Diagnostic Ability and Capacity of Optical Coherence Tomography-Angiography to Detect Retinal and Vascular Changes in Patients with Fibromyalgia by Elena Garcia-Martin, Alvaro Tello, Elisa Vilades, Javier Perez-Velilla, Beatriz Cordon, Diego Fernandez-Velasco, Javier Garcia-Campayo, Marta Puebla-Guedea, Maria Satue

Get full text

Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…Methods: This research utilizes secondary data, specifically a retinal image dataset from the open-source Messidor database. This database comprises 1200 retinal images, each measuring 1440 × 940 pixels. …”
Get full text

Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
Get full text

Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM by Samuel Owoeye, Folasade Durodola, Adekunle Oyelami, Racheal Oladejo, Samuel Obasuyi, Ademola Qasim, Joshua Ogundairo

“…The topic of security is quite important; hence this paper presents the development and implementation of a Smart Intruder Detection System utilizing the ESP32-CAM board, the Vibrometer and the ATMega328P microcontroller to enhance lighting, security, and surveillance functionalities. …”
Get full text

Identification, Characterization, Expression Profiling and Functional Analysis of Tobacco <i>CalS</i> Gene Family by Hong Wang, He Meng, Xiaohan Qi, Yi Pan, Bailu Ji, Liuying Wen, Yanjun Zan, Huan Si, Yuanying Wang, Dan Liu, Aiguo Yang, Zhengwen Liu, Lirui Cheng

Get full text

Atmospheric Modulation Transfer Function Calculation and Error Evaluation for the Panchromatic Band of the Gaofen-2 Satellite by Zhengqiang Li, Mingjun Liang, Yan Ma, Yang Zheng, Zhaozhou Li, Zhenting Chen

Get full text

Drought Modulates Root–Microbe Interactions and Functional Gene Expression in Plateau Wetland Herbaceous Plants by Yuanyuan Chen, Shishi Feng, Qianmin Liu, Di Kang, Shuzhen Zou

Get full text

Depth Function of Available Phosphorus and Potassium Distribution in Different Mid-Mesopotamian Plain Saline Soils by Kusay A. Wheib, Afrah K. Al-Jubouri, Husian A. Isa, Wejdan T. Kadhim

Get full text

Depth Function of Available Phosphorus and Potassium Distribution in Different Mid-Mesopotamian Plain Saline Soils by Kusay A. Wheib, Afrah K. Al-Jubouri, Husian A. Isa, Wejdan T. Kadhim

Get full text

Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…This makes unknown ocean currents a significant error source that leads to substantial cumulative positioning errors. …”
Get full text

Looking at the Distant Universe with the MeerKAT Array: The H i Mass Function in the Local Universe by Amir Kazemi-Moridani, Andrew J. Baker, Marc Verheijen, Eric Gawiser, Sarah-Louise Blyth, Danail Obreschkow, Laurent Chemin, Jordan D. Collier, Kyle W. Cook, Jacinta Delhaize, Ed Elson, Bradley S. Frank, Marcin Glowacki, Kelley M. Hess, Benne W. Holwerda, Zackary L. Hutchens, Matt J. Jarvis, Melanie Kaasinen, Sphesihle Makhathini, Abhisek Mohapatra, Hengxing Pan, Anja C. Schröder, Leyya Stockenstroom, Mattia Vaccari, Tobias Westmeier, John F. Wu, Martin Zwaan

“…This new method tracks the recovery of sources in mass bins different from those in which they were injected and incorporates a Poisson likelihood in the forward modeling process, allowing it to correctly handle uncertainties in bins with few or no detections. …”
Get full text

Enhanced Bioactivity and Anti-microbial Properties of Lactobacillus plantarum Fermented Purple Onion (Allium cepa L.) Extracts Against Selected Poultry Microbes by Phan Vu Hai, Ho Dung, Tran Nguyen Thao, Nguyen Xuan Hoa, Pham Hoang Son Hung

Get full text

Understanding Impedance Response Characteristics of a Piezoelectric-Based Smart Interface Subjected to Functional Degradations by Ba-Phu Nguyen, Quang Hung Tran, Thanh-Truong Nguyen, Ananta Man Singh Pradhan, Thanh-Canh Huynh

Get full text

Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis by Hongwu Chen, Fan Feng, Pengwei Lou, Ying Li, MingLi Zhang, Feng Zhao

Get full text

Fuzzy-Based Novel Cross-Layer RPL Objective Function for Energy-Aware Routing in IoT by M. R. Poornima, H. S. Vimala, J. Shreyas

“…Abstract Energy consumption remains a critical challenge for low-power, resource-constrained Internet of Things (IoT) devices operating over Low-Power and Lossy Networks (LLNs). …”
Get full text

Rural Water Point Functionality Estimates and Associations: Evidence From Nine Countries in Sub‐Saharan Africa and South Asia by Anna L. Murray, Gabriela Stone, Audrey R. Yang, Nicholas F. Lawrence, Hannah Matthews, Georgia L. Kayser

Get full text

5G network slicing function migration mechanism based on particle swarm optimization algorithm by Qiang CHEN, Caixia LIU, Lingshu LI

“…In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability.…”
Get full text

Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
Get full text

A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

Get full text

Shelf-Life Evaluation of a Novel Functional Product from a Blend of Powdered Vegetables by Aisha Idris Ali, Virginia Paul, Munir Abba Dandago, Fatima Idris Ali, Daniel Amiteye

“… Perishable fresh vegetables that do not meet cosmetic standards and other crop waste rich resources are presently wasted. Mangifera indica leaves, Psidium guajava leaves, Petroselinum crispum leaves and Daucus carota were selected as model vegetables to show that they can be converted into a shelf-stable novel functional powdered product. …”
Get full text