Digital Commons Network^™

Ethics In Medical Research And Experimentation, Carlos Castañeda Guillot, Icler Sisalema Aguilar, Alex Valencia Herrera, Wilder Fabio Ramos Palacios

Neutrosophic Sets and Systems

No abstract provided.

Evaluation Of The Effectiveness Of Preventive Dental Education In Primary Schools, Marianela Buitrón Recalde, Sandra Rojas Rojas, Marco Zúñiga Llerena, Anthony Rafael Sotolongo León

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems {Special Issue: Neutrosophic Advancements And Their Impact On Research In Latin America}, Vol. 62, 2023, Florentin Smarandache, Mohamed Abdel-Basset, Maikel Leyva Vazquez, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Employing An Abolitionist, Critical Race Pedagogy In Cs: Centering The Voices, Experiences And Technological Innovations Of Black Youth, Tiera Tanksley

Journal of Computer Science Integration

This paper proposes a pedagogical extension of culturally responsive praxis called abolitionist, critical race pedagogy in CS. To showcase the power and potentiality of this pedagogy, this paper examines the experiences of 2 cohorts of Black high school students (n = 30) who participated in a critical race technology course that was taught during the dual pandemic of COVID-19 and anti-Black racism. The goal of this summer course was to employ an abolitionist, critical race pedagogy in CS to foster Black students’ ability to critically examine the ubiquity of anti-Black racism within the socio-technical architectures (e.g. code, data, algorithms and …

Characterization Of Social Skills And Emotion Management Of Students In A Public Peruvian University Based On Plithogenic Statistics And Indeterminate Likert Scale, Camayo-Lapa, Becquer Frauberth, Flores Ledesma Katia Ninozca, Liz Evelyn Landa-Guadalupe, Miguel Angel Quispe-Solano,, Porta Erika Amelia De La Cruz, Bulnes Jorge Luis López, Carlos Francisco Cabrera Carranza, Agueda Saturnina Choque Mandamiento

Neutrosophic Sets and Systems

No abstract provided.

Unlocking The Potential Of Earned Value Management In Construction: A Comparative Study, Mohamed Elsaid

Theses and Dissertations

The implementation of earned value management (EVM) in the construction industry faces challenges when it comes to application, accuracy, and interpretability of results, with potential enhancements yet to be realized. In light of technological advancements, there is an opportunity to develop a controlled EVM approach for improved project management. The goal of this research is to enhance the application and accuracy of earned value techniques in Egyptian construction projects through a comprehensive evaluation of Earned Duration, Earned Schedule, and Planned Value methods. The key challenge that is addressed in this research lies in selecting an optimal technique considering the variations …

Chimera Baryon Spectrum In The Sp(4) Completion Of Composite Higgs Models, Ho Hsiao, Ed Bennett, Deog Ki Hong, Jong-Wan Lee, C.-J. David Lin, Biagio Lucini, Maurizio Piai, Davide Vadacchino

School of Engineering, Computing and Mathematics

In strongly coupled gauge theories that serve as completions of composite Higgs models, thefermionic bound states formed by fermions (hyperquarks) transforming in different representations, called chimera baryons, could serve as top partners, by embedding of the Standard Modelappropriately. We report our results on the spectrum of chimera baryons in the �� ��(4) gauge theorywith hyperquarks transforming in fundamental and two-index antisymmetric representations. Forthis study, we adopt the quenched approximation. We investigate the mass hierarchy between thelightest chimera baryons with different quantum numbers, as a function of the lattice parameters.Inspired by baryon chiral effective field theory, and the Akaike Information Criterion, …

The Deconfinement Phase Transition In $Sp(2n)$ Gauge Theories And The Density Of States Method, David Mason, Biagio Lucini, Maurizio Piai, Enrico Rinaldi, Davide Vadacchino

School of Engineering, Computing and Mathematics

First-order phase transitions in the early universe might produce a detectable background ofgravitational waves. As these phase transitions can be generated by new physics, it is importantto quantify these effects. Many pure Yang-Mills gauge theories are known to undergo first-orderdeconfinement phase transitions, with properties that can be studied with lattice simulations.Despite the recent surge of interest in ����(2��) gauge theories as a candidate for models of physicsbeyond the standard model, studies of these theories at finite temperature are still very limited. Inthis contribution we will present preliminary results of an ongoing numerical investigation of thethermodynamic properties of the deconfinement phase …

