Digital Commons Network^™

Big Data Machine Learning Using Apache Spark Mllib, Ziaul Hasan, Hong Jie Xing Hong Jie Xing, M. Idrees Magray M. Idrees Magray

Mesopotamian Journal of Big Data

The examination local area has utilized man-made brainpower, and specifically machine learning, in various ways to change various unique and, surprisingly, heterogeneous data sources into excellent realities and information, offering driving capacities to exact example finding. In any case, utilizing machine learning strategies on enormous and convoluted datasets is computationally costly and utilizes a great deal of coherent and actual assets, including central processor, memory, and data record space.In the current study collected the review of different researchers from 2010 to 2022. As how much data produced consistently arrives at quintillions of bytes, it is turning out to be more …

Big Data Distributed Support Vector Machine, Baby Nirmala, Raed Abueid, Munef Abdullah Ahmed

Mesopotamian Journal of Big Data

Data mining and machine learning (ML) methods are being used more than ever before in cyber security. The use of machine learning (ML) is one of the potential solutions that may be successful against zero day attacks, starting with the categorization of IP traffic and filtering harmful traffic for intrusion detection. In this field, certain published systematic reviews were taken into consideration. Contemporary systematic reviews may incorporate both older and more recent works in the topic of investigation. All of the papers we looked at were thus recent. Data from 2016 to 2021 were utilized in the study. Both security …

Big Data Processing: A Review, Taufik Gusman, Mohammad Naeemullah, Adeeb Mansoor Qasim

Mesopotamian Journal of Big Data

The processing of "big data," which consists of very vast and complicated datasets, is a fast expanding area. It has been employed in a wide variety of industries and applications, from e-commerce to financial services to transportation, and it has the potential to revolutionise the way organisations functionand make decisions. In this work, we discuss the definitions, characteristics, and challenges of large data processing. We also talk about the ethics of using this technology and the prevalent tools and technologies used for processing large amounts of data. Finally, we consider how big data processing is expected to evolve in the …

A Survey On Distributed Reinforcement Learning, Maroning Useng, Suleiman Abdulrahman

Mesopotamian Journal of Big Data

In many settings, reinforcement learning (RL) has proven to be an effective tool for tackling difficult decision-making challenges. Traditional RL algorithms, on the other hand, frequently hit walls when confronted with issues of a sufficiently great scale or complexity. Distributed reinforcement learning (DRL) is a new area of study that hopes to circumvent these restrictions by dividing the learning workload among several computers. In this work, we offer a thorough overview of DRL, discussing its history, difficulties, applications, evaluation, scalability, and outstanding issues. We classify DRL approaches and frameworks and examine their similarities and differences. We also highlight the difficulties …

From Similarities To Probabilities: Feature Engineering For Predicting Drugs’ Adverse Reactions, Nahla Barakat, Ahmed Elsabagh

Artificial Intelligence

Social media recently became convenient platforms for different groups with common concerns to share their experiences, including Adverse Drug Reactions (ADRs). In this paper, we propose a two stage intelligent algorithm which we call “Simi_to_Prob”, that utilizes social media forums; for ranking ADRs, and evaluating the ADRs prevalence considering different age and gender groups as its first stage. In the second stage, ADRs are predicted utilizing a different data set from the Food and Drug Administration (FDA). In particular, Natural Language Processing (NLP) is used on social media to extract ranked lists of ADRs, which are then validated using novel …

Minimum Dataset And Metadata Guidelines For Soil-Test Correlation And Calibration Research, Nathan A. Slaton, Sarah E. Lyons, Deanna L. Osmond, Sylvie M. Brouder, Steve W. Culman, Gerson L. Drescher, Luciano C. Gatiboni, John Hoben, Peter J.A. Kleinman, Joshua M. Mcgrath, Robert O. Miller, Austin Pearce, Amy L. Shober, John T. Spargo, Jeff J. Volenec

