Impacts of forest plantation programs on sectoral CO_(2) emissions regionally in New Zealand

Investing in projects that support environmental benefits,such as tree harvesting,has the potential to reduce air pollution levels in the atmosphere in the future.However,this kind of investment may increase the current level of emissions.Therefore,it is necessary to estimate how much the policy affects the current level of CO_(2) emissions.This makes sure the policy doesn’t increase the level of CO_(2) emis-sions.This study aims to analyze the effect of the One Bil-lion Trees program on CO_(2) emissions in New Zealand by employing the 2020 input–output table analysis.This inves-tigation examines the direct and indirect effects of policy on both the demand and supply sides across six regions of New Zealand.The results of this study for the first year of plantation suggest that the policy increases the level of CO_(2) emissions in all regions,especially in the Waikato region.The direct and indirect impact of the policy leads to 64 kt of CO_(2) emissions on the demand side and 270 kt of CO_(2) emis-sions on the supply side.These lead to 0.19 and 0.74%of total CO_(2) emissions being attributed to investment shocks.Continuing the policy is recommended,as it has a low effect on CO_(2) emissions.However,it is crucial to prioritize the use of low-carbon machinery that uses fossil fuels during the plantation process.

Isolated segmental,sectoral and right hepatic bile duct injuries

The treatment of isolated segmental, sectoral and right hepatic bile duct injuries is controversial. Nineteen patients were treated over a 26-year period. Group one was comprised of 4 patients in whom the injury was primarily repaired during the original surgery; 3 over a T-tube, 1 with a Roux-en-Y. These patients had an uneventful recovery. The second group consisted of 5 patients in whom the duct was ligated; 4 developed infection, 3 of which required drainage and biliary repair. Two patients had good long-term outcomes; the third developed a late anastomotic stricture requiring further surgery. The fourth patient developed a small bile leak and pain which resolved spontaneously. The fifth patient developed complications from which he died. The third group was comprised of 4 patients referred with biliary peritonitis; all underwent drainage and lavage, and developed biliary fistulae, 3 of which resolved spontaneously, 1 required Roux-en-γ repair, with favorable outcomes. The fourth group consisted of 6 patients with biliary fistulae. Two patients, both with an 8-wk history of a fistula, underwent Roux-en-γ repair. Two others also underwent a Roux-en-γ repair, as their fistulae showed no signs of closure. The remaining 2 patients had spontaneous closure of their biliary fistulae. A primary repair is a reasonable alternative to ligature of injured duct. Patients with ligated ducts may develop complications. Infected ducts require further surgery. Patients with biliary peritonitis must be treated with drainage and lavage. There is a 50% chance that a biliary fistula will close spontaneously. In cases where the biliary fistula does not close within 6 to 8 wk, a Roux-en-γ anastomosis should be considered.

Decomposition Analysis of Sectoral Energy Use in Beijing (1981-2005) Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005.Sectoral energy use was investigated when regional economic structure changed significantly.The changes of total primary energy consumption in Beijing are decomposed into production effects,structural effects and intensity effects using the additive version of the logarithmic mean Divisia index (LMDI) method.Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect fol- lowed by the intensity effect,and the structural effect was rela- tively insignificant.The total and production effects were all posi- tive.In contrast,the structural effect and intensity effect were all negative.Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption (TPEC) was to reduce the production of the energy-intensive industrial sectors and improving industrial en- ergy intensity.The results show that in this period,Beijing's economy has undergone a transformation from an industrial to a service economy.However,the structures of sectoral energy use have not been changed yet,and energy demand should be in- creasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak.As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered:agriculture, industry and service.However,further decomposition into secon- dary and tertiary sectors is definitely needed for detailed investi- gations.

Fatal cases of animal-mediated human rabies: Looking beyond sectoral prism to One Health

This issue of Asian Pacific Journal of Tropical Medicine has published a case report[1].This report detailed an atypical fatal case of fox-mediated human rabies.It once again reemphasized the importance of zoonotic disease transmission by animals(including wildlife),and a need to look introspectively in order to consider innovative solutions aimed at reducing the burden of zoonoses.Rabies continues to significantly impact human lives.

