Universal Index Formula of Parameterized Combination Operator for Eco-environmental Quality Evaluation

[Objective] The aim was to evaluate the regional eco-environmental quality by using the universal index formula of parameterization combination operator based normalized index values.[Method] Through setting reference values and normalized transformation formulae for typical ecological environmental indexes appropriately,the difference among the standard normalized values would become very small after normalized transformation,and the ecological environmental indices expressed by normalized values can be equivalent to normalized indices.Under certain optimization conditions,shuffled frog leaping based on immune evolutionary particle swarm optimization algorithm was applied to optimize the parameters in parameterization combination operator formula,and the universal index formula suited to eco-environmental quality assessment was established finally.[Result] The universal index formula of parameterization combination operator,appropriate for any m(1≤m≤23) ecological environmental indices,was used to assess the eco-environmental quality of towns surrounding Headland Reservoir,and the results were in full accordance with those of unascertained measure method,that is,the eco-environmental quality of five towns around Headland Reservoir was the fourth grade.[Conclusion]The universal index formula of parameterization combination operator,suited to eco-environmental quality evaluation,is simple and intuitive in form,easy in computation and universal in application.

Outdoor Universal Thermal Comfort Index Climatology for Alaska

Data from 456 surface meteorological sites in Alaska, eastern Russia and northwest Canada for 1979-2017 were used to model hourly universal thermal comfort indices (UTCIs) under consideration of Alaska-appropriate clothing. The results served to determine a high-resolution climatology of thermal comfort levels for Alaska at various temporal and spatial scales as well as the frequency of thermal stress levels. On 1979-2017 average, various degrees of cold stress occurred with highest percentage on the Alaska West Coast and along the Arctic Ocean. In the continental and Inside Passage region, no thermal stress had the highest percentage of occurrence. In Interior Alaska, both strong heat and extreme cold stress occurred occasionally. At most sites and in all Alaska Köppen-Geiger bio-climate regions, the absolute range between monthly means of daily minimum and maximum UTCIs was larger than that of monthly means of daily minimum and maximum air temperatures. Major contributors to thermal discomfort (shortwave radiation, air temperature, moisture, wind speed) varied among bio-climate regions and in the diurnal and annual courses.

Pain Efficacy of a Home-Based Low-Intensity Continuous Ultrasound Stimulator for Knee Arthritis: A Single-Arm, Open-Label, Prospective Clinical Trial

1) Background: Osteoarthritis (OA) is defined as a degenerative joint disease that mainly affects the bone. This study aims to evaluate the effect of low-intensity continuous ultrasound (LICUS) treatment on the knee of osteoarthritis patients through home-based intervention using the LICUS medical device. 2) Methods: The clinical trials were designed in a single-arm, open-label, and intervention study. Thirty-five participants, including those who dropped out (12%), were screened and enrolled. The patients received LICUS (1.1 MHz, 1.5 W/cm2, collimated beams) on the knee by the instructions of the investigator at home (5 min/session, 3 times/day, for four-weeks). Outcome measures were assessed using the Visual Analog Scale (VAS) as a primary endpoint and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) as a secondary endpoint to evaluate pain relief and functional recovery of the knee between pre-treatment (baseline) and post-treatment (four-weeks). 3) Results: Knee pain scores measured using the VAS and WOMAC indices were significantly reduced after a four-week treatment with LICUS compared to baseline. Knee stiffness and functional capacity were significantly reduced after the LICUS application. In addition, there were no reports of adverse effects during the study period. 4) Conclusion: Long-term and home-based application of LICUS can be recommended as an alternative option for the treatment of OA patients, as evidenced by the effect of pain relief and knee function recovery.

