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A 3D chiral metallosalen-based MOF [Cd2(Cu(salen))(DMF)3]·DMF·3H2O with an 1D open channel was synthesized then transferred to [Cd2(Cu(salen))(DMF)3]·DMF·3H2O (3) upon post-reduction by NaBH4.
The synthesized RuIII/salen MOFs underwent the actuation of a MOF catalyst through a reversible single-crystal to single crystal reduction process.
The reduction of the RuII CMOFs had high active for the asymmetric cyclopropanation of substituted alkenes (Scheme 7) with high dr and ee values.
Besides, nearly all the datas reported currently are based on short-term, small scale tests.
M.; Wang, C.; Liu, S.; Lin, W., Actuation of asymmetric cyclopropanation catalysts: reversible single-crystal to single-crystal reduction of metal-organic frameworks.

Advantages of photovoltaic (PV) systems employed for harnessing solar energy are reduction of greenhouse gas emission, low maintenance costs, fewer limitations with regard to site of installation and absence of mechanical noise arising from moving parts.
Sakai, Prediction-data-based maximum-power-point-tracking method for photovoltaic power generation systems.
Sakai, Prediction-data-based maximum-power-point-tracking method for photovoltaic power generation systems.

In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Power sensor used in this system transmits 5byte type data according to network protocol to monitor program.
Connected Zigbee sink in USB port and transmit data to monitoring server using in/output.
As shown in diagram below, data inflows in every 10 second, total data gather at 6 second and monthly data compared using virtual sequencing.
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.

The escalating levels of atmospheric carbon dioxide (CO2) emissions and the consequential threat of global warming necessitate urgent measures for CO2 reduction.
From the data obtained, we will be able to conclude how the effect of activating materials and activation temperatures varies on the characteristics of palm empty fruit bunch charcoal adsorbents, thereby determining the most effective variation for producing the highest surface area of palm empty fruit bunch charcoal as CO2 adsorbent candidate.
Experiment Layout Run Number Reagents Temperature 1 KOH 180 ℃ 2 KOH 200 ℃ 3 KOH 220 ℃ 4 Urea 180 ℃ 5 Urea 200 ℃ 6 Urea 220 ℃ 7 KOH + Urea 180 ℃ 8 KOH + Urea 200 ℃ 9 KOH + Urea 220 ℃ Source: Data Processed, 2023 Result and Discussion a) FTIR Analysis IR spectra show that all samples have peaks in the absorption region 3000 - 3500 cm-1 [11].
From the data and analysis above, it is evident that the higher the activation temperature, the stronger the intensity of the absorption peak in the sample for the constituent chemical structures.

Previously, devices had to be fully manufactured to effectively gauge the impact of a reduction in extended defect densities in the epitaxial layers on device yield.
This paper presents a method to correlate extended defect data of homo-epitaxial layers with the corresponding electrical yield of Trench-MOSFETs.
The defect characterization on structured wafers allowed for a local precision of up to 5 µm, which was crucial to correlate this data to electrical tests.
Improving and verifying the defect-based yield prediction with higher statistics of electrical device data on wafer level as well as further refined defect classes will be the subject of future investigations.

Besides, design logic is clarified and how the data are analysed by statistical means.
Data Collection To ensure the research quality of the research design, the questionnaires, and the data to be collected, a pre-test is to be conducted at some local universities.
Considering the large sample size, the voluminous data collected, and the complex calculation, statistical software such as SPSS is to be employed for conducting data analysis.
Similarly, five point Likert Scale questionnaires are designed for data collection.
To cope with the complicated determinants, Factor Analysis is to be considered for data reduction before analyzing the data collected.

The experimental results were used in numerical example using FAARFIELD program to explore the airfield pavement thickness reduction resulted from polypropylene fiber incorporation.
Using the FAARFIELD program with the input data presented above and modulus of rupture value of 3.9 MPa, the required thickness for concrete airfield pavement was 500.6mm.
Using the FAARFIELD program with the input data presented in previously and modulus of rupture value of 4.97MPa, the required thickness for concrete airfield pavement was 409.4 mm.

The data showed that these novel sandwich structures exhibit excellent energy-absorbing characteristics under high-velocity impact loading conditions.
The innovations in the composite area have allowed significant weight reduction in structural design.

The existing experimental data on the behavior of TRM materials (used as externally bonded reinforcement on masonry – or concrete – substrates) under elevated temperatures still remains scarce.
This work aims at enriching the existing data on the influence of elevated temperatures on the TRM-to-masonry bond conditions.
In the case of lightweight mortar, the textile-to-matrix bond is more severely damaged by the heating effect (reasoning given in the next paragraph) and, hence, the contribution of friction due to textile slippage cannot compensate for the reduction of bond capacity.

Since, the behavior of a reinforced concrete structure in fire conditions is governed by the properties of the constituent materials, concrete and steel, an elevation temperature can result in a considerable reduction on load carrying capacity of reinforced concrete structures.
The mechanical properties of concrete for each elevated temperature namely 20, 400, 600 and 800°C as the input data for analysis can be determined from section 3.2.