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Especially, the mostly risk perception was privacy risk, that is, data confidentiality and individual privacy.
The data were collected using in-person interviews between July 1 and September 30, 2009.
The most important risk perception of using the telecare system was data confidentiality (93.8%), followed by individual privacy (93.2%).
With respect to risk perceptions of the telecare system, the highest scoring item was data confidentiality, followed by individual privacy.
Firstly, the content validity and reliability of the self-designed questionnaire have not been tested so that the data may not be highly reliable.

A significant reduction of the lighting load will in most cases result in lower illuminances and might therefore have a negative influence on the occupants’ visual comfort.
These measurement was estimated illuminance automatically and continually per second in few days or two weeks until obtaining the datas of 3 kinds of weather in each office.
Correlation coefficient Correlation coefficient analysis was run on the data using SPSS.
[5] Akashi Y, Boyce P., A field study of illuminance reduction, Energy and Buildings, 2006; 38(6):588-99

The optical imaging module is interfaced with a RF communication unit, consisting of a base-band IC and antenna, to enable wireless transmission of dynamic image data to an external data processing and visualization unit.
The present capsule endoscopes carry a lower resolution image module (320 x 320) and frame rate (3fps), as per the available product data sheet in the public domain.
Image sensor is programmed for 9 bit RGB Bayer data output format.
It supports scalable data rate from 1Mbps to 15Mbps.
Further reduction in the power requirements can be met by operating the image module in pulsed mode.

According to the rising requirement for energy saving and emission reduction, forest biomass power generation will be the important way to reduce CO2 emission in the future.
This article extracts basic data from forest biomass direct-fired power generation projects of Naiman Banner in Inner Mongolia, and the environmental cost incurred during the power generation process is calculated.
According to the data information from the demonstration project of forest biomass power generating station,its main pollutants emission situation is reflected, as the following Table 3 shows: Table 3 Emission results of ambient air pollutants in the projects Projects Units 2×12MW SO2 Emission （t/h） 0.0328 NOX Emission （t/h） 0.078 Fume Emission （t/h） 0.000267 SO2 Emission Concentration （mg/Nm3 dry flue gas） 253 NOX Emission Concentration （mg/Nm3 dry flue gas） 200 Fume Emission Concentration （mg/Nm3 dry flue gas） 2.1 Data sources: Chinese Forest Biomass Energy Generation Special Research Reports FOR Mid-And-Long Term Plans After the treatment of dust removal system, all emitted pollutants can meet the emission requirements of “emission standards for thermal power plants on atmospheric pollutants”.
Table 4 Emission allowance for ambient air pollutants Projects Units Actual Emission Allowance Proportion（%） SO2 Emission （t/h） 0.0328 1.169 2.8 本 Q SO2 Emission Concentration （mg/Nm3 ） 253 800 31.6 NOX Emission Concentration （mg/Nm3 ） 200 450 44.5 Fume Emission Concentration （mg/Nm3 ） 2.1 200 1.1 Data sources: Chinese Forest Biomass Energy Generation Special Research Reports For Mid-And-Long Term Plans It can be seen from the above table that, all emission concentration data in the demonstration project of forest biomass power generating station can meet the requirements.
Moreover, the emission concentration data of SO2 and fume are far below the allowance, and the emissions are also at low level.

