A New Method for Deriving High-Vertical-Resolution Wind Vector Data from the L-Band Radar Sounding System in China

High-vertical-resolution radiosonde wind data are highly valuable for describing the dynamics of the meso-and microscale atmosphere. However, the current algorithm used in China's L-band radar sounding system for calculating highvertical-resolution wind vectors excessively smooths the data, resulting in significant underestimation of the calculated kinetic energy of gravity waves compared to similar products from other countries, which greatly limits the effective utilization of the data. To address this issue, this study proposes a novel method to calculate high-vertical-resolution wind vectors that utilizes the elevation angle, azimuth angle, and slant range from L-band radar. In order to obtain wind data with a stable quality, a two-step automatic quality control procedure, including the RMSE-F(root-mean-square error F) test and elemental consistency test are first applied to the slant range data, to eliminate continuous erroneous data caused by unstable signals or radar malfunctions. Then, a wind calculation scheme based on a sliding second-order polynomial fitting is utilized to derive the high-vertical-resolution radiosonde wind vectors. The evaluation results demonstrate that the wind data obtained through the proposed method show a high level of consistency with the high-resolution wind data observed using the Vaisala Global Positioning System and the data observed by the new Beidou Navigation Sounding System. The calculation of the kinetic energy of gravity waves in the recalculated wind data also reaches a level comparable to the Vaisala observations.

Vibration properties of Paulownia wood for Ruan sound quality using machine learning methods

As an important material for manufacturing resonant components of musical instruments,Paulownia has an important influence on the sound quality of Ruan.In this paper,a model for evaluating the sound quality of Ruan based on the vibration characteristics of wood is developed using machine learning methods.Generally,the selection of materials for Ruan manufacturing relies primarily on manually weighing,observing,striking,and listening by the instrument technician.Deficiencies in scientific theory have hindered the quality of the finished Ruan.In this study,nine Ruans were manufactured,and a prediction model of Ruan sound quality was proposed based on the raw material information of Ruans.Out of a total of 180 data sets,145 and 45 sets were chosen for training and validation,respec-tively.In this paper,typical correlation analysis was used to determine the correlation between two single indicators in two adjacent pairwise combinations of the measured objects in each stage of the production process in Ruan.The vibra-tion characteristics of the wood were tested,and a model for predicting the evaluation of Ruan’s acoustic qualities was developed by measuring the vibration characteristics of the resonating plate material.The acoustic quality of the Ruan sound board wood was evaluated and predicted using machine learning model generalized regression neural net-work.The results show that the prediction of Ruan sound quality can be achieved using Matlab simulation based on the vibration characteristics of the soundboard wood.When the model-predicted values were compared with the tradi-tional predicted results,it was found that the generalized regression neural network had good performance,achieving an accuracy of 93.8%which was highly consistent with the experimental results.It was concluded that the model can accurately predict the acoustic quality of the Ruan based on the vibration performance of the soundboards.

Quieting the neonatal intensive care unit:A quality improvement initiative

BACKGROUND The neonatal intensive care unit(NICU)is vital for preterm infants but is often plagued by harmful noise levels.Excessive noise,ranging from medical equipment to conversations,poses significant health risks,including hearing impairment and neurodevelopmental issues.The American Academy of Pediatrics recommends strict sound limits to safeguard neonatal well-being.Strategies such as education,environmental modifications,and quiet hours have shown to reduce noise levels.However,up to 60%of the noises remain avoidable.High noise exposure exacerbates physiological disturbances,impacting vital functions and long-term neurological outcomes.Effective noise reduction in the NICU is crucial for promoting optimal neonatal development.AIM To measure the sound levels in a NICU and reduce ambient sound levels by at least 10%from baseline.METHODS A quasi-experimental quality improvement project was conducted over 4 mo in a 20-bed level 3 NICU in a tertiary care medical college.Baseline noise levels were recorded continuously using a sound level meter.The interventions included targeted education,environmental modifications,and organizational changes,and were implemented through three rapid Plan-Do-Study-Act(PDSA)cycles.Weekly feedback and monitoring were conducted,and statistical process control charts were used for analysis.The mean noise values were compared using the paired t-test.RESULTS The baseline mean ambient noise level in the NICU was 67.8 dB,which decreased to 50.5 dB after the first cycle,and further decreased to 47.4 dB and 51.2 dB after subsequent cycles.The reduction in noise levels was 21%during the day and 28%PDSA cycle(mean difference of−17.3 dB,P<0.01).Peak noise levels decreased from 110 dB to 88.24 dB after the intervention.CONCLUSION A multifaceted intervention strategy reduced noise in the NICU by 25%over 4 months.The success of this initiative emphasizes the significance of comprehensive interventions for noise reduction.

