Global Targets Research Articles

Challenges and Institutional Barriers to Forest and Landscape Restoration in the Chittagong Hill Tracts of Bangladesh

Preventing, halting, and reversing ecosystem degradation is now a global priority, partly due to the declaration of the United Nations (UN) Decade on Ecosystem Restoration by the UN General Assembly 2021–2030 on 1 March 2019. Apart from the most recent global target to protect 30% of the natural planet by 2030 as part of the Kunming-Montreal Global Biodiversity Framework agreed during COP15, there are several other global goals and targets. The Government of Bangladesh (GoB) has also pledged to restore 0.75 million hectares of forests as part of the Bonn Challenge. The Chittagong Hill Tracts (CHT) of Bangladesh contain almost one-third of the country’s state-owned forests and are home to 12 ethnic communities, whose livelihoods are dependent on forests. Although once rich in biodiversity, the majority of the forests in the region are highly degraded due to faulty management, complex institutional arrangements, and land disputes with locals. The CHT, therefore, represent the most promising region for ecosystem restoration through forest and landscape restoration (FLR). Here, using the secondary literature, we examine the current institutional arrangements and drivers of deforestation and forest degradation in the CHT region and potential benefits and modalities to make FLR successful in the region. Based on our study, we suggest that institutional reform is essential for successful FLR in the CHT. We also discuss key interventions that are necessary to halt ecosystem degradation and to secure community participation in natural resources management in the region.

Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios

Stratospheric aerosol injection is a potential method of climate intervention to reduce climate risk as decarbonization efforts continue. However, possible ecosystem impacts from the strategic design of hypothetical intervention scenarios are poorly understood. Two recent Earth system model simulations depict policy-relevant stratospheric aerosol injection scenarios with similar global temperature targets, but a 10-year delay in intervention deployment. Here we show this delay leads to distinct ecological risk profiles through climate speeds, which describe the rate of movement of thermal conditions. On a planetary scale, climate speeds in the simulation where the intervention maintains temperature are not statistically distinguishable from preindustrial conditions. In contrast, rapid temperature reduction following delayed deployment produces climate speeds over land beyond either a preindustrial baseline or no-intervention climate change with present policy. The area exposed to threshold climate speeds places different scenarios in context to their relative ecological risks. Our results support discussion of tradeoffs and timescales in future scenario design and decision-making.

Analysis of the Relationship Between The Availability of Trained Health Workers and The Tuberculosis Cure Rate in Indonesia Year 2021

Tuberculosis is an infectious disease which is one of the ten causes of death in the world. Indonesia is in the third place, in the number of tuberculosis notifications after India and the Philippines in 2019 to 2020. Thus, a global target, the End TB Strategy, was set, with the aim of reducing TB cases by 90% in 2035 and in line with the National TB Management Strategy with a target of reducing incidence TB is 65 cases per 10,000 population in 2030. One of the things that plays a role in achieving the targets is the quality and quantity of trained health workers in the TB program. This study aims to determine the relationship between the availability of trained health workers and the cure rate for tuberculosis treatment in 34 provinces in Indonesia. The method used is quantitative research with a correlation study. The data used is secondary data, analyze with bivariate test and correlation test. Based on statistical tests, it was found that the results of pvalue = 0.00001 and r = 0.68, meaning that there is a significant relationship between the availability of trained health workers and the cure rate for TB treatment with a positive correlation and strong relationship strength.

Introversion, Alexithymia, and Hostility: A Path Analysis From Personality to Suicidal Ideation Among University Students.

