Real-life utilization of sentinel lymph node mapping in endometrial cancer: Patterns of practice in unmapped patients and effect on treatment and outcomes by Danielle Glassman, Raadhika Kher, Cande V. Ananth, Eugenia Girda

“…Objectives: To examine the real-life utilization of sentinel lymph node mapping for surgical staging of patients with endometrial cancer. We evaluated patterns of surgical staging in unmapped patients and studied how this practice affected adjuvant therapies and survival. …”
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Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set by Nithya R, Vidhyapathi C.M

“…Abstract Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. …”
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Prevalence and patterns of subnormal visual acuity and refractive errors among preschool children in Sucheng district: a cross-sectional study by Lei Shen, Yuqing Cui, Nana Zhao, Fan Yang, Qian Zhou, Xue Wang, Shuyan Qin

“…Abstract Objective To investigate the visual acuity and refractive status of preschool children in the Sucheng District of Suqian city and analyze the incidence and distribution patterns of visual and refractive abnormalities in this district Methods This cross-sectional study was conducted from April to June 2024 and involved 27,062 children from 61 kindergartens in the district. …”
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A Two-Level Rule-Mining Approach to Classify Breast Cancer Patterns Using Adaptive Directed Mutation and Genetic Algorithm by Hui-Ching Wu, Ming-Hseng Tseng

“…The classification technique introduced in this study facilitates the discovery of breast cancer patterns by integrating a real-coded genetic algorithm, an adaptive directed mutation operator, and a two-level malignant-rule-mining process. …”
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Design of multipass cell with dense spot patterns and its performance in a light-induced thermoelastic spectroscopy-based methane sensor by Yufei Ma, Yahui Liu, Ying He, Shunda Qiao, Haiyue Sun

“…In this study, a ray tracing model based on the law of reflection in vector form was developed to obtain the design parameters of multipass cells (MPC) with dense spot patterns. Four MPCs with distinct patterns were obtained using an established mathematical model. …”
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A New Interval-Valued Fuzzy Set Knowledge and Accuracy Measure with Applications in Multi-Criteria Decision-Making and Recognizing Patterns by Dinesh Kansal, Satish Kumar

“…The recommended accuracy measure is applied to pattern detection challenges. A revised version of the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method, utilizing the proposed accuracy measure, is introduced to address Multi-Criteria Decision-Making (MCDM) challenges within a interval fuzzy context. …”
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Respiration Signal Pattern Analysis for Doppler Radar Sensor with Passive Node and Its Application in Occupancy Sensing of a Stationary Subject by Chenyan Song, Ehsan Yavari, Xiaomeng Gao, Victor M. Lubecke, Olga Boric-Lubecke

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Spatial patterns, factor identification, and ethnic differences: a study of traditional villages in the Yuan River Basin based on geographical detectors by Chuanbiao Ding, Yongqi Zhao

“…These factors had different effects on different ethnic traditional villages, exacerbating the spatial agglomeration of each village. (3) Cross-detection revealed that the spatial distribution pattern of the YRB’s traditional villages emerged through three phases: layout, evolution in distribution, and retention patterns, shaped by natural, economic, and social factors. …”
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Spatio-temporal expansion patterns and influencing factors in China's new local retail industry: A case study of Luckin Coffee. by FengXun Qi, WeiShan Qin, Xiaohan Li

“…Based on point of interest (POI) data of China's Luckin stores (2018-2023), this study constructs a geographical indicator system and employs spatial analysis and factor detection methods to study the evolution of Luckin Coffee's resource agglomeration patterns and its formation mechanism. …”
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Passive acoustic monitoring reveals seasonal patterns in European green toad calling activity but fails to accurately reflect population abundance by Mikołaj Kaczmarski, Jan M. Kaczmarek, Agata Radzińska, Michał Budka

