Physical Sciences and Mathematics Commons^™

Modifed Playfair For Text File Encryption And Meticulous Decryption With Arbitrary Fillers By Septenary Quadrate Pattern, N. Sugirtham, R. Sherine Jenny, B. Thiyaneswaran, S. Kumarganesh, C. Venkatesan, K. Martin Sagayam, Lam Dang, Linh Dinh, Helen Dang

Faculty Publications: Mathematics and Computer Studies

Cryptography secures data and serves to ensure the confidentiality of records. Playfair is a cryptographic symmetrical algorithm that encrypts statistics based on key costs. This secret is shared with an authorized person to retrieve data. In the conventional pattern, there is an area complexity and deficiency in letters, numbers, and special characters. This hassle has been overcome in previous studies by editing pattern dimensions. The fillers used throughout the enciphering were not eliminated during the retrieval process, which resulted in the indiscrimination of the retrieved statistics. The proposed method uses a separate quadrate pattern that strengthens the Playfair cipher and …

The Coastal Monitor: Vol. 10 No. 2, John Tanacredi Ph.D.

The Coastal Monitor

Stephen J. Gould’s prophetic piece, “The Golden Rule: A Proper Scale for Our Environmental Crisis”, noted that, “Patience enjoys a long pedigree of favor”, which he elaborated, “usually involves a deep understanding of the fundamental principle… rarely grasped in daily life – the effects of scale.” Scientists observe changes incessantly, in dimensions and time, from microscopic conditions of cellular biology to the inconceivable distances of galaxies and their influences on Earth.

Metaverse’S Rise And Decline, Nir Kshetri, Jeffrey Voas, Yogesh K. Dwivedi, Diana Rojas Torres, Gayle O'Keefe

Faculty Publications: Business

Major companies in diverse industries have recently downsized or closed down their metaverse divisions. The authors look at the factors that have led to such strategies.

The Coastal Monitor: Vol. 10 No. 1, John Tanacredi Ph.D.

The Coastal Monitor

New Year’s Day has always been, for me, a time to reflect and project into the near future. Nature’s influence on us all certainly tops my listing with several environmental concerns. For example, the frequency and intensity of hurricanes to Long Island. A decade has passed since Superstorm Sandy re-opened the “Old Inlet” on Long Island which now has mostly naturally closed. So, the new year immediately prompts me to assess the previous year’s Hurricane Ian, a Category 4 system, with winds exceeding 150 mph, which had considerable impact in Florida, and then proceeded north resulting in over 2 inches …

Diverse Secondary Metabolites Are Expressed In Particle-Associated And Free-Living Microorganisms Of The Permanently Anoxic Cariaco Basin, David Gellar-Mcgrath, Paraskevi Mara, Gordon T. Taylor, Elizabeth A. Suter, Virginia Edgcomb, Maria Pachiadaki

Faculty Works: Biology, Chemistry, and Environmental Studies

Secondary metabolites play essential roles in ecological interactions and nutrient acquisition, and are of interest for their potential uses in medicine and biotechnology. Genome mining for biosynthetic gene clusters (BGCs) can be used for the discovery of new compounds. Here, we use metagenomics and metatranscriptomics to analyze BGCs in free-living and particle-associated microbial communities through the stratified water column of the Cariaco Basin, Venezuela. We recovered 565 bacterial and archaeal metagenome-assembled genomes (MAGs) and identified 1154 diverse BGCs. We show that differences in water redox potential and microbial lifestyle (particle-associated vs. free-living) are associated with variations in the predicted composition …

The Kappa Opioid Receptor: Candidate Pharmacotherapeutic Target For Multiple Sclerosis, Brian Reed, Surya Dutta

Faculty Works: Biology, Chemistry, and Environmental Studies

Multiple sclerosis (MS) afflicts millions of people worldwide. While multiple therapeutics have recently been developed and approved as treatment agents, they are not 100% effective. Recent developments investigating the endogenous opioid system involvement in MS has revealed that agonists of the kappa opioid receptor (KOR) have beneficial effects in both animal models of MS (and demyelinating disorders more generally) as well as in vitro models of remyelination. Several groups have contributed to this development. We summarize here the findings of these published studies, with comparisons of the effects and discussion of similarities and differences. The effects of KOR agonists involve …

