Results 121 to 130 of about 86,031 (183)

Critical Success Factors for Enhancing the Circular Economy Performance of Last‐Mile Cold Chain Logistics Packaging for Urban Agricultural Products

Business Strategy and the Environment, EarlyView.
ABSTRACT With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive
Miao Su, Chunyu Liu, Shucheng Duan, Taewoo Roh   +3 more
wiley   +1 more source

Mobile app-based cognitive decision-making and memory games enhance cognitive function in older adults with mild cognitive impairment. [PDF]

Front Psychol
Pumpho A, Boonsinsukh R, Srisim K, Kaewsanmung S, Suwannarat P, Keawduangdee P.   +5 more
europepmc   +1 more source

Corporate Decarbonization via Technology and Management

Business Strategy and the Environment, EarlyView.
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran, Rudolf R. Sinkovics, Olli Kuivalainen   +2 more
wiley   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Comparative effects of exercise type and dose on depression in children and adolescents: a network meta-analysis. [PDF]

Front Psychol
Cao X.
europepmc   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source

Electrochromic polyoxometalates for sensing abiotic stress in plants. [PDF]

Front Plant Sci
González A, Pérez-Gordillo F, Alarcón-Guijo P, Romero-Puertas MC, Sandalio LM, Dominguez-Vera JM.   +5 more
europepmc   +1 more source

Establishing Indium in Frustrated Lewis Pair Chemistry: From Synthesis to Catalytic Applications

ChemistryEurope, EarlyView.
Not that hard: The effects of chemical hardness of the soft FLP tBu2InCH2PtBu2 and its pyridine‐adduct tBu2In(py)CH2PtBu2 were examined in adduct formation reactions toward H2, CO2, and CS2. The frustrated Lewis pair shows catalytic activity in the reduction of CO2 with pinacolborane.
Daniel N. Heuer, Jan‐Hendrik Lamm, Hans‐Georg Stammler, Beate Neumann, Andreas Mix, Yury V. Vishnevskiy, Norbert W. Mitzel   +6 more
wiley   +1 more source

Reducing teachers' perceived stress through an online wellbeing intervention: the role of socio-emotional competence and self-efficacy. [PDF]

Front Psychol
Ornaghi V, Cavioni V, Conte E.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source