Time to surgical management of distal radius fractures: effects on health care utilization and functional outcomes.

BACKGROUND: Distal radius fractures are common injuries. Open reduction and internal fixation with volar locking plates is the most common approach for surgical fixation. This study investigated the association between time to surgery and health care utilization, income, and functional outcomes among patients undergoing open reduction and internal fixation for distal radius fracture. METHODS: We conducted a retrospective review of patients who underwent open reduction and internal fixation for isolated acute distal radius fracture between 2009 and 2019. Time to surgery was grouped as early (≤ 14 d) and delayed (> 14 d). We performed χ2 (or Fisher exact) and Wilcoxon rank sum (or Kruskal-Wallis) tests to provide statistical comparison of time to surgery by health care utilization and functional outcomes. Univariable and multivariable logistic regression analyses were performed to identify factors significantly associated with time to surgery. We included all significant univariables in the multivariable logistic regression model, which identified factors based on significant adjusted odds ratios (95% confidence intervals excluding the null) after we adjusted for confounding variables. RESULTS: We included 106 patients, with 36 (34.0%) in the group receiving early treatment and 70 (66.0%) in the group receiving delayed treatment. Patients in the delayed-treatment group attended significantly more clinic visits and postoperative hand therapy sessions. The group with delayed treatment demonstrated significantly lower degrees of wrist flexion at the first follow-up, but this difference did not persist. Patients with higher estimated income (> $39 405 per annum) had lower odds of delayed surgery than those with lower estimated income (≤ $39 405). CONCLUSION: Delayed time to surgery was associated with greater health care utilization and lower degrees of early wrist flexion. Access to care for lower-income patients warrants further evaluation.

Pan AMPK Activation Protects Tubules in Rat Ischemic Acute Kidney Injury.

Acute Kidney Injury (AKI) is characterized by an abrupt decline in kidney function and has been associated with excess risks of death, kidney disease progression, and cardiovascular events. The kidney has a high energetic demand with mitochondrial health being essential to renal function and damaged mitochondria has been reported across AKI subtypes. 5' adenosine monophosphate-activated protein kinase (AMPK) activation preserves cellular energetics through improvement of mitochondrial function and biogenesis when ATP levels are low such as under ischemia-induced AKI. We developed a selective potent small molecule pan AMPK activator, compound 1, and tested its ability to increase AMPK activity and preserve kidney function during ischemia/reperfusion injury in rats. A single administration of 1 caused sustained activation of AMPK for at least 24 hours, protected against acute tubular necrosis, and reduced clinical markers of tubular injury such as NephroCheck and Fractional Excretion of Sodium (FENa). Reduction in plasma creatinine and increased Glomerular Filtration Rate (GFR) indicated preservation of kidney function. Surprisingly, we observed a strong diuretic effect of AMPK activation associated with natriuresis both with and without AKI. Our findings demonstrate that activation of AMPK leads to protection of tubular function under hypoxic/ischemic conditions which holds promise as a potential novel therapeutic approach for AKI. Significance Statement No approved pharmacological therapies currently exist for acute kidney injury. We developed Compound 1 which dose-dependently activated AMPK in the kidney and protected kidney function and tubules after ischemic renal injury in the rat. This was accompanied by natriuresis in injured as well as uninjured rats.

Ambient Room Temperatures in a Burn Intensive Care Unit-A Quality Improvement Project.

Introduction: Patients with major burn injuries are particularly susceptible to hypothermia. The ability to maintain and rapidly increase ambient temperatures may reduce the impact of hypothermia and the hypermetabolic response. The purpose of this study was to determine ambient patient room temperatures in a burn intensive care unit (ICU) and to evaluate our ability to adjust these temperatures. Methods: The ambient temperatures of 9 burn ICU patient rooms were recorded hourly over a 6-month period in an American Burn Association-verified burn centre. Temperatures were recorded using wall-mounted smart sensors, transmitted to a mobile smartphone application via Bluetooth, and then exported to Excel for analysis. On 2 predetermined dates, thermostats in all rooms were simultaneously set to maximum, and monitored over 3 h. This represented a sound change initiative, and replicated a medical order to increase the ambient temperature during critical stages of patient care. Results: We recorded 4394 individual hourly temperature measurements for each of the 9 rooms. The mean ambient temperature was 23.5 ± 0.3 °C (range 22.8-24). After intervention 1, ambient temperatures increased <2 °C in 7 rooms and by only 2 °C-3 °C in the other 2 rooms. The overall mean increase in temperature over 3 h across all rooms was 1.03 °C ± 1.19 °C (range -0.88 to 3.26). Following intervention 2, temperatures could be increased by ≥2 °C in only 2 rooms with an overall mean increase in temperature of only 0.76 °C ± 0.99 °C (range -0.29 to 2.43) across all rooms. Conclusions: The burn ICU rooms were relatively cool and our ability locally to adjust ambient temperatures quickly was limited. Burn centres should have regular facility assessments to assess whether ambient temperatures can be adjusted expeditiously when required.