Timeliness In Deterministic Network Data Transfer With An Mqtt Publisher For A Mobile Truck Platoon Scenario, Akram Sheriff, Pascal Thubert, Frank Brockners

Defensive Publications Series

Techniques are presented herein that support the guaranteed and timely delivery of operational technology (OT) messages across any technology-agnostic, wireless Internet of things (IoT) gateway (within a cluster, a truck platoon, a mobility as a service (MaaS) use case, etc.) when the primary node that is running an MQTT publisher (having an active network connection to an MQTT broker or MQTT server) becomes unavailable. Under such an arrangement, an MQTT broker could, depending upon the MaaS or other use case, be running in an edge layer (in an edge-native mode, in a fog layer, or in a cloud layer as …

An Ensemble Dnn Model For Automatic Detection Of Covid-19 From Cxr Scans, Hagar Hesham Eldawoudy, Mohamed Abdelazim Mohamed, Eman Abdelhalim

Mansoura Engineering Journal

The new coronavirus 2019 (COVID-19) pandemic has been destructive to human life and has resulted in a significant number of deaths globally. Detecting COVID-19 as early as possible is a critical way to prohibit the virus from quickly passing among people. RT-PCR is a method used for COVID-19 detection, but it is very expensive and isn’t an accurate method due to its sensitivity of 60–70%. For these reasons, deep learning and imaging techniques are combined by doctors, scientific experts, and professionals for accurate and rapid COVID-19 detection. In this work, we propose a stacked ensemble model based on Linear Regression …

Imagining Ai: How The World Sees Intelligent Machines, Amine Oudghiri

Critical Humanities

Imagining AI: How the World Sees Intelligent Machines

The New Old Logic Of Ai: A Review Of Mark Coeckelbergh’S The Political Philosophy Of Ai And Calvin Lawrence’S Hidden In White Sight, Steven Wandler

Critical Humanities

The New Old Logic of AI: A Review of Mark Coeckelbergh’s The Political Philosophy of AI and Calvin Lawrence’s Hidden in White Sight by Steven Wandler, St. Catherine University

Algorithmic Reason: Tobias Blanke Interviewed By Puspa Damai, Tobias Blanke, Puspa Damai

Critical Humanities

Algorithmic Reason: Tobias Blanke

interviewed by Puspa Damai

Aesthetics After The Ontological Turn: An Ecological Approach To Artificial Creativity, Miguel Carvalhais, Diniz C. Ribeiro

Critical Humanities

The development of chatbots and other generative systems powered by AI, particularly the latest version of ChatGPT, rekindled many discussions on topics such as intelligence and creativity, even leading some to suggest that we may be undergoing a “fourth narcissistic wound”. Starting from Margaret Boden’s approach to creativity, we will argue that if computational systems have always excelled at combinatorial creativity, current AI systems stand out at exploratory creativity but are perceived as still falling flat regarding transformational creativity. This paper explores some of the reasons for this, including how, despite the immensity of the conceptual space that results from …

Guilty Machines: On Ab-Sens In The Age Of Ai, Dylan Lackey, Katherine Weinschenk

Critical Humanities

For Lacan, guilt arises in the sublimation of ab-sens (non-sense) into the symbolic comprehension of sen-absexe (sense without sex, sense in the deficiency of sexual relation), or in the maturation of language to sensibility through the effacement of sex. Though, as Slavoj Žižek himself points out in a recent article regarding ChatGPT, the split subject always misapprehends the true reason for guilt’s manifestation, such guilt at best provides a sort of evidence for the inclusion of the subject in the order of language, acting as a necessary, even enjoyable mark of the subject’s coherence (or, more importantly, the subject’s separation …

Humanities In The Time Of Chatgpt And Other Forms Of Ai, Puspa Damai, Barbara Postema

Critical Humanities

Humanities in the time of ChatGPT and other forms of AI

Pwm-Controlled Three Level Stacked Structure Llc Resonant Converter And Method Of Controlling Same, H. Alan Mantooth, Yuqi Wei

Patents Granted

The invention discloses a novel control scheme/strategy for the stacked structure LLC resonant converter. The control scheme includes a control signal as a gating signal of the fourth switch, and gating signals of the first, second and third switches that are operably generated according to the gating signal of the fourth switch. The gating signals of the second switch has a same duty ratio as and a phase shift of 180 degrees from the gating signal of the fourth switch. The gate signals of the first and third switches are complementary with the gate signals of the second and fourth …