Characteristics analyzing and parametric modeling of the arc sound in CO_2 GMAW for on-line quality monitoring

For on-line monitoring of welding quality, the characteristics of the arc sound signals in short circuit CO2 GMAW were analyzed in the time and frequency domains. The arc sound presents a series of ringing-like oscillations that occur at the end of short circuit i. e. the moment of arc re-ignition, and distributes mainly in the frequency band below 10 kHz. A concept of the arc tone channel and its equivalent electrical model were suggested, which is considered a time-dependent distributed parametric system of which the transmission properties depend upon the geometric and physical characteristics of the arc and surroundings, and is excited by the sound source results from the change of arc energy so that results in arc sound. The linear prediction coding （ LPC ） model is an estimation of the tone channel. The radial basis function （ RBF ） neural networks were built for on-line pattern recognition of the gas-lack in welding, in which the input vectors were formed with the LPC coefficients. The test results proved that the LPC model of arc sound and the RBF networks are feasible in on-line quality monitoring.

The effects of increased dietary fiber intake on the self-reported quality of life of school-age children

The aim of this community-based, randomized-controlled prospective nutrition intervention study was to assess the impact of serving high-fiber snacks twice a day to a sample of school-age children on their dietary fiber intake and health-related quality of life (HRQOL) scores. Participants (n = 81) were children aged 7-11 years. Children were randomized to receive two high-fiber snacks per day for eight weeks (intervention) or to continue eating their regular snacks (control). At baseline and post-intervention, usual dietary intake data were collected via repeated 24-hour dietary recalls and HRQOL was assessed using the PedsQL? Pediatric Quality of Life Inventory. Statistical analysis to assess significant changes in dietary intake as well as self-reported quality of life was conducted using two-sided student’s t-tests;significance level was set at p < 0.05. Dietary fiber intake increased significantly by 2.41 grams/day in the intervention group. The mean increase in the physical scale score of the PedsQL from baseline to post-intervention was significantly greater for the intervention as compared to control group. This study indicates that providing high-fiber snacks to elementary-school children can effectively increase dietary fiber consumption and may lead to an improved physical quality of life. Further research is needed regarding the impact of nutrition on health-related quality of life.

Sound Quality of Turn Indicator Sounds-Use of aMultidimensional Approach in the Automotive ProductDevelopment

Vehicle sounds are important factors of customer satisfaction and have a decisive influence on the product automobile andits quality impression. It becomes more and more important to connect customer requirements and technical specifications to developa vehicle sound with high quality. The turn indicator sound can be described as one sound, which gives the customer an importantfeedback of correct function performance and can be seen as one of the sounds, which play a role in the customer＇s perception ofvehicle quality. In a laboratory experimental study, the question was investigated, how a turn indicator sound must be designed to beperceived as pleasant and high-quality. A multidimensional approach was chosen to combine subjective customer assessments,objective psychophysiological responses of the study participants and physical parameters of the sounds. In total, 15 different tumindicator sounds were assessed by 48 subjects. The study shows how the connection of subjective and objective parameters cansupport product development. The multi-dimensional approach helps to derive recommendations for action to improve the soundquality of the product automobile. Also, the study shows a possibility to involve the human factor in a highly technical environment.

Environmental Anthropological Study of Watershed Management‐Water Quality Conservation of Forest as a Catchment Area in the Southern Part of Australia

Authors have conducted an experiment of irradiation using sound waves (frequency) including ultrasonic waves into water such as drinking water, sea water and forest water and wastewater so far. As a result, almost the same effect of improvement of water quality was confirmed for each sound wave. Then, an environmental anthropological study of watershed management based on the sound was carried out assuming that a water quality management using the sound could be possible. The Goulburn River basin in the southern part of Australia in which indigenous peoples (Yorta Yorta) have been concerned with the management for a long time so far was selected as an objective drainage basin this time. As a result, a couple of environmental anthropological perspectives on watershed management were proposed.