Introduction : Les patients ayant des brûlures importantes (>20% de la surface corporelle totale) sont particulièrement exposés au risque d'hypothermie. La capacité à maintenir et à rapidement augmenter la température ambiante peut réduire la répercussion négative de l'hypothermie et de la réponse hypermétabolique. L'objectif de cette étude était de déterminer la température ambiante des chambres de patients dans une unité de soins intensifs (USI) pour brûlés et d'évaluer notre capacité à ajuster ces températures. Méthodes : La température ambiante de neuf chambres de patients en USI pour brûlés a été enregistrée heure par heure pendant une période de 6 mois dans un centre pour brûlés vérifié par l'ABA. Les températures ont été consignées en utilisant des capteurs intelligents montés sur les murs avec transmission par Bluetooth à une application mobile pour téléphone intelligent, puis exportées dans un tableau Excel pour analyse. À deux dates prédéterminées, les thermostats de toutes les chambres ont été simultanément réglés au maximum et contrôlés pendant 3 heures. Cela représentait une initiative de changement réfléchie, répliquant une consigne médicale d'augmentation de la température ambiante pendant les phases critiques de soins aux patients. Résultats : Nous avons enregistré 4394 relevés horaires de la température pour chacune des neuf chambres. La température ambiante moyenne était de 23,5 ± 0,3 °C (écart : 22,8 à 24). Après la première intervention, les températures ambiantes ont augmenté de moins de 2 °C dans 7 chambres et de seulement 2 °C à 3 °C dans les deux autres chambres. L'augmentation moyenne globale pendant les 3 heures dans toutes les chambres était de 1,03 °C ± 1,19 °C (écart : −0,88 à 3,26). Après la deuxième intervention, les températures ont pu être augmentées de ≥ 2 °C dans seulement deux chambres avec une augmentation globale moyenne de la température de seulement 0,76 °C ± 0,99 °C (écart : −0,29 à 2,43) pour l'ensemble des chambres. Conclusions : Les chambres de l'USI pour brûlés étaient relativement fraîches et notre capacité à ajuster rapidement les températures ambiantes était limitée. Les centres pour brûlés devraient faire l'objet d'évaluations régulières d'établissement pour déterminer si la température ambiante peut être ajustée dans des délais très brefs en cas de besoin.

Approach to machine learning for extraction of real-world data variables from electronic health records.

Background: As artificial intelligence (AI) continues to advance with breakthroughs in natural language processing (NLP) and machine learning (ML), such as the development of models like OpenAI's ChatGPT, new opportunities are emerging for efficient curation of electronic health records (EHR) into real-world data (RWD) for evidence generation in oncology. Our objective is to describe the research and development of industry methods to promote transparency and explainability. Methods: We applied NLP with ML techniques to train, validate, and test the extraction of information from unstructured documents (e.g., clinician notes, radiology reports, lab reports, etc.) to output a set of structured variables required for RWD analysis. This research used a nationwide electronic health record (EHR)-derived database. Models were selected based on performance. Variables curated with an approach using ML extraction are those where the value is determined solely based on an ML model (i.e. not confirmed by abstraction), which identifies key information from visit notes and documents. These models do not predict future events or infer missing information. Results: We developed an approach using NLP and ML for extraction of clinically meaningful information from unstructured EHR documents and found high performance of output variables compared with variables curated by manually abstracted data. These extraction methods resulted in research-ready variables including initial cancer diagnosis with date, advanced/metastatic diagnosis with date, disease stage, histology, smoking status, surgery status with date, biomarker test results with dates, and oral treatments with dates. Conclusion: NLP and ML enable the extraction of retrospective clinical data in EHR with speed and scalability to help researchers learn from the experience of every person with cancer.