Product Pricing And Return Refund Strategy In Two Layer Supply Chain, Abhijit Barman, Hiren Lekhadiya, Subhajit Giri, Tushar Mandanaka

Conference Articles

In the current situation of globalization, many businesses have adopted and implemented supply chain strategies, especially as their operations become more worldwide. Management of corporate operations over extensive supply chains is becoming increasingly important. Product recycling and product return policy are sustainable strategies to reduce environmental and economic deterioration. Additionally, to increase product sales with customer satisfaction, a return refund strategy is an essential strategy for a business organization in a competitive market. In this research, we have developed a manufacturer-retailer two-layer supply chain model with a return-refund strategy. We have formulated price and refund amounts dependent on demand for …

Research On Trajectory Planning Method For Camellia Oleifera Fruit Sorting Robot Based On Multi-Objective Optimization, Fu Mingdi, Li Zhong, Wang Qianru, Zhao Fei

Food and Machinery

Objective: Solved the problems of poor motion stability and accuracy in the food sorting process of parallel robots. Methods: Based on the analysis of the three degree of freedom food sorting robot system, a method proposed which combined polynomial interpolation and improve multi-objective particle swarm optimization algorithm for Delta robot trajectory optimization. As a parallel robot, the optimization of the shortest operation time, lowest energy consumption, and minimal motion impact were taken as multiple objectives. The improved multi-objective particle swarm optimization algorithm was applied to optimize the polynomial interpolation method, and its performance was validated. Results: The planning trajectory of …

Prediction Of Moisture Content Of Hummus Peach Based On Multi-Burr Hyperspectral Data, Gao Aidi, Qiao Fengzhang, Zhu Wenxuan, Zhong Xiaopin, Deng Yuanlong

Food and Machinery

Objective: To propose a new solution to overcome the two challenges of data with spikes and small sample sizes in nectarine hyperspectral measurement. Methods: Based on hyperspectral imaging technology, image processing methods were used to identify the area of nectarines in the hyperspectral image, and the spectral reflectance data of the area was calculated to form a hyperspectral curve image. For hyperspectral image data with spikes and noise, compared the effects of several data preprocessing methods, including polynomial smoothing algorithm (SG), multivariate scatter correction algorithm (MSC), standard normal variate algorithm (SNV), first-order derivative operator (D1), and second-order derivative operator (D2) …

Effects Of Sublimation Temperature On Cell Microstructure Of Pear Melon During Vacuum Freeze Drying, Tian Jinjin, Yao Chaoyang, Zhang Zhiqiang, Zhang Zhe, Ji Hongwei, Wu Jinyu

Food and Machinery

Objective: This study aimed to obtain optimal sublimation temperature of pear melon cells. Methods: The pre-freezing cooling rate and vacuum pressure were selected by optimization method to be 25 ℃/min and 10 Pa, respectively, based on cryogenic microscope imaging and vacuum freeze-drying technology. Then, sublimation temperatures of 10, 5, 0, -4, -7 and -10 ℃ were used for experimental research. The morphological parameters (equivalent diameter, area, circumference, volume), internal pressure, and porosity of cells during the process of dehydration and drying were analyzed. Results: As the sublimation temperature rose, the morphological parameters of different dimensions of cells first decreased and …

Research On Image Recognition Of Cracked Eggs Based On Convolutional Neural Network Model, Li Shu, Tang Mengdi, Tong Siyuan, Sun Ke

Food and Machinery

Objective: In order to improve the accuracy and operating efficiency of the egg crack detection method based on computer vision. Methods: Used poultry egg simulation impact equipment to obtain cracked eggs, and collected images of cracked eggs and intact eggs from different angles through egg dynamic image acquisition equipment. Then, the YOLO-v5, ResNet and SuffleNet models for cracked egg image recognition were established for the original and the preprocessed egg images, respectively. After that, the recognition accuracy and the adaptability for original egg images recognition of different models were compared. Results: The YOLO-v5, ResNet and SuffleNet models could effectively identify …

Design And Application Of Portable Intelligent Rice Freshness Detection System, Shao Xiaokang, Lin Hao, Wang Zhuo, Li Yibing, Chen Quansheng

Food and Machinery

Objective: To realize rapid nondestructive testing of rice freshness. Methods: A portable device system based on nano color-sensitive sensors combined with near-infrared spectroscopy was developed. The spectral data of the corresponding color-sensitive sensors were collected for the identification of multi-gradient rice adulteration and the prediction of freshness across batches of rice. Results: Using Si-CARS-PLS to extract spectral characteristic variables, the recognition rate of discriminative model was the highest after modeling by LDA algorithm, and the recognition rate of training set and prediction set were 97.22% and 95.83%, respectively. At the same time, PLSR model predicted that cross-batch data had stronger …