Meningioma Brain Tumor Detection And Classifcation Using Hybrid Cnn Method And Ridgelet Transform, B.V Prakash, A. Rajiv Kanna, N. Santhiyakumari, S. Kumarganesh, D. Siva Sundhara Raja, J. Jasmine Hephzipah, K. Martin Sagayam, Marc Pomplun, Helen Dang

Faculty Works: MCS (1984-2023)

The detection of meningioma tumors is the most crucial task compared with other tumors because of their lower pixel intensity. Modern medical platforms require a fully automated system for meningioma detection. Hence, this study proposes a novel and highly efficient hybrid Convolutional neural network (HCNN) classifier to distinguish meningioma brain images from non-meningioma brain images. The HCNN classification technique consists of the Ridgelet transform, feature computations, classifier module, and segmentation algorithm. Pixel stability during the decomposition process was improved by the Ridgelet transform, and the features were computed from the coefficient of the Ridgelet. These features were classified using the …

Great South Bay, Long Island, New York Summer Water Quality Monitoring Program, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

The Center for Environmental Research and Coastal Oceans Monitoring (CERCOM) visits 11 locations in the Great South Bay from Memorial Day – Labor Day to monitor dissolved oxygen (DO), pH, salinity, clarity and temperature. Students are trained to assist in CERCOM’s water quality data collection by research assistant Mr. Kyle Maurelli. This monitoring program has been conducted for the past 17 years. These parameters are critical in determining long term water quality conditions in Long Island estuaries

Great South Bay, Long Island, New York Summer Phytoplankton Identification & Monitoring Program, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

Phytoplankton Collection Methodologies: 80 micron Plankton Tow Net with sample bottle attachment

Phytoplankton Protocol: 1.Gather Samples 2.Make one slide per sample 3.View slides using microscope connected with computer 4. Record findings using “ Row # “ and “ Column letter “ 5. Record using “ Tallies “ per species found within sample 6. Capture anything interesting “ Take Picture “ 7.Duplicate pictures taken 8.Make sure measurement of species found is taken 9. Email Jennifer Maucher at Jennifer.maucher@noaa.gov , include pictures, questions and names of the species you “guess” you found.

Daily Meteorological Report, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

Meteorological data is collected daily at CERCOM and is submitted to the National Weather Service (NWS), in Upton NY at the Brookhaven National Laboratories. Air Temperature, wind speed and direction, pH of precipitation, rain gauge, barometer pressure, cloud cover and estimated altitude by type, are data sets compiled and submitted to the NWS daily. CERCOM’s Co-Op site is the only continuous operating facility on Great South Bay.

Long Island Horseshoe Crab Network Annual Inventory Report, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

CERCOM conducts monitoring of 111 beach locations spanning from Brooklyn to Montauk during the optimal breeding season of Limulus polyphemus. These surveys span approximately 15 weeks, commencing in May and concluding in August. Each beach location is meticulously marked with GPS coordinates to ensure consistent annual revisitation. Participation in these surveys necessitates attendance at an HSC Survey training orientation, led by Mr. Key Maurelli, CERCOM's research assistant.

The Coastal Monitor: Vol. 9 No. 5, John Tanacredi Ph.D.

The Coastal Monitor

There are a multitude of lessons learned from the last 3 years of the Covid-19 pandemic. But one truly stands out ...the total lack of understanding of the basic chemistry associated with the nitrogen cycle, which in Suffolk County, NY, continues to be declared as the “evil-nitrogen”. The major source of nitrogen into the water body comes from the atmosphere which is the predominate constituent of the air we breathe79% nitrogen. Nitrogen compounds contribution to eutrophication in freshwater (ponds & lakes) systems is legendary and, the concentration of nitrogen in marine waters has always been known as a limiting agent …

Characterization Of Pyrrolidinyl-Hexahydro-Pyranopiperazines As A Novel Kappa Opioid Receptor Agonist Scaffold, Brian Reed, Michael Miller, Mayako Michino, Eduardo R. Butelman, Ariel Ben-Ezra, Philip Pikus, Michelle Morochnik, Yuli Kim, Amy Ripka, Joseph Vacca, Mary Jeanne Kreek