Improving hand therapy delivery during care transitions in multisystem trauma patients.

High-quality hand therapy is critical to maximising functional capacity and optimising overall outcomes following hand injuries. Therapy delivery requires clear communication between surgeons and occupational therapists. At Sunnybrook Health Sciences Centre (SHSC), Canada's largest tertiary care centre, suboptimal communication is a significant barrier to efficient hand therapy delivery in acute multisystem trauma patients. A baseline audit at SHSC found that 41% of hand therapy orders required clarification and 35% of patients waited over 24 hours before their order was fulfilled. In many cases, communication errors created unacceptably long delays that were suspected by surgeon stakeholders to impede patient outcomes. This highlighted an opportunity for investigation and system improvement.Using process mapping methodology, we outlined standard process involved in patient care and identified barriers to successful communication. We collaborated with key stakeholders to codesign a standardised template for care orders. We aimed to improve order clarity and consistency with the goal of reducing the incidence of clarification and delays.Postimplementation, the percentage of hand therapy orders requiring clarification was decreased to 24%. The number of patients waiting over 24 hours for therapy was also reduced; however, further investigation is required to verify this finding. In addition, essential order components were more consistently and comprehensively included. Next steps of this work include expanding the use of the order template outside of the multisystem trauma population and improving the communication of hand therapy at discharge from hospital.

Combating the COVID-19 infodemic using Prompt-Based curriculum learning.

The COVID-19 pandemic has been accompanied by a proliferation of online misinformation and disinformation about the virus. Combating this 'infodemic' has been identified as one of the top priorities of the World Health Organization, because false and misleading information can lead to a range of negative consequences, including the spread of false remedies, conspiracy theories, and xenophobia. This paper aims to combat the COVID-19 infodemic on multiple fronts, including determining the credibility of information, identifying its potential harm to society, and the necessity of intervention by relevant organizations. We present a prompt-based curriculum learning method to achieve this goal. The proposed method could overcome the challenges of data sparsity and class imbalance issues. Using online social media texts as input, the proposed model can verify content from multiple perspectives by answering a series of questions concerning the text's reliability. Experiments revealed the effectiveness of prompt tuning and curriculum learning in assessing the reliability of COVID-19-related text. The proposed method outperforms typical text classification methods, including fastText and BERT. In addition, the proposed method is robust to the hyperparameter settings, making it more applicable with limited infrastructure resources.

Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models.

One of the main concerns in multidimensional item response theory (MIRT) is to detect the relationship between observed items and latent traits, which is typically addressed by the exploratory analysis and factor rotation techniques. Recently, an EM-based L1-penalized log-likelihood method (EML1) is proposed as a vital alternative to factor rotation. Based on the observed test response data, EML1 can yield a sparse and interpretable estimate of the loading matrix. However, EML1 suffers from high computational burden. In this paper, we consider the coordinate descent algorithm to optimize a new weighted log-likelihood, and consequently propose an improved EML1 (IEML1) which is more than 30 times faster than EML1. The performance of IEML1 is evaluated through simulation studies and an application on a real data set related to the Eysenck Personality Questionnaire is used to demonstrate our methodologies.

A Systematic Review of the Cost-Effectiveness of Cleft Care in Low- and Middle-Income Countries: What is Needed?

OBJECTIVE: The objective of this paper is to conduct a systematic review that summarizes the cost-effectiveness of cleft lip and/or palate (CL/P) care in low- and middle-income countries (LMICs) based on existing literature. DESIGN: We searched eleven electronic databases for articles from January 1, 2000 to December 29, 2020. This study is registered in PROSPERO (CRD42020148402). Two reviewers independently conducted primary and secondary screening, and data extraction. SETTING: All CL/P cost-effectiveness analyses in LMIC settings. PATIENTS, PARTICIPANTS: In total, 2883 citations were screened. Eleven articles encompassing 1,001,675 patients from 86 LMICs were included. MAIN OUTCOME MEASURES: We used cost-effectiveness thresholds of 1% to 51% of a country's gross domestic product per capita (GDP/capita), a conservative threshold recommended for LMICs. Quality appraisal was conducted using the Joanna Briggs Institute (JBI) checklist. RESULTS: Primary CL/P repair was cost-effective at the threshold of 51% of a country's GDP/capita across all studies. However, only 1 study met at least 70% of the JBI criteria. There is a need for context-specific cost and health outcome data for primary CL/P repair, complications, and existing multidisciplinary management in LMICs. CONCLUSIONS: Existing economic evaluations suggest primary CL/P repair is cost-effective, however context-specific local data will make future cost-effectiveness analyses more relevant to local decision-makers and lead to better-informed resource allocation decisions in LMICs.

