Results 231 to 240 of about 1,551,089 (266)

Bi‐Directional Assembly of Boron Nitride µ‐Platelets by Micro‐Molding for Advanced Thermal Interface Materials

Advanced Functional Materials, EarlyView.
Bi‐directionally assembled BN µ‐platelets in micropatterns formed by a micro‐molding method for thermal interface materials are demonstrated. The BN µ‐platelets are vertically aligned selectively, while compressed regions without patterns accommodate horizontally assembled BN µ‐platelets. Through anisotropic orientation, high thermal conductivities for
Young Gil Kim, In‐Young Jung, Yujin Mun, Joo Hwan Shin, Sang Gil Lee, Gyan Raj Koirala, Taewoo Kang, Jehyung Ok, Hyesu Choi, Jiwon Kim, Youngkwang Shin, Seok Joon Kwon, Tae‐il Kim   +12 more
wiley   +1 more source

Enhancing Optoelectronic Properties in Phthalocyanine‐Based SURMOFs: Synthesis of ABAB Linkers by Avoiding Statistical Condensation with Tailored Building Blocks

Advanced Functional Materials, EarlyView.
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer, Mareen Stahlberger, Xiaojing Liu, Yi Luo, Niklas E. Häußermann, Puja Singhvi, Yidong Liu, Olaf Fuhr, Martin Nieger, Lars Heinke, Thomas Heine, Christof Wöll, Stefan Bräse   +12 more
wiley   +1 more source

Engineered Peptides‐Based Hybrid‐Nested Microneedle Effectively Treat Biofilm‐Infected Diabetic Wounds

Advanced Functional Materials, EarlyView.
A hybrid‐nested microneedle/cryogel scaffold (MQW‐CMg‐MOF) is designed for efficient biofilm removal and accelerated healing of diabetic wounds. The scaffold shows substantial biofilm removal in vitro and in a preclinical diabetic swine biofilm‐infected wound model compared to the control.
Syed Muntazir Andrabi, S. M. Shatil Shahriar, Yiran Tian, Farzad Hayati, Yajuan Su, Feng Zhang, Navatha Shree Sharma, Guangshun Wang, Shannon L. Wong, Zheng Yan, Guoliang Huang, Jingwei Xie   +11 more
wiley   +1 more source

Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors

Advanced Functional Materials, EarlyView.
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi, Tianyue Wang, Dapeng Liu, Jiupeng Cao, Jing Zhuang, Zeyu Zhao, Yang Xu, Mitch Guijun Li, Liang Li, Tianyou Zhai, Feng Yan   +10 more
wiley   +1 more source

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Computational social science: Obstacles and opportunities

Science, 2020
Data sharing, research ethics, and incentives must improve The field of computational social science (CSS) has exploded in prominence over the past decade, with thousands of papers published using observational data, experimental designs, and large-scale
D. Lazer, A. Pentland, D. Watts, Sinan Aral, S. Athey, N. Contractor, Deen Freelon, Sandra González-Bailón, Gary King, H. Margetts, Alondra Nelson, Matthew J. Salganik, M. Strohmaier, A. Vespignani, Claudia Wagner   +14 more
semanticscholar   +1 more source

Big data, computational social science, and other recent innovations in social network analysis.

Canadian Review of Sociology/Revue canadienne de sociologie, 2022
While sociologists have studied social networks for about one hundred years, recent developments in data, technology, and methods of analysis provide opportunities for social network analysis (SNA) to play a prominent role in the new research world of ...
D. Tindall, J. McLevey, Yasmin Koop-Monteiro, Alexander V. Graham   +3 more
semanticscholar   +1 more source

Computational social science: On measurement

Science, 2020
In their Policy Forum “Computational social science: Obstacles and opportunities” (28 August, p. [1060][1]), D. M. J. Lazer et al. propose ethical data infrastructures for computational social science research.
A. Wu, H. Taneja, D. Boyd, Paul Donato, M. Hindman, Philip M. Napoli, James Webster   +6 more
semanticscholar   +1 more source

Rethinking Social Networks in the Era of Computational Social Science

The Oxford Handbook of Social Networks, 2020
Recent work argued that researchers conceptualize “social ties” in four fundamentally different ways—as socially constructed role relations such as friendship or coauthorship, sentiments such as liking or hatred, interactions such as communication or sex,
J. Kitts, E. Quintane
semanticscholar   +1 more source

A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data*

Journal of technology in human services, 2019
Comparing and contrasting qualitative and quantitative methods for social media data exploration, this article describes and demonstrates the topic modeling approach for the descriptive analysis of large unstructured text data.
Maria Rodriguez, Heather L. Storer
semanticscholar   +1 more source

Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory

Health Communication, 2018
Contemporary research on health communication has been marked by the presence of big data and computational social science (CSS) techniques. The relative novelty of these approaches makes it worthwhile to consider their status and potential for advancing
Stephen A. Rains
semanticscholar   +1 more source