Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach by Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer

“…The proposed methodology involves applying morphological opening and contour detection to improve frame quality, utilizing geometrical augmentation for dataset balance, introducing a graph-based approach for frame sequencing, and implementing a hybrid 3D model combining time-distributed CNN and LSTM networks utilizing vast ablation study. …”
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Boosting Aeroponic System Development with Plasma and High-Efficiency Tools: AI and IoT—A Review by Waqar Ahmed Qureshi, Jianmin Gao, Osama Elsherbiny, Abdallah Harold Mosha, Mazhar Hussain Tunio, Junaid Ahmed Qureshi

“…Sustainable agriculture faces major issues with resource efficiency, nutrient distribution, and plant health. Traditional soil-based and soilless farming systems encounter issues including excessive water use, insufficient nutrient uptake, nitrogen deficiency, and restricted plant development. …”
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Brain tau PET-based identification and characterization of subpopulations in patients with Alzheimer’s disease using deep learning-derived saliency maps by Yanxiao Li, Xiuying Wang, Qi Ge, Manuel B Graeber, Shaozhen Yan, Jian Li, Shuyu Li, Wenjian Gu, Shuo Hu, Tammie L. S. Benzinger, Jie Lu, Yun Zhou

“…A three dimensional-convolutional neural network model was employed for AD detection using standardized uptake value ratio (SUVR) images. …”
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NEW IDEAS TO ULTRASOUND DIAGNOSTICS OF EMBOLOGENIC VENOUS THROMBOSIS by I. M. Goldina

“…The development of new ideas to the ultrasound diagnostics of embologenic venous thrombosis on base of the collection of anatomical and structural functional ultrasound criteria of embologenic venous thrombus is discussed.The investigations of 780 patients (800 lower limbs) were included in the current work. …”
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Thermally radiative water-based hybrid nanofluid with nanoparticles and gyrotactic microorganisms past a stretching surface with convective conditions and porous media by Humaira Yasmin, Rawan Bossly, Fuad S. Alduais, Afrah Al-Bossly, Anwar Saeed

“…From the results obtained, we observed that greater magnetic fields and porous media decreased both primary and secondary velocities. It is detected that the greater ratio factor has a direct relation with the secondary velocity distribution while it has an indirect relation with the primary velocity distribution. …”
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Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing by Zihan Li, Ping Wang, Yamin Shen, Song Li

“…In order to overcome the challenges in the distributed resource allocation of sidelink JCS with a full-duplex, this paper has proposed a novel consecutive-collision mitigation semi-persistent scheduling (CCM-SPS) scheme, including the collision detection and Q-learning training stages to suppress collision probabilities. …”
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Revisiting the Middle Molecule Hypothesis of Uremic Toxicity: A Systematic Review of Beta 2 Microglobulin Population Kinetics and Large Scale Modeling of Hemodialysis Trials In Sil... by Maria Eleni Roumelioti, Thomas Nolin, Mark L Unruh, Christos Argyropoulos

“…A quantitative description of the relative importance of factors determining β2M concentrations among patients with impaired kidney function is currently lacking.<h4>Methods</h4>Herein we undertook a systematic review of existing studies reporting patient level data concerning generation, elimination and distribution of β2M in order to develop a population model of β2M kinetics. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Our proposed CNN model consists of an architecture with four convolutional layers, with 224 × 224 RGB images as input to the first layer, which has 16 filters, followed by additional convolutional layers with 32, 64, and 128 filters respectively. Activation functions of ReLU combined with max-pooling were used at each convolutional layer, and Softmax activation was applied in the last layer of the neural network to convert the output into a probability distribution.Results and DiscussionThree confusion matrices based on the test dataset were constructed for all the CNN models to compare and evaluate the performance of the classifiers. …”
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A Comparative Morphological Study of the Ultrastructure of Antennal Sensilla in <i>Sclerodermus guani</i> (Hymenoptera: Bethylidae) by Youcheng Chen, Chunxia Wang, Xiuju Yu, Bo Wang, Zhudong Liu

“…More than 70% of the antennal sensilla in both sexes were olfactory in nature, highlighting their predominant role in chemical detection. The observed sexual dimorphism in the morphology and distribution of olfactory sensilla suggests functional specialization, potentially linked to host localization in females and mate location in males.…”
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Reward shaping based reinforcement learning for intelligent missile penetration attack strategy planning by LUO Junren, LIU Guo, SU Jiongming, ZHANG Wanpeng, CHEN Jing

“…Facing the future requirements of distributed warfare at sea, the strategic planning of missile penetration is firstly analyzed based on the background of intelligent missile salvo penetration against surface ships in distributed warfare scenario. …”
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Multispectral UAV Image Classification of Jimson Weed (<i>Datura stramonium</i> L.) in Common Bean (<i>Phaseolus vulgaris</i> L.) by Marlies Lauwers, Benny De Cauwer, David Nuyttens, Wouter H. Maes, Jan G. Pieters

