Lan Luo

ORCID: 0000-0003-0779-2808
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About
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Research Areas
  • Mental Health Research Topics
  • Advanced Statistical Modeling Techniques
  • Psychometric Methodologies and Testing
  • Technology and Data Analysis
  • Cognitive Science and Mapping
  • Leaf Properties and Growth Measurement
  • Food Supply Chain Traceability
  • Educational Reforms and Innovations
  • Higher Education and Teaching Methods
  • Sensory Analysis and Statistical Methods
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Qualitative Comparative Analysis Research
  • Water Quality Monitoring and Analysis
  • Evaluation and Optimization Models
  • Psychology of Development and Education
  • Primate Behavior and Ecology
  • Outsourcing and Supply Chain Management
  • Heavy metals in environment
  • Education and Work Dynamics
  • Innovation Diffusion and Forecasting
  • COVID-19 diagnosis using AI
  • Statistical Methods and Bayesian Inference
  • Resource-Constrained Project Scheduling
  • Technology Adoption and User Behaviour

University of North Carolina at Chapel Hill
2019-2024

University of Kent
2024

Jilin Agricultural University
2024

University of Shanghai for Science and Technology
2024

Jiangxi University of Traditional Chinese Medicine
2018-2023

Henan Agricultural University
2022

Guangxi Research Institute of Chemical Industry
2010

Chang'an University
2010

Zhejiang A & F University
2008

Southerners on New Ground
1999

In order to solve the problems that existing tomato maturity detection methods struggle take into account both common and cherry varieties in complex field environments (such as light change, occlusion, fruit overlap) model size being too large, this paper proposes a lightweight based on improved YOLO11, named GFS-YOLO11. achieve network, we propose C3k2_Ghost module replace C3K2 original which can ensure feature extraction capability reduce computation. compensate for potential loss caused...

10.3390/agronomy14112644 article EN cc-by Agronomy 2024-11-09

We provide a brief overview of two R packages that can conduct exploratory factor analysis (EFA): psych and EFAutilities. After introducing EFA the exemplar data used in this paper we discuss best practices for EFA. Next, describe approaches During explanation, sample code usage results empirical datasets. Finally, highlight similarities distinctions each package on modeling

10.1080/10705511.2019.1615835 article EN Structural Equation Modeling A Multidisciplinary Journal 2019-07-11

In modern animal husbandry, intelligent digital farming has become the key to improve production efficiency. This paper introduces a model based on improved YOLOv8, Cattle Behavior Recognition-YOLO (CBR-YOLO), which aims accurately identify behavior of cattle. We not only generate variety weather conditions, but also introduce multi-target detection technology achieve comprehensive monitoring cattle and their status. Inner-MPDIoU Loss we have innovatively designed Multi-Convolutional Focused...

10.3390/ani14192800 article EN cc-by Animals 2024-09-27

Artificial intelligence (AI) has recently emerged as an important driving force in the evolution of technology and unstoppable trend modern era. The combination AI chips, algorithms, data computing power, addition to rapid development, manufacturing, application thereof have accelerated advent era resulting a regrouping operating methods enterprises reshuffling competitive landscape. These changes brought light limitations existing leadership theories, this lack is coming under spotlight...

10.22243/tklq.2025.16.1.185 article EN Korean Academy Of Leadership 2025-02-28

In order to meet the urgent need of fruit contour information for robot precision picking in complex field environments (such as light changes, occlusion and overlap, etc.), this paper proposes an improved YOLOv8s-seg method tomato instance segmentation, named ACP-Tomato-Seg. The two innovative modules: Adaptive Oriented Feature Refinement module (AOFRM) Custom Multi-scale Pooling (CMPRD) with Residuals Depth. By deformable convolution multi-directional asymmetric convolution, AOFRM...

10.3389/fpls.2025.1503256 article EN cc-by Frontiers in Plant Science 2025-05-02

Researchers across varied fields increasingly are collecting and analyzing intensive longitudinal data (ILD) to examine processes time at the individual level. Two types of relations typically examined: lagged contemporaneous. Lagged capture how variables a prior point can be used explain variance in later point. These always modeled using auto- cross-regressions by means vector autoregression (VAR). By contrast, there two commonly model contemporaneous relations, which relate...