The mitochondrial fission protein Drp1 in liver is required to mitigate NASH and prevents the activation of the mitochondrial ISR.

OBJECTIVE: The mitochondrial fission protein Drp1 was proposed to promote NAFLD, as inhibition of hepatocyte Drp1 early in life prevents liver steatosis induced by high-fat diet in mice. However, whether Drp1-knockdown in older mice can reverse established NASH is unknown. METHODS: N-acetylgalactosamine-siRNA conjugates, an FDA approved method to deliver siRNA selectively to hepatocytes, were used to knockdown hepatocyte-Drp1 in mice (NAG-Drp1si). NASH was induced in C57BL/6NTac mice by Gubra-Amylin-NASH diet (D09100310, 40% fat, 22% fructose and 2% cholesterol) and treatment with NAG-Drp1si was started at week 24 of diet. Circulating transaminases, liver histology, gene expression of fibrosis and inflammation markers, and hydroxyproline synthesis determined NASH severity. Liver NEFA and triglycerides were quantified by GC/MS. Mitochondrial function was determined by respirometry. Western blots of Oma1, Opa1, p-eIf2α, as well as transcriptional analyses of Atf4-regulated genes determined ISR engagement. RESULTS: NAG-Drp1si treatment decreased body weight and induced liver inflammation in adult healthy mice. Increased hepatic Gdf15 production was the major contributor to body-weight loss caused by NAG-Drp1si treatment, as Gdf15 receptor deletion (Gfral KO) prevented the decrease in food intake and mitigated weight loss. NAG-Drp1si activated the Atf4-controlled integrated stress response (ISR) to increase hepatic Gdf15 expression. NAG-Drp1si in healthy mice caused ER stress and activated the mitochondrial protease Oma1, which are the ER and mitochondrial triggers that activate the Atf4-controlled ISR. Remarkably, induction of NASH was not sufficient to activate Oma1 in liver. However, NAG-Drp1si treatment was sufficient to activate Oma1 in adult mice with NASH, as well as exacerbating NASH-induced ER stress. Consequently, NAG-Drp1si treatment in mice with NASH led to higher ISR activation, exacerbated inflammation, fibrosis and necrosis. CONCLUSION: Drp1 mitigates NASH by decreasing ER stress, preventing Oma1 activation and ISR exacerbation. The elevation in Gdf15 actions induced by NAG-Drp1si might represent an adaptive response decreasing the nutrient load to liver when mitochondria are misfunctional. Our study argues against blocking Drp1 in hepatocytes to combat NASH.

Aromatase Inhibitor-Induced Carpal Tunnel Syndrome and Stenosing Tenosynovitis: A Systematic Review.

BACKGROUND: Although aromatase inhibitors are the first-line treatment in postmenopausal women with hormone receptor-positive breast cancer, there is increasing evidence that they can induce carpal tunnel syndrome and stenosing tenosynovitis. This systematic review summarizes the risk factors, incidence, and management for patients with aromatase inhibitor-induced carpal tunnel syndrome and stenosing tenosynovitis compared to tamoxifen or placebo. METHODS: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-guided systematic review of PubMed/MEDLINE, Ovid Embase, and the Cochrane Central Register of Controlled Trials was conducted (to March 19, 2020), supplemented with Google Scholar, Plastic and Reconstructive Surgery, and The Journal of Hand Surgery. Two reviewers independently completed the primary and secondary screens and the quality appraisal. RESULTS: This study reviewed 577 abstracts and included 19 studies. Risk factors for aromatase inhibitor-induced carpal tunnel syndrome or stenosing tenosynovitis included hormone replacement therapy before trial entry, history of musculoskeletal symptoms, age younger than 60 years, prior chemotherapy, and body mass index greater than 25 kg/m2. The incidence can be increased up to 10 times compared to tamoxifen. Patient discontinuation of aromatase inhibitor treatment because of carpal tunnel syndrome and stenosing tenosynovitis was reported. Nonsurgical management led to complete resolution of carpal tunnel syndrome symptoms in up to 67 percent of cases. Although most aromatase inhibitor-induced stenosing tenosynovitis original studies were low quality, all recommended surgical release for symptom resolution. CONCLUSIONS: This study provides current knowledge of the associated risk factors, management options, and quality of literature for aromatase inhibitor-induced carpal tunnel syndrome and stenosing tenosynovitis. Early recognition can prevent self-discontinuation of an aromatase inhibitor and long-term sequelae of poorly treated carpal tunnel syndrome and stenosing tenosynovitis.