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Soil-test correlation and calibration data are essential to modern agriculture, and their continued relevance is underscored by the expansion of precision farming and the persistence of sustainable soil management priorities. In support of transparent, science-based fertilizer recommendations, we seek to establish a core set of required and recommended information for soil-test P and K correlation and calibration studies, a minimum dataset, building on previous research. The Fertilizer Recommendation Support Tool (FRST) project team and collaborators are developing a national database that will support a soil-test-based nutrient management decision aid tool. The FRST team includes over 80 scientists from 37 land-grant …

Endogenous Opioid Systems Alterations In Pain And Opioid Use Disorder, Jessica A Higginbotham, Tamara Markovic, Nicolas Massaly, Jose A Morón

2020-Current year OA Pubs

Decades of research advances have established a central role for endogenous opioid systems in regulating reward processing, mood, motivation, learning and memory, gastrointestinal function, and pain relief. Endogenous opioid systems are present ubiquitously throughout the central and peripheral nervous system. They are composed of four families, namely the μ (MOPR), κ (KOPR), δ (DOPR), and nociceptin/orphanin FQ (NOPR) opioid receptors systems. These receptors signal through the action of their endogenous opioid peptides β-endorphins, dynorphins, enkephalins, and nociceptins, respectfully, to maintain homeostasis under normal physiological states. Due to their prominent role in pain regulation, exogenous opioids-primarily targeting the MOPR, have been …

Reconstructing Neural Circuits Using Multiresolution Correlated Light And Electron Microscopy, Karl Friedrichsen, Pratyush Ramakrishna, Jen-Chun Hsiang, Katia Valkova, Daniel Kerschensteiner, Josh L Morgan

2020-Current year OA Pubs

Correlated light and electron microscopy (CLEM) can be used to combine functional and molecular characterizations of neurons with detailed anatomical maps of their synaptic organization. Here we describe a multiresolution approach to CLEM (mrCLEM) that efficiently targets electron microscopy (EM) imaging to optically characterized cells while maintaining optimal tissue preparation for high-throughput EM reconstruction. This approach hinges on the ease with which arrays of sections collected on a solid substrate can be repeatedly imaged at different scales using scanning electron microscopy. We match this multiresolution EM imaging with multiresolution confocal mapping of the aldehyde-fixed tissue. Features visible in lower resolution …

Silver Jubilee: 25 Years Of The First Demonstration Of The Direct Effect Of Phosphate On The Parathyroid Cell, Jordi Bover, Adriana Dusso, Et Al.

2020-Current year OA Pubs

Although phosphorus is an essential element for life, it is not found in nature in its native state but rather combined in the form of inorganic phosphates (PO

Combination Tigit/Pd-1 Blockade Enhances The Efficacy Of Neoantigen Vaccines In A Model Of Pancreatic Cancer, Hui Peng, Lijin Li, Chong Zuo, Michael Y Chen, Xiuli Zhang, Nancy B Myers, Graham D Hogg, David G Denardo, S Peter Goedegebuure, William G Hawkins, William E Gillanders

2020-Current year OA Pubs

BACKGROUND: Cancer neoantigens are important targets of cancer immunotherapy and neoantigen vaccines are currently in development in pancreatic ductal adenocarcinoma (PDAC) and other cancer types. Immune regulatory mechanisms in pancreatic cancer may limit the efficacy of neoantigen vaccines. Targeting immune checkpoint signaling pathways in PDAC may improve the efficacy of neoantigen vaccines.

METHODS: We used KPC4580P, an established model of PDAC, to test whether neoantigen vaccines can generate therapeutic efficacy against PDAC. We focused on two immunogenic neoantigens associated with genetic alterations in the CAR12 and CDK12 genes. We tested a neoantigen vaccine comprised of two 20-mer synthetic long peptides …

Socioecological Model-Based Design And Implementation Principles Of Lower Limb Preservation Programs As Partners For Limb-Loss Rehabilitation Programs- A Mini-Review, Vipul Khetarpaul, John P Kirby, Patrick Geraghty, John Felder, Prateek Grover