Certain Grain Food Patterns Are Associated with Improved 2015 Dietary Guidelines Shortfall Nutrient Intakes, Diet Quality, and Lower Body Weight in US Adults: Results from the National Health and Nutrition Examination Survey, 2005-2010

Objective: The goal of this study was to identify commonly consumed grain food patterns in US adults (≥19 years old;N = 14,384) and compare nutrient intakes, with focus on 2015-2020 Dietary Guidelines’ shortfall nutrients, diet quality, and health parameters of those consuming various grain food patterns to those not consuming grains. Methods: This study conducted secondary analyses of the National Health and Nutrition Examination Survey, 2005-2010. Cluster analysis was used and identified 8 grain patterns: 1) no consumption of main grain groups, 2) crackers and salty snacks, 3) yeast breads and rolls, 4) cakes, cookies, and pies, 5) cereals, 6) pasta, cooked cereals and rice, 7) quick breads, and 8) mixed grains. Results: Adults consuming “cereals”, “pasta, cooked cereals and rice”, and “mixed grains” had a better diet quality compared to no grains. Consuming many, but not all, of the grain food patterns resulted in less saturated fat and lower added sugars. Adults consuming “cereals”, “pasta, cooked cereals and rice” and “quick breads” had greater dietary fiber intake vs. no grains group. Calcium intake was increased in the cereals group, while magnesium intake was greater in adults consuming “cereals” and “pasta, cooked cereals and rice” vs. no grains. Vitamin D (D2 + D3) intake was higher in adults consuming “cereals”, “pasta, cooked cereals and rice”, and “mixed grains” vs. no grain group. Adults consuming “pasta, cooked cereals and rice” had lower body weights (79.1 ± 0.7 vs. 82.5 ± 1.2 kg;P = 0.009) and waist circumference (95.2 ± 0.6 vs. 98.2 ± 1.0 cm;P = 0.004) in comparison to those consuming no grains. Conclusions: Certain grain food patterns are associated with greater 2015-2020 Dietary Guidelines’ shortfall nutrients, better diet quality and lower body weights in adults. Additionally, certain grain food patterns are associated with lower intake of nutrients to limit, including saturated fat and added sugars.

Use of Total Precipitable Water Classification of A Priori Error and Quality Control in Atmospheric Temperature and Water Vapor Sounding Retrieval

This study investigates the use of dynamic a priori error information according to atmospheric moistness and the use of quality controls in temperature and water vapor profile retrievals from hyperspectral infrared （IR） sounders. Temperature and water vapor profiles are retrieved from Atmospheric InfraRed Sounder （AIRS） radiance measurements by applying a physical iterative method using regression retrieval as the first guess. Based on the dependency of first-guess errors on the degree of atmospheric moistness, the a priori first-guess errors classified by total precipitable water （TPW） are applied in the AIRS physical retrieval procedure. Compared to the retrieval results from a fixed a priori error, boundary layer moisture retrievals appear to be improved via TPW classification of a priori first-guess errors. Six quality control （QC） tests, which check non-converged or bad retrievals, large residuals, high terrain and desert areas, and large temperature and moisture deviations from the first guess regression retrieval, are also applied in the AIRS physical retrievals. Significantly large errors are found for the retrievals rejected by these six QCs, and the retrieval errors are substantially reduced via QC over land, which suggest the usefulness and high impact of the QCs, especially over land. In conclusion, the use of dynamic a priori error information according to atmospheric moistness, and the use of appropriate QCs dealing with the geographical information and the deviation from the first-guess as well as the conventional inverse performance are suggested to improve temperature and moisture retrievals and their applications.

Statistical Evaluation and Regression Analysis of Vehicle Sound Quality

A statistical approach to evaluate the subjective perception of the annoyance caused by the vehicle noise was presented in this paper. After recording the noises of Sanfeng, Huali and Xiali at speeds of 30, 40, 50, 60, 70 and 80 km/h respectively, the annoyance of the vehicle noises was evaluated in the testing room using paired comparison method, and the sound quality metrics and subjective annoyance were then distilled. Loudness, sharpness, roughness, periodicity and impulsiveness were selected for each of the vehicle noises. By correlation analysis method, it can be found that loudness has a higher correlation （0.91） with annoyance than other parameters. Meanwhile, sharpness, periodicity, roughness and impulsiveness have correlation with subjective perception with correlation coefficients being 0.84, -0.82, 0.62 and 0.87, respectively. The result of multiple regression analysis shows that calculated annoyance obtained by the regression equation can explain the perceptual annoyance and the regressed evaluation model is feasible to evaluate the sound quality of vehicle.