Discovery and Optimization of 7-Alkylidenyltetrahydroindazole-Based Acylsulfonamide EP3 Antagonists.

A novel series of 7-alkylidenyltetrahydroindazole-based acylsulfonamides were discovered as potent EP3 antagonists. The initial lead compound 7 exhibited potent in vitro EP3 inhibitory activity and good selectivity against other EP receptors. In addition, compound 7 demonstrated in vivo activity in a rat ivGTT model, reversing the suppressive effect of the EP3-specific agonist sulprostone on glucose-stimulated insulin secretion. Further optimization to improve the pharmacokinetic profile led to the discovery of compounds 26 and 28 with potent in vitro activity and significantly lower in vivo clearance and higher oral exposure than compound 7.

Contribution to the knowledge of Chinese Phasmatodea X: Eight new species of Cnipsomorpha from China (Phasmatidae: Clitumninae: Medaurini).

Eight new species of Cnipsomorpha Hennemann, Conle, Zhang Liu, 2008 are described from China. They are namely, Cnipsomorpha inflexa sp. nov., Cnipsomorpha jinpingensis sp. nov., Cnipsomorpha nigromaculata sp. nov., Cnipsomorpha nigrospina sp. nov., Cnipsomorpha polyspina sp. nov., Cnipsomorpha serratitibia sp. nov., Cnipsomorpha trituberculata sp. nov. and Cnipsomorpha viridis sp. nov. A key to the species and list of the species of Cnipsomorpha are provided.

Optimization of physicochemical properties of pyridone-based EP3 receptor antagonists.

A novel series of pyridone-based EP3 receptor antagonists was optimized for good physical properties and oral bioavailability in rodents. The lead compounds 3h, 3l and 4d displayed good in vitro profiles, moderate to good metabolic stability and good rodent PK profiles with low clearance, high oral exposure and acceptable half-life.

Discovery of a Novel Series of Pyridone-Based EP3 Antagonists for the Treatment of Type 2 Diabetes.

A novel series of pyridones were discovered as potent EP3 antagonists. Optimization guided by EP3 binding and functional assays as well as by eADME and PK profiling led to multiple compounds with good physical properties, excellent oral bioavailability, and a clean in vitro safety profile. Compound 13 was identified as a lead compound as evidenced by the reversal of sulprostone-induced suppression of glucose-stimulated insulin secretion in INS 1E ß-cells in vitro and in a rat ivGTT model in vivo. A glutathione adduction liability was eliminated by replacing the naphthalene of structure 13 with the indazole ring of structure 43.

Analysis of the Spread of COVID-19 in the USA with a Spatio-Temporal Multivariate Time Series Model.

With the rapid spread of the pandemic due to the coronavirus disease 2019 (COVID-19), the virus has already led to considerable mortality and morbidity worldwide, as well as having a severe impact on economic development. In this article, we analyze the state-level correlation between COVID-19 risk and weather/climate factors in the USA. For this purpose, we consider a spatio-temporal multivariate time series model under a hierarchical framework, which is especially suitable for envisioning the virus transmission tendency across a geographic area over time. Briefly, our model decomposes the COVID-19 risk into: (i) an autoregressive component that describes the within-state COVID-19 risk effect; (ii) a spatiotemporal component that describes the across-state COVID-19 risk effect; (iii) an exogenous component that includes other factors (e.g., weather/climate) that could envision future epidemic development risk; and (iv) an endemic component that captures the function of time and other predictors mainly for individual states. Our results indicate that maximum temperature, minimum temperature, humidity, the percentage of cloud coverage, and the columnar density of total atmospheric ozone have a strong association with the COVID-19 pandemic in many states. In particular, the maximum temperature, minimum temperature, and the columnar density of total atmospheric ozone demonstrate statistically significant associations with the tendency of COVID-19 spreading in almost all states. Furthermore, our results from transmission tendency analysis suggest that the community-level transmission has been relatively mitigated in the USA, and the daily confirmed cases within a state are predominated by the earlier daily confirmed cases within that state compared to other factors, which implies that states such as Texas, California, and Florida with a large number of confirmed cases still need strategies like stay-at-home orders to prevent another outbreak.

