key advancements in the field into historical and scientific context. The sum total of the methods is an ongoing attempt to better understand the nature and implications of neurotransmitter fluctuations and other brief neurochemical phenomena.

Hideaki Kuge
Dec 1, 2020; 61:1747-1763
Research Articles

The plasma membrane of neurons consists of distinct domains, each of which carries specialized functions and a characteristic set of membrane proteins. While this compartmentalized membrane organization is essential for neuronal functions, it remains controversial how neurons establish these domains on the laterally fluid membrane. Here, using immunostaining, lipid-MS analysis and gene ablation with the CRISPR/Cas9 system, we report that the pancreatic lipase-related protein 2 (PLRP2), a phospholipase A1 (PLA1), is a key organizer of membrane protein localization at the neurite tips of PC12 cells. PLRP2 produced local distribution of 1-oleoyl-2-palmitoyl-PC at these sites through acyl-chain remodeling of membrane phospholipids. The resulting lipid domain assembled the syntaxin 4 (Stx4) protein within itself by selectively interacting with the transmembrane domain of Stx4. The localized Stx4, in turn, facilitated the fusion of transport vesicles that contained the dopamine transporter with the domain of the plasma membrane, which led to the localized distribution of the transporter to that domain. These results revealed the pivotal roles of PLA1, specifically PLRP2, in the formation of functional domains in the plasma membrane of neurons. In addition, our results suggest a mode of membrane organization in which the local acyl-chain remodeling of membrane phospholipids controls the selective localization of membrane proteins by regulating both lipid-protein interactions and the fusion of transport vesicles to the lipid domain.

Recent efforts in gut microbiome studies have highlighted the importance of explicitly describing the ecological processes beyond correlative analysis. However, we are still at the early stage of understanding the organizational principles of the gut ecosystem, partially because of the limited information provided by currently used analytical tools in ecological modeling practices. Proteomics and metaproteomics can provide a number of insights for ecological studies, including biomass, matter and energy flow, and functional diversity. In this Mini Review, we discuss proteomics and metaproteomics-based experimental strategies that can contribute to studying the ecology, in particular at the mucosal-luminal interface (MLI) where the direct host-microbiome interaction happens. These strategies include isolation protocols for different MLI components, enrichment methods to obtain designated array of proteins, probing for specific pathways, and isotopic labeling for tracking nutrient flow. Integration of these technologies can generate spatiotemporal and site-specific biological information that supports mathematical modeling of the ecosystem at the MLI.

As the capability of mass spectrometry-based proteomics has matured, tens of thousands of peptides can be measured simultaneously, which has the benefit of offering a systems view of protein expression. However, a major challenge is that with an increase in throughput, protein quantification estimation from the native measured peptides has become a computational task. A limitation to existing computationally-driven protein quantification methods is that most ignore protein variation, such as alternate splicing of the RNA transcript and post-translational modifications or other possible proteoforms, which will affect a significant fraction of the proteome. The consequence of this assumption is that statistical inference at the protein level, and consequently downstream analyses, such as network and pathway modeling, have only limited power for biomarker discovery. Here, we describe a Bayesian model (BP-Quant) that uses statistically derived peptides signatures to identify peptides that are outside the dominant pattern, or the existence of multiple over-expressed patterns to improve relative protein abundance estimates. It is a research-driven approach that utilizes the objectives of the experiment, defined in the context of a standard statistical hypothesis, to identify a set of peptides exhibiting similar statistical behavior relating to a protein. This approach infers that changes in relative protein abundance can be used as a surrogate for changes in function, without necessarily taking into account the effect of differential post-translational modifications, processing, or splicing in altering protein function. We verify the approach using a dilution study from mouse plasma samples and demonstrate that BP-Quant achieves similar accuracy as the current state-of-the-art methods at proteoform identification with significantly better specificity. BP-Quant is available as a MatLab ® and R packages at https://github.com/PNNL-Comp-Mass-Spec/BP-Quant.

CALGARY, Alberta, Nov. 5, 2024 — Computer Modelling Group Ltd. (CMG) has announced it is collaborating with NVIDIA to further develop and optimize CMG subsurface simulation solutions for increased speed, […]

The post CMG Targets Faster Simulation Solutions with NVIDIA for Enhanced Reservoir Modeling appeared first on HPCwire.

A recent collaboration among researchers from HUN-REN Wigner Research Centre for Physics in Hungary and the Department of Energy’s Pacific Northwest National Laboratory (PNNL), along with industry collaborators SandboxAQ and […]

The post Collaboration Speeds Complex Chemical Modeling appeared first on HPCwire.

Daniel Levenstein
Feb 15, 2023; 43:1074-1088
Viewpoints

The Berks LaunchBox in partnership with Penn State Berks will host its free 3D Modeling and Printing Workshop for Manufacturing Companies from 3 to 5 p.m. on Tuesday, Nov. 12, in Reading, Pennsylvania.