The aggregate and sectoral time‑varying market efficiency during crisis periods in Turkey:a comparative analysis with COVID‑19 outbreak and the global financial crisis

This study aims to examine the time-varying efficiency of the Turkish stock market’s major stock index and eight sectoral indices,including the industrial,financial,service,information technology,basic metals,tourism,real estate investment,and chemical petrol plastic,during the COVID-19 outbreak and the global financial crisis(GFC)within the framework of the adaptive market hypothesis.This study employs multifractal detrended fluctuation analysis to illustrate these sectors’multifractality and short-and long-term dependence.The results show that all sectoral returns have greater persis-tence during the COVID-19 outbreak than during the GFC.Second,the real estate and information technology industries had the lowest levels of efficiency during the GFC and the COVID-19 outbreak.Lastly,the fat-tailed distribution has a greater effect on multifractality in these industries.Our results validate the conclusions of the adaptive market hypothesis,according to which arbitrage opportunities vary over time,and contribute to policy formulation for future outbreak-induced economic crises.

The Equivalent Parameters for the Narrow Series Slot on a Sectoral Waveguide

The exact and approximate expressions for the field components of the TE modes in a sectoral waveguide are presented. Using the equivalence principle, the electric field distribution on the aperture surfaces of a narrow transverse slot cut in the curved broad wall of a sectoral waveguide is solved by the moment method (Galerkin's method). lmportant results such as the scattering parameter, the normalized equivalent series impedance, the resonant resistance and resonant length are studied.

Sectoral Features of the Tenir-Too Mountains

For the first time, the separating issues of the Tenir-Too mountains into sectors in contrast to the accepted schemes of physical geography as a province and sub-province were discussed. Since the term province is more acceptable in political science than in physical geography, the main factors in the process of sector formation were determined. The purpose of this article is not only to describe the high altitudes of the Tenir-Too mountains, but theoretically substantiate their formation, ecological and genetic features, and distribution patterns. Until today the Tenir-Too mountain area is not divided into sectors and subsectors with significant changes to the stencil scheme, which has been used to date in the physical geographical zoning. Research methods in this work are based on the recent study materials collected from meteorological stations of Tenir-Too region. Hypsometric and topographic maps were used to identify high altitude ranges, and climatic factors were separated by zones. Plant species and genus divisions were identified. In some areas of the Tenir-Too the range of altitudes along the routes was studied.

Coherence,Connectedness,Dynamic Linkages Among Oil and China's Sectoral Commodities with Portfolio Implications

This paper investigates the time-frequency dependence,return and volatility connectedness,dynamic linkages,and portfolio diversification gains among oil and China’s sectoral commodities,namely,Petrochemicals(CIFI),Grains(CRFI),Energy(ENFI),Non-ferrous metals(NFFI),Oil&Fats(OOFI),and Softs(SOFI),utilizing a proposed research framework that contains the wavelet coherence,novel TVP-VAR based connectedness,and the cDCC-,DECO-FIAPARCH(1,d,1)model.The empirical results demonstrate that global oil market exhibits a relatively higher(lower)coherence with ENFI,NFFI,and OOFI(CRFI)on the long-term time horizon and the oil market leads China’s sectoral commodities during most sample periods.The crude oil market transmits significant connectedness to China’s sectoral commodities,especially the energy commodity sector(ENFI).The dynamic return and volatility total spillovers tend to intensify and exhibit significant fluctuations during the GFC and the oil price collapse.Further,the time-varying linkages among oil and China’s sectoral commodities are positive and fluctuant,mainly at a relatively low level.The dynamic return and volatility connectedness,multi-view linkages,optimal portfolio weights,and hedging ratios display significant time-varying features.The oil-commodity nexus offers diversification benefits and the optimal-weighted portfolio presents the best variance and downside risk reduction performance.Furthermore,risk management effectiveness is market-condition-dependent and heterogeneous across different commodity sectors and sub-samples.This paper can not only help investors and market regulators to capture the complex interconnectedness and risk transmission trajectory among oil and China’s sectoral commodities but also benefits for investors and portfolio managers to construct optimal portfolios and hedging strategies.

Local Government Debt,Sectoral Linkage and Resource Allocation Efficiency

Increasing the efficiency of resource allocation is the basis and guarantee for boosting high-quality economic development.Based on the panel data of Chinese industrial enterprises and cities from 2008 to 2013,this paper studies the influence of infrastructure construction demand shocks represented by local government debt expansion on the efficiency of sectoral resource allocation from the perspective of sectoral linkage.According to the empirical findings,local government debt significantly reduces the resource allocation efficiency of manufacturing sector that is highly related to infrastructure construction.This conclusion is still tenable after the robustness test using the simulated local government debt as an instrumental variable.Further mechanism tests show that there are two reasons for the decline of the efficiency of resource allocation in manufacturing sector that is highly related to infrastructure construction.First,more product demands and investments brought by the expansion of local government debt flow to less productive enterprises in the sector.Second,resource misallocation reduces the probability of high-productivity enterprises entering the market and low-productivity enterprises exiting the market,and the effect is more prominent in cities with high dependence on state-owned enterprises and high pressure on officials to be promoted.According to this study,the performance management of local government debt should be further strengthened,and particular attention should be paid to the influence of local government debt on enterprise investment and financing crowding out and resource misallocation.