The aim of the current study was to investigate the relationship between state (i.e., hostility) and trait (i.e., social detachment, alexithymia) psychological constructs associated with suicidal ideation among university students. A group of 190 university students was consecutively recruited in the period between September 2022 and March 2023. After a clinical interview, a series of psychological tests were administered: the Cattell's 16-Personality Factors Questionnaire (16PF), the Toronto Alexithymia Scale (TAS-20), the Symptom Checklist-90-R (SCL-90-R), and the anamnestic form of the Cognitive Behavioral Assessment (CBA2.0), which contains a specific question regarding the suicidal ideation. The analyses demonstrated that alexithymia fully mediated the relationship between a particular aspect of introversion (social detachment or low warmth) and hostility which, in turn, seemed to be a significant predictor of suicidal ideation. The path analysis conducted seemed to highlight the importance of personality traits, such as social detachment and the ability to recognize and express one's internal states, on the mental health of university students in terms of hostility and suicidal ideation. Considering that the reduction of suicide mortality has been prioritized as a global target in the 15-19 age group, identifying the psychological factors associated with it is fundamental.

Balancing protection and production in ocean conservation

AbstractWith the acceleration of the global biodiversity and climate crises, the need to protect and sustainably manage ocean resources has never been greater. However, the science needed to integrate ocean protection (through marine protected areas and OECMs) and sustainable production in the blue economy (particularly pelagic fisheries) remains underdeveloped and contested. The scientific divide and the knowledge gaps still remaining have created serious real-world challenges for practitioners seeking to reconcile protection and production approaches, and is hindering progress in achieving global conservation targets. Here, we identify the vital science necessary to bring together the “twin pillars” of protection and production, integrating mutually reinforcing meaningful protections at scale, while also driving management of production systems to internationally accepted sustainability standards. The research community must rapidly develop this new horizon of ocean science – particularly in pelagic ecosystems - to aid countries and practitioners in achieving global conservation and sustainable development targets.

Multisource‐multitarget cooperative positioning using probability hypothesis density filter in internet of vehicles

AbstractAccurate positioning of intelligent connected vehicle (ICV) is a key element for the development of cooperative intelligent transportation system. In vehicular networks, lots of state‐related measurements, especially the mutual measurements between ICVs, are shared. It is an advisable strategy to fuse these measurements for a more robust positioning. In this context, an innovative framework, referred to as multisource‐multitarget cooperative positioning (MMCP) is presented. In MMCP, ICVs are local information source, that upload both the states of ICVs estimated by on‐board sensors and the relative vectors between surrounding objects and vehicles to a fusion centre. In the fusion centre, ICVs are selected as the global targets, and the relative vectors are converted into global measurements. Then, the MMCP is modelled into a multi‐target tracking problem with specific targets. This paper proposes a low complexity Gaussian mixture probability hypothesis density (GM‐PHD‐LC) filter to match and fuse the global measurements to further improve the estimation of ICVs. The evaluation results show that our GM‐PHD‐LC can provide 10 Hz positioning services in urban area, and significantly improve the positioning accuracy compared to the standalone global navigation satellite system.

Neonatal mortality during the war in Tigray: a cross-sectional community-based study

Neonatal mortality is among the key national and international indicators of health services. The global Sustainable Development Goal target for neonatal mortality is fewer than 12 deaths per 1000 livebirths, by 2030. Neonatal mortality estimates in the 2019 Ethiopian Demographic Health Survey found 25·7 deaths per 1000 livebirths. Subnational surveys specific to Tigray, Ethiopia, reported a neonatal mortality lifetime prevalence of 7·13 deaths. Another government report from the Tigray region estimated a neonatal mortality rate of ten deaths per 1000 livebirths in 2020. Despite the numerous interventions in Ethiopia's Tigray region to achieve the Sustainable Development Goals, the war has disrupted most health services, but the effect on neonatal mortality is unknown. Thus, this study aimed to investigate the magnitude and causes of neonatal mortality during the war in Tigray. A cross-sectional community-based study was conducted in Tigray to evaluate neonatal mortality that occurred from Nov 4, 2020, to May 30, 2022. Among the 31 districts, 121 tabias were selected using computer-generated random sampling, and 189 087 households were visited. We adopted a validated WHO 2022 verbal autopsy tool, and data were collected using an interviewer-administrated Open Data Kit. In the absence of the mother, other respondents to the verbal autopsy interview were household members aged 18 years and older who provided care during the final illness that led to death. 29 761 livebirths were recorded during the screening of 189 087 households. Verbal autopsy was administered for 1158 households with neonatal deaths. 317 neonates were stillborn, and 841 neonatal deaths were recorded with the WHO 2022 verbal autopsy tool from Nov 4, 2020, to May 30, 2022, in 31 districts. The neonatal mortality rate was 28·2 deaths per 1000 livebirths. 476 (57%) of the 841 neonatal deaths occurred at home and 296 (35%) in health facilities. A high rate of neonatal deaths was reported in rural districts (80% [673 of 841]) compared with urban districts (20% [168 of 841]), and 663 (79%) deaths occurred during the early neonatal period, in the first week of life (0-6 days). The leading causes of neonatal death were asphyxia (35% [291 of 834]), prematurity (30% [247 of 834]), and infection (12% [104 of 834]). Asphyxia (37% [246 of 663]) and infection (28% [50 of 178]) were the leading causes of death for early and late neonatal period deaths, respectively. Neonatal mortality in Tigray is high due to preventable causes. An urgent response is needed to prevent the high number of neonatal deaths associated with the depleted health resources and services resulting from the war, and to achieve the Sustainable Development Goal on neonatal mortality. UNICEF and United Nations Fund for Population Activities. For the Tigrigna translation of the abstract see Supplementary Materials section.