Adjunctive platelet-rich plasma and hyaluronic acid injection after arthroscopic debridement in Kellgren-Lawrence grade 3 and 4 knee osteoarthritis

BACKGROUND Osteoarthritis(OA)is the most common cause of pain and disability,predominantly affecting the knee.The current management of knee OA falls short of completely stopping disease progression,particularly in Kellgren-Lawrence(KL)grade 3 and 4 knee OA.As such,joint replacement is often recommended,although only 15%-33%of candidates accept it.Alternative therapeutic options are still needed to prevent the progression of joint damage and delay the need for knee arthroplasty.AIM To investigate the effect of adjunctive platelet rich plasma(PRP)and hyaluronic acid(HA)after arthroscopic debridement in KL grade 3 and 4 knee OA.METHODS This retrospective cohort study used the Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)score and WOMAC sub-scores(pain,stiffness,and function)to assess 21 patients,grouped according to medical record data of treatment received:Arthroscopic debridement(n=7);arthroscopic debridement with PRP(n=7);or arthroscopic debridement with HA(n=7).WOMAC scores and sub-scores at baseline and at 3 mo and 5 mo posttreatment were recorded.The three-group data were statistically analyzed using the tests of paired t,one-way analysis of variance,and post hoc least significant difference.RESULTS All three treatment groups showed significant improvements in WOMAC score and sub-scores from before treatment to 3 mo and 5 mo after treatment.However,the arthroscopic debridement with PRP treatment group,in particular,showed a significantly lower WOMAC pain score than the group who received arthroscopic debridement alone at 5 mo after the procedure(P=0.03).CONCLUSION Compared to arthroscopic debridement alone,adjunctive PRP after arthroscopic debridement significantly lessened the patients’pain symptom.

Denoising Letter Images from Scanned Invoices Using Stacked Autoencoders

Invoice document digitization is crucial for efficient management in industries.The scanned invoice image is often noisy due to various reasons.This affects the OCR(optical character recognition)detection accuracy.In this paper,letter data obtained from images of invoices are denoised using a modified autoencoder based deep learning method.A stacked denoising autoencoder(SDAE)is implemented with two hidden layers each in encoder network and decoder network.In order to capture the most salient features of training samples,a undercomplete autoencoder is designed with non-linear encoder and decoder function.This autoencoder is regularized for denoising application using a combined loss function which considers both mean square error and binary cross entropy.A dataset consisting of 59,119 letter images,which contains both English alphabets(upper and lower case)and numbers(0 to 9)is prepared from many scanned invoices images and windows true type(.ttf)files,are used for training the neural network.Performance is analyzed in terms of Signal to Noise Ratio(SNR),Peak Signal to Noise Ratio(PSNR),Structural Similarity Index(SSIM)and Universal Image Quality Index(UQI)and compared with other filtering techniques like Nonlocal Means filter,Anisotropic diffusion filter,Gaussian filters and Mean filters.Denoising performance of proposed SDAE is compared with existing SDAE with single loss function in terms of SNR and PSNR values.Results show the superior performance of proposed SDAE method.

Changes in thermal comfortable condition in the Qinghai‒Tibet Plateau from 1979 to 2020

Qinghai‒Tibet Plateau(QTP)is one of the most sensitive regions to climate change in the world.As a result,people in the QTP are more likely to be sensitively affected by climate change than those in other regions,particularly in the poverty area.Using the Universal Thermal Climate Index(UTCI)derived from ERA5 and population data,changes in annual thermal comfort condition and population under such condition in the QTP are systematically analyzed.The results reveal that there is considerable regional heterogeneity in the distribution of UTCI and the number of comfortable days(CDs),mainly due to the complex geographic features.In most areas of the QTP,the increase in UTCI leads to an increased number of comfortable days.Spatial distribution and temporal change in the number of comfortable days are found to be principally related to altitude.In areas within altitudes of 3000–4500 m,the number of comfortable days increases by up to 6 d per decade,which is faster than that in higher elevation areas above 4500 m.Results also indicate that thermal comfortable condition has improved in areas of 2500–5000 m(medium to high altitude),particularly in spring and autumn.Further research indicates that population distribution also shows a regional clustering feature,with the majority of residents residing in cities and their vicinities,where a higher number of comfortable days were observed.Most areas with a greater number of comfortable days have experienced a more significant increase in population under thermal comfortable conditions.It implies that climate change more likely has a large influence on population in the QTP.These findings are expected to enhance tourism development and the assessment of the impact on the living environment.The findings can be helpful for optimizing of tourism development and better understanding how climate change affects population distribution.