2020-Current year OA Pubs

People with lower limb loss, especially of dysvascular etiology, are at substantial risk for both ipsilateral and contralateral reamputation. Additionally, while not as well documented for reamputation, there is recognition that amputation incidence is influenced by not only sociodemographic factors such as sex, race, socioeconomic status, but also by system factors such as service access. A systems strategy to address this disparity within the field of limb-loss rehabilitation is for Limb-loss Rehabilitation Programs (LRP) to partner with medical specialists, mental health professionals, and Limb Preservation Programs (LPP) to provide comprehensive limb care. While LPPs exist around the nation, design principles …

Case Report: Real-World Experience Using A Personalized Cancer-Specific Circulating Tumor Dna Assay In Different Metastatic Melanoma Scenarios, Karam Khaddour, Alice Zhou, Omar H Butt, Griffin Budde, Allyson Koyen Malashevich, George Ansstas

2020-Current year OA Pubs

Circulating-tumor DNA (ctDNA) has emerged as an important biomarker for monitoring disease status in cancer patients. Different ctDNA testing platforms have shown promising results in the early detection of disease, monitoring response to treatment, and prognostication in metastatic melanoma. However, several challenges exist, including the reduced shedding of ctDNA into the bloodstream in the metastatic setting, differences in sensitivity among various ctDNA assays, and the inherent inability to distinguish tumor-specific mutations from other mutations that are not related to the cancer of interest. Using a ctDNA assay that is designed to detect multiple single-nucleotide variants (SNVs) that are specific to …

Mechanisms Of Persistent Atrial Fibrillation And Recurrences Within 12 Months Post-Ablation: Non-Invasive Mapping With Electrocardiographic Imaging, Ramya Vijayakumar, Mitchell N Faddis, Phillip S Cuculich, Yoram Rudy

2020-Current year OA Pubs

INTRODUCTION: Catheter ablation of persistent AF has not been consistently successful in terminating AF or preventing arrhythmia recurrences. Non-invasive Electrocardiographic Imaging (ECGI) can help to understand recurrences by mapping the mechanisms of pre-ablation AF and comparing them with the patterns of recurrent arrhythmias in the same patient.

METHODS: Seventeen persistent AF patients underwent ECGI before their first catheter ablation. Time-domain activation maps and phase progression maps were obtained on the bi-atrial epicardium. Location of arrhythmogenic drivers were annotated on the bi-atrial anatomy. Activation and phase movies were examined to understand the wavefront dynamics during AF. Eight patients recurred within 12 …

Islet Cilia And Glucose Homeostasis, Isabella Melena, Jing W Hughes

2020-Current year OA Pubs

Diabetes is a growing pandemic affecting over ten percent of the U.S. population. Individuals with all types of diabetes exhibit glucose dysregulation due to altered function and coordination of pancreatic islets. Within the critical intercellular space in pancreatic islets, the primary cilium emerges as an important physical structure mediating cell-cell crosstalk and signal transduction. Many events leading to hormone secretion, including GPCR and second-messenger signaling, are spatiotemporally regulated at the level of the cilium. In this review, we summarize current knowledge of cilia action in islet hormone regulation and glucose homeostasis, focusing on newly implicated ciliary pathways that regulate insulin …

Implicating Genes, Pleiotropy, And Sexual Dimorphism At Blood Lipid Loci Through Multi-Ancestry Meta-Analysis, Stavroula Kanoni, Adam E. Locke, E Warwick Daw, Mary F. Feitosa, Mary K. Wojczynski, Bernhard Banas, Carsten A. Boger, Bettina Jung, D C. Rao, Michael A. Province, Et Al.

2020-Current year OA Pubs

No abstract provided.

The Relevance Of Rich Club Regions For Functional Outcome Post-Stroke Is Enhanced In Women, Anna K. Bonkhoff, Laura Heitsch, Chia-Ling Phuah, Et Al.

2020-Current year OA Pubs

No abstract provided.