Faculty Works: Biology, Chemistry, and Environmental Studies

The kappa agonist structure–activity relationship around the novel, pyrrolidinyl substituted pyranopiperazine scaffold was developed. More specifically, the dichloroPhenylAcetamide-Pyrrolidinyl-PyranoPiperazine (PAPPP) core A was the focus of our work. The modulation of kappa receptor potency/G-protein activation and arrestin recruitment with respect to changes of the piperazine R group in A was demonstrated. Reduced β2-arrestin recruitment and differential G-protein bias were observed for select analogues. To better understand the subtlety in receptor signaling, analogues were profiled as the resolved enantiomers. To determine in vivo target engagement, a subset of compounds was tested in mice for stimulation of serum prolactin, a neuroendocrine biomarker of …

Changes In Breast Cancer Care In New York During The Covid-19 Pandemic, Alexandra Fiderlein, Cheyenne Rosado, Noelle L. Cutter Ph.D.

Faculty Works: Biology, Chemistry, and Environmental Studies

Breast cancer is the second most common malignancy among women in the United States. As such, the COVID-19 pandemic has caused medical facilities to change their methods of operation since March of 2020, including changes in diagnosis and treatment plans. New York (NY) has an unusually high incidence of breast cancer. This study analyzed the effects of the COVID-19 pandemic on breast cancer care (BCC) in NY. Women in NY that were diagnosed with or in remission for breast cancer were asked to take an online, anonymous survey regarding their BCC experience. For patients in treatment, 26% of women wished …

The Coastal Monitor: Vol. 8 No. 4, John Tanacredi Ph.D.

The Coastal Monitor

The original five acre of land portion of the historic Blue Points Oyster Company is located at the southern end of Atlantic Ave in West Sayville, Islip Town, Suffolk County, New York on the shore of Great South Bay. The Center for Environmental Research and Coastal Oceans Monitoring (CERCOM) is the science field station serving Molloy College’s BCES programs in Earth & Environmental Sciences and Biology. Our mission is to provide unique hands-on educational opportunities in the physical and life sciences, in collaboration with a host of Federal, State, and local and NGO groups, to bolster students’ career path. Great …

Eukaryotic Parasites Are Integral To A Productive Microbial Food Web In Oxygen-Depleted Waters, Elizabeth A. Suter, Maria Pachladaki, Gordon T. Taylor, Virginia P. Edgcomb

Faculty Works: Biology, Chemistry, and Environmental Studies

Oxygen-depleted water columns (ODWCs) host a diverse community of eukaryotic protists that change dramatically in composition over the oxic-anoxic gradient. In the permanently anoxic Cariaco Basin, peaks in eukaryotic diversity occurred in layers where dark microbial activity (chemoautotrophy and heterotrophy) were highest, suggesting a link between prokaryotic activity and trophic associations with protists. Using 18S rRNA gene sequencing, parasites and especially the obligate parasitic clade, Syndiniales, appear to be particularly abundant, suggesting parasitism is an important, but overlooked interaction in ODWC food webs. Syndiniales were also associated with certain prokaryotic groups that are often found in ODWCs, including Marinimicrobia and …

Lung_Paynet: A Pyramidal Attention Based Deep Learning Network For Lung Nodule Segmentation, P. Malin Bruntha, S. Immanuel Alex Pandian, K. Martin Sagayam, Shivargha Bandopadhyay, Marc Pomplun, Helen Dang

Faculty Works: MCS (1984-2023)

Accurate and reliable lung nodule segmentation in computed tomography (CT) images is required for early diagnosis of lung cancer. Some of the difficulties in detecting lung nodules include the various types and shapes of lung nodules, lung nodules near other lung structures, and similar visual aspects. This study proposes a new model named Lung_PAYNet, a pyramidal attention-based architecture, for improved lung nodule segmentation in low-dose CT images. In this architecture, the encoder and decoder are designed using an inverted residual block and swish activation function. It also employs a feature pyramid attention network between the encoder and decoder to extract …

An Effective Model For The Iris Regional Characteristics Andclassification Using Deep Learning Alex Network, Thiyaneswaran Balashanmugam, Kumarganesh Sengottaiyan, Martin Sagayam Kulandairaj, Helen Dang

Faculty Works: MCS (1984-2023)

Iris biometrics is one of the fastest-growing technologies, and it has received a lot ofattention from the community. Iris-biometric-based human recognition does not requirecontact with the human body. Iris is a combination of crypts, wolflin nodules, concen-trated furrows, and pigment spots. The existing methods feed the eye image into deeplearning network which result in improper iris features and certainly reduce the accuracy.This research study proposes a model to feed preprocessed accurate iris boundary intoAlexnet deep learning neural network-based system for classification. The pupil centre andboundary are initially recorded and identified from the given eye images. The iris boundaryand the centre …

