“…The model describes individuals' contact networks stratified into household, school, workplace, and community layers, and uses demographic and epidemiological data from the UK. …”
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“…METHODS: We developed an automated deep learning algorithm using cascaded convolutional neural networks to detect OCSCC from photographic images. …”
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“…This suggests that powerful antioxidant networks must be in place to detoxify mitochondrial reactive oxygen species (ROS) and maintain stemness in oxidative CSCs. …”
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“…Most prediction models used LR (92/142, 64.8%) and artificial neural networks (20/142, 14.1%) among non-LR algorithms. Only 16.9% (24/142) of studies had a low ROB. …”
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“…Most participants were non-Hispanic White, aged between 15 and 24 years, living in urban areas in the southern United States, and recruited from general social networking websites. The plurality (4230/10,129, 41.76%) of participants was in the youngest age group, 15-24 years, followed by the 40 years and older age group (3088/10,129, 30.49%). …”
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“…And where national or multi-national monitoring networks have gathered large amounts of data, the poor water body classifications have not necessarily resulted in the rehabilitation of rivers. …”
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“…METHODS: We conducted an observational, cross-sectional study using online surveys in multiple languages (English, Danish, French, German, Italian, Portuguese, Slovakian, Swedish, and Japanese) distributed across social media platforms and through authors’ professional and personal networks. Adults (n = 5389; median age = 31 years [interquartile range (IQR) = 25, 38]), previously engaged in RT prior to lockdown (median prior RT experience = 7 years [IQR = 4, 12]) participated. …”
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“…Subgroup diabetes classification was performed using the self-normalizing neural networks algorithm using clinical parameters (HbA1c, time since diabetes diagnosis, HOMA2-IR, HOMA2-B, and BMI) proposed by Bello-Chavolla et al (https://bit.ly/3jSm1xv). …”
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“…Hydrogen bonding plays a key role in the structure of most com­pounds and a short strong hydrogen bond (SSHB) is observed in two of the networks. The com­pounds of 4-hy­droxy­benzoic acid, C(7)H(6)O(3), described here are: poly[di-μ-aqua-μ-4-oxidobenzoato-dilithium], [Li(2)(C(7)H(4)O(3))(H(2)O)(2)]( n ), 1, poly[tri­aqua-μ-4-oxidobenzoato-dilithium], [Li(2)(C(7)H(4)O(3))(H(2)O)(3)]( n ), 2, poly[μ-4-hy­droxy­benzoato-lithium], [Li(C(7)H(5)O(3))]( n ), 3, catena-poly[4-hy­droxy­benzoate [[di­aqua­sodium]-di-μ-aqua]], {[Na(H(2)O)(4)](C(7)H(5)O(3))}( n ), 4, poly[di-μ-aqua-aqua-μ-4-hy­droxy­benzoato-potassium], [K(C(7)H(5)O(3))(H(2)O)(3)]( n ), 5, poly[μ-aqua-μ-4-hy­droxy­benzoato-potassium], [K(C(7)H(5)O(3))(H(2)O)]( n ), 6, poly[aqua-μ-4-hy­droxy­benzoato-rubidium], [Rb(C(7)H(5)O(3))(H(2)O)]( n ), 7, poly[aqua-μ-4-hy­droxy­benzoato-caesium], [Cs(C(7)H(5)O(3))(H(2)O)]( n ), 8, poly[[μ-aqua-aqua­(μ-4-hy­droxy­benzoato)(4-hy­droxy­benzoic acid)sodium] monohydrate], {[Na(C(7)H(5)O(3))(C(7)H(6)O(3))(H(2)O)(2)]·H(2)O}( n ), 9, poly[[(μ-4-hy­droxy­benzoato)(μ-4-hy­droxy­benzoic acid)rubidium] monohydrate], {[K(C(7)H(5)O(3))(C(7)H(6)O(3))]·H(2)O}( n ), 10, and poly[[(μ-4-hy­droxy­benzoato)(μ-4-hy­droxy­benzoic acid)rubidium] monohydrate], {[Rb(C(7)H(5)O(3))(C(7)H(6)O(3))]·H(2)O}( n ), 11.…”
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“…The voluntary and anonymous questionnaire was disseminated through social media, professional networks, charity websites and by individuals between October 2019 and December 2020. …”
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“…METHODS: SYG uses continuous video monitoring, artificial intelligence, secure networks, and customized computer applications to detect and notify caregivers about falls in real time while providing immediate access to video footage of falls. …”
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“…Participants were recruited through local primary care networks in the West Midlands, UK. Blood samples and dried blood spots were taken 5–6 weeks after vaccination to assess adaptive immune responses using Elecsys electrochemiluminescence immunoassay and cellular responses by ELISpot. …”
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“…We hypothesized that a community-centered vaccination strategy that included mobilization, vaccination, and “activation” components could successfully reach an underserved Latinx population, utilizing its social networks to boost vaccination coverage. METHODS: Our community-academic-public health partnership, “Unidos en Salud,” utilized a theory-informed approach to design our “Motivate, Vaccinate, and Activate” COVID-19 vaccination strategy. …”
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“…Subsequently, CRL-1424 and CRL-1675 cells were exposed to intermittent hypoxia (IH) and normoxia, and exosomal miRNAs were identified followed by GO and KEG pathways and gene networks. The exosomes from these IH-exposed melanoma cells were also administered to THP1 macrophages to examine changes in M1 and M2 polarity markers. …”
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“…More comprehensive community networks and resources, enhanced pain control, and personalized care planning discussions, are recommended to better meet patients’ preferences for their final place of care. …”
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“…Prior to the IVE, students reported their top reasons for participation: promote self in preparation for interview season (5, 23%), receive an introduction to the field of RO (4, 18%), interact with faculty/residents at MDACC (3, 14%), networking (3, 14%), initiate research collaborations (3, 14%), self-exposure in RO (2, 9%), explore research opportunities (1, 5%), explore learning opportunities (1, 5%). …”
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“…app features: multimedia education modules focused on CVH with self-assessments of CVH knowledge, self-monitoring of daily fruit and vegetable intake and PA, and a sharing board for social networking. Changes in self-reported diet and PA-related self-regulation, social support, perceived barriers, and CVH behaviors were assessed by electronic surveys collected at baseline and 28 weeks postintervention. …”
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“…The key prognostic genes were further analyzed by the intersection of protein–protein interaction (PPI) networks and univariate Cox regression analysis. Finally, a risk score model was constructed using multivariate Cox regression analysis. …”
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“…Global, regional, and/or local data collection platforms and disease registry networks could play an important role in helping to address current data gaps. …”
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“…The purpose of this study was to thoroughly investigate to what extent biases have influenced the performance of a range of previously proposed and promising convolutional neural networks (CNNs), and to determine what performance can be expected with current CNNs on a realistic and unbiased dataset. …”
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