Convergent trends and spatiotemporal patterns of Aedes-borne arboviruses in Mexico and Central America. by Bernardo Gutierrez, Darlan da Silva Candido, Sumali Bajaj, Abril Paulina Rodriguez Maldonado, Fabiola Garces Ayala, María de la Luz Torre Rodriguez, Adnan Araiza Rodriguez, Claudia Wong Arámbula, Ernesto Ramírez González, Irma López Martínez, José Alberto Díaz-Quiñónez, Mauricio Vázquez Pichardo, Sarah C Hill, Julien Thézé, Nuno R Faria, Oliver G Pybus, Lorena Preciado-Llanes, Arturo Reyes-Sandoval, Moritz U G Kraemer, Marina Escalera-Zamudio

“…For CHIKV, at least thirteen introductions were inferred over a year, with six of these leading to persistent transmission chains. …”
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The study of dermatoglyphic pattern of thumb and its correlation with academic performance of medical students by Preeti Prabhakarrao Thute, Sagar V. Padole, Bhaurao Champatrao Bakane, Darshna Gulabrao Fulmali, Anupama Navneet Sawal, Aastha Bhaurao Bakane

“… Background: Dermatoglyphics is the study of fingerprint pattern which is unique for every individual and remains unchanged after birth. …”
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Evolving Patterns in Inpatient Pediatric Consultations to Allergy/Immunology at an Academic Medical Center by Madeline Wurst, Anna Brameli, Matthew Krantz, R. Stokes Peebles, Jr., Yasmin Khan, Cosby A. Stone, Jr.

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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

“…Convolutional neural networks can harness limited time‐series data to predict near‐future deforestation patterns, an important step in harnessing the growing volume of satellite remote sensing data to curb global deforestation. …”
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Floral Assemblages and Patterns of Insect Herbivory during the Permian to Triassic of Northeastern Italy. by Conrad C Labandeira, Evelyn Kustatscher, Torsten Wappler

“…Derived plant-insect interactional data is based on 4242 plant specimens (1995 Permian, 2247 Triassic) allocated to 86 fossil taxa (32 Permian, 56 Triassic), representing lycophytes, sphenophytes, pteridophytes, pteridosperms, ginkgophytes, cycadophytes and coniferophytes from 37 million-year interval (23 m.yr. Permian, 14 m.yr. Triassic). …”
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Individual patterns of anadromy determine the cost of salmon lice exposure in brown trout by K. L. Hawley, H. A. Urke, T. Kristensen, T. O. Haugen

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Bacterial Infection among Cancer Patients: Analysis of Isolates and Antibiotic Sensitivity Pattern by Sevitha Bhat, Shruthi Muthunatarajan, Shalini Shenoy Mulki, K. Archana Bhat, K. Himani Kotian

“…Out of 638 cancer patients diagnosed with infections in the 2-year period, 140 patients had positive cultures, representing 272 specimens and 306 isolates. …”
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Exploring patterns in pediatric type 1 diabetes care and the impact of socioeconomic status by Christopher Nussbaum, Anna Novelli, Amelie Flothow, Leonie Sundmacher

“…From the dataset, which encompassed more than three million patients under the age of 25 years, we derived an age-homogeneous cohort of continuously insured children aged 11 to 14 years with type 1 diabetes in 2017 and extracted relevant healthcare events over a 3-year period. …”
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa by Tianen Yao, Xinyu Yang, Huaixiao Ye, Yida Wang, Xiaoyi Yu, Yuxin Huang, Ming Xu

“…Methods Value of Statistical Life Year (VSL) and machine learning are proposed to jointly assess the weather-induced economic burden of malaria in SSA from 2000 to 2022. …”
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Aslanger Pattern: An unusual electrocardiogram in Acute pulmonary Embolism by Abdi IA, Abdi AE, Hassan MO, Ahmed SA, Waberi MM, Aden AS, Dahir OF, Mohamud MA, Ali II, Jama SMA, Dirie AMH, Arın CB

“…Although this pattern is usually linked to myocardial infarction with significant coronary stenosis, we report a rare case where the Aslanger pattern was observed in a patient with acute pulmonary embolism.Case Presentation: A 52-year-old male with Parkinson’s disease presented with sudden chest pain, shortness of breath, sweating, and fatigue. …”
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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Results. Broad sharp wave pattern (BSW) was detected in 31 (12.7%) patient's routine EEG of 244 collected during the calendar year. …”
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Age-Specific Impact of Cribriform Pattern in Prostate Cancer Following Radical Prostatectomy by Ari S Hilibrand, Yetkin Tuac, Okan Argun, Christina M. Breneman, Michelle Oh, Shalini Moningi, Jonathan E Leeman, Mutlay Sayan