Rapid Detection Of Moisture Content Of Pineapple Based On Near Infrared Spectroscopy And Ssa-Relm, Zhao Yanli, Zhao Qian, Li Zhiqiang

Food and Machinery

Objective: A method for a fast and non-destructive detection of pineapple moisture content was established. Methods: A novel detection model of pineapple moisture content was proposed based on continuous projection feature wavelength selection and Sparrow search algorithm. Firstly, according to the characteristic of pineapple NIR data with high dimension and redundant information, the results of feature wavelength selection such as successive projections algorithm, principal component analysis and full-band were compared, the selection method of characteristic wavelength of pineapple near infrared spectrum was determined. Secondly, considering that the performance of RELM model was affected by the selection of input layer weight …

Food Packaging Defect Detection By Improved Network Model Of Faster R-Cnn, Xia Junyong, Wang Kangyu, Zhou Hongdi

Food and Machinery

Objective: Accurate identification and location of paper packaging box defects. Methods: The improved network model of Faster R-CNN was applied to automatically detect box defects. The data of the training set picture was enhanced and noise was added to improve the training accuracy and robustness of the model. The feature extraction network was replaced with ResNet50, and the feature pyramid network （FPN） was fused to improve the multi-scale detection ability of the model. K-means++ was used to cluster the defect scale in the dataset and optimize the anchor box scheme. Results: The average accuracy （AP） of the improved Faster R-CNN …

Application Progress Of Supercritical Fluid Chromatography In Food Quality And Safety, Xing Qianqian

Food and Machinery

Modern supercritical fluid chromatography technology has better stability and robustness, which can be coupled with mass spectrometry. Supercritical fluid chromatography has the characteristics of high selectivity, high sensitivity and short consumption time, which is not only suitable for high-throughput analysis, but also the analysis of trace compounds in complex samples. Moreover, the application of supercritical fluid chromatography in food quality and safety and the future development direction of supercritical fluid chromatography were also discussed.

Advances In Biological Activities Of Rape Bee Pollen And Its Development And Utilization, Yan Wenrui, Ji Le, Hu Yingjun, Chen Simin, Zheng Hongxing, Qi Shanshan

Food and Machinery

The research and development value of rape bee pollen, a natural health raw material, is increasing as public awareness of health issues develops. This review introduced the various nutrients and active substances contained in rape bee pollen and summarized the biological activities and pharmacological effects of rape bee pollen in antioxidant, anti-inflammatory, immune enhancement, antibacterial, prostate protection, anti-diabetic complications, anti-tumor, intestinal regulation, and ovarian protection. The application of rapeseed bee pollen in bee products, health care products, food, medicine and cosmetics was discussed. The development direction of rapeseed bee pollen was prospected.

Passive Physical Layer Distinct Native Attribute Cyber Security Monitor, Christopher M. Rondeau, Michael A. Temple, Juan L. Lopez Jr., J. Addison Betances

AFIT Patents

A method for cyber security monitor includes monitoring a network interface that is input-only configured to surreptitiously and covertly receive bit-level, physical layer communication between networked control and sensor field devices. During a training mode, a baseline distinct native attribute (DNA) fingerprint is generated for each networked field device. During a protection mode, a current DNA fingerprint is generated for each networked field device. The current DNA fingerprint is compared to the baseline DNA fingerprint for each networked field device. In response to detect at least one of RAA and PAA based on a change in the current DNA fingerprint …

Protection Of Polymeric/Organic Materials From Photodegradation By Encapsulation, Elias K. Stefanakos, Sesha S. Srinivasan

USF Patents

Structures of a particle containing a core and at least one shell, a metal oxide material of which is necessarily doped to ensure protection of a material of the core from photodegradation. The core can include any of a thermochromic material, a phase-change material, and a judiciously defined auxiliary material that in turn contains organic and/or polymeric material. Derivative products utilizing a plurality of such particles. Methodologies for producing such particles and derivative products.

Laurie Babin Completes Journey From Military To Academia, Samantha Hendrix

University of Mississippi News

OXFORD, Miss. – Laurie Babin's career is marked by service, and the University of Mississippi instructional associate professor of business administration is sharing that passion with her students.