Early Acute Kidney Injury Following Major Burns.

Acute kidney injury (AKI) early after a major burn has not been widely studied. Our purpose was to evaluate the prevalence of and risk factors for early AKI and the effect of early AKI on outcome. Retrospective cohort study of adults with burns ≥20% TBSA admitted between November 24, 2015 and July 1, 2019. "Early AKI" occurring within 7 days of injury was identified using urine output and serum creatinine Kidney Disease International Global Outcome criteria. Multivariate regression models were developed for development of early AKI, development of AKI on day 0 or 1 postburn ("very early AKI"), and for in-hospital death. Among 85 patients, 62.4% developed early AKI, of which 26% had stage 3 AKI. Renal replacement therapy was required in 64% of stage 3 patients by day 7. Patients with early AKI were significantly older [50 (40.5-61) vs 37.5 (27.2-46.8) years, P < .001], and a significantly greater proportion was intubated in the first 24 hours postburn (90.6 vs 59.4%, P = .001). Resuscitation with high-dose vitamin C (HDVC) was independently associated with more frequent early AKI. Older age was significantly associated and HDVC was closely associated with increased very early AKI. In-hospital mortality was 37.7% for patients with early AKI. Older age, larger burn size, and development of early stage 3 AKI were independently associated with increased in-hospital death. Early AKI is common and carries a poor prognosis for survival. Resuscitation involving HDVC appears to be related to a higher likelihood of early and possibly very early AKI.

Amino acids are sensitive glucagon receptor-specific biomarkers for glucagon-like peptide-1 receptor/glucagon receptor dual agonists.

AIM: The aim of this study was to evaluate amino acids as glucagon receptor (GCGR)-specific biomarkers in rodents and cynomolgus monkeys in the presence of agonism of both glucagon-like peptide-1 receptor (GLP1R) and GCGR with a variety of dual agonist compounds. MATERIALS AND METHODS: Primary hepatocytes, rodents (normal, diet-induced obese and GLP1R knockout) and cynomolgus monkeys were treated with insulin (hepatocytes only), glucagon (hepatocytes and cynomolgus monkeys), the GLP1R agonist, dulaglutide, or a variety of dual agonists with varying GCGR potencies. RESULTS: A long-acting dual agonist, Compound 2, significantly decreased amino acids in both wild-type and GLP1R knockout mice in the absence of changes in food intake, body weight, glucose or insulin, and increased expression of hepatic amino acid transporters. Dulaglutide, or a variant of Compound 2 lacking GCGR agonism, had no effect on amino acids. A third variant with ~31-fold less GCGR potency than Compound 2 significantly decreased amino acids, albeit to a significantly lesser extent than Compound 2. Dulaglutide (with saline infusion) had no effect on amino acids, but an infusion of glucagon dose-dependently decreased amino acids on the background of GLP1R engagement (dulaglutide) in cynomolgus monkeys, as did Compound 2. CONCLUSIONS: These results show that amino acids are sensitive and translatable GCGR-specific biomarkers.

A Computer Vision-Based Roadside Occupation Surveillance System for Intelligent Transport in Smart Cities.

In digital and green city initiatives, smart mobility is a key aspect of developing smart cities and it is important for built-up areas worldwide. Double-parking and busy roadside activities such as frequent loading and unloading of trucks, have a negative impact on traffic situations, especially in cities with high transportation density. Hence, a real-time internet of things (IoT)-based system for surveillance of roadside loading and unloading bays is needed. In this paper, a fully integrated solution is developed by equipping high-definition smart cameras with wireless communication for traffic surveillance. Henceforth, this system is referred to as a computer vision-based roadside occupation surveillance system (CVROSS). Through a vision-based network, real-time roadside traffic images, such as images of loading or unloading activities, are captured automatically. By making use of the collected data, decision support on roadside occupancy and vacancy can be evaluated by means of fuzzy logic and visualized for users, thus enhancing the transparency of roadside activities. The CVROSS was designed and tested in Hong Kong to validate the accuracy of parking-gap estimation and system performance, aiming at facilitating traffic and fleet management for smart mobility.