“…An interaction term between age (dichotomized at 60 years to facilitate clinical interpretation and applicability, approximating the cohort median age of 61 years [interquartile range = 56-66]) and CP4 status was included in the analysis. …”
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Pathogen community composition and co-infection patterns in a wild community of rodents by Abbate, Jessica L., Galan, Maxime, Razzauti, Maria, Sironen, Tarja, Voutilainen, Liina, Henttonen, Heikki, Gasqui, Patrick, Cosson, Jean-François, Charbonnel, Nathalie

“…Multiple correspondence (MCA), multiple regression and association screening (SCN) analyses were used to determine the degree to which extrinsic factors (study year and site; host habitat, species, sex and age class) contributed to pathogen community structure, and to identify patterns of associations between pathogens within hosts. …”
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Patterns of substance use and associations with mental health and interpersonal violence among adolescents by Shannon N. Ogden, Catherine Cortez, Stacy A. Sterling, Stacey E. Alexeeff, Natalie E. Slama, Cynthia I. Campbell, Derek D. Satre, Asma H. Asyyed, Monique B. Does, Andrea Altschuler, Yun Lu, Kelly C. Young-Wolff

“…We conducted latent class analysis to identify patterns of substance use from four substance use behaviors (past-year alcohol, cannabis, other substance, and close friends’ use). …”
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Patterns of beverage purchases amongst British households: A latent class analysis. by Nicolas Berger, Steven Cummins, Alexander Allen, Richard D Smith, Laura Cornelsen

“…<h4>Methods and findings</h4>We used cross-sectional latent class analysis to characterise patterns of beverage purchases. We used data from the 2016 GB Kantar Fast-Moving Consumer Goods (FMCG) panel, a large representative household purchase panel of food and beverages brought home, and restricted our analyses to consumers who purchase beverages regularly (i.e., >52 l per household member annually) (n = 8,675). …”
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Directly observed social contact patterns among school children in rural Gambia by Isaac Osei, Emmanuel Mendy, Kevin van Zandvoort, Olimatou Jobe, Golam Sarwar, Baleng Mahama Wutor, Stefan Flasche, Nuredin I. Mohammed, Jane Bruce, Brian Greenwood, Grant A. Mackenzie

“…Those aged 5–9 years had the highest mean number of contacts [19.0 (95 %CI: 16.7–21.3)] while the ≥ 15-year age group had fewer contacts [12.8 (95 %CI: 10.9–14.7)]. …”
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Epidemiological and Clinical Characteristics of Human Metapneumovirus-Associated Acute Respiratory Tract Infection Cases in the Pudong New Area, Shanghai, from 2014 to 2023 by Yanhong Ding, Li Zhang, Xiao Wang, Rongxin Wu, Anran Zhang, Bing Zhao, Chuchu Ye

“…Among the < 6 months old, 1–2 years old, 3–5 years old, 6–14 years old, 15–64 years old, and ≥ 65 years old groups, the positivity rates were 1.92% (6/313), 2.92% (23/788), 2.21% (33/1494), 1.08% (25/2311), 1.46% (94/6443) and 2.21% (65/2935), respectively. …”
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Dermoscopic Patterns of Facial Melanoses in Adult Patients: A Cross-sectional Study by Manjari Annapurna Malladi, Rameez Raja Mullan Abdul, Divya Sri Vaka, Abhilash Bhavani Satya Venkata Subrahmanya Pampana, Susmitha Kattamsetty

“…The study included both sexes aged over 18 years with clinical evidence of facial pigmentation. …”
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The making of the South African timeshare industry: spatial structure and development challenges by Pandy Wayde R., Rogerson Christian M.

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Gender-Specific Dietary Patterns of Energy Drink Consumption among Adolescents from Southern Poland by Ewa Błaszczyk-Bębenek, Małgorzata Schlegel-Zawadzka, Paweł Jagielski, Jaśmina Żwirska, Paweł Kawalec

“…A cross-sectional survey including 518 participants (girls, 51%; boys, 49%; mean age, 17.15 ± 0.60 years) was conducted in the years 2014–2015. Using a cluster analysis, k-means were grouped separately for boys and girls by applying the Manhattan distance between two vectors (city blocks). …”
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