Trends and predictors of unmet need for family planning among women living with HIV in Zambia: implications for elimination of vertical transmission of HIV

BackgroundPrevention of vertical (mother to child) transmission of HIV is one of the key strategies towards HIV epidemic control. Despite considerable progress over the past decade in Zambia, the country is yet to reach global and national target for elimination of vertical transmission of HIV. Avoidance of unintended pregnancy among women living with HIV is one of the cost-effective interventions in a comprehensive approach to prevent vertical transmission of HIV. Therefore, this study aimed at ascertaining trends in and predictors of unmet need for family planning among women living with HIV in Zambia.MethodsThe study employed a repeated cross sectional (RCS) study design, using data from the three (3) most recent consecutive rounds of the Zambia Demographic and Health Survey (ZDHS) conducted in 2007, 2013/2014 and 2018. The study used data from a total of 27,153 women aged 15–49 years over the three survey periods among whom 4,113 had an HIV positive result following a rigorous HIV testing algorithm of the demographic and health surveys, and these constituted our sample size of women living with HIV. We used descriptive statistics and logistic regression analyses to respectively ascertain trends in and predictors of unmet need for family planning among women living with HIV.ResultsOver the three survey points, unmet need for family planning among women living with HIV has largely remained unchanged from 20.8% in 2007 to 20.5% in 2013/14 and 21.1% in 2018 DHS. Residence, age of women, household wealth, woman’s parity, employment, and age of spouse emerged as significant predictors of unmet need for family planning among women living with HIV in Zambia.ConclusionPreventing HIV infection in a child preserves life, contributes to improving quality of life from its early stages and averts lifetime costs of HIV treatment and associated healthcare costs. There is need to consider optimization of interventions to prevent vertical transmission of HIV including shaping programming regarding preventing unintended pregnancies among women living with HIV. Among other aspects, policy and practice need to strengthen SRH/HIV integration and better target rural residents, younger women, those with high parity and consider positive male engagement to reduce unmet need for family planning among women living with HIV.

Other Effective Area-Based Conservation Measures (OECMs) in Australia: Key Considerations for Assessment and Implementation

Other effective area-based conservation measures (OECMs) have been a feature of global biodiversity targets since 2010 (Aichi Targets, Kunming-Montreal Global Biodiversity Framework), although the concept has only relatively recently been formally defined. Although uptake has been limited to date, there is much interest in identifying OECMs to contribute to the target of protecting at least 30% of terrestrial, freshwater and ocean areas by 2030, in conjunction with protected areas. Australia has a long history of protected area development across public, private and Indigenous lands, but consideration of OECMs in policy has recently begun in that country. We review principles proposed by the Australian Government for OECMs in Australia and highlight where these deviate from global guidance or established Australian area-based policy. We examined various land use categories and conservation mechanisms to determine the likelihood of these categories/mechanisms meeting the OECM definition, with a particular focus on longevity of the mechanism to sustain biodiversity. We identified that the number of categories/mechanisms that would meet the OECM definition is relatively small. A number of potentially perverse outcomes in classifying an area as an OECM are highlighted in order to guide proactive policy and program design to prevent such outcomes occurring.