Also, further increase in the CN inhibitor to 3.13% concentration showed greater improvement in shielding the steel samples, which likewise led to further reduction in corrosion rate to a greater extent by retarding the corrosion attack via surface coverage.
Table 3 WL data for 316L steel in 5 M HCl and CN after 504 h Samples C (%) WL (g) CR (mm/y) IE (%) Control - 2.993 x 10-1 6.62 x 10-3 - 1 0.63 1.206 x 10-1 3.51 x 10-3 65.98 2 1.25 1.018 x 10-1 2.25 x 10-3 79.35 3 1.88 7.320 x 10-2 1.36 x 10-3 81.19 4 2.50 4.370 x 10-2 1.02 x 10-3 89.26 5 3.13 2.680 x 10-2 8.7 x 10-4 93.71 Table 4 WL data for 316L steel in 5 M H2SO4 and CN after 504 h Samples C (%) WL (g) CR (mm/y) IE (%) Control - 3.237 x 10-1 8.33 x 10-3 - 1 0.63 2.829 x 10-1 6.24 x 10-3 68.56 2 1.25 2.694 x 10-1 5.01 x 10-3 70.53 3 1.88 2.281 x 10-1 4.15 x 10-3 76.98 4 2.50 1.793 x 10-1 3.49 x 10-3 81.47 5 3.13 1.482 x 10-1 2.28 x 10-3 89.66 Fig.1 Representation of CN concentration and corrosion rate for HCl solution Fig. 2 Representation of CN concentration and corrosion rate for H2SO4 solution Fig. 3 Variation of IE (%) against CN Concentration for HCl solution Fig. 4 Variation of IE (%) against CN Concentration for H2SO4 solution Fig. 5 Slope of Cθ against
Oladimeji, Data on the corrosion Inhibition Property of Rosemary on High Carbon Steel in dilute sulphuric acid, citric acid and sodium chloride solution, Chemical Data Collections. 32 (2021)
Hassan, Data from Chemical, electrochemical and quantum chemical studies for interaction between Cephapirin drug as an eco-friendly corrosion inhibitor and carbon steel surface in acidic medium, Chemical Data Collections. 22 (2019)
Olanrewaju, Comparative assessment and statistical data of admixed rosemary and castor oil on the corrosion inhibition of high carbon and P4 low carbon mold steels, Materials Today: Proceedings. (2021) 1-6 [31] H.

Market economy stimulates drop forges to produce forged pieces of highest quality and dimension precision with the accent on reduction in production costs.
a) Prism-shaped semi-product b) Semi-product of ideal forging blank Fig. 2 Semi-product models Fig. 3 Model of forging tool For starting a simulation of forging of forged piece Lever it is necessary to properly define the input data – these data were set as follows: · Process: closed die forging · Forging machine: mechanical press · Material of semi-product: Magnesium T=200-400°C · Material of tool: ASTM A 681 (H13) · Temperature of semi-product: 400 °C · Temperature of tool: 250 °C · Coefficient of friction: 0.2 Fig.4 Numeric simulation of forging process in closed die cavity Demonstrative example of initiation and termination of forging simulation of Mg alloy type AZ31B in closed die at selected technological conditions shows Fig. 4.

A large number of wheel profile data and turning repair data were acquire by the research of Wuhan railway bureau on CRH2.
The information of two typical wheel wear data was shown in table 1.
Treating by Eq. 2 and Eq. 3, Dw and Hw were obtained from measured data.
The information of the two typical wheel wear data Turning repair time Mileage [km] Average mileage [km/day] Extreme value statistics [mm] Nominal wheel diameter Flange thickness Data 1 2012.1.6 2012.5.23 938935-1185413 1 786 847.8-852.6 28.6-31.8 Data 2 2011.12.24 2012.5.21 982764-1 193044 1 411 845.5-851.4 29.4-32.1 a) Data 1 b) Data 2 Fig. 2.
Frank Copula was used to describe the correlation of data 1.

A survey will be carried out on various parameters and the data collected will be demonstrated at the end of the study.
Transportation surveys UTHM has provided 400 bicycles for the students to use around the campus as to encourage the reduction of carbon emissions within its campus.

Thus, a combined model with BPNN and GA is proposed for parameters optimization and contributes to reduction of decision time of input parameter for reflow soldering profile.
The setting ranges of the other influential parameters are given in Table 1. 92 sets of data obtained from plant are used for network model training and testing.
Among them, 84 sets of data are used for training and the rest 8 sets of data are used for testing.
The data are shown in Table 3.

Data were collected from 462 farmers, 108 middlemen, and 17 processors.
The data were analyzed by descriptive statistics, cost analysis, and marketing channel analysis.
A total of 462 farmers were selected based on their willingness to participate, which involved providing financial and yield data.
The study also utilized secondary data from government sources.
Data analyses included descriptive analysis, cost analysis, and marketing channel analysis.