Results 91 to 100 of about 54,058 (295)

Linker‐Engineered Dimeric Acceptors Afford Efficient Organic Photocatalytic Hydrogen Evolution via Tailored Nanomorphology for Long‐Lived Charge Accumulation

open access: yesAdvanced Materials, EarlyView.
We developed a new series of monomeric (MY) and dimeric acceptors incorporating unfused (DY1) and fused (DY2) linkers, which establish a controlled self‐aggregation trend of MY > DY2 > DY1. The DY2‐based system yields a bulk‐heterojunction nanoparticle morphology that appears to balance phase separation and interfacial accessibility, consistent with ...
Jin‐Woo Lee   +11 more
wiley   +1 more source

Employee Satisfaction, Firm Value and Firm Productivity [PDF]

open access: yes
We examine whether self-reported employee satisfaction is associated with higher firm valuation and productivity. Using a sample of firms from Fortune magazine’s list of "100 Best Companies to Work For", companies in which employees report high levels of
Roger Best
core  

The Impact of Compensation and Job Satisfaction on Employee Performance

open access: yesJurnal Bina Praja
This research investigates the relationship between compensation and job satisfaction, as well as the influence of the latter on employee performance and productivity at PT Bank XYZ (Persero) Tbk, South Jakarta.
Yuli Ardianto   +3 more
doaj   +1 more source

Oppositely Charged Single Enzyme Nanogels Form Versatile Coacervates for Efficient Enzyme Cascade Catalysis

open access: yesAdvanced Materials, EarlyView.
Oppositely charged single enzyme nanogels (SENs) phase‐separate into bi‐enzymatic coacervate microdroplets, acting as both scaffold and functional units. By tuning SEN ratios, these coacervates create specific microenvironments that enable selective small‐molecule enrichment and efficient intermediate diffusion.
Andoni Rodriguez‐Abetxuko   +11 more
wiley   +1 more source

The Determinants of Employee Productivity and Earnings: Some New Evidence [PDF]

open access: yes
This paper uses data from a nationwide sample of firms on employee wages and characteristics to reexamine the determinants of employee productivity and earnings.
Harry J. Holzer
core  

Employee Relations and Its Effects on Employee Productivity

open access: yesINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
1. ABSTRACT Employees are among the most important resources of an organization and are coined as most valuable assets. It involves maintaining a work environment that meets the needs of employees and management. Improve employee morale, build corporate culture, pass on expectations.
openaire   +2 more sources

From Behavior to Dynamics: Decoding Carrier Roles in Cu‐based Photocathodes for Solar‐Driven CO2 Reduction

open access: yesAdvanced Materials, EarlyView.
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang   +5 more
wiley   +1 more source

The Roles of Employer and Employee Characteristics for Plant Productivity [PDF]

open access: yes
Using a matched worker-plant data from Finnish manufacturing, the relationships of worker characteristics, wages, and productivity are examined. The process of linking various registers on employees and plants is described in detail.
Jari Vainiomaki   +2 more
core  

The Influence of Transformational Leadership and Organizational Culture on Employee Job Satisfaction and Work Productivity at PT. Asuransi Jiwa Sinarmas MSIG Life Cab. Lombok

open access: yesDanadyaksa
This study aims to analyze the influence of transformational leadership and organizational culture on employee productivity, with job satisfaction serving as a mediating variable at PT. Asuransi Jiwa Sinarmas Msig Life Cab. Lombok. The research employed
Nensi Anggraini   +2 more
doaj   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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