Sidelobe rejection of sectoral multi-element cylinder arrays with amplitude weighting methods

This paper gives the directivity Function of a sectoral multi-element cylinder array, analyze its phase factor, explain in detail the sidelobe rejection by selecting the number of elements , baffling and amplitude weighting. They are particularly useful for directional tracking of acoustical signal and target locating .

Regional and Sectoral Patterns and Determinants of Comparative Advantage in China

China＇s export performance is marked by large regional disparities which affect trade patterns at the national level. This paper uses data from input-output tables to estimate the comparative advantage of Chinese provinces in the three main economic sectors over the period 1992-2007. In contrast to existing studies, we include the services sector in the analysis and construct not only indices of revealed comparative advantage for overall trade, but also bilateral indices for interprovincial trade. The results indicate that West and Central China have a comparative advantage in agriculture/mining, coastal provinces in manufacturing, and metropolitan provinces in services. However, interprovincial trade exhibits a more complex pattern. Regression analysis identifies labor endowments as the key determinant of comparative advantage in total trade, while physical capital is the driving force in domestic trade. Human capital and government spending have a positive effect, whereas industrial loans and taxes, along with provincial trade barriers, impair comparative advantage.

2P3FL:A Novel Approach for Privacy Preserving in Financial Sectors Using Flower Federated Learning

The increasing data pool in finance sectors forces machine learning(ML)to step into new complications.Banking data has significant financial implications and is confidential.Combining users data from several organizations for various banking services may result in various intrusions and privacy leakages.As a result,this study employs federated learning(FL)using a flower paradigm to preserve each organization’s privacy while collaborating to build a robust shared global model.However,diverse data distributions in the collaborative training process might result in inadequate model learning and a lack of privacy.To address this issue,the present paper proposes the imple-mentation of Federated Averaging(FedAvg)and Federated Proximal(FedProx)methods in the flower framework,which take advantage of the data locality while training and guaranteeing global convergence.Resultantly improves the privacy of the local models.This analysis used the credit card and Canadian Institute for Cybersecurity Intrusion Detection Evaluation(CICIDS)datasets.Precision,recall,and accuracy as performance indicators to show the efficacy of the proposed strategy using FedAvg and FedProx.The experimental findings suggest that the proposed approach helps to safely use banking data from diverse sources to enhance customer banking services by obtaining accuracy of 99.55%and 83.72%for FedAvg and 99.57%,and 84.63%for FedProx.

How can technology and efficiency alleviate the dilemma of economic growth and carbon emissions in China's industrial economy? A metafrontier decoupling decomposition analysis

This paper attempts to explore the decoupling relationship and its drivers between industrial economic increase and energy-related CO_(2) emissions(ICE). Firstly, the decoupling relationship was evaluated by Tapio index. Then, based on the DEA meta-frontier theory framework which taking into account the regional and industrial heterogeneity and index decomposition method, the driving factors of decoupling process were explored mainly from the view of technology and efficiency. The results show that during2000-2019, weak decoupling was the primary state. Investment scale expansion was the largest reason hindering decoupling process of industrial increase from ICE. Both energy saving and production technology achieved significant progress, which facilitated the decoupling process. Simultaneously, the energy technology gap and production technology gap among regions have been narrowed, and played a role in promoting decoupling process. On the contrary, both scale economy efficiency and pure technical efficiency have inhibiting effects on decoupling process. The former indicates that the scale economy of China's industry was not conducive to improve energy efficiency and production efficiency, while the latter indicates that resource misallocation problem may exist in both energy market and product market.