Sound Quality Prediction of Vehicle Interior Noise under Multiple Working Conditions Using Back-Propagation Neural Network Model

This paper presents a back-propagation neural network model for sound quality prediction (BPNN-SQP) of multiple working conditions’ vehicle interior noise. According to the standards and regulations, four kinds of vehicle interior noises under operating conditions, including idle, constant speed, accelerating and braking, are acquired. The objective psychoacoustic parameters and subjective annoyance results are respectively used as the input and output of the BPNN-SQP model. With correlation analysis and significance test, some psychoacoustic parameters, such as loudness, A-weighted sound pressure level, roughness, articulation index and sharpness, are selected for modeling. The annoyance values of unknown noise samples estimated by the BPNN-SQP model are highly correlated with the subjective annoyances. Conclusion can be drawn that the proposed BPNN-SQP model has good generalization ability and can be applied in sound quality prediction of vehicle interior noise under multiple working conditions.

Evaluation of vibration and sound quality according to battery voltage change while moving a power seat in an automobile forward or backward

The changes in vibration, sound, and sound quality with changes in the driving voltage of a power seat motor from 12.5 to 14.5 V were measured and analyzed, which was used in real vehicles. BSR(buzz, squeak, rattle), which occurs for the power seat mechanism during sliding operation, was also evaluated. In addition, the results were expressed in terms of sound quality metrics, which measure the RPM change and sound level versus voltage to analyze their statistical correlation. Furthermore, vibration measurement and analysis were conducted simultaneously to determine the noisiest conditions and the source of the noise. The changes in RPM and voltage of a motor, in addition to vibration and noise, were measured at the same time to determine how noise, RPM, and voltage are interrelated.

Objective Quantification of Small Motor Sound Quality Based on Psychoacoustic Metrics

With the widespread application of electrification and intelligence of automobiles,the number of electric devices with small DC motors in automobiles has gradually increased,and the in-terior of electric vehicles is quieter.The sound quality(SQ)of small motor directly affects the pas-senger experience.Therefore,the research on the SQ of small motor is of great significance.In this paper,the objective quantification of small motor sound quality was investigated based on tradi-tional psychoacoustic metrics.The time-frequency characteristics of sound signal was analyzed to quantify the subjective perception caused by the sound of small motor.And a new psychoacoustic metrics of objective evaluation which were suitable for small motor SQ evaluation were proposed,namely specific loudness energy(SLE),specific prominence ratio index(SPRI),relative pitch exceedance(RPE)and tremolo index(TI).Then,two objective evaluation models of small motor SQ were established to characterize the multi-dimensional subjective perception attributes by using multiple linear regression(MLR)and support vector regression(SVR)respectively,which can be used for the prediction and evaluation of the small motor SQ.The results show that the prediction accuracy of the model established by SVR method was higher than that of MLR,and SVR has stronger robustness.The objective evaluation model of small motors SQ established in this study is of great importance for improving the sound quality of small motors.

Evaluation of Care Quality Related to Dietary Intake and Swallowing Functions of Residents at Long-Term Facilities in Japan

This study aimed to evaluate the quality of healthcare services pertaining to the dietary intake and swallowing functions of residents, nutrition management practices, and performance of residents at long-term care facilities. We investigated outcome indicators, such as changes in dietary intake and swallowing function levels of residents, and clarified which structural and process indicators were associated with the outcome indicators. This was a retrospective study, analyzing information on healthcare services from 1067 long-term care facilities during the fiscal year 2012, sampled from among those registered with the Welfare, Health and Medical Care Information Network of the Welfare and Medical Service Agency in Japan. Five outcome indicators were identified. Next, we examined the relationships between the outcome indicators and structural or process indicators using a multivariate linear regression model, adjusting for facility type. The findings showed how the five outcome indicators were used in long-term care facilities over a period of one year and determined the independent predictors of these outcome indicators. The amplification of dietary function 1 was associated with “assessment of oral functions using a feeding and swallowing assessment checklist every three months”, “holding care conferences related to ingestion and swallowing every three months”, and “maintaining a 1:2 ratio for meal-time assistants to residents”. To improve the quality of care, it is necessary to increase the number of staff (e.g., to provide meal assistance to residents) and to understand changes in the residents’ status through accurate assessment and monitoring.