“…Our algorithm generated a calling intensity index, which detected 36% of calls with 96% precision. The calling intensity index showed a significant correlation with the number of calls detected manually (r = 0.727). …”
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Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial by Carmen Peuters, Ann DeSmet, Laura Maenhout, Greet Cardon, Dries Debeer, Geert Crombez

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A Retrospective Study of Pattern of Abnormal Findings in Routine Screening Investigations Done of Psychiatry Inpatients in Tertiary Care Teaching Hospital by Disha R Patel, Nimisha D Desai, Sandip H Shah

“…Hence, regular screening investigations in psychiatry inpatients help to detect physical illness at early stage. Aims and Objectives: The aim of this study was to evaluate the results of various screening investigations, referral patterns, and physical comorbidities in psychiatric inpatient records. …”
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Snow Distribution Patterns Revisited: A Physics‐Based and Machine Learning Hybrid Approach to Snow Distribution Mapping in the Sub‐Arctic by R. L. Crumley, C. L. Bachand, K. E. Bennett

“…Abstract Snowpack distribution in Arctic and alpine landscapes often occurs in repeating, year‐to‐year patterns due to local topographic, weather, and vegetation characteristics. …”
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Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina). by Mark P Miller, Raymond J Davis, Eric D Forsman, Thomas D Mullins, Susan M Haig

“…This cluster could not be linked to landscape connectivity patterns and suggested that post-Pleistocene processes were involved with its development rather than contemporary landscape configuration. …”
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Epidemiology and transmission patterns of Cryptosporidium spp., and Giardia duodenalis within a One Health framework in rural areas of Eastern Algeria by Sadiya Maxamhud, Nassiba Reghaissia, AbdElKarim Laatamna, Eleni Gentekaki, Anastasios D. Tsaousis

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Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem by Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

“…In this study, we modeled the suitable habitat and potential distribution of the notorious invader Lantana camara in the Akagera National Park (1,122 km²), a savannah ecosystem in Rwanda. Spatiotemporal patterns of Lantana camara from 2015 to 2023 were predicted at a 30-m spatial resolution using a presence-only species distribution model, implementing a Random Forest classification algorithm and set up in the Google Earth Engine. …”
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Monitoring multiyear cropping patterns in the arid regions of northwestern China from 2005 to 2022 using Landsat time-series data by Yongquan Lu, Guilin Liu, Xiuyuan Zhang, Jingwen Wang, Weijia Chen, Yuecheng Li, Desheng Jiang

“…Here, we propose a new method (CCDC-LT), which couples two change detection algorithms, i.e. CCDC and LandTrendr, for time-series Landsat images and finally mapped the results to the parcel and plot scales to generate multiyear planting patterns. …”
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Patterns of Different Cervical Cytokine Expression in High-Risk Human Papillomavirus–Infected Patients With Cervical Cancer and Its Precancerous Lesions by Shamoli Saha, Sharmin Sultana, Raad Rahmat, Tahmina Akther, Ashrafun Nessa, Munira Jahan

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Genomic insights into Duchene muscular dystrophy: Analysis of 1250 patients reveals 30% novel genetic patterns and 6 novel variants by Khalda Amr, Nagia Fahmy, Ghada El-Kamah

“…In addition, 163 different deletion and duplication patterns were characterized among positive MLPA analyses. 30% of our studied cohort exhibited new patterns of rearragements in addition to seven cases of double deletion and duplication rearrangements identified, within nine patients. …”
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Rhinocerebral Mucormycosis in Patients with Diabetes Mellitus After a New Coronavirus Infection (COVID-19): СT and MRI Patterns Data by I. S. Gabdulganieva, N. R. Munirova, A. R. Zaripova, V. I. Anisimov

“…The accumulated experience in identifying the combination of CT and MRI signs and patterns of RCM combined with clinical and anamnestic data allows to increase the alertness of clinicians and radiologists for earlier diagnosis and selection of the optimal volume of surgical intervention.…”
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