10.1037/met0000485 article EN Psychological Methods 2022-04-14

Crop diseases and pests are important factors restricting agricultural production. Traditional pest detection methods mainly targeted at a single species, which is difficult to meet the needs of multi-target identification rapid response in real scenes. Therefore, this paper improves YOLOv8n model for efficient detection. Two feature enhancement modules, EMSFEM AFEM_SIE, proposed paper. The module enriches model’s receptive field through combination multi-scale asymmetric convolution kernel...

10.3390/agronomy14081640 article EN cc-by Agronomy 2024-07-26

It is common practice for psychologists to specify models with latent variables represent concepts that are difficult directly measure. Each variable needs a scale, and the most popular method of scaling as well default in structural equation modeling (SEM) software uses or reference indicator. Much time, choice which indicator use this purpose receives little attention, many analysts first without considering whether there better choices. When all indicators have essentially same...

10.1037/met0000530 article EN other-oa Psychological Methods 2022-10-06

As the sika deer breeding industry flourishes on a large scale, accurately assessing health of these animals is paramount importance. Implementing posture recognition through target detection serves as vital method for monitoring well-being deer. This approach allows more nuanced understanding their physical condition, ensuring can maintain high standards animal welfare and productivity. In order to achieve remote without interfering with natural behavior animals, enhance welfare, this paper...

10.3390/ani14182640 article EN cc-by Animals 2024-09-11

In the domain of finance and economics, ensuring validity dependability forecasting models is crucial. this paper, White Noise Hypothesis Test elucidated as an essential model validation tool for both regression ARIMA models. case analysis, there a need residual independence homoscedasticity to confirm that estimates parameters are not biased, is, chances parameter estimated be true high. model, residuals checked white noise characteristics, so ensure all relevant patterns associated with...

10.54254/2753-8818/42/20240672 article EN Theoretical and Natural Science 2024-09-20

ABSTRACT The development of deep learning has played an increasingly crucial role in assisting medical diagnoses. Lung cancer, as a major disease threatening human health, benefits significantly from the use auxiliary systems to assist segmenting pulmonary nodules. This approach effectively enhances both accuracy and speed diagnosis for physicians, thereby reducing risk patient mortality. However, nodules are characterized by irregular shapes wide range diameter variations. They often reside...

10.1002/ima.23209 article EN International Journal of Imaging Systems and Technology 2024-11-01

We present the R package MIIVefa, designed to implement MIIV-EFA algorithm. This algorithm explores and identifies underlying factor structure within a set of variables. The resulting model is not typical exploratory analysis (EFA) because some loadings are fixed zero it allows users include hypothesized correlated errors such as might occur with longitudinal data. As such, resembles confirmatory (CFA) model. But, unlike CFA, determines number factors items that load on these directly from...

10.1080/00273171.2024.2436418 article EN Multivariate Behavioral Research 2024-12-27

10.17615/2tm2-qn67 article EN Carolina Digital Repository (University of North Carolina at Chapel Hill) 2024-03-26

Based on the concept of positive psychology, this paper probes into psychological basis integration psychology college students' mental health curriculum, and puts forward main contents implementation methods curriculum education.

10.12783/dtssehs/iced2017/15097 article EN DEStech Transactions on Social Science Education and Human Science 2017-11-06

To discuss the application of positive psychology in course college students' mental health, this paper analyzes into which is not only consistent with characteristics physical and development students, but also result internal needs students who pay more attention to self.Therefore, according theory contemporary order integrate health better, teachers should actively transform their educational ideas, cultivate qualities create classroom atmosphere.In process education, four aspects be...

10.2991/iceemr-18.2018.70 article EN cc-by-nc Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018) 2018-01-01

This paper confirms the support relationships between executive power and management capability in China construction enterprises. Enterprises' is listed as one of three inherent growth forces. Based on literatures analysis power, enterprise has been defined, at same time, integrating surface hidden lyaler uphold effect to enterprieses' development from executive, further constructs index system with ability, coordinate ability service ability. other hand, by improved factor analsysis...

10.1109/mace.2010.5536825 article EN International Conference on Mechanic Automation and Control Engineering 2010-06-01
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