Clinical And Molecular Characteristics Of A Novel Rare De Novo Variant In Ppp2ca In A Patient With A Developmental Disorder, Autism, And Epilepsy, Iris Verbinnen, Sara S Procknow, Lisa Lenaerts, Sara Reynhout, Aujan Mehregan, Chris Ulens, Veerle Janssens, Katherine A King

2020-Current year OA Pubs

PP2A-related (neuro) developmental disorders are a family of genetic diseases caused by a heterozygous alteration in one of several genes encoding a subunit of type 2A protein phosphatases. Reported affected genes, so far, are

Donor Chimerism And Immune Reconstitution Following Haploidentical Transplantation In Sickle Cell Disease, Yaya Chu, Brenda Grossman, Shalini Shenoy, Et Al

2020-Current year OA Pubs

INTRODUCTION: We previously reported the initial results of a phase II multicenter transplant trial using haploidentical parental donors for children and aolescents with high-risk sickle cell disease achieving excellent survival with exceptionally low rates of graft-versus-host disease and resolution of sickle cell disease symptoms. To investigate human leukocyte antigen (HLA) sensitization, graft characteristics, donor chimerism, and immune reconstitution in these recipients.

METHODS: CD34 cells were enriched using the CliniMACS

RESULTS: HLA antibodies were detected in 7 of 11 (64%) evaluable patients but rarely were against donor antigens. Myeloid engraftment was rapid (100%) at a median of 9 days. At 30 …

Primates Chunk Simultaneously-Presented Memoranda, Charles D Holmes, Shinung Ching, Lawrence H Snyder

2020-Current year OA Pubs

Though much research has characterized both the behavior and electrophysiology of spatial memory for single targets in non-human primates, we know much less about how multiple memoranda are handled. Multiple memoranda may interact in the brain, affecting the underlying representations. Mnemonic resources are famously limited, so items may compete for "space" in memory or may be encoded cooperatively or in a combined fashion. Understanding the mode of interaction will inform future neural studies. As a first step, we quantified interactions during a multi-item spatial memory task. Two monkeys were shown 1-4 target locations. After a delay, the targets reappeared with …

Resting State Network Mapping In Individuals Using Deep Learning, Patrick H Luckett, John J Lee, Ki Yun Park, Ryan V Raut, Karin L Meeker, Evan M Gordon, Abraham Z Snyder, Beau M Ances, Eric C Leuthardt, Joshua S Shimony

2020-Current year OA Pubs

INTRODUCTION: Resting state functional MRI (RS-fMRI) is currently used in numerous clinical and research settings. The localization of resting state networks (RSNs) has been utilized in applications ranging from group analysis of neurodegenerative diseases to individual network mapping for pre-surgical planning of tumor resections. Reproducibility of these results has been shown to require a substantial amount of high-quality data, which is not often available in clinical or research settings.

METHODS: In this work, we report voxelwise mapping of a standard set of RSNs using a novel deep 3D convolutional neural network (3DCNN). The 3DCNN was trained on publicly available functional …

Expert Guidance On Prophylaxis And Treatment Of Dermatologic Adverse Events With Tumor Treating Fields (Ttfields) Therapy In The Thoracic Region, Milan J Anadkat, Mario Lacouture, Adam Friedman, Zachary D Horne, Jae Jung, Benjamin Kaffenberger, Sujith Kalmadi, Liza Ovington, Rupesh Kotecha, Huda Ismail Abdullah, Federica Grosso

2020-Current year OA Pubs

Tumor Treating Fields (TTFields) are electric fields, delivered via wearable arrays placed on or near the tumor site, that exert physical forces to disrupt cellular processes critical for cancer cell viability and tumor progression. As a first-in-class treatment, TTFields therapy is approved for use in newly diagnosed glioblastoma, recurrent glioblastoma, and pleural mesothelioma. Additionally, TTFields therapy is being investigated in non-small cell lung cancer (NSCLC), brain metastases from NSCLC, pancreatic cancer, ovarian cancer, hepatocellular carcinoma, and gastric adenocarcinoma. Because TTFields therapy is well tolerated and delivery is locoregional, there is low risk of additive systemic adverse events (AEs) when used …

