Historical traces in Southern Grevena during Ottoman occupation by Vasileios D. Spanos

“…Regarding the content of each settlement, the time of its creation (or the first reference to the sources) and dissolution (if it does not exist today) of the settlements, the presentation of population data and data on ownership status, information on the economic and social life (functioning of schools, notable events, monuments of a mainly ecclesiastical nature) and anything else deemed worthy of mention were taken into account. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. …”
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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

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Sigma Delta Modulation Controller and Associated Cybersecurity Issues with Battery Energy Storage Integrated with PV-Based Microgrid by Syeda Afra Saiara, Mohd. Hasan Ali

“…Battery energy storage systems (BESSs) play a crucial role in integrating renewable energy sources into microgrids. However, robust BESS controllers are needed to carry out this function properly. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. Validation of the method was done with the International Council for Harmonization, ICH Q2(R2) Guidelines. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

“…Thus, according to literature sources, the frequency of pathology in patients under 20 years of age reaches 10% in the population and less than 2% in children under 10 years of age. …”
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Distinct requirements for cranial ectoderm and mesenchyme-derived wnts in specification and differentiation of osteoblast and dermal progenitors. by L Henry Goodnough, Gregg J Dinuoscio, James W Ferguson, Trevor Williams, Richard A Lang, Radhika P Atit

“…Thus two sources of Wnt ligands perform distinct functions during osteoblast and dermal fibroblast formation.…”
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Near-infrared spectroscopy of the cerebellum in motor activation tasks by Yew Long Lo, Gerald Teck Heng Chia, Yan Teng Celeste Chen, Eng King Tan

“…Protocol 1 consisted of 5 optodes (4 sources and 1 detector, 4 recording channels) spaced 3 cm apart and comprising single-tipped LED light sources in conjunction with single-tipped fiber-optic detectors. …”
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New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…However, due to Kepler’s large 4″ pixels, many of its light curves are at high risk of contamination from background sources. The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

“…To navigate a plume and, for example, find food, they must solve several challenges, including reliably identifying mixtures of odorants and their intensities, and discriminating odorant mixtures emanating from a single source from odorants emitted from separate sources and just mixing in the air. …”
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Bioactive matters based on natural product for cardiovascular diseases by Linfang Zhong, Xiaoying Tan, Wenhui Yang, Peishan Li, Lianbao Ye, Qi Luo, Honghao Hou

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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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Genetic diversity in wild species and cultivars of strawberry for the <i>FanAAMT</i> gene controlling fruit flavor volatiles by A. S. Lyzhin, I. V. Luk’yanchuk

“…‘Karmen’, ‘Ostara’, ‘Samson’, ‘Symphony’, ‘Troubadour’ and ‘Vima Tarda’, in which the functional allele of the FanAAMT gene was found. In the remaining studied strawberry genotypes the marker FanAAMT was not detected, which presumably indicates that the FanAAMT gene is absent. cells (R9.4.1).…”
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Heterogeneously integrated light emitting diodes and photodetectors in the metal-insulator-metal waveguide platform by Kwon Kyungmok, Park Junghoon, You Jong-Bum, Yu Kyoungsik

“…We experimentally verify the independent and combined operations of electrically-driven on-chip light sources and photodetectors.…”
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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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