Is Norway on the pathway to green growth? Evidence on decoupling between GDP and environmental footprints

AbstractProponents of green growth argue that technological advancements and price signals can decouple economic growth from environmental impact through resource substitution and enhanced efficiency. In this research, we investigate the extent to which economic growth in Norway is decoupling from three key indicators of environmental pressure: energy use, greenhouse gas (GHG) emissions, and material consumption. Our findings show efficiency improvements across all of these indicators, but no absolute decoupling for any of them, and less so, a sufficient absolute decoupling to meet global sustainability targets. Despite the prevalent discourse surrounding a purported ‘green shift’, the overall environmental pressure within Norway is still on an upward trajectory. Mounting evidence regarding the absence of sufficient absolute decoupling suggests that the time may be ripe for high‐income nations like Norway to transcend policy focus on green growth and engage in transitions towards a post‐growth economy.

Children`s dietary patterns and their maternal determinants during the first 5 years of life: Information from the Growing Up in New Zealand cohort

Monitoring indicators of children`s diet quality at the national level is imperative to examine if a country is on track to achieving children`s global nutrition targets and fulfilling the related Sustainable Development Goals. Despite the importance of diet quality in early life and its impact in health and wellbeing throughout the life course, Aotearoa New Zealand has limited information that is nationally representative or generalizable on children`s diet quality, especially among children under 5 years old. The only national child nutrition survey conducted to date took place two decades ago and involved children 5 years of age and older. We have previously used data collected by the Growing in Up in New Zealand cohort study, which is nationally generalizable, to partially fill historic gaps in knowledge of children`s diet and feeding practices in the first five years of life. Information on breastfeeding initiation, duration and exclusivity, timing of food introduction and whole-of-diet adherence to National Food and Nutrition Guidelines have been previously published 1–3. This work intends to complement information on NZ children`s diet quality by examining the cohort`s dietary patterns (DPs) at 9- (n = 6,259), 24- (n = 6,292), and 54-months (n = 6,131) and their maternal sociodemographic and health behaviour determinants. At all time-points, children`s DPs were identified using principal components analyses. Multivariate linear regressions were performed to examine the associations between each DP and the maternal variables. At 9-, 24- and 54-months two distinct DPs were identified, explaining, 36.4%, 35.3% and 33.6% of children`s intake variability, respectively. The Refined high in sugar and salt DP, at all time-points, was characterised by high positive loadings in white/refined breads and cereals and items with high content of sugar, sodium, and fat. At 24-months, the Refined high in sugar and salt DP also had high positive loading in the protein group. The Fruit/Vegetables DP, at all time-points, had high positive loadings for fruits and vegetables (with type varying across time-points). The Fruit/Vegetables DP had high loading in whole grain options of breads and cereals at 24-months and positive loading in the protein group at 9- and 54-months. High scores on the Refined high in sugar and salt DP at the three time-points were associated with maternal smoking habits, maternal education level, ethnicity, and maternal scores in the “Junk” and “Traditional/White bread” DPs (obtained at the antenatal maternal interview). High children’s scores on the Fruit/Vegetables DP, at all time-points, were associated with the maternal antenatal score in the “Health Conscious” DP. Findings support that policies and interventions aiming to improve early life diets in NZ should be culturally safe and support mothers’ access to formal education, healthy diets, and smoking cessation.

Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science.

