Results 151 to 160 of about 337,996 (258)

Parental Phubbing dan SmartPhone Addiction pada Remaja [PDF]

Penggunaan smartphone oleh masyarakat dalam kehidupan sehari-hari dan pekerjaan menunjukkan adalah hal yang lazim, karena fungsinya tidak hanya sebagai alat komunikasi namun juga sebagai media untuk mencari informasi, hiburan, tempat penyimpanan berbagai
Sari, Rindi Ervita, Purnomo, Tjahjo
core  

Metal nanostructure‐coupled label‐free localized surface plasmon resonance biosensors for rapid and sensitive disease diagnosis

BMEMat, EarlyView.
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng, Yunfei Sha, Jiongyan Yang, Hongru Yang, Xiao Liang   +4 more
wiley   +1 more source

Altered attention network dynamics in resting-state fMRI of individuals with high smartphone addiction scores. [PDF]

Front Neurosci
Watters H, Rashid AA, Suppiah S, LaGrow TJ, Hlinka J, Keilholz S.   +5 more
europepmc   +1 more source

Relationship between Smartphone Addiction with Social Anxiety in Adolescents

, 2019
Introduction: Excessive and uncontrolled use of smartphones in adolescents can cause addiction to users. One negative influence on uncontrolled smartphone use is the occurrence of social anxiety.
Wahyuni, Erna Dwi, Primadiana, Dinda Berlian, Nihayati, Hanik Endang   +2 more
core  

Measuring Corporate Alignment With the Circular Economy: a Text‐Based Circularity Index From Mandatory Non‐Financial Disclosures

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition to a circular economy (CE) has become a strategic priority for firms, yet empirical assessments of corporate circularity remain fragmented and heavily dependent on structured indicators or self‐reported metrics. This paper proposes a novel, text‐based circularity index derived from mandatory non‐financial statements of large ...
Giuseppe Pernagallo, Francesco Quatraro, Eleonora Rubichi   +2 more
wiley   +1 more source

The relationship between smartphone addiction and shyness among medical college students: The mediating effect of self-acceptance. [PDF]

Medicine (Baltimore)
Yin Z, He R, Chang R, Liu Q.
europepmc   +1 more source

How Can Eco‐Friendly Products Be Marketed Effectively? Evidence From a Multinational Study on the Intention–Behaviour Gap for Smartphones Made With Eco‐Friendly Substitute Materials

Business Strategy and the Environment, EarlyView.
ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani, Eri Nakamura, Fumikazu Morimura, Yumi Nakamori, Tsugio Watanabe, Daisuke Furuta, Tomoya Mizuta   +6 more
wiley   +1 more source

Bangla validation of the smartphone addiction scale and the academic underachievement scale: The associative role of classroom mindful attention in the relationship between smartphone addiction and underachievement among adolescents and young adults. [PDF]

PLoS One
Khatun S, Ridoy MMH, Noman AH, Sharon MMH, Mia MR, Islam J, Himel SH, Shahrier MA.   +7 more
europepmc   +1 more source

Digital Technology's Role in Circular Waste Management: A Systematic Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley   +1 more source

Experiential avoidance and smartphone addiction in adolescents: a study using multi-model machine learning and mediation analysis. [PDF]

Front Psychol
Zhang X, Zhang W.
europepmc   +1 more source