Large-scale particle trapping by acoustic vortices with a continuously variable topological charge

Strengthened directivity with higher-order side lobes can be generated by the transducer with a larger radius at a higher frequency. The multi-annular pressure distributions are displayed in the cross-section of the acoustic vortices(AVs)which are formed by side lobes. In the near field, particles can be trapped in the valley region between the two annuli of the pressure peak, and cannot be moved to the vortex center. In this paper, a trapping method based on a sector transducer array is proposed, which is characterized by the continuously variable topological charge(CVTC). This acoustic field can not only enlarge the range of particle trapping but also improve the aggregation degree of the trapped particles. In the experiments, polyethylene particles with a diameter of 0.2 mm are trapped into the multi-annular valleys by the AV with a fixed topological charge. Nevertheless, by applying the CVTC, particles outside the radius of the AV can cross the pressure peak successfully and move to the vortex center. Theoretical studies are also verified by the experimental particles trapping using the AV with the continuous variation of three topological charges, and suggest the potential application of large-scale particle trapping in biomedical engineering.

A Multi-Token Sector Antenna Neighbor Discovery Protocol for Directional Ad Hoc Networks

In this paper,we propose a Multi-token Sector Antenna Neighbor Discovery(M-SAND)protocol to enhance the efficiency of neighbor discovery in asynchronous directional ad hoc networks.The central concept of our work involves maintaining multiple tokens across the network.To prevent mutual interference among multi-token holders,we introduce the time and space non-interference theorems.Furthermore,we propose a master-slave strategy between tokens.When the master token holder(MTH)performs the neighbor discovery,it decides which 1-hop neighbor is the next MTH and which 2-hop neighbors can be the new slave token holders(STHs).Using this approach,the MTH and multiple STHs can simultaneously discover their neighbors without causing interference with each other.Building on this foundation,we provide a comprehensive procedure for the M-SAND protocol.We also conduct theoretical analyses on the maximum number of STHs and the lower bound of multi-token generation probability.Finally,simulation results demonstrate the time efficiency of the M-SAND protocol.When compared to the QSAND protocol,which uses only one token,the total neighbor discovery time is reduced by 28% when 6beams and 112 nodes are employed.

The First Five Years of a Phase Theory for Complex Systems and Networks

In this paper,we review the development of a phase theory for systems and networks in its first five years,represented by a trilogy:Matrix phases and their properties;The MIMO LTI system phase response,its physical interpretations,the small phase theorem,and the sectored real lemma;The synchronization of a multi-agent network using phase alignment.Towards the end,we also summarize a list of ongoing research on the phase theory and speculate what will happen in the next five years.

Stochastic Air Traffic Flow Management for Demand and Capacity Balancing Under Capacity Uncertainty

This paper introduces an innovative approach to the synchronized demand-capacity balance with special focus on sector capacity uncertainty within a centrally controlled collaborative air traffic flow management(ATFM)framework.Further with previous study,the uncertainty in capacity is considered as a non-negligible issue regarding multiple reasons,like the impact of weather,the strike of air traffic controllers(ATCOs),the military use of airspace and the spatiotemporal distribution of nonscheduled flights,etc.These recessive factors affect the outcome of traffic flow optimization.In this research,the focus is placed on the impact of sector capacity uncertainty on demand and capacity balancing(DCB)optimization and ATFM,and multiple options,such as delay assignment and rerouting,are intended for regulating the traffic flow.A scenario optimization method for sector capacity in the presence of uncertainties is used to find the approximately optimal solution.The results show that the proposed approach can achieve better demand and capacity balancing and determine perfect integer solutions to ATFM problems,solving large-scale instances(24 h on seven capacity scenarios,with 6255 flights and 8949 trajectories)in 5-15 min.To the best of our knowledge,our experiment is the first to tackle large-scale instances of stochastic ATFM problems within the collaborative ATFM framework.

What is the role of cognitive-behavioral career coaching in mitigating work anxiety and depression among public employees?

This editorial explores the study by Mkpoikanke Sunday Otu and Maximus Monaheng Sefotho on the use of cognitive-behavioral career coaching(CBCC)to reduce work anxiety and depression among public employees.Public sector workers often face significant psychological stressors,leading to mental health issues that impair well-being and job performance.The study employed a grouprandomized trial design,involving 120 public employees diagnosed with severe anxiety and depression.Participants were divided into a treatment group,receiving CBCC,and a control group with no intervention.Results showed a significant reduction in anxiety and depression levels in the treatment group,sustained through follow-up assessments.The findings underscore the clinical relevance of CBCC as an effective intervention for improving mental health among public employees.Future research should explore the scalability of CBCC across different sectors and cultural contexts,as well as its integration with other mental health interventions.This editorial advocates for the broader implementation of CBCC practices in public service to enhance employee productivity and psychological well-being.By addressing cognitive distortions and fostering adaptive coping mechanisms,CBCC can help public employees navigate complex professional environments,ultimately contributing to a healthier and more efficient workforce.