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- CSI Firms' Survival Analysis1. Define Study Scope Industry scope: Use NACE codes 2611, 2612, and 2620 (manufacture of electronic components, loaded electronic boards, and computer equipment). Population: All Chinese semiconductor SMEs with ≥2 employees. Observation window: 1980–2019. Unit of analysis: Each firm. Outcome of interest: Firm survival duration (registration → deregistration). 2. Retrieve Firm-Level Data Primary Source: National Enterprise Credit Information Publicity System of China (企业信用信息公示系统). Fields: Firm name, registration date, deregistration date, employee size, branch status, accounting type, WOCO membership, and location (city-level geocode). Filter: Keep firms classified under NACE 2611–2620 with “inactive” status by 2019. Derived variable: survival = deregistration_year – registration_year 3. Construct City-Level Variables Merge firm records with city-level institutional and infrastructural data from official statistical sources: Variable Source Computation City Clusters China Statistical Yearbooks (firm counts per city) SMEs per 100,000 population (log-transformed) Science Park Ministry of Science and Technology (MOST) list of National Hi-Tech Parks 1 = presence in city; 0 = none Lead University (985) Ministry of Education of China 1 = city has 985 S&T university; 0 = no FDI Inflow National Bureau of Statistics (NBS) 20-year mean FDI per capita (USD, logged) Law Firms’ Density National Judicial Administration database Law firms per 100,000 population (logged) 4. Create Control Variables Municipality: 1 = Beijing, Shanghai, Tianjin, Chongqing. Industrial Park: 1 = city has national-level industrial park. Branch vs. Independent: 1 = subsidiary or spin-off. WOCO Compliance: 1 = WOCO member firm. LF Consolidation: 1 = local-financial reporting level. Unconsolidated Accounting: 1 = unconsolidated statements. SIC 2611: 1 = core semiconductor manufacturing. Coastal City: 1 = coastal province capital. High-Speed Rail: 1 = connected city (based on China Railway Corp data). Post-BRI Exit: 1 = exit after 2013. Post-Tech-War Exit: 1 = exit after 2016. 5. Merge and Clean the Dataset Merge firm-level and city-level data by city name or administrative code. Drop duplicate firms and outliers with survival > 60 years. Apply log transformation to continuous predictors. Validate variable distributions and correlations (as in Table 2). 6. Verify Model Readiness Conduct VIF diagnostic to ensure no multicollinearity (mean ≈ 1.9 acceptable). Check for proportional hazards violation using Cox PH model. Switch to AFT (Weibull) when proportionality fails. 7. Replicate Statistical Analysis
- Vegetation and soil carbon datasets in arid regions of northwest ChinaThis dataset contains field observation data and environmental variables used for modeling aboveground biomass carbon (AGBC), belowground biomass carbon (BGBC), and soil organic carbon (SOC) in rid regions of northwest China. It includes AGBC, BGBC, SOC, as well as latitude, longitude, and year measured at sampling sites.
- Jais et al., Cell 2016 - FIGURE 7C & DRaw data corresponding to Figures 7C and 7D from Jais et al., Cell (2016), PMID: 27133169. Figure 7C presents the quantification of blood–brain barrier (BBB) permeability in obese APP.PS1-transgenic mice lacking myeloid-derived VEGF. Permeability was assessed by measuring the extravascular accumulation of endogenous immunoglobulin G (IgG). Four experimental groups were analyzed: control animals, APP.PS1-transgenic mice, VEGFΔmyel mice, and VEGFΔmyel/APP.PS1-transgenic mice, all maintained on a high-fat diet (HFD). Figure 7D provides representative confocal images illustrating these findings.
- Sub-hourly Measurements of Room-level Indoor Temperature and Space Heating Power, Including Wood Stove UsageData were collected in three residential buildings in Trondheim, Norway, heated with direct electric panels and a wood stove, as part of the SusWoodStoves research project, which aimed to investigate the influence of wood stove operation on electric power consumption. The dataset is characterized by high resolution in time, space (that is, room level), and the number of recorded physical quantities, allowing for a wide range of investigations related to indoor climate modeling, energy use, and building–grid interaction. Specifically, the dataset includes indoor and outdoor environmental variables such as air temperature, CO₂, TVOC, radon concentrations, and particulate matter; global solar irradiation has been recorded from a meteorological station nearby; electric power is measured for each heat emitter and on the main meter; and the surface temperature of the wood stove is recorded to monitor its operation. Measurements were sampled every 5 minutes, with periods ranging from 2 to 6 months.
- THREE-SCENARIOS EXPERIMENTIBM SPSS-type data and variables file from the three-scenario experiment in the Turret of Oviedo Cathedral 2025
- Inoculated and not bread wheat genotypes: AM fungal alignment_ Pellegrino et al. 2025Alignment of the sequences obtained from the study on the diversity of the arbuscular mycorrhizal fungi (AMF) inside the roots of 11 genotypes of bread wheat inoculated and not inoculated with the AM fungal isolate Rhizophagus irregularis DAOM197198. Number of sequences: 2303 newly generated and
- Salt precipitation-driven rock failure mode transition during CO2 geological sequestrationSalt precipitation has emerged as a critical factor influencing injectivity, reservoir stability, and the risk of induced seismicity in the near-wellbore region during geological CO2 sequestration (GCS). While previous studies have primarily focused on the brine acidification induced by CO2 injection, triggering geochemical reactions in carbonate rocks and leading to mechanical degradation, the mechanical behaviour associated with salt precipitation in drying zones, particularly the fracture mechanisms, remains poorly understood. In this work, we designed a reservoir-condition displacement system to mimic near-wellbore drying progress and further investigated the rock failure modes due to salt precipitation in red sandstone samples. Our study demonstrates that, despite the densification of the pore structure due to salt precipitation, the overall mechanical performance of the rock undergoes significant deterioration. More importantly, for the first time, we observe a distinct transition of failure mode from shear-dominated to extension-dominated under uniaxial compression. Microstructural analysis further shows that the growth of polycrystalline and bulk crystals induces microcrack initiation and propagation, with the failure mechanism of rocks subjected to salt precipitation primarily characterized by intercrystalline damage at weak bonding interfaces under external loading.
- Flat-sheet modelFlatsheet model
- An AI-Driven Framework and Platform for analysing Tenant Feedback for the Housing Sector In collaboration with North Star Housing GroupThe Regulatory Social Housing (RSH) requires landlords of 1,000 or more residential units to collect their tenants' annual Tenant Satisfaction Measures (TSM). This requirement has led to a massive buildup of both qualitative and quantitative structured data within the housing organizations. Traditional quantitative indicators, such as satisfaction scores, often fail to reveal the underlying emotions and complex experiences of tenants. Based on this drawback, the initiative aims to design a modular, automated system for processing, visualization, and analysis of data from tenants.
- The Racing Project - A racing game in Unity with the 3D Model of Christ College (Autonomous) Irinjalakuda“The Racing Project” is an innovative 3D Video game developed from scratch in Unity Game Engine. This Game incorporates multiple technologies and custom C# scripts to facilitate a racing game with high graphical fidelity and features. Our Game features 5 unique levels and 5 Unique cars. The designed 3D model of Christ College(Autonomous) Irinjalakuda is represented in our first level of the game.
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