Impacts of water quality variation and rainfall runoff on Jinpen Reservoir,in Northwest China

The seasonal variation characteristics of the water quality of the Jinpen Reservoir and the impacts of rainfall runoff on the reservoir were investigated. Water quality monitoring results indicated that, during the stable stratification period, the maximum concentrations of total ni- trogen, total phosphorus, ammonia nitrogen, total organic carbon, iron ion, and manganese ion in the water at the reservoir bottom on September 6 reached 2.5 mg/L, 0.12 mg/L, 0.58 mg/L, 3.2 mg/L, 0.97 mg/L, and 0.32 rag/L, respectively. Only heavy storm runoff can affect the main reservoir and cause the water quality to seriously deteriorate. During heavy storms, the stratification of the reservoir was destroyed, and the reservoir water quality consequently deteriorated due to the high-turbidity particulate phosphorus and organic matter in runoff. The turbidity and concentrations of total phosphorus and total organic carbon in the main reservoir increased to 265 NTU, 0.224 mg/L, and 3.9 mg/L, respectively. Potential methods of dealing with the water problems in the Jinpen Reservoir are proposed. Both in stratification and in storm periods, the use of measures such as adjusting intake height, storing clean water, and releasing turbid flow can be helpful to safeguarding the quality of water supplied to the water treatment plants.

A Sound Quality Objective Evaluation Method Based on Auditory Peripheral Simulation Model

Based on auditory peripheral simulation model, a new Sound Quality Objective Evaluation (SQOE) method is presented,which can be used to model and analyze the impacts of head, shoulder and other parts of human body on sound wave trans-mission.This method employs the artificial head technique, in which the head related transfer function was taken into account tothe outer ear simulation phase.First, a bionic artificial head was designed as the outer ear model with considering the outersound field in view of theory and physical explanations.Then the auditory peripheral simulation model was built, which mimicsthe physiological functions of the human hearing, simulating the acoustic signal transfer process and conversion mechanismsfrom the free field to the peripheral auditory system.Finally, performance comparison was made between the proposed SQOEmethod and ArtemiS software, and the verifications of subjective and objective related analysis were made.Results show thatthe proposed method was economical, simple, and with good evaluation quality.

The effect of noise exposure on sleep quality of urban residents:A comparative study in Shanghai,China

Noise exposure is becoming extremely common in urban area,but its specific impact on sleep remains controversial.Considering the limitations of previous researches,a field study which can conduct both horizontal and longitudinal analysis was designed.Urban participants were tested during two weeks in their homes,and the noise level of bedroom was artificially regulated by changing the status of window and door.During the 1050 test nights in 75 households,noise exposure was reflected from both instrument monitoring at night and perception questionnaire in the morning,and sleep quality was accessed from actigraphy and questionnaire.The analysis results showed that,92.3%of the bedroom acoustic environment did not meet the minimum requirements of Chinese standards,and 87.9%of subjects had ever experienced harmful noise during the test period.Furthermore,sleep quality was affected by noise exposure from the perspective of both physiological and psychological;the duration of rapid eye movement(REM)sleep was significantly(p<0.05)shortened with the increase of sound intensity,the duration of deep sleep shortened and subjective sleep quality worsened significantly(p<0.05)with the increase of acoustic sensation vote.In addition,females were more sensitive to noise exposure and their subjective sleep quality was more likely to be influenced by emotions.This study has important implications for acoustic environment design of bedrooms in cities,and suggested more attention should be paid to the anxiety caused by noise exposure.

