Artificial intelligence in food system: Innovative approach to minimizing food spoilage and food waste by Helen Onyeaka, Adenike Akinsemolu, Taghi Miri, Nnabueze Darlington Nnaji, Keru Duan, Gu Pang, Phemelo Tamasiga, Samran Khalid, Zainab T. Al-Sharify, Chinenye Ugwa

“…Key innovations highlighted include early detection systems for spoilage indicators, dynamic algorithms for optimal storage conditions, and predictive models for waste forecasting based on real-time environmental data. …”
Get full text

Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images by M. Elena Martinez-Perez, Franziska G. Rauscher, Pingping Zhao, Tobias Elze

“…BloodVesselReg implements an image registration and mosaicing algorithm based on retinal blood vessels. OCTFundusReg optimizes a general-purpose image registration toolkit to operate on SLO images. …”
Get full text

CLINICAL AND MORPHOLOGICAL APPROACH TO DIAGNOSIS OF "IDIOPATHIC" ARRHYTHMIAS AND DILATED CARDIOMYOPATHY SYNDROME AS A BASIS FOR DIFFERENTIATED THERAPY. Part II (Treatment) by O. V. Blagova, A. V. Nedostup, E. A. Kogan, V. A. Sulimov, Yu. V. Osipova, V. P. Sedov, A. G. Kupriyanova, V. A. Zaydenov, A. E. Donnikov, V. V. Kadochnikova

“…The frequency of the viral genome detection in the myocardium in IA, DCM and the control group was 17.6%, 66.7% and 77.1%, respectively. …”
Get full text

Identification of subcellular localization of Arabidopsis AGO2 by ZHAO Li, XIA Wenqiang, CAI Xinzhong

“…AtAGO2 was transiently expressed by Agrobacterium-mediated method in leaves of Nicotiana benthamiana. Results of detection of green fluorescence signal by confocal laser-scanning microscope showed that AtAGO2 was localized in cytoplasm, plasma membrane and nucleus. …”
Get full text

Laser Phase Noise Tolerant and Power-Fading-Free Hybrid Fiber-Wireless Double-Sideband Transmission With Spectral Efficiency Enhancement by Jiankang Li, Yuancheng Cai, Shitong Xiang, Xiaoguang Yang, Mingzheng Lei, Bingchang Hua, Jiao Zhang, Junjie Ding, Yucong Zou, Xingyu Chen, Xiang Liu, Yunwu Wang, Jianjun Yu, Min Zhu

“…However, its generated MMW signal by optical heterodyne detection usually suffers from serious laser phase noise, which will severely deteriorate the system performance. …”
Get full text

Magnetic Resonance Imaging in the Diagnosis of Aortic Wall Elastic Properties Disorders and Its Hemodynamics by K. R. Bril, A. A. Pronkin, T. N. Galyan, V. V. Khovrin

“…This means that, regardless of etiology, the early detection of a progressive loss of aortic elasticity is of great clinical importance in preventing the development of severe complications. …”
Get full text

Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
Get full text

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review by Sarah Aziz, Amal A M Ali, Hania Aslam, Alaa A Abd-alrazaq, Rawan AlSaad, Mohannad Alajlani, Reham Ahmad, Laila Khalil, Arfan Ahmed, Javaid Sheikh

“…The primary selection criterion was the inclusion of studies that utilized AI algorithms to detect or predict various sleep disorders using data from wearable devices. …”
Get full text

Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation by Zihan Wang, Wenjing Cui, Long Liang, Jingge Qu, Yuqiang Pei, Danyang Li, Ying Luo, Yue Zhang, Yifan Qiu, Yongchang Sun

“…Methods Gene expression profiling interactive analysis (GEPIA), human protein atlas (HPA), cBioPortal, Kaplan–Meier (KM) plotter, single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm and SubMap algorithms were utilized to analyze the role of ELOVLs in the LUAD. …”
Get full text

Comparing viral, bacterial, and coinfections in community-acquired pneumonia, a retrospective cohort study by Frederike Waldeck, Solveig Lemmel, Marcus Panning, Nadja Käding, Andreas Essig, Gernot Rohde, Mathias W. Pletz, Martin Witzenrath, Sebastien Boutin, Jan Rupp

“…Patients were divided into four groups based on the detection of bacterial pathogens, viral pathogens, bacterial/viral coinfection, and no pathogen detected. …”
Get full text

A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

“…Nevertheless, for grapes with short pedicels or occluded pedicels, the designed morphological algorithm exhibited the loss of picking point calculations. …”
Get full text

Sarcopenia, Depressive Symptoms, and Fall Risk: Insights from a National Cohort Study in the Chinese Population by Zhang X, Ye D, Dou Q, Xie F, Zeng R, Zhu K, Zhu W, Zhu A, Chen L, Wu Y, Fan T, Peng P, Huang Y, Xiao S, Bian J, Shi M, Wang J, Zhang W