Privacy Preserving Attribute-Focused Anonymization Scheme For Healthcare Data Publishing, J. Andrew Onesimu, Karthikeyan J, Jennifer Eunice, Marc Pomplun, Helen Dang

Faculty Works: MCS (1984-2023)

Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector, such as better quality of treatment, enhanced communication, remote monitoring, and reduced cost. Sharing healthcare data with healthcare providers is crucial for harnessing the benefits of such improvements. In general, healthcare data holds sensitive information about individuals. Hence, sharing such data is challenging because of various security and privacy issues. According to privacy regulations and ethical requirements, it is essential to preserve the privacy of patients before sharing data for medical research. State-of-the-art literature on privacy preserving studies either uses cryptographic approaches to protect the privacy or uses anonymizing …

Long Island Horseshoe Crab Network Annual Inventory Report, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

CERCOM monitors 115 beach locations from Brooklyn – Montauk during the optimal Limulus Polyphemus breeding season. These beach surveys take place for approximately 15 weeks, ranging from May - August. These beach locations are marked specifically using GPS coordinates, to assure the same location is visited each year. Students and volunteers are required to attend a HSC Survey training orientation led by CERCOM’s research assistant, Mr. Kyle Maurelli. Surveying is done around tide and moon cycles (New/Full Moon). Each site takes about 1-2 hours and data is recorded along an approximate 1 mile distance. Walking along the water’s edge the …

Daily Meteorological Report, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

Meteorological data is collected daily at CERCOM and is submitted to the National Weather Service (NWS), in Upton NY at the Brookhaven National Laboratories. Air Temperature, wind speed and direction, pH of precipitation, rain gauge, barometer pressure, cloud cover and estimated altitude by type, are data sets compiled and submitted to the NWS daily. CERCOM’s Co-Op site is the only continuous operating facility on Great South Bay.

Great South Bay, Long Island, New York Summer Phytoplankton Identification & Monitoring Program, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

Phytoplankton Collection Methodologies: 80 micron Plankton Tow Net with sample bottle attachment

Phytoplankton Protocol: 1.Gather Samples 2.Make one slide per sample 3.View slides using microscope connected with computer 4. Record findings using “ Row # “ and “ Column letter “ 5. Record using “ Tallies “ per species found within sample 6. Capture anything interesting “ Take Picture “ 7.Duplicate pictures taken 8.Make sure measurement of species found is taken 9. Email Jennifer Maucher at Jennifer.maucher@noaa.gov , include pictures, questions and names of the species you “guess” you found.

Great South Bay, Long Island, New York Summer Water Quality Monitoring Program, Cercom, Molloy University, John Tanacredi Ph.D., Kyle F. Maurelli

CERCOM Reports

The Center for Environmental Research and Coastal Oceans Monitoring (CERCOM) visits 11 locations in the Great South Bay from Memorial Day – Labor Day to monitor dissolved oxygen (DO), pH, salinity, clarity and temperature. Students are trained to assist in CERCOM’s water quality data collection by research assistant Mr. Kyle Maurelli. This monitoring program has been conducted for the past 17 years. These parameters are critical in determining long term water quality conditions in Long Island estuaries

Medication Calculations Dimensional Analysis Tutorial, Jennifer Emilie Mannino Ph.D., R.N., Elizabeth Cotter Ph.D, R.N.

Faculty Works: NUR (2010-2023)

Tutorial on medication calculations from The Barbara H Hagan School of Nursing and Allied Sciences.

The Bioinformatics Virtual Coordination Network: An Open-Source And Interactive Learning Environment, Benjamin J. Tully, Joy Buongiorno, Ashley B. Cohen, Jacob A. Cram, Arkadiy I. Garber, Sarah K. Hu, Arianna I. Krinos, Philip T. Leftwich, Alexis J. Marshall, Ella T. Sieradzki, Daan R. Speth, Elizabeth A. Suter, Christopher B. Trivedi, Luis E. Valentin-Alvarado, Jake L. Weissman, Bvcn Instructor Consortium

Faculty Works: Biology, Chemistry, and Environmental Studies

Lockdowns and “stay-at-home” orders, starting in March 2020, shuttered bench and field dependent research across the world as a consequence of the global COVID-19 pandemic. The pandemic continues to have an impact on research progress and career development, especially for graduate students and early career researchers, as strict social distance limitations stifle ongoing research and impede in-person educational programs. The goal of the Bioinformatics Virtual Coordination Network (BVCN) was to reduce some of these impacts by helping research biologists learn new skills and initiate computational projects as alternative ways to carry out their research. The BVCN was founded in April …

The Coastal Monitor: Vol. 7 No. 3, John Tanacredi Ph.D.

