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1. Social networks and health
: models, methods, and applications
by Valente, Thomas W
2010, ISBN 0195301013, xiv, 277
Relationships and the pattern of relationships have a large and varied influence on both individual and group action. The fundamental distinction of social... 
Social networks | Medicine: General Issues | medical statistics and methodology | Health aspects | Health behavior | Public Health | Social Networks | Network Applications | Behavior Change | Health Behavior | Mathematical Models
Book
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2. Evaluating health promotion programs
by Valente, Thomas W
2002, ISBN 0195141768, xviii, 305
Evaluation | Health promotion | Communication in medicine
Book
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3. Network models of the diffusion of innovations
by Valente, Thomas W
1995, Quantitative methods in communication, ISBN 1881303225, xiii, 171
Network analysis (Planning) | Diffusion of innovations
Book
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4. Full Text Guidelines for the use and interpretation of assays for monitoring autophagy
by Klionsky, Daniel J and Abdalla, Fabio C and Abeliovich, Hagai and Abraham, Robert T and Acevedo-Arozena, Abraham and Adeli, Khosrow and Agholme, Lotta and Agnello, Maria and Agostinis, Patrizia and Aguirre-Ghiso, Julio A and Ahn, Hyung Jun and Ait-Mohamed, Ouardia and Ait-Si-Ali, Slimane and Akematsu, Takahiko and Akira, Shizuo and Al-Younes, Hesham M and Al-Zeer, Munir A and Albert, Matthew L and Albin, Roger L and Alegre-Abarrategui, Javier and Aleo, Maria Francesca and Alirezaei, Mehrdad and Almasan, Alexandru and Almonte-Becerril, Maylin and Amano, Atsuo and Amaravadi, Ravi K and Amarnath, Shoba and Amer, Amal O and Andrieu-Abadie, Nathalie and Anantharam, Vellareddy and Ann, David K and Anoopkumar-Dukie, Shailendra and Aoki, Hiroshi and Apostolova, Nadezda and Arancia, Giuseppe and Aris, John P and Asanuma, Katsuhiko and Asare, Nana Y.O and Ashida, Hisashi and Askanas, Valerie and Askew, David S and Auberger, Patrick and Baba, Misuzu and Backues, Steven K and Baehrecke, Eric H and Bahr, Ben A and Bai, Xue-Yuan and Bailly, Yannick and Baiocchi, Robert and Baldini, Giulia and Balduini, Walter and Ballabio, Andrea and Bamber, Bruce A and Bampton, Edward T.W and Juhász, Gábor and Bartholomew, Clinton R and Bassham, Diane C and Bast, Robert C and Batoko, Henri and Bay, Boon-Huat and Beau, Isabelle and Béchet, Daniel M and Begley, Thomas J and Behl, Christian and Behrends, Christian and Bekri, Soumeya and Bellaire, Bryan and Bendall, Linda J and Benetti, Luca and Berliocchi, Laura and Bernardi, Henri and Bernassola, Francesca and Besteiro, Sébastien and Bhatia-Kissova, Ingrid and Bi, Xiaoning and Biard-Piechaczyk, Martine and Blum, Janice S and Boise, Lawrence H and Bonaldo, Paolo and Boone, David L and Bornhauser, Beat C and Bortoluci, Karina R and Bossis, Ioannis and Bost, Frédéric and Bourquin, Jean-Pierre and Boya, Patricia and Boyer-Guittaut, Michaël and Bozhkov, Peter V and Brady, Nathan R and Brancolini, Claudio and Brech, Andreas and Brenman, Jay E and Brennand, Ana and Bresnick, Emery H and Brest, Patrick and Bridges, Dave and Bristol, Molly L and Brookes, Paul S and Brown, Eric J and Brumell, John H and ... and Linköpings universitet and Institutionen för klinisk och experimentell medicin and Geriatrik and Institutionen för medicin och hälsa and Farmakologi and Experimentell patologi and Hälsouniversitetet and Cellbiologi
Autophagy, ISSN 1554-8627, 04/2012, Volume 8, Issue 4, pp. 445 - 544
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and... 
stress | vacuole | autolysosome | flux | LC3 | autophagosome | lysosome | phagophore | Binding | Proteins | Landes | Calcium | Bioscience | Biology | Cell | Cycle | Cancer | Organogenesis | Phagophore | Lysosome | Autolysosome | Flux | Autophagosome | Vacuole | Stress | ACTIVATED PROTEIN-KINASE | CHAPERONE-MEDIATED AUTOPHAGY | VACUOLE TARGETING PATHWAY | ENDOPLASMIC-RETICULUM STRESS | ISOLATED RAT HEPATOCYTES | STARVATION-INDUCED AUTOPHAGY | GLUCAGON-INDUCED AUTOPHAGY | CELL BIOLOGY | PROGRAMMED CELL-DEATH | BREAST-CANCER CELLS | BETAINE HOMOCYSTEINE METHYLTRANSFERASE | Biological Assay - methods | Animals | Autophagy - genetics | Models, Biological | Humans | Life Sciences | Cellular Biology | Review | Medical and Health Sciences | Medicin och hälsovetenskap
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5. Full Text Network Interventions
by Thomas W. Valente
Science, ISSN 0036-8075, 7/2012, Volume 337, Issue 6090, pp. 49 - 53
The term "network interventions" describes the process of using social network data to accelerate behavior change or improve organizational performance. In... 