Rice Consumption Is Associated with Better Nutrient Intake and Diet Quality in Adults: National Health and Nutrition Examination Survey (NHANES) 2005-2010

Objectives: The goal of this study was to determine the association of rice consumption with nutrient intake and diet quality in a recent nationally representative sample of US adults. Methods: NHANES data (2005-2010) were used to assess the association of rice consumption by adults (19+ yrs;N = 14,386) with nutrient intake and diet quality. 24-hour dietary intakes were used to calculate usual intake (UI) of rice consumption using the National Cancer Institute methodology. Rice consumption groups were 0.25 to 0.5 to <1.0, and >1.0 oz. eq. of UI of rice. Diet quality (using the Healthy Eating Index-2005 [HEI-2005]) was calculated. Covariate adjusted least square means ± SE were determined and quartile trends across the rice consumption categories were examined. Results: Significant (p < 0.001) positive trends (β coefficient across rice consumption categories) were seen for sodium (118.99 mg), dietary fiber (0.57 g), folate (58.24 μg DFE), magnesium (11.83 mg), iron (0.97 mg) and potassium (29.45 mg). Significant negative trends (p < 0.0001) were seen for intakes of saturated fatty acids (-1.75 g), added sugars (-1.31 g);and calcium (-40.46 mg). HEI-2005 also showed a positive trend (p < 0.0001) with rice consumption (5.5 points). HEI-2005 component scores for total fruit (0.07), whole fruit (0.11), dark green/orange vegetables (0.25), total grains (0.10), meat/beans (0.24), and oils (0.15) were higher (p < 0.01) in rice consumers than non-consumers. HEI-2005 component scores for saturated fatty acids (0.63), solid fats, added sugars, and alcohol (1.22) were higher suggesting more favorable intake, but sodium (-0.24) was lower. Conclusion: Overall, consumption of rice should be encouraged to improve nutrient intake and diet quality. Nutrition education can provide ways to reduce sodium added to rice dishes.

Effects of Potassium Fertilizer on Water-Soluble Carbohydrate Content of Timothy (<i>Phleum pratense</i>L.), Silage Fermentation, Nutritive Values, and Nutrient Intake

The objective of this study was to examine the effects of potassium fertilizer (standard (S) and high (H) levels) on water-soluble carbohydrate (WSC) content of timothy (Phleum pratense L.), silage fermentation, nutritive values, and nutrient intake. The silage treatments were as follows: S level without inoculant (SC), S level plus inoculant (SI), H level without inoculant (HC), and H level plus inoculant (HI). The K content was increased by 14.5% in timothy grown with the H level compared with the S level. The WSC contents of the S and H treatments were 75.9 and 66.1 g·kg-1 dry matter (DM), respectively. The silage fermentation quality was low with both SC and HC treatments. The addition of inoculant significantly improved the fermentation quality in SI and HI treatments. The addition increased the DM and organic matter digestibilities of silage. The total digestible nutrient (TDN) content of silage was highest with the HI treatment. The DM, TDN, and digestible energy intakes with the SI and HI treatments were improved compared with the SC and HC treatments, respectively. This study demonstrated negligible effects of K fertilizer levels and significant effects of the lactic acid bacteria inoculant on the fermentation quality, nutritive values, and feed intake of silage.

Impact on dietary intake of a self-directed, gender-tailored diabetes prevention program in men

AIMTo investigate changes in dietary intake following a 6-mo randomised controlled trial of the self-directed, gender-tailored type 2 diabetes mellitus (T2DM) Prevention Using LifeStyle Education (PULSE) program in men. METHODSMen aged 18-65 years, with a body mass index (BMI) 25-40 kg/m2, and at high risk for developing T2DM were recruited from the Hunter Region of New South Wales, Australia. Eligible participants were randomised into one of two groups: (1) waitlist control; or (2) PULSE intervention. Dietary intake was assessed at baseline and immediately post-program using the Australian Eating Survey food frequency questionnaire and diet quality measured using the Australian Recommended Food Score (ARFS). RESULTSOne hundred and one participants (n = 48, control; n = 53, intervention, mean age 52.3 ± 9.7 years, BMI of 32.6 ± 3.3 kg/m2) commenced the study. Following the active phase, differences between groups were observed for proportion of total energy consumed from healthful (core) foods (+7.6%EI, P < 0.001), energy-dense, nutrient-poor foods (-7.6%EI, P < 0.001), sodium (-369 mg, P = 0.047), and diet quality (ARFS) (+4.3, P = 0.004), including sub-scales for fruit (+1.1, P = 0.03), meat (+0.9, P = 0.004) and non-meat protein (+0.5, P = 0.03). CONCLUSIONThe PULSE prevention program’s nutrition messages led to significant improvements in dietary intake in men at risk of T2DM.