Sars-Cov-2 Booster Vaccination Rescues Attenuated Igg1 Memory B Cell Response In Primary Antibody Deficiency Patients, Frank J Lin, Alexa Michelle Altman Doss, Hannah G Davis-Adams, Lucas J Adams, Christopher H Hanson, Laura A Vanblargan, Chieh-Yu Liang, Rita E Chen, Jennifer Marie Monroy, H James Wedner, Anthony Kulczycki, Tarisa L Mantia, Caitlin C O'Shaughnessy, Saravanan Raju, Fang R Zhao, Elise Rizzi, Christopher J Rigell, Tiffany Biason Dy, Andrew L Kau, Zhen Ren, Jackson S Turner, Jane A O'Halloran, Rachel M Presti, Daved H Fremont, Peggy L Kendall, Ali H Ellebedy, Philip A Mudd, Michael S Diamond, Ofer Zimmerman, Brian J Laidlaw

2020-Current year OA Pubs

BACKGROUND: Although SARS-CoV-2 vaccines have proven effective in eliciting a protective immune response in healthy individuals, their ability to induce a durable immune response in immunocompromised individuals remains poorly understood. Primary antibody deficiency (PAD) syndromes are among the most common primary immunodeficiency disorders in adults and are characterized by hypogammaglobulinemia and impaired ability to mount robust antibody responses following infection or vaccination.

METHODS: Here, we present an analysis of both the B and T cell response in a prospective cohort of 30 individuals with PAD up to 150 days following initial COVID-19 vaccination and 150 days post mRNA booster vaccination. …

3d Bi-Directional Transformer U-Net For Medical Image Segmentation, Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M Zou, Heng Huang, Yong Wang, Liang Zhan

2020-Current year OA Pubs

As one of the popular deep learning methods, deep convolutional neural networks (DCNNs) have been widely adopted in segmentation tasks and have received positive feedback. However, in segmentation tasks, DCNN-based frameworks are known for their incompetence in dealing with global relations within imaging features. Although several techniques have been proposed to enhance the global reasoning of DCNN, these models are either not able to gain satisfying performances compared with traditional fully-convolutional structures or not capable of utilizing the basic advantages of CNN-based networks (namely the ability of local reasoning). In this study, compared with current attempts to combine FCNs and …

Decision-Making Factors For An Autologous Stem Cell Transplant For Older Adults With Newly Diagnosed Multiple Myeloma: A Qualitative Analysis, Owais Mian, Martine Puts, Arleigh Mccurdy, Tanya M Wildes, Mark A Fiala, Matthew Kang, Mary Salib, Shabbir Alibhai, Hira Mian

2020-Current year OA Pubs

PURPOSE: A utologous stem cell transplant (ASCT) remains a standard of care among older adults (aged ≥65) with multiple myeloma (MM). However, heterogeneity in the eligibility and utilization of ASCT remains. We identified decision-making factors that influence ASCT eligibility and utilization among older adults with MM.

METHODS: A qualitative study across two academic and two community centres in Ontario was conducted between July 2019-July 2020. Older adults with MM (newly diagnosed MM aged 65-75 in whom a decision had been made about ASCT in <12 months) and treating oncologists completed a baseline survey and a subsequent interview, which was analyzed using thematic analysis.

RESULTS: Eighteen patients completed the survey and 9 follow-up interviews were conducted. Patients were happy with …

Classical And Γδ T Cells Are Each Independently Sufficient To Establish Protection Against A Classical Strain Of Klebsiella Pneumoniae, Joseph J Mackel, Catherine Morffy Smith, Rachel K Wasbotten, Joy Twentyman, David A Rosen

2020-Current year OA Pubs

Infections with classical strains of the Gram-negative bacterium

Binary Acoustic Metasurfaces For Dynamic Focusing Of Transcranial Ultrasound, Zhongtao Hu, Yaoheng Yang, Lu Xu, Yao Hao, Hong Chen

2020-Current year OA Pubs

Transcranial focused ultrasound (tFUS) is a promising technique for non-invasive and spatially targeted neuromodulation and treatment of brain diseases. Acoustic lenses were designed to correct the skull-induced beam aberration, but these designs could only generate static focused ultrasound beams inside the brain. Here, we designed and 3D printed binary acoustic metasurfaces (BAMs) for skull aberration correction and dynamic ultrasound beam focusing. BAMs were designed by binarizing the phase distribution at the surface of the metasurfaces. The phase distribution was calculated based on time reversal to correct the skull-induced phase aberration. The binarization enabled the ultrasound beam to be dynamically steered …