The Coastal Monitor

Where has all the pollution gone? No hazardous toxic algal blooms? Incredible summer estuarine water quality! No fish kills. Banner years in recreational fisheries for Stripers and Blues and incredible numbers of Humpback whales! No going to restaurants, so greater at home use of water and septic systems! Since March 2020, drier years than most, thus reducing runoff with fertilizers and organic pesticides, resulting in reduced water contamination. So maybe, just maybe, this COVID- 19 period which has altered our collective lives forever, has also resulted in a grand experiment on what has been hiding in plain sight? That is, …

Super-Resolution Reconstruction Of Brain Magnetic Resonance Images Via Lightweight Autoencoder, J. Andrew, T.S.R. Mhatesh, Robin D. Sebastin, K. Martin Sagayam, Jennifer Eunice, Marc Pomplun, Helen Dang

Faculty Works: MCS (1984-2023)

Magnetic Resonance Imaging (MRI) is useful to provide detailed anatomical information such as images of tissues and organs within the body that are vital for quantitative image analysis. However, typically the MR images acquired lacks adequate resolution because of the constraints such as patients’ comfort and long sampling duration. Processing the low resolution MRI may lead to an incorrect diagnosis. Therefore, there is a need for super resolution techniques to obtain high resolution MRI images. Single image super resolution (SR) is one of the popular techniques to enhance image quality. Reconstruction based SR technique is a category of single image …

Automated Sleep Stage Classification In Sleep Apnoea Using Convolutional Neural Networks, G. Naveen Sundar, D. Narmadha, A. Amir Anton Jone, K. Martin Sagayam, Helen Dang, Marc Pomplun

Faculty Works: MCS (1984-2023)

A sleep disorder is a condition that adversely impacts one's ability to sleep well on a regular schedule. It also occurs as a consequence of numerous neurological sicknesses. These types of disorders can be investigated using laboratory-based polysomnography (PSG) signals. The detection of neurological disorders is exact and efficient thanks to the automated monitoring of sleep relegation stages. This automation method publicly presents a flexible deep learning model and machine learning approach utilizing raw electroencephalogram (EEG) signals. The deep learning model is a Deep Convolutional Neural Network (CNN) that analyses invariant time capacities and frequency actualities and collects assessment adaptations. …

Visual-Saliency-Based Abnormality Detection For Mri Brain Images—Alzheimer’S Disease Analysis, A. Diana Andrushia, K. Martin Sagayam, Helen Dang, Marc Pomplun, Lien Quach

Faculty Works: MCS (1984-2023)

In recent years, medical image analysis has played a vital role in detecting diseases in their early stages. Medical images are rapidly becoming available for various applications to solve human problems. Therefore, complex medical features are needed to develop a diagnostic system for physicians to provide better treatment. Traditional methods of abnormality detection suffer from misidentification of abnormal regions in the given data. Visual-saliency detection methods are used to locate abnormalities to improve the accuracy of the proposed work. This study explores the role of a visual saliency map in the classification of Alzheimer’s disease (AD). Bottom-up saliency corresponds to …

A Novel Hybrid K-Means And Gmm Machine Learning Model For Breast Cancer Detection, P. Esther Jebarani, N. Umadevi, Helen Dang, Marc Pomplun

Faculty Works: MCS (1984-2023)

Breast cancer is the second leading cause of death among a large number of women worldwide. It may be challenging for radiologists to diagnose and treat breast cancer. Consequently, primary care improves disease prevention and death. Early detection increases treatment options and saves life, which is the major target of this research. This research indicates the versatility of the methodology by integrating contemporary segmentation approaches with machine learning methods, which are developing areas of research. In the pre-processing process, an adaptive median filter is utilized for noise removal, enhancement of image quality, conservation of edges, and smoothing. This research makes …