Kaia Tomokiyo, a kindergarten teacher from Southern Heights Elementary in Seattle and Fallon King, a 1st and 2nd grade teacher from Cedarhurst Elementary in Burien, Wash., share how they engage younger students in scientific modeling through observation and discussion.

Comparing Logistic Regression and Decision Tree - Which of our models is better at predicting our outcome? Learn how to compare models using misclassification, area under the curve (ROC) charts, and lift charts with validation data. In part 6 and part 7 of this series we fit a logistic regression [...]

Getting Started with Python Integration to SAS Viya for Predictive Modeling - Comparing Logistic Regression and Decision Tree was published on SAS Users.

Learn how to fit a random forest and use your model to score new data. In Part 6 and Part 7 of this series, we fit a logistic regression and decision tree to the Home Equity data we saved in Part 4. In this post we will fit a Random [...]

Getting Started with Python Integration to SAS Viya for Predictive Modeling - Fitting a Random Forest was published on SAS Users.

Fitting a Gradient Boosting Model - Learn how to fit a gradient boosting model and use your model to score new data In Part 6, Part 7, and Part 9 of this series, we fit a logistic regression, decision tree and random forest model to the Home Equity data we [...]

Getting Started with Python Integration to SAS Viya for Predictive Modeling - Fitting a Gradient Boosting Model was published on SAS Users.

Wild River Technology (WRT), the leading supplier of signal integrity measurement and optimization test fixtures for high-speed channels at data rates of up to 224G, has announced the availability of a new advanced channel modeling solution that helps achieve extreme signal integrity design to 70GHz. Read the press release. The CMP-70 program continues the industry-first simulation-to-measurement collaboration with Cadence that was initially established with the CMP-50. Significant resources were dedicated to the development of the CMP-70 by Cadence and WRT over almost three years. The CMP-70 will be on display at DesignCon 2025 , January 28-30, in Cadence booth 827 to benchmark the Cadence Clarity 3D Solver . “I am not a fan of hype-based programs that simply get attention,” remarked Alfred P. Neves, WRT’s co-founder and chief technical officer. “Both Cadence and Wild River brought substantial skills to the table in this project as we continued our industry-first simulation-to-measurement collaboration. The result is a proven, robust and accurate platform that brings extreme signal integrity to 70GHz designs. This application package has also been instrumental in demonstrating the robust 3D EM simulation capability of the Cadence Clarity solver.” “We’re delighted to continue the joint development and validation program with WRT that started with the CMP-50,” said Gary Lytle, product management director at Cadence. “The skilled and experienced signal integrity technologists that both companies bring to the program results in a superior signal integrity solution for our mutual customers.” CMP-70 Solution Features The solution is available both in a standard configuration and as a custom solution for customer-specific stackups and fabrication. The primary target application is to support a 3D EM solver analysis modeling versus the time- and frequency-domain measurement methodologies. The solution features include: The CMP-70 platform, assembled and 100% TDR NIST traceable tested, with custom stands Material Identification overview web-based meeting including anisotropic 3D material identification A cross-section PCB report and structures for using as-fabricated geometries Measured S-parameters, pre-tested for quality (passivity/causality and resampled for time domain simulations) A host of novel crosstalk structures suited for 112G HD level project analysis PCB layout design files (NDA required) An EDA starter library including loss models with industry-first accurate surface roughness models Comprehensive training available for 3D EM analysis – correspondence, material ID in X-Y and Z axis for a host of EDA tools Industry-First Hausdorff Technique The WRT application package also includes an industry-first modified Hausdorff (MHD) technique , included as MATLAB code. This algorithmic approach provides an accurate way to compare two sets of measurements in multi-dimensional space to determine how well they match. The technique is used to compare the results simulated by the Clarity solver with those measured on the CMP-70 platform. The methodology and initial results are shown in the figure below, where the figure of merit (FOM) is calculated from 10, 35, and finally to 50GHz. The MHD algorithm requires a MATLAB license, but WRT also accommodates customer data as another option, where WRT provides the comparison between measured and simulated data. Additional Resources If you are attending DesignCon 2025 , be sure to stop by Cadence booth 827 to see WRT’s CMP-70 advanced channel modeling solution in action with the Clarity 3D Solver. Check out our on-demand webinar, " Validating Clarity 3D Solver Accuracy Through Measurement Correlation ." Learn more about the CMP-70 solution and the Clarity 3D Solver . For more information about Cadence’s full suite of integrated multiphysics simulation solutions, download our Multiphysics System Analysis Solutions Portfolio .

Watch the video and learn basic principles of modeling panel data using SAS/ETS.

This paper provides recommendations for circumventing memory problems and reducing execution times for your mixed-modeling analyses, as well as showing the new HPMIXED procedure can be beneficial for certain situations, as with large sparse mixed models.