Program Adaptation By Health Departments, Louise Farah Saliba, Peg Allen, Stephanie L Mazzucca, Emily Rodriguez Weno, Sarah Moreland-Russell, Margaret Padek, Ross C Brownson

2020-Current year OA Pubs

INTRODUCTION: The dissemination of evidence-based interventions (i.e., programs, practices, and policies) is a core function of US state health departments (SHDs). However, interventions are originally designed and tested with a specific population and context. Hence, adapting the intervention to meet the real-world circumstances and population's needs can increase the likelihood of achieving the expected health outcomes for the target population from the implemented intervention. This study identified how SHD employees decide to adapt public health programs and what influences decisions on how to adapt them.

MATERIALS AND METHODS: SHD employees (

RESULTS: Data, outcomes, and health department evaluations influenced decisions …

Mesenchymal Gene Expression Subtyping Analysis For Early-Stage Human Papillomavirus-Negative Head And Neck Squamous Cell Carcinoma Reveals Prognostic And Predictive Applications, Gregory M Mayhew, Joshua M Uronis, David Neil Hayes, Jose P Zevallos

2020-Current year OA Pubs

Patients with oral cavity squamous cell carcinoma (OCSCC) are predominantly human papillomavirus (HPV)(-), and treatment typically involves surgical resection ± neck dissection, followed by radiation ± chemotherapy. We previously described four mRNA expression patterns (classical, atypical, basal, and mesenchymal), each with unique genomic features and prognosis. Here, we examine the clinical utility of gene expression subtyping in head and neck squamous cell carcinoma (HNSCC) and introduce potentially predictive applications in HPV(-) OCSCC. A retrospective genomic database analysis was performed including 562 HNSCC patients from MD Anderson (MDA-GSE41116) and The Cancer Genome Atlas (TCGA). Samples were assigned molecular subtypes (classical, atypical, …

Four Decades Of Mapping And Quantifying Neuroreceptors At Work In Vivo By Positron Emission Tomography, Albert Gjedde, Dean F Wong

2020-Current year OA Pubs

Decryption of brain images is the basis for the necessary translation of the findings from imaging to information required to meet the demands of clinical intervention. Tools of brain imaging, therefore, must satisfy the conditions dictated by the needs for interpretation in terms of diagnosis and prognosis. In addition, the applications must serve as fundamental research tools that enable the understanding of new therapeutic drugs, including compounds as diverse as antipsychotics, antidepressants, anxiolytics, and drugs serving the relief of symptoms from neurochemical disorders as unrelated as multiple sclerosis, stroke, and dementia. Here we review and explain the kinetics of methods …

Survival After Simultaneous Pancreas-Kidney Transplantation In Type 1 Diabetes: The Critical Role Of Early Pancreas Allograft Function, Mengmeng Ji, Mei Wang, Wenjun Hu, Mohamed Ibrahim, Krista L. Lentine, Massini Merzkani, Haris Murad, Yazen Al-Hosni, Ronald Parsons, Jason Wellen, Su-Hsin Chang, Tarek Alhamad

2020-Current year OA Pubs

Simultaneous pancreas-kidney transplantation (SPK) carries about a 7%-22% risk of technical failure, but the impact of early pancreas allograft loss on subsequent kidney graft and patient survival is not well-defined. We examined national transplant registry data for type 1 diabetic patients who received SPK between 2000 and 2021. Associations of transplant type (i.e., SPK, deceased-donor kidney transplant [DDKA], living-donor kidney transplant [LDKA]) with kidney graft failure and patient survival were estimated by multivariable inverse probability of treatment-weighted accelerated failure-time models. Compared to SPK recipients with a functioning pancreas graft 3 months posttransplant (SPK,P+), LDKA had 18% (Time Ratio [TR] 0.82, …