Heart failure (HF) is a well-described final common pathway for a broad range of diseases however substantial confusion exists regarding how to describe, study, and track these underlying etiologic conditions. We describe (1) the overlap in HF etiologies, comorbidities, and case definitions as currently used in HF registries led or managed by members of the global HF roundtable; (2) strategies to improve the quality of evidence on etiologies and modifiable risk factors of HF in registries; and (3) opportunities to use clinical HF registries as a platform for public health surveillance, implementation research, and randomized registry trials to reduce the global burden of noncommunicable diseases. Investment and collaboration among countries to improve the quality of evidence in global HF registries could contribute to achieving global health targets to reduce noncommunicable diseases and overall improvements in population health.

Structural deep multi-view clustering with integrated abstraction and detail

Deep multi-view clustering, which can obtain complementary information from different views, has received considerable attention in recent years. Although some efforts have been made and achieve decent performances, most of them overlook the structural information and are susceptible to poor quality views, which may seriously restrict the capacity for clustering. To this end, we propose Structural deep Multi-View Clustering with integrated abstraction and detail (SMVC). Specifically, multi-layer perceptrons are used to extract features from specific views, which are then concatenated to form the global features. Besides, a global target distribution is constructed and guides the soft cluster assignments of specific views. In addition to the exploitation of the top-level abstraction, we also design the mining of the underlying details. We construct instance-level contrastive learning using high-order adjacency matrices, which has an equivalent effect to graph attention network and reduces feature redundancy. By integrating the top-level abstraction and underlying detail into a unified framework, our model can jointly optimize the cluster assignments and feature embeddings. Extensive experiments on four benchmark datasets have demonstrated that the proposed SMVC consistently outperforms the state-of-the-art methods.

Noncommunicable disease incidence and mortality in Chandigarh Union Territory, 2018–2019: Findings from the Chandigarh Noncommunicable Disease Registry

Context: The Chandigarh Noncommunicable Disease (NCD) Registry was set up in 2018 to assess the burden of major NCDs and inform the planning of public health and clinical interventions. Aim: The aim of the present study was to assess the burden of NCDs in Chandigarh. Settings and Design: The cross-sectional study design includes data from government and private facilities, pathology laboratories, birth, and death registrar offices catering to urban and rural Chandigarh. Subjects and Methods: It collects data of young diabetes, stroke, acute cardiac events, aplastic anemia, and cancer patients using a structured questionnaire. Statistical Analysis Used: The study reports a descriptive analysis of case distribution, done using SPSS version 23. MS Excel 2016 was used to produce graphical illustrations and calculate age-adjusted rates using the world standard population. Results: During July 2018–December 2019, 3721 (incident and death) cases were recorded for cancer (n = 2414, 64.9%), acute cardiac events (n = 1034, 27.8%), stroke (n = 231, 6.2%), young diabetes (n = 28, 0.8%), and aplastic anemia (n = 14, 0.4%). The age-adjusted incidence and mortality rates (per 100,000 population) were calculated for cancer (males: 102.6 and 62.0; females: 100.8 and 52.9), acute cardiac events (males: 47.1; females: 21.7 and 28.8), and stroke (males: 7.5 and 8.5; females: 13.1 and 21.8). Study participants were exposed to tobacco and alcohol consumption. Positive family history was reported by 40% of the registered patients. Conclusions: An integrated model of the NCD registry is feasible and can yield evidence in low-resource settings for secondary prevention to achieve global targets for reducing risk factors and premature mortality due to NCDs.

Strengthening national salt reduction strategies using mixed methods process evaluations – case studies from Malaysia and Mongolia