Community structure | Early adopters | Technological innovation | Social interaction | Social media | Social networking | Online social networking | REVIEW | Community associations | Public health | Online communities | HIV PREVENTION | COMMUNITY STRUCTURE | OPINION LEADERS | COMPETITION | MULTIDISCIPLINARY SCIENCES | COLLABORATION | ASSIGNMENT | DIFFUSION | SOCIAL-NETWORK | HEALTH-CARE | INNOVATIONS | Group Processes | Social Networking | Humans | Policy Making | Organizational Innovation | Electronic Mail | Behavior | Internet | Health Behavior | Efficiency, Organizational | Randomized Controlled Trials as Topic | Social networks | Usage | Intervention | Influence | Behavior modification | Organizational change
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6. Full Text Performance of the ATLAS Trigger System in 2010
by Aad, G and Chelstowska, M.A and Consonni, M and Groot, N. de and Filthaut, F and Klok, P.F and Konig, A.C and Koetsveld, F and Raas, M and Salvucci, A and Timmermans, C.W.J.P and ATLAS Collaboration and The ATLAS Collaboration and Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States) and Partikel- och astropartikelfysik and Skolan för teknikvetenskap (SCI) and KTH and Fysik
European Physical Journal C, ISSN 1434-6044, 2012, Volume 72, Issue 1, pp. 1849 - 61
Proton–proton collisions at $\sqrt{s}=7$  TeV and heavy ion collisions at $\sqrt{s_{NN}}=2.76$  TeV were produced by the LHC and recorded using the ATLAS... 
Measurement Science and Instrumentation | Nuclear Physics, Heavy Ions, Hadrons | Nuclear Energy | Quantum Field Theories, String Theory | Physics | Elementary Particles, Quantum Field Theory | Astronomy, Astrophysics and Cosmology | PHYSICS, PARTICLES & FIELDS | Collisions (Nuclear physics) | Protons | Heavy ions | Leptons | Particle collisions | Ionic collisions | Signatures | Atomic collisions | Physics - High Energy Physics - Experiment | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | Fysik | Subatomär fysik | Physical Sciences | Subatomic Physics | Naturvetenskap | Natural Sciences
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7. Full Text Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data
by Aad, G and Chelstowska, M.A and Consonni, M and Groot, N. de and Filthaut, F and Klok, P.F and Konig, A.C and Koetsveld, F and Raas, M and Salvucci, A and Timmermans, C and ATLAS Collaboration and The ATLAS Collaboration and BROOKHAVEN NATIONAL LABORATORY (BNL) and Partikel- och astropartikelfysik and Skolan för teknikvetenskap (SCI) and KTH and Fysik
European Physical Journal C, ISSN 1434-6044, 2012, Volume 72, Issue 3, pp. 1 - 46
Detailed measurements of the electron performance of the ATLAS detector at the LHC are reported, using decays of the Z, W and J/ψ particles. Data collected in... 
Nuclear Physics, Heavy Ions, Hadrons | Measurement Science and Instrumentation | Nuclear Energy | Quantum Field Theories, String Theory | Physics | Elementary Particles, Quantum Field Theory | Astronomy, Astrophysics and Cosmology | ELECTROMAGNETIC CALORIMETER | PHYSICS, PARTICLES & FIELDS | Measurement | Electromagnetism | Collisions (Nuclear physics) | Detectors | Electrons | Protons | Large Hadron Collider | Particle collisions | Linearity | Particle decay | Luminosity | Sensors | Electron energy | Physics - High Energy Physics - Experiment | High Energy Physics - Experiment | LUMINOSITY | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | PROBABILITY | ELECTRONS | PERFORMANCE | RESOLUTION | Fysik | Subatomär fysik | Physical Sciences | Subatomic Physics | Naturvetenskap | Natural Sciences
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8. Structural characteristics of the online social networks of maltreated youth and offline sexual risk behavior
by Sonya Negriff and Thomas W Valente
Child Abuse & Neglect, ISSN 0145-2134, 11/2018, Volume 85, p. 209
Maltreated youth are at risk for exposure to online sexual content and high-risk sexual behavior, yet characteristics of their online social networks have not... 
High risk | Child abuse & neglect | Young adults | At risk | Risk behavior | Sexual behavior | Social networks | Youth | Vulnerability | Maltreatment | Child welfare services | Child neglect | Internet | Maltreated children | Child maltreatment
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9. Full Text Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis
by Hunter, RF and de la Haye, K and Murray, JM and Badham, J and Valente, TW and Clarke, M and Kee, F
PLOS MEDICINE, ISSN 1549-1277, 09/2019, Volume 16, Issue 9, p. e1002890
Background There has been a growing interest in understanding the effects of social networks on health-related behaviour, with a particular backdrop being the... 
TRIAL | MEDICINE, GENERAL & INTERNAL | HIV-PREVENTION INTERVENTION | PUBLIC-HEALTH | CAUSAL INFERENCE | STRATEGY | YOUTH | PHYSICAL-ACTIVITY | SMOKING | ASSIST | Usage | Care and treatment | Analysis | Alcoholism | Health behavior | Glycosylated hemoglobin | Social networks | Research | Public health | Intervention | Drug addiction | Bias | Clinical trials | Risk | Systematic review | Preventive medicine | Cigarette smoking | Subgroups | Substance use | Confidence intervals | Heterogeneity | Social behavior | Social interactions | Reviews | Collaboration | Hemoglobin | Social organization | Females | Smoking | Social support
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