“…Therefore four objectives were defined: (I) assessing the spectral discriminative capacity between common bean and <i>D. stramonium</i> by the development and application of logistic regression models; (II) examining the influence of ground sampling distance (GSD) on model performance; and improving model generalization by (III) incorporating the use of vegetation indices and cumulative distribution function (CDF) matching and by (IV) combining spectral data from multiple common bean fields with the use of leave-one-group-out cross-validation (LOGO CV). …”
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Tailoring Atomic Ordering Uniformity Enables Selectively Leached Nanoporous Pd‐Ni‐P Metallic Glass for Enhanced Glucose Sensing by Yu Lou, Jian Li, Zhongzheng Yao, Zhenduo Wu, Huiqiang Ying, Lan Tan, Sinan Liu, Jianrong Zeng, Ruohan Yu, Hong Liu, Xun‐Li Wang, He Zhu, Si Lan

“…During electrochemical cycling, synchrotron X‐ray pair distribution function and X‐ray absorption fine structure analyses reveal that the distance between active sites decreases, enhancing electron transport efficiency, while the medium‐range ordered structure of the Pd‐Ni‐P MG remains stable, contributing to its exceptional glucose sensing capabilities. …”
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Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision by Wanna Fu, Zhen Chen, Qian Cheng, Yafeng Li, Weiguang Zhai, Fan Ding, Xiaohui Kuang, Deshan Chen, Fuyi Duan

“…LAI standardization was performed through edge detection and the cumulative distribution function. …”
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Probing the He ii Reionization ERA via Absorbing C iv Historical Yield (HIERACHY). III. The C iv Absorber Catalog and Initial Results on Cosmic Abundance Evolution at z ≈ 3–5 by Xiaodi Yu, Zhijie Qu, Zheng Cai, Jiang-Tao Li, Huiyang Mao, Xin Wang

“…Using 557 (1090) intervening absorption systems (components), we found the column density distribution function of C iv absorption systems with log( N _C _iv /cm ^−2 ) ≳ 12.3 has a broken power-law shape, with the turnover column density log $({N}_{\mathrm{crit}}/{\mathrm{cm}}^{-2})=13.3{5}_{-0.19}^{+0.20}$ , which is close to or smaller than the detection limit of most literature samples. …”
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Single Nucleotide Polymorphisms in Pediatric Idiopathic Nephrotic Syndrome by Maija Suvanto, Timo Jahnukainen, Marjo Kestilä, Hannu Jalanko

“…Polymorphic variants in several molecules involved in the glomerular function and drug metabolism have been implicated in the pathophysiology of pediatric idiopathic nephrotic syndrome (INS), but the results remain inconsistent. …”
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Time-Frequency Domain Analysis of Quantitative Electroencephalography as a Biomarker for Dementia by Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

“…This identifies brain functional impairment measurements as promising early indicators for AD detection. …”
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Comparative analysis of galectin-1, galectin-3, and galectin-8 signatures in normal and choriocarcinoma trophoblast cell lines by Jovanović Krivokuća Milica, Legner Janko, Ćujić Danica, Vilotić Aleksandra, Grubiša Ivana, Vićovac Ljiljana, Bojić-Trbojević Žanka

“…Specifically, galectins -1, -3, and -8 have been identified in extravillous trophoblast cells, with galectins -1, and -3 playing notable roles in trophoblast cell function. Altered expression profiles of galectins are linked to various cancers. …”
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Understanding personality pathology in a clinical sample of youth: study protocol for the longitudinal research project ‘APOLO’ by Nagila Koster, Igor Lusin, Paul T van der Heijden, Odilia M Laceulle, Marcel A G van Aken

“…Such a perspective can help understand pathways to personality pathology and contribute to its early detection. The research project ‘APOLO’ (a Dutch language acronym for Adolescents and their Personality Development: a Longitudinal Study) is designed based on McAdams’ integrative three-layered model of personality development and assesses the interaction between dispositional traits, characteristic adaptations, the narrative identity and functioning.Methods and analysis APOLO is a longitudinal research project that takes place in two outpatient mental healthcare centres. …”
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Mature tertiary lymphoid structure associated CD103+ CD8+ Trm cells determined improved anti-tumor immune in breast cancer by Qin Fang, Shuru Chen, Xiaoyue Chen, Wei Zou, Di Chen, Yukang Huang, Chucheng Wu

“…The current study aimed to explore the relationship between the maturity of tertiary lymphoid structures and their key immune cells in combating breast cancer.Patients and methodsIn this study, we utilized immunofluorescence and H&amp;E staining to detect tumor-resident memory T cells (Trm) and assess the maturity of TLS, analyzing their distribution and proportion in an annotated cohort of 95 breast cancer patients.ResultsThe presence of tumor-associated TLSs was correlated with an improved prognosis in patients with breast cancer. …”
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Sugar transporter gene family: structure, evolution, and expression analysis in Beta vulgaris by Parviz Heidari, Mostafa Ahmadizadeh, Mohammadamin Hosseinzadeh

“…Sugar transporters are key mediators of the distribution of photosynthesis products in plant organs and play a key role in maintaining the sugar balance in cells. …”
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