Almost half of countries globally are implementing national strategies to lower population salt intake towards the World Health Organization’s target of a 30% reduction by 2025(1). However, most are yet to lower population salt intake(1). We conducted process evaluations of national salt reduction strategies in Malaysia and Mongolia to understand the extent to which they were implemented and achieving their intended outcomes, using the findings to generate insights on how to strengthen strategies and accelerate population salt reduction. Mixed methods process evaluations were conducted at the mid-point of implementation of the strategies in Malaysia (2018-19) and Mongolia (2020-21)(2). Guided by theoretical frameworks, information on the implementation, mechanism and contextual barriers and enablers of the strategies were collected through desk-based reviews of documents related to salt reduction, interviews with key stakeholders (n = 12 Malaysia, n = 10 Mongolia), and focus group discussions with health professionals in Malaysia (n = 43) and health provider surveys in Mongolia (n = 12). Both countries generated high-quality evidence about salt intake and salt levels in foods, and culturally-specific education resources in 3 and 5 years respectively. However, in Malaysia there was moderate dose delivered and low reach in terms of education and reformulation activities. Within 5 years, Mongolia implemented education among schools, health professionals and food producers on salt reduction with high reach but with moderate dose and reach among the general population. There were challenges in both countries with respect to implementing legislative interventions and both could improve the scaling up of their reformulation and education activities to have population-wide reach and impact. In the first half of Malaysia’s and Mongolia’s strategies, both countries generated necessary evidence and education materials, mobilised health professionals to deliver salt reduction education and achieved small-scale salt reformulation in foods. However, both faced challenges in implementing regulatory policies and the scaling up of their reformulation and education activities to have population-wide reach and impact could be strengthened. Similar process evaluations of existing salt reduction strategies are needed to strengthen intervention delivery and inform areas for adaptation, to aid achievement of the WHO’s global target of a 30% reduction in population salt intake by 2025.

Delays in health seeking, diagnosis and treatment for tuberculosis patients in Mongolia: an analysis of surveillance data, 2018-2021.

Early diagnosis and treatment of infectious tuberculosis (TB) is essential to the attainment of global targets specified in the End TB Strategy. Using case-based TB surveillance data, we analysed delays in health seeking, diagnosis and treatment among TB patients in Mongolia from 2018 to 2021. We calculated the median and interquartile range (IQR) for "diagnostic delay," defined as the time from symptom onset to diagnosis, subdivided into "health-seeking delay" (time from symptom onset to first visit to a health facility) and "health facility diagnostic delay" (time from first health facility visit to diagnosis), and for "treatment delay," defined as the time from diagnosis to start of treatment. We also calculated "total delay," defined as the time from symptom onset to treatment start. Based on data for 13 968 registered TB patients, the median total delay was estimated to be 37 days (IQR, 19-76). This was mostly due to health-seeking delay (median, 23 days; IQR, 8-53); in contrast, health facility diagnostic delay and treatment delay were relatively short (median, 1day; IQR, 0-7; median, 1day; IQR, 0-7, respectively). In 2021, health-seeking delay did not differ significantly between men and women but was shorter in children than in adults and shorter in clinically diagnosed than in bacteriologically confirmed TB cases. Health-seeking delay was longest in the East region (median, 44.5days; IQR, 20-87) and shortest in Ulaanbaatar (median, 9; IQR, 14-64). TB treatment delay was similar across sexes, age groups and types of TB diagnosis but slightly longer among retreated cases and people living in Ulaanbaatar. Efforts to reduce TB transmission in Mongolia should prioritize decreasing delays in health seeking.

Projected changes in Köppen‒Trewartha climate zones under 1.5–4 °C global warming targets over mid-high latitudes of Northern Asia using an ensemble of RegCM4 simulations

Mid-high latitude Northern Asia is one of the most vulnerable and sensitive areas to global warming, but relatively less studied previously. We used an ensemble of a regional climate model (RegCM4) projections to assess future changes in surface air temperature, precipitation and Köppen‒Trewartha (K‒T) climate types in Northern Asia under the 1.5–4 °C global warming targets. RegCM4 is driven by five CMIP5 global models over an East Asia domain at a grid spacing of 25 km. Validation of the present day (1986–2005) simulations shows that the ensembles of RegCM4 (ensR) and driving GCMs (ensG) reproduce the major characters of the observed temperature, precipitation and K‒T climate zones reasonably well. Greater and more realistic spatial detail is found in RegCM4 compared to the driving GCMs. A general warming and overall increases in precipitation are projected over the region, with these changes being more pronounced at higher warming levels. The projected warming by ensR shows different spatial patterns, and is in general lower, compared to ensG in most months of the year, while the percentage increases of precipitation are maximum during the cold months. The future changes in K‒T climate zones are characterized by a substantial expansion of Dc (temperature oceanic) and retreat of Ec (sub-arctic continental) over the region, reaching ∼20% under the 4 °C warming level. The most notable change in climate types in ensR is found over Japan (∼60%), followed by Southern Siberia, Mongolia, and the Korean Peninsula (∼40%). The largest change in the K‒T climate types is found when increasing from 2 to 3 °C. The results will help to better assess the impacts of climate change and in implementation of appropriate adaptation measures over the region.

