125 research outputs found
Real estate rental market: a 10-year bibliometricbased review
The real estate rental market (RERM) is considered to have an
important role in the entire real estate market. It refers to a property composed of land and its buildings, including the natural
resources that can be rented or leased. Previous researches show
that most developed countries have experienced the historical
process of passively renting, actively buying, and actively renting.
Moreover, academic interest in the impact of different sectors of
the RERM has been reviewed increasingly over the past decade.
However, previous studies provide limited insights into a comprehensive review of the RERM. Based on a 10-year database of 790
articles collected from the Web of Science, a comprehensive literature review is presented to discover the knowledge structure
of RERM using CiteSpace software. First, this study recognizes the
cluster of the articles, and discusses six major clusters in detail.
Next, this study has identified four research trends that emerged
during the past decade. To reveal the differences between the
studies in the United States (US), China and the United Kingdom
(UK), this study compares their publication scales and co-word
networks. Finally, this study suggests six meaningful future
research directions
Controllable nonlinear propagation of partially incoherent Airy beams
The self-accelerating beams such as the Airy beam show great potentials in
many applications including optical manipulation, imaging and communication.
However, their superior features during linear propagation could be easily
corrupted by optical nonlinearity or spatial incoherence individually. Here we
investigate how the interaction of spatial incoherence and nonlinear
propagation affect the beam quality of Airy beam, and find that the two
destroying factors can in fact balance each other. Our results show that the
influence of coherence and nonlinearity on the propagation of PIABs can be
formulated as two exponential functions that have factors of opposite signs.
With appropriate spatial coherence length, the PIABs not only resist the
corruption of beam profile caused by self-focusing nonlinearity, but also
exhibits less anomalous diffraction caused by the self-defocusing nonlinearity.
Our work provides deep insight into how to maintain the beam quality of
self-accelerating Airy beams by exploiting the interaction between partially
incoherence and optical nonlinearity. Our results may bring about new
possibilities for optimizing partially incoherent structured field and
developing related applications such as optical communication, incoherent
imaging and optical manipulations.Comment: 11pages,6 figure
Therapeutics of Charcot neuroarthropathy and pharmacological mechanisms: A bone metabolism perspective
Charcot neuroarthropathy (CN) is a chronic, destructive, and painless damage of the skeletal system that affects the life quality of patients. CN, with an unclear mechanism, is characterized with invasive destruction of bones and a serious abnormality of bone metabolism. Unfortunately, development of an effective prevention and treatment strategy for CN is still a great challenge. Of note, recent studies providing an insight into the molecular mechanisms of bone metabolism and homeostasis have propelled development of novel CN therapeutic strategies. Therefore, this review aims to shed light on the pathogenesis, diagnosis, and treatment of CN. In particular, we highlight the eminent role of the osteoprotegerin (OPG)-receptor activator of nuclear factor-κB (RANK)-RANK ligand (RANKL) system in the development of CN. Furthermore, we summarize and discuss the diagnostic biomarkers of CN as well as the potential pharmacological mechanisms of current treatment regimens from the perspective of bone metabolism. We believe that this review will enhance the current state of knowledge on the diagnosis, prevention, and therapeutic efficacy of CN
Ball Mill Fault Prediction Based on Deep Convolutional Auto-Encoding Network
Ball mills play a critical role in modern mining operations, making their
bearing failures a significant concern due to the potential loss of production
efficiency and economic consequences. This paper presents an anomaly detection
method based on Deep Convolutional Auto-encoding Neural Networks (DCAN) for
addressing the issue of ball mill bearing fault detection. The proposed
approach leverages vibration data collected during normal operation for
training, overcoming challenges such as labeling issues and data imbalance
often encountered in supervised learning methods. DCAN includes the modules of
convolutional feature extraction and transposed convolutional feature
reconstruction, demonstrating exceptional capabilities in signal processing and
feature extraction. Additionally, the paper describes the practical deployment
of the DCAN-based anomaly detection model for bearing fault detection,
utilizing data from the ball mill bearings of Wuhan Iron & Steel Resources
Group and fault data from NASA's bearing vibration dataset. Experimental
results validate the DCAN model's reliability in recognizing fault vibration
patterns. This method holds promise for enhancing bearing fault detection
efficiency, reducing production interruptions, and lowering maintenance costs.Comment: 9 pages, 11 figure
The RANK/RANKL/OPG system and tumor bone metastasis: Potential mechanisms and therapeutic strategies
With the markedly increased diagnosis and incidence of cancer in the population, tumor bone metastasis has become a frequent event in tumor patients. Healthy bone integrity is maintained by a delicate balance between bone formation and bone resorption. Unfortunately, many tumors, such as prostate and breast, often metastasize to the bone, and the alterations to the bone homeostasis can particularly favor tumor homing and consequent osteolytic or osteoblastic lesions. Receptor activator of NF-κB ligand (RANKL), its receptor RANK, and osteoprotegerin (OPG) are involved in the regulation of the activation, differentiation, and survival of osteoclasts, which play critical roles in bone metastasis formation. High rates of osteoclastic bone resorption significantly increase fracture risk, cause severe bone pain, and contribute to homing tumor cells in bone and bone marrow. Consequently, suppression of the RANK/RANKL/OPG system and osteoclastic activity can not only ameliorate bone resorption but may also prevent tumor bone metastases. This review summarizes the important role of the RANK/RANKL/OPG system and osteoclasts in bone homeostasis and its effect on tumor bone metastasis and discusses therapeutic strategies based on RANKL inhibition
Top-down synthesis of polyoxometalate-like sub-nanometer molybdenum-oxo clusters as high-performance electrocatalysts
RadOnc-GPT: A Large Language Model for Radiation Oncology
This paper presents RadOnc-GPT, a large language model specialized for
radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on
a large dataset of radiation oncology patient records and clinical notes from
the Mayo Clinic in Arizona. The model employs instruction tuning on three key
tasks - generating radiotherapy treatment regimens, determining optimal
radiation modalities, and providing diagnostic descriptions/ICD codes based on
patient diagnostic details. Evaluations conducted by comparing RadOnc-GPT
outputs to general large language model outputs showed that RadOnc-GPT
generated outputs with significantly improved clarity, specificity, and
clinical relevance. The study demonstrated the potential of using large
language models fine-tuned using domain-specific knowledge like RadOnc-GPT to
achieve transformational capabilities in highly specialized healthcare fields
such as radiation oncology
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