“…Sarcopenia was confirmed using the 2019 Asian Working Group for Sarcopenia (AWGS) algorithm consisting of muscle strength, appendicular skeletal muscle mass (ASM), and physical performance. …”
Get full text

Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning by G. Burch Fisher, Andrew J. Elmore, Matthew C. Fitzpatrick, Darin J. McNeil, Jeff W. Atkins, Jeffery L. Larkin

“…In this paper, we develop a timber harvest mapping workflow using machine learning (XGBoost algorithm) and single campaign airborne light detection and ranging (LiDAR) surveys for the state of Pennsylvania, USA. …”
Get full text

Identifying neural substrates of competitive interactions and sequence transitions during mechanosensory responses in Drosophila. by Jean-Baptiste Masson, François Laurent, Albert Cardona, Chloé Barré, Nicolas Skatchkovsky, Marta Zlatic, Tihana Jovanic

Get full text

Number of intraepithelial lymphocytes and presence of a subepithelial band in normal colonic mucosa differs according to stainings and evaluation method by Anne-Marie Kanstrup Fiehn, Peter Johan Heiberg Engel, Ulla Engel, Dea Natalie Munch Jepsen, Thomas Blixt, Julie Rasmussen, Signe Wildt, Wojciech Cebula, Andreea-Raluca Diac, Lars Kristian Munck

“…Basic histological features, number of IELs, and thickness of a subepithelial band was manually evaluated and a deep learning-based algorithm was developed to digitally determine the number of IELs in each of the two compartments; surface epithelium and cryptal epithelium, and the density of lymphocytes in the lamina propria compartment. …”
Get full text

Optimization of a structured illumination spectrophotometric technique for optical properties determination of dense solutions by Thomas Koffi, Guy-Oscar Regnima, Emmanuel Gozoua, Mensah Edoe, Serge Adepo, Evariste Amany, Jocelyne Bosson, Jérémie Zoueu

“…In this study, the performance of the single-phase configuration of these optical device 1p-SLIPI, was tested over a wide range of levels of coffee’s concentrations. The lock-in detection algorithm developed from Fourier transform of raw images, allowed to effectively remove the contribution of multiple scattering in these images. …”
Get full text

Long-term behaviour of non-functioning pituitary microadenomas: experience from a tertiary care centre in Romania by Mădălina Elena Iftimie, Mădălina Elena Iftimie, Iulia Florentina Burcea, Iulia Florentina Burcea, Ramona Dobre, Ramona Dobre, Stella Pigni, Flavia Prodam, Cătălina Poiană, Cătălina Poiană

“…This study aims to characterize the natural history of conservatively treated micro-NFPAs and provide evidence for a management algorithm.MethodsRetrospective, single center cohort study that analyzed clinical, hormonal and imaging data of conservatively managed micro-NFPAs (years 2018-2023).Results371 patients with micro-NFPAs were included in the study (mean age at diagnosis 41.26 ± 13.71 years, 91.6% females) with a mean tumor size at detection of 5.51 ± 1.95 mm. …”
Get full text

Simultaneous determination of 7 thiols associated proteins in lymphoma patients’serum and cerebrospinal fluid by UHPLC-HRMS technique by Qingkun Ma, Mei Zhang, Yongshuai Fan, Han Zhao, Kun Wang, Xiaojing Wang, Yanling Mu

“…Furthermore, a novel PCNSL monitoring model was developed based on different those combined with machine learning algorithm. Thiols has good linear relationship with correlation coefficients ≥ 0.9995 and suitable precision with inter-day and intra-day coefficients variation was 2.08–5.49% and 1.58–5.53%. …”
Get full text

Multicenter Development and Prospective Validation of eCARTv5: A Gradient-Boosted Machine-Learning Early Warning Score by Matthew M. Churpek, MD, MPH, PhD, ATSF, Kyle A. Carey, MPH, Ashley Snyder, MPH, Christopher J Winslow, MD, Emily Gilbert, MD, Nirav S Shah, MD, MPH, Brian W. Patterson, MD, MPH, Majid Afshar, MD, MSCR, Alan Weiss, MD, MBA, Devendra N. Amin, MD, Deborah J. Rhodes, MD, Dana P. Edelson, MD, MS

“…BACKGROUND:. Early detection of clinical deterioration using machine-learning early warning scores may improve outcomes. …”
Get full text

Assessment of horizontally oriented ice crystals with a combination of multiangle polarization lidar and cloud Doppler radar by Z. Wu, Z. Wu, P. Seifert, Y. He, Y. He, Y. He, H. Baars, H. Li, H. Li, C. Jimenez, C. Li, A. Ansmann

“…This study introduces an automatic range-resolved algorithm for HOIC identification using a combination of ground-based zenith-pointing and 15° off-zenith-pointing polarization lidars. …”
Get full text