Results 71 to 80 of about 72,779 (234)

Adolescent Cyberviolence in South Korea: A Multi‐Year, National Population‐Based Study of Cyberviolence Prevalence (2017–2024)

Behavioral Sciences &the Law, EarlyView.
ABSTRACT With the rise of digital technology, adolescent cyberviolence has become a growing global concern in public health and criminal justice. This study used nationally representative data from South Korea (2017–2024) to examine the prevalence of eight types of cyberviolence (i.e., verbal abuse, defamation, stalking, sexual abuse, personal ...
Heng Choon (Oliver) Chan, Hong‐Jun Park, Evelyn Svingen   +2 more
wiley   +1 more source

Consumer Mobile Phone Recycling Behaviour: A Systematic Review and Future Research Agenda

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Mobile phone recycling has received increasing attention from scholars and practitioners due to its environmental, social, and economic impacts. However, knowledge about consumer mobile phone (MP) recycling behaviour is fragmented, making it challenging to develop effective strategies to promote this behaviour. This study follows the Preferred
Xinru (Angie) Jiang, Ninh Nguyen, Steven Greenland, Jacqueline K. Eastman, Chrystie Watson   +4 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

Practical Attacks Against Graph-based Clustering

, 2017
Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks.
Bayer Ulrich, Benczúr Miklós, Carlini Nicholas, Chen Yizheng, Chen Yizheng, Hao Shuang, Invernizzi Luca, Li Zhou, Nadji Yacin, Nelms Terry, Nelms Terry, Papernot Nicolas, Perdisci Roberto, Polo Chau Duen Horng, Rahbarinia Babak, Rndic Nedim, Sivakorn Suphannee, Smutz Charles, Sun Jimeng, Wagner David   +19 more
core   +1 more source

Modulating Perovskite Crystallization via Multisite Bonding for Enhanced Solar Cell Performance

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study proposes an innovative multisite bonding strategy to regulate crystallization. By employing bidentate ligands N,N‐diethyl‐1,2‐ethanediamine dihydrochloride (DED) that coordinate with uncoordinated Pb2+ and I− vacancies, while simultaneously forming hydrogen bonds with FA+ ions, this synergistic interaction prolongs the perovskite ...
Yujie Zhu, Nan Li, Runkang Wang, Jing Zhang, Xin Liu, Jiafan Zhang, Jiacheng Pi, Shuo Li, Hang Su, Wei Yu, Yuying Hao, Fei Guo, Deng Li, Shengzhong Liu   +13 more
wiley   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Beyond the Bin: The Effect of Waste Reduction on Real Earnings Management

International Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the effect of waste management strategies on real earnings management. Using a sample of 6515 firm‐year observations from 22 countries spanning the 2011–2022 period, we show that companies that reduce their waste generation are less likely to engage in real earnings management, supporting the ethical theoretical perspective ...
Faten Lakhal, Assil Guizani, Khaled Ghozzi, Khaled Hussainey   +3 more
wiley   +1 more source

Sensitivity Limit of Nanoscale Phototransistors

, 2017
In this paper the optical gain mechanism in phototransistor detectors (PTDs) is explored in low light conditions. An analytical formula is derived for the physical limit on the minimum number of detectable photons for the PTD. This formulation shows that
Brown, André EX, Ch'ng, Quee-Lim, Currie, Michael, Grundy, Laura J, Hokanson, Jim, Javer, Avelino, Kerr, Rex, Lee, Chee Wai, Li, Chris, Li, Kezhi, Schafer, William R, Yemini, Eviatar   +11 more
core   +3 more sources