Research on local sound field intensity control technique in metasurface based on deep neural networks.

The use of tunable metasurface technology to realize the underwater tracking function of submarines, which is one of the hotspots and difficulties in submarine design. The structure-to-sound-field metasurface design approach is a highly iterative process based on trial and error. The process is cumbersome and inefficient. Therefore, an inverse design method was proposed based on parallel deep neural networks. The method took the global and local target sound field feature information as input and the metasurface physical structure parameters as output. The deep neural network was trained using a kernel loss function based on a radial basis kernel function, which established an inverse mapping relationship between the desired sound field to the metasurface physical structure parameters. Finally, the sound field intensity modulation at a localized target range was achieved. The results indicated that within the regulated target range, this method achieved an average prediction error of less than 5 dB for 92.9% of the sample data.

Antecedent and outcome study on energy transition - empirical evidence from G7 countries in TBL approach

Increasing investment in energy R&D (SDG 7.4) is critical to fostering the renewable energy transition (SDG 7.2) and in a way to meet the global climate target (SDG 13). Although public investments in renewable energy are increasing, they remain insufficient to meet the G7 countries' climate commitments. In the present study, renewable R&D investment (RRDI) is considered as an antecedent variable to determine its influence on the outcome variable renewable energy share (RES) when mediated by transition variables. The energy transition variables are categorized into Triple Bottom Line (TBL) factors namely, Economic factors (Fossil Energy Price, Low carbon trade), Social factors (Nationally determined contributions, Unemployment), and Environmental factors (Renewable energy installed Capacity, Environmental Tax, Fossil Fuel Subsidies), they play the role of the mediating variables. The proposed conceptual framework is supported by regulatory focus theory to promote R&D investment. The hypotheses are tested for G7 countries' annual data spanning the years 2000 to 2021 using SPSS mediation analysis with Process-Macro. The analysis reveals that TBL factors are significantly enhancing the RRDI and RES relationships in Germany, Japan, and the UK. The USA and Japan experience less economic impact from oil price fluctuations. The NDCs are mediating to a greater extent to improve the relationship between R&D and renewable energy in Canada, France, and the UK. The lack of significant mediation effects of economic, social, and environmental factors in the USA and Italy indicates that policies in the USA and Italy are not strategically managed to improve the relationship between RRDI and RES. Further, the study suggests designing policies considering TBL principles to increase their average renewable R&D public investments to attain Sustainable Development Goal 7 (SDG7). The G7 energy transition has slowed down due to an imbalance in the policies to regulate the prevention-promotional aspects of the energy transition.

Rectification for Stitched Images with Deformable Meshes and Residual Networks

Image stitching is an important method for digital image processing, which is often prone to the problem of the irregularity of stitched images after stitching. And the traditional image cropping or complementation methods usually lead to a large number of information loss. Therefore, this paper proposes an image rectification method based on deformable mesh and residual network. The method aims to minimize the information loss at the edges of the spliced image and the information loss inside the image. Specifically, the method can select the most suitable mesh shape for residual network regression according to different images. Its loss function includes global loss and local loss, aiming to minimize the loss of image information within the grid and global target. The method in this paper not only greatly reduces the information loss caused by irregular shapes after image stitching, but also adapts to different images with various rigid structures. Meanwhile, its validation on the DIR-D dataset shows that the method outperforms the state-of-the-art methods in image rectification.